[GitHub] spark pull request: [SPARK-10277][MLlib][PySpark] Add @since annot...
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[GitHub] spark pull request: [SPARK-10277][MLlib][PySpark] Add @since annot...
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[GitHub] spark pull request: [SPARK-10277][MLlib][PySpark] Add @since annot...
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[GitHub] spark pull request: [SPARK-10278][MLlib][PySpark] Add @since annot...
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[GitHub] spark pull request: [SPARK-10278][MLlib][PySpark] Add @since annot...
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[GitHub] spark pull request: [SPARK-10259] [ML] Add @since annotation to ml...
Github user taishi-oss commented on the pull request: https://github.com/apache/spark/pull/8534#issuecomment-139132076 I'm sorry for taking your time. I modified the code that was pointed out. --- 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 enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-10278][MLlib][PySpark] Add @since annot...
GitHub user yu-iskw opened a pull request: https://github.com/apache/spark/pull/8685 [SPARK-10278][MLlib][PySpark] Add @since annotation to pyspark.mllib.tree You can merge this pull request into a Git repository by running: $ git pull https://github.com/yu-iskw/spark SPARK-10278 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/8685.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #8685 commit 232ec8bb77f2e74add6bd74e65f99ec00946b74c Author: Yu ISHIKAWA Date: 2015-09-10T06:46:25Z [SPARK-10278][MLlib][PySpark] Add @since annotation to pyspark.mllib.tree --- 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 enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-9014][SQL] Allow Python spark API to us...
Github user 0x0FFF commented on the pull request: https://github.com/apache/spark/pull/8658#issuecomment-139131882 @davies, could you take a look, 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 so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-7142][SQL]: Minor enhancement to Boolea...
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[GitHub] spark pull request: [SPARK-7142][SQL]: Minor enhancement to Boolea...
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[GitHub] spark pull request: [SPARK-7142][SQL]: Minor enhancement to Boolea...
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[GitHub] spark pull request: [SPARK-10277][MLlib][PySpark] Add @since annot...
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[GitHub] spark pull request: [SPARK-10277][MLlib][PySpark] Add @since annot...
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[GitHub] spark pull request: [SPARK-10277][MLlib][PySpark] Add @since annot...
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[GitHub] spark pull request: [SPARK-10277][MLlib][PySpark] Add @since annot...
GitHub user yu-iskw opened a pull request: https://github.com/apache/spark/pull/8684 [SPARK-10277][MLlib][PySpark] Add @since annotation to pyspark.mllib.regression You can merge this pull request into a Git repository by running: $ git pull https://github.com/yu-iskw/spark SPARK-10277 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/8684.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #8684 commit a984a5a5d75c747fd8a14a685511b0ff83c79edd Author: Yu ISHIKAWA Date: 2015-09-10T06:15:05Z [SPARK-10277][MLlib][PySpark] Add @since annotation to pyspark.mllib.regression --- 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 enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-10471] [CORE] [MESOS] prevent getting o...
Github user felixb commented on the pull request: https://github.com/apache/spark/pull/8639#issuecomment-139127892 I made the duration configurable. Still need to add it to fine grained scheduler. --- 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 enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-10466][SQL] UnsafeRow SerDe exception w...
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[GitHub] spark pull request: [SPARK-10466][SQL] UnsafeRow SerDe exception w...
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[GitHub] spark pull request: [SPARK-10466][SQL] UnsafeRow SerDe exception w...
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[GitHub] spark pull request: [SPARK-10466][SQL] UnsafeRow SerDe exception w...
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[GitHub] spark pull request: [SPARK-10466][SQL] UnsafeRow SerDe exception w...
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[GitHub] spark pull request: [SPARK-10466][SQL] UnsafeRow SerDe exception w...
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[GitHub] spark pull request: [SPARK-10466][SQL] UnsafeRow SerDe exception w...
Github user chenghao-intel commented on the pull request: https://github.com/apache/spark/pull/8635#issuecomment-139125161 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 so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: SPARK-10530 Kill other task attempts when one ...
