< * | *** >
Create / insert / refresh 
- create col_type
- create table
- create view
- insert values
- refresh dirty view
- view data model & parameters
- upsert (merge table)
- save
- insert from file
- delete
- refresh_online
- partitions
- refresh_online & partitions
- refresh advanced
- deletes & refresh_online
Basics
- flat select
- group by select
- callback basics
- common aggregation operators
- other aggregation operators
- orphans management and dimension priority
- escape quote
- Stormbase & Lua
- utility Lua functions
- callback Lua functions
- data model modification #1
- data model modification #2
- where clause basics
- where clause / Lua boolean function
- (not)exists basics
- col_type_checks basics
- col_type_checks advanced
- permissions
- dynamic code
Commands
- defragmentation
- continue_on_error/stop_on_error
- basics shells
- export.sh
- import.sh
- sql.sh
- y/n (sql.sh)
- display (sql.sh)
- bounce
- shutdown
Contexts
Analytics
- functions
- function fn_having
- function fn_store/fn_merge basics
- function fn_build_filter
- function fn_apply_filter
- function fn_pivot
- function fn_filter_pivot
- function fn_unpivot
- function fn_custom
Parameters
Others
- reduce memory and disk usage
- need to force a value during an insert
- function sb_export
- set_text/set_sparse_text
- show table statistics (work in progress)
- allow errors in select
- sb_parallel
- fn_compute_info / fn_smart_delete (beta)
- set_dirty
- backup
- dates
- SB tags
- index vs no_index read
- countsequence
- hide data from memory
- countdistinct & high sparsity
- number format/precision
Loop/update data
Computed columns
- Basic types using loop function fn_computed_col
- SB parameter
- SB C interface
- priority between computed column and real column
- computed column basics
- computed columns with analytic function
- computed columns with param
- optimized contexts (type A)
- optimized contexts (type B)
- using other columns
- using other columns (better code)
- SB predefined contexts C API
- using context basics
- using custom context
- using indexes on computed columns
Cluster
- cluster_readme.txt
- init cluster
- start cluster
- basics
- desc
- custom.js
- SB_CLUSTER tag
- REGEX_FIRST_NODE_ONLY
- errors management
Pg_companion
Transac sql
Version
Taxi benchmark
-- ########################### -- RUNNING stop_on_error.sql stop_on_error;
reponse success
-- ########################### -- RUNNING clear.sh
/*
sure mode, no confirmation prompt
clearing directory INTERNAL_FILES_DIR (../STORAGE/INT) ...
done
clearing directory MAX_PERF_FILES_DIR (../STORAGE/MAX_PERF) ...
done
clearing directory TRANSAC_FILES_DIR (../STORAGE/TRANSAC) ...
done
*/
-- ########################### -- RUNNING doc_data_full.sql -- --Create / insert / refresh
--create col_type
create col_type <end_user|col_type_name> as <number|text> --In stormbase there are only 2 primary data types: text and number. --On top of this primary types you define your col_type (the functional data type). --Why ? in SB you can join 2 columns if and only if they have the same col_type. create col_type t_site_id as text;
reponse success
create col_type t_dept_id as text;
reponse success
create col_type t_item_id as text;
reponse success
create col_type t_customer_id as text;
reponse success
create col_type t_date as text;
reponse success
create col_type t_customer_info as text;
reponse success
--the end_user col_type is used for permissions (explained later) create col_type end_user as text;
reponse success
--Assuming you an integer value in a column, will you define it as text or number? --The answer is simple. Are you going to sum this column? If yes then it is a number column, otherwise it is a text column. --So if your integer column contains for example a status code, use text. And if it contains quantities, use number. --create table
create table <|merge|big> table_name ( column_name1 <number|text|col_type_name>, ...) -- In Stormbase, a table has a type: raw (no specific type), merge or big. -- In traditional BI, big tables would be your fact tables (at the center of your star schema). -- First column of a merge table becomes is primary key of the table. -- Merge tables have an "insert or update" logic, based on the primary key. -- In traditional BI, merge tables would be the dimension tables of your star schema. --items and customers are merge tables, last insert wins and updates using the primary key --they will be used as dimensions in views create merge table items( item_id t_item_id, art_label text, dept t_dept_id, avg_week_sales number, sales_price number);
reponse success
create merge table customers( customer_id t_customer_id, customer_name text);
reponse success
--these tables are raw tables (first column is a primary key) create table item_tags( item_id t_item_id, tag text);
reponse success
create table fidelity_cards( customer_id t_customer_id, card_label t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create table item_customer_infos( customer_id t_customer_id, item_id t_item_id, info t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create big table sales( item_id t_item_id, customer_id t_customer_id, sales_date t_date, sales_qty number, line_id text, packaging_id t_item_id);
reponse success
create big table inventory( item_id t_item_id, inv_qty number);
reponse success
--create view
create view view_name as select * from table_name1, table_name2, ... where table_name1.column_nameA = table_name2.column_nameB ... --In SB you query view not tables, so we create "one table views" create view v_items as select * from items;
reponse success
create view v_item_tags as select * from item_tags;
reponse success
create view v_fidelity_cards as select * from fidelity_cards;
reponse success
create view v_item_customer_infos as select * from item_customer_infos;
reponse success
--most important, this view will link fact with dimensions create view v_sales as select * from sales, items, customers where items.item_id=sales.item_id and customers.customer_id=sales.customer_id;
reponse success
create view v_inventory as select * from inventory, items where items.item_id=inventory.item_id;
reponse success
--insert values
insert into table_name values('col1_value','col2_value',...) insert into items values('artA','the article A','dept #1',10,1.5);
reponse success
insert into items values('artB','the article B','dept #2',10,3.2);
reponse success
insert into items values('box1','a box','packaging',10,0);
reponse success
insert into customers values('C1','customer #1')('C2','customer #2');
reponse success
insert into item_tags values('artA','tag #1');
reponse success
insert into item_tags values('artA','tag #2');
reponse success
insert into fidelity_cards values('C1','SILVER','20191201','20191231');
reponse success
insert into fidelity_cards values('C1','GOLD','20201201','20201231');
reponse success
insert into item_customer_infos values('C1','artA','FREQUENT BUYER of artA in 2019','20190101','20191231');
reponse success
insert into item_customer_infos values('C1','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into item_customer_infos values('C2','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into sales values('artA','C1','20191231',5,'ID01','box1');
reponse success
insert into sales values('artB','C2','20200102',6,'ID02','');
reponse success
insert into sales values('artB','C1','20191231',4,'ID03','');
reponse success
insert into sales values('artB','C2','20200102',7,'ID04','box1');
reponse success
insert into sales values('artC','C1','20200102',8,'ID05','');
reponse success
insert into sales values('artA','C1','20191231',5,'ID06','box1');
reponse success
insert into sales values('artA','C2','20191231',5,'ID07','box1');
reponse success
insert into inventory values('artA',32);
reponse success
insert into inventory values('artC',12);
reponse success
--refresh dirty view
Refresh the views after insert
Dirty means that data has been inserted in the first table of the view since last refresh
refresh dirty view refresh dirty view;
reponse success
--view data model & parameters
Desc (describe) command
desc <|col_type|table|view|context|computed_columns|parameter> desc col_type <|verbose> desc table the_table <|verbose> desc view the_view <|verbose> set CACHE='n';
reponse success
desc;
object_name object_type t_site_id col_type t_dept_id col_type t_item_id col_type t_customer_id col_type t_date col_type t_customer_info col_type end_user col_type items table customers table item_tags table fidelity_cards table item_customer_infos table sales table inventory table v_items view v_item_tags view v_fidelity_cards view v_item_customer_infos view v_sales view v_inventory view TCP_PORT_TRANSAC parameter LOG_VERBOSE parameter CPU_COUNT parameter SLEEP_AFTER_SQL parameter ARRAY_BLOCK_SIZE_BIG parameter ARRAY_BLOCK_SIZE_SMALL parameter PROD_SERVER parameter MAX_PERF_USE_COMPRESSION parameter PARETO_LIMIT parameter CACHE parameter MAX_PERF_CHANGE_COUNT parameter ALLOW_WHERE_ERROR parameter ALLOW_GROUP_BY_ERROR parameter INIT_FILE_PATH parameter
desc col_type;
col_type_name data_type ival_count t_site_id text 0 t_dept_id text 3 t_item_id text 5 t_customer_id text 3 t_date text 7 t_customer_info text 4 end_user text 0
desc col_type verbose;
col_type_name data_type ival_count t_site_id text 0 t_dept_id text 3 t_item_id text 5 t_customer_id text 3 t_date text 7 t_customer_info text 4 end_user text 0 sys#type#items#art_label text 3 sys#type#items#avg_week_sales number 1 sys#type#items#sales_price number 3 sys#type#customers#customer_name text 2 sys#type#item_tags#tag text 2 sys#type#sales#sales_qty number 5 sys#type#sales#line_id text 7 sys#type#inventory#inv_qty number 2
desc table;
table_name column_count line_count has_delete has_update parent_view_hidden items 5 3 n n n customers 2 2 n n n item_tags 2 2 n n n fidelity_cards 4 2 n n n item_customer_infos 5 3 n n n sales 6 7 n n n inventory 2 2 n n n
desc table items;
table_name column_name column_type col_type_name items item_id text t_item_id items art_label text sys#type#items#art_label items dept text t_dept_id items avg_week_sales number sys#type#items#avg_week_sales items sales_price number sys#type#items#sales_price
desc table item_tags;
table_name column_name column_type col_type_name item_tags item_id text t_item_id item_tags tag text sys#type#item_tags#tag
desc table item_tags verbose;
table_name column_name column_type col_type_name item_tags item_id text t_item_id item_tags tag text sys#type#item_tags#tag
desc view;
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_items 1 3 n n n 10 0 13 13 0 0 v_item_tags 1 2 n n n 10 0 12 12 0 0 v_fidelity_cards 1 2 n n n 10 0 12 12 0 0 v_item_customer_infos 1 3 n n n 10 0 13 13 0 0 v_sales 3 7 n n n 10 2 15 17 0 0 v_inventory 2 2 n n n 10 0 12 12 0 0
desc view v_items;
view_name table_name column_names v_items items item_id,art_label,dept,avg_week_sales,sales_price
desc view v_item_tags;
view_name table_name column_names v_item_tags item_tags item_id,tag
desc view v_sales;
view_name table_name column_names v_sales sales item_id,customer_id,sales_date,sales_qty,line_id,packaging_id v_sales items item_id,art_label,dept,avg_week_sales,sales_price v_sales customers customer_id,customer_name
desc view v_sales verbose;
view_name table_name column_name column_type col_type_name v_sales sales item_id text t_item_id v_sales sales customer_id text t_customer_id v_sales sales sales_date text t_date v_sales sales sales_qty number sys#type#sales#sales_qty v_sales sales line_id text sys#type#sales#line_id v_sales sales packaging_id text t_item_id v_sales items item_id text t_item_id v_sales items art_label text sys#type#items#art_label v_sales items dept text t_dept_id v_sales items avg_week_sales number sys#type#items#avg_week_sales v_sales items sales_price number sys#type#items#sales_price v_sales customers customer_id text t_customer_id v_sales customers customer_name text sys#type#customers#customer_name
--upsert (merge table)
Insert into a merge table will upsert (update if PK already exits, insert otherwise)
select * from v_items;
item_id art_label dept avg_week_sales sales_price artA the article A dept #1 10 1.500 artB the article B dept #2 10 3.200 box1 a box packaging 10 0
insert into items values('artA','### the article A ###','dept #1',10,12.123);
reponse success
refresh dirty view;
reponse success
select * from v_items;
item_id art_label dept avg_week_sales sales_price artB the article B dept #2 10 3.200 box1 a box packaging 10 0 artA ### the article A ### dept #1 10 12.123
--save
Save data on disk (persistence)
save save;
reponse success
-- insert into sales values('artA','C2','20191231',5,'ID07','box1');
reponse success
desc table callback where(1,'sales');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 8 n n n
bounce; --insert is lost desc table callback where(1,'sales');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 7 n n n
insert into sales values('artA','C2','20191231',5,'ID07','box1');
reponse success
--save data on disk save;
reponse success
bounce; --insert is not lost desc table callback where(1,'sales');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 8 n n n
insert into sales values('artA','C2','20191231',5,'ID07_','box1');
reponse success
--table is updated desc table callback where(1,'sales');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 9 n n n
--but not the view select count(*) from v_sales;
count(*) 7
--because view is dirty desc view callback where(1,'v_sales');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 7 y n n 10 2 15 17 0 0
save;
reponse success
bounce; --view is still dirty if we bounce SB desc view callback where(1,'v_sales') ;
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 7 y n n 10 2 15 17 0 0
refresh dirty view;
reponse success
--view is no longer dirty desc view callback where(1,'v_sales') ;
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 9 n n n 10 2 17 19 0 0
--and count is correct select count(*) from v_sales ;
count(*) 9
insert from file
insert into table_name select * from file(<'path/to/file'|'file_name under CSV_FILES_DIR/table_name'>) desc parameter verbose callback where(1,'FILE_SEPARATOR');
param_name current_value comment is_default default_value FILE_SEPARATOR , one character, CSV file separator y ,
desc parameter verbose callback where(1,'HEADER');
param_name current_value comment is_default default_value HEADER y y/n, y: CSV files have a header line y y
--path/to/file (contains at least one /) system '(echo ''item_id,customer_id,sales_date,sales_qty,line_id''>/tmp/foo.csv)';
reponse
system '(echo ''item_id_01,customer_id_01,sales_date_01,1,line_id_01''>>/tmp/foo.csv)';
reponse
insert into sales select * from file('/tmp/foo.csv');
reponse success
--using CSV_FILES_DIR desc parameter verbose callback where(1,'CSV_FILES_DIR');
param_name current_value comment is_default default_value CSV_FILES_DIR ../STORAGE/CSV string, CSV file location used in "insert from file" when file path does not start with / y ../STORAGE/CSV
system 'mkdir -p ../STORAGE/CSV/sales';
reponse
system '(echo ''item_id,customer_id,sales_date,sales_qty,line_id''>../STORAGE/CSV/sales/foo.csv)';
reponse
system '(echo ''item_id_02,customer_id_03,sales_date_04,1,line_id_05''>>../STORAGE/CSV/sales/foo.csv)';
reponse
insert into sales select * from file('foo.csv');
reponse success
--the column order does not matter --in HEADER:y mode, SB is flexible regarding the columns provided in the csv file --header is not case sensitive desc parameter verbose callback where(1,'NEW_COLUMN_NULL_STRING');
param_name current_value comment is_default default_value NEW_COLUMN_NULL_STRING NO_DATA string, default value when a column is added to a table or when a column is not provided in a CSV file y NO_DATA
system '(echo ''sales_DATE,item_id,sales_qty_new,line_id''>/tmp/foo.csv)';
reponse
system '(echo ''sales_date_03,item_id_03,3,line_id_03''>>/tmp/foo.csv)';
reponse
system '(echo ''sales_date_03,item_id_04,4,line_id_04''>>/tmp/foo.csv)';
reponse
insert into sales select * from file('/tmp/foo.csv');
reponse success
--same with a merge table system '(echo ''___art_label,dept,item_id''>/tmp/foo.csv)';
reponse
system '(echo ''art_label_01,dept_01,item_id_01''>>/tmp/foo.csv)';
reponse
system '(echo ''art_label_02,dept_02,artA''>>/tmp/foo.csv)';
reponse
insert into items select * from file('/tmp/foo.csv');
reponse success
--SB is not flexible if HEADER:n set HEADER='n';
reponse success
continue_on_error(63);
reponse success
insert into items select * from file('/tmp/foo.csv');
reponse error 63 (continue): end of line found where non expected
stop_on_error;
reponse success
set HEADER='y';
reponse success
--view new lines refresh dirty view;
reponse success
select sales#item_id,sales#customer_id,sales_date,sales_qty,line_id from v_sales callback sort(5,'asc');
sales#item_id sales#customer_id sales_date sales_qty line_id artA C1 20191231 5 ID01 artB C2 20200102 6 ID02 artB C1 20191231 4 ID03 artB C2 20200102 7 ID04 artC C1 20200102 8 ID05 artA C1 20191231 5 ID06 artA C2 20191231 5 ID07 artA C2 20191231 5 ID07 artA C2 20191231 5 ID07_ item_id_01 customer_id_01 sales_date_01 1 line_id_01 item_id_03 NO_DATA sales_date_03 0 line_id_03 item_id_04 NO_DATA sales_date_03 0 line_id_04 item_id_02 customer_id_03 sales_date_04 1 line_id_05
select * from v_items callback sort(1,'asc');
item_id art_label dept avg_week_sales sales_price artA NO_DATA dept_02 0 0 artB the article B dept #2 10 3.200 box1 a box packaging 10 0 item_id_01 NO_DATA dept_01 0 0
--parameter ESCAPE_SEPARATOR_INSIDE_DOUBLE_QUOTE desc parameter verbose callback where(1,'ESCAPE_SEPARATOR_INSIDE_DOUBLE_QUOTE');
param_name current_value comment is_default default_value ESCAPE_SEPARATOR_INSIDE_DOUBLE_QUOTE n y/n, y: ,"abc,def", in a csv file with , separator is interpreted as one value: abc,def y n
system '(echo ''art_label,dept,item_id''>/tmp/foo.csv)';
reponse
system '(echo ''"art_label_03,art_label_03",dept_03,"item_id_03,item_id_03"''>>/tmp/foo.csv)';
reponse
continue_on_error(63);
reponse success
insert into items select * from file('/tmp/foo.csv');
reponse error 63 (continue): end of line found where non expected
stop_on_error;
reponse success
set escape_separator_inside_double_quote='y';
reponse success
insert into items select * from file('/tmp/foo.csv');
reponse success
--buffer load for huge files, in this mode SB is not flexible even if HEADER:y set file_load_without_buffer='n';
reponse success
system '(echo ''item_id,art_label,dept,avg_week_sales,sales_price''>/tmp/foo.csv)';
reponse
system '(echo ''"item_id_04,item_id_04","art_label_04,art_label_04",dept_04,99,12.123''>>/tmp/foo.csv)';
reponse
insert into items select * from file('/tmp/foo.csv');
reponse success
--view new lines refresh dirty view;
reponse success
select sales#item_id,sales#customer_id,sales_date,sales_qty,line_id from v_sales;
sales#item_id sales#customer_id sales_date sales_qty line_id artA C1 20191231 5 ID01 artB C2 20200102 6 ID02 artB C1 20191231 4 ID03 artA C1 20191231 5 ID06 artA C2 20191231 5 ID07 artA C2 20191231 5 ID07 artA C2 20191231 5 ID07_ artB C2 20200102 7 ID04 artC C1 20200102 8 ID05 item_id_01 customer_id_01 sales_date_01 1 line_id_01 item_id_02 customer_id_03 sales_date_04 1 line_id_05 item_id_03 NO_DATA sales_date_03 0 line_id_03 item_id_04 NO_DATA sales_date_03 0 line_id_04
select * from v_items;
item_id art_label dept avg_week_sales sales_price artB the article B dept #2 10 3.200 box1 a box packaging 10 0 item_id_01 NO_DATA dept_01 0 0 artA NO_DATA dept_02 0 0 item_id_03,item_id_03 art_label_03,art_label_03 dept_03 0 0 item_id_04,item_id_04 art_label_04,art_label_04 dept_04 99 12.123
bounce; --delete
--before situation select customer_id, count(*) from v_sales group by customer_id;
customer_id count(*) C1 4 C2 3
desc table callback where(1,'sales');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 9 n n n
--run delete delete sales where customer_id='C1';
reponse success
desc table callback where(1,'sales');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 9 y n n
--apply delete refresh dirty view;
reponse success
--delete has been applied select customer_id, count(*) from v_sales group by customer_id;
customer_id count(*) C2 5
desc table callback where(1,'sales');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 5 n n n
--nothing to delete case (won't trigger table/view rebuild) delete sales where customer_id='C1';
reponse success
desc table callback where(1,'sales');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 5 n n n
bounce; --run select delete sales where customer_id='C1';
reponse success
bounce; --apply select refresh dirty view;
reponse success
--delete is lost select customer_id, count(*) from v_sales group by customer_id;
customer_id count(*) C1 4 C2 5
delete sales where customer_id='C1';
reponse success
refresh dirty table;
reponse success
--delete has not been applied desc view callback where(1,'v_sales');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 9 y n n 10 2 17 19 0 0
continue_on_error(207);
reponse success
--#SB no_cache select customer_id, count(*) from v_sales group by customer_id;
customer_id count(*) C1 4 C2 5
--but table is updated desc table callback like(1,'sales');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 5 n n n
save;
reponse success
bounce; refresh dirty view;
reponse success
--delete has been applied select customer_id, count(*) from v_sales group by customer_id;
customer_id count(*) C2 5
--refresh_online
Unlike refresh, refresh_online won't generate downtime
refresh_online dirty view insert into sales values('artA','C1','20191231',5,'ID11','box1');
reponse success
insert into sales values('artA','C1','20191231',5,'ID11','box1');
reponse success
desc table callback like(1,'sales') sort(1,'asc');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 7 n n n
refresh_online dirty view;
reponse success
--a new view is created on top of new data desc view callback like(1,'sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 5 y n n 10 0 15 15 1 1 v_sales_#refresh_online#_00001 3 2 n n n 15 0 12 12 0 0
--select against v_sales will also be executed against the refresh_online view select count(*) from v_sales;
count(*) 7
-- --let's do it again insert into sales values('artA','C1','20191231',5,'ID11','box1');
reponse success
refresh_online dirty view;
reponse success
--now 2 refresh_online views, the first one is now obsolete (check column mp_r_online_count) desc view callback like(1,'sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 5 y n n 10 0 15 15 2 2 v_sales_#refresh_online#_00001 3 2 n n n 15 0 12 12 0 0 v_sales_#refresh_online#_00002 3 3 n n n 15 0 13 13 0 0
select count(*) from v_sales;
count(*) 8
-- --the refresh will recompute the view, and the refresh_online view becomes obsolete refresh dirty view;
reponse success
desc view callback like(1,'sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 8 n n n 10 2 16 18 0 0 v_sales_#refresh_online#_00001 3 2 n n n 15 0 12 12 0 0 v_sales_#refresh_online#_00002 3 3 n n n 15 0 13 13 0 0
select count(*) from v_sales;
count(*) 8
-- -- --a background thread will clean (drop) the obsolete refresh_online view --the clean can also be triggered by a refresh_force refresh_force dirty view;
reponse success
desc view callback like(1,'sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 8 n n n 10 2 16 18 0 0
select count(*) from v_sales;
count(*) 8
--partitions
Size of table is limited to 4G lines, hence need for partition
desc table callback like(1,'sales') sort(1,'asc');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 8 n n n
insert into sales values('artA','C1','20191231',5,'ID11','box1');
reponse success
desc table callback like(1,'sales') sort(1,'asc');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 9 n n n
set partition_line_count=1;
reponse success
desc parameter callback where(1,'PARTITION_LINE_COUNT');
param_name current_value comment is_default default_value PARTITION_LINE_COUNT 1 integer, maximum #line in a table partition (SB will created a new partition during insert if needed), 0 means no partition n 3000000000
--next insert will trigger a new partition insert into sales values('artA','C1','20191231',5,'ID11','box1');
reponse success
desc table callback like(1,'sales') sort(1,'asc');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 9 n n n sales_#partition#_00001 6 1 n n n
refresh dirty view;
reponse success
--and corresponding view desc view callback like(1,'sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 9 n n n 10 2 17 19 0 0 v_sales_#partition#_00001 3 1 n n n 10 0 11 11 0 0
--select against v_sales will also be executed against partition --ACCEPT_DIFF_START --#SB log_verbose explain select count(*) from v_sales;
logs
--#SB explain select count(*) from v_sales callback like(1,'partition');
logs
--ACCEPT_DIFF_END -- bounce; refresh dirty view;
reponse success
save;
reponse success
--refresh_online & partitions
A partition can have its refresh_online views attached
select count(*) from v_sales;
count(*) 5
desc view callback like(1,'sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 5 n n n 10 0 15 15 0 0
-- insert into sales values('artA','C1','20191231',5,'ID11','box1');
reponse success
desc view callback like(1,'sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 5 y n n 10 0 15 15 0 0
--I have a refresh_online view on top of the table refresh_online dirty view;
reponse success
select count(*) from v_sales;
count(*) 6
desc view callback like(1,'sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 5 y n n 10 0 15 15 1 1 v_sales_#refresh_online#_00001 3 1 n n n 15 0 11 11 0 0
-- insert into sales values('artA','C1','20191231',5,'ID11','box1');
reponse success
set PARTITION_LINE_COUNT=1;
reponse success
insert into sales values('artA','C1','20191231',5,'ID11','box1');
reponse success
desc table callback like(1,'sales') sort(1,'asc');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 7 n n n sales_#partition#_00001 6 1 n n n
refresh_online dirty view;
reponse success
--I have a refresh_online view on top of the partition desc view callback like(1,'sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 5 y n n 10 0 15 15 2 2 v_sales_#partition#_00001 3 0 y y y 10 0 0 0 1 1 v_sales_#partition#_00001_#refresh_online#_00001 3 1 n n n 10 0 11 11 0 0 v_sales_#refresh_online#_00001 3 1 n n n 15 0 11 11 0 0 v_sales_#refresh_online#_00002 3 2 n n n 15 0 12 12 0 0
select count(*) from v_sales;
count(*) 8
--ACCEPT_DIFF_START --#SB no_cache explain select count(*) from v_sales callback like(1,'running select');
logs
--ACCEPT_DIFF_END -- refresh dirty view;
reponse success
select count(*) from v_sales;
count(*) 8
desc view callback like(1,'sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 7 n n n 10 2 15 17 0 0 v_sales_#partition#_00001 3 1 n n n 10 0 11 11 0 0 v_sales_#partition#_00001_#refresh_online#_00001 3 1 n n n 10 0 11 11 0 0 v_sales_#refresh_online#_00001 3 1 n n n 15 0 11 11 0 0 v_sales_#refresh_online#_00002 3 2 n n n 15 0 12 12 0 0
-- refresh_force dirty view;
reponse success
select count(*) from v_sales;
count(*) 8
desc view callback like(1,'sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 7 n n n 10 2 15 17 0 0 v_sales_#partition#_00001 3 1 n n n 10 0 11 11 0 0
--refresh advanced
Applies deletes + updates + data model changes on tables and views)
refresh dirty tableRecompute view but not max_perf
refresh view view_name Recompute permissions if changes and drop cache
refresh permissionRecompute computed columns if changes and create a new version of stormbase.so under _SO_LINUX
refresh computed_columnDrop cache
refresh cache Does all above and recomputes max_perf and re execute init file
refresh dirty view --under construction --deletes & refresh_online
Some big tables have a "delete before insert" logic along with refresh_online needs
In previous version of Stormbase such tables were defined as big_online, now all big tables support this functionality
Big_online keyword is kept for backward compatibility
--I run a refresh_force to clean the old child view (not needed in client/server mode) --delete sales where regex(item_id,'.*'); refresh_force dirty view;
reponse success
-- set partition_line_count=100; select list(line_id) from v_sales;
list(line_id) ID02,ID04,ID07,ID07_,ID11
desc table callback like(1,'sales') sort(1,'asc');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 7 n n n sales_#partition#_00001 6 1 n n n
desc view callback like(1,'v_sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 7 n n n 10 2 15 17 0 0 v_sales_#partition#_00001 3 1 n n n 10 0 11 11 0 0
--partial delete on big table not allowed by refresh_online insert into sales values('artA','C1','20191231',5,'ID12','box1')('artA','C1','20191231',5,'ID13','box1');
reponse success
delete sales where line_id='ID12';
reponse success
continue_on_error(141);
reponse success
refresh_online dirty view;
reponse error 141 (continue): "refresh_online dirty views" is not allowed
stop_on_error;
reponse success
refresh_force dirty view;
reponse success
select list(line_id) from v_sales;
list(line_id) ID02,ID04,ID07,ID07_,ID11,ID13
desc view callback like(1,'v_sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 7 n n n 10 2 15 17 0 0 v_sales_#partition#_00001 3 1 n n n 10 0 11 11 0 0 v_sales_#partition#_00002 3 1 n n n 10 0 11 11 0 0
--full delete on big table is allowed by refresh_online delete sales where regex(item_id,'.*');
reponse success
insert into sales values('artA','C1','20191231',5,'ID14','box1');
reponse success
--refresh_online is accepted refresh_online dirty view;
reponse success
select list(line_id) from v_sales;
list(line_id) ID14
desc table callback like(1,'sales') sort(1,'asc');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 0 n n y sales_#partition#_00001 6 0 n n y sales_#partition#_00002 6 1 n n y
desc view callback like(1,'v_sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 7 y n n 10 2 15 17 1 0 v_sales_#partition#_00001 3 1 y n n 10 0 11 11 1 0 v_sales_#partition#_00001_#refresh_online#_00001 3 0 n n n 10 0 10 10 0 0 v_sales_#partition#_00002 3 1 y n n 10 0 11 11 1 1 v_sales_#partition#_00002_#refresh_online#_00001 3 1 n n n 10 0 11 11 0 0 v_sales_#refresh_online#_00001 3 0 n n n 10 0 10 10 0 0
--redo delete sales where regex(item_id,'.*');
reponse success
insert into sales values('artA','C1','20191231',5,'ID15','box1')('artA','C1','20191231',5,'ID16','box1');
reponse success
refresh_online dirty view;
reponse success
select list(line_id) from v_sales;
list(line_id) ID15,ID16
--the main view is flagged as with hide_parent_view --so the select will not see this view desc table callback like(1,'sales') sort(1,'asc');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 0 n n y sales_#partition#_00001 6 0 n n y sales_#partition#_00002 6 2 n n y
desc view callback like(1,'v_sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 7 y n n 10 2 15 17 2 0 v_sales_#partition#_00001 3 1 y n n 10 0 11 11 2 0 v_sales_#partition#_00001_#refresh_online#_00001 3 0 n n n 10 0 10 10 0 0 v_sales_#partition#_00001_#refresh_online#_00002 3 0 n n n 10 0 10 10 0 0 v_sales_#partition#_00002 3 1 y n n 10 0 11 11 2 2 v_sales_#partition#_00002_#refresh_online#_00001 3 1 n n n 10 0 11 11 0 0 v_sales_#partition#_00002_#refresh_online#_00002 3 2 n n n 10 0 12 12 0 0 v_sales_#refresh_online#_00001 3 0 n n n 10 0 10 10 0 0 v_sales_#refresh_online#_00002 3 0 n n n 10 0 10 10 0 0
--after bounce, data is still here save;
reponse success
bounce; desc table callback like(1,'sales') sort(1,'asc');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 0 n n y sales_#partition#_00001 6 0 n n y sales_#partition#_00002 6 2 n n y
desc view callback like(1,'v_sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 7 y n n 10 2 15 17 2 0 v_sales_#partition#_00001 3 1 y n n 10 0 11 11 2 0 v_sales_#partition#_00001_#refresh_online#_00001 3 0 n n n 10 0 10 10 0 0 v_sales_#partition#_00001_#refresh_online#_00002 3 0 n n n 10 0 10 10 0 0 v_sales_#partition#_00002 3 1 y n n 10 0 11 11 2 2 v_sales_#partition#_00002_#refresh_online#_00001 3 1 n n n 10 0 11 11 0 0 v_sales_#partition#_00002_#refresh_online#_00002 3 2 n n n 10 0 12 12 0 0 v_sales_#refresh_online#_00001 3 0 n n n 10 0 10 10 0 0 v_sales_#refresh_online#_00002 3 0 n n n 10 0 10 10 0 0
select list(line_id) from v_sales;
list(line_id) ID15,ID16
--after clear_max_perf the non dirty views are rebuilt save;
reponse success
system './clear_max_perf.sh sure';
reponse sure mode, no confirmation prompt clearing directory ../STORAGE/MAX_PERF... done
bounce; desc table callback like(1,'sales') sort(1,'asc');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 0 n n y sales_#partition#_00001 6 0 n n y sales_#partition#_00002 6 2 n n y
desc view callback like(1,'v_sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 7 y y y 10 0 0 0 2 0 v_sales_#partition#_00001 3 1 y y y 10 0 0 0 2 0 v_sales_#partition#_00001_#refresh_online#_00001 3 0 n n n 10 0 10 10 0 0 v_sales_#partition#_00001_#refresh_online#_00002 3 0 n n n 10 0 10 10 0 0 v_sales_#partition#_00002 3 1 y y y 10 0 0 0 2 2 v_sales_#partition#_00002_#refresh_online#_00001 3 1 n n n 10 0 11 11 0 0 v_sales_#partition#_00002_#refresh_online#_00002 3 2 n n n 10 0 12 12 0 0 v_sales_#refresh_online#_00001 3 0 n n n 10 0 10 10 0 0 v_sales_#refresh_online#_00002 3 0 n n n 10 0 10 10 0 0
select list(line_id) from v_sales;
list(line_id) ID15,ID16
--refresh dirty view cleans everything refresh_force dirty view;
reponse success
desc table callback like(1,'sales') sort(1,'asc');
table_name column_count line_count has_delete has_update parent_view_hidden sales 6 0 n n n sales_#partition#_00001 6 0 n n n sales_#partition#_00002 6 2 n n n
desc view callback like(1,'v_sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 0 n n n 10 0 10 10 2 0 v_sales_#partition#_00001 3 0 n n n 10 0 10 10 2 0 v_sales_#partition#_00001_#refresh_online#_00001 3 0 y n n 10 0 10 10 0 0 v_sales_#partition#_00001_#refresh_online#_00002 3 0 y n n 10 0 10 10 0 0 v_sales_#partition#_00002 3 2 n n n 10 0 12 12 0 0 v_sales_#refresh_online#_00001 3 0 y n n 10 0 10 10 0 0 v_sales_#refresh_online#_00002 3 0 y n n 10 0 10 10 0 0
select list(line_id) from v_sales;
list(line_id) ID15,ID16
-- ########################### -- RUNNING save.sql save;
reponse success
-- ########################### -- RUNNING shutdown.sql shutdown; -- ########################### -- RUNNING stop_on_error.sql stop_on_error;
reponse success
-- ########################### -- RUNNING clear.sh
/*
sure mode, no confirmation prompt
clearing directory INTERNAL_FILES_DIR (../STORAGE/INT) ...
done
clearing directory MAX_PERF_FILES_DIR (../STORAGE/MAX_PERF) ...
done
clearing directory TRANSAC_FILES_DIR (../STORAGE/TRANSAC) ...
