Am Donnerstag, den 11.08.2005, 14:08 +0200 schrieb PFC:
>
> > You could lock the count table to prevent the problem
> > where 2 competing transactions do an insert, read the
> > start value and add 1 to it and then write the result
> > - which is n+1 rather then n+2 - so you are off by one.
> > Think of the same when one transaction inserts 100
> > and the other 120. Then you could even be off by 100.
>
> Niet.
>
> If your trigger does UPDATE counts_cache SET cached_count =
> cached_count+N WHERE ...
> Then all locking is taken care of by Postgres.
> Of course if you use 2 queries then you have locking issues.
Yes, in the case you use just the UPDATE statement you are right. This
does the locking I was talking about.
In either case I'd use an after trigger and not before to minimize
the impact.
> However the UPDATE counts_cache has a problem, ie. it locks this row
> FOR
> UPDATE for the whole transaction, and all transactions which want to
> update the same row must wait to see if the update commits or rollbacks,
> so if you have one count cache row for the whole table you get MySQL style
> scalability...
>
> To preserve scalability you could, instead of UPDATE, INSERT the delta
> of
> rows inserted/deleted in a table (which has no concurrencies issues) and
> compute the current count with the sum() of the deltas, then with a cron,
> consolidate the deltas and update the count_cache table so that the deltas
> table stays very small.
Yes, this is in fact a better approach to this problem.
(All this provided you want an unqualified count() - as the
original poster)
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