Github user dragos commented on the pull request: https://github.com/apache/spark/pull/8683#issuecomment-139123810 Please modify the PR title to match the guidelines (`[SPARK-X][Component] `) --- 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 enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: SPARK-10530 Kill other task attempts when one ...
Github user dragos commented on a diff in the pull request: https://github.com/apache/spark/pull/8683#discussion_r39126706 --- Diff: core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala --- @@ -628,6 +628,9 @@ private[spark] class TaskSetManager( // here "result.value()" just returns the value and won't block other threads. sched.dagScheduler.taskEnded( tasks(index), Success, result.value(), result.accumUpdates, info, result.metrics) +// kill other attempts of this task when speculation is enabled. +taskAttempts(index).filter(_.taskId != tid).foreach(e=>sched.killSpeculatedTask(e.taskId)) --- End diff -- It'd be slightly better to rewrite this to ``` for (e <- taskAttempts(index) if e.taskId != tid) sched.killSpeculatedTast.. ``` The Scala compiler would translate the if-guard to a `withFilter` call, which is more efficient in that it won't create a new collection (which filter does). --- 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 enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: SPARK-10526 Display cores/memory on ExecutorsT...
Github user jerryshao commented on the pull request: https://github.com/apache/spark/pull/8681#issuecomment-139123631 Hi @zjffdu , is there any other we could get memory info of each executor, is passing to executor launch arguments and reporting back the only mechanism to achieve this? I'm guessing Spark driver has enough knowledge to know the memory size of each executor, like spark.executor.memory? I'm just wondered is there any other simple way to get this information. --- 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 enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-10516][ MLlib]Added values property in ...
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[GitHub] spark pull request: [SPARK-10516][ MLlib]Added values property in ...
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[GitHub] spark pull request: [SPARK-10516][ MLlib]Added values property in ...
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[GitHub] spark pull request: [SPARK-10065][SQL] avoid the extra copy when g...
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[GitHub] spark pull request: [SPARK-9926] [SPARK-10340] [SQL] Use S3 bulk l...
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[GitHub] spark pull request: [SPARK-10065][SQL] avoid the extra copy when g...
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[GitHub] spark pull request: [SPARK-9926] [SPARK-10340] [SQL] Use S3 bulk l...
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[GitHub] spark pull request: [SPARK-10065][SQL] avoid the extra copy when g...
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[GitHub] spark pull request: [SPARK-9926] [SPARK-10340] [SQL] Use S3 bulk l...
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[GitHub] spark pull request: [SPARK-10049][SPARKR] Support collecting data ...
Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/8458#discussion_r39125826
--- Diff: core/src/main/scala/org/apache/spark/api/r/RBackendHandler.scala
---
@@ -166,40 +178,75 @@ private[r] class RBackendHandler(server: RBackend)
// Read a number of arguments from the data input stream
def readArgs(numArgs: Int, dis: DataInputStream):
Array[java.lang.Object] = {
-(0 until numArgs).map { arg =>
+(0 until numArgs).map { _ =>
readObject(dis)
}.toArray
}
- // Checks if the arguments passed in args matches the parameter types.
- // NOTE: Currently we do exact match. We may add type conversions later.
+ // Find a matching method in all methods of the same name of a class
+ // according to the passed arguments. Arguments may be converted in
+ // order to match a method.
+ //
+ // Returns an Option[Int] which is the index of the matched method in
--- End diff --
I see. Maybe `findMatchedSignature`?
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[GitHub] spark pull request: [MINOR] [MLLIB] [ML] [DOC] Minor doc fixes for...
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[GitHub] spark pull request: [SPARK-10466][SQL] UnsafeRow SerDe exception w...
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[GitHub] spark pull request: [SPARK-2960][Deploy] Support executing Spark f...
Github user jerryshao commented on a diff in the pull request:
https://github.com/apache/spark/pull/8669#discussion_r39120864
--- Diff: bin/beeline ---
@@ -23,8 +23,29 @@
# Enter posix mode for bash
set -o posix
+realpath () {
--- End diff --
Hi @srowen , yes the actual problem is to find to out where Spark is
installed through symlink.
