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https://issues.apache.org/jira/browse/FLINK-3452?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15169027#comment-15169027
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Stephan Ewen commented on FLINK-3452:
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Thanks, Wes, for reaching out. I'll also try and get in touch with Infra in the
next days to see what we can do about this.
Flink's testing is pretty heavy and time intensive, to a large extend due to
the fact that for various integration points (Kafka, Elastic, Hadoop, ...) the
tests bring up mini clusters and run complete simulated distributed setups.
That just eats time.
> Procuring more Travis CI build capacity for Flink
> -------------------------------------------------
>
> Key: FLINK-3452
> URL: https://issues.apache.org/jira/browse/FLINK-3452
> Project: Flink
> Issue Type: Wish
> Reporter: Wes McKinney
>
> Greetings from Apache Parquet!
> In diagnosing Travis CI build queue slowness over the last several weeks
> we've been looking at overall utilization of the 30 concurrent Travis workers
> available to all of the ASF's projects on github.com/apache
> Finally, Travis CI produced a database dump for me. Here is a total duration
> in seconds for each of the apache's active projects for the last 180 days:
> https://gist.githubusercontent.com/drogus/d01a02aa9e0f7c380bde/raw/05be62eb1dd76085dd6cc9740e496ac2a111bc33/duration-by-project.txt
> Indeed, my anecdotal experience has been that we are often waiting on queued
> Flink builds to free up Travis workers to run parquet-cpp builds (which take
> about 5 minutes to run).
> Given Flink's relative Travis CI utilization and general growth and success
> of the project (congratulations!), I am wondering if you have explored
> options to either increase the number of Travis CI workers available to ASF
> projects like Flink or to procure dedicated build slaves for Flink (similar
> to what Spark has done). Let me know what you think.
> Thank you in advance and best wishes for 2016.
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