PlSQL动态查询以在时间戳上透视数据



我想创建一个动态SQL查询来查看列中的日期,日期行每天都会不断添加,所以查询必须是动态的。我希望一些列在行中,一些行必须是列,Pivot函数可以工作,但我需要一些帮助来创建这个查询。

数据:-

PLANNER_ID|ASSIGNED|TODO|DONE|REJECTED|BLOCKING_PROJECTS|AVERAGE|WORKING_DAYS|DATES
Planner 1 |25      |0   |0   |0       |0                |0%     |1           |2018.11.26
Planner 1 |18      |0   |0   |0       |0                |0%     |1           |2018.11.21
Planner 1 |26      |0   |0   |0       |0                |0%     |1           |2018.11.25
Planner 1 |25      |0   |0   |0       |0                |0%     |1           |2018.11.28
Planner 1 |25      |0   |0   |0       |0                |0%     |1           |2018.11.27
Planner 1 |26      |0   |0   |0       |0                |0%     |1           |2018.11.24
Planner 1 |25      |0   |0   |0       |0                |0%     |1           |2018.11.29

所需输出为:-

PLANNER_ID|PROJECTS          |21-NOV-2018|24-NOV-2018|25-NOV-2018|26-NOV-2018|27-NOV-2018|28-NOV-2018|29-NOV-2018
Planner 1 |ASSIGNED          |0          |0          |0          |0          |0          |0          |0
Planner 1 |TODO              |0          |0          |0          |0          |0          |0          |0
Planner 1 |AVERAGE           |0%         |0%         |0%         |0%         |0%         |0%         |0%
Planner 1 |BLOCKING_PROJECTS |0          |0          |0          |0          |0          |0          |0
Planner 1 |DONE              |0          |0          |0          |0          |0          |0          |0
Planner 1 |REJECTED          |0          |0          |0          |0          |0          |0          |0
Planner 1 |WORKING_DAYS      |1          |1          |1          |1          |1          |1          |1

下面是一个查询示例。

WITH t AS (
SELECT *
FROM (
SELECT 'Planner 2' AS planner_id, '15' AS assigned, '10' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '26%' AS average, '1' AS working_days, '2018.11.26' AS dates FROM dual UNION ALL
SELECT 'Planner 2' AS planner_id, '18' AS assigned, '12' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '21%' AS average, '1' AS working_days, '2018.11.21' AS dates FROM dual UNION ALL
SELECT 'Planner 2' AS planner_id, '16' AS assigned, '13' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '25%' AS average, '1' AS working_days, '2018.11.25' AS dates FROM dual UNION ALL
SELECT 'Planner 2' AS planner_id, '15' AS assigned, '14' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '28%' AS average, '1' AS working_days, '2018.11.28' AS dates FROM dual 
UNION ALL
SELECT 'Planner 1' AS planner_id, '25' AS assigned, '1' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '26%' AS average, '1' AS working_days, '2018.11.26' AS dates FROM dual UNION ALL
SELECT 'Planner 1' AS planner_id, '28' AS assigned, '2' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '21%' AS average, '1' AS working_days, '2018.11.21' AS dates FROM dual UNION ALL
SELECT 'Planner 1' AS planner_id, '26' AS assigned, '3' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '25%' AS average, '1' AS working_days, '2018.11.25' AS dates FROM dual UNION ALL
SELECT 'Planner 1' AS planner_id, '25' AS assigned, '4' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '28%' AS average, '1' AS working_days, '2018.11.28' AS dates FROM dual UNION ALL
SELECT 'Planner 1' AS planner_id, '25' AS assigned, '5' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '27%' AS average, '1' AS working_days, '2018.11.27' AS dates FROM dual UNION ALL
SELECT 'Planner 1' AS planner_id, '26' AS assigned, '6' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '24%' AS average, '1' AS working_days, '2018.11.24' AS dates FROM dual UNION ALL
SELECT 'Planner 1' AS planner_id, '25' AS assigned, '7' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '29%' AS average, '1' AS working_days, '2018.11.29' AS dates FROM dual 
)
)
SELECT *
FROM (
SELECT  planner_id, projects, dates, quantity
FROM t
UNPIVOT (quantity FOR projects IN (assigned AS 'ASSIGNED', todo AS 'TODO', done AS 'DONE', rejected AS 'REJECTED', blocking AS 'BLOCKING', average AS 'AVERAGE', working_days AS 'WORKING_DAYS'))
)
PIVOT  (MAX(quantity) FOR (dates) IN ('2018.11.26'  AS "2018.11.26" , '2018.11.21'  AS "2018.11.21" , '2018.11.25'  AS "2018.11.25" , '2018.11.28'  AS "2018.11.28" , '2018.11.27'  AS "2018.11.27" , '2018.11.24'  AS "2018.11.24" , '2018.11.29' AS "2018.11.29"))
ORDER BY planner_id, projects;

