[GitHub] spark issue #16760: [SPARK-18872][SQL][TESTS] New test cases for EXISTS subq...

2017-02-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/16760
  
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[GitHub] spark issue #16760: [SPARK-18872][SQL][TESTS] New test cases for EXISTS subq...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16760
  
**[Test build #72602 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72602/testReport)**
 for PR 16760 at commit 
[`2473e0c`](https://github.com/apache/spark/commit/2473e0c440a9d1cd761ae6d704d0aa02c63afd83).
 * This patch **fails to build**.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #16760: [SPARK-18872][SQL][TESTS] New test cases for EXISTS subq...

2017-02-08 Thread AmplabJenkins
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https://github.com/apache/spark/pull/16760
  
Merged build finished. Test FAILed.


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[GitHub] spark issue #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use hadoop...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16858
  
**[Test build #72597 has 
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[`03f9bfd`](https://github.com/apache/spark/commit/03f9bfd985a5a272d99258971fd83e4613e9b0fd).
 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #16760: [SPARK-18872][SQL][TESTS] New test cases for EXISTS subq...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16760
  
**[Test build #72602 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72602/testReport)**
 for PR 16760 at commit 
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[GitHub] spark issue #16760: [SPARK-18872][SQL][TESTS] New test cases for EXISTS subq...

2017-02-08 Thread dilipbiswal
Github user dilipbiswal commented on the issue:

https://github.com/apache/spark/pull/16760
  
retest this please


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[GitHub] spark pull request #16844: [SPARK-19500] [SQL] Fix off-by-one bug in BytesTo...

2017-02-08 Thread mridulm
Github user mridulm commented on a diff in the pull request:

https://github.com/apache/spark/pull/16844#discussion_r100170698
  
--- Diff: 
core/src/main/java/org/apache/spark/unsafe/map/BytesToBytesMap.java ---
@@ -695,11 +690,16 @@ public boolean append(Object kbase, long koff, int 
klen, Object vbase, long voff
   assert (vlen % 8 == 0);
   assert (longArray != null);
 
-  if (numKeys == MAX_CAPACITY
-// The map could be reused from last spill (because of no enough 
memory to grow),
-// then we don't try to grow again if hit the `growthThreshold`.
-|| !canGrowArray && numKeys > growthThreshold) {
-return false;
+  if (numKeys >= growthThreshold) {
+if (longArray.size() / 2 == MAX_CAPACITY) {
--- End diff --

This does not look correct as per documentation of MAX_CAPACITY.
Actual number of keys == MAX_CAPACITY (so that total number of entries in 
longArray is MAX_CAPACITY * 2)


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[GitHub] spark pull request #16844: [SPARK-19500] [SQL] Fix off-by-one bug in BytesTo...

2017-02-08 Thread mridulm
Github user mridulm commented on a diff in the pull request:

https://github.com/apache/spark/pull/16844#discussion_r100170278
  
--- Diff: 
core/src/main/java/org/apache/spark/unsafe/map/BytesToBytesMap.java ---
@@ -695,11 +690,16 @@ public boolean append(Object kbase, long koff, int 
klen, Object vbase, long voff
   assert (vlen % 8 == 0);
   assert (longArray != null);
 
-  if (numKeys == MAX_CAPACITY
-// The map could be reused from last spill (because of no enough 
memory to grow),
-// then we don't try to grow again if hit the `growthThreshold`.
-|| !canGrowArray && numKeys > growthThreshold) {
-return false;
+  if (numKeys >= growthThreshold) {
+if (longArray.size() / 2 == MAX_CAPACITY) {
+  // Should not grow beyond the max capacity
+  return false;
+}
+try {
+  growAndRehash();
+} catch (OutOfMemoryError oom) {
+  return false;
--- End diff --

Unrelated, but this OutOfMemoryError will not be useful - atleast not in 
yarn mode.
It will simply cause the jvm to exit.


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[GitHub] spark issue #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use hadoop...

2017-02-08 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue:

https://github.com/apache/spark/pull/16858
  
Oh, wait a moment. The Jenkins on last commit will succeed soon.


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[GitHub] spark issue #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use hadoop...

2017-02-08 Thread srowen
Github user srowen commented on the issue:

https://github.com/apache/spark/pull/16858
  
OK merging this as it's a fix for the build


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[GitHub] spark issue #16386: [SPARK-18352][SQL] Support parsing multiline json files

2017-02-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/16386
  
Merged build finished. Test FAILed.


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[GitHub] spark issue #16386: [SPARK-18352][SQL] Support parsing multiline json files

2017-02-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/16386
  
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[GitHub] spark issue #16386: [SPARK-18352][SQL] Support parsing multiline json files

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16386
  
**[Test build #72601 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72601/testReport)**
 for PR 16386 at commit 
[`6f8b0c3`](https://github.com/apache/spark/commit/6f8b0c3249729aeecc5cf1275e29afe535cc7238).
 * This patch **fails to build**.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #16857: [SPARK-19517][SS] KafkaSource fails to initialize partit...

2017-02-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/16857
  
Merged build finished. Test FAILed.


