+1

On Thu, Nov 30, 2017 at 1:28 AM, Kazuaki Ishizaki <ishiz...@jp.ibm.com>
wrote:

> +1 (non-binding)
>
> I tested it on Ubuntu 16.04 and OpenJDK8 on ppc64le. All of the tests for
> core/sql-core/sql-catalyst/mllib/mllib-local have passed.
>
> $ java -version
> openjdk version "1.8.0_131"
> OpenJDK Runtime Environment (build 1.8.0_131-8u131-b11-2ubuntu1.
> 16.04.3-b11)
> OpenJDK 64-Bit Server VM (build 25.131-b11, mixed mode)
>
> % build/mvn -DskipTests -Phive -Phive-thriftserver -Pyarn -Phadoop-2.7 -T
> 24 clean package install
> % build/mvn -Phive -Phive-thriftserver -Pyarn -Phadoop-2.7 test -pl core
> -pl 'sql/core' -pl 'sql/catalyst' -pl mllib -pl mllib-local
> ...
> Run completed in 13 minutes, 54 seconds.
> Total number of tests run: 1118
> Suites: completed 170, aborted 0
> Tests: succeeded 1118, failed 0, canceled 0, ignored 6, pending 0
> All tests passed.
> [INFO] ------------------------------------------------------------
> ------------
> [INFO] Reactor Summary:
> [INFO]
> [INFO] Spark Project Core ................................. SUCCESS
> [17:13 min]
> [INFO] Spark Project ML Local Library ..................... SUCCESS [
>  6.065 s]
> [INFO] Spark Project Catalyst ............................. SUCCESS [11:51
> min]
> [INFO] Spark Project SQL .................................. SUCCESS
> [17:55 min]
> [INFO] Spark Project ML Library ........................... SUCCESS [17:05
> min]
> [INFO] ------------------------------------------------------------
> ------------
> [INFO] BUILD SUCCESS
> [INFO] ------------------------------------------------------------
> ------------
> [INFO] Total time: 01:04 h
> [INFO] Finished at: 2017-11-30T01:48:15+09:00
> [INFO] Final Memory: 128M/329M
> [INFO] ------------------------------------------------------------
> ------------
> [WARNING] The requested profile "hive" could not be activated because it
> does not exist.
>
> Kazuaki Ishizaki
>
>
>
> From:        Dongjoon Hyun <dongjoon.h...@gmail.com>
> To:        Hyukjin Kwon <gurwls...@gmail.com>
> Cc:        Spark dev list <dev@spark.apache.org>, Felix Cheung <
> felixche...@apache.org>, Sean Owen <so...@cloudera.com>
> Date:        2017/11/29 12:56
> Subject:        Re: [VOTE] Spark 2.2.1 (RC2)
> ------------------------------
>
>
>
> +1 (non-binding)
>
> RC2 is tested on CentOS, too.
>
> Bests,
> Dongjoon.
>
> On Tue, Nov 28, 2017 at 4:35 PM, Hyukjin Kwon <*gurwls...@gmail.com*
> <gurwls...@gmail.com>> wrote:
> +1
>
> 2017-11-29 8:18 GMT+09:00 Henry Robinson <*he...@apache.org*
> <he...@apache.org>>:
> (My vote is non-binding, of course).
>
> On 28 November 2017 at 14:53, Henry Robinson <*he...@apache.org*
> <he...@apache.org>> wrote:
> +1, tests all pass for me on Ubuntu 16.04.
>
> On 28 November 2017 at 10:36, Herman van Hövell tot Westerflier <
> *hvanhov...@databricks.com* <hvanhov...@databricks.com>> wrote:
> +1
>
> On Tue, Nov 28, 2017 at 7:35 PM, Felix Cheung <*felixche...@apache.org*
> <felixche...@apache.org>> wrote:
> +1
>
> Thanks Sean. Please vote!