若DATES列中的值列表不是常量或很大,那个么就必须以动态方式生成这个查询。您必须为PIVOT 生成日期列表

DECLARE
lv_query CLOB :=
q'[WITH t AS (
SELECT *
FROM (
SELECT 'Planner 2' AS planner_id, '15' AS assigned, '10' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '26%' AS average, '1' AS working_days, '2018.11.26' AS dates FROM dual UNION ALL
SELECT 'Planner 2' AS planner_id, '18' AS assigned, '12' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '21%' AS average, '1' AS working_days, '2018.11.21' AS dates FROM dual UNION ALL
SELECT 'Planner 2' AS planner_id, '16' AS assigned, '13' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '25%' AS average, '1' AS working_days, '2018.11.25' AS dates FROM dual UNION ALL
SELECT 'Planner 2' AS planner_id, '15' AS assigned, '14' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '28%' AS average, '1' AS working_days, '2018.11.28' AS dates FROM dual 
UNION ALL
SELECT 'Planner 1' AS planner_id, '25' AS assigned, '1' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '26%' AS average, '1' AS working_days, '2018.11.26' AS dates FROM dual UNION ALL
SELECT 'Planner 1' AS planner_id, '28' AS assigned, '2' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '21%' AS average, '1' AS working_days, '2018.11.21' AS dates FROM dual UNION ALL
SELECT 'Planner 1' AS planner_id, '26' AS assigned, '3' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '25%' AS average, '1' AS working_days, '2018.11.25' AS dates FROM dual UNION ALL
SELECT 'Planner 1' AS planner_id, '25' AS assigned, '4' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '28%' AS average, '1' AS working_days, '2018.11.28' AS dates FROM dual UNION ALL
SELECT 'Planner 1' AS planner_id, '25' AS assigned, '5' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '27%' AS average, '1' AS working_days, '2018.11.27' AS dates FROM dual UNION ALL
SELECT 'Planner 1' AS planner_id, '26' AS assigned, '6' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '24%' AS average, '1' AS working_days, '2018.11.24' AS dates FROM dual UNION ALL
SELECT 'Planner 1' AS planner_id, '25' AS assigned, '7' AS todo, '0' AS done, '0' AS rejected, '0' AS blocking, '29%' AS average, '1' AS working_days, '2018.11.29' AS dates FROM dual 
)
)
SELECT *
FROM (
SELECT  planner_id, projects, dates, quantity
FROM t
UNPIVOT (quantity FOR projects IN (assigned AS 'ASSIGNED', todo AS 'TODO', done AS 'DONE', rejected AS 'REJECTED', blocking AS 'BLOCKING', average AS 'AVERAGE', working_days AS 'WORKING_DAYS'))
)
PIVOT  (MAX(quantity) FOR (dates) IN (#PivotDates))
ORDER BY planner_id, projects]';
/*
*  Generate list of dates for PIVOT
*/
FUNCTION pivotDates
RETURN CLOB
IS
BEGIN
RETURN yourPivotDates;
END pivotDates;
BEGIN
lv_query := REPLACE(lv_query, '#PivotDates', pivotDates());
EXECUTE IMMEDIATE lv_query;
END;
/

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