Re: [VOTE] Apache Spark 2.2.0 (RC6)

2017-06-30 Thread Kazuaki Ishizaki
+1 (non-binding) I tested it on Ubuntu 16.04 and OpenJDK8 on ppc64le. All of the tests for core/sql-core/sql-catalyst/mllib/mllib-local have passed. $ 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

Re: [VOTE] Apache Spark 2.2.0 (RC6)

2017-06-30 Thread Michael Armbrust
I'll kick off the vote with a +1. On Fri, Jun 30, 2017 at 6:44 PM, Michael Armbrust wrote: > Please vote on releasing the following candidate as Apache Spark version > 2.2.0. The vote is open until Friday, July 7th, 2017 at 18:00 PST and > passes if a majority of at least 3 +1 PMC votes are cast

[VOTE] Apache Spark 2.2.0 (RC6)

2017-06-30 Thread Michael Armbrust
Please vote on releasing the following candidate as Apache Spark version 2.2.0. The vote is open until Friday, July 7th, 2017 at 18:00 PST and passes if a majority of at least 3 +1 PMC votes are cast. [ ] +1 Release this package as Apache Spark 2.2.0 [ ] -1 Do not release this package because ...

Improvement for memory config.

2017-06-30 Thread jinxing
1. For executor memory, we have spark.executor.memory for heap size, and spark.memory.offHeap.size for off-heap size, and these 2 together is the total memory consumption for each executor process. From the user side, what they always care is the total memory consumption, no matter it is on-heap