>
> Tested various scenarios with R package. Ubuntu, Debian, Windows r-devel
> and release and on r-hub. Verified CRAN checks are clean (only 1 NOTE!) and
> no leaked files (.cache removed, /tmp clean)
>
>
> On Sun, Nov 26, 2017 at 11:55 AM Sean Owen <*so...@cloudera.com*
> <so...@cloudera.com>> wrote:
> Yes it downloads recent releases. The test worked for me on a second try,
> so I suspect a bad mirror. If this comes up frequently we can just add
> retry logic, as the closer.lua script will return different mirrors each
> time.
>
> The tests all pass for me on the latest Debian, so +1 for this release.
>
> (I committed the change to set -Xss4m for tests consistently, but this
> shouldn't block a release.)
>
>
> On Sat, Nov 25, 2017 at 12:47 PM Felix Cheung <*felixche...@apache.org*
> <felixche...@apache.org>> wrote:
> Ah sorry digging through the history it looks like this is changed
> relatively recently and should only download previous releases.
>
> Perhaps we are intermittently hitting a mirror that doesn’t have the
> files?
>
>
> *https://github.com/apache/spark/commit/daa838b8886496e64700b55d1301d348f1d5c9ae*
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_apache_spark_commit_daa838b8886496e64700b55d1301d348f1d5c9ae&d=DwMFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=b70dG_9wpCdZSkBJahHYQ4IwKMdp2hQM29f-ZCGj9Pg&m=WVNCcWfajx4adpKcHE0NxxV2_-fDqHOsX2gxULbm7Hs&s=hs95TxtmzYWnoHYZjf51e_CNPW0Lxe1DnqZms2h_ChQ&e=>
>
>
>
> On Sat, Nov 25, 2017 at 10:36 AM Felix Cheung <*felixche...@apache.org*
> <felixche...@apache.org>> wrote:
> Thanks Sean.
>
> For the second one, it looks like the  HiveExternalCatalogVersionsSuite is
> trying to download the release tgz from the official Apache mirror, which
> won’t work unless the release is actually, released?
> valpreferredMirror=
>
> Seq("wget", "*https://www.apache.org/dyn/closer.lua?preferred=true*
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.apache.org_dyn_closer.lua-3Fpreferred-3Dtrue&d=DwMFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=b70dG_9wpCdZSkBJahHYQ4IwKMdp2hQM29f-ZCGj9Pg&m=WVNCcWfajx4adpKcHE0NxxV2_-fDqHOsX2gxULbm7Hs&s=-ySYsEWnZhSg0bpbCeefR_JDKa0cO1tHCW5CJe_AiP0&e=>
> ", "-q", "-O", "-").!!.trim
> valurl=s"$preferredMirror/spark/spark-$version/spark-$
> version-bin-hadoop2.7.tgz"
>
>
>
> It’s proabbly getting an error page instead.
>
>
> On Sat, Nov 25, 2017 at 10:28 AM Sean Owen <*so...@cloudera.com*
> <so...@cloudera.com>> wrote:
> I hit the same StackOverflowError as in the previous RC test, but, pretty
> sure this is just because the increased thread stack size JVM flag isn't
> applied consistently. This seems to resolve it:
>
> *https://github.com/apache/spark/pull/19820*
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_apache_spark_pull_19820&d=DwMFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=b70dG_9wpCdZSkBJahHYQ4IwKMdp2hQM29f-ZCGj9Pg&m=WVNCcWfajx4adpKcHE0NxxV2_-fDqHOsX2gxULbm7Hs&s=h3SU2l6GO8-2bs9OSc842pTBaMzjk8Hq6CC-4i-nZPQ&e=>
>
> This wouldn't block release IMHO.
>
>
> I am currently investigating this failure though -- seems like the
> mechanism that downloads Spark tarballs needs fixing, or updating, in the
> 2.2 branch?
