Table transform query
От | Philippe Lang |
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Тема | Table transform query |
Дата | |
Msg-id | 6C0CF58A187DA5479245E0830AF84F4218CF1F@poweredge.attiksystem.ch обсуждение исходный текст |
Ответы |
Re: Table transform query
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Список | pgsql-sql |
Hi, I'm trying to find out how to transform this kind of table data (history of rental data in a firm): date serial delivery ---------------------- 1 1 L 1 2 L 1 3 L 2 1 R 2 2 R 2 4 L 3 5 L 3 3 R 3 4 R 4 1 L ... into this: serial dateL dateR -------------------- 1 1 2 1 4 2 1 2 3 1 3 4 2 3 5 3 Basically, data on table 1 means: - on date 1, product with serial 1 is sent to the customer - on date 1, product with serial 2 is sent to the customer - on date 1, product with serial 3 is sent to the customer - on date 2, product with serial 1 comes back ... On table 2, data means: - Product with serial 1 is sent to the customer on date 1, and comes back on date 2 - Product with serial 1 is sent to the customer on date 4, and hasn't come back yet ... Do you think there is a generic SQL solution to this problem, like crosstab or pivot table? I'm thinking of doing things in a "procedural" plpgsql manner... Any idea is welcome. Thanks! Philippe
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