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Thanks! Merged to master and 1.3
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GitHub user staslos opened a pull request:
https://github.com/apache/spark/pull/4434
[SPARK-5657][Examples][PySpark] Add PySpark Avro Output Format example
There is an Avro Input Format example that shows how to read Avro data in
PySpark, but nothing shows how to write from PySpark
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Thanks! Merged to master and 1.3
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ok to test
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Github user nchammas commented on the pull request:
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Btw, did you mean 1.2.1?
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Github user marmbrus commented on the pull request:
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I don't think this is valid. You use backticks to escape cases where you
have invalid characters like `.` in your identifiers.
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Github user nchammas commented on the pull request:
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Thanks for the review @JoshRosen. I'll tag the JIRA issue for backport.
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Thanks! Merged to master.
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Github user harishreedharan commented on the pull request:
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Jenkins, test this please.
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Github user jkbradley commented on the pull request:
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Looks good, but not too familiar with this class
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Github user harishreedharan commented on the pull request:
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In this case, you are only running SparkSubmit as the proxy user. Should we
not have the executor code also run as the proxy user, so any writes from the
app to H
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Github user jkbradley commented on a diff in the pull request:
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--- Diff:
mllib/src/test/java/org/apache/spark/mllib/regression/JavaStreamingLinearRegressionSuite.java
---
@@ -0,0 +1,80 @@
+/*
+ * Licensed to th
Github user JoshRosen commented on the pull request:
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LGTM pending Jenkins; thanks!
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Thanks! Merged to master and 1.3
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Thanks! Merged to master and 1.3
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Github user JoshRosen commented on the pull request:
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Actually, I'm going to hold off on the `branch-1.2` (1.2.2) commit for now,
since there's a bit of divergence in that branch and I don't want to break
anything.
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Github user JoshRosen commented on the pull request:
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LGTM. I'm going to pull this into `master` (1.4.0) and `branch-1.3`
(1.3.0). I'll also commit it to `branch-1.2` (1.2.2), but for that I'll update
the version number
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Github user mingyukim commented on the pull request:
https://github.com/apache/spark/pull/4420#issuecomment-73303667
Can you elaborate on the "memory size as an additional heuristic" idea?
This is consistently causing OOMs in one of our workflows, which is exactly
what spilling to dis
Github user koeninger commented on a diff in the pull request:
https://github.com/apache/spark/pull/4384#discussion_r24268035
--- Diff:
external/kafka/src/main/scala/org/apache/spark/streaming/kafka/KafkaUtils.scala
---
@@ -179,121 +182,190 @@ object KafkaUtils {
errs =
Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/4384#discussion_r24268021
--- Diff:
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---
@@ -19,16 +19,35 @@ package org.apache.spark.streaming.kafka
Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/4311#issuecomment-73303308
In this particular case we might actually need separate PRs for 1.2 and the
Master because the event logs are produced differently there. I wonder if this
also applies
Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/4067#issuecomment-73303194
Jenkins, test this please. This LGTM pending tests.
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Github user andrewor14 commented on a diff in the pull request:
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--- Diff:
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@@ -88,6 +88,10 @@ private[spark] class ApplicationMaster(ar
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Github user asfgit closed the pull request at:
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Github user andrewor14 commented on the pull request:
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ok to test
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Github user jkbradley commented on the pull request:
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I'll do my best to look at it today---I hope!
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Github user JoshRosen commented on the pull request:
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Jenkins, this is ok to test.
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Github user jkbradley commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -136,3 +147,69 @@ class MatrixFactorizationModel
Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/4412#discussion_r24267365
--- Diff: core/src/main/scala/org/apache/spark/SparkEnv.scala ---
@@ -93,6 +93,14 @@ class SparkEnv (
// actorSystem.awaitTermination()
Github user cenyuhai commented on a diff in the pull request:
https://github.com/apache/spark/pull/4398#discussion_r24267316
--- Diff:
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@@ -53,7 +53,7 @@ object BindReferences extends Log
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Github user andrewor14 commented on a diff in the pull request:
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--- Diff: docs/running-on-yarn.md ---
@@ -105,6 +105,13 @@ Most of the configs are the same for Spark on YARN as
for other deployment modes
Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/4350#discussion_r24267242
--- Diff: docs/running-on-yarn.md ---
@@ -105,6 +105,13 @@ Most of the configs are the same for Spark on YARN as
for other deployment modes
Github user haoyuan commented on the pull request:
https://github.com/apache/spark/pull/4418#issuecomment-73301858
Thanks @viper-kun
Agree w/ @JoshRosen
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Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/899#issuecomment-73301694
Hey @zeodtr I believe this is fixed in #3924 would you mind closing this PR?
