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2016-04-21 Thread holdenk
Github user holdenk commented on the pull request: https://github.com/apache/spark/pull/6848#issuecomment-213169287 @koertkuipers now days we try and provide a description for our pull request (sometimes it can be copied from the JIRA) for the eventual commit message - it might be goo

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2016-04-21 Thread SparkQA
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2016-04-21 Thread ScrapCodes
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2016-04-20 Thread koertkuipers
Github user koertkuipers commented on the pull request: https://github.com/apache/spark/pull/6848#issuecomment-212715309 ok i updated this for spark 2. the unit test failures seem unrelated --- If your project is set up for it, you can reply to this email and have your reply appear on

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2016-04-20 Thread koertkuipers
Github user koertkuipers commented on the pull request: https://github.com/apache/spark/pull/6848#issuecomment-212529668 Jenkins, retest this please. On Wed, Apr 20, 2016 at 1:26 PM, UCB AMPLab wrote: > Build finished. Test FAILed. > > — > You are re

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2016-04-18 Thread ScrapCodes
Github user ScrapCodes commented on the pull request: https://github.com/apache/spark/pull/6848#issuecomment-211739456 IMO, this is useful in one way that hadoop configuration need not be a global state. We can have a default set of configuration that we use everywhere as a default. A

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2016-04-18 Thread koertkuipers
Github user koertkuipers commented on the pull request: https://github.com/apache/spark/pull/6848#issuecomment-211699030 i am happy to update this, if there is any interest. or otherwise i will close. On Mon, Apr 18, 2016 at 9:31 PM, Holden Karau wrote: > Woul

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2016-04-18 Thread holdenk
Github user holdenk commented on the pull request: https://github.com/apache/spark/pull/6848#issuecomment-211674606 Would we want to maybe consider this for Spark 2.0? It seems like if were maybe going to be adding new default params to functions this might be the time to do it (of co

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2015-07-14 Thread koertkuipers
Github user koertkuipers commented on the pull request: https://github.com/apache/spark/pull/6848#issuecomment-121468577 @andrewor14 @JoshRosen anything i need to do, besides fixing trivial conflicts? --- If your project is set up for it, you can reply to this email and have your re

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2015-07-10 Thread koertkuipers
Github user koertkuipers commented on the pull request: https://github.com/apache/spark/pull/6848#issuecomment-120564648 i will fix resolve conflicts when someone says this is good to go. otherwise i keep merging from master every few days. --- If your project is set up for it, you c

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2015-06-23 Thread AmplabJenkins
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2015-06-23 Thread SparkQA
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2015-06-23 Thread AmplabJenkins
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2015-06-23 Thread AmplabJenkins
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2015-06-22 Thread koertkuipers
Github user koertkuipers commented on the pull request: https://github.com/apache/spark/pull/6848#issuecomment-114350614 i see: [info] spark-core: found 2 potential binary incompatibilities (filtered 488) [error] * method saveAsTextFile(java.lang.String,org.apache.hadoop.mapre

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2015-06-22 Thread AmplabJenkins
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2015-06-22 Thread SparkQA
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2015-06-22 Thread SparkQA
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2015-06-22 Thread AmplabJenkins
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2015-06-22 Thread AmplabJenkins
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2015-06-22 Thread andrewor14
Github user andrewor14 commented on the pull request: https://github.com/apache/spark/pull/6848#issuecomment-114220876 retest this please. MiMa tests have been a little flaky recently. --- If your project is set up for it, you can reply to this email and have your reply appear on GitH

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2015-06-20 Thread SparkQA
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2015-06-20 Thread AmplabJenkins
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2015-06-20 Thread SparkQA
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2015-06-20 Thread AmplabJenkins
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2015-06-20 Thread AmplabJenkins
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2015-06-20 Thread koertkuipers
Github user koertkuipers commented on the pull request: https://github.com/apache/spark/pull/6848#issuecomment-113789091 i see MiMa failed. what binary compatibility promise does spark make? all minor versions are binary compatible? --- If your project is set up for it, you can reply

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2015-06-19 Thread AmplabJenkins
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2015-06-19 Thread SparkQA
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2015-06-19 Thread SparkQA
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2015-06-19 Thread SparkQA
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