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[GitHub] spark issue #16857: [SPARK-19517][SS] KafkaSource fails to initialize partit...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16857
  
**[Test build #72600 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72600/testReport)**
 for PR 16857 at commit 
[`b2523b9`](https://github.com/apache/spark/commit/b2523b920de2329878a37f7efc1e9dda5d969b79).
 * This patch **fails to build**.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #16857: [SPARK-19517][SS] KafkaSource fails to initialize partit...

2017-02-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/16857
  
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[GitHub] spark issue #16386: [SPARK-18352][SQL] Support parsing multiline json files

2017-02-08 Thread NathanHowell
Github user NathanHowell commented on the issue:

https://github.com/apache/spark/pull/16386
  
I rebased to master and hopefully addressed all of your comments 
@cloud-fan, please have another look.


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[GitHub] spark issue #16386: [SPARK-18352][SQL] Support parsing multiline json files

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16386
  
**[Test build #72601 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72601/testReport)**
 for PR 16386 at commit 
[`6f8b0c3`](https://github.com/apache/spark/commit/6f8b0c3249729aeecc5cf1275e29afe535cc7238).


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[GitHub] spark issue #16857: [SPARK-19517][SS] KafkaSource fails to initialize partit...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16857
  
**[Test build #72600 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72600/testReport)**
 for PR 16857 at commit 
[`b2523b9`](https://github.com/apache/spark/commit/b2523b920de2329878a37f7efc1e9dda5d969b79).


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[GitHub] spark issue #16857: [SPARK-19517][SS] KafkaSource fails to initialize partit...

2017-02-08 Thread zsxwing
Github user zsxwing commented on the issue:

https://github.com/apache/spark/pull/16857
  
ok to test


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[GitHub] spark issue #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use hadoop...

2017-02-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/16858
  
Merged build finished. Test PASSed.


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[GitHub] spark issue #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use hadoop...

2017-02-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/16858
  
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[GitHub] spark issue #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use hadoop...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16858
  
**[Test build #72595 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72595/testReport)**
 for PR 16858 at commit 
[`b8625a2`](https://github.com/apache/spark/commit/b8625a2b9e95c9c818c8f781d1ed839d24e617eb).
 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use hadoop...

2017-02-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/16858
  
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[GitHub] spark issue #16859: [SPARK-17714][Core][maven][test-hadoop2.6]Avoid using Ex...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16859
  
**[Test build #72599 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72599/testReport)**
 for PR 16859 at commit 
[`1c88474`](https://github.com/apache/spark/commit/1c8847494c29d4b51182ecfeebb5cc85e000e7a1).


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[GitHub] spark issue #16795: [SPARK-19409][BUILD][test-maven] Fix ParquetAvroCompatib...

2017-02-08 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue:

https://github.com/apache/spark/pull/16795
  
Oh, indeed. Thank you for informing that, too!


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[GitHub] spark issue #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use hadoop...

2017-02-08 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue:

https://github.com/apache/spark/pull/16858
  
The only failure is irrelevant to this PR, ad also the very next Jenkins 
pass the test.
```
[info] KafkaSourceSuite:
...
[info] - subscribing topic by pattern with topic deletions *** FAILED *** 
(1 minute, 2 seconds)
[info]   Timed out waiting for stream: The code passed to failAfter did not 
complete within 30 seconds.
```


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[GitHub] spark issue #16859: [SPARK-17714][Core][maven][test-hadoop2.6]Avoid using Ex...

2017-02-08 Thread zsxwing
Github user zsxwing commented on the issue:

https://github.com/apache/spark/pull/16859
  
retest this please


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[GitHub] spark issue #16795: [SPARK-19409][BUILD][test-maven] Fix ParquetAvroCompatib...

2017-02-08 Thread zsxwing
Github user zsxwing commented on the issue:

https://github.com/apache/spark/pull/16795
  
FYI, I'm fixing OOM in #16825


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[GitHub] spark issue #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use hadoop...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16858
  
**[Test build #3567 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/NewSparkPullRequestBuilder/3567/testReport)**
 for PR 16858 at commit 
[`03f9bfd`](https://github.com/apache/spark/commit/03f9bfd985a5a272d99258971fd83e4613e9b0fd).


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[GitHub] spark issue #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use hadoop...

2017-02-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/16858
  
Merged build finished. Test FAILed.


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[GitHub] spark issue #12004: [SPARK-7481] [build] Add spark-cloud module to pull in o...

2017-02-08 Thread srowen
Github user srowen commented on the issue:

https://github.com/apache/spark/pull/12004
  
I still don't think this answered my last questions? yes, I understand all 
this back story. That's why this is taking such a large amount of everyone's 
time. The purpose and discussion and commits keep shifting significantly so I 
have to re-read this from the start every time to see what it's done this time. 
I still only partly perceive the problem and why it takes this much to solve it.


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[GitHub] spark issue #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use hadoop...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16858
  
**[Test build #72596 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72596/testReport)**
 for PR 16858 at commit 
[`e9d720e`](https://github.com/apache/spark/commit/e9d720e9585cf7e9c1e9cf1e633edc84f06196ae).
 * This patch **fails Spark unit tests**.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #12004: [SPARK-7481] [build] Add spark-cloud module to pull in o...

