+1 (non-binding)
Tested locally on Mac OS X with local-cluster mode.
On Wed, Sep 3, 2014 at 12:23 PM, Cheng Lian lian.cs@gmail.com wrote:
+1.
Tested locally on OSX 10.9, built with Hadoop 2.4.1
- Checked Datanucleus jar files
- Tested Spark SQL Thrift server and CLI under local mode and standalone
cluster against MySQL backed metastore
On Wed, Sep 3, 2014 at 11:25 AM, Josh Rosen rosenvi...@gmail.com wrote:
+1. Tested on Windows and EC2. Confirmed that the EC2 pvm-hvm switch
fixed the SPARK-3358 regression.
On September 3, 2014 at 10:33:45 AM, Marcelo Vanzin (van...@cloudera.com
)
wrote:
+1 (non-binding)
- checked checksums of a few packages
- ran few jobs against yarn client/cluster using hadoop2.3 package
- played with spark-shell in yarn-client mode
On Wed, Sep 3, 2014 at 12:24 AM, Patrick Wendell pwend...@gmail.com
wrote:
Please vote on releasing the following candidate as Apache Spark
version
1.1.0!
The tag to be voted on is v1.1.0-rc4 (commit 2f9b2bd):
https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=2f9b2bd7844ee8393dc9c319f4fefedf95f5e460
The release files, including signatures, digests, etc. can be found at:
http://people.apache.org/~pwendell/spark-1.1.0-rc4/
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-1031/
The documentation corresponding to this release can be found at:
http://people.apache.org/~pwendell/spark-1.1.0-rc4-docs/
Please vote on releasing this package as Apache Spark 1.1.0!
The vote is open until Saturday, September 06, at 08:30 UTC and passes
if
a majority of at least 3 +1 PMC votes are cast.
[ ] +1 Release this package as Apache Spark 1.1.0
[ ] -1 Do not release this package because ...
To learn more about Apache Spark, please see
http://spark.apache.org/
== Regressions fixed since RC3 ==
SPARK-3332 - Issue with tagging in EC2 scripts
SPARK-3358 - Issue with regression for m3.XX instances
== What justifies a -1 vote for this release? ==
This vote is happening very late into the QA period compared with
previous votes, so -1 votes should only occur for significant
regressions from 1.0.2. Bugs already present in 1.0.X will not block
this release.
== What default changes should I be aware of? ==
1. The default value of spark.io.compression.codec is now snappy
-- Old behavior can be restored by switching to lzf
2. PySpark now performs external spilling during aggregations.
-- Old behavior can be restored by setting spark.shuffle.spill to
false.
3. PySpark uses a new heuristic for determining the parallelism of
shuffle operations.
-- Old behavior can be restored by setting
spark.default.parallelism to the number of cores in the cluster.
-
To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org
For additional commands, e-mail: dev-h...@spark.apache.org
--
Marcelo
-
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