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From "Felix Cheung (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-21693) AppVeyor tests reach the time limit, 1.5 hours, sometimes in SparkR tests
Date Thu, 10 Aug 2017 16:25:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-21693?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16121860#comment-16121860
] 

Felix Cheung commented on SPARK-21693:
--------------------------------------

we could certainly simplify the classification set - but there's a fair number of API being
tested in their, perhaps we could time them to see which ones are taking time.

> AppVeyor tests reach the time limit, 1.5 hours, sometimes in SparkR tests
> -------------------------------------------------------------------------
>
>                 Key: SPARK-21693
>                 URL: https://issues.apache.org/jira/browse/SPARK-21693
>             Project: Spark
>          Issue Type: Test
>          Components: Build, SparkR
>    Affects Versions: 2.3.0
>            Reporter: Hyukjin Kwon
>
> We finally sometimes reach the time limit, 1.5 hours, https://ci.appveyor.com/project/ApacheSoftwareFoundation/spark/build/1676-master
> I requested to increase this from an hour to 1.5 hours before but it looks we should
fix this in AppVeyor. I asked this for my account few times before but it looks we can't increase
this time limit again and again.
> I could identify two things that look taking a quite a bit of time:
> 1. Disabled cache feature in pull request builder, which ends up downloading Maven dependencies
(10-20ish mins)
> https://www.appveyor.com/docs/build-cache/
> {quote}
> Note: Saving cache is disabled in Pull Request builds.
> {quote}
> and also see http://help.appveyor.com/discussions/problems/4159-cache-doesnt-seem-to-be-working
> This seems difficult to fix within Spark.
> 2. "MLlib classification algorithms" tests (30-35ish mins)
> This test below looks taking 30-35ish mins.
> {code}
> MLlib classification algorithms, except for tree-based algorithms: Spark package found
in SPARK_HOME: C:\projects\spark\bin\..
> ......................................................................
> {code}
> As a (I think) last resort, we could make a matrix for this test alone, so that we run
the other tests after a build and then run this test after another build, for example, I run
Scala tests by this workaround - https://ci.appveyor.com/project/spark-test/spark/build/757-20170716
(a matrix with 7 build and test each).
> I am also checking and testing other ways.



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