2017-02-08 Thread steveloughran
Github user steveloughran commented on the issue:

https://github.com/apache/spark/pull/12004
  
Still waiting reviews for this. Anyone? Ideally before my forthcoming Spark 
Summit talk...


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[GitHub] spark issue #16795: [SPARK-19409][BUILD][test-maven] Fix ParquetAvroCompatib...

2017-02-08 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue:

https://github.com/apache/spark/pull/16795
  
Oh, sorry! I misread your comment, `doubt`.
For the ReplSuite, #16859 looks related.


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[GitHub] spark issue #16859: [SPARK-17714][Core][maven]Avoid using ExecutorClassLoade...

2017-02-08 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue:

https://github.com/apache/spark/pull/16859
  
Hi, @zsxwing .
Currently, SparkPullRequestBuilder is broken and HOTFIX is #16858 .


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[GitHub] spark issue #16795: [SPARK-19409][BUILD][test-maven] Fix ParquetAvroCompatib...

2017-02-08 Thread vanzin
Github user vanzin commented on the issue:

https://github.com/apache/spark/pull/16795
  
Are you asking me? I meant Spark 2.1. Those test errors are not new, that's 
what I'm saying.


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[GitHub] spark issue #16859: [SPARK-17714][Core][maven]Avoid using ExecutorClassLoade...

2017-02-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/16859
  
Test FAILed.
Refer to this link for build results (access rights to CI server needed): 
https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/72598/
Test FAILed.


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[GitHub] spark issue #16859: [SPARK-17714][Core][maven]Avoid using ExecutorClassLoade...

2017-02-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/16859
  
Merged build finished. Test FAILed.


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[GitHub] spark issue #16859: [SPARK-17714][Core][maven]Avoid using ExecutorClassLoade...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16859
  
**[Test build #72598 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72598/testReport)**
 for PR 16859 at commit 
[`1c88474`](https://github.com/apache/spark/commit/1c8847494c29d4b51182ecfeebb5cc85e000e7a1).
 * This patch **fails to build**.
 * This patch merges cleanly.
 * This patch adds the following public classes _(experimental)_:
  * `public class TransportChannelHandler extends 
ChannelInboundHandlerAdapter `


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[GitHub] spark issue #16795: [SPARK-19409][BUILD][test-maven] Fix ParquetAvroCompatib...

2017-02-08 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue:

https://github.com/apache/spark/pull/16795
  
You mean `avro` or prior `parquet`?


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[GitHub] spark issue #16795: [SPARK-19409][BUILD][test-maven] Fix ParquetAvroCompatib...

2017-02-08 Thread vanzin
Github user vanzin commented on the issue:

https://github.com/apache/spark/pull/16795
  
> So far, ReplSuite failures are observed. One is OOM...

I ran into those issues while testing the 2.1 RCs, so I doubt it's caused 
by your change.


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[GitHub] spark issue #16859: [SPARK-17714][Core][maven]Avoid using ExecutorClassLoade...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16859
  
**[Test build #72598 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72598/testReport)**
 for PR 16859 at commit 
[`1c88474`](https://github.com/apache/spark/commit/1c8847494c29d4b51182ecfeebb5cc85e000e7a1).


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[GitHub] spark issue #16795: [SPARK-19409][BUILD][test-maven] Fix ParquetAvroCompatib...

2017-02-08 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue:

https://github.com/apache/spark/pull/16795
  
So far, **ReplSuite** failures are observed. One is OOM and the other is 
the other is ClosureCleaner. Both happens after the testcase, `define case 
class and create Dataset together with paste mode`. It seems there is some 
flakiness on that suite. I'll take a closer look for that suite.

hadoop-2.7
```
ReplSuite:
...
- define case class and create Dataset together with paste mode
Spark context available as 'sc' (master = local-cluster[1,4,4096], app id = 
app-20170208112317-).
Spark session available as 'spark'.
Exception in thread "ExecutorRunner for app-20170208112317-/94" 
java.lang.OutOfMemoryError: Java heap space
```

hadoop-2.6 
```
ReplSuite:
...
- define case class and create Dataset together with paste mode
Spark context available as 'sc' (master = local-cluster[1,4,4096], app id = 
app-20170208112342-).
Spark session available as 'spark'.
- should clone and clean line object in ClosureCleaner *** FAILED ***
  isContain was true Interpreter output contained 'Exception':
```  


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[GitHub] spark pull request #16859: [SPARK-17714][Core][maven]Avoid using ExecutorCla...

2017-02-08 Thread zsxwing
Github user zsxwing commented on a diff in the pull request:

https://github.com/apache/spark/pull/16859#discussion_r100159293
  
--- Diff: 
common/network-common/src/main/java/org/apache/spark/network/server/TransportChannelHandler.java
 ---
@@ -48,7 +47,7 @@
  * on the channel for at least `requestTimeoutMs`. Note that this is 
duplex traffic; we will not
  * timeout if the client is continuously sending but getting no responses, 
for simplicity.
  */
-public class TransportChannelHandler extends 
SimpleChannelInboundHandler {
+public class TransportChannelHandler extends ChannelInboundHandlerAdapter {
--- End diff --

SimpleChannelInboundHandler also uses Javassist to generate a matcher 
class. Since `SimpleChannelInboundHandler` provides little value for us, I just 
changed to extend `ChannelInboundHandlerAdapter` directly.