done
*/
-- ########################### -- RUNNING doc_data_init.sql create col_type t_site_id as text;
reponse success
create col_type t_dept_id as text;
reponse success
create col_type t_item_id as text;
reponse success
create col_type t_customer_id as text;
reponse success
create col_type t_date as text;
reponse success
create col_type t_customer_info as text;
reponse success
create col_type end_user as text;
reponse success
create merge table items( item_id t_item_id, art_label text, dept t_dept_id, avg_week_sales number, sales_price number);
reponse success
create merge table customers( customer_id t_customer_id, customer_name text);
reponse success
create table item_tags( item_id t_item_id, tag text);
reponse success
create table fidelity_cards( customer_id t_customer_id, card_label t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create table item_customer_infos( customer_id t_customer_id, item_id t_item_id, info t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create big table sales( item_id t_item_id, customer_id t_customer_id, sales_date t_date, sales_qty number, line_id text, packaging_id t_item_id);
reponse success
create big table inventory( item_id t_item_id, inv_qty number);
reponse success
create view v_items as select * from items;
reponse success
create view v_item_tags as select * from item_tags;
reponse success
create view v_fidelity_cards as select * from fidelity_cards;
reponse success
create view v_item_customer_infos as select * from item_customer_infos;
reponse success
create view v_sales as select * from sales, items, customers where items.item_id=sales.item_id and customers.customer_id=sales.customer_id;
reponse success
create view v_inventory as select * from inventory, items where items.item_id=inventory.item_id;
reponse success
insert into items values('artA','the article A','dept #1',10,1.5);
reponse success
insert into items values('artB','the article B','dept #2',10,3.2);
reponse success
insert into items values('box1','a box','packaging',10,0);
reponse success
insert into customers values('C1','customer #1')('C2','customer #2');
reponse success
insert into item_tags values('artA','tag #1');
reponse success
insert into item_tags values('artA','tag #2');
reponse success
insert into fidelity_cards values('C1','SILVER','20191201','20191231');
reponse success
insert into fidelity_cards values('C1','GOLD','20201201','20201231');
reponse success
insert into item_customer_infos values('C1','artA','FREQUENT BUYER of artA in 2019','20190101','20191231');
reponse success
insert into item_customer_infos values('C1','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into item_customer_infos values('C2','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into sales values('artA','C1','20191231',5,'ID01','box1');
reponse success
insert into sales values('artB','C2','20200102',6,'ID02','');
reponse success
insert into sales values('artB','C1','20191231',4,'ID03','');
reponse success
insert into sales values('artB','C2','20200102',7,'ID04','box1');
reponse success
insert into sales values('artC','C1','20200102',8,'ID05','');
reponse success
insert into sales values('artA','C1','20191231',5,'ID06','box1');
reponse success
insert into sales values('artA','C2','20191231',5,'ID07','box1');
reponse success
insert into inventory values('artA',32);
reponse success
insert into inventory values('artC',12);
reponse success
refresh dirty view;
reponse success
-- ########################### -- RUNNING doc_basics.sql --Basics
--flat select
select <*|table1.*|col1|table1#col1>, ... from ... desc view;
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_items 1 3 n n n 10 0 13 13 0 0 v_item_tags 1 2 n n n 10 0 12 12 0 0 v_fidelity_cards 1 2 n n n 10 0 12 12 0 0 v_item_customer_infos 1 3 n n n 10 0 13 13 0 0 v_sales 3 7 n n n 10 2 15 17 0 0 v_inventory 2 2 n n n 10 0 12 12 0 0
select * from v_items;
item_id art_label dept avg_week_sales sales_price artA the article A dept #1 10 1.500 artB the article B dept #2 10 3.200 box1 a box packaging 10 0
select * from v_item_tags;
item_id tag artA tag #1 artA tag #2
select * from v_sales;
item_id customer_id sales_date sales_qty line_id packaging_id item_id art_label dept avg_week_sales sales_price customer_id customer_name artA C1 20191231 5 ID01 box1 artA the article A dept #1 10 1.500 C1 customer #1 artB C2 20200102 6 ID02 # artB the article B dept #2 10 3.200 C2 customer #2 artB C1 20191231 4 ID03 # artB the article B dept #2 10 3.200 C1 customer #1 artB C2 20200102 7 ID04 box1 artB the article B dept #2 10 3.200 C2 customer #2 artA C1 20191231 5 ID06 box1 artA the article A dept #1 10 1.500 C1 customer #1 # C1 20200102 8 ID05 # # # # 0 0 C1 customer #1 artA C2 20191231 5 ID07 box1 artA the article A dept #1 10 1.500 C2 customer #2
select sales.* from v_sales;
item_id customer_id sales_date sales_qty line_id packaging_id artA C1 20191231 5 ID01 box1 artB C2 20200102 6 ID02 # artB C1 20191231 4 ID03 # artB C2 20200102 7 ID04 box1 artA C1 20191231 5 ID06 box1 # C1 20200102 8 ID05 # artA C2 20191231 5 ID07 box1
--group by select
select col1, col2, ... from ... group by col1, col2, ... group by clause can be ommited select item_id, count(*) from v_items group by item_id;
item_id count(*) artA 1 artB 1 box1 1
select item_id, count(*) from v_item_tags group by item_id;
item_id count(*) artA 2
select customer_id, dept, avg_week_sales, count(*) from v_sales group by customer_id, dept, avg_week_sales;
customer_id dept avg_week_sales count(*) C1 dept #1 10 2 C2 dept #2 10 2 C1 dept #2 10 1 C1 # # 1 C2 dept #1 10 1
--group by can be ommited if group by is on text columns select customer_id, dept, count(*) from v_sales;
customer_id dept count(*) C1 dept #1 2 C2 dept #2 2 C1 dept #2 1 C1 # 1 C2 dept #1 1
--callback basics
Ths callback allows to run functions on the resultset
select .. from .. <callback|cb> callback_function1 callback_function2 ...cb is a shortcut for callback
most common callbacks are sort and limit
more info are provided in "callback Lua functions" section
select customer_id, count(*) from v_sales group by customer_id callback sort(2,'desc');
customer_id count(*) C1 4 C2 3
select customer_id, count(*) from v_sales group by customer_id callback sort(2,'asc') limit(1);
customer_id count(*) C2 3
select customer_id, count(*) from v_sales group by customer_id cb sort(2,'asc') limit(1);
customer_id count(*) C2 3
select customer_id, count(*)as nb_sales from v_sales group by customer_id cb sort('nb_sales','asc') limit(1);
customer_id nb_sales C2 3
--common aggregation operators
<sum|count|countdistinct|min|max|avg> --sum (number columns only) select customer_id, sum(sales_qty), sum(avg_week_sales) from v_sales group by customer_id;
customer_id sum(sales_qty) sum(avg_week_sales) C1 22 30 C2 18 30
--count select customer_id, count(item_id), count(sales_qty), count(avg_week_sales) from v_sales group by customer_id;
customer_id count(item_id) count(sales_qty) count(avg_week_sales) C1 3 4 3 C2 3 3 3
--countdistinct select customer_id, countdistinct(item_id), countdistinct(sales_qty), countdistinct(avg_week_sales) from v_sales group by customer_id;
customer_id countdistinct(item_id) countdistinct(sales_qty) countdistinct(avg_week_sales) C1 2 3 1 C2 2 3 1
--min select customer_id, min(item_id), min(sales_qty), min(avg_week_sales) from v_sales group by customer_id;
customer_id min(item_id) min(sales_qty) min(avg_week_sales) C1 artA 4 10 C2 artA 5 10
--max select customer_id, max(item_id), max(sales_qty), max(avg_week_sales) from v_sales group by customer_id;
customer_id max(item_id) max(sales_qty) max(avg_week_sales) C1 artB 8 10 C2 artB 7 10
--avg (number columns only) select customer_id, avg(sales_qty), avg(avg_week_sales) from v_sales group by customer_id;
customer_id avg(sales_qty) avg(avg_week_sales) C1 5.500 10 C2 6 10
--other aggregation operators
<unique|countsequence|minstr|maxstr|list|ival|ivallist|ivalbin|p>Note: uniquesoft can be used instead of unique for backward compatibility, behavior is the same
select customer_id, unique(line_id), unique(item_id), unique(customer_id) from v_sales group by customer_id;
customer_id unique(line_id) unique(item_id) unique(customer_id) C1 ID05 # C1 C2 ID07 # C2
select customer_id, countsequence(item_id) from v_sales group by customer_id;
customer_id countsequence(item_id) C1 3 C2 2
select customer_id, minstr(item_id) from v_sales group by customer_id;
customer_id minstr(item_id) C1 artA C2 artA
select customer_id, maxstr(item_id) from v_sales group by customer_id;
customer_id maxstr(item_id) C1 artB C2 artB
select customer_id, list(item_id) from v_sales group by customer_id;
customer_id list(item_id) C1 artA,artB C2 artA,artB
select customer_id, ival(item_id), ival(customer_id) from v_sales group by customer_id;
customer_id ival(item_id) ival(customer_id) C1 # 11 C2 # 12
select customer_id, ivallist(item_id), ivallist(customer_id) from v_sales group by customer_id;
customer_id ivallist(item_id) ivallist(customer_id) C1 11/12 11 C2 11/12 12
select customer_id, ivalbin(item_id), ivalbin(customer_id) from v_sales group by customer_id;
customer_id ivalbin(item_id) ivalbin(customer_id) C1 6144 2048 C2 6144 4096
select customer_id, p(item_id), p(customer_id) from v_sales group by customer_id;
customer_id
orphans management and dimension priority
Column item_id in view v_sales can come from table sales or table items
For artA and artB we don't care
For artC we do care because artC is a orhan record (*)
By default SB will look for item_id in non empty (**) dimension tables (***), then in the fact table
But you can tell SB which one you want using table#col syntax
(*) exists in fact table but not in dimension table
(**) an empty dimension is skipped
(***) dimension1 is the second table of from clause of the view create statement etc...,
--> !!! the order of dimensions in the from clause of the view create statement is important
select item_id,sales#item_id,items#item_id from v_sales;
item_id sales#item_id items#item_id artA artA artA artB artB artB artB artB artB artB artB artB artA artA artA # artC # artA artA artA
select count(*) from v_sales and item_id='artC';
count(*)
select count(*) from v_sales and items#item_id='artC';
count(*)
select count(*) from v_sales and sales#item_id='artC';
count(*) 1
escape quote
'' insert into item_tags values('artD','A''__B');
reponse success
refresh dirty view;
reponse success
select * from v_item_tags where item_id='artD';
item_id tag artD A'__B
select * from v_item_tags where tag='A''__B';
item_id tag artD A'__B
Stormbase & Lua
Lua is a progamming langage. Stormbase is not developped in Lua, it is developped in native C. But in some cases (callbacks and where clause, see here under) Stormbase calls Lua code. Standard Lua code (provided in Stormbase installer) is located in _FUNCTIONS/stormbase.lua. Custom Lua code can also be added in _FUNCTIONS/custom.lua.utility Lua functions
--utility functions list desc function callback where(2,'utility');
function_name function_type signature comment ratio utility ratio( value1, value2) returns value1/value2 or 0 in limit cases (division by zero, nil value) round utility round( v , n_digits ) returns math.floor(v+0.5), with n_digits precision, n_digits defaults to 0 decode utility decode( x , y , a , b ) returns a in x equals y , b otherwise least utility least( x , y ) checks that x and y are numbers and returns least greatest utility greatest( x , y ) checks that x and y are numbers and returns greatest ceil utility ceil( x ) checks that x is number and calls math.ceil floor utility floor( x ) checks that x is number and calls math.floor check utility check( cond ) boolean function instr utility instr( str1 , str2 ) calls string.find(str1, str2), returns -1 if not found length utility length( tbl ) return numbers of key of a key/value table merge utility merge( tbl1, tbl2 ) sums the values of 2 key/value tables stringify utility stringify( tbl ) stringify a key/value table join utility join(idx_values, arr_fields, _sep, _type, fn) joins an array _sep, _type and fn are optional concat utility concat( a , b, c, d, e, f ) returns a .. nvl(b,"") .. nvl(c,"") .. nvl(d,"") .. nvl(e,"") .. nvl(f,"") nvl utility nvl( a , b ) returns b if a==nil
callback Lua functions
--callback functions list desc function callback where(2,'callback');
function_name function_type signature comment add_number callback add_number( name, str_fn ) adds a number column to resultset add_text callback add_text( name, str_fn ) adds a text column to resultset select_from callback select_from( 'group(<column_pos/column_name>) <sum/count/avg/min/max>(<column_pos/column_name>)' ) does a select ... from (the_resultset) sub_select callback sub_select( 'group(<column_pos/column_name>) <sum/count/avg/min/max>(<column_pos/column_name>)' ) adds a sub select column where callback where( <column_pos/column_name> , 'value' ) does an "equal where clause" on the resultset like callback like( <column_pos/column_name> , 'value1!value2' ) does a "like where clause" on the resultset grep callback grep( 'value1!value2' ) does a "like where clause" on the resultset limit callback limit( rownum ) limits the resultset to rownum lines sort callback sort( <column_pos1/column_name1> , <'asc'/'desc'> , <column_pos2/column_name2> , ... ) sorts the resultset export callback export( path/to/file , header_yn ) open_join callback open_join( 'with1,with2..' , 'join_col1,join_col2..' , 'new_with_name') do an open join on withs rename callback rename( 'col_name' , 'new_col_name' ) rename a column keep_columns callback keep_columns( 'col1,col2...' ) keeps column list
select item_id,customer_id,sum(sales_qty) from v_sales group by item_id,customer_id callback sort(3,'asc');
item_id customer_id sum(sales_qty) artB C1 4 artA C2 5 # C1 8 artA C1 10 artB C2 13
select item_id,sum(sales_qty) from v_sales group by item_id callback sort(2,'asc');
item_id sum(sales_qty) # 8 artA 15 artB 17
select customer_id,sum(sales_qty) from v_sales group by customer_id callback sort(2,'asc');
customer_id sum(sales_qty) C2 18 C1 22
select item_id,customer_id,sales_qty from v_sales callback select_from('group(1) group(2) sum(3)') sort(3,'asc');
group_item_id group_customer_id sum_sales_qty artB C1 4 artA C2 5 # C1 8 artA C1 10 artB C2 13
select item_id,customer_id,sales_qty from v_sales callback select_from('group(1) sum(3)') sort(2,'asc');
group_item_id sum_sales_qty # 8 artA 15 artB 17
select item_id,customer_id,sales_qty from v_sales callback select_from('group(2) sum(3)') sort(2,'asc');
group_customer_id sum_sales_qty C2 18 C1 22
select item_id,customer_id,sales_qty from v_sales callback sub_select('group(1) group(2) sum(3)');
item_id customer_id sales_qty group_item_id group_customer_id sum_sales_qty artA C1 5 artA C1 10 artB C2 6 artB C2 13 artB C1 4 artB C1 4 artB C2 7 artB C2 13 artA C1 5 artA C1 10 # C1 8 # C1 8 artA C2 5 artA C2 5
select item_id,customer_id,sales_qty from v_sales callback sub_select('group(2) sum(3)');
item_id customer_id sales_qty group_customer_id sum_sales_qty artA C1 5 C1 22 artB C2 6 C2 18 artB C1 4 C1 22 artB C2 7 C2 18 artA C1 5 C1 22 # C1 8 C1 22 artA C2 5 C2 18
select sales_date, dept, sum(sales_qty) from v_sales;
sales_date dept sum(sales_qty) 20191231 dept #1 15 20200102 dept #2 13 20191231 dept #2 4 20200102 # 8
select dept, sum(sales_qty) from v_sales;
dept sum(sales_qty) dept #1 15 dept #2 17 # 8
select sum(sales_qty) from v_sales;
sum(sales_qty) 40
with a as(select sales_date, dept, sum(sales_qty) as sales_qty from v_sales), b as(select dept, sum(sales_qty) as dept_sales_qty from v_sales), c as(select sum(sales_qty) as tot_sales_qty from v_sales), select from no_view, * function fn_nothing cb open_join('a,b','dept','a_b') open_join('a_b,c') add_number('dept_share','return round(line.sales_qty/line.dept_sales_qty*100,3)') add_number('total_share','return line.sales_qty/line.tot_sales_qty*100') keep_columns('sales_date,dept,sales_qty,dept_sales_qty,dept_share,total_share') ;
sales_date dept sales_qty dept_sales_qty dept_share total_share 20200102 # 8 8 100 20 20200102 dept #2 13 17 76.471 32.500 20191231 dept #2 4 17 23.529 10 20191231 dept #1 15 15 100 37.500
data model modification #1
... create big table sales( item_id t_item_id, customer_id t_customer_id, sales_date text, sales_qty number, line_id text, packaging_id t_item_id, sales_qty2 number);
reponse success
--commit changes refresh dirty view;
reponse success
select sales.* from v_sales;
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 artA C1 20191231 5 ID01 box1 0 artB C2 20200102 6 ID02 # 0 artB C1 20191231 4 ID03 # 0 artB C2 20200102 7 ID04 box1 0 artA C1 20191231 5 ID06 box1 0 # C1 20200102 8 ID05 # 0 artA C2 20191231 5 ID07 box1 0
insert into sales values('artA','C2','20191231',5,'ID09','',55);
reponse success
refresh dirty view;
reponse success
select sales.* from v_sales;
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 artB C2 20200102 6 ID02 # 0 artB C1 20191231 4 ID03 # 0 artB C2 20200102 7 ID04 box1 0 artA C1 20191231 5 ID06 box1 0 artA C2 20191231 5 ID07 box1 0 artA C1 20191231 5 ID01 box1 0 # C1 20200102 8 ID05 # 0 artA C2 20191231 5 ID09 # 55
data model modification #2
Since v1.17.08 SB is a lot more flexible
create col_type t_a as text;
reponse success
create col_type t_c as text;
reponse success
create merge table dim_a (a t_a, aa text);
reponse success
create big table foo (a t_a, b number, c text);
reponse success
create view v_foo as select * from foo, dim_a where foo.a=dim_a.a;
reponse success
refresh dirty view;
reponse success
insert into foo values('a1',1,'c1');
reponse success
insert into foo values('a2',2,'c2');
reponse success
insert into dim_a values('a1','aa1')('a2','aa2')('a3','aa3');
reponse success
refresh dirty view;
reponse success
select * from v_foo;
a b c a aa a1 1 c1 a1 aa1 a2 2 c2 a2 aa2
--col_type change --> forbidden continue_on_error(121);
reponse success
create big table foo (a t_a, b number, c t_c);
reponse error 121 (continue): changing column type during table alter is not allowed
--col position change and/or add column --> ok create big table foo (c text, a t_a, b number, d text);
reponse success
desc table cb grep('foo');
table_name column_count line_count has_delete has_update parent_view_hidden foo 3 2 n n n __NEW_foo__ 4 0 n n n
desc view cb grep('foo');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_foo 2 2 y n n 10 0 12 12 0 0
--view must be recreated because joined columns position have changed, hence the error here under continue_on_error(43);
reponse success
refresh dirty view;
reponse error 43 (continue): joined columns must have same column type
desc view cb grep('foo');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_foo 2 2 y n n 10 0 12 12 0 0
continue_on_error(1);
reponse success
create view v_foo as select * from foo, dim_a where foo.a=dim_a.a;
reponse success
refresh dirty view;
reponse success
desc table cb grep('foo');
table_name column_count line_count has_delete has_update parent_view_hidden foo 4 2 n n n
desc view cb grep('foo');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_foo 2 2 n n n 10 0 12 12 0 0
select * from v_foo;
c a b d a aa c1 a1 1 NO_DATA a1 aa1 c2 a2 2 NO_DATA a2 aa2
insert into foo values('c3','a3',3,'d3');
reponse success
insert into foo values('c4','a4',4,'d4');
reponse success
refresh dirty view;
reponse success
select * from v_foo;
c a b d a aa c1 a1 1 NO_DATA a1 aa1 c2 a2 2 NO_DATA a2 aa2 c3 a3 3 d3 a3 aa3 c4 # 4 d4 # #
create big table foo (c text, d text, b number);
reponse success
create view v_foo as select * from foo;
reponse success
refresh dirty view;
reponse success
select * from v_foo;
c d b c1 NO_DATA 1 c2 NO_DATA 2 c3 d3 3 c4 d4 4
--where clause basics
select .. from ... <where|and> where_clause1 and where_clause2 and where_clause3 ..Where clause syntax
column_name='value' column_name in ('value1', 'value2', ...) column_name nin ('value1', 'value2', ...) column_name like 'value' select * from v_sales and dept='dept #1';
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 item_id art_label dept avg_week_sales sales_price customer_id customer_name artA C1 20191231 5 ID06 box1 0 artA the article A dept #1 10 1.500 C1 customer #1 artA C2 20191231 5 ID07 box1 0 artA the article A dept #1 10 1.500 C2 customer #2 artA C1 20191231 5 ID01 box1 0 artA the article A dept #1 10 1.500 C1 customer #1 artA C2 20191231 5 ID09 # 55 artA the article A dept #1 10 1.500 C2 customer #2
--SB allows you to use "and" instead of where, bacause it is easier select * from v_sales and dept='dept #1';
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 item_id art_label dept avg_week_sales sales_price customer_id customer_name artA C1 20191231 5 ID06 box1 0 artA the article A dept #1 10 1.500 C1 customer #1 artA C2 20191231 5 ID07 box1 0 artA the article A dept #1 10 1.500 C2 customer #2 artA C1 20191231 5 ID01 box1 0 artA the article A dept #1 10 1.500 C1 customer #1 artA C2 20191231 5 ID09 # 55 artA the article A dept #1 10 1.500 C2 customer #2
select * from v_sales and dept in ('dept #1');
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 item_id art_label dept avg_week_sales sales_price customer_id customer_name artA C1 20191231 5 ID06 box1 0 artA the article A dept #1 10 1.500 C1 customer #1 artA C2 20191231 5 ID07 box1 0 artA the article A dept #1 10 1.500 C2 customer #2 artA C1 20191231 5 ID01 box1 0 artA the article A dept #1 10 1.500 C1 customer #1 artA C2 20191231 5 ID09 # 55 artA the article A dept #1 10 1.500 C2 customer #2
select * from v_sales and dept nin ('dept #2');
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 item_id art_label dept avg_week_sales sales_price customer_id customer_name artA C1 20191231 5 ID06 box1 0 artA the article A dept #1 10 1.500 C1 customer #1 artA C2 20191231 5 ID07 box1 0 artA the article A dept #1 10 1.500 C2 customer #2 artA C1 20191231 5 ID01 box1 0 artA the article A dept #1 10 1.500 C1 customer #1 # C1 20200102 8 ID05 # 0 # # # 0 0 C1 customer #1 artA C2 20191231 5 ID09 # 55 artA the article A dept #1 10 1.500 C2 customer #2
--like is not case sensitive select * from v_sales and dept like 'DePt #1';
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 item_id art_label dept avg_week_sales sales_price customer_id customer_name artA C1 20191231 5 ID06 box1 0 artA the article A dept #1 10 1.500 C1 customer #1 artA C2 20191231 5 ID07 box1 0 artA the article A dept #1 10 1.500 C2 customer #2 artA C1 20191231 5 ID01 box1 0 artA the article A dept #1 10 1.500 C1 customer #1 artA C2 20191231 5 ID09 # 55 artA the article A dept #1 10 1.500 C2 customer #2
--where clause / Lua boolean function
any Lua boolean function can be used in a where clause using one and only one column --boolean functions list desc function callback where(2,'boolean');
function_name function_type signature comment regex boolean regex( str , pattern ) returns true is if string.match( str , pattern ) (upperbase comparaison) more info http://www.lua.org/manual/5.2/manual.html#6.4.1 is_not boolean is_not( boolean_value ) returns not boolean_value regex_or boolean function regex_or( str , pattern, pattern2, ...) returns regex( str , pattern ) or regex( str , pattern2 ) ... btw boolean btw( x , y , z ) returns true if y < x and x <=z then (number comparaison) btwe boolean btwe( x , y , z ) returns true if y <= x and x <= z then (number comparaison) btwe_s boolean btwe_s( x , y , z ) returns true if y <= x and x <= z then (string comparaison) nbtwe boolean nbtwe( x , y , z ) not between or equal, returns false if y <= x and x <= z btwe_or boolean function btwe_or( x , y , z , y2 , z2 ... ) returns btwe( x , y , z ) or btwe( x , y2 , z2 ) nbtwe_and boolean function nbtwe_and( x , y , z , y2 , z2 ... ) returns nbtwe( x , y , z ) and nbtwe( x , y2 , z2 ) gt boolean gt( x , y ) greater than, returns true is x > y (number comparaison) gte boolean gte_( x , y ) greater than or equal, returns true is x >= y (number comparaison) lt boolean lt( x , y ) lower than, returns true is x < y (number comparaison) lte boolean lte( x , y ) lower than or equal, returns true is x <= y (number comparaison) gt_s boolean gt_s( x , y ) greater than, returns true is x > y (string comparaison) gte_s boolean gte_s( x , y ) greater than or equal, returns true is x >= y (string comparaison) lt_s boolean lt_s( x , y ) lower than, returns true is x < y (string comparaison) lte_s boolean lte_s( x , y ) lower than or equal, returns true is x <= y (string comparaison) e boolean e( x , y ) equal, returns true is x==y ne boolean ne( x , y ) not equal, returns true is x!=y isin boolean isin( x , { val1, val2, .. } ) is in isnin boolean isnin( x , { val1, val2, .. } ) is not in mod boolean mod( x , y , z ) (x % y) == z
--(not)exists basics
select .. from view1and view2.col='something' Exists
and view2!.col='something' Not exists
The exists join between view1 and view2 is implicit (the first col_type in common will be used for join)
Use case: when view2 is based on a non merge table, which why it can't be included in view1
-- -- --exists select sales.* from v_sales where v_item_tags.tag='tag #1';
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 artA C1 20191231 5 ID06 box1 0 artA C2 20191231 5 ID07 box1 0 artA C1 20191231 5 ID01 box1 0 artA C2 20191231 5 ID09 # 55
--not exists select sales.* from v_sales where v_item_tags!.tag='tag #1';
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 artB C2 20200102 6 ID02 # 0 artB C1 20191231 4 ID03 # 0 artB C2 20200102 7 ID04 box1 0 # C1 20200102 8 ID05 # 0
col_type_checks basics
A col_type_check is a "select col, count(col) from .. where ... group by col"
It is used to filter other part of the sql
The filter will be applied on the first column that has same col_type as the col_type_check
If you alias your group by column in the with clause, the filter with apply in priority to a column with this name (if it exists)
with with_name1 ( col_type_check1 ), with_name2 ( col_type_check2 ), ... select .. from view1, with_name1, with_name2! .. select item_id, dept from v_items cb sort(1,'asc');
item_id dept artA dept #1 artB dept #2 box1 packaging
--sales in dept #1 with a as(select item_id, count(item_id) from v_items where dept='dept #1' group by item_id) select sales.* from v_sales, a ;
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 artA C1 20191231 5 ID06 box1 0 artA C2 20191231 5 ID07 box1 0 artA C1 20191231 5 ID01 box1 0 artA C2 20191231 5 ID09 # 55
--sales not in dept #1 with a as(select item_id, count(item_id) from v_items where dept='dept #1' group by item_id) select sales.* from v_sales, a! ;
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 artB C2 20200102 6 ID02 # 0 artB C1 20191231 4 ID03 # 0 artB C2 20200102 7 ID04 box1 0 # C1 20200102 8 ID05 # 0
--using alias --if the alias can't be found, the "first column with same col_type" rule applies with a as(select item_id as columm_that_does_not_exists, count(item_id) from v_items where dept='dept #1' group by item_id) select sales.* from v_sales, a ;
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 artA C1 20191231 5 ID06 box1 0 artA C2 20191231 5 ID07 box1 0 artA C1 20191231 5 ID01 box1 0 artA C2 20191231 5 ID09 # 55
--no packaging in dept #1 with a as(select item_id as packaging_id, count(item_id) from v_items where dept='dept #1' group by item_id) select sales.* from v_sales, a ;
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2
--sales of items having packaging in dept packaging with a as(select item_id as packaging_id, count(item_id) from v_items where dept='packaging' group by item_id) select sales.* from v_sales, a ;
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 artB C2 20200102 7 ID04 box1 0 artA C1 20191231 5 ID06 box1 0 artA C2 20191231 5 ID07 box1 0 artA C1 20191231 5 ID01 box1 0
col_type_checks advanced
Col_type_checks can be combined to do intersection etc...
It is used to filter other part of the sql
with with_name1 ( col_type_check1 ), with_name2 ( select col, count(col) from view2, with_name1 where ... group by col ), ... select .. from view3, with_name2 select item_id, dept, customer_id, sales_qty from v_sales;
item_id dept customer_id sales_qty artB dept #2 C2 6 artB dept #2 C1 4 artB dept #2 C2 7 artA dept #1 C1 5 artA dept #1 C2 5 artA dept #1 C1 5 # # C1 8 artA dept #1 C2 5
select * from v_item_tags;
item_id tag artA tag #1 artA tag #2 artD A'__B
--in which other departments do customers that buy from dept #1, buy from --the group of customers is "customers that buy from dept #1" with group_of_customers as(select customer_id, count(customer_id) from v_sales and dept='dept #1' group by customer_id) select dept,count(*),list(customer_id) from v_sales, group_of_customers and dept nin ('dept #1',null) group by dept ;
dept count(*) list(customer_id) dept #2 3 C1,C2
select customer_id, count(customer_id) from v_sales and dept='dept #1' group by customer_id ;
customer_id count(customer_id) C1 2 C2 2
with group_of_customers as(select customer_id, count(customer_id) from v_sales and dept='dept #1' group by customer_id) select sales.* from v_sales, group_of_customers and dept nin ('dept #1',null) ;
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 artB C2 20200102 6 ID02 # 0 artB C1 20191231 4 ID03 # 0 artB C2 20200102 7 ID04 box1 0
--sames thing but my group of customers is "customers that buy from dept #1" and "buy item with tag #1" with items_with_tag1 as(select item_id, count(item_id) from v_item_tags and tag='tag #1' group by item_id), group_of_customers as(select customer_id, count(customer_id) from v_sales, items_with_tag1 and dept='dept #1' group by customer_id) select dept,count(*),list(customer_id) from v_sales, group_of_customers and dept nin ('dept #1',null) group by dept ;
dept count(*) list(customer_id) dept #2 3 C1,C2
permissions
end_user col_type create table article_permission ( user_name end_user, art_id t_item_id);
reponse success
insert into article_permission values('rd','artA');
reponse success
insert into article_permission values('pt','artA');
reponse success
insert into article_permission values('pt','artB');
reponse success
create view v_article_permission as select * from article_permission;
reponse success
create table customer_permission ( user_name end_user, customer_id t_customer_id);
reponse success
insert into customer_permission values('rd','C1');
reponse success
insert into customer_permission values('pt','*');
reponse success
create view v_customer_permission as select * from customer_permission;
reponse success
refresh dirty view;
reponse success
select * from v_sales where end_user='pt';
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 item_id art_label dept avg_week_sales sales_price customer_id customer_name artB C2 20200102 6 ID02 # 0 artB the article B dept #2 10 3.200 C2 customer #2 artB C1 20191231 4 ID03 # 0 artB the article B dept #2 10 3.200 C1 customer #1 artB C2 20200102 7 ID04 box1 0 artB the article B dept #2 10 3.200 C2 customer #2 artA C1 20191231 5 ID06 box1 0 artA the article A dept #1 10 1.500 C1 customer #1 artA C2 20191231 5 ID07 box1 0 artA the article A dept #1 10 1.500 C2 customer #2 artA C1 20191231 5 ID01 box1 0 artA the article A dept #1 10 1.500 C1 customer #1 artA C2 20191231 5 ID09 # 55 artA the article A dept #1 10 1.500 C2 customer #2
select * from v_sales where end_user='rd';
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 item_id art_label dept avg_week_sales sales_price customer_id customer_name artA C1 20191231 5 ID06 box1 0 artA the article A dept #1 10 1.500 C1 customer #1 artA C1 20191231 5 ID01 box1 0 artA the article A dept #1 10 1.500 C1 customer #1
dynamic code
The backquotes
TODO explain the tonumber
TODO explain the tag #DYN_SQL#, #DYN_SQL# before cache management
TODO explain number_to_string
TODO explain _headers
TODO note `join(a_headers)` the inside of the backquotes is considered as one word during parsing
select item_id, sales_qty from v_sales callback sort(2,'asc');
item_id sales_qty artB 4 artA 5 artA 5 artA 5 artA 5 artB 6 artB 7 # 8
--#SB no_cache select item_id, sales_qty from v_sales and gte(sales_qty,50/10) callback sort(2,'asc');
item_id sales_qty artA 5 artA 5 artA 5 artA 5 artB 6 artB 7 # 8
--#SB no_cache select item_id, sales_qty from v_sales and gte(sales_qty,`#DYN_SQL#50/10`) callback sort(2,'asc');
item_id sales_qty artA 5 artA 5 artA 5 artA 5 artB 6 artB 7 # 8
--#SB no_cache `#LOAD#num=50;den=10`select item_id, sales_qty from v_sales and gte(sales_qty,`#DYN_SQL#num/den`) callback sort(2,'asc');
item_id sales_qty artA 5 artA 5 artA 5 artA 5 artB 6 artB 7 # 8
with total_sales as(select sum(sales_qty) as v from v_sales function fn_store), a as( select item_id, sum(sales_qty) as v from v_sales function fn_store group by item_id) b as( select item_id, sum(sales_qty) as v from v_sales function fn_store where gte(sales_qty,`total_sales.v/10`) group by item_id) select col_type.val, total_sales.v, a.v, b.v, `"11"..sep().."12"` as `"col1"..sep().."col2"` from no_view, * function fn_merge;
col_type.val total_sales.v a.v b.v col1 col2 45 8 8 11!12 artA 45 20 20 11!12 artB 45 17 13 11!12
--#SB no_cache `#DYN_SQL#decode(true,true,"select item_id, sales_qty from v_sales","another sql")` callback sort(1,'asc');
item_id sales_qty # 8 artA 5 artA 5 artA 5 artA 5 artB 4 artB 7 artB 6
--#SB no_cache `#LOAD#toto="ABC";``#DYN_SQL#decode(toto,"ABC","select item_id, sales_qty from v_sales callback sort(1,'asc')","another sql")`;
item_id sales_qty # 8 artA 5 artA 5 artA 5 artA 5 artB 4 artB 7 artB 6
--#SB no_cache with total_sales as( `#LOAD#same_code="sum(sales_qty) as v from v_sales function fn_store" same_code2="group by item_id"` select `#DYN_SQL#same_code` ), a as( select item_id, `#DYN_SQL#same_code` `#DYN_SQL#same_code2`) b as( select item_id, `#DYN_SQL#same_code` where gte(sales_qty,`total_sales.v/10`) `#DYN_SQL#same_code2`) select col_type.val, total_sales.v, a.v, b.v, round(a.v)..sep()..'12' as `"col1"..sep().."col2"`, number_to_string(a.v)..sep()..'12' as `"col3"..sep().."col4"`, stringify(a) as txt, from no_view, * function fn_merge;
col_type.val total_sales.v a.v b.v col1 col2 col3 col4 txt 45 8 8 8!12 8!12 {v:8,} artA 45 20 20 20!12 20!12 {v:20,} artB 45 17 13 17!12 17!12 {v:17,}
with a as(select item_id, sum(sales_qty), max(sales_qty), avg(sales_qty), min(sales_qty) from v_sales function fn_store group by item_id) select col_type.val, stringify(a_headers) from no_view, * function fn_merge ;
col_type.val stringify(a_headers) {1:'sum(sales_qty)',2:'max(sales_qty)',4:'min(sales_qty)',3:'avg(sales_qty)',} artA {1:'sum(sales_qty)',2:'max(sales_qty)',4:'min(sales_qty)',3:'avg(sales_qty)',} artB {1:'sum(sales_qty)',2:'max(sales_qty)',4:'min(sales_qty)',3:'avg(sales_qty)',}
with a as(select item_id, sum(sales_qty), max(sales_qty), avg(sales_qty), min(sales_qty) from v_sales function fn_store group by item_id) select col_type.val, join(a,a_headers,"__"), join(a,a_headers) as `join(a_headers)` from no_view, * function fn_merge ;
col_type.val join(a,a_headers,"__") sum(sales_qty) max(sales_qty) avg(sales_qty) min(sales_qty) 8__8__8__8 8!8!8!8 artA 20__5__5__5 20!5!5!5 artB 17__7__5.667__4 17!7!5.667!4
with a as(select item_id, count(item_id) from v_items where dept='dept #1' group by item_id) select sales.* from v_sales, a! ;
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 artB C2 20200102 6 ID02 # 0 artB C1 20191231 4 ID03 # 0 artB C2 20200102 7 ID04 box1 0 # C1 20200102 8 ID05 # 0
--sales of customer that have purchased in dept #1 with b as(select customer_id, count(item_id) from v_sales where dept='dept #1' group by customer_id) select sales.* from v_sales, b ;
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 artB C2 20200102 6 ID02 # 0 artB C1 20191231 4 ID03 # 0 artB C2 20200102 7 ID04 box1 0 artA C1 20191231 5 ID06 box1 0 artA C2 20191231 5 ID07 box1 0 artA C1 20191231 5 ID01 box1 0 # C1 20200102 8 ID05 # 0 artA C2 20191231 5 ID09 # 55
--sales of customer that have purchased in dept #1, without the dept #1 sales with a as(select item_id, count(item_id) from v_items where dept='dept #1' group by item_id), b as(select customer_id, count(item_id) from v_sales where dept='dept #1' group by customer_id) select sales.* from v_sales, a!, b ;
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 artB C2 20200102 6 ID02 # 0 artB C1 20191231 4 ID03 # 0 artB C2 20200102 7 ID04 box1 0 # C1 20200102 8 ID05 # 0
select * from v_sales and dept like 'dept #1' ;
item_id customer_id sales_date sales_qty line_id packaging_id sales_qty2 item_id art_label dept avg_week_sales sales_price customer_id customer_name artA C1 20191231 5 ID06 box1 0 artA the article A dept #1 10 1.500 C1 customer #1 artA C2 20191231 5 ID07 box1 0 artA the article A dept #1 10 1.500 C2 customer #2 artA C1 20191231 5 ID01 box1 0 artA the article A dept #1 10 1.500 C1 customer #1 artA C2 20191231 5 ID09 # 55 artA the article A dept #1 10 1.500 C2 customer #2
-- ########################### -- RUNNING shutdown.sql shutdown; -- ########################### -- RUNNING stop_on_error.sql stop_on_error;
reponse success
-- ########################### -- RUNNING clear.sh
/*
sure mode, no confirmation prompt
clearing directory INTERNAL_FILES_DIR (../STORAGE/INT) ...
done
clearing directory MAX_PERF_FILES_DIR (../STORAGE/MAX_PERF) ...
done
clearing directory TRANSAC_FILES_DIR (../STORAGE/TRANSAC) ...
done
*/
-- ########################### -- RUNNING doc_data_init.sql create col_type t_site_id as text;
reponse success
create col_type t_dept_id as text;
reponse success
create col_type t_item_id as text;
reponse success
create col_type t_customer_id as text;
reponse success
create col_type t_date as text;
reponse success
create col_type t_customer_info as text;
reponse success
create col_type end_user as text;
reponse success
create merge table items( item_id t_item_id, art_label text, dept t_dept_id, avg_week_sales number, sales_price number);
reponse success
create merge table customers( customer_id t_customer_id, customer_name text);
reponse success
create table item_tags( item_id t_item_id, tag text);
reponse success
create table fidelity_cards( customer_id t_customer_id, card_label t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create table item_customer_infos( customer_id t_customer_id, item_id t_item_id, info t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create big table sales( item_id t_item_id, customer_id t_customer_id, sales_date t_date, sales_qty number, line_id text, packaging_id t_item_id);
reponse success
create big table inventory( item_id t_item_id, inv_qty number);
reponse success
create view v_items as select * from items;
reponse success
create view v_item_tags as select * from item_tags;
reponse success
create view v_fidelity_cards as select * from fidelity_cards;
reponse success
create view v_item_customer_infos as select * from item_customer_infos;
reponse success
create view v_sales as select * from sales, items, customers where items.item_id=sales.item_id and customers.customer_id=sales.customer_id;
reponse success
create view v_inventory as select * from inventory, items where items.item_id=inventory.item_id;
reponse success
insert into items values('artA','the article A','dept #1',10,1.5);
reponse success
insert into items values('artB','the article B','dept #2',10,3.2);
reponse success
insert into items values('box1','a box','packaging',10,0);
reponse success
insert into customers values('C1','customer #1')('C2','customer #2');
reponse success
insert into item_tags values('artA','tag #1');
reponse success
insert into item_tags values('artA','tag #2');
reponse success
insert into fidelity_cards values('C1','SILVER','20191201','20191231');
reponse success
insert into fidelity_cards values('C1','GOLD','20201201','20201231');
reponse success
insert into item_customer_infos values('C1','artA','FREQUENT BUYER of artA in 2019','20190101','20191231');
reponse success
insert into item_customer_infos values('C1','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into item_customer_infos values('C2','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into sales values('artA','C1','20191231',5,'ID01','box1');
reponse success
insert into sales values('artB','C2','20200102',6,'ID02','');
reponse success
insert into sales values('artB','C1','20191231',4,'ID03','');
reponse success
insert into sales values('artB','C2','20200102',7,'ID04','box1');
reponse success
insert into sales values('artC','C1','20200102',8,'ID05','');
reponse success
insert into sales values('artA','C1','20191231',5,'ID06','box1');
reponse success
insert into sales values('artA','C2','20191231',5,'ID07','box1');
reponse success
insert into inventory values('artA',32);
reponse success
insert into inventory values('artC',12);
reponse success
refresh dirty view;
reponse success
-- ########################### -- RUNNING doc_commands.sql --Commands
Commands are non SQL instructions
defragmentation
The CELL_* files in internal storage needs defragmentation, defrag is done in offline mode during the save process
save;
reponse success
--ACCEPT_DIFF_START --defragmentation did not occur because of the memory_max_gb parameter system 'grep CELL_STORE ../STORAGE/INT/_DESC';
reponse CELL_STORE:7:6252
system 'ls -l ../STORAGE/INT/CELL*';
reponse -rw-r--r-- 1 philippe staff 1000 29 aoû 10:30 ../STORAGE/INT/CELL_BLOCK_0000.cell -rw-r--r-- 1 philippe staff 1000 29 aoû 10:30 ../STORAGE/INT/CELL_BLOCK_0001.cell -rw-r--r-- 1 philippe staff 1000 29 aoû 10:30 ../STORAGE/INT/CELL_BLOCK_0002.cell -rw-r--r-- 1 philippe staff 1000 29 aoû 10:30 ../STORAGE/INT/CELL_BLOCK_0003.cell -rw-r--r-- 1 philippe staff 1000 29 aoû 10:30 ../STORAGE/INT/CELL_BLOCK_0004.cell -rw-r--r-- 1 philippe staff 1000 29 aoû 10:30 ../STORAGE/INT/CELL_BLOCK_0005.cell -rw-r--r-- 1 philippe staff 1000 29 aoû 10:30 ../STORAGE/INT/CELL_BLOCK_0006.cell
--force fragmentation set memory_max_gb=0;
reponse success
save;
reponse success
--less CELL are needed but the files are still here system 'grep CELL_STORE ../STORAGE/INT/_DESC';
reponse CELL_STORE:4:3240
system 'ls -l ../STORAGE/INT/CELL*';
reponse -rw-r--r-- 1 philippe staff 1000 29 aoû 10:30 ../STORAGE/INT/CELL_BLOCK_0000.cell -rw-r--r-- 1 philippe staff 1000 29 aoû 10:30 ../STORAGE/INT/CELL_BLOCK_0001.cell -rw-r--r-- 1 philippe staff 1000 29 aoû 10:30 ../STORAGE/INT/CELL_BLOCK_0002.cell -rw-r--r-- 1 philippe staff 1000 29 aoû 10:30 ../STORAGE/INT/CELL_BLOCK_0003.cell -rw-r--r-- 1 philippe staff 1000 29 aoû 10:30 ../STORAGE/INT/CELL_BLOCK_0004.cell -rw-r--r-- 1 philippe staff 1000 29 aoû 10:30 ../STORAGE/INT/CELL_BLOCK_0005.cell -rw-r--r-- 1 philippe staff 1000 29 aoû 10:30 ../STORAGE/INT/CELL_BLOCK_0006.cell
--next start/bounce will remove them bounce; system 'ls -ltr ../STORAGE/INT/CELL*';
reponse -rw-r--r-- 1 philippe staff 1000 29 aoû 10:30 ../STORAGE/INT/CELL_BLOCK_0000.cell -rw-r--r-- 1 philippe staff 1000 29 aoû 10:30 ../STORAGE/INT/CELL_BLOCK_0001.cell -rw-r--r-- 1 philippe staff 1000 29 aoû 10:30 ../STORAGE/INT/CELL_BLOCK_0002.cell -rw-r--r-- 1 philippe staff 1000 29 aoû 10:30 ../STORAGE/INT/CELL_BLOCK_0003.cell
--ACCEPT_DIFF_END select sales.* from v_sales;
item_id customer_id sales_date sales_qty line_id packaging_id artA C1 20191231 5 ID01 box1 artB C2 20200102 6 ID02 # artB C1 20191231 4 ID03 # artB C2 20200102 7 ID04 box1 artA C1 20191231 5 ID06 box1 # C1 20200102 8 ID05 # artA C2 20191231 5 ID07 box1
--continue_on_error/stop_on_error
By default a script execution will stop on first error
Sometimes this is not what you want (common case is multiple execution of a create statement)
To continue on all errors
continue_on_errorTo stop on all errors
stop_on_errorTo continue on some errors
continue_on_error(err_code1, err_code2, ...) create col_type foo as text;
reponse success
continue_on_error(11,1);
reponse success
create col_type foo as text;
reponse error 1 (continue): object exists already
c__reate col_type foo as text;
reponse error 11 (continue): non valid SQL statement
--basics shells
start.sh stop.sh bounce.sh show_log.shexport.sh
Exports data_model and/or data to a directory
./export.sh <export_dir> <data_model y/n> <data y/n> <nb_thread> <dry_run y/n>
import.sh
Import data_model and/or data from an export directory
./import.sh <export_dir> <data_model y/n> <data y/n> <dry_run y/n>
--sql.sh
From 02_sql
./sql.sh the_user/the_password@sb_host:sb_port [--file:<file.sql> --i]
i means interactive (the file is executed but you must press enter after each execution)From 01_database (connection to local SB)
./sql.sh [--file:<file.sql> --i]
Note about logging: sql.sh will create a log file (sql.log), this file is bit different from stdout, it is used to generate this documentation !! --y/n (sql.sh)
n tells sql.sh to "read but not run" y tells sql.sh to restart normally --display (sql.sh)
something I want to see in sql.log without being executed it can be on several lines but cannot contain a semi column --bounce
same as bounce.sh without killing the process bounce; --shutdown
same as stop.sh without killing the process shutdown; -- ########################### -- RUNNING stop_on_error.sql stop_on_error;
reponse success
-- ########################### -- RUNNING clear.sh
/*
sure mode, no confirmation prompt
clearing directory INTERNAL_FILES_DIR (../STORAGE/INT) ...
