Re: Many joins: monthly summaries S-L--O--W
От | Tom Lane |
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Тема | Re: Many joins: monthly summaries S-L--O--W |
Дата | |
Msg-id | 4557.1066757254@sss.pgh.pa.us обсуждение исходный текст |
Ответ на | Many joins: monthly summaries S-L--O--W (Michael Glaesmann <grzm@myrealbox.com>) |
Список | pgsql-novice |
Michael Glaesmann <grzm@myrealbox.com> writes: > [ a very messy query ] It does seem like that is a big query with a small query struggling to get out. I don't have any immediate suggestions, but I wonder whether you wouldn't profit by reading something about how to do crosstabs and statistics in SQL. Joe Celko's book "SQL For Smarties" is an invaluable resource for hard problems in SQL (be sure to get the 2nd edition). Also, if you decide that a crosstab would help, take a look at the crosstab functions in contrib/tablefunc. (Celko's book only covers SQL-standard solutions, not methods that depend on nonstandard features, so he's at a disadvantage when covering crosstab methods.) Also, I do have a suggestion for this: > current_inventory_view, showing the most recent inventory qty and date, > is defined as > SELECT inv.date, inv.product_code, inv.qty FROM inventory inv, (SELECT > max(inventory.date) AS date, inventory.product_code FROM inventory > GROUP BY inventory.product_code) curr_inv WHERE ((inv.date = > curr_inv.date) AND (inv.product_code = curr_inv.product_code)); If you don't mind using a Postgres-specific feature, you should be able to make this view faster by using DISTINCT ON. Look at the "weather reports" example in the SELECT reference page. regards, tom lane
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