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[GitHub] spark pull request #16859: [SPARK-17714][Core][maven]Avoid using ExecutorCla...

2017-02-08 Thread zsxwing
Github user zsxwing commented on a diff in the pull request:

https://github.com/apache/spark/pull/16859#discussion_r100159049
  
--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -2599,14 +2599,10 @@ private[spark] object Utils extends Logging {
 
 private[util] object CallerContext extends Logging {
   val callerContextSupported: Boolean = {
-SparkHadoopUtil.get.conf.getBoolean("hadoop.caller.context.enabled", 
false) && {
+SparkHadoopUtil.get.conf.getBoolean("hadoop.caller.context.enabled", 
true) && {
--- End diff --

I will change default value to `false` later. Just to test if this PR fixes 
the issue on Jenkins.


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[GitHub] spark pull request #16859: [SPARK-17714][Core][maven]Avoid using ExecutorCla...

2017-02-08 Thread zsxwing
GitHub user zsxwing opened a pull request:

https://github.com/apache/spark/pull/16859

[SPARK-17714][Core][maven]Avoid using ExecutorClassLoader to load Netty 
generated classes

## What changes were proposed in this pull request?

Netty's `MessageToMessageEncoder` uses Javassist to generate a matcher 
class and the implementation calls `Class.forName` to check if this calls is 
already generated. If `MessageEncoder` or `MessageDecoder` is created in 
`ExecutorClassLoader.findClass`, it will cause `ClassCircularityError`. This is 
because loading this Netty generated class will call 
`ExecutorClassLoader.findClass` to search this class, and `ExecutorClassLoader` 
will try to use RPC to load it and cause to load the non-exist matcher class 
again. JVM will report `ClassCircularityError` to prevent such infinite 
recursion.

# Why it only happens in Maven builds 

It's because the Maven build will set a URLClassLoader as the current 
context class loader to run the tests and expose this issue. The class loader 
tree is as following:

```
bootstrap class loader -- ... - REPL class loader  
ExecutorClassLoader
|
|
URLClasssLoader
```

The SBT build uses the bootstrap class loader directly and 
`ReplSuite.test("propagation of local properties")` is the first test in 
ReplSuite, which happens to load 
`io/netty/util/internal/__matchers__/org/apache/spark/network/protocol/MessageMatcher`
 into the bootstrap class loader. This issue can be reproduced in SBT as well. 
Here are the produce steps:
- Enable `hadoop.caller.context.enabled`.
- Replace `Class.forName` with `Utils.classForName` in `object 
CallerContext`.
- Ignore `ReplSuite.test("propagation of local properties")`.
- Run `ReplSuite`.

This PR just creates a singleton MessageEncoder and MessageDecoder and 
makes sure they can be created before switching to ExecutorClassLoader. 
TransportContext will be created when creating RpcEnv and that happens before 
creating ExecutorClassLoader.

## How was this patch tested?

Jenkins


You can merge this pull request into a Git repository by running:

$ git pull https://github.com/zsxwing/spark SPARK-17714

Alternatively you can review and apply these changes as the patch at:

https://github.com/apache/spark/pull/16859.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 #16859


commit 1c8847494c29d4b51182ecfeebb5cc85e000e7a1
Author: Shixiong Zhu 
Date:   2017-02-07T22:30:42Z

Avoid using ExecutorClassLoader to load Netty generated classes




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[GitHub] spark issue #16850: [SPARK-19413][SS] MapGroupsWithState for arbitrary state...

2017-02-08 Thread zsxwing
Github user zsxwing commented on the issue:

https://github.com/apache/spark/pull/16850
  
Merged. Could you close this PR, please?


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[GitHub] spark issue #16850: [SPARK-19413][SS] MapGroupsWithState for arbitrary state...

2017-02-08 Thread zsxwing
Github user zsxwing commented on the issue:

https://github.com/apache/spark/pull/16850
  
LGTM. Merging to 2.1.


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[GitHub] spark pull request #16740: [SPARK-19400][ML] Allow GLM to handle intercept o...

2017-02-08 Thread asfgit
Github user asfgit closed the pull request at:

https://github.com/apache/spark/pull/16740


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[GitHub] spark issue #16495: SPARK-16920: Add a stress test for evaluateEachIteration...

2017-02-08 Thread jkbradley
Github user jkbradley commented on the issue:

https://github.com/apache/spark/pull/16495
  
Thanks @mhmoudr
As far as the stress test, I'd recommend posting instructions as a Github 
gist and linking it to wherever you post results on JIRA or a PR.  We wouldn't 
want to add a model (a binary file) to git unless absolutely necessary.

When we address the complexity issue, we can post stress test results and 
the link to the gist.