done
clearing directory MAX_PERF_FILES_DIR (../STORAGE/MAX_PERF) ...
done
clearing directory TRANSAC_FILES_DIR (../STORAGE/TRANSAC) ...
done
*/
-- ########################### -- RUNNING doc_data_init.sql create col_type t_site_id as text;
reponse success
create col_type t_dept_id as text;
reponse success
create col_type t_item_id as text;
reponse success
create col_type t_customer_id as text;
reponse success
create col_type t_date as text;
reponse success
create col_type t_customer_info as text;
reponse success
create col_type end_user as text;
reponse success
create merge table items( item_id t_item_id, art_label text, dept t_dept_id, avg_week_sales number, sales_price number);
reponse success
create merge table customers( customer_id t_customer_id, customer_name text);
reponse success
create table item_tags( item_id t_item_id, tag text);
reponse success
create table fidelity_cards( customer_id t_customer_id, card_label t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create table item_customer_infos( customer_id t_customer_id, item_id t_item_id, info t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create big table sales( item_id t_item_id, customer_id t_customer_id, sales_date t_date, sales_qty number, line_id text, packaging_id t_item_id);
reponse success
create big table inventory( item_id t_item_id, inv_qty number);
reponse success
create view v_items as select * from items;
reponse success
create view v_item_tags as select * from item_tags;
reponse success
create view v_fidelity_cards as select * from fidelity_cards;
reponse success
create view v_item_customer_infos as select * from item_customer_infos;
reponse success
create view v_sales as select * from sales, items, customers where items.item_id=sales.item_id and customers.customer_id=sales.customer_id;
reponse success
create view v_inventory as select * from inventory, items where items.item_id=inventory.item_id;
reponse success
insert into items values('artA','the article A','dept #1',10,1.5);
reponse success
insert into items values('artB','the article B','dept #2',10,3.2);
reponse success
insert into items values('box1','a box','packaging',10,0);
reponse success
insert into customers values('C1','customer #1')('C2','customer #2');
reponse success
insert into item_tags values('artA','tag #1');
reponse success
insert into item_tags values('artA','tag #2');
reponse success
insert into fidelity_cards values('C1','SILVER','20191201','20191231');
reponse success
insert into fidelity_cards values('C1','GOLD','20201201','20201231');
reponse success
insert into item_customer_infos values('C1','artA','FREQUENT BUYER of artA in 2019','20190101','20191231');
reponse success
insert into item_customer_infos values('C1','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into item_customer_infos values('C2','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into sales values('artA','C1','20191231',5,'ID01','box1');
reponse success
insert into sales values('artB','C2','20200102',6,'ID02','');
reponse success
insert into sales values('artB','C1','20191231',4,'ID03','');
reponse success
insert into sales values('artB','C2','20200102',7,'ID04','box1');
reponse success
insert into sales values('artC','C1','20200102',8,'ID05','');
reponse success
insert into sales values('artA','C1','20191231',5,'ID06','box1');
reponse success
insert into sales values('artA','C2','20191231',5,'ID07','box1');
reponse success
insert into inventory values('artA',32);
reponse success
insert into inventory values('artC',12);
reponse success
refresh dirty view;
reponse success
-- ########################### -- RUNNING doc_contexts.sql --Contexts
contexts are C structure that you can create and reuse later in your custom C code embeded in SBINIT_FILE_PATH (default ./init.sb)
This script is executed at statup and after each refresh dirty view
desc context;
context_name is_drop_yn
system '(echo ''loop fidelity_cards(customer_id,card_label) function fn_build_idx1;'' > ./my_contexts.sb)';
reponse
system '(echo ''loop item_customer_infos(customer_id,item_id,info) function fn_build_idx2;'' >> ./my_contexts.sb)';
reponse
system '(echo ''loop item_customer_infos(customer_id,item_id,info,valid_from,valid_until) function fn_build_idx2_period(''sales_date'');'' >> ./my_contexts.sb)';
reponse
./my_contexts.sb
loop fidelity_cards(customer_id,card_label) function fn_build_idx1;
loop item_customer_infos(customer_id,item_id,info) function fn_build_idx2;
loop item_customer_infos(customer_id,item_id,info,valid_from,valid_until) function fn_build_idx2_period(sales_date);
set init_file_path='./my_contexts.sb';
reponse success
--no context at this step desc context;
context_name is_drop_yn
refresh dirty view;
reponse success
--contexts defined in ./my_contexts.sb are now loaded desc context;
context_name is_drop_yn IDX1#customer_id->card_label n IDX2#customer_id->item_id->info n IDX2_PERIOD#customer_id->item_id->sales_date->info n
refresh dirty view;
reponse success
--contexts defined in ./my_contexts.sb have been re-loaded and previous have been drop desc context;
context_name is_drop_yn IDX1#customer_id->card_label n IDX2#customer_id->item_id->info n IDX2_PERIOD#customer_id->item_id->sales_date->info n
-- ########################### -- RUNNING shutdown.sql shutdown; -- ########################### -- RUNNING stop_on_error.sql stop_on_error;
reponse success
-- ########################### -- RUNNING clear.sh
/*
sure mode, no confirmation prompt
clearing directory INTERNAL_FILES_DIR (../STORAGE/INT) ...
done
clearing directory MAX_PERF_FILES_DIR (../STORAGE/MAX_PERF) ...
done
clearing directory TRANSAC_FILES_DIR (../STORAGE/TRANSAC) ...
done
*/
-- ########################### -- RUNNING doc_data_init.sql create col_type t_site_id as text;
reponse success
create col_type t_dept_id as text;
reponse success
create col_type t_item_id as text;
reponse success
create col_type t_customer_id as text;
reponse success
create col_type t_date as text;
reponse success
create col_type t_customer_info as text;
reponse success
create col_type end_user as text;
reponse success
create merge table items( item_id t_item_id, art_label text, dept t_dept_id, avg_week_sales number, sales_price number);
reponse success
create merge table customers( customer_id t_customer_id, customer_name text);
reponse success
create table item_tags( item_id t_item_id, tag text);
reponse success
create table fidelity_cards( customer_id t_customer_id, card_label t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create table item_customer_infos( customer_id t_customer_id, item_id t_item_id, info t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create big table sales( item_id t_item_id, customer_id t_customer_id, sales_date t_date, sales_qty number, line_id text, packaging_id t_item_id);
reponse success
create big table inventory( item_id t_item_id, inv_qty number);
reponse success
create view v_items as select * from items;
reponse success
create view v_item_tags as select * from item_tags;
reponse success
create view v_fidelity_cards as select * from fidelity_cards;
reponse success
create view v_item_customer_infos as select * from item_customer_infos;
reponse success
create view v_sales as select * from sales, items, customers where items.item_id=sales.item_id and customers.customer_id=sales.customer_id;
reponse success
create view v_inventory as select * from inventory, items where items.item_id=inventory.item_id;
reponse success
insert into items values('artA','the article A','dept #1',10,1.5);
reponse success
insert into items values('artB','the article B','dept #2',10,3.2);
reponse success
insert into items values('box1','a box','packaging',10,0);
reponse success
insert into customers values('C1','customer #1')('C2','customer #2');
reponse success
insert into item_tags values('artA','tag #1');
reponse success
insert into item_tags values('artA','tag #2');
reponse success
insert into fidelity_cards values('C1','SILVER','20191201','20191231');
reponse success
insert into fidelity_cards values('C1','GOLD','20201201','20201231');
reponse success
insert into item_customer_infos values('C1','artA','FREQUENT BUYER of artA in 2019','20190101','20191231');
reponse success
insert into item_customer_infos values('C1','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into item_customer_infos values('C2','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into sales values('artA','C1','20191231',5,'ID01','box1');
reponse success
insert into sales values('artB','C2','20200102',6,'ID02','');
reponse success
insert into sales values('artB','C1','20191231',4,'ID03','');
reponse success
insert into sales values('artB','C2','20200102',7,'ID04','box1');
reponse success
insert into sales values('artC','C1','20200102',8,'ID05','');
reponse success
insert into sales values('artA','C1','20191231',5,'ID06','box1');
reponse success
insert into sales values('artA','C2','20191231',5,'ID07','box1');
reponse success
insert into inventory values('artA',32);
reponse success
insert into inventory values('artC',12);
reponse success
refresh dirty view;
reponse success
-- ########################### -- RUNNING doc_analytics.sql --Analytics
functions
Functions allow to do advanced sql, the general syntax is this
select column_name, function_parameters from view_name function function_name(function_arguments) group by column_namefunction_parameters: p(colum_name1), p(colum_name2), ...
function_arguments: depends on the function
function fn_having
Fn_having is a filter that applys on an operator results (for instance items that have been sold in more that 3 stores)
fn_having(<count|countdistinct|sum|sumpareto>, operator, value)operator: = < > <= >=
select item_id, count(customer_id), countdistinct(customer_id), sum(sales_qty) from v_sales group by item_id callback sort(4,'desc');
item_id count(customer_id) countdistinct(customer_id) sum(sales_qty) artB 3 2 17 artA 3 2 15 # 1 1 8
select sum(sales_qty) from v_sales;
sum(sales_qty) 40
select item_id, p(customer_id) from v_sales function fn_having(count,=,3) group by item_id;
item_id =3 artA y artB y
select item_id, p(customer_id) from v_sales function fn_having(countdistinct,>=,2) group by item_id;
item_id >=2 artA y artB y
select item_id, p(sales_qty) from v_sales function fn_having(sum,<,17) group by item_id;
item_id <17.00 artA y # y
--top items, doing 80% (0.8*50=40) of the total sales select item_id, p(sales_qty) from v_sales function fn_having(sumpareto,<=,40) group by item_id;
item_id <=40.00 artA y artB y # y
--bottom items, doing the remaning 20% of the total sales select item_id, p(sales_qty) from v_sales function fn_having(sumpareto,>=,40) group by item_id;
item_id >=40.00 # y
function fn_store/fn_merge basics
Sql is often used to format/display results, fn_store/fn_merge do that
with with_name1 as ( select group_by_col_name, stored_values from view_name function fn_store ... group by group_by_col_name ), ... select col_type.val, with_name1.alias1 ... from no_view, * function fn_mergestored_values: operator(col_name) as alias1, operator(col_name) as alias2 etc..
operator: <sum|count,countdistinct|min|max|minstr|maxstr|uniques>
Note1: all the with must have 0 or 1 group by column
Note2: all the group by columns must have the same col_type, you refer to this col_type with col_type.val in the fn_merge select
with a as(select item_id, sum(avg_week_sales) as v, unique(art_label) as label from v_items function fn_store group by item_id), b as(select item_id, sum(sales_qty) as v from v_sales function fn_store group by item_id) select col_type.val, a.v, a.label, b.v, 'avg is '..decode(nvl(a.v,0)>b.v,true,'greater','lower')..' than real sales' as label, 'previous value is: '..line.label as label2, from no_view, * function fn_merge;
col_type.val a.v a.label b.v label label2 # # 8 avg is lower than real sales previous value is: avg is lower than real sales artA 10 the article A 15 avg is lower than real sales previous value is: avg is lower than real sales artB 10 the article B 17 avg is lower than real sales previous value is: avg is lower than real sales box1 10 a box # # previous value is: [string "return 'avg is '..decode(nvl(a.v,0)>b.v,tru..."]:1: attempt to compare nil with number
function fn_build_filter
Fn_build_filter builds a boolean matrix, matrix[x][y] = y/n (x: group by col value, y: text column value)
select group_by_col_name, p(text_col_name) from view_name function fn_build_filter(order,columns_kept)group_by_col_name: optional, a one line matrix is created if not provided
order: <asc|desc> optional defaults to asc
columns_kept: 1 means keep first, 2 keep first two, etc... optional defaults to keep all
--sort asc and keep everything by default select item_id, p(sales_date) from v_sales function fn_build_filter() and item_id nin (null) group by item_id;
item_id 20191231 20200102 artA X _ artB X X
--sort desc select item_id, p(sales_date) from v_sales function fn_build_filter(desc) and item_id nin (null) group by item_id;
item_id 20200102 20191231 artA _ X artB X X
--get the first sales_date by item select item_id, p(sales_date) from v_sales function fn_build_filter(asc,1) and item_id nin (null) group by item_id;
item_id 20191231 20200102 artA X _ artB X _
function fn_apply_filter
Fn_apply_filter applys the boolean matrix produced by fn_build_filter
select group_by_col_name, stored_values, p(col_name1), p(col_name2) from view_name function fn_apply_filter(with_alias) ... group by group_by_col_namewith_alias: with holding the fn_build_filter, or null meaning "take previous with"
group_by_col_name: optional
stored_values: operator(col_name) as alias1, operator(col_name) as alias2 etc..
col_name1: must have the same col_type as fn_build_filter_with group by column
col_name2: must have the same col_type as fn_build_filter_with first parameter column
--last sales date of item artA select unique(item_id), sales_date, sum(sales_qty), count(sales_qty) from v_sales and item_id='artA' group by sales_date callback sort(2,'desc') limit(1);
unique(item_id) sales_date sum(sales_qty) count(sales_qty) artA 20191231 15 3
--last sales date of item artB select unique(item_id), sales_date, sum(sales_qty), count(sales_qty) from v_sales and item_id='artB' group by sales_date callback sort(2,'desc') limit(1);
unique(item_id) sales_date sum(sales_qty) count(sales_qty) artB 20200102 13 2
--same in one select using fn_build_filter/fn_apply_filter --note the utility function stringify with a as(select item_id, p(sales_date) from v_sales function fn_build_filter(desc,1) and item_id nin (null) group by item_id), b as( select item_id, maxstr(sales_date) as sales_date, sum(sales_qty) as sales_qty, count(sales_qty) as count, p(item_id), p(sales_date), from v_sales function fn_apply_filter(a) group by item_id ) select col_type.val, b.sales_date, b.sales_qty, b.count, stringify(b) from no_view, * function fn_merge ;
col_type.val b.sales_date b.sales_qty b.count stringify(b) artA 20191231 15 3 {#lines:3,count:3,sales_qty:15,sales_date:'20191231',} artB 20200102 13 2 {#lines:2,count:2,sales_qty:13,sales_date:'20200102',}
function fn_pivot
Fn_pivot builds a number matrix, matrix[x][y] = num_value (x: group by col value, y: text column value)
select group_by_col_name, p(text_col_name), p(number_col_name) from view_name function fn_pivot(operator, with_alias, custom_function, signature, before_fn, after_fn) group by group_by_col_namegroup_by_col_name: optional, a one line matrix is created if not provided
operator: <sum|sumprevious|sumafter|last>
with_alias: with holding the fn_build_filter, or null meaning "no filter, no sort"
custom_function: optional, can be dynamic code or function in stormbase.so
signature: <fn_num|fn_num_num|fn_key_num|fn_key3_num2>, the custom function signature (if and only if custom function is provided)
before_fn: optional, code or null, can be dynamic code or fn name in stormbase.so
after_fn: optional, code or null, can be dynamic code or fn name in stormbase.so
Note: custom function usage is explain in the fn_custom section
-- 1 dimension matrix per item_id select p(item_id), p(sales_qty) from v_sales function fn_pivot(sum,null);
null NO_DATA artA artB box1 artC 0 0 0 0 8 0 0 0 0 0 0 15 17 0 0
-- 2 dimensions matrix per customer_id/item_id select customer_id, p(item_id), p(sales_qty) from v_sales function fn_pivot(sum,null) group by customer_id;
customer_id null NO_DATA artA artB box1 artC C1 0 0 0 0 8 0 0 0 0 0 0 10 4 0 0 C2 0 0 0 0 0 0 0 0 0 0 0 5 13 0 0
-- 2 dimensions matrix per item_id/sales_date select item_id, p(sales_date), p(sales_qty) from v_sales function fn_pivot(sum,null) group by item_id;
item_id null 20191201 20191231 20201201 20201231 20190101 20200101 20200102 artA 0 0 0 0 0 0 0 0 0 0 0 15 0 0 0 0 0 artB 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 13 # 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8
select item_id, p(sales_date), p(sales_qty) from v_sales function fn_pivot(sumprevious,null) group by item_id;
item_id null 20191201 20191231 20201201 20201231 20190101 20200101 20200102 artA 0 0 0 0 0 0 0 0 0 0 0 15 15 15 15 15 15 artB 0 0 0 0 0 0 0 0 0 0 0 4 4 4 4 4 17 # 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8
select item_id, p(sales_date), p(sales_qty) from v_sales function fn_pivot(sumafter,null) group by item_id;
item_id null 20191201 20191231 20201201 20201231 20190101 20200101 20200102 artA 15 15 15 15 15 15 15 15 15 15 15 0 0 0 0 0 0 artB 17 17 17 17 17 17 17 17 17 17 17 13 13 13 13 13 0 # 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 0
select item_id, p(sales_date), p(sales_qty) from v_sales function fn_pivot(last,null) group by item_id;
item_id null 20191201 20191231 20201201 20201231 20190101 20200101 20200102 artA 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 artB 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 7 # 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8
-- fn_build_filter+fn_pivot -- 2 dimensions matrix per item_id/sales_date, the columns are limited to the first sales date of C2/artA select minstr(sales_date) from v_sales and customer_id='C2' and item_id='artA';
minstr(sales_date) 20191231
with a as(select p(sales_date) from v_sales function fn_build_filter(asc,1) and customer_id='C2' and item_id='artA') b as(select item_id, p(sales_date), p(sales_qty) from v_sales function fn_pivot(sum,a) group by item_id) select col_type.val, stringify(b) from no_view, * function fn_merge;
col_type.val stringify(b) {20191231:0,} artA {20191231:15,} artB {20191231:4,}
function fn_filter_pivot
Fn_filter_pivot removes columns from matrix created by fn_pivot
select * from no_view function fn_filter_pivot(with_alias1, with_alias2)with_alias1: with holding the fn_pivot
with_alias2: with holding the fn_build_filter
Note: used in general with sumafter/sumprevious
-- fn_build_filter+fn_pivot+fn_filter_pivot -- build 2 dimensions matrix per item_id/sales_date build only for the first sales date of C2/artA with a as(select p(sales_date) from v_sales function fn_build_filter(asc,1) and customer_id='C2' and item_id='artA'), b as(select item_id, p(sales_date), p(sales_qty) from v_sales function fn_pivot(sum,null) group by item_id), c as(select * from no_view function fn_filter_pivot(b,a)), select col_type.val, stringify(a), stringify(b), stringify(c) from no_view, * function fn_merge;
col_type.val stringify(a) stringify(b) stringify(c) {20191231:'X',} {:0,20191201:0,20201201:0,20191231:0,20200102:8,20190101:0,20201231:0,null:0,20200101:0,} {20191231:0,} artA {20191231:'X',} {:0,20191201:0,20201201:0,20191231:15,20200102:0,20190101:0,20201231:0,null:0,20200101:0,} {20191231:15,} artB {20191231:'X',} {:0,20191201:0,20201201:0,20191231:4,20200102:13,20190101:0,20201231:0,null:0,20200101:0,} {20191231:4,}
-- fn_build_filter+fn_pivot+fn_filter_pivot -- build a 2 dimensions matrix per item_id/sales_date, then keep only the first sales date of the item for customer C2 with a as(select item_id, p(sales_date) from v_sales function fn_build_filter(asc,1) and customer_id='C2' group by item_id), b as(select item_id, p(sales_date), p(sales_qty) from v_sales function fn_pivot(sum,null) group by item_id), c as(select * from no_view function fn_filter_pivot(b,a)), select col_type.val, stringify(a), stringify(b), stringify(c) from no_view, * function fn_merge;
col_type.val stringify(a) stringify(b) stringify(c) {} {:0,20191201:0,20201201:0,20191231:0,20200102:8,20190101:0,20201231:0,null:0,20200101:0,} {} artA {20191231:'X',20200102:'_',} {:0,20191201:0,20201201:0,20191231:15,20200102:0,20190101:0,20201231:0,null:0,20200101:0,} {20191231:15,20200102:0,} artB {20191231:'_',20200102:'X',} {:0,20191201:0,20201201:0,20191231:4,20200102:13,20190101:0,20201231:0,null:0,20200101:0,} {20191231:0,20200102:13,}
function fn_unpivot
Fn_unpivot factorize the matrix created by fn_pivot
select * from no_view funtion fn_unpivot(<sum|avg>, with_holding_the_fn_pivot, custom_function)custom_function: optional, can be dynamic code or code in stormbase.so
select sum(sales_qty), count(sales_qty), avg(sales_qty) from v_sales;
sum(sales_qty) count(sales_qty) avg(sales_qty) 40 7 5.714
select p(item_id), p(sales_qty) from v_sales function fn_pivot(sum,null);
null NO_DATA artA artB box1 artC 0 0 0 0 8 0 0 0 0 0 0 15 17 0 0
with a as (select p(item_id), p(sales_qty) from v_sales function fn_pivot(sum,null)) b as (select * from no_view function fn_unpivot(sum,a)), c as (select * from no_view function fn_unpivot(avg,a)) select b.val, c.val, b.val/c.val as nb_col_in_fn_pivot from no_view,* function fn_merge;
b.val c.val nb_col_in_fn_pivot 40 2.667 15
select customer_id,item_id, sum(sales_qty) from v_sales group by customer_id,item_id;
customer_id item_id sum(sales_qty) C1 artA 10 C2 artB 13 C1 artB 4 C1 # 8 C2 artA 5
with a as (select customer_id, p(item_id), p(sales_qty) from v_sales function fn_pivot(sum,null) group by customer_id) b as (select * from no_view function fn_unpivot(sum,a)), c as (select * from no_view function fn_unpivot(avg,a)), select col_type.val, b.val, c.val from no_view,* function fn_merge;
col_type.val b.val c.val C1 22 1.467 C2 18 1.200
-- fn_build_filter+fn_pivot+fn_filter_pivot+fn_unpivot -- show total sales per item on the date where customer C2 bought it for the first time with a as(select item_id, p(sales_date) from v_sales function fn_build_filter(asc,1) and customer_id='C2' group by item_id), b as(select item_id, p(sales_date), p(sales_qty) from v_sales function fn_pivot(sum,null) group by item_id), c as(select * from no_view function fn_filter_pivot(b,a)), d as(select * from no_view function fn_unpivot(sum,c)), select col_type.val, d.val from no_view, * function fn_merge;
col_type.val d.val artA 15 artB 13
function fn_custom
Fn_custom: ...
select group_by_col_name, function_parameters from view_name function fn_custom(custom_function, signature, before_fn, after_fn) group by group_by_col_name group by the_group_by_columngroup_by_col_name: optional, a one line matrix is created if not provided
function_parameters: p(col_name1), p(col_name2), etc..
custom_function: optional, can be dynamic code or function in stormbase.so
signature: <fn_num|fn_num_num|fn_key_num|fn_key3_num2>, the custom function signature (if and only if custom function is provided)
before_fn: optional, code or null, can be dynamic code or fn name in stormbase.so
after_fn: optional, code or null, can be dynamic code or fn name in stormbase.so
./_SO_CODE/Z_doc_fn_custom_step1.c
#include "./common.h"
static char *my_column = "my_column" ;
int fn_one_column_one_line_before(WITH_INFOS* with_infos) {
with_infos->out_col_count = 1;
with_infos->out_types = malloc(with_infos->out_col_count * sizeof(int));
with_infos->out_headers = malloc(with_infos->out_col_count * sizeof(char*));
char* s = malloc(strlen(my_column)+1);
strcpy(s, my_column);
with_infos->out_headers[0] = s;
with_infos->out_types[0] = ANALYTIC_FLOAT;
float *f = malloc(sizeof(float));
*f = 0.;
with_infos->out_dyn_fn_context = f;
with_infos->out_multi_thread_autorized = 'n';
return OK;
}
int fn_one_column_one_line_after(WITH_INFOS* with_infos) {
WITH_RESULT *res = with_infos->current_with_result;
float *f = res->dyn_fn_context;
res->lines_float[0] = malloc(res->col_count * sizeof(float));
res->lines_float[0][0] = *f;
return OK;
}
set SO_FILE_NAME='Z_doc_fn_custom_step1.so';
reponse success
--#SB log_verbose select p(sales_qty) from v_sales function fn_custom( '(void* c, U_INT thread_pos, U_INT iline, float num){float *f=c; *f+=num; return 0.;}', 'fn_num', fn_one_column_one_line_before,fn_one_column_one_line_after ) ;
my_column 40
select sum(sales_qty) from v_sales ;
sum(sales_qty) 40
-- ########################### -- RUNNING shutdown.sql shutdown; -- ########################### -- RUNNING stop_on_error.sql stop_on_error;
reponse success
-- ########################### -- RUNNING clear.sh
/*
sure mode, no confirmation prompt
clearing directory INTERNAL_FILES_DIR (../STORAGE/INT) ...
done
clearing directory MAX_PERF_FILES_DIR (../STORAGE/MAX_PERF) ...
done
clearing directory TRANSAC_FILES_DIR (../STORAGE/TRANSAC) ...
done
*/
-- ########################### -- RUNNING doc_data_init.sql create col_type t_site_id as text;
reponse success
create col_type t_dept_id as text;
reponse success
create col_type t_item_id as text;
reponse success
create col_type t_customer_id as text;
reponse success
create col_type t_date as text;
reponse success
create col_type t_customer_info as text;
reponse success
create col_type end_user as text;
reponse success
create merge table items( item_id t_item_id, art_label text, dept t_dept_id, avg_week_sales number, sales_price number);
reponse success
create merge table customers( customer_id t_customer_id, customer_name text);
reponse success
create table item_tags( item_id t_item_id, tag text);
reponse success
create table fidelity_cards( customer_id t_customer_id, card_label t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create table item_customer_infos( customer_id t_customer_id, item_id t_item_id, info t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create big table sales( item_id t_item_id, customer_id t_customer_id, sales_date t_date, sales_qty number, line_id text, packaging_id t_item_id);
reponse success
create big table inventory( item_id t_item_id, inv_qty number);
reponse success
create view v_items as select * from items;
reponse success
create view v_item_tags as select * from item_tags;
reponse success
create view v_fidelity_cards as select * from fidelity_cards;
reponse success
create view v_item_customer_infos as select * from item_customer_infos;
reponse success
create view v_sales as select * from sales, items, customers where items.item_id=sales.item_id and customers.customer_id=sales.customer_id;
reponse success
create view v_inventory as select * from inventory, items where items.item_id=inventory.item_id;
reponse success
insert into items values('artA','the article A','dept #1',10,1.5);
reponse success
insert into items values('artB','the article B','dept #2',10,3.2);
reponse success
insert into items values('box1','a box','packaging',10,0);
reponse success
insert into customers values('C1','customer #1')('C2','customer #2');
reponse success
insert into item_tags values('artA','tag #1');
reponse success
insert into item_tags values('artA','tag #2');
reponse success
insert into fidelity_cards values('C1','SILVER','20191201','20191231');
reponse success
insert into fidelity_cards values('C1','GOLD','20201201','20201231');
reponse success
insert into item_customer_infos values('C1','artA','FREQUENT BUYER of artA in 2019','20190101','20191231');
reponse success
insert into item_customer_infos values('C1','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into item_customer_infos values('C2','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into sales values('artA','C1','20191231',5,'ID01','box1');
reponse success
insert into sales values('artB','C2','20200102',6,'ID02','');
reponse success
insert into sales values('artB','C1','20191231',4,'ID03','');
reponse success
insert into sales values('artB','C2','20200102',7,'ID04','box1');
reponse success
insert into sales values('artC','C1','20200102',8,'ID05','');
reponse success
insert into sales values('artA','C1','20191231',5,'ID06','box1');
reponse success
insert into sales values('artA','C2','20191231',5,'ID07','box1');
reponse success
insert into inventory values('artA',32);
reponse success
insert into inventory values('artC',12);
reponse success
refresh dirty view;
reponse success
-- ########################### -- RUNNING doc_parameters.sql --Parameters
desc parameter
desc <|parameter> <|verbose> --ACCEPT_DIFF_START --show non default parameter names desc callback where(2,'parameter');
object_name object_type TCP_PORT_TRANSAC parameter LOG_VERBOSE parameter CPU_COUNT parameter SLEEP_AFTER_SQL parameter ARRAY_BLOCK_SIZE_BIG parameter ARRAY_BLOCK_SIZE_SMALL parameter PROD_SERVER parameter MAX_PERF_USE_COMPRESSION parameter PARETO_LIMIT parameter CACHE parameter MAX_PERF_CHANGE_COUNT parameter ALLOW_WHERE_ERROR parameter ALLOW_GROUP_BY_ERROR parameter INIT_FILE_PATH parameter
--show non default parameters information desc parameter;
param_name current_value comment is_default default_value TCP_PORT_TRANSAC 3319 integer, SB listening port for transaction mode n -1 LOG_VERBOSE y y/n, y: increase verbosity in stormbase.log n n CPU_COUNT 10 integer, number of threads that SB will create for most operations (select, refresh, insert) n 20 SLEEP_AFTER_SQL n y/n, y: a pause of 0.1 sec is added after each sql execution n y ARRAY_BLOCK_SIZE_BIG 2 integer, array size in B, this parameter should not be modified in there is already data n 10000 ARRAY_BLOCK_SIZE_SMALL 2 integer, small array size in B, this parameter should not be modified in there is already data n 100 PROD_SERVER n y/n, n: reduces SB internal memory for non prod server n y MAX_PERF_USE_COMPRESSION y y/n, y: SB will compress (put several ival in one integer) columns in memory n n PARETO_LIMIT 80 % float<=1, during max_perf ival are split between rare and often value, the x% more frequent ivals are the often ival n 100 % CACHE n integer, SB listening port for transaction mode n y MAX_PERF_CHANGE_COUNT n y/n, y: count becomes countdistinct n y ALLOW_WHERE_ERROR y y/n, y: where clause on bad column is ignored in select and does not return an error n n ALLOW_GROUP_BY_ERROR y y/n, y: group by clause on bad column is replaced by * in select resultset and does not return an error n n INIT_FILE_PATH init.sb string, path of script executed on startup and after "refresh dirty view" n ./init.sb
--show all parameters information desc parameter verbose;
param_name current_value comment is_default default_value TCP_PORT 2219 integer, SB listening port y 2219 TCP_PORT_TRANSAC 3319 integer, SB listening port for transaction mode n -1 LOG_VERBOSE y y/n, y: increase verbosity in stormbase.log n n GENERATE_REPLAY n y/n, y: sql are written in stormbase_replay.log y n CPU_COUNT 10 integer, number of threads that SB will create for most operations (select, refresh, insert) n 20 SLEEP_AFTER_SQL n y/n, y: a pause of 0.1 sec is added after each sql execution n y ACTIVITY_SECURITY n y/n, y: a dynamic pause (from 0 to 10 sec depending on #active sessions) is added before select execution y n SESSION_SECURITY y y/n, y: no more connections is accepted if #active sessions >= 30 y y CSV_FILES_DIR ../STORAGE/CSV string, CSV file location used in "insert from file" when file path does not start with / y ../STORAGE/CSV INTERNAL_FILES_DIR ../STORAGE/INT string, SB internal storage location y ../STORAGE/INT TMP_FILES_DIR ../STORAGE/TMP string, SB temporary storage location y ../STORAGE/TMP MAX_PERF_FILES_DIR ../STORAGE/MAX_PERF string, SB "memory image" storage location y ../STORAGE/MAX_PERF TRANSAC_FILES_DIR ../STORAGE/TRANSAC string, SB internal storage location for transaction mode y ../STORAGE/TRANSAC CELL_BLOCK_INCREMENT_SIZE_GB 0.10 GB float, CELL size, this parameter should not be modified if there is already data y 0.10 GB ARRAY_BLOCK_SIZE_BIG 2 integer, array size in B, this parameter should not be modified in there is already data n 10000 ARRAY_BLOCK_SIZE_SMALL 2 integer, small array size in B, this parameter should not be modified in there is already data n 100 MEMORY_MAX_GB 20 integer, SB allows defragmentation if "CELL memory" exceed this number y 20 UNFRAG_BLOCK_PER_BLOCK n y/n, y : SB will defrag block per block hence defrag will be longer but it won't consume more memory y n SPARSE_TEXT_KEEP 10000000 integer, number of values than can be displayed (last inserted) for sparse_text columns y 10000000 PROD_SERVER n y/n, n: reduces SB internal memory for non prod server n y IN_MEMORY_BIG_TABLES ,*, string, list (comma separated) of in memory big tables or * y ,*, NOT_IN_MEMORY_BIG_TABLES ,-1, string, list (comma separated) of "not in memory" big tables y ,-1, NOT_IN_MEMORY_COLUMNS ,-1, string, list (comma separated) of "not in memory columns" big tables y ,-1, MAX_PERF_INDEX_FOR_NOT_IN_MEMORY_BIG_TABLES n y/n, y: compute indexes for non in memory tables y n MAX_PERF_INDEX_ONLY n y/n, y: indexes are in memory but data is on disk y n NOT_INDEXED_DIMENSIONS ,-1, string, list (comma separated) of dimensions on which indexes won't be created y ,-1, MAX_PERF_FILTER_COL_TYPE -1 string, col_type used to reduce amount of data in memory (for sandbox environments) y -1 MAX_PERF_FILTER_FN -1 string, Lua boolean function used to reduce amount of data in memory (for sandbox environments) y -1 MAX_PERF_USE_COMPRESSION y y/n, y: SB will compress (put several ival in one integer) columns in memory n n PARETO_LIMIT 80 % float<=1, during max_perf ival are split between rare and often value, the x% more frequent ivals are the often ival n 100 % MAX_PERF_USE_IVAL_OFTEN_LIMIT 60000 integer, pareto ival are not computed during max_perf if the ival sparsity exceed this number y 60000 PIN_MEMORY n y/n, y: memory is pin hence virtual memory becomes resident y n MAX_PERF_COMPUTE_BIG_TABLES_JOIN y y/n, n: joined columns in big tables are not stored in memory y y MAX_COUNT_DISTINCT_THREAD_SIZE_GB 30 integer, SB will return an error if a countdistinct requires too much memory, the limit is per thread (see CPU_COUNT) y 30 QUERY_TABLE_ALLOWED n y/n, y: select from table allowed (non in memory volatile views will be created on top of each table) y n SKIP_REFRESH_FOR_NOT_IN_MEMORY_BIG_TABLES n y/n, y: (NOT_)IN_MEMORY_BIG_TABLES parameter applies also to view refresh (not only to MAX_PERF) y n HEADER y y/n, y: CSV files have a header line y y FLOAT_PRECISION 3 integer, number of digits kept when a number is inserted y 3 ALLOW_ORPHAN y y/n, y: SB will not refresh a view if its big tables has an orphan value (not found in dimension) y y NEW_COLUMN_NULL_STRING NO_DATA string, default value when a column is added to a table or when a column is not provided in a CSV file y NO_DATA FILE_SEPARATOR , one character, CSV file separator y , INSERT_FORCE_VALUE.col_type_name forced_value string: forced value during insert of this col_type in a big table, unset means "not active" y forced_value SHOW_LINE 100000 integer, progression is log every x lines during inserts y 100000 PARTITION_LINE_COUNT 3000000000 integer, maximum #line in a table partition (SB will created a new partition during insert if needed), 0 means no partition y 3000000000 FILE_LOAD_WITHOUT_BUFFER y y/n, y: insert from file does not use buffer, hence it is faster but the full file is loaded in memory y y ESCAPE_SEPARATOR_INSIDE_DOUBLE_QUOTE n y/n, y: ,"abc,def", in a csv file with , separator is interpreted as one value: abc,def y n SKIP_LINE_KO n y/n, y: bad lines in csv are skipped, n: bad lines generate error in insert y n CACHE n integer, SB listening port for transaction mode n y MAX_PERF_USE_WHERE_INDEX y y/n, y: index are created on dimensions for each view and put in memory y y USE_INDEX_LIMIT 2 integer (>0 and <100), if a where clause targets less than x% of the lines then index scan is done y 2 USE_INDEX_WITH_SORT_LIMIT 10 integer, if a where clause targets less than #lines/this_parameter of the lines then index scan is done in sequence context y 10 REPLACE_COUNTDISTINCT_BY_COUNTSEQUENCE n y/n, countdistinct are replaced by countsequence for sequence columns y n MAX_PERF_CHANGE_COUNT n y/n, y: count becomes countdistinct n y MAX_GBY_BOOSTER_LEN 200000 integer, a select with group by will be computed with optimum performance if the combined sparsity of the group by columns doesn't exceed this number, otherwise it will be slower y 200000 SEQUENCE_COLUMNS ,-1, string, list (comma separated) of sequence columns y ,-1, SEQUENCE_COLUMN_COMPANIONS ,-1, string, list (comma separated) of sequence columns companions y ,-1, ALLOW_WHERE_ERROR y y/n, y: where clause on bad column is ignored in select and does not return an error n n ALLOW_GROUP_BY_ERROR y y/n, y: group by clause on bad column is replaced by * in select resultset and does not return an error n n ALLOW_EXP_ERROR n y/n, y: sum/count/etc.. on bad column is replaced by 0 in select resultset and does not return an error y n ACTIVATE_NEW_DEV n y/n, used to test a new dev on demand y n INIT_FILE_PATH init.sb string, path of script executed on startup and after "refresh dirty view" n ./init.sb COMPUTED_COLUMNS ,-1, string, list (comma separated) of computed columns y ,-1, SO_FILE_NAME stormbase.so string, file under _SO_LINUX that contains the custom C code y stormbase.so DEBUG n y/n, y: triggers debug mode (dev only) y n CELL_BLOCK_INCREMENT_SIZE_B 1000 B float, CELL size, this parameter should not be modified if there is already data y 1000 B
--ACCEPT_DIFF_ENDset
set param_name='param_value' set param_name=default set LOG_VERBOSE='n';
reponse success
desc parameter verbose callback where(1,'LOG_VERBOSE');
param_name current_value comment is_default default_value LOG_VERBOSE n y/n, y: increase verbosity in stormbase.log y n
set LOG_VERBOSE='y';
reponse success
desc parameter verbose callback where(1,'LOG_VERBOSE');
param_name current_value comment is_default default_value LOG_VERBOSE y y/n, y: increase verbosity in stormbase.log n n
set LOG_VERBOSE=default;
reponse success
desc parameter verbose callback where(1,'LOG_VERBOSE');
param_name current_value comment is_default default_value LOG_VERBOSE n y/n, y: increase verbosity in stormbase.log y n
--error management continue_on_error(202,203,204);
reponse success
set LOG_VERBOSE='bad_value';
reponse error 203 (continue): invalid parameter value
set BAD_PARAMETER='value';
reponse error 202 (continue): invalid parameter name
set TCP_PORT_TRANSAC='2324';
reponse error 204 (continue): parameter can only be set in stormbase.conf
stop_on_error;
reponse success
-- ########################### -- RUNNING shutdown.sql shutdown; -- ########################### -- RUNNING stop_on_error.sql stop_on_error;
reponse success
-- ########################### -- RUNNING clear.sh
/*
sure mode, no confirmation prompt
clearing directory INTERNAL_FILES_DIR (../STORAGE/INT) ...
done
clearing directory MAX_PERF_FILES_DIR (../STORAGE/MAX_PERF) ...
done
clearing directory TRANSAC_FILES_DIR (../STORAGE/TRANSAC) ...
