[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-28 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Hi, @tgravescs [SPARK-17714](https://issues.apache.org/jira/browse/SPARK-17714) has been created for further investigation. --- If your project is set up for it, you can reply to this email and

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-28 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Thanks @tgravescs yes. I have created a PR [15286](https://github.com/apache/spark/pull/15286). --- If your project is set up for it, you can reply to this email and have your reply appear on

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-28 Thread tgravescs
Github user tgravescs commented on the issue: https://github.com/apache/spark/pull/14659 its there to make sure everyone is using the same classloader and to handle if it they are chained. I'm not really familiar with all the scenarios of the repl. I see the Suite itself is getting

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-28 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 @tgravescs @srowen Thanks. Using `Class.forName` which uses `this.getClass().getClassLoader()` by default makes all the tests passed (both sbt and maven). However there must be some reason we

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-28 Thread tgravescs
Github user tgravescs commented on the issue: https://github.com/apache/spark/pull/14659 Yeah its definitely caused by the call in Task to the Utils.CallerContext.setCurrent(). It seems to be from it using the ExecutorClassLoader to go try to check the class for the executor and I

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-28 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Hi, @tgravescs @srowen Give an intermediate update, If using `Class.forName `instead of Utils.classForName`, Maven build and all of the tests will be passed. ``` def

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-28 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 @tgravescs @srowen Sorry for the failure. I am looking into it. --- 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 issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-28 Thread tgravescs
Github user tgravescs commented on the issue: https://github.com/apache/spark/pull/14659 this is a new feature so generally don't put them into point releases which are bug fixes. @srowen thanks for pointing out, I will take alook. --- If your project is set up for it, you

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-28 Thread srowen
Github user srowen commented on the issue: https://github.com/apache/spark/pull/14659 @Sherry302 @tgravescs oops it looks like this causes master Maven builds to fail: https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Test%20(Dashboard)/

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-27 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Hi, @tgravescs Should we also commit this PR to Branch-2? 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

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-27 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Thanks a lot for the review. @tgravescs @cnauroth @steveloughran @srowen --- 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

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-27 Thread tgravescs
Github user tgravescs commented on the issue: https://github.com/apache/spark/pull/14659 thanks @Sherry302 --- 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

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-27 Thread tgravescs
Github user tgravescs commented on the issue: https://github.com/apache/spark/pull/14659 +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 does not have this feature enabled and wishes so, or if the

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2016-09-26 Thread AmplabJenkins
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[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

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[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-26 Thread SparkQA
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[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-26 Thread SparkQA
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[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-26 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Hi, @tgravescs Thanks a lot for the comments. I have updated the PR to rename local vals and remove the `@since` in `Utils.scala`. --- If your project is set up for it, you can reply to this

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-26 Thread tgravescs
Github user tgravescs commented on the issue: https://github.com/apache/spark/pull/14659 Couple minor things otherwise looks good. --- 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

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2016-09-22 Thread AmplabJenkins
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[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-22 Thread AmplabJenkins
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[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-22 Thread SparkQA
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[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-22 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Hi, @tgravescs Thank you very much. Yes. I have updated the PR to make the string of the caller context shorter. --- If your project is set up for it, you can reply to this email and have your

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2016-09-22 Thread SparkQA
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[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-20 Thread AmplabJenkins
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2016-09-20 Thread SparkQA
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[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-20 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Hi, @tgravescs Thank you so much for the review. I have updated the PR based on your every comment. The only one question left is this one (in `Task`) "are these params all optional just

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS and YA...

2016-09-20 Thread SparkQA
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[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-09-19 Thread tgravescs
Github user tgravescs commented on the issue: https://github.com/apache/spark/pull/14659 also just to verify , did you test this with multiple tasks running in the same executor? Just want to make sure the audit log showed each task properly --- If your project is set up for it,

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-09-19 Thread tgravescs
Github user tgravescs commented on the issue: https://github.com/apache/spark/pull/14659 So correct me if I'm missing something but this is actually going to set the caller context for everything (HDFS and YARN) correct? The caller context is a static thing you set and its just

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-09-15 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Hi, @tgravescs Could you please review this again? I have updated the PR. --- 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

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2016-09-15 Thread AmplabJenkins
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2016-09-15 Thread SparkQA
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[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-09-15 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Retest this please. --- 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

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-09-15 Thread SparkQA
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2016-09-15 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 There is "0 failures (±0)" in the Test Result page. All tests passed. I'll re-trigger again. --- If your project is set up for it, you can reply to this email and have your reply appear on

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2016-09-15 Thread SparkQA
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2016-09-15 Thread SparkQA
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[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-09-15 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Hi, @tgravescs Thank you very much for the review. I have updated the PR based on your every comment, including adding a CallerContext class, updating java doc, and made the caller context string

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-09-14 Thread AmplabJenkins
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2016-09-14 Thread SparkQA
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2016-09-14 Thread SparkQA
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2016-09-13 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 @tgravescs Sure. 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 not have this feature enabled and

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-09-13 Thread tgravescs
Github user tgravescs commented on the issue: https://github.com/apache/spark/pull/14659 I'll try to look at this later today or tomorrow. --- 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

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2016-09-12 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Hi, @tgravescs Could you please review this PR? Thank you very much. --- 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