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[GitHub] spark pull request #16776: [SPARK-19436][SQL] Add missing tests for approxQu...

2017-02-08 Thread jkbradley
Github user jkbradley commented on a diff in the pull request:

https://github.com/apache/spark/pull/16776#discussion_r100138230
  
--- Diff: 
sql/core/src/main/scala/org/apache/spark/sql/DataFrameStatFunctions.scala ---
@@ -63,44 +63,49 @@ final class DataFrameStatFunctions private[sql](df: 
DataFrame) {
*   Note that values greater than 1 are accepted but give the same 
result as 1.
* @return the approximate quantiles at the given probabilities
*
-   * @note NaN values will be removed from the numerical column before 
calculation
+   * @note null and NaN values will be removed from the numerical column 
before calculation
*
* @since 2.0.0
*/
   def approxQuantile(
   col: String,
   probabilities: Array[Double],
   relativeError: Double): Array[Double] = {
-StatFunctions.multipleApproxQuantiles(df.select(col).na.drop(),
-  Seq(col), probabilities, relativeError).head.toArray
+val res = approxQuantile(Array(col), probabilities, relativeError)
+if (res != null) {
+  res.head
+} else {
+  null
+}
   }
 
   /**
* Calculates the approximate quantiles of numerical columns of a 
DataFrame.
-   * @see [[DataFrameStatsFunctions.approxQuantile(col:Str* 
approxQuantile]] for
-   * detailed description.
+   * @see `DataFrameStatsFunctions.approxQuantile` for detailed 
description.
*
-   * Note that rows containing any null or NaN values values will be 
removed before
-   * calculation.
* @param cols the names of the numerical columns
* @param probabilities a list of quantile probabilities
*   Each number must belong to [0, 1].
*   For example 0 is the minimum, 0.5 is the median, 1 is the maximum.
-   * @param relativeError The relative target precision to achieve (>= 0).
+   * @param relativeError The relative target precision to achieve 
(greater or equal to 0).
--- End diff --

"greater" -> "greater than"


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[GitHub] spark pull request #16776: [SPARK-19436][SQL] Add missing tests for approxQu...

2017-02-08 Thread jkbradley
Github user jkbradley commented on a diff in the pull request:

https://github.com/apache/spark/pull/16776#discussion_r100138241
  
--- Diff: 
sql/core/src/main/scala/org/apache/spark/sql/DataFrameStatFunctions.scala ---
@@ -63,44 +63,49 @@ final class DataFrameStatFunctions private[sql](df: 
DataFrame) {
*   Note that values greater than 1 are accepted but give the same 
result as 1.
* @return the approximate quantiles at the given probabilities
*
-   * @note NaN values will be removed from the numerical column before 
calculation
+   * @note null and NaN values will be removed from the numerical column 
before calculation
*
* @since 2.0.0
*/
   def approxQuantile(
   col: String,
   probabilities: Array[Double],
   relativeError: Double): Array[Double] = {
-StatFunctions.multipleApproxQuantiles(df.select(col).na.drop(),
-  Seq(col), probabilities, relativeError).head.toArray
+val res = approxQuantile(Array(col), probabilities, relativeError)
+if (res != null) {
+  res.head
+} else {
+  null
--- End diff --

The Scaladoc should describe this case


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[GitHub] spark pull request #16776: [SPARK-19436][SQL] Add missing tests for approxQu...

2017-02-08 Thread jkbradley
Github user jkbradley commented on a diff in the pull request:

https://github.com/apache/spark/pull/16776#discussion_r100138206
  
--- Diff: 
sql/core/src/main/scala/org/apache/spark/sql/DataFrameStatFunctions.scala ---
@@ -63,44 +63,49 @@ final class DataFrameStatFunctions private[sql](df: 
DataFrame) {
*   Note that values greater than 1 are accepted but give the same 
result as 1.
* @return the approximate quantiles at the given probabilities
*
-   * @note NaN values will be removed from the numerical column before 
calculation
+   * @note null and NaN values will be removed from the numerical column 
before calculation
*
* @since 2.0.0
*/
   def approxQuantile(
   col: String,
   probabilities: Array[Double],
   relativeError: Double): Array[Double] = {
-StatFunctions.multipleApproxQuantiles(df.select(col).na.drop(),
-  Seq(col), probabilities, relativeError).head.toArray
+val res = approxQuantile(Array(col), probabilities, relativeError)
+if (res != null) {
+  res.head
+} else {
+  null
+}
   }
 
