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https://issues.apache.org/jira/browse/DERBY-4437?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12890463#action_12890463
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Brett Bergquist commented on DERBY-4437:
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This bug is really kill us. We have transaction rates of around 30
inserts/second now and some are done in parallel and now about every couple of
days, the database server gets into this state. I am working around by
discontinuing using IDENTITY columns but that requires a long down time on the
system to convert the database and this is a continuously up system so that is
hard to come by.
Any solution via a patch or compling derby myself would be greatly appreciated.
Much quicker to stop and drop in a new jar and restart than convert about 18
millon records that are using the identity column.
> Concurrent inserts into table with identity column perform poorly
> -----------------------------------------------------------------
>
> Key: DERBY-4437
> URL: https://issues.apache.org/jira/browse/DERBY-4437
> Project: Derby
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 10.5.3.0
> Reporter: Knut Anders Hatlen
>
> I have a multi-threaded application which is very insert-intensive. I've
> noticed that it sometimes can come into a state where it slows down
> considerably and basically becomes single-threaded. This is especially
> harmful on modern multi-core machines since most of the available resources
> are left idle.
> The problematic tables contain identity columns, and here's my understanding
> of what happens:
> 1) Identity columns are generated from a counter that's stored in a row in
> SYS.SYSCOLUMNS. During normal operation, the counter is maintained in a
> nested transaction within the transaction that performs the insert. This
> allows the nested transaction to commit the changes to SYS.SYSCOLUMN
> separately from the main transaction, and the exclusive lock that it needs to
> obtain on the row holding the counter, can be releases after a relatively
> short time. Concurrent transactions can therefore insert into the same table
> at the same time, without needing to wait for the others to commit or abort.
> 2) However, if the nested transaction cannot lock the row in SYS.SYSCOLUMNS
> immediately, it will give up and retry the operation in the main transaction.
> This prevents self-deadlocks in the case where the main transaction already
> owns a lock on SYS.SYSCOLUMNS. Unfortunately, this also increases the time
> the row is locked, since the exclusive lock cannot be released until the main
> transaction commits. So as soon as there is one lock collision, the waiting
> transaction changes to a locking mode that increases the chances of others
> having to wait, which seems to result in all insert threads having to obtain
> the SYSCOLUMNS locks in the main transaction. The end result is that only one
> of the insert threads can execute at any given time as long as the
> application is in this state.
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