[GitHub] spark pull request: [SPARK-10684] [SQL] StructType.interpretedOrde...

2016-02-17 Thread uhonnavarkar
Github user uhonnavarkar commented on the pull request: https://github.com/apache/spark/pull/8808#issuecomment-185122533 I have 2 question below. 1) I have downloaded pre-build version of spark-1.5.2-bin-hadoop2.6.tgz from spark website(http://spark.apache.org/downloads.html).

[GitHub] spark pull request: [SPARK-10684] [SQL] StructType.interpretedOrde...

2016-02-16 Thread JoshRosen
Github user JoshRosen commented on the pull request: https://github.com/apache/spark/pull/8808#issuecomment-184814195 @uhonnavarkar, this patch was incorporated into 1.5.1 and 1.6.0, if that's what you're asking. --- If your project is set up for it, you can reply to this email and h

[GitHub] spark pull request: [SPARK-10684] [SQL] StructType.interpretedOrde...

2016-02-14 Thread uhonnavarkar
Github user uhonnavarkar commented on the pull request: https://github.com/apache/spark/pull/8808#issuecomment-183873169 Is this problem still exist in Spark 1.5.2 / 1.6.0? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well.

[GitHub] spark pull request: [SPARK-10684] [SQL] StructType.interpretedOrde...

2015-09-21 Thread navis
Github user navis commented on the pull request: https://github.com/apache/spark/pull/8808#issuecomment-142143125 @rxin It's just a table with 100+ string columns partitioned by a string key. It happened by a simple query just like select <100+> from where . --- If your project is

[GitHub] spark pull request: [SPARK-10684] [SQL] StructType.interpretedOrde...

2015-09-18 Thread rxin
Github user rxin commented on the pull request: https://github.com/apache/spark/pull/8808#issuecomment-141520379 @navis can you give us the data type that caused this problem? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as wel

[GitHub] spark pull request: [SPARK-10684] [SQL] StructType.interpretedOrde...

2015-09-18 Thread rxin
Github user rxin commented on the pull request: https://github.com/apache/spark/pull/8808#issuecomment-141519938 Yes - I cherry-picked it now. Thanks. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does

[GitHub] spark pull request: [SPARK-10684] [SQL] StructType.interpretedOrde...

2015-09-18 Thread JoshRosen
Github user JoshRosen commented on the pull request: https://github.com/apache/spark/pull/8808#issuecomment-141496066 @rxin, should this also go into 1.5.1.? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project

[GitHub] spark pull request: [SPARK-10684] [SQL] StructType.interpretedOrde...

2015-09-18 Thread asfgit
Github user asfgit closed the pull request at: https://github.com/apache/spark/pull/8808 --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enab

[GitHub] spark pull request: [SPARK-10684] [SQL] StructType.interpretedOrde...

2015-09-18 Thread rxin
Github user rxin commented on the pull request: https://github.com/apache/spark/pull/8808#issuecomment-141371836 Thanks - I've merged this. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have th

[GitHub] spark pull request: [SPARK-10684] [SQL] StructType.interpretedOrde...

2015-09-17 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/8808#issuecomment-141364769 [Test build #1772 has finished](https://amplab.cs.berkeley.edu/jenkins/job/NewSparkPullRequestBuilder/1772/console) for PR 8808 at commit [`a26512b`](https://github

[GitHub] spark pull request: [SPARK-10684] [SQL] StructType.interpretedOrde...

2015-09-17 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/8808#issuecomment-141347060 [Test build #1772 has started](https://amplab.cs.berkeley.edu/jenkins/job/NewSparkPullRequestBuilder/1772/consoleFull) for PR 8808 at commit [`a26512b`](https://git

[GitHub] spark pull request: [SPARK-10684] [SQL] StructType.interpretedOrde...

2015-09-17 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request: https://github.com/apache/spark/pull/8808#issuecomment-141314783 Test FAILed. Refer to this link for build results (access rights to CI server needed): https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/42

[GitHub] spark pull request: [SPARK-10684] [SQL] StructType.interpretedOrde...

2015-09-17 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request: https://github.com/apache/spark/pull/8808#issuecomment-141314777 Merged build finished. Test FAILed. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project

[GitHub] spark pull request: [SPARK-10684] [SQL] StructType.interpretedOrde...

2015-09-17 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request: https://github.com/apache/spark/pull/8808#issuecomment-141309825 Merged build triggered. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not h

[GitHub] spark pull request: [SPARK-10684] [SQL] StructType.interpretedOrde...

2015-09-17 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request: https://github.com/apache/spark/pull/8808#issuecomment-141309836 Merged build started. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have

[GitHub] spark pull request: [SPARK-10684] [SQL] StructType.interpretedOrde...

2015-09-17 Thread navis
GitHub user navis opened a pull request: https://github.com/apache/spark/pull/8808 [SPARK-10684] [SQL] StructType.interpretedOrdering need not to be serialized Kryo fails with buffer overflow even with max value (2G). {noformat} org.apache.spark.SparkException: Kryo seri