-1 (non-binding)
I tested it on Ubuntu 16.04 and openjdk8 on ppc64le. I got several errors.
I expect that this backport (https://github.com/apache/spark/pull/17509)
will be integrated into Spark 2.1.1.
$ java -version
openjdk version "1.8.0_111"
OpenJDK Runtime Environment (build
1.8.0_111-8u111-b14-2ubuntu0.16.04.2-b14)
OpenJDK 64-Bit Server VM (build 25.111-b14, mixed mode)
$ build/mvn -DskipTests -Phive -Phive-thriftserver -Pyarn -Phadoop-2.7
package install
$ build/mvn -Phive -Phive-thriftserver -Pyarn -Phadoop-2.7 test -pl core
...
-------------------------------------------------------
T E S T S
-------------------------------------------------------
OpenJDK 64-Bit Server VM warning: ignoring option MaxPermSize=512m;
support was removed in 8.0
Running org.apache.spark.memory.TaskMemoryManagerSuite
Tests run: 6, Failures: 0, Errors: 2, Skipped: 0, Time elapsed: 0.445 sec
<<< FAILURE! - in org.apache.spark.memory.TaskMemoryManagerSuite
encodePageNumberAndOffsetOffHeap(org.apache.spark.memory.TaskMemoryManagerSuite)
Time elapsed: 0.007 sec <<< ERROR!
java.lang.IllegalArgumentException: requirement failed: No support for
unaligned Unsafe. Set spark.memory.offHeap.enabled to false.
at
org.apache.spark.memory.TaskMemoryManagerSuite.encodePageNumberAndOffsetOffHeap(TaskMemoryManagerSuite.java:48)
offHeapConfigurationBackwardsCompatibility(org.apache.spark.memory.TaskMemoryManagerSuite)
Time elapsed: 0.013 sec <<< ERROR!
java.lang.IllegalArgumentException: requirement failed: No support for
unaligned Unsafe. Set spark.memory.offHeap.enabled to false.
at
org.apache.spark.memory.TaskMemoryManagerSuite.offHeapConfigurationBackwardsCompatibility(TaskMemoryManagerSuite.java:138)
Running org.apache.spark.io.NioBufferedFileInputStreamSuite
Tests run: 7, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 1.029 sec
- in org.apache.spark.io.NioBufferedFileInputStreamSuite
Running org.apache.spark.unsafe.map.BytesToBytesMapOnHeapSuite
Tests run: 13, Failures: 1, Errors: 0, Skipped: 0, Time elapsed: 4.708 sec
<<< FAILURE! - in org.apache.spark.unsafe.map.BytesToBytesMapOnHeapSuite
testPeakMemoryUsed(org.apache.spark.unsafe.map.BytesToBytesMapOnHeapSuite)
Time elapsed: 0.006 sec <<< FAILURE!
java.lang.AssertionError: expected:<16648> but was:<16912>
Running org.apache.spark.unsafe.map.BytesToBytesMapOffHeapSuite
Tests run: 13, Failures: 0, Errors: 13, Skipped: 0, Time elapsed: 0.043
sec <<< FAILURE! - in
org.apache.spark.unsafe.map.BytesToBytesMapOffHeapSuite
failureToGrow(org.apache.spark.unsafe.map.BytesToBytesMapOffHeapSuite)
Time elapsed: 0.002 sec <<< ERROR!
java.lang.IllegalArgumentException: requirement failed: No support for
unaligned Unsafe. Set spark.memory.offHeap.enabled to false.
...
Tests run: 207, Failures: 7, Errors: 16, Skipped: 0
Kazuaki Ishizaki
From: Michael Armbrust <mich...@databricks.com>
To: "dev@spark.apache.org" <dev@spark.apache.org>
Date: 2017/03/31 08:10
Subject: [VOTE] Apache Spark 2.1.1 (RC2)
Please vote on releasing the following candidate as Apache Spark version
2.1.0. The vote is open until Sun, April 2nd, 2018 at 16:30 PST and passes
if a majority of at least 3 +1 PMC votes are cast.
[ ] +1 Release this package as Apache Spark 2.1.1
[ ] -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 v2.1.1-rc2 (
02b165dcc2ee5245d1293a375a31660c9d4e1fa6)
List of JIRA tickets resolved can be found with this filter.
The release files, including signatures, digests, etc. can be found at:
http://home.apache.org/~pwendell/spark-releases/spark-2.1.1-rc2-bin/
Release artifacts are signed with the following key:
https://people.apache.org/keys/committer/pwendell.asc
The staging repository for this release can be found at:
https://repository.apache.org/content/repositories/orgapachespark-1227/
The documentation corresponding to this release can be found at:
http://people.apache.org/~pwendell/spark-releases/spark-2.1.1-rc2-docs/
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.
What should happen to JIRA tickets still targeting 2.1.1?
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 2.1.2 or 2.2.0.
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 2.1.0.
What happened to RC1?
There were issues with the release packaging and as a result was skipped.