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2016-09-01 Thread AmplabJenkins
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2016-09-01 Thread SparkQA
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2016-08-31 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 @steveloughran Thank you very much. I have updated the PR based on your comments. Also, I have added an unit test. --- If your project is set up for it, you can reply to this email and have

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2016-08-31 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 @srowen Thanks all the same. --- 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

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2016-08-31 Thread SparkQA
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2016-08-31 Thread steveloughran
Github user steveloughran commented on the issue: https://github.com/apache/spark/pull/14659 This context is just something passed over IPC to provide a general string for the audit logs, the main actual access of it is in the HDFS audit log ``` HdfsAuditLogger

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-08-31 Thread srowen
Github user srowen commented on the issue: https://github.com/apache/spark/pull/14659 I'm not sure I know enough about the APIs and need for this to say I would review and merge this. --- If your project is set up for it, you can reply to this email and have your reply appear on

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2016-08-30 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Hi, @srowen Could you please review this PR again? --- 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

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2016-08-25 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Hi, @srowen Could you please review this PR? 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 not have

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2016-08-24 Thread AmplabJenkins
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2016-08-24 Thread SparkQA
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2016-08-24 Thread SparkQA
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2016-08-24 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Retest this please. --- 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

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2016-08-24 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 The only failure is 'basic functionality', but it passed locally. I'll re-trigger again. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as

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2016-08-24 Thread SparkQA
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2016-08-24 Thread SparkQA
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2016-08-22 Thread cnauroth
Github user cnauroth commented on the issue: https://github.com/apache/spark/pull/14659 +1 (non-binding) for the latest revision. I think this is an improvement, speaking from the perspective of the HDFS audit log. Thank you, @Sherry302 . :-) --- If your project is set up for

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2016-08-22 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Thanks a lot for adding me as “contributor” in Hadoop :) @steveloughran @cnauroth --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-08-22 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Hi, @steveloughran Thanks a lot for the comments. In the audit log, if users set some configuration in spark-defaults.conf like `spark.eventLog.dir hdfs://localhost:9000/spark-history`,

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-08-22 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Hi, @cnauroth Thank you very much for the review and suggestion. I have removed the spaces in the value of the caller context, and prepended "Spark" instead (refer to the commit

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-08-21 Thread cnauroth
Github user cnauroth commented on the issue: https://github.com/apache/spark/pull/14659 Actually a HADOOP JIRA... I filed [HADOOP-13528](https://issues.apache.org/jira/browse/HADOOP-13528) for follow-up. --- If your project is set up for it, you can reply to this email and have

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-08-21 Thread cnauroth
Github user cnauroth commented on the issue: https://github.com/apache/spark/pull/14659 > Chris: maybe the CallerContext class could check for bad characters, including spaces, newlines, "," and quotation marks .. the usual things to break parsers. Yes, good conversation to

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-08-21 Thread steveloughran
Github user steveloughran commented on the issue: https://github.com/apache/spark/pull/14659 Chris: maybe the CallerContext class could check for bad characters, including spaces, newlines, "," and quotation marks .. the usual things to break parsers. There's also

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-08-21 Thread cnauroth
Github user cnauroth commented on the issue: https://github.com/apache/spark/pull/14659 Hello @Sherry302 . Thank you for the patch. From the HDFS perspective, we recommend against using spaces in the value of the caller context. The HDFS audit log frequently gets parsed by

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-08-21 Thread steveloughran
Github user steveloughran commented on the issue: https://github.com/apache/spark/pull/14659 having some problems adding you as a contributor; JIRA scale issues, browser problems , I've asked others to try and do it. Start with the coding; I'll sort out the contributor entry ---

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-08-20 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Hi, @steveloughran Thank you very much for the comments. I have created an Hadoop jira [HADOOP-13527 ](https://issues.apache.org/jira/browse/HADOOP-13527) and attached the patch, could you please

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-08-20 Thread steveloughran
Github user steveloughran commented on the issue: https://github.com/apache/spark/pull/14659 That Caller context doesn't list Spark as one of the users in its LimitedPrivate scope. Add a Hadoop patch there and I'll get it in. This avoids arguments later when someone breaks the API,

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-08-19 Thread Sherry302
Github user Sherry302 commented on the issue: https://github.com/apache/spark/pull/14659 Hi, @srowen . Thank you so much for the review. Sorry for the test failure and late update. The failure reasons are that ‘jobID’ were none or there was no ‘spark.app.name’ in

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-08-17 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue: https://github.com/apache/spark/pull/14659 Test FAILed. Refer to this link for build results (access rights to CI server needed): https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/63910/ Test FAILed. ---

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-08-17 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue: https://github.com/apache/spark/pull/14659 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 does not have this feature

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-08-17 Thread SparkQA
Github user SparkQA commented on the issue: https://github.com/apache/spark/pull/14659 **[Test build #63910 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/63910/consoleFull)** for PR 14659 at commit

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-08-17 Thread SparkQA
Github user SparkQA commented on the issue: https://github.com/apache/spark/pull/14659 **[Test build #63910 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/63910/consoleFull)** for PR 14659 at commit

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-08-17 Thread srowen
Github user srowen commented on the issue: https://github.com/apache/spark/pull/14659 Jenkins test this please --- 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

[GitHub] spark issue #14659: [SPARK-16757] Set up Spark caller context to HDFS

2016-08-15 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue: https://github.com/apache/spark/pull/14659 Can one of the admins verify this patch? --- 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