   /**
* Calculates the approximate quantiles of numerical columns of a 
DataFrame.
-   * @see [[DataFrameStatsFunctions.approxQuantile(col:Str* 
approxQuantile]] for
-   * detailed description.
+   * @see `DataFrameStatsFunctions.approxQuantile` for detailed 
description.
*
-   * Note that rows containing any null or NaN values values will be 
removed before
-   * calculation.
* @param cols the names of the numerical columns
* @param probabilities a list of quantile probabilities
*   Each number must belong to [0, 1].
*   For example 0 is the minimum, 0.5 is the median, 1 is the maximum.
-   * @param relativeError The relative target precision to achieve (>= 0).
+   * @param relativeError The relative target precision to achieve 
(greater or equal to 0).
*   If set to zero, the exact quantiles are computed, which could be 
very expensive.
*   Note that values greater than 1 are accepted but give the same 
result as 1.
* @return the approximate quantiles at the given probabilities of each 
column
*
-   * @note Rows containing any NaN values will be removed before 
calculation
+   * @note Rows containing any null or NaN values will be removed before 
calculation
*
* @since 2.2.0
*/
   def approxQuantile(
   cols: Array[String],
   probabilities: Array[Double],
   relativeError: Double): Array[Array[Double]] = {
-StatFunctions.multipleApproxQuantiles(df.select(cols.map(col): 
_*).na.drop(), cols,
-  probabilities, relativeError).map(_.toArray).toArray
+try {
+  StatFunctions.multipleApproxQuantiles(df.select(cols.map(col): 
_*).na.drop(), cols,
--- End diff --

Great catch!  I vote for modifying multipleApproxQuantiles to handle null 
and NaN values. As far as reverting, I'm OK either way as long as we get the 
fix into 2.2.  I'd actually recommend going ahead and merging this PR and 
creating a follow-up Critical Bug targeted at 2.2.

@MLnick I think dropping NAs from the cols passed as args still will not 
work.  Say the user passes cols "a" and "b" as args, but some rows have (a = 
NaN, b = 1.0).  Then those rows will be ignored.


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[GitHub] spark issue #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use hadoop...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16858
  
**[Test build #72597 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72597/testReport)**
 for PR 16858 at commit 
[`03f9bfd`](https://github.com/apache/spark/commit/03f9bfd985a5a272d99258971fd83e4613e9b0fd).


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[GitHub] spark issue #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use hadoop...

2017-02-08 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue:

https://github.com/apache/spark/pull/16858
  
Thank you for review, @srowen . Also, since it touches R now, cc 
@felixcheung .


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[GitHub] spark issue #16740: [SPARK-19400][ML] Allow GLM to handle intercept only mod...

2017-02-08 Thread jkbradley
Github user jkbradley commented on the issue:

https://github.com/apache/spark/pull/16740
  
LGTM
Merging with master
Thank you + @sethah for reviewing!


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[GitHub] spark issue #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use hadoop...

2017-02-08 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue:

https://github.com/apache/spark/pull/16858
  
I removed those lines, too.


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[GitHub] spark pull request #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use...

2017-02-08 Thread dongjoon-hyun
Github user dongjoon-hyun commented on a diff in the pull request:

https://github.com/apache/spark/pull/16858#discussion_r100137039
  
--- Diff: R/pkg/inst/tests/testthat/test_utils.R ---
@@ -232,9 +232,9 @@ test_that("basenameSansExtFromUrl", {
   x <- 
paste0("http://people.apache.org/~pwendell/spark-nightly/spark-branch-2.1-bin/spark-2.1.1-";,
   
"SNAPSHOT-2016_12_09_11_08-eb2d9bf-bin/spark-2.1.1-SNAPSHOT-bin-hadoop2.7.tgz")
   y <- 
paste0("http://people.apache.org/~pwendell/spark-releases/spark-2.1.0-rc2-bin/spark-2.1.0-";,
-  "bin-hadoop2.4-without-hive.tgz")
+  "bin-hadoop2.6-without-hive.tgz")
--- End diff --

Oh, I see.


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[GitHub] spark pull request #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use...

2017-02-08 Thread srowen
Github user srowen commented on a diff in the pull request:

https://github.com/apache/spark/pull/16858#discussion_r100136174
  
--- Diff: R/pkg/inst/tests/testthat/test_utils.R ---
@@ -232,9 +232,9 @@ test_that("basenameSansExtFromUrl", {
   x <- 
paste0("http://people.apache.org/~pwendell/spark-nightly/spark-branch-2.1-bin/spark-2.1.1-";,
   
"SNAPSHOT-2016_12_09_11_08-eb2d9bf-bin/spark-2.1.1-SNAPSHOT-bin-hadoop2.7.tgz")
   y <- 
paste0("http://people.apache.org/~pwendell/spark-releases/spark-2.1.0-rc2-bin/spark-2.1.0-";,
-  "bin-hadoop2.4-without-hive.tgz")
+  "bin-hadoop2.6-without-hive.tgz")
--- End diff --

Actually there is no such artifact anymore. Just remove this line and the 
one below that also referenced it


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[GitHub] spark issue #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use hadoop...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16858
  
**[Test build #72596 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72596/testReport)**
 for PR 16858 at commit 
[`e9d720e`](https://github.com/apache/spark/commit/e9d720e9585cf7e9c1e9cf1e633edc84f06196ae).


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[GitHub] spark issue #16844: [SPARK-19500] [SQL] Fix off-by-one bug in BytesToBytesMa...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16844
  
**[Test build #3566 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/NewSparkPullRequestBuilder/3566/testReport)**
 for PR 16844 at commit 
[`d9aa208`](https://github.com/apache/spark/commit/d9aa2081c514577399ba77cfe2145a00ed477ef8).
 * This patch **fails to build**.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark pull request #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use...