>
> HiveExternalCatalogVersionsSuite:
>
> gzip: stdin: not in gzip format
>
> tar: Child returned status 1
>
> tar: Error is not recoverable: exiting now
>
> *** RUN ABORTED ***
>
>   java.io.IOException: Cannot run program "./bin/spark-submit" (in
> directory "/tmp/test-spark/spark-2.0.2"): error=2, No such file or
> directory
>
> On Sat, Nov 25, 2017 at 12:34 AM Felix Cheung <*felixche...@apache.org*
> <felixche...@apache.org>> wrote:
> Please vote on releasing the following candidate as Apache Spark version
> 2.2.1. The vote is open until Friday December 1, 2017 at 8:00:00 am UTC
> and passes if a majority of at least 3 PMC +1 votes are cast.
>
>
> [ ] +1 Release this package as Apache Spark 2.2.1
>
> [ ] -1 Do not release this package because ...
>
>
> To learn more about Apache Spark, please see *https://spark.apache.org/*
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__spark.apache.org_&d=DwMFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=b70dG_9wpCdZSkBJahHYQ4IwKMdp2hQM29f-ZCGj9Pg&m=WVNCcWfajx4adpKcHE0NxxV2_-fDqHOsX2gxULbm7Hs&s=eyXtxjDyM_HgW4H-niKxyA9uiYiDBs65UJB9xkXEv2c&e=>
>
>
> The tag to be voted on is v2.2.1-rc2
> *https://github.com/apache/spark/tree/v2.2.1-rc2*
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_apache_spark_tree_v2.2.1-2Drc2&d=DwMFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=b70dG_9wpCdZSkBJahHYQ4IwKMdp2hQM29f-ZCGj9Pg&m=WVNCcWfajx4adpKcHE0NxxV2_-fDqHOsX2gxULbm7Hs&s=eUhE5bbOKKS6mInmx1SGSr5EI4TqHevk6FOqfv64i_4&e=>
>   (e30e2698a2193f0bbdcd4edb884710819ab6397c)
>
> List of JIRA tickets resolved in this release can be found here
> *https://issues.apache.org/jira/projects/SPARK/versions/12340470*
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__issues.apache.org_jira_projects_SPARK_versions_12340470&d=DwMFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=b70dG_9wpCdZSkBJahHYQ4IwKMdp2hQM29f-ZCGj9Pg&m=WVNCcWfajx4adpKcHE0NxxV2_-fDqHOsX2gxULbm7Hs&s=pQRROoYECKC9zu7BSCvffAEYGD7bmxyRmkMffqkPaXk&e=>
>
>
> The release files, including signatures, digests, etc. can be found at:
> *https://dist.apache.org/repos/dist/dev/spark/spark-2.2.1-rc2-bin/*
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__dist.apache.org_repos_dist_dev_spark_spark-2D2.2.1-2Drc2-2Dbin_&d=DwMFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=b70dG_9wpCdZSkBJahHYQ4IwKMdp2hQM29f-ZCGj9Pg&m=WVNCcWfajx4adpKcHE0NxxV2_-fDqHOsX2gxULbm7Hs&s=vuvgUXSfszp32zQAimuTmyTXwsB1QGGVnKCq9XpjQyg&e=>
>
> Release artifacts are signed with the following key:
> *https://dist.apache.org/repos/dist/dev/spark/KEYS*
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__dist.apache.org_repos_dist_dev_spark_KEYS&d=DwMFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=b70dG_9wpCdZSkBJahHYQ4IwKMdp2hQM29f-ZCGj9Pg&m=WVNCcWfajx4adpKcHE0NxxV2_-fDqHOsX2gxULbm7Hs&s=pETEhVi5MEdLXWqvOcElD5Q4OHu5Jn4E7XXlcY-CsQs&e=>
>
> The staging repository for this release can be found at:
> *https://repository.apache.org/content/repositories/orgapachespark-1257/*
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__repository.apache.org_content_repositories_orgapachespark-2D1257_&d=DwMFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=b70dG_9wpCdZSkBJahHYQ4IwKMdp2hQM29f-ZCGj9Pg&m=WVNCcWfajx4adpKcHE0NxxV2_-fDqHOsX2gxULbm7Hs&s=UT1rKau36W-7JfUugXMC_BCEt4Zk20tInhbT0Bg52SM&e=>
>
> The documentation corresponding to this release can be found at:
>
> *https://dist.apache.org/repos/dist/dev/spark/spark-2.2.1-rc2-docs/_site/index.html*
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__dist.apache.org_repos_dist_dev_spark_spark-2D2.2.1-2Drc2-2Ddocs_-5Fsite_index.html&d=DwMFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=b70dG_9wpCdZSkBJahHYQ4IwKMdp2hQM29f-ZCGj9Pg&m=WVNCcWfajx4adpKcHE0NxxV2_-fDqHOsX2gxULbm7Hs&s=lHSJIz9KadjrrrffuvOPxLvDccwwlodqO_CxQcCk1PI&e=>
>
>
> *FAQ*
>
> *How can I help test this release?*
>
> If you are a Spark user, you can help us test this release by taking an
> existing Spark workload and running on this release candidate, then
> reporting any regressions.
