Hi,

> a "where ... in" clause with 500 values (like "where x in [v0, v1, v2,
.... v499]"), which ran with average time 120 seconds.

120 seconds for 500 entries sounds like a problem with the data or the
query. Do you have an index on that column? See also
http://h2database.com/html/performance.html#explain_plan

Regards,
Thomas


On Sun, Oct 6, 2013 at 6:29 AM, Brian Craft <[email protected]> wrote:

> Reading over the archive on the subject of threads has left me mostly
> still confused about how h2 handles concurrency, so I've been doing some
> tests, instead.
>
> I started with largish queries that all have a "where ... in" clause with
> 500 values (like "where x in [v0, v1, v2, .... v499]"), which ran with
> average time 120 seconds.
>
> I then re-ran the same queries as sets of 500 queries (each with a single
> value, like "where x in [v0]"), splitting the queries across different
> threads. These sets of 500 queries ran much faster, average 30 seconds. It
> also made much more use of the disk: io stats where much higher, which is
> consistent with the queries running concurrently.
>
> The docs seem to indicate that a query in one thread blocks queries in
> other threads, so I'm not sure how to interpret these numbers. Maybe I
> misunderstood the docs, and queries do run concurrently? I'm not using
> MULTI_THREADED.
>
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