done
*/
-- ########################### -- RUNNING doc_data_init.sql create col_type t_site_id as text;
reponse success
create col_type t_dept_id as text;
reponse success
create col_type t_item_id as text;
reponse success
create col_type t_customer_id as text;
reponse success
create col_type t_date as text;
reponse success
create col_type t_customer_info as text;
reponse success
create col_type end_user as text;
reponse success
create merge table items( item_id t_item_id, art_label text, dept t_dept_id, avg_week_sales number, sales_price number);
reponse success
create merge table customers( customer_id t_customer_id, customer_name text);
reponse success
create table item_tags( item_id t_item_id, tag text);
reponse success
create table fidelity_cards( customer_id t_customer_id, card_label t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create table item_customer_infos( customer_id t_customer_id, item_id t_item_id, info t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create big table sales( item_id t_item_id, customer_id t_customer_id, sales_date t_date, sales_qty number, line_id text, packaging_id t_item_id);
reponse success
create big table inventory( item_id t_item_id, inv_qty number);
reponse success
create view v_items as select * from items;
reponse success
create view v_item_tags as select * from item_tags;
reponse success
create view v_fidelity_cards as select * from fidelity_cards;
reponse success
create view v_item_customer_infos as select * from item_customer_infos;
reponse success
create view v_sales as select * from sales, items, customers where items.item_id=sales.item_id and customers.customer_id=sales.customer_id;
reponse success
create view v_inventory as select * from inventory, items where items.item_id=inventory.item_id;
reponse success
insert into items values('artA','the article A','dept #1',10,1.5);
reponse success
insert into items values('artB','the article B','dept #2',10,3.2);
reponse success
insert into items values('box1','a box','packaging',10,0);
reponse success
insert into customers values('C1','customer #1')('C2','customer #2');
reponse success
insert into item_tags values('artA','tag #1');
reponse success
insert into item_tags values('artA','tag #2');
reponse success
insert into fidelity_cards values('C1','SILVER','20191201','20191231');
reponse success
insert into fidelity_cards values('C1','GOLD','20201201','20201231');
reponse success
insert into item_customer_infos values('C1','artA','FREQUENT BUYER of artA in 2019','20190101','20191231');
reponse success
insert into item_customer_infos values('C1','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into item_customer_infos values('C2','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into sales values('artA','C1','20191231',5,'ID01','box1');
reponse success
insert into sales values('artB','C2','20200102',6,'ID02','');
reponse success
insert into sales values('artB','C1','20191231',4,'ID03','');
reponse success
insert into sales values('artB','C2','20200102',7,'ID04','box1');
reponse success
insert into sales values('artC','C1','20200102',8,'ID05','');
reponse success
insert into sales values('artA','C1','20191231',5,'ID06','box1');
reponse success
insert into sales values('artA','C2','20191231',5,'ID07','box1');
reponse success
insert into inventory values('artA',32);
reponse success
insert into inventory values('artC',12);
reponse success
refresh dirty view;
reponse success
-- ########################### -- RUNNING doc_others.sql --Others
reduce memory and disk usage
Use QUERY_TABLE_ALLOWED and SKIP_REFRESH_FOR_NOT_IN_MEMORY_BIG_TABLES
Use these parameters when you need to limit memory and disk usage, and when response time does not matter
desc parameter verbose cb where(1,'QUERY_TABLE_ALLOWED');
param_name current_value comment is_default default_value QUERY_TABLE_ALLOWED n y/n, y: select from table allowed (non in memory volatile views will be created on top of each table) y n
continue_on_error(49);
reponse success
select * from sales;
reponse error 49 (continue): <text> is not a view
stop_on_error;
reponse success
--the volatile views used to query table are created at startup, hence SB must be saved/bounced to take into account QUERY_TABLE_ALLOWED system '(echo "QUERY_TABLE_ALLOWED:y">>stormbase.conf)';
reponse
save;
reponse success
bounce; desc parameter verbose cb where(1,'QUERY_TABLE_ALLOWED');
param_name current_value comment is_default default_value QUERY_TABLE_ALLOWED y y/n, y: select from table allowed (non in memory volatile views will be created on top of each table) n n
--volatile views are created desc view cb like(1,'volatile');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count volatile#items 1 3 n y y 10 0 0 0 0 0 volatile#customers 1 2 n y y 10 0 0 0 0 0 volatile#item_tags 1 2 n y y 10 0 0 0 0 0 volatile#fidelity_cards 1 2 n y y 10 0 0 0 0 0 volatile#item_customer_infos 1 3 n y y 10 0 0 0 0 0 volatile#sales 1 7 n y y 10 0 0 0 0 0 volatile#inventory 1 2 n y y 10 0 0 0 0 0
select * from sales;
item_id customer_id sales_date sales_qty line_id packaging_id artA C1 20191231 5 ID01 box1 artB C2 20200102 6 ID02 # artB C1 20191231 4 ID03 # artB C2 20200102 7 ID04 box1 artC C1 20200102 8 ID05 # artA C1 20191231 5 ID06 box1 artA C2 20191231 5 ID07 box1
select sales.* from v_sales;
item_id customer_id sales_date sales_qty line_id packaging_id artA C1 20191231 5 ID01 box1 artB C2 20200102 6 ID02 # artB C1 20191231 4 ID03 # artB C2 20200102 7 ID04 box1 artA C1 20191231 5 ID06 box1 # C1 20200102 8 ID05 # artA C2 20191231 5 ID07 box1
set skip_refresh_for_not_in_memory_big_tables='y';
reponse success
set in_memory_big_tables='-1';
reponse success
refresh_force dirty view;
reponse success
select sales.* from v_sales;
item_id customer_id sales_date sales_qty line_id packaging_id
select * from sales;
item_id customer_id sales_date sales_qty line_id packaging_id artA C1 20191231 5 ID01 box1 artB C2 20200102 6 ID02 # artB C1 20191231 4 ID03 # artB C2 20200102 7 ID04 box1 artC C1 20200102 8 ID05 # artA C1 20191231 5 ID06 box1 artA C2 20191231 5 ID07 box1
save;
reponse success
--volatile views are not saved, they are created at startup (or during table creation) system 'ls -ltr ../STORAGE/INT/*|grep volatile|wc -l';
reponse 0
system 'cat ../STORAGE/INT/_DESC|grep volatile|wc -l';
reponse 0
system '(echo "QUERY_TABLE_ALLOWED:n">>stormbase.conf)';
reponse
save;
reponse success
bounce;need to force a value during an insert
use INSERT_FORCE_VALUE parameter
set 'INSERT_FORCE_VALUE.t_item_id'='-1';
reponse success
desc parameter verbose cb like(1,'INSERT_FORCE_VALUE.T_ITEM_ID');
param_name current_value comment is_default default_value INSERT_FORCE_VALUE.T_ITEM_ID -1 string: forced value during insert of this col_type in a big table, unset means "not active" y -1
insert into sales values('artZ','C2','20191231',5,'ID_TEST','box1');
reponse success
refresh dirty view;
reponse success
select sales#item_id from v_sales and line_id='ID_TEST';
sales#item_id -1
set 'INSERT_FORCE_VALUE.t_item_id'='unset';
reponse success
desc parameter verbose cb like(1,'INSERT_FORCE_VALUE.T_ITEM_ID');
param_name current_value comment is_default default_value INSERT_FORCE_VALUE.T_ITEM_ID unset string: forced value during insert of this col_type in a big table, unset means "not active" n -1
insert into sales values('artZ','C2','20191231',5,'ID_TEST','box1');
reponse success
refresh dirty view;
reponse success
select sales#item_id from v_sales and line_id='ID_TEST';
sales#item_id -1 artZ
function sb_export
loop table_name(columns) function sb_export('path/to/directory','file_tag',thread_count) ... loop sales(*) function sb_export('./foo','ABC',4);
LOOP_RESULT DONE
--ACCEPT_DIFF_START system 'for f in `ls ./foo/*.csv`; do echo "### $f ###"; cat $f; done';
reponse ### ./foo/ABC_001.csv ### item_id,customer_id,sales_date,sales_qty,line_id,packaging_id artA,C1,20191231,5.000,ID01,box1 artB,C1,20191231,4.000,ID03, artA,C2,20191231,5.000,ID07,box1 ### ./foo/ABC_002.csv ### item_id,customer_id,sales_date,sales_qty,line_id,packaging_id artB,C2,20200102,6.000,ID02, artB,C2,20200102,7.000,ID04,box1 -1,C2,20191231,5.000,ID_TEST,-1 artZ,C2,20191231,5.000,ID_TEST,box1 ### ./foo/ABC_003.csv ### item_id,customer_id,sales_date,sales_qty,line_id,packaging_id artC,C1,20200102,8.000,ID05, ### ./foo/ABC_004.csv ### item_id,customer_id,sales_date,sales_qty,line_id,packaging_id artA,C1,20191231,5.000,ID06,box1
--ACCEPT_DIFF_ENDset_text/set_sparse_text
continue_on_error(20);
reponse success
drop view v_foo;
reponse error 20 (continue): "<object_name>" is not an object or "<type_name>" is not correct
drop table foo;
reponse error 20 (continue): "<object_name>" is not an object or "<type_name>" is not correct
refresh dirty view;
reponse success
stop_on_error;
reponse success
create table foo(col number,str text);
reponse success
create view v_foo as select * from foo;
reponse success
refresh dirty view;
reponse success
insert into foo values(111.11,'A')(222.22,'B');
reponse success
refresh dirty view;
reponse success
select * from v_foo;
col str 111.110 A 222.220 B
desc table foo;
table_name column_name column_type col_type_name foo col number sys#type#foo#col foo str text sys#type#foo#str
set_text sys#type#foo#col;
reponse success
desc table foo;
table_name column_name column_type col_type_name foo col text sys#type#foo#col foo str text sys#type#foo#str
select * from v_foo;
col str 111.110 A 222.220 B
insert into foo values('True','C');
reponse success
refresh dirty view;
reponse success
select * from v_foo;
col str 111.110 A 222.220 B True C
-- create table foo(a text, b number); -- create view v_foo as select * from foo; --ival behaves "normaly" insert into foo values('aa3','bb3');
reponse success
insert into foo values('aa3','bb3');
reponse success
insert into foo values('aa3','bb3');
reponse success
refresh dirty view;
reponse success
select col,ival(col),count(*) from v_foo group by col;
col ival(col) count(*) 111.110 10 1 222.220 11 1 True 12 1 aa3 13 3
set_sparse_text sys#type#foo#col;
reponse success
select col,ival(col),count(*) from v_foo group by col;
col ival(col) count(*) 111.110 10 1 222.220 11 1 True 12 1 aa3 13 3
save;
reponse success
--ACCEPT_DIFF_START system 'ls -l ../STORAGE/INT/*.cell_array';
reponse ls: ../STORAGE/INT/*.cell_array: No such file or directory
--bounce will finalize the migration bounce; system 'ls -l ../STORAGE/INT/*.cell_array';
reponse -rw-r--r-- 1 philippe staff 117 29 aoû 10:30 ../STORAGE/INT/0099_sys#type#foo#col.ival_to_val.cell_array
--ACCEPT_DIFF_END system 'cat ../STORAGE/INT/*.cell_array';
reponse 0;0.000 1;0.000 2;0.000 3;0.000 4;0.000 5;0.000 6;0.000 7;0.000 8;0.000 9;0.000 10;111.110 11;222.220 12;True 13;aa3
-- select col,ival(col),count(*) from v_foo group by col;
col ival(col) count(*) 111.110 10 1 222.220 11 1 True 12 1 aa3 13 3
--each insert gets a new ival insert into foo values('aa3','bb3')('aa3','bb3');
reponse success
insert into foo values('aa4','bb4')('aa4','bb4');
reponse success
refresh dirty view;
reponse success
select col,ival(col),count(*) from v_foo group by col;
col ival(col) count(*) 111.110 10 1 222.220 11 1 True 12 1 aa3 13 3 aa3 14 1 aa3 15 1 aa4 16 1 aa4 17 1
save;
reponse success
--ACCEPT_DIFF_START system 'ls -l ../STORAGE/INT/*.cell_array';
reponse -rw-r--r-- 1 philippe staff 145 29 aoû 10:30 ../STORAGE/INT/0099_sys#type#foo#col.ival_to_val.cell_array
system 'cat ../STORAGE/INT/*.cell_array';
reponse 0;0.000 1;0.000 2;0.000 3;0.000 4;0.000 5;0.000 6;0.000 7;0.000 8;0.000 9;0.000 10;111.110 11;222.220 12;True 13;aa3 14;aa3 15;aa3 16;aa4 17;aa4
--ACCEPT_DIFF_ENDshow table statistics (work in progress)
loop sales(sales_date,sales_qty) function fn_compute_info('my_info');
column_name abs_avg abs_min abs_max sales_date nan nan nan sales_qty 5.56 4.00 8.00
select sum(sales_qty),count(sales_qty),avg(sales_qty) from v_sales;
sum(sales_qty) count(sales_qty) avg(sales_qty) 50 9 5.556
allow errors in select
Sometimes it can't be easier to ignore errors, it facilitates integration with reporting tool
Parameters: ALLOW_WHERE_ERROR, ALLOW_GROUP_BY_ERROR, ALLOW_EXP_ERROR
continue_on_error(53,120,150);
reponse success
select sales.* from v_sales and bad_column='1' and item_id='artA';
item_id customer_id sales_date sales_qty line_id packaging_id artA C1 20191231 5 ID01 box1 artA C1 20191231 5 ID06 box1 artA C2 20191231 5 ID07 box1
select * from v_items and v_fidelity_cards.card_label='bad_value';
item_id art_label dept avg_week_sales sales_price artA the article A dept #1 10 1.500 artB the article B dept #2 10 3.200 box1 a box packaging 10 0
with a as (select card_label,count(card_label) from v_fidelity_cards group by card_label) select * from v_items,a;
item_id art_label dept avg_week_sales sales_price artA the article A dept #1 10 1.500 artB the article B dept #2 10 3.200 box1 a box packaging 10 0
stop_on_error;
reponse success
set allow_where_error='y';
reponse success
select sales.* from v_sales and bad_column='1' and item_id='artA';
item_id customer_id sales_date sales_qty line_id packaging_id artA C1 20191231 5 ID01 box1 artA C1 20191231 5 ID06 box1 artA C2 20191231 5 ID07 box1
select sales.* from v_sales and bad_column in ('1','2','3') and item_id='artA';
item_id customer_id sales_date sales_qty line_id packaging_id artA C1 20191231 5 ID01 box1 artA C1 20191231 5 ID06 box1 artA C2 20191231 5 ID07 box1
select sales.* from v_sales and gt(bad_column,1) and item_id='artA';
item_id customer_id sales_date sales_qty line_id packaging_id artA C1 20191231 5 ID01 box1 artA C1 20191231 5 ID06 box1 artA C2 20191231 5 ID07 box1
select sales.* from v_sales and bad_column in ('1','2','3') and item_id='artA' and bad_column in ('1','2','3') and item_id='artA' and gt(bad_column,1) and item_id='artA';
item_id customer_id sales_date sales_qty line_id packaging_id artA C1 20191231 5 ID01 box1 artA C1 20191231 5 ID06 box1 artA C2 20191231 5 ID07 box1
select * from v_items and bad_column='bad_value';
item_id art_label dept avg_week_sales sales_price artA the article A dept #1 10 1.500 artB the article B dept #2 10 3.200 box1 a box packaging 10 0
select * from v_items and v_fidelity_cards.card_label='bad_value';
item_id art_label dept avg_week_sales sales_price artA the article A dept #1 10 1.500 artB the article B dept #2 10 3.200 box1 a box packaging 10 0
with a as (select card_label,count(card_label) from v_fidelity_cards group by card_label) select * from v_items,a;
item_id art_label dept avg_week_sales sales_price artA the article A dept #1 10 1.500 artB the article B dept #2 10 3.200 box1 a box packaging 10 0
continue_on_error(53);
reponse success
select bad_column,count(*) from v_sales group by bad_column;
bad_column count(*) * 9
stop_on_error;
reponse success
set allow_group_by_error='y';
reponse success
select count(*) from v_sales;
count(*) 9
select bad_column,count(*) from v_sales group by bad_column;
bad_column count(*) * 9
select item_id,bad_column,item_id,count(*) from v_sales group by item_id,bad_column,item_id;
item_id bad_column item_id count(*) artA * artA 3 artB * artB 3 # * # 3
continue_on_error(53);
reponse success
select sum(sales_qty),sum(bad_column) from v_sales;
reponse error 53 (continue): <column_name> not part of <view_name> definition
stop_on_error;
reponse success
set allow_exp_error='y';
reponse success
select sum(sales_qty),sum(bad_column) from v_sales;
sum(sales_qty) sum(bad_column) 50 0
sb_parallel
When you use a custom C in multi thread context, you might need each thread to treat a given subset of the data
This is possible in SB, and this is called "sb_parallel mode"
If a where clause use sb_parallel lua function then the "sb_parallel mode" is triggered
For instance here under we want each thread to treat data of a single item_id, hence the sb_parallel(item_id) where clause
In some cases "sb_parallel mode" is replaced by a "mono thread mode"
This happens when pareto in used or when the index of the sb_parallel column cannot be used
--only one sb_parallel clause is authorized continue_on_error(206);
reponse success
select sales.* from v_sales and sb_parallel(item_id) and sb_parallel(sales_date);
reponse error 206 (continue): only one sb_parallel clause is allowed
stop_on_error;
reponse success
set pareto_limit='1';
reponse success
refresh_force dirty view;
reponse success
select sales.* from v_sales and sb_parallel(item_id);
item_id customer_id sales_date sales_qty line_id packaging_id artA C1 20191231 5 ID01 box1 artA C1 20191231 5 ID06 box1 artA C2 20191231 5 ID07 box1 artB C2 20200102 6 ID02 # artB C1 20191231 4 ID03 # artB C2 20200102 7 ID04 box1
--without the sb_parallel there is no logic between item_id and thread_pos select p(item_id) from v_sales function fn_custom( '(void* c, U_INT thread_pos, U_INT iline, int key1){printf("## item_id ival: %d, thread_pos: %u\n",key1,thread_pos);return 0.;}', 'fn_key', 'fn_hello_world_before','fn_hello_world_after' ) ; item_id ival: 11, thread_pos: 0 item_id ival: 12, thread_pos: 0 item_id ival: 12, thread_pos: 0 item_id ival: 12, thread_pos: 0 item_id ival: 11, thread_pos: 0 item_id ival: 11, thread_pos: 0
txt hello world
--with the sb_parallel one item_id receives one thread_pos select p(item_id) from v_sales function fn_custom( '(void* c, U_INT thread_pos, U_INT iline, int key1){printf("## item_id ival: %d, thread_pos: %u\n",key1,thread_pos);return 0.;}', 'fn_key', 'fn_hello_world_before','fn_hello_world_after' ) and sb_parallel(item_id) ; item_id ival: 11, thread_pos: 0 item_id ival: 11, thread_pos: 0 item_id ival: 11, thread_pos: 0 item_id ival: 12, thread_pos: 0 item_id ival: 12, thread_pos: 0 item_id ival: 12, thread_pos: 0
txt hello world
fn_compute_info / fn_smart_delete (beta)
loop sales(sales_date,sales_qty) function fn_compute_info('my_info');
column_name abs_avg abs_min abs_max sales_date nan nan nan sales_qty 5.56 4.00 8.00
select sales_qty from v_sales callback sort(1,'desc');
sales_qty 8 7 6 5 5 5 5 5 4
with a as (select avg(sales_qty) as v from v_sales function fn_store), del_count as (select count(sales_qty) as v from v_sales function fn_store and gte(math.abs(sales_qty),`a.v*1.1`)), kept_count as (select count(sales_qty) as v from v_sales function fn_store and lt(math.abs(sales_qty),`a.v*1.1`)), select del_count.v, kept_count.v, a.v*1.1 from no_view, * function fn_merge ;
del_count.v kept_count.v a.v*1.1 2 7 6.111
loop sales(sales_qty) function fn_smart_delete('my_info','1.1') update(item_id);
LOOP_RESULT DONE
refresh dirty view;
reponse success
select sales_qty from v_sales callback sort(1,'desc');
sales_qty 6 5 5 5 5 5 4
--set_dirty
refresh a particular view set_dirty <the_view> desc view callback like(1,'v_sales');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 7 n n n 10 0 17 17 0 0
set_dirty v_sales;
reponse success
desc view callback like(1,'v_sales');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 7 y n n 10 0 17 17 0 0
refresh dirty view;
reponse success
desc view callback like(1,'v_sales');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 7 n n n 10 0 17 17 0 0
--but in partition context you must specify the partitions save;
reponse success
set PARTITION_LINE_COUNT=1;
reponse success
insert into sales values('artA','C1','20191231',5,'_','box1');
reponse success
insert into sales values('artA','C1','20191231',5,'_','box1');
reponse success
insert into sales values('artA','C1','20191231',5,'_','box1');
reponse success
refresh dirty view;
reponse success
desc view callback like(1,'v_sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 7 n n n 10 0 17 17 0 0 v_sales_#partition#_00001 3 1 n n n 10 0 11 11 0 0 v_sales_#partition#_00002 3 1 n n n 10 0 11 11 0 0 v_sales_#partition#_00003 3 1 n n n 10 0 11 11 0 0
set_dirty v_sales;
reponse success
set_dirty v_sales_#partition#_00002;
reponse success
desc view callback like(1,'v_sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 7 y n n 10 0 17 17 0 0 v_sales_#partition#_00001 3 1 y n n 10 0 11 11 0 0 v_sales_#partition#_00002 3 1 y n n 10 0 11 11 0 0 v_sales_#partition#_00003 3 1 y n n 10 0 11 11 0 0
refresh dirty view;
reponse success
desc view callback like(1,'v_sales') sort(1,'asc');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 7 n n n 10 0 17 17 0 0 v_sales_#partition#_00001 3 1 n n n 10 0 11 11 0 0 v_sales_#partition#_00002 3 1 n n n 10 0 11 11 0 0 v_sales_#partition#_00003 3 1 n n n 10 0 11 11 0 0
bounce; --backup
backup 'the_directory' --ACCEPT_DIFF_START system 'ls -l ../STORAGE/INT| wc -l';
reponse 302
save;
reponse success
save;
reponse success
system 'ls -l ../STORAGE/INT| wc -l';
reponse 304
system 'rm -Rf ./toto';
reponse
system 'mkdir ./toto';
reponse
backup './toto';
reponse BACKUP OK
system 'ls -l ./toto| wc -l';
reponse 285
system 'ls -l ../STORAGE/INT| wc -l';
reponse 304
--ACCEPT_DIFF_END bounce; --dates
--ACCEPT_DIFF_START select now(), sysdate(), to_char(now(),'yyyymmdd') from no_view function fn_merge;
now() sysdate() to_char(now(),'yyyymmdd') 1693297792 1693297792 20230829
--ACCEPT_DIFF_END select to_date('20200101','yyyymmdd') as d, to_char(line.d,'%a'), to_char(line.d,'%j'), from no_view function fn_merge;
d to_char(line.d,'%a') to_char(line.d,'%j') 1577833216 Wed 001
create table my_data (date_yyyymmdd text);
reponse success
create view v_my_data as select * from my_data;
reponse success
insert into my_data values('20191230')('20191231')('20200101')('20200102')('20200103')('20200104')('20200105');
reponse success
insert into my_data values('20200107')('20200108')('20200109')('20200110')('20200111')('20200112');
reponse success
refresh dirty view;
reponse success
select * from v_my_data;
date_yyyymmdd 20191230 20191231 20200101 20200102 20200103 20200104 20200105 20200107 20200108 20200109 20200110 20200111 20200112
set log_verbose='y';
reponse success
--working with week numbers (TODO) --#SB no_cache log_verbose with a as(select date_yyyymmdd,unique(date_yyyymmdd) as v from v_my_data function fn_store group by date_yyyymmdd) select col_type.val as yyyymmdd, to_date(a.v,'yyyymmdd') as d, -1 as prio_lag, 196 as keep_count, --20000103 is a Monday to_date('20000103','yyyymmdd')+line.prio_lag*24*3600 as prio_day, to_char(line.prio_day,'%a') as prio_dow, to_char(line.d,'%a') as d_dow, math.floor((now()-line.d)/24/3600) as delta_today, (line.d-line.prio_day)/24/3600 as delta, math.floor(line.delta/7) as delta_week, line.delta%7 as delta_dow, from no_view, a function fn_merge callback sub_select('group(delta_week) min(delta_dow)') add_text('keep_yn','if line.delta_today>line.keep_count then return "n" end if math.floor(line.min_delta_dow-line.delta_dow)==0 then return "y" else return "n" end') select_from('group(yyyymmdd) group(keep_yn) group(d_dow)') sort(1,'asc') ;
group_yyyymmdd group_keep_yn group_d_dow 20191230 n Mon 20191231 n Tue 20200101 n Wed 20200102 n Thu 20200103 n Fri 20200104 n Sat 20200105 n Sun 20200107 n Tue 20200108 n Wed 20200109 n Thu 20200110 n Fri 20200111 n Sat 20200112 n Sun
--build a calendar table (TODO) select `fn_calendar('20200101','20200230','yyyymmdd',{"%Y%m%d","%A","%B","%Y"})` as `"date"..sep().."week_day"..sep().."month_name"..sep().."full_year"`, from no_view function fn_merge export to tmp_file('calendar.csv') ; --SB tags
select SB use_index|no_index|log_verbose|no_cache|explain
.. from ...Several SB tags can be used
--no_cache: obvious --the explain tag tells SB to return the logs instead of the values --the idea is that the logs "explain" what SB does --note that without no_cache SB will "do nothing" (read result from cache) select --#SB no_cache explain * from v_sales ;
logs
--handy to understand error continue_on_error(53);
reponse success
--#SB explain select bad_column from v_sales;
logs reponse y success
stop_on_error;
reponse success
--log_verbose: obvious --explain is always used with log_verbose select --#SB no_cache explain log_verbose * from v_sales callback limit(10) ;
logs
--no_index: obvious select --#SB explain no_cache log_verbose no_index * from v_sales and dept like 'dept #1' callback like(1,'where_index|function') ;
logs
--use_index: obvious select --#SB explain no_cache log_verbose use_index * from v_sales and dept like 'dept #1' callback like(1,'where_index|function') ;
logs
index vs no_index read
index read versus no_index (aka sequential read or full scan) read set PARETO_LIMIT='1';
reponse success
set CPU_COUNT='1';
reponse success
refresh_force dirty view;
reponse success
--a no_index (full scan) reads all lines sequentialy and filter select --#SB log_verbose no_index no_cache customer_id, line_id, sales#item_id from v_sales and item_id in ('artA','artB') ;
customer_id line_id sales#item_id C1 ID01 artA C2 ID02 artB C1 ID03 artB C1 ID06 artA C2 ID07 artA
--an index read does that (lines corresponding to artA, then artB) select --#SB log_verbose use_index no_cache customer_id, line_id, sales#item_id from v_sales and item_id in ('artA','artB') ;
customer_id line_id sales#item_id C1 ID01 artA C1 ID06 artA C2 ID07 artA C2 ID02 artB C1 ID03 artB
--SB's logic to do index or sequential read is this: --X=total #lines --Y=#lines targeted by index --SB will use the index if Y < X / USE_INDEX_LIMIT set USE_INDEX_LIMIT=1;
reponse success
select --#SB log_verbose no_cache explain customer_id, line_id, sales#item_id from v_sales and item_id in ('artA','artB') callback like(1,'where_index') ;
logs
set USE_INDEX_LIMIT=10;
reponse success
select --#SB log_verbose no_cache explain customer_id, line_id, sales#item_id from v_sales and item_id in ('artA','artB') callback like(1,'where_index') ;
logs
--if SB needs to sort the lines before (countsequence context, explained after) then USE_INDEX_WITH_SORT_LIMIT is used --SB will use the index if Y < X / USE_INDEX_WITH_SORT_LIMIT set USE_INDEX_LIMIT=1;
reponse success
set USE_INDEX_WITH_SORT_LIMIT=1;
reponse success
select --#SB log_verbose no_cache explain countsequence(customer_id) from v_sales and item_id in ('artA','artB') callback like(1,'where_index') ;
logs
set USE_INDEX_WITH_SORT_LIMIT=10;
reponse success
select --#SB log_verbose no_cache explain countsequence(customer_id) from v_sales and item_id in ('artA','artB') callback like(1,'where_index') ;
logs
countsequence
countsequence(the_column) counts the number of value changes during reading countsequence can be an alternative to countdistinct !!! countsequence will return incorrect result if PARETO_LIMIT!=1 !!! select --#SB no_cache no_index customer_id, line_id, sales#item_id from v_sales and item_id in ('artA','artB') ;
customer_id line_id sales#item_id C1 ID01 artA C2 ID02 artB C1 ID03 artB C1 ID06 artA C2 ID07 artA
select --#SB no_cache no_index countsequence(customer_id) from v_sales and item_id in ('artA','artB') ;
countsequence(customer_id) 4
--same result (of course) with index select --#SB no_cache use_index countsequence(customer_id) from v_sales and item_id in ('artA','artB') ;
countsequence(customer_id) 4
--but when an index read is done, SB must sort the lines to get correct result select --#SB log_verbose use_index no_cache explain countsequence(customer_id) from v_sales and item_id in ('artA','artB') callback like(1,'sequence') ;
logs
hide data from memory
Parameters: MAX_PERF_FILTER & MAX_PERF_FILTER_FN
save;
reponse success
select customer_id,count(*) from v_sales group by customer_id;
customer_id count(*) C1 3 C2 4
desc view callback like(1,'sales');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 7 n n n 10 0 17 17 0 0
set MAX_PERF_FILTER_COL_TYPE='t_customer_id';
reponse success
set MAX_PERF_FILTER_FN='e(x,''C1'')';
reponse success
refresh_force dirty view;
reponse success
desc view callback like(1,'sales');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_sales 3 7 n n n 10 0 13 13 0 0
select customer_id,count(*) from v_sales group by customer_id;
customer_id count(*) C1 3
select sales.* from v_sales;
item_id customer_id sales_date sales_qty line_id packaging_id artA C1 20191231 5 ID01 box1 artB C1 20191231 4 ID03 # artA C1 20191231 5 ID06 box1
set MAX_PERF_FILTER_COL_TYPE='-1';
reponse success
refresh_force dirty view;
reponse success
select customer_id,count(*) from v_sales group by customer_id;
customer_id count(*) C1 3 C2 4
countdistinct & high sparsity
Parameters: SEQUENCE_COLUMNS & SEQUENCE_COLUMN_COMPANIONS & USE_INDEX_WITH_SORT_LIMIT & REPLACE_COUNTDISTINCT_BY_COUNTSEQUENCE
SEQUENCE_COLUMNS will tell SB to sort the lines according to a given column
set SEQUENCE_COLUMNS='customer_id';
reponse success
--the view must be refresh, otherwise sql will fail refresh_force dirty view;
reponse success
--we can see that lines have a new order, that can be seen with no_index tag select --#SB no_cache no_index customer_id, line_id, sales#item_id from v_sales and item_id in ('artA','artB') ;
customer_id line_id sales#item_id C1 ID01 artA C1 ID03 artB C1 ID06 artA C2 ID02 artB C2 ID07 artA
--and countsequence(customer_id) has changed select --#SB no_cache countsequence(customer_id) from v_sales and item_id in ('artA','artB') ;
countsequence(customer_id) 2
--index read will see lines in this order select --#SB no_cache use_index item_id, customer_id from v_sales and item_id in ('artA','artB') ;
item_id customer_id artA C1 artA C1 artA C2 artB C1 artB C2
--which is why index read will need a resort operation to get correct countsequence result select --#SB no_cache explain use_index log_verbose countsequence(customer_id) from v_sales and item_id in ('artA','artB') callback like(1,'sort') ;
logs
--but this sort operation can be long --some dimensions are functionaly liked to a column --common case is transaction_id and dates, you expect a given transaction (with several lines) to have a unique date --in SB's jargon date dimension is a companion of transaction_id --in such cases (you know something about your data), you can tell SB with param SEQUENCE_COLUMN_COMPANIONS --here we will tell SB that items is a companion of customer_id --this is incorrect, I know, but you will understand what happens without sorting set SEQUENCE_COLUMN_COMPANIONS='customer_id=items';
reponse success
--no more sorting select --#SB no_cache explain use_index log_verbose countsequence(customer_id) from v_sales and item_id in ('artA','artB') callback like(1,'sort') ;
logs
--but result is incorrect select --#SB no_cache use_index countsequence(customer_id) from v_sales and item_id in ('artA','artB') ;
countsequence(customer_id) 4
-- countdistinct is greedy against high sparsity columns -- countsequence is not -- in some context both are equivalent -- so SB will replace countdistinct(the_col) by countsequence(the_col) if: -- SEQUENCE_COLUMNS is set to the_col -- and REPLACE_COUNTDISTINCT_BY_COUNTSEQUENCE=y insert into sales values('artA','CX','20191231',5,'ID11','box1');
reponse success
insert into sales values('artA','CY','20191231',5,'ID11','box1');
reponse success
refresh_online dirty view;
reponse success
select --#SB log_verbose no_cache explain countdistinct(customer_id) from v_sales and item_id in ('artA','artB') callback like(1,'sequence');
logs
set REPLACE_COUNTDISTINCT_BY_COUNTSEQUENCE='y';
reponse success
--no_index context select --#SB log_verbose no_cache no_index explain countdistinct(customer_id) from v_sales and item_id in ('artA','artB') callback like(1,'sequence');
logs
select --#SB log_verbose no_cache no_index countdistinct(customer_id) from v_sales and item_id in ('artA','artB') ;
countdistinct(customer_id) 2
--use_index context select --#SB log_verbose no_cache use_index explain countdistinct(customer_id) from v_sales and item_id in ('artA','artB') callback like(1,'sequence');
logs
select --#SB log_verbose no_cache use_index countdistinct(customer_id) from v_sales and item_id in ('artA','artB') ;
countdistinct(customer_id) 2
--remember that USE_INDEX_WITH_SORT_LIMIT can be used (see before) set SEQUENCE_COLUMNS='-1';
reponse success
refresh_force dirty view;
reponse success
number format/precision
continue_on_error(20);
reponse success
drop view v_foo;
reponse success
drop table foo;
reponse success
refresh dirty view;
reponse success
stop_on_error;
reponse success
create table foo(col number,str text);
reponse success
create view v_foo as select * from foo;
reponse success
set float_precision=1;
reponse success
system '(printf "col,str\n1234,1234\n0.01234,0.01234\n12.43,12.43">./foo.csv)';
reponse
insert into foo select * from file('./foo.csv');
reponse success
set float_precision=4;
reponse success
system '(printf "col,str\n1234,1234\n0.01234,0.01234\n12.43,12.43">./foo.csv)';
reponse
insert into foo select * from file('./foo.csv');
reponse success
refresh dirty view;
reponse success
--number inserted with float_precision 1 are truncated in SB select * from v_foo;
col str 1234 1234 0 0.01234 12.4000 12.43 1234 1234 0.0123 0.01234 12.4300 12.43
--float_precision param also affects the display set float_precision=0;
reponse success
select * from v_foo;
col str 1234 1234 0 0.01234 12 12.43 1234 1234 0 0.01234 12 12.43
--complex notation is allowed, float_precision affects only display system '(printf "col,str\n4.04e-02,4.04e-02">./foo.csv)';
reponse
insert into foo select * from file('./foo.csv');
reponse success
refresh dirty view;
reponse success
select * from v_foo;
col str 1234 1234 0 0.01234 12 12.43 1234 1234 0 0.01234 12 12.43 0 4.04e-02
set float_precision=4;
reponse success
select * from v_foo;
col str 1234 1234 0 0.01234 12.4000 12.43 1234 1234 0.0123 0.01234 12.4300 12.43 0 4.04e-02
set float_precision=2;
reponse success
-- ########################### -- RUNNING shutdown.sql shutdown; -- ########################### -- RUNNING stop_on_error.sql stop_on_error;
reponse success
-- ########################### -- RUNNING clear.sh
/*
sure mode, no confirmation prompt
clearing directory INTERNAL_FILES_DIR (../STORAGE/INT) ...
done
clearing directory MAX_PERF_FILES_DIR (../STORAGE/MAX_PERF) ...
done
clearing directory TRANSAC_FILES_DIR (../STORAGE/TRANSAC) ...
done
*/
-- ########################### -- RUNNING doc_data_init.sql create col_type t_site_id as text;
reponse success
create col_type t_dept_id as text;
reponse success
create col_type t_item_id as text;
reponse success
create col_type t_customer_id as text;
reponse success
create col_type t_date as text;
reponse success
create col_type t_customer_info as text;
reponse success
create col_type end_user as text;
reponse success
create merge table items( item_id t_item_id, art_label text, dept t_dept_id, avg_week_sales number, sales_price number);
reponse success
create merge table customers( customer_id t_customer_id, customer_name text);
reponse success
create table item_tags( item_id t_item_id, tag text);
reponse success
create table fidelity_cards( customer_id t_customer_id, card_label t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create table item_customer_infos( customer_id t_customer_id, item_id t_item_id, info t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create big table sales( item_id t_item_id, customer_id t_customer_id, sales_date t_date, sales_qty number, line_id text, packaging_id t_item_id);
reponse success
create big table inventory( item_id t_item_id, inv_qty number);
reponse success
create view v_items as select * from items;
reponse success
create view v_item_tags as select * from item_tags;
reponse success
create view v_fidelity_cards as select * from fidelity_cards;
reponse success
create view v_item_customer_infos as select * from item_customer_infos;
reponse success
create view v_sales as select * from sales, items, customers where items.item_id=sales.item_id and customers.customer_id=sales.customer_id;
reponse success
create view v_inventory as select * from inventory, items where items.item_id=inventory.item_id;
reponse success
insert into items values('artA','the article A','dept #1',10,1.5);
reponse success
insert into items values('artB','the article B','dept #2',10,3.2);
reponse success
insert into items values('box1','a box','packaging',10,0);
reponse success
insert into customers values('C1','customer #1')('C2','customer #2');
reponse success
insert into item_tags values('artA','tag #1');
reponse success
insert into item_tags values('artA','tag #2');
reponse success
insert into fidelity_cards values('C1','SILVER','20191201','20191231');
reponse success
insert into fidelity_cards values('C1','GOLD','20201201','20201231');
reponse success
insert into item_customer_infos values('C1','artA','FREQUENT BUYER of artA in 2019','20190101','20191231');
reponse success
insert into item_customer_infos values('C1','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into item_customer_infos values('C2','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into sales values('artA','C1','20191231',5,'ID01','box1');
reponse success
insert into sales values('artB','C2','20200102',6,'ID02','');
reponse success
insert into sales values('artB','C1','20191231',4,'ID03','');
reponse success
insert into sales values('artB','C2','20200102',7,'ID04','box1');
reponse success
insert into sales values('artC','C1','20200102',8,'ID05','');
reponse success
insert into sales values('artA','C1','20191231',5,'ID06','box1');
reponse success
insert into sales values('artA','C2','20191231',5,'ID07','box1');
reponse success
insert into inventory values('artA',32);
reponse success
insert into inventory values('artC',12);
reponse success
refresh dirty view;
reponse success
-- ########################### -- RUNNING doc_data_update.sql --Loop/update data
data in stormbase can be read/updated using loop statements and C programsSB C interface
loop table_name(col1, coll2, ...) function function_name(param1, param2, ...) update (updated_col1, updated_col1, ...) where ...Parameters, update clause and where clause are optional
SB will execute 3 C functions
1/ <function_name>_before: optional "before function" called once, where you allocated the object you will need
2/ <function_name>: mandatory "loop function" called once per line fecthed, where you populate the objects
3/ <function_name>_after: optional "after function" called once, where you free memory
See input/output of these functions in common.h
./_SO_CODE/common.h
typedef struct sb_vals {
// SB's version of the SB_VALS structure
int sb_vals_version;
// number of columns
int count;
// i_val of each column (loop function only)
// NULL value: NULL_IVAL (see define here above)
U_INT *i_vals;
// num_val of each column (loop function only)
// NULL value: NAN (C macro) (any float for which isnan evals to true)
float *num_vals;
// str_val of each column (loop function only)
// NULL value: NULL (C macro) or SB_NULL (see define here above)
char **str_vals;
// type of each column, 2 possible values T (text) or N (number)
char *types;
// obvious
char *table_name;
// obvious
char **column_names;
// obvious
char **col_type_names;
// number of distinct i_val of each column
U_INT *col_i_val_counts;
// number of lines in table
// (where clause is not taken into account)
// (partitions are taken into account)
long table_line_count;
// (in/out) type used to update the columns type of each column,
// 3 possible values: T (text) or N (number) or I (i_val)
char *update_types;
// (in/out) whatever pointer you write here in the before function will be passed to the loop/after functions
void *context;
// (in/out) response of the loop statement
char *result;
// (in/out) #threads that SB will create, default is 1, of course your code must be thread safe if you put 2+
int thread_count; //SB_LIB_VERSION >= 1
// current thread (loop function only)
int thread_pos; //SB_LIB_VERSION >= 1
// if you need a mutex in the loop function, you can use this one
// obsolete, do not use (kept for compatibility matters)
pthread_mutex_t loop_mutex; //SB_LIB_VERSION >= 2
// parameters passed to the loop function (parameters and columns are not the same thing!)
