Re: Large number of partitions of a table - Mailing list pgsql-admin

From Victor Sudakov
Subject Re: Large number of partitions of a table
Date
Msg-id YeYr88f3jXHlijU9@admin.sibptus.ru
Whole thread Raw
In response to Re: Large number of partitions of a table  (Ron <ronljohnsonjr@gmail.com>)
Responses Re: Large number of partitions of a table  (Tom Lane <tgl@sss.pgh.pa.us>)
List pgsql-admin
Ron wrote:
> On 1/16/22 11:38 PM, Victor Sudakov wrote:
> > Tom Lane wrote:
> > [dd]
> >
> >> The specific point that depesz was responding to in that blog
> >> was the 64K-ish limit on rangetable entries in a query.  That is
> >> a thing, as he could have shown by using queries that weren't
> >> amenable to plan-time pruning.  (It's also an ex-thing, having
> >> been fixed for v15 [1]; but that doesn't help you today.)
> >> Now, if you use no queries that can't be pruned to a few
> >> partitions, then it's academic for you.
> > The table will be partitioned `BY LIST (customer_id)` which is a unique
> > index. All queries will be using this index
> 
> Good.
> 
> > so no query should ever have to use more than 1 partition.
> 
> I find it hard to believe that you'll *never* run a report against more 
> customers than are in a single partition.

Thank you for raising this question, it can be of great interest.

What's the worst thing to happen if someone runs "SELECT COUNT(*) FROM t" where t has 10000 partitions?

1. The backend will crash?

2. The whole cluster will crash?

3. Only this particular query (spanning multiple partitions) will be very slow?

4. ?

Also, what if it is not a SELECT but an UPDATE query spanning multiple partitions? Does it make any difference?

-- 
Victor Sudakov VAS4-RIPE
http://vas.tomsk.ru/
2:5005/49@fidonet



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