2017-02-08 Thread dongjoon-hyun
Github user dongjoon-hyun commented on a diff in the pull request:

https://github.com/apache/spark/pull/16858#discussion_r100135299
  
--- Diff: dev/run-tests-jenkins.py ---
@@ -165,12 +165,6 @@ def main():
 if "test-maven" in ghprb_pull_title:
 os.environ["AMPLAB_JENKINS_BUILD_TOOL"] = "maven"
 # Switch the Hadoop profile based on the PR title:
--- End diff --

I fixed that too.


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[GitHub] spark issue #16844: [SPARK-19500] [SQL] Fix off-by-one bug in BytesToBytesMa...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16844
  
**[Test build #3566 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/NewSparkPullRequestBuilder/3566/testReport)**
 for PR 16844 at commit 
[`d9aa208`](https://github.com/apache/spark/commit/d9aa2081c514577399ba77cfe2145a00ed477ef8).


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[GitHub] spark pull request #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use...

2017-02-08 Thread dongjoon-hyun
Github user dongjoon-hyun commented on a diff in the pull request:

https://github.com/apache/spark/pull/16858#discussion_r100134776
  
--- Diff: dev/run-tests-jenkins.py ---
@@ -165,12 +165,6 @@ def main():
 if "test-maven" in ghprb_pull_title:
 os.environ["AMPLAB_JENKINS_BUILD_TOOL"] = "maven"
 # Switch the Hadoop profile based on the PR title:
--- End diff --

Sure!


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[GitHub] spark pull request #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use...

2017-02-08 Thread dongjoon-hyun
Github user dongjoon-hyun commented on a diff in the pull request:

https://github.com/apache/spark/pull/16858#discussion_r100134410
  
--- Diff: dev/run-tests.py ---
@@ -505,14 +505,14 @@ def main():
 # if we're on the Amplab Jenkins build servers setup variables
 # to reflect the environment settings
 build_tool = os.environ.get("AMPLAB_JENKINS_BUILD_TOOL", "sbt")
-hadoop_version = os.environ.get("AMPLAB_JENKINS_BUILD_PROFILE", 
"hadoop2.3")
+hadoop_version = os.environ.get("AMPLAB_JENKINS_BUILD_PROFILE", 
"hadoop2.6")
 test_env = "amplab_jenkins"
 # add path for Python3 in Jenkins if we're calling from a Jenkins 
machine
 os.environ["PATH"] = "/home/anaconda/envs/py3k/bin:" + 
os.environ.get("PATH")
 else:
 # else we're running locally and can use local settings
 build_tool = "sbt"
-hadoop_version = os.environ.get("HADOOP_PROFILE", "hadoop2.3")
--- End diff --

Here, too.


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[GitHub] spark pull request #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use...

2017-02-08 Thread srowen
Github user srowen commented on a diff in the pull request:

https://github.com/apache/spark/pull/16858#discussion_r100134493
  
--- Diff: dev/run-tests-jenkins.py ---
@@ -165,12 +165,6 @@ def main():
 if "test-maven" in ghprb_pull_title:
 os.environ["AMPLAB_JENKINS_BUILD_TOOL"] = "maven"
 # Switch the Hadoop profile based on the PR title:
--- End diff --

BTW while you're at it, I spotted one more thing that we could remove 
although it probably won't matter at all. Look for 
`expect_equal(basenameSansExtFromUrl(y), 
"spark-2.1.0-bin-hadoop2.4-without-hive")` in `test_utils.R`


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[GitHub] spark pull request #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use...

2017-02-08 Thread dongjoon-hyun
Github user dongjoon-hyun commented on a diff in the pull request:

https://github.com/apache/spark/pull/16858#discussion_r100134388
  
--- Diff: dev/run-tests.py ---
@@ -505,14 +505,14 @@ def main():
 # if we're on the Amplab Jenkins build servers setup variables
 # to reflect the environment settings
 build_tool = os.environ.get("AMPLAB_JENKINS_BUILD_TOOL", "sbt")
-hadoop_version = os.environ.get("AMPLAB_JENKINS_BUILD_PROFILE", 
"hadoop2.3")
--- End diff --

The default value should be 2.6.


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[GitHub] spark issue #16797: [SPARK-19455][SQL] Add option for case-insensitive Parqu...

2017-02-08 Thread budde
Github user budde commented on the issue:

https://github.com/apache/spark/pull/16797
  
> For better user experience, we should automatically infer the schema and 
write it back to metastore, if there is no case-sensitive table schema in 
metastore. This has the cost of detection the need of schema inference, and 
complicating table read code path.

Totally agree. I think the default behavior should be to infer and backfill 
a case-sensitive schema into the table properties if one isn't already there. 
An option should also be provided to disable all inference and just fall back 
to the case-insensitive metastore schema if none is found (i.e. the current 
behavior in 2.1.0).

> If this is only a compatibility issue, I think it's fair to ask the 
cluster maintainers to run some commands after upgrade Spark cluster. Even 
there are a lot of tables, it's easy to write a script to automate it.