char **params; //SB_LIB_VERSION >= 3
// #parameters passed to the loop function (parameters and columns are not the same thing!)
int params_len; //SB_LIB_VERSION >= 3
//in out fields (can be modified in before function):
// thread_count (default 1)
// (in/out) defines which partition should be fetch (default ALL_PARTITIONS, can be set to DIRTY_PARTITIONS_ONLY)
int partitions_scope; //SB_LIB_VERSION >= 4
// (in/out) defines which lines should be fetch (default ALL_LINES, can be set to LINES_INSERTED_SINCE_LAST_REFRESH_DIRTY_ONLY)
int lines_scope; //SB_LIB_VERSION >= 5
// context field behavior:
// Note that the context is global (there is only one "loop context" at a given time: "the current loop context")
// - pass by stormbase to all loop command
// - the before function can set the context (any non NULL value will be considered as the current loop context)
// - the after function can set the context to NULL and usually frees memory at the same time (NULL value will be considered as "setting the current loop context to NULL")
// - any function can manipulate the current loop context, it is standard C manipulation
// - if the before function sets a name to the current loop context, it can be recall later (in computed columns). Of course in that case the after function should not free it.
char *context_name; //SB_LIB_VERSION >= 6
// see structure definition
UTILITY *U; //SB_LIB_VERSION >= 7
// (in/out) optional name of the function to be called to free the context if any (added in v1.16.81)
// this fn must be t_fn_free_context type
char *fn_free_context_name; //SB_LIB_VERSION >= 8
// (in/out) if update_types uses text update (type T), y means SB will free the pointer, default n
// Note: many malloc/free will generate memory fragmentation at OS level, so it is better to manage a buffer in your custom code for text updates
char text_update_sb_free; //SB_LIB_VERSION >= 10
// (in/out) whatever pointer you write here in the before function will be passed to the loop/after functions,
// the work_area can be considered as a second context except that it can't be called after the loop execution
void *work_area; //SB_LIB_VERSION >= 13
// (in) unique line number provide by SB during the fetch, note that line is always < table_line_count
// the goal in to facilitate multi threading, you don't have to manage a counter with a mutex in your code
// Note: a given line in a table may receive a different line_fetch number in distinct loop execution
// Note: in after fn line_fetch will be equal to the number of line fetch
long line_fetch; //SB_LIB_VERSION >= 14
} SB_VALS;
// before function (returns OK or KO)
typedef int (*t_fn_line_before)(SB_VALS *read, SB_VALS *new);
// loop function (returns DELETED or UPDATED or NOT_MODIFIED)
typedef int (*t_fn_line)(SB_VALS *read, SB_VALS *new);
// after function (returns OK or KO)
typedef int (*t_fn_line_after)(SB_VALS *read, SB_VALS *new);
// free function
typedef void (*t_fn_free_context)(void *context);
//basic read
./_SO_CODE/Z_doc_loop_AA.c
#include "./common.h"
int fn1_before(SB_VALS* read, SB_VALS* new) {
printf("## hello from fn1_before\n" );
read->thread_count = 2;
return OK;
}
pthread_mutex_t my_mutex = PTHREAD_MUTEX_INITIALIZER;
int fn1(SB_VALS* read, SB_VALS* new) {
printf("## hello from fn1 (thread_pos %d) : " , read->thread_pos);
for (int i = 0; i < read-> count; i++) {
if (read->types[i] == 'T') {
printf("%s=%s (ival %u)" , read->column_names[i], read->str_vals[i], read->i_vals[i]);
} else if (read->types[i] == 'N') {
printf("%s=%.2f (ival %u)" , read->column_names[i], read->num_vals[i], read->i_vals[i]);
}
if (i != read->count - 1) {
printf(", " );
}
}
printf("\n" );
return NOT_MODIFIED;
}
int fn1_after(SB_VALS* read, SB_VALS* new) {
printf("## hello from fn1_after\n" );
return OK;
}
set SO_FILE_NAME='Z_doc_loop_AA.so';
reponse success
refresh dirty view;
reponse success
--ACCEPT_DIFF_START loop sales(item_id, sales_qty, line_id) function fn1; hello from fn1_before hello from fn1 (thread_pos 1) : item_id=artB (ival 12), sales_qty=4.00 (ival 12), line_id=ID03 (ival 12) hello from fn1 (thread_pos 1) : item_id=artB (ival 12), sales_qty=7.00 (ival 13), line_id=ID04 (ival 13) hello from fn1 (thread_pos 0) : item_id=artA (ival 11), sales_qty=5.00 (ival 10), line_id=ID01 (ival 10) hello from fn1 (thread_pos 1) : item_id=artC (ival 14), sales_qty=8.00 (ival 14), line_id=ID05 (ival 14) hello from fn1 (thread_pos 0) : item_id=artB (ival 12), sales_qty=6.00 (ival 11), line_id=ID02 (ival 11) hello from fn1 (thread_pos 1) : item_id=artA (ival 11), sales_qty=5.00 (ival 10), line_id=ID06 (ival 15) hello from fn1 (thread_pos 0) : item_id=artA (ival 11), sales_qty=5.00 (ival 10), line_id=ID07 (ival 16) hello from fn1_after
LOOP_RESULT DONE
--ACCEPT_DIFF_ENDbasic update
./_SO_CODE/Z_doc_loop_BB.c
#include "./common.h"
int fn1_before(SB_VALS* read, SB_VALS* new) {
read->thread_count = 2;
int *c = malloc(sizeof(int));
*c = 99;
read->context = c;
new->update_types[0] = 'T';
return OK;
}
char txt_th0[20];
char txt_th1[20];
pthread_mutex_t my_mutex = PTHREAD_MUTEX_INITIALIZER;
int fn1(SB_VALS* read, SB_VALS* new) {
int *c = read->context;
char *txt = read->thread_pos == 0 ? txt_th0 : txt_th1;
sprintf(txt, "NEW_ID_%d" , *c);
*c = *c - 1;
new->str_vals[0] = txt;
return UPDATED;
}
int fn1_after(SB_VALS* read, SB_VALS* new) {
printf("## hello from fn1_after\n" );
free(read->context);
return OK;
}
set SO_FILE_NAME='Z_doc_loop_BB.so';
reponse success
refresh dirty view;
reponse success
select item_id, sales_qty, line_id from v_sales cb sort(1,'asc');
item_id sales_qty line_id # 8 ID05 artA 5 ID06 artA 5 ID01 artA 5 ID07 artB 6 ID02 artB 4 ID03 artB 7 ID04
loop sales(item_id, sales_qty) function fn1 update(line_id) where item_id='artA'; hello from fn1_after
LOOP_RESULT DONE
refresh dirty view;
reponse success
select item_id, sales_qty, line_id from v_sales cb sort(1,'asc');
item_id sales_qty line_id # 8 ID05 artA 5 NEW_ID_98 artA 5 NEW_ID_99 artA 5 NEW_ID_97 artB 6 ID02 artB 4 ID03 artB 7 ID04
passing parameters
./_SO_CODE/Z_doc_loop_AB.c
#include "./common.h"
int fn1_before(SB_VALS* read, SB_VALS* new) {
printf("## hello from fn1_before\n" );
for(int i=0;iparams_len;i++){
printf("## fn1_before param %d is %s\n" ,i+1,read->params[i]);
}
read->thread_count = 2;
return OK;
}
pthread_mutex_t my_mutex = PTHREAD_MUTEX_INITIALIZER;
int fn1(SB_VALS* read, SB_VALS* new) {
return NOT_MODIFIED;
}
int fn1_after(SB_VALS* read, SB_VALS* new) {
printf("## hello from fn1_after\n" );
return OK;
}
set SO_FILE_NAME='Z_doc_loop_AB.so';
reponse success
refresh dirty view;
reponse success
loop sales(item_id, sales_qty, line_id) function fn1('val1','val2'); hello from fn1_before fn1_before param 1 is val1 fn1_before param 2 is val2 hello from fn1_after
LOOP_RESULT DONE
--ACCEPT_DIFF_STARTmutex
./_SO_CODE/Z_doc_loop_without_mutex.c
#include "./common.h"
int fn1_before(SB_VALS* read, SB_VALS* new) {
read->thread_count = 2;
return OK;
}
pthread_mutex_t my_mutex = PTHREAD_MUTEX_INITIALIZER;
int fn1(SB_VALS* read, SB_VALS* new) {
int r=rand()%1000000;
printf("## fn1 A %p %d\n" ,&r,read->thread_pos);
usleep(r);
printf("## fn1 B\n" );
return NOT_MODIFIED;
}
int fn1_after(SB_VALS* read, SB_VALS* new) {
printf("## hello from fn1_after\n" );
return OK;
}
set SO_FILE_NAME='Z_doc_loop_without_mutex.so';
reponse success
refresh dirty view;
reponse success
loop sales(item_id, sales_qty) function fn1; fn1 A 0x70000d48ad2c 0 fn1 A 0x70000d50dd2c 1 fn1 B fn1 A 0x70000d48ad2c 0 fn1 B fn1 A 0x70000d50dd2c 1 fn1 B fn1 A 0x70000d48ad2c 0 fn1 B fn1 A 0x70000d48ad2c 0 fn1 B fn1 A 0x70000d48ad2c 0 fn1 B fn1 B hello from fn1_after
LOOP_RESULT DONE
./_SO_CODE/Z_doc_loop_with_mutex.c
#include "./common.h"
int fn1_before(SB_VALS* read, SB_VALS* new) {
read->thread_count = 2;
return OK;
}
pthread_mutex_t my_mutex = PTHREAD_MUTEX_INITIALIZER;
int fn1(SB_VALS* read, SB_VALS* new) {
int r=rand()%1000000;
pthread_mutex_lock(&my_mutex);
printf("## fn1 A %p %d\n" ,&r,read->thread_pos);
usleep(r);
printf("## fn1 B\n" );
pthread_mutex_unlock(&my_mutex);
return NOT_MODIFIED;
}
int fn1_after(SB_VALS* read, SB_VALS* new) {
printf("## hello from fn1_after\n" );
return OK;
}
set SO_FILE_NAME='Z_doc_loop_with_mutex.so';
reponse success
refresh dirty view;
reponse success
loop sales(item_id, sales_qty) function fn1; fn1 A 0x70000d48ad2c 0 fn1 B fn1 A 0x70000d48ad2c 0 fn1 B fn1 A 0x70000d48ad2c 0 fn1 B fn1 A 0x70000d48ad2c 0 fn1 B fn1 A 0x70000d50dd2c 1 fn1 B fn1 A 0x70000d48ad2c 0 fn1 B fn1 A 0x70000d50dd2c 1 fn1 B hello from fn1_after
LOOP_RESULT DONE
--ACCEPT_DIFF_ENDstandard update functions
select item_id,sales#customer_id from v_sales cb sort(1,'asc');
item_id sales#customer_id # C1 artA C1 artA C1 artA C2 artB C2 artB C1 artB C2
create table customer_update(item_id t_item_id, new_customer_id t_customer_id,new_sales_qty number,item_id_new t_item_id);
reponse success
insert into customer_update values('artA','C_artA',123.45,'??');
reponse success
--fn_build_idx1 loop customer_update(item_id,new_customer_id) function fn_build_idx1;
LOOP_RESULT DONE
desc context;
context_name is_drop_yn IDX1#item_id->new_customer_id n
loop sales(item_id) function fn_update_idx1('IDX1#item_id->new_customer_id') update(customer_id);
LOOP_RESULT DONE
refresh dirty view;
reponse success
select item_id,sales#customer_id from v_sales cb sort(1,'asc');
item_id sales#customer_id # C1 artA C_artA artA C_artA artA C_artA artB C2 artB C1 artB C2
--fn_build_idx1_num loop customer_update(item_id,new_sales_qty) function fn_build_idx1_num;
LOOP_RESULT DONE
desc context;
context_name is_drop_yn IDX1#item_id->new_customer_id n IDX1_NUM#item_id->new_sales_qty n
loop sales(item_id) function fn_update_idx1_num('IDX1_NUM#item_id->new_sales_qty') update(sales_qty);
LOOP_RESULT DONE
refresh dirty view;
reponse success
select item_id,sales_qty from v_sales cb sort(1,'asc');
item_id sales_qty # 0 artA 123.450 artA 123.450 artA 123.450 artB 0 artB 0 artB 0
--fn_copy_col create view v_customer_update as select * from customer_update;
reponse success
refresh dirty view;
reponse success
select item_id,item_id_new from v_customer_update;
item_id item_id_new artA ??
loop customer_update(item_id) function fn_copy_col update(item_id_new);
LOOP_RESULT DONE
refresh dirty view;
reponse success
select item_id,item_id_new from v_customer_update;
item_id item_id_new artA artA
skip
If before fn returns SKIP, the rest of the loop is skip
loop sales(item_id, sales_qty) function fn_skip;
reponse loop skip
-- ########################### -- RUNNING shutdown.sql shutdown; -- ########################### -- RUNNING stop_on_error.sql stop_on_error;
reponse success
-- ########################### -- RUNNING clear.sh
/*
sure mode, no confirmation prompt
clearing directory INTERNAL_FILES_DIR (../STORAGE/INT) ...
done
clearing directory MAX_PERF_FILES_DIR (../STORAGE/MAX_PERF) ...
done
clearing directory TRANSAC_FILES_DIR (../STORAGE/TRANSAC) ...
done
*/
-- ########################### -- RUNNING doc_data_init.sql create col_type t_site_id as text;
reponse success
create col_type t_dept_id as text;
reponse success
create col_type t_item_id as text;
reponse success
create col_type t_customer_id as text;
reponse success
create col_type t_date as text;
reponse success
create col_type t_customer_info as text;
reponse success
create col_type end_user as text;
reponse success
create merge table items( item_id t_item_id, art_label text, dept t_dept_id, avg_week_sales number, sales_price number);
reponse success
create merge table customers( customer_id t_customer_id, customer_name text);
reponse success
create table item_tags( item_id t_item_id, tag text);
reponse success
create table fidelity_cards( customer_id t_customer_id, card_label t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create table item_customer_infos( customer_id t_customer_id, item_id t_item_id, info t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create big table sales( item_id t_item_id, customer_id t_customer_id, sales_date t_date, sales_qty number, line_id text, packaging_id t_item_id);
reponse success
create big table inventory( item_id t_item_id, inv_qty number);
reponse success
create view v_items as select * from items;
reponse success
create view v_item_tags as select * from item_tags;
reponse success
create view v_fidelity_cards as select * from fidelity_cards;
reponse success
create view v_item_customer_infos as select * from item_customer_infos;
reponse success
create view v_sales as select * from sales, items, customers where items.item_id=sales.item_id and customers.customer_id=sales.customer_id;
reponse success
create view v_inventory as select * from inventory, items where items.item_id=inventory.item_id;
reponse success
insert into items values('artA','the article A','dept #1',10,1.5);
reponse success
insert into items values('artB','the article B','dept #2',10,3.2);
reponse success
insert into items values('box1','a box','packaging',10,0);
reponse success
insert into customers values('C1','customer #1')('C2','customer #2');
reponse success
insert into item_tags values('artA','tag #1');
reponse success
insert into item_tags values('artA','tag #2');
reponse success
insert into fidelity_cards values('C1','SILVER','20191201','20191231');
reponse success
insert into fidelity_cards values('C1','GOLD','20201201','20201231');
reponse success
insert into item_customer_infos values('C1','artA','FREQUENT BUYER of artA in 2019','20190101','20191231');
reponse success
insert into item_customer_infos values('C1','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into item_customer_infos values('C2','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into sales values('artA','C1','20191231',5,'ID01','box1');
reponse success
insert into sales values('artB','C2','20200102',6,'ID02','');
reponse success
insert into sales values('artB','C1','20191231',4,'ID03','');
reponse success
insert into sales values('artB','C2','20200102',7,'ID04','box1');
reponse success
insert into sales values('artC','C1','20200102',8,'ID05','');
reponse success
insert into sales values('artA','C1','20191231',5,'ID06','box1');
reponse success
insert into sales values('artA','C2','20191231',5,'ID07','box1');
reponse success
insert into inventory values('artA',32);
reponse success
insert into inventory values('artC',12);
reponse success
refresh dirty view;
reponse success
-- ########################### -- RUNNING doc_computed_columns.sql --Computed columns
Basic types using loop function fn_computed_col
No coding an no parameter is necessary in 2 cases (most common cases):
1/ text 1 to 1 relationship, get the department of an item (type A)
2/ coefficient 1 to 1 relationship, get price from qty using item price (type B)
desc table items;
table_name column_name column_type col_type_name items item_id text t_item_id items art_label text sys#type#items#art_label items dept text t_dept_id items avg_week_sales number sys#type#items#avg_week_sales items sales_price number sys#type#items#sales_price
desc table sales;
table_name column_name column_type col_type_name sales item_id text t_item_id sales customer_id text t_customer_id sales sales_date text t_date sales sales_qty number sys#type#sales#sales_qty sales line_id text sys#type#sales#line_id sales packaging_id text t_item_id
select item_id,dept,sales_price from v_items cb sort(1,'asc');
item_id dept sales_price artA dept #1 1.500 artB dept #2 3.200 box1 packaging 0
--type A loop items(item_id,dept) function fn_computed_col('get_dept','A');
LOOP_RESULT DONE
refresh computed_column;
reponse success
--no parameter defaults to item_id (first column of loop) select line_id,item_id,packaging_id,get_dept() from v_sales cb sort(1,'asc');
line_id item_id packaging_id get_dept() ID01 artA box1 dept #1 ID02 artB # dept #2 ID03 artB # dept #2 ID04 artB box1 dept #2 ID05 # # # ID06 artA box1 dept #1 ID07 artA box1 dept #1
--using reverse index select line_id,item_id,packaging_id,get_dept() from v_sales and get_dept()='dept #1' cb sort(1,'asc');
line_id item_id packaging_id get_dept() ID01 artA box1 dept #1 ID06 artA box1 dept #1 ID07 artA box1 dept #1
select line_id,item_id,packaging_id,get_dept(item_id) from v_sales cb sort(1,'asc');
line_id item_id packaging_id get_dept(item_id) ID01 artA box1 dept #1 ID02 artB # dept #2 ID03 artB # dept #2 ID04 artB box1 dept #2 ID05 # # # ID06 artA box1 dept #1 ID07 artA box1 dept #1
select line_id,item_id,packaging_id,get_dept(packaging_id) from v_sales cb sort(1,'asc');
line_id item_id packaging_id get_dept(packaging_id) ID01 artA box1 packaging ID02 artB # # ID03 artB # # ID04 artB box1 packaging ID05 # # # ID06 artA box1 packaging ID07 artA box1 packaging
select item_id,sales_price from v_items;
item_id sales_price artA 1.500 artB 3.200 box1 0
--type B loop items(item_id,sales_price) function fn_computed_col('mult_by_sales_price','B','default=2.5 toto=1');
LOOP_RESULT DONE
loop items(item_id,sales_price) function fn_computed_col('divide_by_sales_price','B','1/X');
LOOP_RESULT DONE
desc context;
context_name is_drop_yn get_deptA n mult_by_sales_priceB n divide_by_sales_priceB n
refresh computed_column;
reponse success
--no second parameter defaults to item_id (first column of loop) select line_id,item_id,packaging_id,sales_qty,mult_by_sales_price(sales_qty) from v_sales cb sort(1,'asc');
line_id item_id packaging_id sales_qty mult_by_sales_price(sales_qty) ID01 artA box1 5 7.500 ID02 artB # 6 19.200 ID03 artB # 4 12.800 ID04 artB box1 7 22.400 ID05 # # 8 20 ID06 artA box1 5 7.500 ID07 artA box1 5 7.500
select line_id,item_id,packaging_id,sales_qty,mult_by_sales_price(sales_qty,item_id) from v_sales cb sort(1,'asc');
line_id item_id packaging_id sales_qty mult_by_sales_price(sales_qty,item_id) ID01 artA box1 5 7.500 ID02 artB # 6 19.200 ID03 artB # 4 12.800 ID04 artB box1 7 22.400 ID05 # # 8 20 ID06 artA box1 5 7.500 ID07 artA box1 5 7.500
select line_id,item_id,packaging_id,sales_qty,mult_by_sales_price(sales_qty,packaging_id) from v_sales cb sort(1,'asc');
line_id item_id packaging_id sales_qty mult_by_sales_price(sales_qty,packaging_id) ID01 artA box1 5 0 ID02 artB # 6 15 ID03 artB # 4 10 ID04 artB box1 7 0 ID05 # # 8 20 ID06 artA box1 5 0 ID07 artA box1 5 0
--division instead of multiplication select line_id,item_id,packaging_id,sales_qty,divide_by_sales_price(sales_qty) from v_sales cb sort(1,'asc');
line_id item_id packaging_id sales_qty divide_by_sales_price(sales_qty) ID01 artA box1 5 3.333 ID02 artB # 6 1.875 ID03 artB # 4 1.250 ID04 artB box1 7 2.188 ID05 # # 8 0 ID06 artA box1 5 3.333 ID07 artA box1 5 3.333
SB parameter
set COMPUTED_COLUMNS='comp_col1,comp_col2,...'SB C interface
SB needs 2 functions per computed column
1/ <comp_col_name>_before
2/ <comp_col_name>
See input/output of these functions in common.h
./_SO_CODE/common.h
typedef void (*t_fn_computed_column)(U_INT **ivals, float **num_vals, int ivals_len, void *context);
typedef struct computed_col_need {
int needed_col_count;
char **needed_col_names;
} COMPUTED_COL_NEED;
typedef COMPUTED_COL_NEED* (*t_fn_get_needed_columns)(char *param_fn_get_needed_columns, char **available_columns,
int available_columns_len, char **params, int params_len);
typedef struct computed_col_prereq {
//mandatory destination col_type (lower case)
char *destination_col_type_name;
//optional context that will be passed to functions
char *needed_context_name;
//columns needed (needed_col/fn_get_needed_columns)
// - simple case (needed_col!=NULL) : needed_col is used if fn_get_needed_columns is NULL
// - complex case (fn_get_needed_columns!=NULL)
// needed_col is computed this way: needed_col=fn_get_needed_columns(param_fn_get_needed_columns,available_columns,available_columns_len)
COMPUTED_COL_NEED *needed_col;
char *param_fn_get_needed_columns;
t_fn_get_needed_columns fn_get_needed_columns;
//put your error message here, NULL means no error
char *error;
//y/n (default n), if computed column overloads a real column
char priority_over_real_column_yn;
// in simple cases this will trigger an optimized treatment in SB
// defaults to ?
// A means select_contex is an TYPE_A*
// B means select_contex is an TYPE_B*
char select_context_type; // SB_LIB_VERSION >= 9
} COMPUTED_COL_PREREQ;
typedef COMPUTED_COL_PREREQ* (*t_fn_computed_column_before)(UTILITY *U);
//returns a "select_context"
typedef void* (*t_fn_computed_column_before_select)(UTILITY *U, char **params, int params_len, void *context);
typedef void (*t_fn_computed_column_after_select)(UTILITY *U, void *select_context);
typedef struct typeA {
U_INT *ival_needed_2_ival_dest;
U_INT len;
} TYPE_A;
typedef TYPE_A* (*t_fn_computed_column_before_select_typeA)(UTILITY *U, char **params, int params_len, void *context);
typedef void (*t_fn_computed_column_after_select_typeA)(UTILITY *U, TYPE_A *select_context);
typedef struct typeB {
float *ival_needed_2_coef;
U_INT len;
} TYPE_B;
typedef TYPE_B* (*t_fn_computed_column_before_select_typeB)(UTILITY *U, char **params, int params_len, void *context);
typedef void (*t_fn_computed_column_after_select_typeB)(UTILITY *U, TYPE_B *select_context);
COMPUTED_COL_PREREQ* sb_computed_col_prereq_factory();
//priority between computed column and real column
By default real column has priority over a computed column with same name
set COMPUTED_COLUMNS='customer_id';
reponse success
set CPU_COUNT=1;
reponse success
--real will be returned./_SO_CODE/Z_doc_comp_col_not_prio.c
#include "./common.h"
COMPUTED_COL_PREREQ* customer_id_before(UTILITY *U) {
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory();
ret->destination_col_type_name = sb_clone("t_customer_id" );
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED));
ret->needed_col = needed_col;
needed_col->needed_col_count = 1;
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*));
needed_col->needed_col_names[0] = sb_clone("dept" );
return ret;
}
void customer_id(U_INT **ivals, float **num_vals, int ivals_len, void *context) {
U_INT *pin_out = ivals[0];
U_INT idept = *pin_out;
*pin_out = idept == 10 ? NULL_IVAL : 10;
}
COMPUTED_COL_PREREQ* new_customer_id_before(UTILITY *U) {
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory();
ret->destination_col_type_name = sb_clone("t_customer_id" );
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED));
ret->needed_col = needed_col;
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*));
return ret;
}
void new_customer_id(U_INT **ivals, float **num_vals, int ivals_len, void *context) {
//position 0 is "in/out"
U_INT *pin_out = ivals[0];
}
COMPUTED_COL_PREREQ* sales_qty_bucket_before(UTILITY *U) { //BUCK
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory(); //BUCK
ret->destination_col_type_name = sb_clone("t_bucket" ); //BUCK
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED)); //BUCK
ret->needed_col = needed_col; //BUCK
needed_col->needed_col_count = 1; //BUCK
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*)); //BUCK
needed_col->needed_col_names[0] = sb_clone("sales_qty" ); //BUCK
// ret->select_context_type = 'A'; //BUCK
return ret; //BUCK
} //BUCK
void* sales_qty_bucket_before_select_typeA(UTILITY *U, char **params, int params_len, void *context) { //BUCK
TYPE_A *select_context = malloc(sizeof(TYPE_A)); //BUCK
select_context->len = U->fn_get_col_type_ival_count("sys#type#sales#sales_qty" ); //BUCK
select_context->ival_needed_2_ival_dest = malloc(select_context->len * sizeof(U_INT)); //BUCK
for (int i = 0; i < select_context-> len; i++) { //BUCK
select_context->ival_needed_2_ival_dest[i] = 10; //BUCK
} //BUCK
select_context->ival_needed_2_ival_dest[11] = 11; //BUCK
select_context->ival_needed_2_ival_dest[12] = 11; //BUCK
return select_context; //BUCK
} //BUCK
void sales_qty_bucket(U_INT **ivals, float **num_vals, int ivals_len, void *context) { //BUCK
float f = *num_vals[0];
U_INT *ival = ivals[0];
if (f <= 10) {
*ival = 10;
} else {
*ival = 11;
}
} //BUCK
set SO_FILE_NAME='Z_doc_comp_col_not_prio.so';
reponse success
refresh dirty view;
reponse success
select sales#customer_id, customer_id from v_sales;
sales#customer_id customer_id C1 C1 C2 C2 C1 C1 C2 C2 C1 C1 C1 C1 C2 C2
--computed will be returned returned select dept,ival(dept) from v_sales group by dept;
dept ival(dept) dept #1 10 dept #2 11
./_SO_CODE/Z_doc_comp_col_prio.c
#include "./common.h"
COMPUTED_COL_PREREQ* customer_id_before(UTILITY *U) {
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory();
ret->destination_col_type_name = sb_clone("t_customer_id" );
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED));
ret->needed_col = needed_col;
needed_col->needed_col_count = 1;
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*));
needed_col->needed_col_names[0] = sb_clone("dept" );
ret->priority_over_real_column_yn = 'y';
return ret;
}
void customer_id(U_INT **ivals, float **num_vals, int ivals_len, void *context) {
U_INT *pin_out = ivals[0];
U_INT idept = *pin_out;
*pin_out = idept == 10 ? NULL_IVAL : 10;
}
COMPUTED_COL_PREREQ* new_customer_id_before(UTILITY *U) {
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory();
ret->destination_col_type_name = sb_clone("t_customer_id" );
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED));
ret->needed_col = needed_col;
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*));
return ret;
}
void new_customer_id(U_INT **ivals, float **num_vals, int ivals_len, void *context) {
//position 0 is "in/out"
U_INT *pin_out = ivals[0];
}
COMPUTED_COL_PREREQ* sales_qty_bucket_before(UTILITY *U) { //BUCK
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory(); //BUCK
ret->destination_col_type_name = sb_clone("t_bucket" ); //BUCK
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED)); //BUCK
ret->needed_col = needed_col; //BUCK
needed_col->needed_col_count = 1; //BUCK
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*)); //BUCK
needed_col->needed_col_names[0] = sb_clone("sales_qty" ); //BUCK
// ret->select_context_type = 'A'; //BUCK
return ret; //BUCK
} //BUCK
void* sales_qty_bucket_before_select_typeA(UTILITY *U, char **params, int params_len, void *context) { //BUCK
TYPE_A *select_context = malloc(sizeof(TYPE_A)); //BUCK
select_context->len = U->fn_get_col_type_ival_count("sys#type#sales#sales_qty" ); //BUCK
select_context->ival_needed_2_ival_dest = malloc(select_context->len * sizeof(U_INT)); //BUCK
for (int i = 0; i < select_context-> len; i++) { //BUCK
select_context->ival_needed_2_ival_dest[i] = 10; //BUCK
} //BUCK
select_context->ival_needed_2_ival_dest[11] = 11; //BUCK
select_context->ival_needed_2_ival_dest[12] = 11; //BUCK
return select_context; //BUCK
} //BUCK
void sales_qty_bucket(U_INT **ivals, float **num_vals, int ivals_len, void *context) { //BUCK
float f = *num_vals[0];
U_INT *ival = ivals[0];
if (f <= 10) {
*ival = 10;
} else {
*ival = 11;
}
} //BUCK
set SO_FILE_NAME='Z_doc_comp_col_prio.so';
reponse success
refresh dirty view;
reponse success
select sales#customer_id, customer_id from v_sales;
sales#customer_id customer_id C1 # C2 NO_DATA C1 NO_DATA C2 NO_DATA C1 # C1 NO_DATA C2 #
computed column basics
New_customer_id is a computed text column
Its destination col_type is t_customer_id
We are going to return always the same value
So we don't need other columns to compute new_customer_id in this basic case
Please note that needed_col_count can't be zero, because on the in/out value at first position
Hence needed_col_names=["dept"]
set COMPUTED_COLUMNS='new_customer_id';
reponse success
set CPU_COUNT=1;
reponse success
set SO_FILE_NAME='Z_doc_comp_col_all_null.so';
reponse success
refresh dirty view;
reponse success
select customer_id, ival(customer_id) from v_sales group by customer_id callback sort(1,'asc') ;
customer_id ival(customer_id) C1 11 C2 12
select item_id, ival(item_id) from v_sales group by item_id callback sort(1,'asc') ;
item_id ival(item_id) artA 11 artB 12
--new_customer_id will always be null./_SO_CODE/Z_doc_comp_col_all_null.c
#include "./common.h"
COMPUTED_COL_PREREQ* new_customer_id_before(UTILITY *U) {
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory();
ret->destination_col_type_name = sb_clone("t_customer_id" );
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED));
ret->needed_col = needed_col;
needed_col->needed_col_count = 1; //only dept only (not really needed)
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*));
needed_col->needed_col_names[0] = sb_clone("dept" ); //not really needed
return ret;
}
void new_customer_id(U_INT **ivals, float **num_vals, int ivals_len, void *context) {
//position 0 is "in/out"
U_INT *pin_out = ivals[0];
*pin_out = NULL_IVAL; //update to null value
}
COMPUTED_COL_PREREQ* sales_qty_bucket_before(UTILITY *U) { //BUCK
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory(); //BUCK
ret->destination_col_type_name = sb_clone("t_bucket" ); //BUCK
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED)); //BUCK
ret->needed_col = needed_col; //BUCK
needed_col->needed_col_count = 1; //BUCK
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*)); //BUCK
needed_col->needed_col_names[0] = sb_clone("sales_qty" ); //BUCK
// ret->select_context_type = 'A'; //BUCK
return ret; //BUCK
} //BUCK
void* sales_qty_bucket_before_select_typeA(UTILITY *U, char **params, int params_len, void *context) { //BUCK
TYPE_A *select_context = malloc(sizeof(TYPE_A)); //BUCK
select_context->len = U->fn_get_col_type_ival_count("sys#type#sales#sales_qty" ); //BUCK
select_context->ival_needed_2_ival_dest = malloc(select_context->len * sizeof(U_INT)); //BUCK
for (int i = 0; i < select_context-> len; i++) { //BUCK
select_context->ival_needed_2_ival_dest[i] = 10; //BUCK
} //BUCK
select_context->ival_needed_2_ival_dest[11] = 11; //BUCK
select_context->ival_needed_2_ival_dest[12] = 11; //BUCK
return select_context; //BUCK
} //BUCK
void sales_qty_bucket(U_INT **ivals, float **num_vals, int ivals_len, void *context) { //BUCK
float f = *num_vals[0];
U_INT *ival = ivals[0];
if (f <= 10) {
*ival = 10;
} else {
*ival = 11;
}
} //BUCK
set CPU_COUNT=1;
reponse success
desc table;
table_name column_count line_count has_delete has_update parent_view_hidden items 5 3 n n n customers 2 2 n n n item_tags 2 2 n n n fidelity_cards 4 2 n n n item_customer_infos 5 3 n n n sales 6 7 n n n inventory 2 2 n n n
desc computed_column;
comp_col_name error new_customer_id no error get_dept no error mult_by_sales_price no error divide_by_sales_price no error
select new_customer_id from v_sales group by new_customer_id;
new_customer_id #
--#SB no_index select line_id,new_customer_id,new_customer_id from v_sales and new_customer_id=null cb sort(1,'asc');
line_id new_customer_id new_customer_id ID01 # # ID02 # # ID03 # # ID04 # # ID05 # # ID06 # # ID07 # #
--#SB use_index select line_id,new_customer_id,new_customer_id from v_sales and new_customer_id=null cb sort(1,'asc');
line_id new_customer_id new_customer_id ID01 # # ID02 # # ID03 # # ID04 # # ID05 # # ID06 # # ID07 # #
--new_customer_id will be equal to the first customer_id created (C1 with ival=11) ./_SO_CODE/Z_doc_comp_col_first_value.c
#include "./common.h"
COMPUTED_COL_PREREQ* new_customer_id_before(UTILITY *U) {
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory();
ret->destination_col_type_name = sb_clone("t_customer_id" );
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED));
ret->needed_col = needed_col;
needed_col->needed_col_count = 1; //only dept only (not really needed)
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*));
needed_col->needed_col_names[0] = sb_clone("dept" ); //not really needed
return ret;
}
void new_customer_id(U_INT **ivals, float **num_vals, int ivals_len, void *context) {
//position 0 is "in/out"
U_INT *pin_out = ivals[0];
*pin_out = 11; //update to ival 11
}
COMPUTED_COL_PREREQ* sales_qty_bucket_before(UTILITY *U) { //BUCK
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory(); //BUCK
ret->destination_col_type_name = sb_clone("t_bucket" ); //BUCK
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED)); //BUCK
ret->needed_col = needed_col; //BUCK
needed_col->needed_col_count = 1; //BUCK
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*)); //BUCK
needed_col->needed_col_names[0] = sb_clone("sales_qty" ); //BUCK
// ret->select_context_type = 'A'; //BUCK
return ret; //BUCK
} //BUCK
void* sales_qty_bucket_before_select_typeA(UTILITY *U, char **params, int params_len, void *context) { //BUCK
TYPE_A *select_context = malloc(sizeof(TYPE_A)); //BUCK
select_context->len = U->fn_get_col_type_ival_count("sys#type#sales#sales_qty" ); //BUCK
select_context->ival_needed_2_ival_dest = malloc(select_context->len * sizeof(U_INT)); //BUCK
for (int i = 0; i < select_context-> len; i++) { //BUCK
select_context->ival_needed_2_ival_dest[i] = 10; //BUCK
} //BUCK
select_context->ival_needed_2_ival_dest[11] = 11; //BUCK
select_context->ival_needed_2_ival_dest[12] = 11; //BUCK
return select_context; //BUCK
} //BUCK
void sales_qty_bucket(U_INT **ivals, float **num_vals, int ivals_len, void *context) { //BUCK
float f = *num_vals[0];
U_INT *ival = ivals[0];
if (f <= 10) {
*ival = 10;
} else {
*ival = 11;
}
} //BUCK
set SO_FILE_NAME='Z_doc_comp_col_first_value.so';
reponse success
refresh dirty view;
reponse success
select line_id,new_customer_id from v_sales;
line_id new_customer_id ID01 C1 ID02 C1 ID03 C1 ID04 C1 ID06 C1 ID05 C1 ID07 C1
computed columns with analytic function
./_SO_CODE/Z_doc_comp_col_with_pareto_col.c
#include "./common.h"
COMPUTED_COL_PREREQ* new_customer_id_before(UTILITY *U) {
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory();
ret->destination_col_type_name = sb_clone("t_customer_id" );
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED));
ret->needed_col = needed_col;
needed_col->needed_col_count = 1; //only dept only (not really needed)
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*));
needed_col->needed_col_names[0] = sb_clone("dept" ); //not really needed
needed_col->needed_col_names[0] = sb_clone("line_id" ); //pareto column
ret->destination_col_type_name = sb_clone("sys#type#sales#line_id" ); //pareto column
return ret;
}
void new_customer_id(U_INT **ivals, float **num_vals, int ivals_len, void *context) {
//position 0 is "in/out"
U_INT *pin_out = ivals[0];
*pin_out = 11; //update to ival 11
}
COMPUTED_COL_PREREQ* sales_qty_bucket_before(UTILITY *U) { //BUCK
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory(); //BUCK
ret->destination_col_type_name = sb_clone("t_bucket" ); //BUCK
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED)); //BUCK
ret->needed_col = needed_col; //BUCK
needed_col->needed_col_count = 1; //BUCK
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*)); //BUCK
needed_col->needed_col_names[0] = sb_clone("sales_qty" ); //BUCK
// ret->select_context_type = 'A'; //BUCK
return ret; //BUCK
} //BUCK
void* sales_qty_bucket_before_select_typeA(UTILITY *U, char **params, int params_len, void *context) { //BUCK
TYPE_A *select_context = malloc(sizeof(TYPE_A)); //BUCK
select_context->len = U->fn_get_col_type_ival_count("sys#type#sales#sales_qty" ); //BUCK
select_context->ival_needed_2_ival_dest = malloc(select_context->len * sizeof(U_INT)); //BUCK
for (int i = 0; i < select_context-> len; i++) { //BUCK
select_context->ival_needed_2_ival_dest[i] = 10; //BUCK
} //BUCK
select_context->ival_needed_2_ival_dest[11] = 11; //BUCK
select_context->ival_needed_2_ival_dest[12] = 11; //BUCK
return select_context; //BUCK
} //BUCK
void sales_qty_bucket(U_INT **ivals, float **num_vals, int ivals_len, void *context) { //BUCK
float f = *num_vals[0];
U_INT *ival = ivals[0];
if (f <= 10) {
*ival = 10;
} else {
*ival = 11;
}
} //BUCK
set SO_FILE_NAME='Z_doc_comp_col_with_pareto_col.so';
reponse success
refresh dirty view;
reponse success
select customer_id, new_customer_id from v_sales;
customer_id new_customer_id C1 ID02 C2 ID02 C1 ID02 C2 ID02 C1 ID02 C1 ID02 C2 ID02
select p(new_customer_id) from v_sales function fn_custom( '(void* c, U_INT thread_pos, U_INT iline, int key){printf("## fn_custom ival: %d\n",key);float *f=c; *f+=1; return 0.;}', 'fn_key', fn_num_before,fn_num_after ) ; fn_custom ival: 11 fn_custom ival: 11 fn_custom ival: 11 fn_custom ival: 11 fn_custom ival: 11 fn_custom ival: 11 fn_custom ival: 11
num 7
