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https://issues.apache.org/jira/browse/DERBY-5474?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Knut Anders Hatlen resolved DERBY-5474.
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Resolution: Fixed
Fix Version/s: 10.9.0.0
Thanks, Kristian and Bryan.
All regression tests passed with jars built with the patch.
Committed revision 1188163.
The machine where I saw that the 15 invocations of splitmessages took 30
seconds, was a four-year-old laptop running Linux.
On various desktops running Solaris I've seen that it takes between 3 and 15
seconds, depending on how powerful the machines are. When changing to fork=no,
it's reduced to 0-2 seconds on those machines.
So whereas it's cheaper on the more powerful machines, the cost is still not
negligible, even though there are just 15 processes to be started. Bryan,
perhaps your experiment ran with processes that were lighter and cheaper to
fork than a JVM? Or maybe it was a multi-threaded build system so that other
threads could utilize the CPU while one thread was kept up waiting for the
forked process to fault in the runtime libraries, or whatever it is that's
taking time?
> Speed up message splitting in build
> -----------------------------------
>
> Key: DERBY-5474
> URL: https://issues.apache.org/jira/browse/DERBY-5474
> Project: Derby
> Issue Type: Improvement
> Components: Build tools
> Affects Versions: 10.9.0.0
> Reporter: Knut Anders Hatlen
> Assignee: Knut Anders Hatlen
> Priority: Minor
> Fix For: 10.9.0.0
>
> Attachments: d5474.diff
>
>
> On a slow machine I sometimes use to build Derby, running the
> org.apache.derbyBuild.splitmessages tool takes 30 seconds and accounts for
> 15% of the total time needed to run "ant -q buildsource" (which builds the
> engine, the network server and the client, but not the tests or demos). The
> tool is invoked 15 times, and each time a new Java process is started because
> the Ant target has specified fork="yes". By changing it to run the
> splitmessages tool in the same Java process as the one running Ant, the time
> is reduced to 3-4 seconds on the same machine.
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