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https://issues.apache.org/jira/browse/CONTINUUM-2759?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Brent N Atkinson closed CONTINUUM-2759.
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Resolution: Fixed
Fixed in r1678034
> Document how to tune performance for installations with large databases
> -----------------------------------------------------------------------
>
> Key: CONTINUUM-2759
> URL: https://issues.apache.org/jira/browse/CONTINUUM-2759
> Project: Continuum
> Issue Type: Task
> Reporter: Brent N Atkinson
> Assignee: Brent N Atkinson
> Fix For: 1.5.0
>
>
> For users wishing to run Continuum in scenarios where the data set will grow
> to a large scale, instructions on how to go about tuning the database should
> be documented.
> Continuum 1.5 addresses multiple performance and stability issues. The net
> result is that it should now be possible to run Continuum with much larger
> databases if properly tuned. Ideally, this tuning would be automatic.
> However, this is not generally possible due to supporting multiple deployment
> scenarios and databases.
> The following should be documented:
> * How to configure Continuum to use derbynet data sources
> * How to enable derby query execution plan logging
> * How to upgrade derby databases to gain optimizer statistics
> * Common bottlenecks and tuning advice:
> ** Creating/rebuilding indexes for long queries/large tables
> ** Updating statistics
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