select p(line_id) from v_sales function fn_custom( '(void* c, U_INT thread_pos, U_INT iline, int key){printf("## fn_custom ival: %d\n",key);float *f=c; *f+=1; return 0.;}', 'fn_key', fn_num_before,fn_num_after ) ; fn_custom ival: 10 fn_custom ival: 11 fn_custom ival: 12 fn_custom ival: 13 fn_custom ival: 15 fn_custom ival: 14 fn_custom ival: 16
num 7
computed columns with param
--new_customer_id will be equal to customer_id pass in parameter (C1/ival=10 in param is A, C2/ival=11 in param is B) ./_SO_CODE/Z_doc_comp_col_with_param.c
#include "./common.h"
COMPUTED_COL_PREREQ* new_customer_id_before(UTILITY *U) {
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory();
ret->destination_col_type_name = sb_clone("t_customer_id" );
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED));
ret->needed_col = needed_col;
needed_col->needed_col_count = 1; //only dept only (not really needed)
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*));
needed_col->needed_col_names[0] = sb_clone("dept" ); //not really needed
return ret;
}
void* new_customer_id_before_select(UTILITY *U, char **params, int params_len, void *context) {
U_INT *select_context = malloc(sizeof(U_INT));
if (strcmp(params[0], "A" ) == 0) {
*select_context = 10;
} else if (strcmp(params[0], "B" ) == 0) {
*select_context = 11;
} else {
*select_context = NULL_IVAL;
}
return select_context;
}
void new_customer_id_after_select(UTILITY *U, void *select_context) {
free(select_context);
}
void new_customer_id(U_INT **ivals, float **num_vals, int ivals_len, void *context) {
//position 0 is "in/out"
U_INT *pin_out = ivals[0];
U_INT ival_context = *(U_INT*) context;
*pin_out = ival_context;
}
COMPUTED_COL_PREREQ* sales_qty_bucket_before(UTILITY *U) { //BUCK
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory(); //BUCK
ret->destination_col_type_name = sb_clone("t_bucket" ); //BUCK
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED)); //BUCK
ret->needed_col = needed_col; //BUCK
needed_col->needed_col_count = 1; //BUCK
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*)); //BUCK
needed_col->needed_col_names[0] = sb_clone("sales_qty" ); //BUCK
// ret->select_context_type = 'A'; //BUCK
return ret; //BUCK
} //BUCK
void* sales_qty_bucket_before_select_typeA(UTILITY *U, char **params, int params_len, void *context) { //BUCK
TYPE_A *select_context = malloc(sizeof(TYPE_A)); //BUCK
select_context->len = U->fn_get_col_type_ival_count("sys#type#sales#sales_qty" ); //BUCK
select_context->ival_needed_2_ival_dest = malloc(select_context->len * sizeof(U_INT)); //BUCK
for (int i = 0; i < select_context-> len; i++) { //BUCK
select_context->ival_needed_2_ival_dest[i] = 10; //BUCK
} //BUCK
select_context->ival_needed_2_ival_dest[11] = 11; //BUCK
select_context->ival_needed_2_ival_dest[12] = 11; //BUCK
return select_context; //BUCK
} //BUCK
void sales_qty_bucket(U_INT **ivals, float **num_vals, int ivals_len, void *context) { //BUCK
float f = *num_vals[0];
U_INT *ival = ivals[0];
if (f <= 10) {
*ival = 10;
} else {
*ival = 11;
}
} //BUCK
set SO_FILE_NAME='Z_doc_comp_col_with_param.so';
reponse success
refresh dirty view;
reponse success
select line_id, new_customer_id('A'), new_customer_id('B'), new_customer_id('C') from v_sales;
line_id new_customer_id('A') new_customer_id('B') new_customer_id('C') ID01 NO_DATA C1 # ID02 NO_DATA C1 # ID03 NO_DATA C1 # ID04 NO_DATA C1 # ID06 NO_DATA C1 # ID05 NO_DATA C1 # ID07 NO_DATA C1 #
select new_customer_id('A') as col1, new_customer_id('B') as col2, count(*) from v_sales group by new_customer_id('A'), new_customer_id('B');
col1 col2 count(*) NO_DATA C1 7
select count(*) from v_sales and new_customer_id('A')='C1';
count(*)
select new_customer_id('A'),list(new_customer_id('B')) from v_sales group by new_customer_id('A');
new_customer_id('A') list(new_customer_id('B')) NO_DATA C1
select new_customer_id('A'),count(*) from v_sales group by new_customer_id('A');
new_customer_id('A') count(*) NO_DATA 7
optimized contexts (type A)
select_context_type A
--new_customer_id will be equal to customer_id pass in parameter (C1/ival=10 in param is A, C2/ival=11 in param is B) ./_SO_CODE/Z_doc_comp_col_with_param_typeA.c
#include "./common.h"
COMPUTED_COL_PREREQ* new_customer_id_before(UTILITY *U) {
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory();
ret->destination_col_type_name = sb_clone("t_customer_id" );
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED));
ret->needed_col = needed_col;
needed_col->needed_col_count = 1;
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*));
needed_col->needed_col_names[0] = sb_clone("item_id" );
needed_col->needed_col_names[0] = sb_clone("line_id" ); // ptaudou
ret->select_context_type = 'A';
return ret;
}
TYPE_A* new_customer_id_before_select_typeA(UTILITY *U, char **params, int params_len, void *context) {
TYPE_A *select_context = malloc(sizeof(TYPE_A));
select_context->len = U->fn_get_col_type_ival_count("t_item_id" );
select_context->len = U->fn_get_col_type_ival_count("sys#type#sales#line_id" ); // ptaudou
select_context->ival_needed_2_ival_dest = malloc(select_context->len * sizeof(U_INT));
U_INT ival;
if (strcmp(params[0], "A" ) == 0) {
ival = 10;
} else if (strcmp(params[0], "B" ) == 0) {
ival = 11;
} else {
ival = NULL_IVAL;
}
for (int i = 0; i < select_context-> len; i++) {
if (i == 11) {
select_context->ival_needed_2_ival_dest[i] = ival;
} else {
select_context->ival_needed_2_ival_dest[i] = NULL_IVAL;
}
}
return select_context;
}
void new_customer_id_after_select_typeA(UTILITY *U, U_INT *select_context) {
free(select_context);
}
void new_customer_id(U_INT **ivals, float **num_vals, int ivals_len, void *context) {
//position 0 is "in/out"
U_INT *pin_out = ivals[0];
printf("## CALL new_customer_id pin_out %p, should not happen in type A\n" , pin_out);
exit(-1);
*pin_out = NULL_IVAL;
}
COMPUTED_COL_PREREQ* sales_qty_bucket_before(UTILITY *U) { //BUCK
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory(); //BUCK
ret->destination_col_type_name = sb_clone("t_bucket" ); //BUCK
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED)); //BUCK
ret->needed_col = needed_col; //BUCK
needed_col->needed_col_count = 1; //BUCK
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*)); //BUCK
needed_col->needed_col_names[0] = sb_clone("sales_qty" ); //BUCK
// ret->select_context_type = 'A'; //BUCK
return ret; //BUCK
} //BUCK
void* sales_qty_bucket_before_select_typeA(UTILITY *U, char **params, int params_len, void *context) { //BUCK
TYPE_A *select_context = malloc(sizeof(TYPE_A)); //BUCK
select_context->len = U->fn_get_col_type_ival_count("sys#type#sales#sales_qty" ); //BUCK
select_context->ival_needed_2_ival_dest = malloc(select_context->len * sizeof(U_INT)); //BUCK
for (int i = 0; i < select_context-> len; i++) { //BUCK
select_context->ival_needed_2_ival_dest[i] = 10; //BUCK
} //BUCK
select_context->ival_needed_2_ival_dest[11] = 11; //BUCK
select_context->ival_needed_2_ival_dest[12] = 11; //BUCK
return select_context; //BUCK
} //BUCK
void sales_qty_bucket(U_INT **ivals, float **num_vals, int ivals_len, void *context) { //BUCK
float f = *num_vals[0];
U_INT *ival = ivals[0];
if (f <= 10) {
*ival = 10;
} else {
*ival = 11;
}
} //BUCK
set SO_FILE_NAME='Z_doc_comp_col_with_param_typeA.so';
reponse success
refresh dirty view;
reponse success
set cache='n';
reponse success
select customer_id from v_sales;
customer_id C1 C2 C1 C2 C1 C1 C2
select customer_id, customer_id from v_sales where customer_id='C1';
customer_id customer_id C1 C1 C1 C1 C1 C1 C1 C1
select item_id, customer_id, new_customer_id('A') from v_sales;
item_id customer_id new_customer_id('A') artA C1 # artB C2 NO_DATA artB C1 # artB C2 # artA C1 # # C1 # artA C2 #
select new_customer_id('A'), new_customer_id('A') from v_sales;
new_customer_id('A') new_customer_id('A') # # NO_DATA NO_DATA # # # # # # # # # #
select line_id,uniquesoft(customer_id) from v_sales group by line_id cb sort(1,'asc');
line_id uniquesoft(customer_id) ID01 C1 ID02 C2 ID03 C1 ID04 C2 ID05 C1 ID06 C1 ID07 C2
select line_id,uniquesoft(new_customer_id('A')) from v_sales group by line_id cb sort(1,'asc');
line_id uniquesoft(new_customer_id('A')) ID02 NO_DATA
select item_id, unique(new_customer_id('A')), max(new_customer_id('A')),count(*) from v_sales group by item_id;
item_id unique(new_customer_id('A')) max(new_customer_id('A')) count(*) artA # # 3 artB # NO_DATA 3 # # # 1
--#SB use_index explain select new_customer_id('A'), new_customer_id('A') from v_sales and new_customer_id('A')='NO_DATA';
logs
--#SB no_index select new_customer_id('A'), new_customer_id('A') from v_sales and new_customer_id('A')='NO_DATA';
new_customer_id('A') new_customer_id('A') NO_DATA NO_DATA
select new_customer_id('A'), new_customer_id('B'), new_customer_id('C') from v_sales;
new_customer_id('A') new_customer_id('B') new_customer_id('C') # # # NO_DATA C1 # # # # # # # # # # # # # # # #
select line_id, new_customer_id('A'), new_customer_id('B'), new_customer_id('C') from v_sales;
line_id new_customer_id('A') new_customer_id('B') new_customer_id('C') ID01 # # # ID02 NO_DATA C1 # ID03 # # # ID04 # # # ID06 # # # ID05 # # # ID07 # # #
select new_customer_id('A') as col1, new_customer_id('B') as col2, count(*) from v_sales group by new_customer_id('A'), new_customer_id('B');
col1 col2 count(*) # # 6 NO_DATA C1 1
select count(*) from v_sales and new_customer_id('A')='C1';
count(*)
select new_customer_id('A'),list(new_customer_id('B')) from v_sales group by new_customer_id('A');
new_customer_id('A') list(new_customer_id('B')) # NO_DATA C1
select new_customer_id('A'),count(*) from v_sales group by new_customer_id('A');
new_customer_id('A') count(*) # 6 NO_DATA 1
optimized contexts (type B)
select_context_type B
set COMPUTED_COLUMNS='new_qty,new_qty2';
reponse success
refresh dirty view;
reponse success
--new_customer_id will be equal to customer_id pass in parameter (C1/ival=10 in param is A, C2/ival=11 in param is B) ./_SO_CODE/Z_doc_comp_col_typeB.c
#include "./common.h"
COMPUTED_COL_PREREQ* new_qty_before(UTILITY *U) {
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory();
ret->destination_col_type_name = sb_clone("sys#type#sales#sales_qty" );
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED));
ret->needed_col = needed_col;
needed_col->needed_col_count = 2;
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*));
needed_col->needed_col_names[0] = sb_clone("sales_qty" );
needed_col->needed_col_names[1] = sb_clone("item_id" );
ret->select_context_type = 'B';
return ret;
}
TYPE_B* new_qty_before_select_typeB(UTILITY *U, char **params, int params_len, void *context) {
TYPE_B *select_context = malloc(sizeof(TYPE_A));
select_context->len = U->fn_get_col_type_ival_count("t_item_id" );
select_context->ival_needed_2_coef = malloc(select_context->len * sizeof(float));
for (int i = 0; i < select_context-> len; i++) {
select_context->ival_needed_2_coef[i] = i >= 10 ? 2 : -2;
}
return select_context;
}
void new_qty(U_INT **ivals, float **num_vals, int ivals_len, void *context) {
}
COMPUTED_COL_PREREQ* new_qty2_before(UTILITY *U) {
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory();
ret->destination_col_type_name = sb_clone("sys#type#sales#sales_qty" );
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED));
ret->needed_col = needed_col;
needed_col->needed_col_count = 2;
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*));
needed_col->needed_col_names[0] = sb_clone("sales_qty" );
needed_col->needed_col_names[1] = sb_clone("line_id" );
ret->select_context_type = 'B';
return ret;
}
TYPE_B* new_qty2_before_select_typeB(UTILITY *U, char **params, int params_len, void *context) {
TYPE_B *select_context = malloc(sizeof(TYPE_A));
select_context->len = U->fn_get_col_type_ival_count("sys#type#sales#line_id" );
select_context->ival_needed_2_coef = malloc(select_context->len * sizeof(float));
for (int i = 0; i < select_context-> len; i++) {
select_context->ival_needed_2_coef[i] = i >= 10 ? 2 : -2;
}
return select_context;
}
void new_qty2(U_INT **ivals, float **num_vals, int ivals_len, void *context) {
}
COMPUTED_COL_PREREQ* new_customer_id_before(UTILITY *U) {
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory();
ret->destination_col_type_name = sb_clone("t_customer_id" );
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED));
ret->needed_col = needed_col;
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*));
return ret;
}
void new_customer_id(U_INT **ivals, float **num_vals, int ivals_len, void *context) {
//position 0 is "in/out"
U_INT *pin_out = ivals[0];
}
COMPUTED_COL_PREREQ* sales_qty_bucket_before(UTILITY *U) { //BUCK
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory(); //BUCK
ret->destination_col_type_name = sb_clone("t_bucket" ); //BUCK
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED)); //BUCK
ret->needed_col = needed_col; //BUCK
needed_col->needed_col_count = 1; //BUCK
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*)); //BUCK
needed_col->needed_col_names[0] = sb_clone("sales_qty" ); //BUCK
// ret->select_context_type = 'A'; //BUCK
return ret; //BUCK
} //BUCK
void* sales_qty_bucket_before_select_typeA(UTILITY *U, char **params, int params_len, void *context) { //BUCK
TYPE_A *select_context = malloc(sizeof(TYPE_A)); //BUCK
select_context->len = U->fn_get_col_type_ival_count("sys#type#sales#sales_qty" ); //BUCK
select_context->ival_needed_2_ival_dest = malloc(select_context->len * sizeof(U_INT)); //BUCK
for (int i = 0; i < select_context-> len; i++) { //BUCK
select_context->ival_needed_2_ival_dest[i] = 10; //BUCK
} //BUCK
select_context->ival_needed_2_ival_dest[11] = 11; //BUCK
select_context->ival_needed_2_ival_dest[12] = 11; //BUCK
return select_context; //BUCK
} //BUCK
void sales_qty_bucket(U_INT **ivals, float **num_vals, int ivals_len, void *context) { //BUCK
float f = *num_vals[0];
U_INT *ival = ivals[0];
if (f <= 10) {
*ival = 10;
} else {
*ival = 11;
}
} //BUCK
set SO_FILE_NAME='Z_doc_comp_col_typeB.so';
reponse success
refresh dirty view;
reponse success
--using dimension ival (non pareto ival) select item_id, ival(item_id), sum(sales_qty), sum(new_qty) from v_sales group by item_id;
item_id ival(item_id) sum(sales_qty) sum(new_qty) artA 11 15 30 artB 12 17 34 # # 8 -16
--using dimension ival (non pareto ival) select line_id, ival(line_id), sum(sales_qty), sum(new_qty2) from v_sales group by line_id;
line_id ival(line_id) sum(sales_qty) sum(new_qty2) ID01 10 5 10 ID02 11 6 12 ID03 12 4 8 ID04 13 7 14 ID06 15 5 10 ID05 14 8 16 ID07 16 5 10
set COMPUTED_COLUMNS='new_customer_id';
reponse success
using other columns
New_customer_id will be equal to the first customer_id will have 2 values:
1/ current customer_id if item_id is artA (ival=10)
2/ null otherwise
./_SO_CODE/Z_doc_comp_col_two_values.c
#include "./common.h"
COMPUTED_COL_PREREQ* new_customer_id_before(UTILITY *U) {
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory();
ret->destination_col_type_name = sb_clone("t_customer_id" );
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED));
ret->needed_col = needed_col;
needed_col->needed_col_count = 3; //customer_id and item_id are needed, we keep department for the moment
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*));
needed_col->needed_col_names[0] = sb_clone("dept" ); //still not really needed
needed_col->needed_col_names[1] = sb_clone("customer_id" );
needed_col->needed_col_names[2] = sb_clone("item_id" );
return ret;
}
void new_customer_id(U_INT **ivals, float **num_vals, int ivals_len, void *context) {
//position 0 is "in/out"
U_INT *pin_out = ivals[0];
U_INT *pival_customer_id = ivals[1]; //customer_id is passed after dept
U_INT *pival_item_id = ivals[2]; //item_id is passed after customer_id
if (*pival_item_id == 10) {
*pin_out = *pival_customer_id; //update to customer_id
} else {
*pin_out = NULL_IVAL; //update to null value
}
}
COMPUTED_COL_PREREQ* sales_qty_bucket_before(UTILITY *U) { //BUCK
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory(); //BUCK
ret->destination_col_type_name = sb_clone("t_bucket" ); //BUCK
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED)); //BUCK
ret->needed_col = needed_col; //BUCK
needed_col->needed_col_count = 1; //BUCK
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*)); //BUCK
needed_col->needed_col_names[0] = sb_clone("sales_qty" ); //BUCK
// ret->select_context_type = 'A'; //BUCK
return ret; //BUCK
} //BUCK
void* sales_qty_bucket_before_select_typeA(UTILITY *U, char **params, int params_len, void *context) { //BUCK
TYPE_A *select_context = malloc(sizeof(TYPE_A)); //BUCK
select_context->len = U->fn_get_col_type_ival_count("sys#type#sales#sales_qty" ); //BUCK
select_context->ival_needed_2_ival_dest = malloc(select_context->len * sizeof(U_INT)); //BUCK
for (int i = 0; i < select_context-> len; i++) { //BUCK
select_context->ival_needed_2_ival_dest[i] = 10; //BUCK
} //BUCK
select_context->ival_needed_2_ival_dest[11] = 11; //BUCK
select_context->ival_needed_2_ival_dest[12] = 11; //BUCK
return select_context; //BUCK
} //BUCK
void sales_qty_bucket(U_INT **ivals, float **num_vals, int ivals_len, void *context) { //BUCK
float f = *num_vals[0];
U_INT *ival = ivals[0];
if (f <= 10) {
*ival = 10;
} else {
*ival = 11;
}
} //BUCK
set SO_FILE_NAME='Z_doc_comp_col_two_values.so';
reponse success
refresh dirty view;
reponse success
select line_id,customer_id,item_id from v_sales;
line_id customer_id item_id ID01 C1 artA ID02 C2 artB ID03 C1 artB ID04 C2 artB ID06 C1 artA ID05 C1 # ID07 C2 artA
select line_id,new_customer_id from v_sales;
line_id new_customer_id ID01 # ID02 # ID03 # ID04 # ID06 # ID05 # ID07 #
select line_id,new_customer_id,customer_id from v_sales and customer_id='C2';
line_id new_customer_id customer_id ID02 # C2 ID04 # C2 ID07 # C2
select line_id,new_customer_id from v_sales and new_customer_id='C2';
line_id new_customer_id
using other columns (better code)
Dept was here for clarity (in/out value), let's remove it, and use customer_id instead
And we won't need to update the new in/out in case 1/ because it is already good
./_SO_CODE/Z_doc_comp_col_two_values_better.c
#include "./common.h"
COMPUTED_COL_PREREQ* new_customer_id_before(UTILITY *U) {
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory();
ret->destination_col_type_name = sb_clone("t_customer_id" );
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED));
ret->needed_col = needed_col;
needed_col->needed_col_count = 2;
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*));
needed_col->needed_col_names[0] = sb_clone("customer_id" );
needed_col->needed_col_names[1] = sb_clone("item_id" );
return ret;
}
void new_customer_id(U_INT **ivals, float **num_vals, int ivals_len, void *context) {
//position 0 is "in/out"
U_INT *pin_out = ivals[0];
U_INT *pival_customer_id = ivals[0];
U_INT *pival_item_id = ivals[1];
if (*pival_item_id == 10) {
//already good
} else {
*pival_customer_id = NULL_IVAL; //update to null value
}
}
COMPUTED_COL_PREREQ* sales_qty_bucket_before(UTILITY *U) { //BUCK
COMPUTED_COL_PREREQ *ret = sb_computed_col_prereq_factory(); //BUCK
ret->destination_col_type_name = sb_clone("t_bucket" ); //BUCK
COMPUTED_COL_NEED *needed_col = malloc(sizeof(COMPUTED_COL_NEED)); //BUCK
ret->needed_col = needed_col; //BUCK
needed_col->needed_col_count = 1; //BUCK
needed_col->needed_col_names = malloc(needed_col->needed_col_count * sizeof(char*)); //BUCK
needed_col->needed_col_names[0] = sb_clone("sales_qty" ); //BUCK
// ret->select_context_type = 'A'; //BUCK
return ret; //BUCK
} //BUCK
void* sales_qty_bucket_before_select_typeA(UTILITY *U, char **params, int params_len, void *context) { //BUCK
TYPE_A *select_context = malloc(sizeof(TYPE_A)); //BUCK
select_context->len = U->fn_get_col_type_ival_count("sys#type#sales#sales_qty" ); //BUCK
select_context->ival_needed_2_ival_dest = malloc(select_context->len * sizeof(U_INT)); //BUCK
for (int i = 0; i < select_context-> len; i++) { //BUCK
select_context->ival_needed_2_ival_dest[i] = 10; //BUCK
} //BUCK
select_context->ival_needed_2_ival_dest[11] = 11; //BUCK
select_context->ival_needed_2_ival_dest[12] = 11; //BUCK
return select_context; //BUCK
} //BUCK
void sales_qty_bucket(U_INT **ivals, float **num_vals, int ivals_len, void *context) { //BUCK
float f = *num_vals[0];
U_INT *ival = ivals[0];
if (f <= 10) {
*ival = 10;
} else {
*ival = 11;
}
} //BUCK
set SO_FILE_NAME='Z_doc_comp_col_two_values_better.so';
reponse success
refresh dirty view;
reponse success
--#SB log_verbose select line_id, new_customer_id from v_sales ;
line_id new_customer_id ID01 # ID02 # ID03 # ID04 # ID06 # ID05 # ID07 #
select line_id from v_sales and new_customer_id='C1' ;
line_id
select line_id from v_sales and new_customer_id='C2' ;
line_id
select line_id, maxstr(new_customer_id) from v_sales group by line_id ;
line_id maxstr(new_customer_id)
select item_id, list(new_customer_id) from v_sales group by item_id ;
item_id list(new_customer_id) artA artB #
select item_id, list(new_customer_id), list(customer_id) from v_sales group by item_id ;
item_id list(new_customer_id) list(customer_id) artA C1,C2 artB C1,C2 # C1
SB predefined contexts C API
A context is a C custom objects stored in memory be SB ant that can be used by other part of your custom C code
Some predefined contexts for most common operations are provided (see common.h)
./_SO_CODE/common.h
typedef struct idx1 {
U_INT len;
U_INT *ival1_to_ival2;
char *origin_col_type_name; //SB_LIB_VERSION 12
char *origin_col_name; //SB_LIB_VERSION 12
char *destination_col_type_name;
COMPUTED_COL_NEED *needed_col;
} IDX1;
typedef struct idx1_num {
U_INT len;
float *ival1_to_num;
char *origin_col_type_name;
char *origin_col_name;
char *destination_col_type_name;
char ratio_yn;
} IDX1_NUM;
typedef struct idx2 {
U_INT **ival1_to_ival2_to_ival3;
U_INT ival1_len;
char *destination_col_type_name;
COMPUTED_COL_NEED *needed_col;
} IDX2;
#define YYYYMMDD unsigned int
typedef struct line_period {
U_INT ival;
YYYYMMDD d1;
YYYYMMDD d2;
} SB_PERIOD;
typedef struct line_periods {
SB_PERIOD *lines;
int count;
} SB_PERIODS;
typedef struct idx2_period {
U_INT ival1_len;
U_INT ival2_len;
SB_PERIODS ***ival1_to_ival2_to_ival3_periods;
char *destination_col_type_name;
COMPUTED_COL_NEED *needed_col;
YYYYMMDD *ival_to_d;
int ival_to_d_len;
char *d_col_type_name;
} IDX2_PERIOD;
COMPUTED_COL_PREREQ* sb_idx1_before(UTILITY *U, char *col1, char *col2);
COMPUTED_COL_PREREQ* sb_idx2_before(UTILITY *U, char *col1, char *col2, char *col3);
COMPUTED_COL_PREREQ* sb_idx2_period_before(UTILITY *U, char *col1, char *col2, char *col3, char *col4);
void sb_idx1(U_INT **ivals, float **num_vals, int ivals_len, void *context);
void sb_idx2(U_INT **ivals, float **num_vals, int ivals_len, void *context);
void sb_idx2_period(U_INT **ivals, float **num_vals, int ivals_len, void *context);
//using context basics
Sometimes your computed column will need other information because the needed columns in not enough
Context should be used in that case
set COMPUTED_COLUMNS='last_fidelity_card,last_customer_info,valid_customer_info,best_customer_info';
reponse success
select item_id, customer_id, sales_date, line_id from v_sales callback sort(4,'asc');
item_id customer_id sales_date line_id artA C1 20191231 ID01 artB C2 20200102 ID02 artB C1 20191231 ID03 artB C2 20200102 ID04 # C1 20200102 ID05 artA C1 20191231 ID06 artA C2 20191231 ID07
select * from v_fidelity_cards;
customer_id card_label valid_from valid_until C1 SILVER 20191201 20191231 C1 GOLD 20201201 20201231
select * from v_item_customer_infos;
customer_id item_id info valid_from valid_until C1 artA FREQUENT BUYER of artA in 2019 20190101 20191231 C1 artB FREQUENT BUYER of artB in 2020 20200101 20201231 C2 artB FREQUENT BUYER of artB in 2020 20200101 20201231
--1 column join with fn_build_idx1 --last fidelity card per customer_id./_SO_CODE/Z_doc_comp_col2_last_fidelity_card.c
#include "./common.h"
COMPUTED_COL_PREREQ* last_fidelity_card_before(UTILITY *U) {
return sb_idx1_before(U, "customer_id" , "card_label" );
}
void last_fidelity_card(U_INT**ivals, float**num_vals, int ivals_len, void *context) {
sb_idx1(ivals, num_vals, ivals_len, context);
}
void fn_free(void *c){
free(c);
}
set SO_FILE_NAME='Z_doc_comp_col2_last_fidelity_card.so';
reponse success
loop fidelity_cards(customer_id,card_label) function fn_build_idx1;
LOOP_RESULT DONE
desc context;
context_name is_drop_yn get_deptA n mult_by_sales_priceB n divide_by_sales_priceB n IDX1#customer_id->card_label n
refresh computed_column;
reponse success
desc computed_column;
comp_col_name error last_fidelity_card no error last_customer_info function not found: last_customer_info valid_customer_info function not found: valid_customer_info best_customer_info function not found: best_customer_info get_dept no error mult_by_sales_price no error divide_by_sales_price no error
select item_id, customer_id, sales_date, line_id, last_fidelity_card from v_sales callback sort(4,'asc');
item_id customer_id sales_date line_id last_fidelity_card artA C1 20191231 ID01 GOLD artB C2 20200102 ID02 # artB C1 20191231 ID03 GOLD artB C2 20200102 ID04 # # C1 20200102 ID05 GOLD artA C1 20191231 ID06 GOLD artA C2 20191231 ID07 #
select customer_id, list(last_fidelity_card) from v_sales group by customer_id callback sort(1,'asc');
customer_id list(last_fidelity_card) C1 GOLD C2
select sales.* from v_sales where last_fidelity_card like 'GO';
item_id customer_id sales_date sales_qty line_id packaging_id artA C1 20191231 5 ID01 box1 artB C1 20191231 4 ID03 # artA C1 20191231 5 ID06 box1 # C1 20200102 8 ID05 #
select count(*), list(customer_id) from v_sales and last_fidelity_card='GOLD';
count(*) list(customer_id) 4 C1
--2 columns join with fn_build_idx2 --last customer_info per item_id/customer_id./_SO_CODE/Z_doc_comp_col2_last_customer_info.c
#include "./common.h"
COMPUTED_COL_PREREQ* last_customer_info_before(UTILITY *U) {
return sb_idx2_before(U, "customer_id" , "item_id" , "info" );
}
void last_customer_info(U_INT**ivals, float**num_vals, int ivals_len, void *context) {
sb_idx2(ivals, num_vals, ivals_len, context);
}
void fn_free(void *c){
free(c);
}
set SO_FILE_NAME='Z_doc_comp_col2_last_customer_info.so';
reponse success
loop item_customer_infos(customer_id,item_id,info) function fn_build_idx2;
LOOP_RESULT DONE
desc context;
context_name is_drop_yn get_deptA n mult_by_sales_priceB n divide_by_sales_priceB n IDX1#customer_id->card_label n IDX2#customer_id->item_id->info n
refresh computed_column;
reponse success
desc computed_column;
comp_col_name error last_fidelity_card function not found: last_fidelity_card last_customer_info no error valid_customer_info function not found: valid_customer_info best_customer_info function not found: best_customer_info get_dept no error mult_by_sales_price no error divide_by_sales_price no error
select item_id, customer_id, sales_date, line_id, last_customer_info from v_sales callback sort(4,'asc');
item_id customer_id sales_date line_id last_customer_info artA C1 20191231 ID01 FREQUENT BUYER of artA in 2019 artB C2 20200102 ID02 FREQUENT BUYER of artB in 2020 artB C1 20191231 ID03 FREQUENT BUYER of artB in 2020 artB C2 20200102 ID04 FREQUENT BUYER of artB in 2020 # C1 20200102 ID05 # artA C1 20191231 ID06 FREQUENT BUYER of artA in 2019 artA C2 20191231 ID07 #
--2 columns join + period check with fn_build_idx2_period --valid customer_info per item_id/customer_id, valid at the sales_date./_SO_CODE/Z_doc_comp_col2_valid_customer_info.c
#include "./common.h"
COMPUTED_COL_PREREQ* valid_customer_info_before(UTILITY *U) {
return sb_idx2_period_before(U, "customer_id" , "item_id" , "sales_date" , "info" );
}
void valid_customer_info(U_INT**ivals, float**num_vals, int ivals_len, void *context) {
sb_idx2_period(ivals, num_vals, ivals_len, context);
}
void fn_free(void *c){
free(c);
}
set SO_FILE_NAME='Z_doc_comp_col2_valid_customer_info.so';
reponse success
loop item_customer_infos(customer_id,item_id,info,valid_from,valid_until) function fn_build_idx2_period('sales_date');
LOOP_RESULT DONE
desc context;
context_name is_drop_yn get_deptA n mult_by_sales_priceB n divide_by_sales_priceB n IDX1#customer_id->card_label n IDX2#customer_id->item_id->info n IDX2_PERIOD#customer_id->item_id->sales_date->info n
refresh computed_column;
reponse success
desc computed_column;
comp_col_name error last_fidelity_card function not found: last_fidelity_card last_customer_info function not found: last_customer_info valid_customer_info no error best_customer_info function not found: best_customer_info get_dept no error mult_by_sales_price no error divide_by_sales_price no error
select item_id, customer_id, sales_date, line_id, valid_customer_info from v_sales callback sort(4,'asc');
item_id customer_id sales_date line_id valid_customer_info artA C1 20191231 ID01 FREQUENT BUYER of artA in 2019 artB C2 20200102 ID02 FREQUENT BUYER of artB in 2020 artB C1 20191231 ID03 # artB C2 20200102 ID04 FREQUENT BUYER of artB in 2020 # C1 20200102 ID05 # artA C1 20191231 ID06 FREQUENT BUYER of artA in 2019 artA C2 20191231 ID07 #
using custom context
Sometimes predefined context is not enough, or you needed several custom contexts
In such cas you should define your own context
--best_customer_info valid_customer_info or last_customer_info or last_fidelity_card./_SO_CODE/Z_doc_comp_col2_best_customer_info.c
#include "./common.h"
typedef struct my_context {
IDX1 *idx1;
IDX2 *idx2;
IDX2_PERIOD *idx2_p;
} MY_CONTEXT;
void fn_free(void *c){
free(c);
}
int fn_build_my_context_before(SB_VALS* read, SB_VALS* new) {
MY_CONTEXT *c = malloc(sizeof(MY_CONTEXT));
c->idx1 = read->U->fn_get_context("IDX1#customer_id->card_label" );
c->idx2 = read->U->fn_get_context("IDX2#customer_id->item_id->info" );
c->idx2_p = read->U->fn_get_context("IDX2_PERIOD#customer_id->item_id->sales_date->info" );
if (c->idx1 == NULL) {
read->U->fn_log("fn_build_my_context_before: context IDX1#customer_id->card_label not found" );
return KO;
}
if (c->idx2 == NULL) {
read->U->fn_log("fn_build_my_context_before: context IDX2#customer_id->item_id->info not found" );
return KO;
}
if (c->idx2_p == NULL) {
read->U->fn_log(
"fn_build_my_context_before: context IDX2_PERIOD#customer_id->item_id->sales_date->info not found" );
return KO;
}
read->context = c;
read->context_name = sb_clone("my_context" );
read->fn_free_context_name = sb_clone("fn_free" );
return OK;
}
int fn_build_my_context(SB_VALS* read, SB_VALS* new) {
return NOT_MODIFIED;
}
COMPUTED_COL_PREREQ* best_customer_info_before(UTILITY *U) {
COMPUTED_COL_PREREQ*ret = sb_computed_col_prereq_factory();
ret->needed_context_name = sb_clone("my_context" );
MY_CONTEXT* idx = U->fn_get_context(ret->needed_context_name);
if (idx == NULL) {
ret->error = sb_concat3("context " , ret->needed_context_name, " not found" );
return ret;
}
ret->destination_col_type_name = sb_clone(idx->idx2_p->destination_col_type_name);
ret->needed_col = sb_clone_need_col(idx->idx2_p->needed_col);
return ret;
}
void best_customer_info(U_INT**ivals, float**num_vals, int ivals_len, void *context) {
MY_CONTEXT *c = context;
U_INT customer_id = *ivals[0];
sb_idx2_period(ivals, num_vals, ivals_len, c->idx2_p);
if (*ivals[0] == NULL_IVAL) {
*ivals[0] = customer_id;
sb_idx2(ivals, num_vals, ivals_len, c->idx2);
if (*ivals[0] == NULL_IVAL) {
*ivals[0] = customer_id;
sb_idx1(ivals, num_vals, ivals_len, c->idx1);
}
}
}
set SO_FILE_NAME='Z_doc_comp_col2_best_customer_info.so';
reponse success
--create an empty table to trigger fn_build_my_context create table empty_table (txt text);
reponse success
loop empty_table(txt) function fn_build_my_context;
LOOP_RESULT DONE
desc context;
context_name is_drop_yn get_deptA n mult_by_sales_priceB n divide_by_sales_priceB n IDX1#customer_id->card_label n IDX2#customer_id->item_id->info n IDX2_PERIOD#customer_id->item_id->sales_date->info n my_context n
refresh computed_column;
reponse success
desc computed_column;
comp_col_name error last_fidelity_card function not found: last_fidelity_card last_customer_info function not found: last_customer_info valid_customer_info function not found: valid_customer_info best_customer_info no error get_dept no error mult_by_sales_price no error divide_by_sales_price no error
select item_id, customer_id, sales_date, line_id, best_customer_info from v_sales callback sort(4,'asc');
item_id customer_id sales_date line_id best_customer_info artA C1 20191231 ID01 FREQUENT BUYER of artA in 2019 artB C2 20200102 ID02 FREQUENT BUYER of artB in 2020 artB C1 20191231 ID03 FREQUENT BUYER of artB in 2020 artB C2 20200102 ID04 FREQUENT BUYER of artB in 2020 # C1 20200102 ID05 GOLD artA C1 20191231 ID06 FREQUENT BUYER of artA in 2019 artA C2 20191231 ID07 #
--all computed columns./_SO_CODE/Z_doc_comp_col2_all.c
#include "./common.h"
COMPUTED_COL_PREREQ* last_fidelity_card_before(UTILITY *U) {
return sb_idx1_before(U, "customer_id" , "card_label" );
}
void last_fidelity_card(U_INT**ivals, float**num_vals, int ivals_len, void *context) {
sb_idx1(ivals, num_vals, ivals_len, context);
}
COMPUTED_COL_PREREQ* last_customer_info_before(UTILITY *U) {
return sb_idx2_before(U, "customer_id" , "item_id" , "info" );
}
void last_customer_info(U_INT**ivals, float**num_vals, int ivals_len, void *context) {
sb_idx2(ivals, num_vals, ivals_len, context);
}
COMPUTED_COL_PREREQ* valid_customer_info_before(UTILITY *U) {
return sb_idx2_period_before(U, "customer_id" , "item_id" , "sales_date" , "info" );
}
void valid_customer_info(U_INT**ivals, float**num_vals, int ivals_len, void *context) {
sb_idx2_period(ivals, num_vals, ivals_len, context);
}
typedef struct my_context {
IDX1 *idx1;
IDX2 *idx2;
IDX2_PERIOD *idx2_p;
} MY_CONTEXT;
void fn_free(void *c){
free(c);
}
int fn_build_my_context_before(SB_VALS* read, SB_VALS* new) {
MY_CONTEXT *c = malloc(sizeof(MY_CONTEXT));
c->idx1 = read->U->fn_get_context("IDX1#customer_id->card_label" );
c->idx2 = read->U->fn_get_context("IDX2#customer_id->item_id->info" );
c->idx2_p = read->U->fn_get_context("IDX2_PERIOD#customer_id->item_id->sales_date->info" );
if (c->idx1 == NULL) {
read->U->fn_log("fn_build_my_context_before: context IDX1#customer_id->card_label not found" );
return KO;
}
if (c->idx2 == NULL) {
read->U->fn_log("fn_build_my_context_before: context IDX2#customer_id->item_id->info not found" );
return KO;
}
if (c->idx2_p == NULL) {
read->U->fn_log(
"fn_build_my_context_before: context IDX2_PERIOD#customer_id->item_id->sales_date->info not found" );
return KO;
}
read->context = c;
read->context_name = sb_clone("my_context" );
read->fn_free_context_name = sb_clone("fn_free" );
return OK;
}
int fn_build_my_context(SB_VALS* read, SB_VALS* new) {
return NOT_MODIFIED;
}
COMPUTED_COL_PREREQ* best_customer_info_before(UTILITY *U) {
COMPUTED_COL_PREREQ*ret = sb_computed_col_prereq_factory();
ret->needed_context_name = sb_clone("my_context" );
MY_CONTEXT* idx = U->fn_get_context(ret->needed_context_name);
if (idx == NULL) {
ret->error = sb_concat3("context " , ret->needed_context_name, " not found" );
return ret;
}
ret->destination_col_type_name = sb_clone(idx->idx2_p->destination_col_type_name);
ret->needed_col = sb_clone_need_col(idx->idx2_p->needed_col);
return ret;
}
void best_customer_info(U_INT**ivals, float**num_vals, int ivals_len, void *context) {
MY_CONTEXT *c = context;
U_INT customer_id = *ivals[0];
sb_idx2_period(ivals, num_vals, ivals_len, c->idx2_p);
if (*ivals[0] == NULL_IVAL) {
*ivals[0] = customer_id;
sb_idx2(ivals, num_vals, ivals_len, c->idx2);
if (*ivals[0] == NULL_IVAL) {
*ivals[0] = customer_id;
sb_idx1(ivals, num_vals, ivals_len, c->idx1);
}
}
}
set SO_FILE_NAME='Z_doc_comp_col2_all.so';
reponse success
refresh computed_column;
reponse success
desc computed_column;
comp_col_name error last_fidelity_card no error last_customer_info no error valid_customer_info no error best_customer_info no error get_dept no error mult_by_sales_price no error divide_by_sales_price no error
select item_id, customer_id, sales_date, line_id, last_fidelity_card, last_customer_info, valid_customer_info, best_customer_info from v_sales callback sort(4,'asc');