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Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/4418#issuecomment-73301472
I think we should create a JIRA for this, if only to help us keep track of
where this change is committed.
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Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/4392#issuecomment-73301321
Hey @kasjain can you open this against the master branch next time? It will
be easier for us to back port stuff from there
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Github user andrewor14 commented on the pull request:
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yes, the tests are still not passing I believe, test this please
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Github user asfgit closed the pull request at:
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Github user cenyuhai commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/types/dataTypes.scala ---
@@ -36,6 +36,8 @@ import org.apache.spark.util.Utils
ob
Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/4188#issuecomment-73300317
To fix the YARN issue maybe we should do something specific there, like
escaping the double quotes before passing them to YARN?
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Github user MechCoder commented on the pull request:
https://github.com/apache/spark/pull/4231#issuecomment-73300352
ping @jkbradley ?
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Github user srowen commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -136,3 +147,69 @@ class MatrixFactorizationModel(
Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/4188#issuecomment-73299916
Hey @srowen it seems like this will break existing behavior though. What if
I want to run an application with the following arguments
```
a "b c" d
```
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -1283,6 +1291,7 @@ private[spark] object Utils extends Logging {
if (inWord || i
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -1283,6 +1291,7 @@ private[spark] object Utils extends Logging {
if (inWord
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https://github.com/apache/spark/pull/4384#discussion_r24265028
--- Diff:
external/kafka/src/main/scala/org/apache/spark/streaming/kafka/KafkaRDD.scala
---
@@ -36,14 +36,12 @@ import kafka.utils.VerifiableProperties
*
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https://github.com/apache/spark/pull/3225#discussion_r24264861
--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -630,7 +634,10 @@ class SparkContext(config: SparkConf) extends
SparkStatusAPI wit
Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/3225#issuecomment-73296838
I think it's safe to say that we won't implement the alternative behavior
that @JoshRosen suggested by the release. For this reason I think we should at
least document
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/4429
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/4433#issuecomment-73296645
ok to test
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enabl
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/4429#issuecomment-73296580
Merged into master and branch-1.3. Thanks!
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Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3225#discussion_r24264456
--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -242,7 +242,11 @@ class SparkContext(config: SparkConf) extends
SparkStatusAPI wit
Github user nchammas commented on the pull request:
https://github.com/apache/spark/pull/4385#issuecomment-73295741
@florianverhein This is looking good. Have you tested this against a fork
named `spark-ec2` as well as a fork named something else?
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/4433#issuecomment-73295691
Can one of the admins verify this patch?
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4397#issuecomment-73295760
[Test build #26928 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/26928/consoleFull)
for PR 4397 at commit
[`f819b6c`](https://githu
Github user nchammas commented on a diff in the pull request:
https://github.com/apache/spark/pull/4385#discussion_r24264051
--- Diff: ec2/spark_ec2.py ---
@@ -1007,6 +1023,11 @@ def real_main():
print >> stderr, "ebs-vol-num cannot be greater than 8"
sys.e
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/4334
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Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/4397#issuecomment-73295369
ok to test @liancheng
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GitHub user mbittmann opened a pull request:
https://github.com/apache/spark/pull/4433
[SPARK-5656] Fail gracefully for large values of k and/or n that will ex...
...ceed max int.
Large values of k and/or n in EigenValueDecomposition.symmetricEigs will
result in array initi
Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/4334#issuecomment-73295273
I'm merging this into `master` (1.4.0) and `branch-1.3` (1.3.0).
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