Hi!

If you know correct join order for tables in your query, you can enable
setting FORCE_JOIN_ORDER on you connection. This way H2 optimizer will not
try to find the optimal join order, but will just find the best indexes for
the join order as it is written in query. It will be much faster.

Another option is to use some connection pool with caching of prepared
statements. This will allow to optimize query only once and then reuse the
prepared statement.

Sergi

2016-12-01 18:29 GMT+03:00 itineric <itine...@gmail.com>:

> Hi,
>
> I have a database with many tables. This database is most part empty or
> has at most 10 lines per table.
> I have a query that uses many tables (~50) and uses inner/left join
> (always on indexed columns (PK/FK)).
> The query is really slow but not on execution, during prepareSatement.
> I activated traces on the database and find out that there were 10 000 000
> (at least) calls to "potential plan item cost".
> There is also the same call repeatedly "calculate cost for plan [T1 ...
> T30]" (where T1 ... T30 lists all the aliases of my tables.
> I had to stop the database when trace file got 1Gb big.
> Last cost printed in trace file was "best plan item cost
> 1,358,740,342,666,069,800,000,000,000,000"... It seams really big... for
> such an empty database.
>
> On other databases the query executes in less than 10ms. On H2, it needs
> between 5 and 6 seconds to perform prepareStatement.
>
> Is there a way to configure some optimization algorythm ? Or a way to not
> optimize at all ?
>
> Regards,
>
> Eric
>
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