Partitioned tables in queries
От | Kevin Keith |
---|---|
Тема | Partitioned tables in queries |
Дата | |
Msg-id | 44C12852.1040909@borderware.com обсуждение исходный текст |
Ответы |
Re: Partitioned tables in queries
Re: Partitioned tables in queries |
Список | pgsql-performance |
I have a case where I am partitioning tables based on a date range in version 8.1.4. For example: table_with_millions_of_records interaction_id char(16) primary key start_date timestamp (without timezone) - indexed .. other columns child_1 start_date >= 2006-07-21 00:00:00 child_2 start_date >= 2006-07-20 00:00:00 and start_date < 2006-07-21 00:00:00 ... child_5 start_date >= 2006-07-17 00:00:00 and start_date < 2006-07-18 00:00:00 with rules on the parent and child tables that redirect the data to the appropriate child table based on the start_date. Because this table is going to grow very large (very quickly), and will need to be purged daily, I created partitions, or child tables to hold data for each day. I have done the same thing in Oracle in the past, and the PostgreSQL solution works great. The archival process is very simple - drop the expired child table. I am having one problem. If I run a query on the full table (there are 5 child tables with data for the last 5 days), and my where clause contains data for the current day only: where start_date > date_trunc('day', now()) all 5 child tables are scanned when I look at the output from explain analyze. My question is - can I force the planner to only scan the relevant child table - when the key related to the partitioned data it part of the where clause? Thanks, Kevin ...
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