item_id customer_id sales_date line_id last_fidelity_card last_customer_info valid_customer_info best_customer_info artA C1 20191231 ID01 GOLD FREQUENT BUYER of artA in 2019 FREQUENT BUYER of artA in 2019 FREQUENT BUYER of artA in 2019 artB C2 20200102 ID02 # FREQUENT BUYER of artB in 2020 FREQUENT BUYER of artB in 2020 FREQUENT BUYER of artB in 2020 artB C1 20191231 ID03 GOLD FREQUENT BUYER of artB in 2020 # FREQUENT BUYER of artB in 2020 artB C2 20200102 ID04 # FREQUENT BUYER of artB in 2020 FREQUENT BUYER of artB in 2020 FREQUENT BUYER of artB in 2020 # C1 20200102 ID05 GOLD # # GOLD artA C1 20191231 ID06 GOLD FREQUENT BUYER of artA in 2019 FREQUENT BUYER of artA in 2019 FREQUENT BUYER of artA in 2019 artA C2 20191231 ID07 # # # #
using indexes on computed columns
Index can be used if there is only one needed column and that this column has an index (is part of a dimension)
--index on last_fidelity_card can be used but not on last_customer_info --#SB use_index select line_id from v_sales and last_fidelity_card='GOLD' and last_customer_info='FREQUENT BUYER of artA in 2019' ;
line_id ID01 ID06
-- refresh computed_column; -- refresh cache; -- ########################### -- RUNNING shutdown.sql shutdown; -- ########################### -- RUNNING stop_on_error.sql (with ./cluster_sql.sh) stop_on_error;
warning CLI command sent: stop_on_error
-- ########################### -- RUNNING cd ../02_sql; ./cluster.sh init;
/*
killing cluster (pid:21812
21816
21817
21818
21819
21820)
done
cluster is not running on this server
init -> true
foreground -> true
[0] CLUSTER master port: 2220 (0)
[0] CLUSTER slave count: 2 (0)
[0] FIRST_NODE ____comment#5____
[0] FIRST_NODE connecting to localhost : 2219 (0)
[0] SECOND_NODE ____comment#6____
[0] SECOND_NODE connecting to localhost : 2219 (0)
[0] SECOND_NODE -> authentication; (0)
[0] FIRST_NODE -> authentication; (0)
[0] SECOND_NODE <- data ( 104 ms ) (0)
[0] SECOND_NODE -> exec show_data_model(); (0)
[0] SECOND_NODE <- data ( 3 ms ) (0)
[0] FIRST_NODE <- data ( 203 ms ) (0)
[0] FIRST_NODE -> exec show_data_model(); (0)
[0] FIRST_NODE <- data ( 2 ms ) (0)
[0] FIRST_NODE col_type t_item_id exec sql #1 (0)
[0] FIRST_NODE -> SELECT_ALL item_id FROM v_item_tags GROUP BY item_id; (0)
[0] SECOND_NODE col_type t_item_id exec sql #1 (0)
[0] SECOND_NODE -> SELECT_ALL item_id FROM v_item_tags GROUP BY item_id; (0)
[0] FIRST_NODE <- data ( 4 ms ) (0)
[0] FIRST_NODE #2 len: 14 (0)
[0] FIRST_NODE #3 (0)
[0] SECOND_NODE <- data ( 4 ms ) (0)
[0] SECOND_NODE #2 len: 14 (0)
[0] SECOND_NODE #3 (0)
[0] CLUSTER colType OK t_item_id 1/9 (0)
[0] FIRST_NODE col_type sys#type#items#art_label exec sql #1 (0)
[0] FIRST_NODE -> SELECT_ALL art_label FROM v_items GROUP BY art_label; (0)
[0] SECOND_NODE col_type sys#type#items#art_label exec sql #1 (0)
[0] SECOND_NODE -> SELECT_ALL art_label FROM v_items GROUP BY art_label; (0)
[0] FIRST_NODE <- data ( 4 ms ) (0)
[0] FIRST_NODE #2 len: 12 (0)
[0] FIRST_NODE #3 (0)
[0] SECOND_NODE <- data ( 3 ms ) (0)
[0] SECOND_NODE #2 len: 12 (0)
[0] SECOND_NODE #3 (0)
[0] CLUSTER colType OK sys#type#items#art_label 2/9 (0)
[0] FIRST_NODE col_type t_dept_id exec sql #1 (0)
[0] FIRST_NODE -> SELECT_ALL dept FROM v_items GROUP BY dept; (0)
[0] SECOND_NODE col_type t_dept_id exec sql #1 (0)
[0] SECOND_NODE -> SELECT_ALL dept FROM v_items GROUP BY dept; (0)
[0] FIRST_NODE <- data ( 4 ms ) (0)
[0] FIRST_NODE #2 len: 12 (0)
[0] FIRST_NODE #3 (0)
[0] SECOND_NODE <- data ( 4 ms ) (0)
[0] SECOND_NODE #2 len: 12 (0)
[0] SECOND_NODE #3 (0)
[0] CLUSTER colType OK t_dept_id 3/9 (0)
[0] FIRST_NODE col_type t_customer_id exec sql #1 (0)
[0] FIRST_NODE -> SELECT_ALL customer_id FROM v_sales GROUP BY customer_id; (0)
[0] SECOND_NODE col_type t_customer_id exec sql #1 (0)
[0] SECOND_NODE -> SELECT_ALL customer_id FROM v_sales GROUP BY customer_id; (0)
[0] FIRST_NODE <- data ( 3 ms ) (0)
[0] FIRST_NODE #2 len: 13 (0)
[0] FIRST_NODE #3 (0)
[0] SECOND_NODE <- data ( 4 ms ) (0)
[0] SECOND_NODE #2 len: 13 (0)
[0] SECOND_NODE #3 (0)
[0] CLUSTER colType OK t_customer_id 4/9 (0)
[0] FIRST_NODE col_type t_date exec sql #1 (0)
[0] FIRST_NODE -> SELECT_ALL sales_date FROM v_sales GROUP BY sales_date; (0)
[0] SECOND_NODE col_type t_date exec sql #1 (0)
[0] SECOND_NODE -> SELECT_ALL sales_date FROM v_sales GROUP BY sales_date; (0)
[0] FIRST_NODE <- data ( 4 ms ) (0)
[0] FIRST_NODE #2 len: 17 (0)
[0] FIRST_NODE #3 (0)
[0] SECOND_NODE <- data ( 4 ms ) (0)
[0] SECOND_NODE #2 len: 17 (0)
[0] SECOND_NODE #3 (0)
[0] CLUSTER colType OK t_date 5/9 (0)
[0] FIRST_NODE col_type t_customer_info exec sql #1 (0)
[0] FIRST_NODE -> SELECT_ALL info FROM v_item_customer_infos GROUP BY info; (0)
[0] SECOND_NODE col_type t_customer_info exec sql #1 (0)
[0] SECOND_NODE -> SELECT_ALL info FROM v_item_customer_infos GROUP BY info; (0)
[0] FIRST_NODE <- data ( 4 ms ) (0)
[0] FIRST_NODE #2 len: 14 (0)
[0] FIRST_NODE #3 (0)
[0] SECOND_NODE <- data ( 4 ms ) (0)
[0] SECOND_NODE #2 len: 14 (0)
[0] SECOND_NODE #3 (0)
[0] CLUSTER colType OK t_customer_info 6/9 (0)
[0] FIRST_NODE col_type sys#type#customers#customer_name exec sql #1 (0)
[0] FIRST_NODE -> SELECT_ALL customer_name FROM v_sales GROUP BY customer_name; (0)
[0] SECOND_NODE col_type sys#type#customers#customer_name exec sql #1 (0)
[0] SECOND_NODE -> SELECT_ALL customer_name FROM v_sales GROUP BY customer_name; (0)
[0] FIRST_NODE <- data ( 3 ms ) (0)
[0] FIRST_NODE #2 len: 12 (0)
[0] FIRST_NODE #3 (0)
[0] SECOND_NODE <- data ( 3 ms ) (0)
[0] SECOND_NODE #2 len: 12 (0)
[0] SECOND_NODE #3 (0)
[0] CLUSTER colType OK sys#type#customers#customer_name 7/9 (0)
[0] FIRST_NODE col_type sys#type#sales#line_id exec sql #1 (0)
[0] FIRST_NODE -> SELECT_ALL line_id FROM v_sales GROUP BY line_id; (0)
[0] SECOND_NODE col_type sys#type#sales#line_id exec sql #1 (0)
[0] SECOND_NODE -> SELECT_ALL line_id FROM v_sales GROUP BY line_id; (0)
[0] SECOND_NODE <- data ( 3 ms ) (0)
[0] SECOND_NODE #2 len: 17 (0)
[0] SECOND_NODE #3 (0)
[0] FIRST_NODE <- data ( 3 ms ) (0)
[0] FIRST_NODE #2 len: 17 (0)
[0] FIRST_NODE #3 (0)
[0] CLUSTER colType OK sys#type#sales#line_id 8/9 (0)
[0] FIRST_NODE col_type sys#type#item_tags#tag exec sql #1 (0)
[0] FIRST_NODE -> SELECT_ALL tag FROM v_item_tags GROUP BY tag; (0)
[0] SECOND_NODE col_type sys#type#item_tags#tag exec sql #1 (0)
[0] SECOND_NODE -> SELECT_ALL tag FROM v_item_tags GROUP BY tag; (0)
[0] FIRST_NODE <- data ( 4 ms ) (0)
[0] FIRST_NODE #2 len: 12 (0)
[0] FIRST_NODE #3 (0)
[0] SECOND_NODE <- data ( 3 ms ) (0)
[0] SECOND_NODE #2 len: 12 (0)
[0] SECOND_NODE #3 (0)
[0] CLUSTER colType OK sys#type#item_tags#tag 9/9 (0)
*/
-- ########################### -- RUNNING cd ../02_sql; ./cluster.sh bounce;
/*
cluster is not running on this server
archiving previous log file
purging log archive (7 days)
starting stormbase cluster .. OK: cluster listening on tcp port 2220
*/
-- ########################### -- RUNNING status.sh
/*
PID: 25586, CMD: STORMBASE, TCP_PORT: 2219
PID: 25645, CMD: CLUSTER, TCP_PORT: 2220
PID: 25649, CMD: CLUSTER, TCP_PORT: 2220
PID: 25650, CMD: CLUSTER, TCP_PORT: 2220
*/
-- ########################### -- RUNNING doc_cluster.sql (with ./cluster_sql.sh) --Cluster
SQL steps: SB client -> SB cluster -> send SQL to all SBs of the cluster -> merge results -> reply to SB client
cluster_readme.txt
../02_sql/cluster_readme.txt
##############
## SB cluster
##############
1/ create file cluster.conf, sample here under
# cluster port
TCP_PORT:2220
# node 1
ID1:node1 (optional, defaults to N1)
HOST1:stormbase1_ip
TCP_PORT1:stormbase1_port
# node 12
ID2:node2
HOST2:stormbase2_ip
TCP_PORT2:stormbase2_port
# repartition keys
REPART_COL_TYPES:t_art_site_key,t_art_cinv
OR
REPART_COL_TYPES:/(t_art_site_key|t_art_cinv)/
# #process, defaults to 5
NB_WORKERS:a_number
# if an sql take more that x seconds then execution is cancelled and error 173 is sent, defaults to 100 seconds
SQL_TIMEOUT:a_number_in_seconds
# all SB nodes must have the same data model (otherwise init will return an error), defaults to y
SAME_DATA_MODEL:y/n
# if sql match the regex the sql will be sent to node #1 only, defaults to null
REGEX_FIRST_NODE_ONLY:a_javascript_regex
2/ init cluster
./cluster.sh init
Note. each time a cluster node receives a refresh the cluster must be re-init
3/ start cluster
./cluster start <|foreground>
Note. logs are in cluster.log
##############
## SB with PGSQL driver
##############
1/ create file cluster.conf, sample here under
create a classic SB cluster conf file (maybe with one SB node only)
2/ init companion
./cluster.sh init_pg_companion
PG_COMPANION_PORT:5432
PG_COMPANION_HOST:51.255.89.11
PG_COMPANION_USER:postgres
PG_COMPANION_PWD:toto
3/ start cluster
./cluster start <|foreground>
init cluster
SB cluster will connect to all SB nodes, download data model, and store it under 02_sql/INT_CLU
02_sql> ./cluster.sh init;
../02_sql/cluster.conf
TCP_PORT:2220
ID1:FIRST_NODE
HOST1:localhost
TCP_PORT1:2219
ID2:SECOND_NODE
HOST2:localhost
TCP_PORT2:2219
REGEX_FIRST_NODE_ONLY:/(create|insert|delete|refresh|set)\s/
NB_WORKERS:2
SQL_TIMEOUT:3
start cluster
Start SB cluster in companion mode
02_sql> ./cluster.sh start|bounce;
basics
Cluster of 2 (same) SB
--#SB_CLUSTER debug select count(*) from v_sales;
COUNT(*) 14
desc table callback where(1,'sales');
table_name column_count line_count has_delete has_update parent_view_hidden node_id sales 5 7 n n n FIRST_NODE sales 5 7 n n n SECOND_NODE
desc
--#SB_CLUSTER desc('parameter') nothing;
param_name current_value TCP_PORT 2220 ID1 FIRST_NODE HOST1 localhost TCP_PORT1 2219 ID2 SECOND_NODE HOST2 localhost TCP_PORT2 2219 REPART_COL_TYPES - REGEX_FIRST_NODE_ONLY /(create!insert!delete!refresh!set)\s/ NB_WORKERS 2 SQL_TIMEOUT 3 SAME_DATA_MODEL y
--#SB_CLUSTER set('same_data_model','n') nothing;
response done
--#SB_CLUSTER desc('parameter','same_data_model') nothing;
param_name current_value SAME_DATA_MODEL n
custom.js
../02_sql/custom.js
module.exports = {};
module.exports.fnSetNodes = function (sql, nodeId2Execute) {
if (sql.match(/(\s|^)v_item_tags(\s|;)/im)) {
nodeId2Execute["FIRST_NODE"] = false;
}
if (sql.match(/(\s|^)v_items(\s|;)/im)) {
nodeId2Execute["SECOND_NODE"] = false;
}
}
desc view callback where(1,'v_item_tags');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count node_id v_item_tags 1 2 n n n 10 0 12 12 0 0 FIRST_NODE v_item_tags 1 2 n n n 10 0 12 12 0 0 SECOND_NODE
select count(*) from v_item_tags;
COUNT(*) 2
desc view callback where(1,'v_items');
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count node_id v_items 1 2 n n n 10 0 12 12 0 0 FIRST_NODE v_items 1 2 n n n 10 0 12 12 0 0 SECOND_NODE
select count(*) from v_items;
COUNT(*) 2
SB_CLUSTER tag
Use SB_CLUSTER tag to help SB cluster
desc table sales;
table_name column_name column_type col_type_name node_id sales item_id text t_item_id FIRST_NODE sales customer_id text t_customer_id FIRST_NODE sales sales_date text t_date FIRST_NODE sales sales_qty number sys#type#sales#sales_qty FIRST_NODE sales line_id text sys#type#sales#line_id FIRST_NODE sales item_id text t_item_id SECOND_NODE sales customer_id text t_customer_id SECOND_NODE sales sales_date text t_date SECOND_NODE sales sales_qty number sys#type#sales#sales_qty SECOND_NODE sales line_id text sys#type#sales#line_id SECOND_NODE
--under construction --#SB_CLUSTER broadcast merge('group,sum') --#SB_CLUSTER broadcast merge('group,sum,sum') compute(4,'ratio(line.sum_stk,line.sum_sales)') compute(5,'ratio(365,line.doi)')REGEX_FIRST_NODE_ONLY
Use SB_CLUSTER tag to help SB cluster
errors management
Timeouts may happen in this mode
continue_on_disconnect; --this sql is stopped because of timeout --#SB_CLUSTER js_eval(require("child_process").execSync("sleep 10"); return "abcd") nothing;
error 173: connection closed
stop_on_disconnect; --but the cluster is still working (killed thread has been re forked) select count(*) from v_sales;
COUNT(*) 14
;2220-- ###########################-- RUNNING cd ../02_sql; ./cluster.sh init_pg_companion;
/*
killing cluster (pid:29741
29745
29746
29747
29748
29749)
done
cluster is not running on this server
init_pg_companion -> true
foreground -> true
[0] CLUSTER master port: 2220 (0)
[0] CLUSTER slave count: 1 (0)
[0] N1 --------- NEW CONNECTION ------------ CACHE SIZE : 0 / 0 (0)
[0] N1 connecting to localhost : 2219 (0)
[0] N1 -> authentication; (0)
[0] N1 <- data ( 103 ms ) (0)
[0] N1 -> exec show_data_model(); (0)
[0] N1 <- data ( 1 ms ) (0)
proxy server connect undefined
-------> conn1
-------> conn2
-------> get tables
-------> drop table v_fidelity_cards
-------> drop table v_item_customer_infos
-------> drop table v_item_tags
-------> drop table v_items
-------> drop table v_sales
-------> fn
-------> create table v_fidelity_cards
table v_item_customer_infos created C|CREATE TABLE[0]
-------> create table v_items
table v_item_customer_infos created C|CREATE TABLE[0]
-------> create table v_sales
table v_item_customer_infos created C|CREATE TABLE[0]
-------> create table v_item_tags
table v_item_customer_infos created C|CREATE TABLE[0]
-------> create table v_item_customer_infos
table v_item_customer_infos created C|CREATE TABLE[0]
-------> commit
-------> insert v_fidelity_cards, 3 lines
-------> insert v_items, 3 lines
-------> insert v_sales, 3 lines
-------> insert v_item_tags, 3 lines
no more calls
*/
-- ###########################-- RUNNING cd ../02_sql; ./cluster.sh bounce;
/*
cluster is not running on this server
archiving previous log file
purging log archive (7 days)
starting stormbase cluster .. OK: cluster listening on tcp port 2220
*/
-- ###########################-- RUNNING status.sh
/*
PID: 30157, CMD: STORMBASE, TCP_PORT: 2219
PID: 30244, CMD: CLUSTER, TCP_PORT: 2220
PID: 30248, CMD: CLUSTER, TCP_PORT: 2220
PID: 30249, CMD: CLUSTER, TCP_PORT: 2220
PID: 30250, CMD: CLUSTER, TCP_PORT: 2220
PID: 30251, CMD: CLUSTER, TCP_PORT: 2220
PID: 30252, CMD: CLUSTER, TCP_PORT: 2220
*/
-- ###########################-- RUNNING doc_pg_companion.sql (with ./pg_sql.sh)--Pg_companion
Pre requisite: one Postgresql (PG) instance running somewhere (the PG companion)
You can use PG driver to query SB
Query steps: PG client -> SB cluster -> SB and PG companion -> pgsql client
SB cluster will reply to pgsql client will a "mix" of SB and PG responses
Only queries compatible with PG are supported in this mode
init cluster
The goal is to create SB's data model in PG companion
02_sql> ./cluster.sh init_pg_companion;
--file:../02_sql/cluster.confstart cluster
Start SB cluster in companion mode
02_sql> ./cluster.sh start|bounce;
query cluster
Query SB using PG client
--#SB_CLUSTER debugselect count(line_id) from v_sales; count ------- 3(1 row)--#SB_CLUSTER debugselect count(line_id) from v_sales; count ------- 7(1 row)select item_id,customer_id,sales_date,sales_qty,line_id from v_sales; item_id | customer_id | sales_date | sales_qty | line_id ---------+-------------+------------+-----------+--------- artA | C1 | 20191231 | 5 | ID01 artB | C2 | 20200102 | 6 | ID02 artB | C1 | 20191231 | 4 | ID03 artB | C2 | 20200102 | 7 | ID04 artA | C1 | 20191231 | 5 | ID06 | C1 | 20200102 | 8 | ID05 artA | C2 | 20191231 | 5 | ID07(7 rows) -- ########################### -- RUNNING clear.sh
/*
sure mode, no confirmation prompt
clearing directory INTERNAL_FILES_DIR (../STORAGE/INT) ...
done
clearing directory MAX_PERF_FILES_DIR (../STORAGE/MAX_PERF) ...
done
clearing directory TRANSAC_FILES_DIR (../STORAGE/TRANSAC) ...
done
*/
-- ########################### -- RUNNING doc_transac.sql --Transac sql
SB is not a transactionnal database, but there is small transactionnal mode in SB
This mode can be used to store users, messages
The goal is to avoid having another database for that
Corruption is possible in bi mode, but it is not possible in transac mode
Update with sql in possible in transac mode but not in bi mode
Parameters TCP_PORT_TRANSAC and TRANSAC_FILES_DIR must be set in stormbase.conf
create
create table table_name(col1 text, col2 text, ...) create table tb_message(id text, json text, status text);
table_created OK
insert
insert into table_name('txt1', 'txt2', ...) insert into tb_message values('AAA','text AAA',1);
line_inserted OK
insert into tb_message values('BBB','text BBB','1');
line_inserted OK
insert into tb_message values('CCC','text BBB1','1');
line_inserted OK
insert
select <*|col1, col2, ...> from table_name <|where col1='txt1' and col2='txt2' ...> select * from tb_message;
id json status AAA text AAA 1 BBB text BBB 1 CCC text BBB1 1
select id, json, id, status from tb_message where id='CCC' and status=2;
id json id status
update
update table_name set col1='txt1', col2='txt2' <|where col1='txt1' and col2='txt2' ...> update tb_message set status='2', json='new' where id='AAA';
#rows updated 1
update tb_message set status='2', json='newCCC' where id='CCC';
#rows updated 1
select * from tb_message;
id json status AAA new 2 BBB text BBB 1 CCC newCCC 2
select id, json, id, status from tb_message where id='CCC' and status=2;
id json id status CCC newCCC CCC 2
delete
delete table_name <|where col1='txt1' and col2='txt2' ...> delete tb_message where id='AAA';
#rows deleted 1
select * from tb_message;
id json status BBB text BBB 1 CCC newCCC 2
delete tb_message;
#rows deleted 2
select * from tb_message;
id json status
delete tb_message;
#rows deleted 0
shutdown; -- ########################### -- RUNNING clear.sh
/*
sure mode, no confirmation prompt
clearing directory INTERNAL_FILES_DIR (../STORAGE/INT) ...
done
clearing directory MAX_PERF_FILES_DIR (../STORAGE/MAX_PERF) ...
done
clearing directory TRANSAC_FILES_DIR (../STORAGE/TRANSAC) ...
done
*/
-- ########################### -- RUNNING doc_data_init.sql create col_type t_site_id as text;
reponse success
create col_type t_dept_id as text;
reponse success
create col_type t_item_id as text;
reponse success
create col_type t_customer_id as text;
reponse success
create col_type t_date as text;
reponse success
create col_type t_customer_info as text;
reponse success
create col_type end_user as text;
reponse success
create merge table items( item_id t_item_id, art_label text, dept t_dept_id, avg_week_sales number, sales_price number);
reponse success
create merge table customers( customer_id t_customer_id, customer_name text);
reponse success
create table item_tags( item_id t_item_id, tag text);
reponse success
create table fidelity_cards( customer_id t_customer_id, card_label t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create table item_customer_infos( customer_id t_customer_id, item_id t_item_id, info t_customer_info, valid_from t_date, valid_until t_date);
reponse success
create big table sales( item_id t_item_id, customer_id t_customer_id, sales_date t_date, sales_qty number, line_id text, packaging_id t_item_id);
reponse success
create big table inventory( item_id t_item_id, inv_qty number);
reponse success
create view v_items as select * from items;
reponse success
create view v_item_tags as select * from item_tags;
reponse success
create view v_fidelity_cards as select * from fidelity_cards;
reponse success
create view v_item_customer_infos as select * from item_customer_infos;
reponse success
create view v_sales as select * from sales, items, customers where items.item_id=sales.item_id and customers.customer_id=sales.customer_id;
reponse success
create view v_inventory as select * from inventory, items where items.item_id=inventory.item_id;
reponse success
insert into items values('artA','the article A','dept #1',10,1.5);
reponse success
insert into items values('artB','the article B','dept #2',10,3.2);
reponse success
insert into items values('box1','a box','packaging',10,0);
reponse success
insert into customers values('C1','customer #1')('C2','customer #2');
reponse success
insert into item_tags values('artA','tag #1');
reponse success
insert into item_tags values('artA','tag #2');
reponse success
insert into fidelity_cards values('C1','SILVER','20191201','20191231');
reponse success
insert into fidelity_cards values('C1','GOLD','20201201','20201231');
reponse success
insert into item_customer_infos values('C1','artA','FREQUENT BUYER of artA in 2019','20190101','20191231');
reponse success
insert into item_customer_infos values('C1','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into item_customer_infos values('C2','artB','FREQUENT BUYER of artB in 2020','20200101','20201231');
reponse success
insert into sales values('artA','C1','20191231',5,'ID01','box1');
reponse success
insert into sales values('artB','C2','20200102',6,'ID02','');
reponse success
insert into sales values('artB','C1','20191231',4,'ID03','');
reponse success
insert into sales values('artB','C2','20200102',7,'ID04','box1');
reponse success
insert into sales values('artC','C1','20200102',8,'ID05','');
reponse success
insert into sales values('artA','C1','20191231',5,'ID06','box1');
reponse success
insert into sales values('artA','C2','20191231',5,'ID07','box1');
reponse success
insert into inventory values('artA',32);
reponse success
insert into inventory values('artC',12);
reponse success
refresh dirty view;
reponse success
-- ########################### -- RUNNING doc_version.sql --Version
Versions information
./_SRC/version.h
#define STORMBASE_VERSION "v1.17.10"
// v1.5.09 bug fix of core dumps
// v1.5.10 remove call f_check_disk_space (except the one at startup)
// v1.5.11 add if( insert_altered == TRUE )
// v1.5.12 coredump if query during refresh, see do_not_save
// v1.5.13 bug introduced by 1.15.11
// v1.5.14 more debug for orphans
// v1.5.15 bug at citymart, when select and unfrag at the same time
// v1.5.16 INITIAL_LOAD
// v1.5.17 UNIQUE_SOFT
// v1.5.18 remove last call to f_check_disk_space (bug City Mart)
// v1.5.19 remove disk check also
// v1.5.20 just a git test
// v1.5.21 bug fix in uniquesoft
// v1.5.22 bug fix City Mart error 29-00
// v1.5.23 AUDIT mode
// v1.5.24 Forgot to divide by column count, which generated too many threads
// v1.5.25 Fix rare parsing errors
// v1.5.26 Add TOTO function
// v1.5.27 Increase GLOBAL_COL_TYPE_CHECK_LIST_LEN
// v1.5.28 Debug error ERROR 29-131 in function : new_object
// v1.5.29 Allow orphans in tables linked to big tables, if and only if they are empty
// v1.5.30 Fix for ERROR 29-131 in function : new_object
// v1.5.31 Cleaning of unused CELL file at startup
// v1.5.32 Improve where check when I have same where done before without end_user check
// v1.5.33 Small evo
// v1.5.34 Bug fix in where management, exact match where not detected (always considered as partial matches)
// v1.5.35 NEW_COLUMN_NULL_STRING, default "NO_DATA"
// v1.5.36 Group by size not correct if where group by on disk
// v1.5.37 Error in TURBO creation because of null management
// v1.5.38 Bug in license check if max line > 4G
// v1.5.39 Bug cache size was zero after cache maintenance
// v1.5.40 Big bug in where clause, were considered as same : where c1 in ('v3','v1') / where c1 in ('v3')
// v1.5.41 Change cache management, priority to group by
// v1.5.42 Bug in where cache (take partial match before ready)
// v1.5.43 Bug City Mart when 30 sessions hit, core dump in f_create_col_type_check
// v1.5.44 Bug with turbo create ok but refresh ko when nothing was added in the table
// v1.5.45 Bug when several nn views in where clause
// v1.5.46 Evo, nn view, loop on nn_view instead of main view to find col_type in common
// v1.5.47 Bug non reproductible
// v1.5.48 Bug non reproductible
// v1.5.49 Bug Turbo, I get -1.9e-05 in the export, which fails during insert (change in strombase.lua)
// v1.5.50 Bug in refresh if more than 30 active sessions
// v1.5.51 Bad timing, bad error message, ALLOW_ORPHAN
// v1.5.52 CPU_COUNT param
// v1.5.53 Bug in LUA sort after v1.5.49
// v1.5.54 SB_NOT_IN_BETA & pwhere->pwhere_col_pos_to_is_not
// v1.5.55 EYC_OPTIM
// v1.5.56 EYC_OPTIM #2
// v1.5.57 EYC_OPTIM #3
// v1.5.58 MAX_PERFORMANCE
// v1.5.62 MAX_PERFORMANCE
// v1.5.63 SB_NOT_IN_BETA -> SB_NOT_IN (nin)
// v1.5.64 Several things ...
// v1.5.65 Bug fix in f_permission_has_changed
// v1.5.66 Many things
// v1.5.67 Many things & fix core dump REMA
// v1.6.00 First official version with MAX_PERF
// v1.6.02 Bug fix MAX_PERF
// v1.6.17.5 core CM
// v1.6.19 several bugs in where
// v1.6.20 refresh permissions integrated to refresh dirty views
// v1.6.21 less log
// v1.6.22 MAX_PERF->lval_count can't be used when loading max_perf from file (=0)
// v1.6.23 evaluate gby_booster_len better when booster not used
// v1.6.23.1 account for null value
// v1.6.24 bug fix and dev started for where indexes
// v1.6.25 dev end for where index + bug fix
// v1.6.25.1 where index stable
// v1.6.25.2 free missing
// v1.6.25.3 City Mart error 75722
// v1.6.25.4 trace for error 75722 investigate
// v1.6.25.5 trace for error 75722 investigate (origin of sessions)
// v1.6.25.6 move irel2 limit from 20 to 30
// v1.6.26 bug fix (core REMA UAT)
// v1.6.27_ bench inter
// v1.7.00 bench inter first stable version
// v1.7.01.1 memory leaks
// v1.7.02 use temp cell array for file load, to avoid fragmentation
// v1.7.03 core with delete in TEST_BENCH_INTER=y
// v1.7.04 PARETO_LIMIT LOG_VERBOSE
// v1.7.10 manage simple select (w/o group by)
// v1.7.10.1 bug in select sum(col) sqls
// v1.7.10.2 bug REMA, profile sql falls in wait, no more connections accepted
// v1.7.10.3 bugs
// bug #1 when a pareto column is in group by several times, memory pb in valgrind
// bug #2 double free error if group by with index
// bug #3 invalid result for unique & uniqsoft (linked to pareto values)
// v1.7.10.4 bug, NN view where clause : select other view drop twice
// v1.7.10.5 core with this SQL: SELECT MOY,sum() FROM V_SALES WHERE e(Y0,'2016') GROUP BY MOY CALLBACK limit(10000);
// v1.7.11 TEST_BENCH_INTER = 'y' by DEFAULT
// v1.7.12 memory problem
// v1.7.13 incorrect result for select without group by
// v1.7.14 memory check
// v1.7.15 memory check #2
// v1.7.16 core dump with WHERE end_user = 'NO_PROFILE_FOR_THIS_USER_APP'
// v1.7.17 core dump with select returning more than 2 million rows
// v1.7.18 in flat select, treat callback limit(x) during select execution, not after
// v1.7.19 bug with having and callback clause
// v1.7.20 manage nulls (sum=0 are displayed)
// v1.7.21 get rid of "port already in use issue"
// v1.7.22 bug fix after v1.7.20
// v1.8.00 preparation for cluster version, IVAL
// v1.8.01
//1/ core in unlucky cases,
//2/ manage top/bottom query on high sparsity group by w/o indexes
//3/ big bug on countdistinct(col of big table)
// v1.8.02 preparation for cluster version, ivallist/ivalbin
// v1.8.03 core when doing query with many columns (15) many rows (1000000)
// v1.8.04 move step2 limit from 30 to 40
// v1.8.05 bug (core or 0) when expression used several times in select
// v1.8.06 core in drop select
// v1.8.07 core at REMA in f_mem_get_object_id
// v1.8.08 correct v1.8.07
// v1.8.09 OOM with big countdistinct
// v1.8.10 add logs, core REMA when refresh without cache drop
// v1.8.11 col_type_check issue at LGEP
// v1.8.12 allow default value for orphan
// v1.8.13 free where index memory before save
// v1.8.14
// countdistinct should not count the NULL_STRING
// return error 140 for SQL during refresh drity views
// v1.8.15
// memory leak in data model exec
// DEBUG_MEM & CELL_BLOCK_TMP_ID
// v1.8.16 bug and memory leak in where_info
// v1.8.17 manage maxstr and minstr
// v1.8.18 countdistinct memory limit with MAX_COUNT_DISTINCT_THREAD_SIZE
// v1.8.19 Fix tentative for bug "_irel_ok_count != irel_ok_count" at Rema
// v1.8.20 Bug fix in "delete where nin"
// v1.8.21 Bug in count distinct with group by index
// v1.8.22 Bug if where col in ('A','A')
// v1.9.00 REFRESH_ONLINE (main development)
// v1.9.00 also remove TEST_BENCH_INTER
// v1.9.00 also remove "select from empty view error" in max_perf context
// v1.9.00 also fix a mutex related bug (problem at REMA) in f_select (see f_get_where_info_status(where_info))
// v1.9.00 also remove "select from empty view error" in max_perf context
// v1.9.00 also countd_first_ivals, reduce memory consumption for countdistinct on high sparsity columns (problem at LGEP)
// v1.9.00 also new where syntax : c like 'something' (equivalent but faster to regex(c,'.*something.*')
// v1.9.00 also manage sort up to 5 columns : sort( col1 , dir1, col2 , dir2, col3 , dir3, col4 , dir4, col5 , dir5 )
// v1.9.00 also removes small memory leaks
// v1.9.01 few bug fixes
// v1.9.02 control thread every 60 sec (6 sec before)
// v1.9.03 bug fix in refresh view sql creation
// v1.9.04 bug fix select on parent view was cached too early
// v1.9.05 removed automatic refresh dirty at startup (collision with clear_max_perf at Monoprix)
// v1.9.06 rework fix v1.9.04
// v1.9.07 bug fix linked to clear_max_perf.sh and refresh_online
// v1.9.08 bug in NN views
// v1.9.09 small memory leak fix
// v1.9.10 bug at startup when there is a big_online based view and a non big_online based view (with active child view) seen at REMA
// v1.9.11 core at REMA
// v1.9.12 core at REMA
// v1.9.13 bugs
// v1.9.14 change select status after tcp response (to avoid conflict with cache dropping)
// v1.9.15 manage not exists with NN join. Syntax: "where view!.col ..."
// v1.9.16 bug fix maxstr
// v1.9.17 problems NN views
// v1.9.18 problems with where view!.col when using index
// v1.9.19 bug fix "_irel_ok_count != irel_ok_count" error (REMA)
// v1.10.00
// review non big/merge views
// manage "with ... as ( ..."
// v1.10.01 bug fix "insert values" with : in it did not work
// v1.10.02 core with non big/merge views, bug with countdistinct in non big/merge views
// v1.10.03 core at REMA with online_views
// v1.10.04 insert optim for big merge tables
// v1.10.05 push max number of selects from 1E6 to 10E6
// v1.10.06 with pareto first rare line is seen as empty (regression after v1.10.02)
// v1.10.07 SB_DISTINCT_LIST
// v1.10.08 analytic sql rework
// v1.10.09 bug fix countdistinct (memory REMA)
// v1.10.10 manage sort with padding, for instance sort(1,'desc5')
// v1.10.11
//change default parameters values
//desc <|table_name|view_name> <|1|2>
//bug fix core REMA
//display integers w/o digits
//bug fix (invalid syntax in with trapping)
// v1.10.12
// rework on analytic functions
// support select ... and .. syntax (without where)
// v1.10.13
// avoid this kind of display with CLI: 6.000002
// manage select *
// v1.10.14
// allow refresh online with non big/merge table (try)
// function select don't look at child views
// U_INT_LIMIT
// v1.10.15 core at REMA in live refresh
// v1.10.16 core using with + profile
// v1.10.17 fn_lua
// v1.10.18 fn_lua rework
// v1.10.19 analytic rework
// v1.10.20 ALLOW_ORPHAN=y by default
// v1.10.21 new sort: sort(2,'asc5-') = asc, left pad of 5, use char before - for sort
// v1.10.22
// SB_NO_VIEW_OBJ
// cap memory to MAX_GBY_BOOSTER_LEN for select using index (20M) before (ITM)
// when ambiguity on column (art_cinv) change dimension priority
// v1.10.23
// more mutex protection (core REMA)
// v1.10.24
// recycle max_perf (core REMA)
// flag view as dirty now is independant from ALLOW_ORPHAN (otherwise daily_mvt becomes dirty after live refresh)
// v1.10.25
// bug fix on with
// v1.10.26
// bug fix describe
// bug delete where app_origin='GOLD'
// v1.10.27 don't check max session in f_create_col_type_check (created a deadlock at REMA, cf. SQL using "with clause")
// v1.11.00
// analytic big rework
// =null manaaement
// rework on refresh protection
// several other things
// v1.11.01
// optim of big groub by & count distincts
// v1.11.02 stormbase.lua limit case in ratio/fn_stock
// v1.11.03 bug fix in =null management with index
// v1.12.00 transactional initial version
// v1.13.00 PARTITION_LINE_COUNT
// v1.13.01 rework v1.7.10.3 bug #1, with a better fix
// v1.13.02 non big/merge view with sequential read optim
// v1.13.03 protect data_model_exec execution (anticipation of pb in HA mode at REMA)
// v1.13.04 bug fix error 140 returned if refresh dirty view w/o modification
// v1.13.05 fix blocking locking introduced by v1.13.03
// v1.13.06 parse error 146 fix in with clause
// v1.13.07 rework partition (delete, data model modif etc...)
// v1.13.08
// core at REMA (when exec show_table and refresh dirty in parallel)
// v1.14.00 initial version with dynamic C code
// v1.14.01 fn_pivot optim
// v1.14.02 core at REMA
// v1.14.03 core at REMA
// v1.14.04 core at REMA
// v1.14.05 core at REMA
// v1.14.06 core at REMA
// v1.14.07 '' management
// v1.14.08 core at Inter
// v1.14.09 PIN_MEMORY parameter, bug fix fn_store
// v1.14.10 optimization round
// v1.14.10 manage p(view.column) from no_view syntax
// v1.14.10 manage group by with_name.col_name
// v1.14.11 manage * in permissions
// v1.14.12 bug fix in permissions (unknown users were super users)
// v1.14.13 manage insert into table (col1, ..) values (...)
// v1.14.14 manage batch insert: insert into table (col1, ..) values (...) (...)
// v1.14.15 manage count(*)
// v1.14.16 manage driver version, and send column types to client
// v1.14.17 manage count(distinct col)
// v1.14.18 non big online table are not recalculated at startup
// v1.14.18 IREL_TO_ILINES_MAX_LENGTH ILINE_TO_IVALS_MAX_LENGTH, bug fix with big select *
// v1.14.19 bug fix SELECT_ALL
// v1.14.20 new rule on nn join, fact table and non empty dim have priority over empty dim
// v1.14.21 display problem of uniquesoft result
// v1.14.22 bug in f_max_perf_run_sequential_no_pareto_no_group_by_no_where_no_fn_loop_one_count_no_compression
// v1.14.23 add column in empty view generates empty files in MAX_PERF, next boot of SB fails, now this case is managed
// v1.14.24 rework // v1.14.23
// v1.14.25 dropping an altered object is no longer allowed (generates bugs)
// v1.14.26 update (start)
// v1.14.27 core at monop (thread_count in fn_init_fn_res in caped to CPU_COUNT+1)
// v1.14.28 bug fix, "save" without a "refresh dirty view" before will corrupt _DESC_Z file
// v1.14.29 removed dynamic library libnsl.so (not compatible with RedHat 8)
// v1.14.30 optim select using booster, cache col_type checks
// v1.14.31 add signature check to dynamic C function
// v1.14.32 big bug impacting delete with several columns in where clause
// v1.14.33 secure consistency in MAX_PERF
// v1.14.34 batch insert values optim
// v1.14.35 dates are converted to float by fn_merge
// v1.14.36 bug in col_type_check cache
// v1.14.37 bug in parsing of complex with (more than 50 () )
// v1.14.38 secure consistency in MAX_PERF #2
// v1.15.00 MAX_PERF_FILTER v0
// v1.15.01 compute max_perf view per view (in order to save volatile memory)
// v1.15.02 bug fix in parsing
// v1.15.03 bug fix when migration from pre v1.15.00, review IN_MEMORY_BIG_TABLES management
// v1.15.04 rework v1.15.03
// v1.15.05 rework fn_having (add sum and sumpareto)
// v1.15.06 allow using having several column with same col_type in a table
// v1.15.07 add log
// v1.15.08 err 53 if dim is aliased (tableau)
// v1.15.09 auto convert from min/max to minstr/maxstr (tableau)
// v1.15.10 pass line_count to loop function
// v1.15.11 error message after fopen
// v1.15.12 refresh_online + full delete + where clause matching nothing issue
// v1.15.13 bug fix in loop result
// v1.15.14 bug fix in formula on text expressions
// v1.15.15 small change to make test faster
// v1.15.16
// add sb_vals_version for compatibility check between SB and .so code
// manage multi thread of loop
// v1.15.17 SB_VALS_VERSION 2
// v1.15.18 manage empty file insert without sending error 61
// v1.15.19 bug fix in transac (impossible to create a 2nd table)
// v1.15.20 manage kill signals
// v1.15.21 core at REMA (sql with non existing profile)
// v1.15.22 bug in min and max
// v1.15.23 core with list on number column
// v1.15.24 rework v1.15.21 and add CHECK_CORRUPTION_INDEX
////////////// Jan 2020
// v1.15.25
// analytic function improvement
// v1.15.26 strange bug Inter (pré prod)
// v1.15.27 loop multi thread update
// v1.15.28 loop multi thread update #2
// v1.15.29 bug inter, many INDEX:GROUP_BY.INDEX.TMP.MAX_PERF indexes have been saved by error, so I had to increase GLOBAL_INDEX_LIST_LEN (for a bad reason)
// v1.15.30 bug fix in loop multi thread
// v1.15.31 optim in loop multi thread
// v1.15.32 remove printf, context lost issue (session change)
////////////// Feb 2020
// v1.15.33 problem if more than 10000 end users
// v1.15.34 bug fix in multi thread loop
// v1.15.35 bug fix in permission (very rare case, INTER)
// v1.15.36 bug fix in multi thread loop with where clause
// v1.15.37 allow table.col in select
// v1.15.38 optim refresh (multi thread, etc..)
