Re: inheritance: planning time vs children number vs column number
От | Heikki Linnakangas |
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Тема | Re: inheritance: planning time vs children number vs column number |
Дата | |
Msg-id | 4D6B9BC9.1000404@enterprisedb.com обсуждение исходный текст |
Ответ на | inheritance: planning time vs children number vs column number (Marc Cousin <cousinmarc@gmail.com>) |
Ответы |
Re: inheritance: planning time vs children number vs column number
Query on view radically slower than query on underlying table |
Список | pgsql-performance |
On 28.02.2011 11:38, Marc Cousin wrote: > I've been facing a very large (more than 15 seconds) planning time in a > partitioned configuration. The amount of partitions wasn't completely crazy, > around 500, not in the thousands. The problem was that there were nearly 1000 > columns in the parent table (very special use case, there is a reason for this > application for having these many columns). The check constraint was extremely > simple (for each child, 1 column = 1 constant, always the same column). > > As I was surprised by this very large planning time, I have been trying to > study the variation of planning time against several parameters: > - number of columns > - number of children tables > - constraint exclusion's value (partition or off) > > What (I think) I measured is that the planning time seems to be O(n^2) for the > number of columns, and O(n^2) for the number of children tables. > > Constraint exclusion had a limited impact on planning time (it added between > 20% and 100% planning time when there were many columns). Testing here with a table with 1000 columns and 100 partitions, about 80% of the planning time is looking up the statistics on attribute width, to calculate average tuple width. I don't see O(n^2) behavior, though, it seems linear. > I'd like to know if this is a known behavior ? And if I could mitigate it > somehow ? I'm out of ideas on how to make it faster, I'm afraid. -- Heikki Linnakangas EnterpriseDB http://www.enterprisedb.com
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