Yes, sourcing can follow the symlink, but the problem is how to find the
path of sourcing file/symlink.
Say if we make `spark-shell` as a symlink and add to /usr/bin, when we
execute this `spark-shell` in any directory, how to identify the path of
sourcing file? If sourcing file is not linked to `/usr/bin/xx`, we still need
to find out where Spark is installed.
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[GitHub] spark pull request: [SPARK-10466][SQL] UnsafeRow SerDe exception w...
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[GitHub] spark pull request: [MINOR] [MLLIB] [ML] [DOC] Minor doc fixes for...
Github user holdenk commented on the pull request: https://github.com/apache/spark/pull/8679#issuecomment-139102759 I like the wording, much clearer :) --- 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 enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-10466][SQL] UnsafeRow SerDe exception w...
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[GitHub] spark pull request: [SPARK-10276][MLlib][PySpark] Add @since annot...
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[GitHub] spark pull request: [SPARK-10515] When killing executor, there is ...
Github user vanzin commented on the pull request: https://github.com/apache/spark/pull/8668#issuecomment-139101880 @KaiXinXiaoLei I'm not sure I follow you. It sounds like you may be describing a race condition somewhere, but it's not clear. Both the heartbeat receiver and the allocation manager will kill executors using the same API (`killExecutors`) but with different parameters. That method is synchronized so I don't see how there could be a race. The only thing I can potentially come up with is that if the heartbeat receiver kills executors (and then asks for new ones to replace them), the idle timeout for the old executors will be lost (the new executors will start with a new idle timer). That means those "x" executors will be alive for more time than maybe would be optimal, but I don't necessarily see that as a problem. --- 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 enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark pull request: [MINOR] [MLLIB] [ML] [DOC] Minor doc fixes for...
GitHub user jkbradley opened a pull request: https://github.com/apache/spark/pull/8679 [MINOR] [MLLIB] [ML] [DOC] Minor doc fixes for StringIndexer and MetadataUtils Changes: * Make Scala doc for StringIndexerInverse clearer. Also remove Scala doc from transformSchema, so that the doc is inherited. * MetadataUtils.scala: â Helper utilities for tree-based algorithmsâ â> not just trees anymore CC: @holdenk @mengxr You can merge this pull request into a Git repository by running: $ git pull https://github.com/jkbradley/spark doc-fixes-1.5 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/8679.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #8679 commit a633c22cc11f29c6c54899dd499318ed17068654 Author: Joseph K. Bradley Date: 2015-09-10T02:48:15Z StringIndexer doc fixes commit 316f60dea5b44e8aa83f1fd96c0ca00b73d821e5 Author: Joseph K. Bradley Date: 2015-09-10T02:52:34Z minor doc fix --- 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 enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-10275][MLlib] Add @since annotation to ...
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[GitHub] spark pull request: [CORE][SPARK-10527]: Minor enhancement to eval...
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[GitHub] spark pull request: [SPARK-10274][MLlib] Add @since annotation to ...
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/8665#issuecomment-139100371 [Test build #42230 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/42230/console) for PR 8665 at commit [`0e093f1`](https://github.com/apache/spark/commit/0e093f193e417479359c1f9f0afe6dd813f87c97). * This patch **passes all tests**. * This patch merges cleanly. * This patch adds no public classes. --- 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 enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: SPARK-10527: Minor enhancement to evalutate de...
GitHub user saucam opened a pull request: https://github.com/apache/spark/pull/8678 SPARK-10527: Minor enhancement to evalutate debugstring only when log level is debug in DAGScheduler You can merge this pull request into a Git repository by running: $ git pull https://github.com/saucam/spark slog Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/8678.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #8678 commit e4c4c10db44cbec79e190265fc0351731ff664ec Author: Yash Datta Date: 2015-09-10T02:14:25Z SPARK-10527: Minor enhancement to evalutate debugstring only when log level is debug in DAGScheduler --- 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 enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
