I have personally never tried to include hadoop-aws that way. But at the very least, I'd try to use the same version of Hadoop as the Spark build (2.7.3 IIRC). I don't really expect a different version to work, and if it did in the past it definitely was not by design.
On Fri, Jun 1, 2018 at 5:50 PM, Nicholas Chammas <nicholas.cham...@gmail.com> wrote: > Building with -Phadoop-2.7 didn’t help, and if I remember correctly, > building with -Phadoop-2.8 worked with hadoop-aws in the 2.3.0 release, so > it appears something has changed since then. > > I wasn’t familiar with -Phadoop-cloud, but I can try that. > > My goal here is simply to confirm that this release of Spark works with > hadoop-aws like past releases did, particularly for Flintrock users who use > Spark with S3A. > > We currently provide -hadoop2.6, -hadoop2.7, and -without-hadoop builds with > every Spark release. If the -hadoop2.7 release build won’t work with > hadoop-aws anymore, are there plans to provide a new build type that will? > > Apologies if the question is poorly formed. I’m batting a bit outside my > league here. Again, my goal is simply to confirm that I/my users still have > a way to use s3a://. In the past, that way was simply to call pyspark > --packages org.apache.hadoop:hadoop-aws:2.8.4 or something very similar. If > that will no longer work, I’m trying to confirm that the change of behavior > is intentional or acceptable (as a review for the Spark project) and figure > out what I need to change (as due diligence for Flintrock’s users). > > Nick > > > On Fri, Jun 1, 2018 at 8:21 PM Marcelo Vanzin <van...@cloudera.com> wrote: >> >> Using the hadoop-aws package is probably going to be a little more >> complicated than that. The best bet is to use a custom build of Spark >> that includes it (use -Phadoop-cloud). Otherwise you're probably >> looking at some nasty dependency issues, especially if you end up >> mixing different versions of Hadoop. >> >> On Fri, Jun 1, 2018 at 4:01 PM, Nicholas Chammas >> <nicholas.cham...@gmail.com> wrote: >> > I was able to successfully launch a Spark cluster on EC2 at 2.3.1 RC4 >> > using >> > Flintrock. However, trying to load the hadoop-aws package gave me some >> > errors. >> > >> > $ pyspark --packages org.apache.hadoop:hadoop-aws:2.8.4 >> > >> > <snipped> >> > >> > :: problems summary :: >> > :::: WARNINGS >> > [NOT FOUND ] >> > com.sun.jersey#jersey-json;1.9!jersey-json.jar(bundle) (2ms) >> > ==== local-m2-cache: tried >> > >> > >> > file:/home/ec2-user/.m2/repository/com/sun/jersey/jersey-json/1.9/jersey-json-1.9.jar >> > [NOT FOUND ] >> > com.sun.jersey#jersey-server;1.9!jersey-server.jar(bundle) (0ms) >> > ==== local-m2-cache: tried >> > >> > >> > file:/home/ec2-user/.m2/repository/com/sun/jersey/jersey-server/1.9/jersey-server-1.9.jar >> > [NOT FOUND ] >> > org.codehaus.jettison#jettison;1.1!jettison.jar(bundle) (1ms) >> > ==== local-m2-cache: tried >> > >> > >> > file:/home/ec2-user/.m2/repository/org/codehaus/jettison/jettison/1.1/jettison-1.1.jar >> > [NOT FOUND ] >> > com.sun.xml.bind#jaxb-impl;2.2.3-1!jaxb-impl.jar (0ms) >> > ==== local-m2-cache: tried >> > >> > >> > file:/home/ec2-user/.m2/repository/com/sun/xml/bind/jaxb-impl/2.2.3-1/jaxb-impl-2.2.3-1.jar >> > >> > I’d guess I’m probably using the wrong version of hadoop-aws, but I >> > called >> > make-distribution.sh with -Phadoop-2.8 so I’m not sure what else to try. >> > >> > Any quick pointers? >> > >> > Nick >> > >> > >> > On Fri, Jun 1, 2018 at 6:29 PM Marcelo Vanzin <van...@cloudera.com> >> > wrote: >> >> >> >> Starting with my own +1 (binding). >> >> >> >> On Fri, Jun 1, 2018 at 3:28 PM, Marcelo Vanzin <van...@cloudera.com> >> >> wrote: >> >> > Please vote on releasing the following candidate as Apache Spark >> >> > version >> >> > 2.3.1. >> >> > >> >> > Given that I expect at least a few people to be busy with Spark >> >> > Summit >> >> > next >> >> > week, I'm taking the liberty of setting an extended voting period. >> >> > The >> >> > vote >> >> > will be open until Friday, June 8th, at 19:00 UTC (that's 12:00 PDT). >> >> > >> >> > It passes with a majority of +1 votes, which must include at least 3 >> >> > +1 >> >> > votes >> >> > from the PMC. >> >> > >> >> > [ ] +1 Release this package as Apache Spark 2.3.1 >> >> > [ ] -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 v2.3.1-rc4 (commit 30aaa5a3): >> >> > https://github.com/apache/spark/tree/v2.3.1-rc4 >> >> > >> >> > The release files, including signatures, digests, etc. can be found >> >> > at: >> >> > https://dist.apache.org/repos/dist/dev/spark/v2.3.1-rc4-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-1272/ >> >> > >> >> > The documentation corresponding to this release can be found at: >> >> > https://dist.apache.org/repos/dist/dev/spark/v2.3.1-rc4-docs/ >> >> > >> >> > The list of bug fixes going into 2.3.1 can be found at the following >> >> > URL: >> >> > https://issues.apache.org/jira/projects/SPARK/versions/12342432 >> >> > >> >> > 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 2.3.1? >> >> > =========================================== >> >> > >> >> > The current list of open tickets targeted at 2.3.1 can be found at: >> >> > https://s.apache.org/Q3Uo >> >> > >> >> > 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. >> >> > >> >> > >> >> > -- >> >> > Marcelo >> >> >> >> >> >> >> >> -- >> >> Marcelo >> >> >> >> --------------------------------------------------------------------- >> >> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org >> >> >> > >> >> >> >> -- >> Marcelo -- Marcelo --------------------------------------------------------------------- To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