>
> If you're working in PySpark you can set up a virtual env and install the
> current RC and see if anything important breaks, in the Java/Scala you can
> add the staging repository to your projects resolvers and test with the RC
> (make sure to clean up the artifact cache before/after so you don't end up
> building with a out of date RC going forward).
>
> *What should happen to JIRA tickets still targeting 2.2.1?*
>
> Committers should look at those and triage. Extremely important bug fixes,
> documentation, and API tweaks that impact compatibility should be worked on
> immediately. Everything else please retarget to 2.2.2.
>
> *But my bug isn't fixed!??!*
>
> In order to make timely releases, we will typically not hold the release
> unless the bug in question is a regression from 2.2.0. That being said if
> there is something which is a regression form 2.2.0 that has not been
> correctly targeted please ping a committer to help target the issue (you
> can see the open issues listed as impacting Spark 2.2.1 / 2.2.2 *here*
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__issues.apache.org_jira_issues_-3Fjql-3Dproject-2520-253D-2520SPARK-2520AND-2520status-2520-253D-2520OPEN-2520AND-2520-28affectedVersion-2520-253D-25202.2.1-2520OR-2520affectedVersion-2520-253D-25202.2.2-29&d=DwMFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=b70dG_9wpCdZSkBJahHYQ4IwKMdp2hQM29f-ZCGj9Pg&m=WVNCcWfajx4adpKcHE0NxxV2_-fDqHOsX2gxULbm7Hs&s=ZW-BVV3xOCbwuTMugoLdpdqQIIQq255D5ICs2Ur7WyM&e=>
> .
>
> *What are the **unresolved issues targeted for 2.2.1*
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__issues.apache.org_jira_issues_-3Fjql-3Dproject-2520-253D-2520SPARK-2520AND-2520status-2520in-2520-28Open-252C-2520-2522In-2520Progress-2522-252C-2520Reopened-29-2520AND-2520-2522Target-2520Version-252Fs-2522-2520-253D-25202.2.1&d=DwMFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=b70dG_9wpCdZSkBJahHYQ4IwKMdp2hQM29f-ZCGj9Pg&m=WVNCcWfajx4adpKcHE0NxxV2_-fDqHOsX2gxULbm7Hs&s=1kUm3VAHEBf-_Qy4cZa4rK5HsEZ_0MvmZHuF8yS0gik&e=>
> *?*
>
> At the time of the writing, there is one intermited failure *SPARK-20201*
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__issues.apache.org_jira_browse_SPARK-2D20201&d=DwMFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=b70dG_9wpCdZSkBJahHYQ4IwKMdp2hQM29f-ZCGj9Pg&m=WVNCcWfajx4adpKcHE0NxxV2_-fDqHOsX2gxULbm7Hs&s=KBdZdyfkHvBk1ikAKi79I99vTnlXHbnwBe7d3NJTjg8&e=>
>  which
> we are tracking since 2.2.0.
>
>
>
>
>
>
>
>
>
>

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