I’ve tried a couple of times. The latest test run took 12 hr+ 1 aborted suite: 00:53:25.769 WARN org.apache.spark.sql.hive.HiveExternalCatalogVersionsSuite: Failed to download Spark 2.3.2 from http://mirrors.koehn.com/apache//spark/spark-2.3.2/spark-2.3.2-bin-hadoop2.7.tgz: Error writing to server 00:53:25.812 WARN org.apache.spark.sql.hive.HiveExternalCatalogVersionsSuite: Failed to download Spark 2.3.2 from http://mirror.cc.columbia.edu/pub/software/apache//spark/spark-2.3.2/spark-2.3.2-bin-hadoop2.7.tgz: Error writing to server 00:53:25.838 WARN org.apache.spark.sql.hive.HiveExternalCatalogVersionsSuite: Failed to download Spark 2.3.2 from https://archive.apache.org/dist/spark/spark-2.3.2/spark-2.3.2-bin-hadoop2.7.tgz: Socket closed
org.apache.spark.sql.hive.HiveExternalCatalogVersionsSuite *** ABORTED *** Exception encountered when invoking run on a nested suite - Unable to download Spark 2.3.2 (HiveExternalCatalogVersionsSuite.scala:97) And then it stopped. I checked this morning the archive link should be valid. Try to see if I can try again/resume from it. ________________________________ From: Takeshi Yamamuro <linguin....@gmail.com> Sent: Sunday, January 20, 2019 6:45 PM To: Sean Owen Cc: Spark dev list Subject: Re: [VOTE] Release Apache Spark 2.3.3 (RC1) Oh, sorry for that and I misunderstood the Apache release policy. Yea, its ok to keep the RC1 voting. Best, Takeshi On Mon, Jan 21, 2019 at 11:07 AM Sean Owen <sro...@gmail.com<mailto:sro...@gmail.com>> wrote: OK, if it passes tests, I'm +1 on the release. Can anyone else verify the tests pass? What is the reason for a new RC? I didn't see any other issues reported. On Sun, Jan 20, 2019 at 8:03 PM Takeshi Yamamuro <linguin....@gmail.com<mailto:linguin....@gmail.com>> wrote: > > Hi, all > > Thanks for the checks, Sean and Felix. > I'll start the next vote as RC2 this Tuesday noon (PST). > > > Sean > I re-run JavaTfIdfSuite on my env and it passed. > I used `-Pyarn -Phadoop-2.7 -Phive -Phive-thriftserver -Pmesos -Psparkr` and > run the tests on a EC2 instance below (I launched the new instance for the > tests); > ---- > $ cat /etc/os-release > NAME="Amazon Linux" > VERSION="2" > ID="amzn" > ID_LIKE="centos rhel fedora" > VERSION_ID="2" > PRETTY_NAME="Amazon Linux 2" > ANSI_COLOR="0;33" > CPE_NAME="cpe:2.3:o:amazon:amazon_linux:2" > HOME_URL="https://amazonlinux.com/"; > $ java -version > openjdk version "1.8.0_191" > OpenJDK Runtime Environment (build 1.8.0_191-b12) > OpenJDK 64-Bit Server VM (build 25.191-b12, mixed mode) > > > > > On Mon, Jan 21, 2019 at 9:53 AM Felix Cheung > <felixcheun...@hotmail.com<mailto:felixcheun...@hotmail.com>> wrote: >> >> +1 >> >> My focus is on R (sorry couldn’t cross validate what’s Sean is seeing) >> >> tested: >> reviewed doc >> R package test >> win-builder, r-hub >> Tarball/package signature >> >> >> >> ________________________________ >> From: Takeshi Yamamuro <linguin....@gmail.com<mailto:linguin....@gmail.com>> >> Sent: Thursday, January 17, 2019 6:49 PM >> To: Spark dev list >> Subject: [VOTE] Release Apache Spark 2.3.3 (RC1) >> >> Please vote on releasing the following candidate as Apache Spark version >> 2.3.3. >> >> The vote is open until January 20 8:00PM (PST) and passes if a majority +1 >> PMC votes are cast, with >> a minimum of 3 +1 votes. >> >> [ ] +1 Release this package as Apache Spark 2.3.3 >> [ ] -1 Do not release this package because ... >> >> To learn more about Apache Spark, please see http://spark.apache.org/ >> >> The tag to be voted on is v2.3.3-rc1 (commit >> b5ea9330e3072e99841270b10dc1d2248127064b): >> https://github.com/apache/spark/tree/v2.3.3-rc1 >> >> The release files, including signatures, digests, etc. can be found at: >> https://dist.apache.org/repos/dist/dev/spark/v2.3.3-rc1-bin/ >> >> Signatures used for Spark RCs can be found in this file: >> https://dist.apache.org/repos/dist/dev/spark/KEYS >> >> The staging repository for this release can be found at: >> https://repository.apache.org/content/repositories/orgapachespark-1297 >> >> The documentation corresponding to this release can be found at: >> https://dist.apache.org/repos/dist/dev/spark/v2.3.3-rc1-docs/ >> >> The list of bug fixes going into 2.3.3 can be found at the following URL: >> https://issues.apache.org/jira/projects/SPARK/versions/12343759 >> >> 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 2.3.3? >> =========================================== >> >> The current list of open tickets targeted at 2.3.3 can be found at: >> https://issues.apache.org/jira/projects/SPARK and search for "Target >> Version/s" = 2.3.3 >> >> 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 an >> appropriate release. >> >> ================== >> 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 the previous >> release. That being said, if there is something which is a regression >> that has not been correctly targeted please ping me or a committer to >> help target the issue. >> >> -- >> --- >> Takeshi Yamamuro > > > > -- > --- > Takeshi Yamamuro -- --- Takeshi Yamamuro
