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From Marcelo Vanzin <van...@gmail.com>
Subject Re: [VOTE] Apache Spark 3.0.0 RC1
Date Sat, 11 Apr 2020 00:30:12 GMT
-0.5, mostly because this requires extra things not in the default
packaging...

But if you add the hadoop-aws libraries and dependencies to Spark built
with Hadoop 3, things don't work:

$ ./bin/spark-shell --jars s3a://blah
20/04/10 16:28:32 WARN Utils: Your hostname, vanzin-t480 resolves to a
loopback address: 127.0.1.1; using 192.168.2.14 instead (on interface
wlp3s0)
20/04/10 16:28:32 WARN Utils: Set SPARK_LOCAL_IP if you need to bind
to another address
20/04/10 16:28:32 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where
applicable
20/04/10 16:28:32 WARN MetricsConfig: Cannot locate configuration:
tried hadoop-metrics2-s3a-file-system.properties,hadoop-metrics2.properties
Exception in thread "main" java.lang.NoSuchMethodError:
com.google.common.base.Preconditions.checkArgument(ZLjava/lang/String;Ljava/lang/Object;Ljava/lang/Object;)V
        at
org.apache.hadoop.fs.s3a.S3AUtils.lookupPassword(S3AUtils.java:816)
        at
org.apache.hadoop.fs.s3a.S3AUtils.lookupPassword(S3AUtils.java:792)
        at
org.apache.hadoop.fs.s3a.S3AUtils.getAWSAccessKeys(S3AUtils.java:747)
        at
org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider.<init>(SimpleAWSCredentialsProvider.java:58)
        at
org.apache.hadoop.fs.s3a.S3AUtils.createAWSCredentialProviderSet(S3AUtils.java:600)
        at
org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:260)
        at
org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:3303)
        at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:124)
        at
org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:3352)
        at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:3320)
        at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:479)
        at
org.apache.spark.deploy.DependencyUtils$.resolveGlobPath(DependencyUtils.scala:191)

That's because Hadoop 3.2 is using Guava 27 and Spark still ships Guava 14
(which is ok for Hadoop 2).


On Tue, Mar 31, 2020 at 8:05 PM Reynold Xin <rxin@databricks.com> wrote:

> Please vote on releasing the following candidate as Apache Spark version
> 3.0.0.
>
> The vote is open until 11:59pm Pacific time Fri Apr 3, and passes if a
> majority +1 PMC votes are cast, with a minimum of 3 +1 votes.
>
> [ ] +1 Release this package as Apache Spark 3.0.0
> [ ] -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 v3.0.0-rc1 (commit
> 6550d0d5283efdbbd838f3aeaf0476c7f52a0fb1):
> https://github.com/apache/spark/tree/v3.0.0-rc1
>
> The release files, including signatures, digests, etc. can be found at:
> https://dist.apache.org/repos/dist/dev/spark/v3.0.0-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-1341/
>
> The documentation corresponding to this release can be found at:
> https://dist.apache.org/repos/dist/dev/spark/v3.0.0-rc1-docs/
>
> The list of bug fixes going into 2.4.5 can be found at the following URL:
> https://issues.apache.org/jira/projects/SPARK/versions/12339177
>
> This release is using the release script of the tag v3.0.0-rc1.
>
>
> 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 3.0.0?
> ===========================================
> The current list of open tickets targeted at 3.0.0 can be found at:
> https://issues.apache.org/jira/projects/SPARK and search for "Target
> Version/s" = 3.0.0
>
> 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.
>
>
> Note: I fully expect this RC to fail.
>
>
>
>

-- 
Marcelo Vanzin
vanzin@gmail.com
"Life's too short to drink cheap beer"

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