// v1.15.39 change index col_type priority (1->table_count, then 0)
// v1.15.40 optim insert
// v1.15.41 improve lua error management
// v1.15.42 fix regression in partial view introduced in v1.15.38
// v1.15.43 MAX_PERF_FILTER_FN not working if MAX_PERF_COMPUTE_BIG_TABLES_JOIN set to n
// v1.15.44 NOT_IN_MEMORY_COLUMNS
// v1.15.45 MAX_PERF_USE_IVAL_OFTEN_LIMIT (pareto_conv_reverse & pareto_conv_normal not computed for some columns)
// v1.15.46 UNFRAG_BLOCK_PER_BLOCK
// v1.15.47 NOT_INDEXED_DIMENSIONS
// v1.15.48 bug fix
// v1.15.49 exp_iline_gby_counts U_INT -> long
// v1.15.50 loop/pass current values update
// v1.15.51 manage null in f_log_s (happen with lua errors)
// v1.15.52 manage \n\r
// v1.15.53 avoid "lua_pcall error for" error message (unnecessary formula check on group by columns)
// v1.15.54 SB_LAST, fn_key
////////////// March 2020
// v1.15.55 add refresh log in non verbose mode, improve other logs, bug in sb_last
// v1.15.56 null & NAN management in updates
// v1.15.57 fn_pivot improve, fn_custom out_multi_thread_autorized
// v1.15.58 sb_parallel
// v1.15.59 free dyn fn before and after
// v1.15.60 mem leak round
// v1.15.61 initial insert value, example INSERT_FORCE_VALUE.t_art_site_key:-1
// v1.15.62 allow update even if delete and also in refresh online
// v1.15.63 fix potential collision in save
// v1.15.64 bug fix table line count in loop/partition context
// v1.15.65 pre loop to load array data into memory
// v1.15.66 flush cache of "no_view" select after refresh dirty view
// v1.15.67 paritions_scope
// v1.15.68 check return code of pthread_create
// v1.15.69 fix typo in partitions_scope
// v1.15.70 limit INSERT_FORCE_VALUE to big tables and big_online tables
// v1.15.71 ERR_185
// v1.15.72 ERR_186 (select refused, too many active sessions)
// v1.15.73 mem leak round
// v1.15.74 thread/mutex round
// v1.15.75 line_count_after_last_refresh_dirty/rework loops (deleted lines not treated, possible to treat new lines only)
// v1.15.76 fix problem introduced in v1.15.48
// v1.15.77 occasional segfault for bad sql
// v1.15.78
// core at REMA
// v1.15.79 max_perf, drop the objects no longer computed (because of NOT_INDEXED_DIMENSIONS, NOT_IN_MEMORY_COLUMNS etc..),
// otherwise it is still used by selects
// v1.15.80 max_perf, if a big table column is not in memory replace it by joined dim column
// v1.15.81 fix lua exec with error generate segfault
// v1.15.82 ACTIVITY_SECURITY
// v1.15.83 array not in memory (iline) error between insert and refresh dirty
// v1.15.84 avoid memory peak in refresh
// v1.15.85 --#SB_f_get_max_perf tag
// v1.15.86 manage quotes in loop
// v1.15.87 REFRESH_FORCE
// v1.15.88 rework // v1.15.83
////////////// April 2020
// v1.15.89
// same as // v1.15.80 for select *
// v1.15.90
// ival refactor (fn_toto)
// v1.15.91
// rework permission view priority (cap_zone has site)
// v1.15.92
// bug fix SET_NULL_COLUMN
////////////// May 2020
// v1.15.93
// fn_refactor_col_type
// v1.16.00
// computed columns v0
// v1.16.01
// bug fix in table drop/create manipulation, refresh computed_columns, refresh cache
// v1.16.02
// like operator becomes case insensitive
// v1.16.03
// analytic functions results were always strings, never numbers
// v1.16.04
// incorrect caching in with clause based on other with clause
// v1.16.05
// allow fn_store function to be col_type
// v1.16.06
// change col_type_check cache logic
// v1.16.07
// bug fix
// v1.16.08
// SESSION_SECURITY
// v1.16.09
// use index in permission and all type of where clause
// v1.16.10
// --#SB_log_verbose_tag tag
// v1.16.11
// no more cache with SB tags
// v1.16.12
// optim countdistinct
// v1.16.13
// regression introduced by "non efficient index management"
// v1.16.14
// fix regression of v1.16.13
// v1.16.15
// index/where clause collision
// v1.16.16
// --#SB improve
// v1.16.17
// bug fix
// v1.16.18
// _MAX_COUNT_DISTINCT_THREAD_SIZE
// v1.16.19
// SEQUENCE_COLUMNS
// v1.16.20
// table#col syntax not working with partitions
// v1.16.21
// bug in avg
// v1.16.22
// error 43-138 is with (or with_something) is after select
// v1.16.23
// small bugs
// v1.16.24 manage lua compilation issue (avoid seg fault if this happens)
// v1.16.25
// bug fix in parsing
// v1.16.26
// piline_gby_to_op_col_pos_result_list -> RES_FLOAT_ARRAY (moved to double precision in aggregation)
////////////// June 2020
// v1.16.27
// core in SEQUENCE_COLUMNS context
// v1.16.28
// allow `lua formula` in all select, create tags `#DYN_SQL# and `#LOAD#
// v1.16.29
// avoid non fatal error mess display when testing the lua formula
// v1.16.30
// mem leak round
// v1.16.31
// bug fix ACTION store_code/dc_code with same ct in big table -> where clause problem using index
// v1.16.32
// support set param='val'
// v1.16.33
// fn_pivot, improve orphan management
// v1.16.34
// bug fixs analytic function
// v1.16.35
// index not computed (not compatible) for big/merge with sequence col, more verbose
// v1.16.36
// remove useless code for flat select
// v1.16.37
// SB tag explain
// v1.16.38
// params USE_INDEX_LIMIT, USE_INDEX_WITH_SORT_LIMIT, REPLACE_COUNTDISTINCT_BY_COUNTSEQUENCE
// v1.16.39
// remove obsolete code
// v1.16.40
// allow code mistakes for tmp arrays
// v1.16.41
// perf problem in sequence context
// v1.16.42
// seg fault in refresh_online + sequence context
// v1.16.43
// computed col rework, SO_FILE_NAME
////////////// July 2020
// v1.16.44
// bug: view partition include refresh_online view on partition
// v1.16.45
// manage callback in desc
// v1.16.46
// bounce command
// v1.16.47
// partition and refresh_online collision + bug fix core when insert triggers a new partition and next refresh is online in sequence context
// v1.16.48
// bounce command #2
// v1.16.49
// refresh_online view should not be flagged as dirty (needed for doc)
// v1.16.50
// potential bug when adding a column
// v1.16.51
// other bugs
// v1.16.52
// with clause not working after v1.16.47
// v1.16.53
// bugs/improvements allow fn_merge without with
// v1.16.54
// delete "invisible bug" fix
// v1.16.55
// SB_SYSTEM
// v1.16.56
// refresh dirty table
////////////// August 2020
// v1.16.57
// small things
// v1.16.58
// partition #10 does not trigger partition #11
// v1.16.59
// PERPETUAL license -> 1000 years
// v1.16.60
// SLEEP_AFTER_SQL (y/n)
// v1.16.61
// SB cluster, multi process mode (param NB_WORKERS in cluster.conf) & timeout management (param SQL_TIMEOUT in cluster.conf)
////////////// September 2020
// v1.16.62
// SB GENERATE_REPLAY for external sql only
// v1.16.63
// rework desc col_type
// v1.16.64
// mem leak round
// v1.16.65
// small things
// v1.16.66
// memory not cleaned in lua when table too big is allocated -> MAX_FN_DISPLAY_COL 1000
// v1.16.67
// keep lua_State attached to session (mem leak before)
// v1.16.68
// rework no cache mode
// v1.16.69
// manage some problems likes to restart after corruption
// v1.16.70
// backup command and _DESC.bck write
// v1.16.71
// save.lock
// v1.16.72
// investigate seg fault DG
// v1.16.73
// seg fault DG during purge
// v1.16.74
// computed columns rework, SB_VALS_VERSION 7,
// v1.16.75
// no delete if where clause returns zero rows, set_dirty,
// improve save.lock, prompt sure? in clear shells, manage save.lock in start.sh,
// change date format in sql.sh, add contexts to desc
// v1.16.76
// SEQUENCE_COLUMN moved back to pareto
// v1.16.77
// column type lost after v1.16.67 (all sorts were incorrect)
////////////// October 2020
// v1.16.78
// computed_column (without s), real column gets priority over computed col, INIT_FILE_PATH
// v1.16.79
// rework INIT_FILE_PATH, small bug fix for countsequence (keep logic order for partitions and online_refresh)
// v1.16.80
// change USE_INDEX_WITH_SORT_LIMIT default (before: 2, now: 10), new param SEQUENCE_COLUMN_COMPANIONS, mem leak round
// v1.16.81
// sql.sh regression time not in locale timezone,
// sql.sh no more socket close after 100 executions (kept without sql.sh)
// manage continue_on_error/stop_on_error as SQL (in C code, not in nodejs driver)
// fn_free_context_name sb_vals_version = 8
// mem check on computed columns
// rework transac sql
////////////// November 2020
// v1.16.82
// index on computed columns
// v1.16.83
// manage quote inside comments
// v1.16.84
// no log in init.sb (to avoid lines in doc after refresh dirty)
// v1.16.85
// NOT_IN_MEMORY_BIG_TABLES
// v1.16.86
// computed columns with param, big code change to allow this
////////////// December 2020
// v1.16.87
// computed columns not compatible with unique operator, bug in loop with where .. in (..)
// v1.16.88
// optim round + code clean, bug fix min->minstr converstion
// v1.16.89
// the rare lines are no longer inserted (with null values) in the often lines
// v1.16.90
// add fn_get_col_type_ival_count to U
// v1.16.91
// in loop: create thread_count*thread_count fn calls, to make sure I always have thread_count running
// , otherwise some thread (on old line for instance) may finish a lot before others
////////////// Jan 2021
// v1.16.92
// free sql_params in shutdown,
// , background done in start.sh and no longer in server.c (rewrite of start.sh)
// , use longjmp+return from main instead of exit (exit not working with LeakSanitizer)
// , improve housekeeping in transac sql
// , desc parameter <|verbose>
// , manage path/to/file insert with merge tables
// , explain sb_tag can be used even if there is an error in the sql execution
// , bug fix: hot change of log_verbose were not working
// , trap dlopen error
// v1.16.93
// replace | by ! in values returned (problem with table in html doc otherwise)
// , cluster: desc/set, custom.js
// , SPARSE_TEXT rework
// , drop COL_TYPE_INDEX
// , stormbase_common fix double call of error callback
// , fix potential corruption in defrag+save process
////////////// Feb 2021
// v1.16.94
// change big_online behavior, the full deletes are directly applied to table
// (not during refresh), and table are no longer volatile
// new STORAGE_FORMAT_VERSION (5)
// , error 205 (traps a theoretical case that should not happen in real life)
// , bug fix if clear_max_perf in refresh_online context
// v1.16.95
// bad description in stormbase.lua
// , explain sb_tag not working with driver calls
// , bug fix in sb_parallel
// , sql.sh --file:xx returns 0 instead of -1 if xx is not found
// , incorrect warning message when tcp TCP_PORT_TRANSAC is in use
// , error/segfault in fn_merge when col_type is empty
// , avoid lua exception in to_date when null value is passes
// , improve version.h
// , request_temporary_license.sh
// , license.c issue
// , bug fix in select comp_col('paramVal1'), comp_col('paramVal2') .. group by comp_col('paramVal1'), comp_col('paramVal2')
// , merge v1.16.94_HF1 segfault in multi user context (REMA)
////////////// Mar 2021
// v1.16.96
// upgrade nodejs,
// improve analytics documentation,
// change default param values TCP_PORT/PARTITION_LINE_COUNT,
// stop.sh refused during save,
// new param CELL_BLOCK_INCREMENT_SIZE_B for dev,
// improve some eror messages,
// delete old cell files instead of setting size to zero,
// add non regression test on fragmentation,
// cb shortcut for callback,
// allow column_name in all callbacks,
// allow '..`...',
// select_context_type in COMPUTED_COL_PREREQ (SB_LIB_VERSION 9),
// add sb_lib_version check,
// optimize select when same computed column appears several times,
// bug fix: loop freezes if SB is started in foreground mode,
// ALLOW_WHERE_ERROR, ALLOW_GROUP_BY_ERROR
// add fn_get_col_type_ival to UTILITY
// add UNKNOWN_IVAL in common.h
////////////// Apr 2021
// v1.16.97
// tableau compatibility: rework 02_sql/cluster.js 02_sql/lib/tcp_proxy.js 02_sql/lib/pgsql.js
// ESCAPE_SEPARATOR_INSIDE_DOUBLE_QUOTE (y/n)
// char text_update_sb_free; //SB_LIB_VERSION >= 10
// exp_ival3s removed
// new parameter: MAX_PERF_INDEX_ONLY
// rework SPARSE_TEXT type
// new command: set_sparse_text
// new command: defrag
// new parameter: DEBUG
// improve error login in csv insert
// new parameter: SKIP_LINE_KO
////////////// May 2021
// v1.16.98
// TRUNC_NUMBER param to support 4.04e-06 etc
// seg fault when p(computed_column)
// remove pareto conversion from analytic.c (done in max_perf_pre.c), note: big code change in analytic.c
// bug fix in computed columns
////////////// June 2021
// v1.16.99
// allow this: set 'insert_force_value.the_col_type'='something';
// bug fix: in computed col type A when needed column is compress
// bug fix: loop not done in full delete context
// ALLOW_ERROR param compatible with computed_columns (needed columns)
// callback can be replaced by |
// new callback fn grep
// bug fix in desc col_type (ival_count was text)
// secure thread creation during insert
// security (warning) for insertion of values longer that 1000 char -> treated as null
// several bug fix with select_slow
// cell arrays with file for sparse_text (pcarr->f_yn)
// pthread_create issue with 60K+ files in MAX_PERF (REMA)
// use infinite loop instead of recursivity in socket management (fn f_call) to avoid "Bus error"
// java jdbc driver, remove socket close/create every 100 calls (no longer needed because "Bus error" is fixed)
// new command set_text (number to text)
// optimize MAX_PERF init (VIEM_POS_2_IN_MEMORY_PARAMS)
// review comp col sharing (_f_comp_col_share_yn)
// bug fix comp col type A were not working with select_slow
// bug fix delete of empty table/partition was treated as full delete
// bug fix on with clause when col_type is empty
////////////// July 2021
// v1.17.00
// code clean
// core in where clause (dev case only)
// seg fault fix in partition/data model change/select * context
// fix regression introduced v1.16.99 in "with clause"/partition context
// bug fix: select_slow was not working with "with clause"
// seg fault in dev context (ARRAY_BLOCK size 2), because of NULL_IVAL
// optim query on col_type with high sparsity (ival_to_small_ival)
// limit number of threads for small selects
// GBY_ival_idx_to_gby_ivals_10 not used with high sparsity
// v1.17.01
// more logs in load
// parameter SPARSE_TEXT_KEEP + bug fix in SPARSE_TEXT
// TRUNC_NUMBER param is obsolete (1-e3 notation supported in all cases)
// support loop table(*) syntax
// add sb_export in common.c
// bug fix: where clause "=null" on join column match nothing (because index was used), now fact table is checked instead of using the index
// desc .. sql
// fix memory overlap issue (detected by valgrind)
////////////// September 2021
// v1.17.02
// fix regression of v1.17.00 on select_all
// ALLOW_WHERE_ERROR is not working with nn views
// no #lines limit for col_type checks without where clause
// better management of minstr/maxstr (using countd_first_ivals in merge operations when possible)
// bug fix, where clause issue in partition+select_slow context
////////////// October 2021
// v1.17.03
// bug fix in size.sh
// computed column type B
// add computed col parameters to fn_get_needed_columns (SB_LIB_VERSION 11)
// bug fix: sum(comp_col('param1','param2')) not working
// v1.17.04
// seg fault in countdistinct/select_slow context when #ivals > #lines in table
// bug fix in partition/"computed col with param" context
// small mem leaks fix
// disable index use for where clause containing null:
// if there is an orphan in a dimension, where col=null was returning orphan rows without index (or for irels rarely used)
// but nothing with index on irels often used
// seg fault on where clause in partition context
// manage unset with INSERT_FORCE_VALUE parameter
// computed col type B not working on pareto columns
// regression IN_MEMORY_BIG_TABLES params not taken into account
// seg fault with unique+countdistinct on same type A computed column
// pb only happened because pareto conversion was applied twice
////////////// December 2021
// v1.17.05
// lock not released after refresh permission if no permission changes
// debug mode in permission + refresh_force mode
// introduce PERMISSION_SUPER_USER_IVAL to avoid computing array permission in wildcard context
// IN_MEMORY_BIG_TABLES does not apply to child partitions
// add fn_update_idx1
// bug fix, with clause problem in partition context (problem is general but visible only in select_slow context)
// new parameter QUERY_TABLE_ALLOWED (tables can be queried directly)
// new parameter SKIP_REFRESH_FOR_NOT_IN_MEMORY_BIG_TABLES (views on big table are not refresh)
// trap system() error
// load init file before max_perf during startup (otherwise after a clear_max_perf in_memory parameters overload is not taken into account)
// change limit for select_all (20E6 -> MAX_GBY_BOOSTER_LEN/10)
// allows to specify column on which the with clause should be apply (when several columns have the same col_type in the view) (see alias_group_by_col)
// seg fault with #--SB explain, in specific context (very rare)
// for number columns and in some cases only, null values (zero len strings read from file) were inserted as zero
// new parameter ALLOW_EXP_ERROR
// group by clause can by omitted
// bug fix in export callback function, a line with OK was added in the export file
// bug fix in computed columns param fn('aaa,bbb') was treated as fn('aaa','bbb')
// new callback functions: open_join and keep_columns
////////////// March 2022
// v1.17.06
// get_sb_opt management in compile.sh
// add ./_SO_LINUX to LD_LIBRARY_PATH (other needed .so can be put in _SO_LINUX)
// select without group by not working when more than 2 group by columns
// OOM in open_join context
// null number column were displayed as # in open_join context, now it is zero
// improve #DYN_SQL# and #LOAD# management
// union callback function
// change GENERATE_REPLAY behavior, generates 2 files now :
// - stormbase_replay1.sql (before dyn sql)
// - stormbase_replay2.sql (after dyn sql)
// - tag #LOAD_KEEP is also introduced
// remove some logs "warning view in memory with non merge dimension (same line count) ..."
// fix seg fault with many group by columns
// show lua error even when log_verbose is n
// bug fix in union
// string formatting done to early in the callback process
// remove callback compilation check before execution
// line. can be omitted in add_number/text formulas
// new callback function rename
// "nan" strings are now treated as zeros for number columns
// bug fix round(0,2) was returning 0.5 instead of 0
// problems with non in memory tables (indexes were lost)
// rework of monitor.sh
// bug fix when using batch insert values with numbers
// improve UTILITY (SB_LIB_VERSION 12)
// standard update function moved to common.c (in order to provide code samples)
// automatic computed column creation from fn_computed_col (only A type for the moment)
// COMB_COUNT moved from 5 to 6
// work_area added to SB_VALS (SB_LIB_VERSION 13)
// display ms in log if DEBUG=y (see STARTUP_TIME_MS)
// bug fix in unsigned int limit check
// ./sql.sh change retry delay from 1 minute to 10 minutes
// fn_update_idx1_num
// bug fix open_join in partition context not working -> SB crash
// set param_name=default
// max_perf not calculated for empty views
// -> select changed to select_slow on empty views
// -> select not run against empty partition/child view to avoid bug in select_slow context
// change MAX_GBY_BOOSTER_LEN from int to long
// v1.17.06 useless init in fn_store/fn_merge context
// v1.17.06 RESULT_PARAM optim, members moved to MAX_PERF_FN_PARAM
// v1.17.06 rewrite of index/booster algo
// v1.17.06 combined index (replaces select w/o booster)
// v1.17.06 no select against empty partitions
// v1.17.06 optim where clause on ival with high cardinality in index context
// v1.17.06 put back "optimize MAX_PERF init (VIEM_POS_2_IN_MEMORY_PARAMS)", view_pos issue recycle fixed
// v1.17.06 new param ACTIVATE_NEW_DEV, used for combined index activation in this verson
// v1.17.06 select on not in memory views return empty --> now returns a clear non blocking message
// v1.17.06 set_dirty will also flag partitions as dirty
// v1.17.06 add SKIP return code in loops
// v1.17.06 "where_index with null value, index can't be used" check, kept only for "col in or col =" where clauses
// v1.17.06 allow semi column in quoted string (with sql.sh), ex. system 'echo "aaa;"';
// v1.17.06 allow spaces before "with" keyword
// v1.17.06 small mem leaks
////////////// August 2022
// v1.17.07
// v1.17.07 hash group by (POC)
// v1.17.07 bug fix, disable this optim for computed columns where origin and dest col_type are not same:
// v1.17.06 optim where clause on ival with high cardinality in index context
// v1.17.07 bug fix, incorrect result in fn_store+no_booster context
// v1.17.07 skipping index on computed column type A if >106
// v1.17.07 new standard update function fn_copy_col
// v1.17.07 reverse index on computed columns created with fn_computed_col
// v1.17.07 top/bottom with zero (or invalid integer) return error (seg fault before)
// v1.17.07 ALLOW_WHERE_ERROR was not managed for computed col created with fn_computed_col
// F for final
// v1.17.07_F seg fault in ALLOW_WHERE_ERROR context and "double col_type check"
// v1.17.07_F improve fn_build_idx1_num
// v1.17.07_F computed columns created by fn_computed_col -> column name in param becomes case non sensitive
// v1.17.07_F free VIEM_POS_2_IN_MEMORY_PARAMS after view drop (otherwise VIEM_POS_2_IN_MEMORY_PARAMS_LEN limit is reached in refresh_online context)
// v1.17.07_F regression in refresh dirty view context (because view are no longer drop)
// v1.17.07_F bug fix in delete+refresh dirty table+select_slow context -> rel_matrix and big table are out of sync
// v1.17.07_F col_type_check wait for cache
// v1.17.07_F seg fault in export+empty table context
// v1.17.07_F seg fault in 2 SB on same INT/MAX_PERF context, rework of PIN_MEMORY parameter
// v1.17.07_F9 problem for empty table with empty file insert in refresh online context
// v1.17.07_F10 seg fault in select (context not understood)
////////////// November 2022
// v1.17.08
// v1.17.08 allow changing column order in tables, and removing columns
// v1.17.08 no_view potential problem (detected by valgrind)
// v1.17.08_F1 allow changing column order in tables, and removing columns (rework)
// v1.17.08_F1 sb_hgb_context_free
// v1.17.08_F2 seg fault with hash_group_by when table is empty
// v1.17.08_F3 escape "-" in regex lua function
// v1.17.08_F4 add lua function is_not
// v1.17.08_F5 fix regression on with clause using function
// v1.17.08_F6 avoid seg fault when last partition of with/fn_store is select_slow+view dirty (DHZ DFAI)
// v1.17.08_F7 seg fault in flat select with limit clause (CAS DFAI)
// v1.17.08_F8 minor modifications on common.h and common.c
// v1.17.08_F9 manage tables bigger than 2GB lines in hash_group_by
// v1.17.08_F10 bug fix, context (hard to reproduce): view empty/is_mp_dirty=n, partition not empty /is_mp_dirty=y, with/fn_store/fn_merge
// -> sql returns error 151 instead of seg fault
// v1.17.08_F11 bug fix, table signature change was not detected when we change a column name
// v1.17.08_F12 bug fix, problem loading error message in stormbase_common.js (when called from external program)
////////////// March 2023
// v1.17.09 add SB_VALS.line_fetch (SB_LIB_VERSION 14)
// v1.17.09 bug fix SB_VALS.work_area not passed to partition loop
// v1.17.09 multi threading of fn_hash_group_by
// v1.17.09 max_perf index on non in memory big tables are no longer loaded in PIN_MEMORY context (reduce memory for SPN)
// v1.17.09 reduce memory usage in this context: loop on full scope with where clause
// v1.17.09 add is_drop_yn info to context and fn_get_context_is_drop_yn to U
// v1.17.09 U can be access directly from custom code
// v1.17.09_F1 add parameter retry to sql.sh (stormbase_sql.js)
// v1.17.09_F2 improve performance of hash group by (hash generated by fn_hash_modular were too small in many cases)
// v1.17.09_F3 Bug fix: seg fault when view with non merge dimension+delete on table+refresh dirty table+select on view
// v1.17.09_F4 Bug fix: error 157 when same column appeared twice in sub select
// v1.17.09_F5 Bug fix: seg fault in cb_c col_type_check using count
// v1.17.09_F6 Add warning in standard update function (to avoid seg faults when usage is incorrect)
// v1.17.09_F6 Add hwm (high water mark) monitoring in monitor.sh
// v1.17.09_F7 Add MEM_OS_AVAILABLE in monitor_high_water_mark.txt (monitor.sh)
// v1.17.09_F8 Very rare seg fault (DHZ store prod) when select during computed col free
////////////// August 2023
// v1.17.10 Support for SB_CONF_PATH, SB_LICENSE_PATH, /sb_host_etc
// v1.17.10 Bux fix: data not exported with export.sh when two tables have closed names (foo and foo_something for instance)
shutdown; -- ########################### -- RUNNING clear.sh
/*
sure mode, no confirmation prompt
clearing directory INTERNAL_FILES_DIR (../STORAGE/INT) ...
done
clearing directory MAX_PERF_FILES_DIR (../STORAGE/MAX_PERF) ...
done
clearing directory TRANSAC_FILES_DIR (../STORAGE/TRANSAC) ...
done
*/
-- ########################### -- RUNNING doc_bench.sql --Taxi benchmark
data model
stop_on_error;
reponse success
create col_type t_location_id as text;
reponse success
create col_type t_pickup_location_id as text;
reponse success
create col_type t_dropoff_location_id as text;
reponse success
create col_type t_date as text;
reponse success
create big table trips ( cab_type_id text, vendor_id text, pickup_date t_date, pickup_time text, dropoff_date text, dropoff_time text, store_and_fwd_flag text, rate_code_id text, pickup_longitude number, pickup_latitude number, dropoff_longitude number, dropoff_latitude number, passenger_count number, trip_distance number, fare_amount number, extra number, mta_tax number, tip_amount number, tolls_amount number, ehail_fee number, improvement_surcharge number, total_amount number, payment_type text, trip_type text, pickup_nyct2010_gid text, dropoff_nyct2010_gid text, pickup_location_id t_pickup_location_id, dropoff_location_id t_dropoff_location_id );
reponse success
create merge table pickup_location( pickup_location_id t_pickup_location_id, pickup_location_id2 t_location_id );
reponse success
create merge table dropoff_location( dropoff_location_id t_dropoff_location_id, dropoff_location_id2 t_location_id );
reponse success
create merge table calendar( date t_date, week_day text, month_name text, full_year text );
reponse success
create view v_trips as select * from trips, pickup_location, dropoff_location, calendar where pickup_location.pickup_location_id=trips.pickup_location_id and dropoff_location.dropoff_location_id=trips.dropoff_location_id and calendar.date=trips.pickup_date ;
reponse success
pre requisite
You will need around 250 GB of RAM for the full dataset
Disable swap
swapoff -a Disable THP (=Transparent Huge Page) if activated
On Centos (as root) echo never > /sys/kernel/mm/transparent_hugepage/enabled echo never > /sys/kernel/mm/transparent_hugepage/defrag On Redhat (as root) echo never > /sys/kernel/mm/redhat_transparent_hugepage/enabled echo never > /sys/kernel/mm/redhat_transparent_hugepage/defragdownload data
Https://www.stormbase.fr/downloads/taxi_small.zip
insert data
set file_separator=';';
reponse success
insert into pickup_location select * from file('pickup_location.csv');
reponse success
insert into dropoff_location select * from file('dropoff_location.csv');
reponse success
insert into calendar select * from file('calendar.csv');
reponse success
insert into trips select * from file('trips.csv') where rownum<10;
reponse success
refresh dirty views;
reponse success
save;
reponse success
desc table;
table_name column_count line_count has_delete has_update parent_view_hidden trips 28 9 n n n pickup_location 2 202 n n n dropoff_location 2 255 n n n calendar 4 4 n n n
desc view;
view_name table_count rel_count is_dirty is_mp_dirty is_partial first_iline mp_rare_count mp_often_count mp_count r_online_count mp_r_online_count v_trips 4 9 n n n 10 5 14 19 0 0
select * from v_trips;
cab_type_id vendor_id pickup_date pickup_time dropoff_date dropoff_time store_and_fwd_flag rate_code_id pickup_longitude pickup_latitude dropoff_longitude dropoff_latitude passenger_count trip_distance fare_amount extra mta_tax tip_amount tolls_amount ehail_fee improvement_surcharge total_amount payment_type trip_type pickup_nyct2010_gid dropoff_nyct2010_gid pickup_location_id dropoff_location_id pickup_location_id pickup_location_id2 dropoff_location_id dropoff_location_id2 date week_day month_name full_year 2 2 20160804 05:00 20160804 05:16 N 1 0 0 0 0 1 2.130 12 0.500 0.500 0 0 0 0.300 13.300 2 1 # # 129 223 129 129 223 223 20160804 Thursday August 2016 2 2 20160804 05:13 20160804 05:14 N 1 0 0 0 0 1 0.120 2.500 0.500 0.500 10 0 0 0.300 13.800 1 1 # # 244 244 244 244 244 244 20160804 Thursday August 2016 2 2 20160804 05:31 20160804 05:45 N 1 0 0 0 0 1 2.440 12 0.500 0.500 0 0 0 0.300 13.300 1 1 # # 181 228 181 181 228 228 20160804 Thursday August 2016 2 2 20160804 05:08 20160804 05:14 N 1 0 0 0 0 1 0.830 6 0.500 0.500 0 0 0 0.300 7.300 2 1 # # 41 166 41 41 166 166 20160804 Thursday August 2016 2 2 20160804 05:46 20160804 06:05 N 1 0 0 0 0 1 5.620 18.500 0.500 0.500 0 0 0 0.300 19.800 2 1 # # 7 164 7 7 164 164 20160804 Thursday August 2016 2 2 20160804 05:59 20160804 05:59 N 5 0 0 0 0 1 0 1 0 0 0 0 0 0 1 1 2 # # 21 21 21 21 21 21 20160804 Thursday August 2016 2 2 20160804 05:19 20160804 05:30 N 1 0 0 0 0 1 2.140 10 0.500 0.500 0 0 0 0.300 11.300 2 1 # # 112 225 112 112 225 225 20160804 Thursday August 2016 2 2 20160804 05:42 20160804 05:50 N 1 0 0 0 0 1 1.340 7.500 0.500 0.500 0 0 0 0.300 8.800 2 1 # # 82 173 82 82 173 173 20160804 Thursday August 2016 2 2 20160804 05:17 20160804 05:21 N 1 0 0 0 0 1 1.420 6 0.500 0.500 1.460 0 0 0.300 8.760 1 1 # # 166 116 166 166 116 116 20160804 Thursday August 2016
full load
--important parameters../../../40_BENCH/nyc_files/stormbase.conf
MAX_PERF_USE_COMPRESSION:y
CSV_FILES_DIR:/home/postgres/CSV
FILE_SEPARATOR:;
--script../../../40_BENCH/nyc_files/insert_all.sql
create col_type t_location_id as text;
create col_type t_pickup_location_id as text;
create col_type t_dropoff_location_id as text;
create col_type t_date as text;
create big table trips (
cab_type_id text,
vendor_id text,
pickup_date t_date,
pickup_time text,
dropoff_date text,
dropoff_time text,
store_and_fwd_flag text,
rate_code_id text,
pickup_longitude number,
pickup_latitude number,
dropoff_longitude number,
dropoff_latitude number,
passenger_count number,
trip_distance number,
fare_amount number,
extra number,
mta_tax number,
tip_amount number,
tolls_amount number,
ehail_fee number,
improvement_surcharge number,
total_amount number,
payment_type text,
trip_type text,
pickup_nyct2010_gid text,
dropoff_nyct2010_gid text,
pickup_location_id t_pickup_location_id,
dropoff_location_id t_dropoff_location_id
);
create merge table pickup_location(
pickup_location_id t_pickup_location_id,
pickup_location_id2 t_location_id
);
create merge table dropoff_location(
dropoff_location_id t_dropoff_location_id,
dropoff_location_id2 t_location_id
);
create merge table calendar(
date t_date,
week_day text,
month_name text,
full_year text
);
create view v_calendar as select * from calendar;
create view v_pickup_location as select * from pickup_location;
create view v_dropoff_location as select * from dropoff_location;
create view v_trips as
select * from trips, pickup_location, dropoff_location, calendar
where pickup_location.pickup_location_id=trips.pickup_location_id
and dropoff_location.dropoff_location_id=trips.dropoff_location_id
and calendar.date=trips.pickup_date
;
insert into pickup_location select * from file('pickup_location.csv');
insert into dropoff_location select * from file('dropoff_location.csv');
insert into calendar select * from file('calendar.csv');
insert into trips select * from file('trips_2009.csv');
insert into trips select * from file('trips_2010.csv');
insert into trips select * from file('trips_2011.csv');
insert into trips select * from file('trips_2012.csv');
insert into trips select * from file('trips_2013.csv');
insert into trips select * from file('trips_2014.csv');
insert into trips select * from file('trips_2015.csv');
insert into trips select * from file('trips_2016.csv');
insert into trips select * from file('trips_2017.csv');
insert into trips select * from file('trips_2018.csv');
save;
refresh dirty view;
save;
--logs../../../40_BENCH/nyc_files/insert_all.log
3319
[2021-01-22 09:40:24] --------- NEW CONNECTION ------------ CACHE SIZE : 0 / 0
[2021-01-22 09:40:24] connecting to localhost : 3319
[2021-01-22 09:40:24] -> authentication;
[2021-01-22 09:40:24] <- data ( 2 ms )
[2021-01-22 09:40:24] -> create col_type t_location_id as text;
[2021-01-22 09:40:24] <- data ( 101 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 09:40:24] -> create col_type t_pickup_location_id as text;
[2021-01-22 09:40:24] <- data ( 100 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 09:40:24] -> create col_type t_dropoff_location_id as text;
[2021-01-22 09:40:24] <- data ( 101 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 09:40:24] -> create col_type t_date as text;
[2021-01-22 09:40:24] <- data ( 101 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 09:40:24] ->
create big table trips (
cab_type_id text,
vendor_id text,
pickup_date t_date,
pickup_time text,
dropoff_date text,
dropoff_time text,
store_and_fwd_flag text,
rate_code_id text,
pickup_longitude number,
pickup_latitude number,
dropoff_longitude number,
dropoff_latitude number,
passenger_count number,
trip_distance number,
fare_amount number,
extra number,
mta_tax number,
tip_amount number,
tolls_amount number,
ehail_fee number,
improvement_surcharge number,
total_amount number,
payment_type text,
trip_type text,
pickup_nyct2010_gid text,
dropoff_nyct2010_gid text,
pickup_location_id t_pickup_location_id,
dropoff_location_id t_dropoff_location_id
);
[2021-01-22 09:40:24] <- data ( 175 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 09:40:24] ->
create merge table pickup_location(
pickup_location_id t_pickup_location_id,
pickup_location_id2 t_location_id
);
[2021-01-22 09:40:24] <- data ( 102 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 09:40:24] ->
create merge table dropoff_location(
dropoff_location_id t_dropoff_location_id,
dropoff_location_id2 t_location_id
);
[2021-01-22 09:40:24] <- data ( 101 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 09:40:24] ->
create merge table calendar(
date t_date,
week_day text,
month_name text,
full_year text
);
[2021-01-22 09:40:24] <- data ( 103 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 09:40:24] -> create view v_calendar as select * from calendar;
[2021-01-22 09:40:25] <- data ( 102 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 09:40:25] -> create view v_pickup_location as select * from pickup_location;
[2021-01-22 09:40:25] <- data ( 102 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 09:40:25] -> create view v_dropoff_location as select * from dropoff_location;
[2021-01-22 09:40:25] <- data ( 103 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 09:40:25] ->
create view v_trips as
select * from trips, pickup_location, dropoff_location, calendar
where pickup_location.pickup_location_id=trips.pickup_location_id
and dropoff_location.dropoff_location_id=trips.dropoff_location_id
and calendar.date=trips.pickup_date;
[2021-01-22 09:40:25] <- data ( 104 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 09:40:25] -> insert into pickup_location select * from file('pickup_location.csv');
[2021-01-22 09:40:25] <- data ( 102 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 09:40:25] -> insert into dropoff_location select * from file('dropoff_location.csv');
[2021-01-22 09:40:25] <- data ( 103 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 09:40:25] -> insert into calendar select * from file('calendar.csv');
[2021-01-22 09:40:25] <- data ( 262 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 09:40:25] -> insert into trips select * from file('trips_2009.csv');
[2021-01-22 09:52:10] <- data ( 704998 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 09:52:10] -> insert into trips select * from file('trips_2010.csv');
[2021-01-22 10:03:04] <- data ( 653457 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 10:03:04] -> insert into trips select * from file('trips_2011.csv');
[2021-01-22 10:16:52] <- data ( 828521 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 10:16:52] -> insert into trips select * from file('trips_2012.csv');
[2021-01-22 10:30:13] <- data ( 801036 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 10:30:13] -> insert into trips select * from file('trips_2013.csv');
[2021-01-22 10:42:40] <- data ( 746230 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 10:42:40] -> insert into trips select * from file('trips_2014.csv');
[2021-01-22 10:55:55] <- data ( 795400 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 10:55:55] -> insert into trips select * from file('trips_2015.csv');
[2021-01-22 11:07:49] <- data ( 714364 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 11:07:49] -> insert into trips select * from file('trips_2016.csv');
[2021-01-22 11:16:18] <- data ( 508225 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 11:16:18] -> insert into trips select * from file('trips_2017.csv');
[2021-01-22 11:21:55] <- data ( 337340 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 11:21:55] -> insert into trips select * from file('trips_2018.csv');
[2021-01-22 11:26:57] <- data ( 301737 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 11:26:57] -> save;
[2021-01-22 12:04:44] <- data ( 2266823 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 12:04:44] -> refresh dirty view;
SIGHUP received (ignored)
[2021-01-22 12:35:21] <- data ( 1837801 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
[2021-01-22 12:35:22] -> save;
[2021-01-22 12:50:19] <- data ( 897616 ms )
| reponse|
|--------------------------------------------------|
| success|
ROWCOUNT : 1
--size info../../../40_BENCH/nyc_files/size.log
bash-4.2$ ./size.sh
CSV_FILES_DIR /home/postgres/CSV 260782276 KB
INTERNAL_FILES_DIR ../INT 197165912 KB
MAX_PERF_FILES_DIR ../MAX_PERF 91560016 KB
TMP_FILES_DIR ../TMP 4 KB
-- ########################### -- RUNNING shutdown.sql shutdown;