I don't think this is fair. For one, as I've mentioned, in some cases Spark 
may not be the tool being used to maintain the metastore. This will now require 
the warehouse admins to set up a Spark cluster and run these migration commands 
on every table with case-sensitive underlying data if they'd like them to be 
accessible from Spark. As a second point, while writing an automation script 
may be trivial the execution costs aren't, especially if the data is stored in 
a format like JSON where each and every record in the table must be read in 
order to infer the schema.

> If there is no Spark specific table properties, we assume this table is 
created by hive(not by external systems like Presto), so the schema of parquet 
files should be all lowercased.

This isn't an assumption made by Spark prior to 2.1.0, whether this was an 
explicit decision or not. All I'm asking for is a way to configure Spark to 
continue supporting a use case it has for years.

Also, in our case, the table was created by Spark, not Presto. Presto is 
just an example of another execution engine we've put in front of our warehouse 
that hasn't had a problem with the underlying Parquet data being 
case-sensitive. We just used an older version of Spark to create the tables. I 
would think long and hard about whether requiring warehouse admins to run 
potentially-costly migrations between Spark versions to update table metadata 
is a preferable option to offering a way for being backwards-compatible with 
the old behavior.

Again, I think introducing a mechanism to migrate the table properties is a 
good idea. I just don't think it should be the only option.

> Another proposal is to make parquet reader case-insensitive, so that we 
can solve this problem without schema inference. But the problem is, Spark can 
be configured to be case-sensitive, so that it's possible to write such a 
schema (conflicting columns after lower-casing) into metastore. I think this 
proposal is the best if we can totally make Spark case-insensitive.

I don't think this would be a bad option if this could be enabled at the 
Parquet level, but it seems as their work towards enabling case-insensitive 
file access has stalled. As @ericl pointed out above, moving this to the 
ParquetReadSupport level may make the situation better for Parquet but the 
behavior won't be consistent across file formats like ORC or JSON.


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[GitHub] spark pull request #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use...

2017-02-08 Thread dongjoon-hyun
Github user dongjoon-hyun commented on a diff in the pull request:

https://github.com/apache/spark/pull/16858#discussion_r100133896
  
--- Diff: dev/run-tests-jenkins.py ---
@@ -165,12 +165,6 @@ def main():
 if "test-maven" in ghprb_pull_title:
 os.environ["AMPLAB_JENKINS_BUILD_TOOL"] = "maven"
 # Switch the Hadoop profile based on the PR title:
--- End diff --

Yep. This is not related to the SparkPullRequestBuilder failures. 
SparkPullRequestBuilder is due to the other file in this PR.


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[GitHub] spark pull request #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use...

2017-02-08 Thread srowen
Github user srowen commented on a diff in the pull request:

https://github.com/apache/spark/pull/16858#discussion_r100133412
  
--- Diff: dev/run-tests-jenkins.py ---
@@ -165,12 +165,6 @@ def main():
 if "test-maven" in ghprb_pull_title:
 os.environ["AMPLAB_JENKINS_BUILD_TOOL"] = "maven"
 # Switch the Hadoop profile based on the PR title:
--- End diff --

Ah... right missed this. This part doesn't actually matter, but, do the 
Jenkins jobs not all set a Hadoop version? then yeah could default to hadoop2.3 
which doesn't exist


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[GitHub] spark issue #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use hadoop...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16858
  
**[Test build #72595 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72595/testReport)**
 for PR 16858 at commit 
[`b8625a2`](https://github.com/apache/spark/commit/b8625a2b9e95c9c818c8f781d1ed839d24e617eb).


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[GitHub] spark pull request #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use...

2017-02-08 Thread dongjoon-hyun
Github user dongjoon-hyun commented on a diff in the pull request:

https://github.com/apache/spark/pull/16858#discussion_r100131333
  
--- Diff: dev/run-tests-jenkins.py ---
@@ -165,12 +165,6 @@ def main():
 if "test-maven" in ghprb_pull_title:
 os.environ["AMPLAB_JENKINS_BUILD_TOOL"] = "maven"
 # Switch the Hadoop profile based on the PR title:
--- End diff --

This removes hadoop 2.5 and earlier, too.


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[GitHub] spark issue #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use hadoop...

2017-02-08 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue:

https://github.com/apache/spark/pull/16858
  
@srowen Could you review this?


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[GitHub] spark pull request #16858: [SPARK-19464][BUILD][HOTFIX] run-tests should use...

2017-02-08 Thread dongjoon-hyun
GitHub user dongjoon-hyun opened a pull request:

https://github.com/apache/spark/pull/16858

[SPARK-19464][BUILD][HOTFIX] run-tests should use hadoop2.6

## What changes were proposed in this pull request?

After SPARK-19464, SparkPullRequestBuilder fails because it still tries to 
use hadoop2.3.


https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Test%20(Dashboard)/job/SparkPullRequestBuilder/72592/console

## How was this patch tested?

Pass the existing test.

You can merge this pull request into a Git repository by running:

$ git pull https://github.com/dongjoon-hyun/spark hotfix_run-tests

Alternatively you can review and apply these changes as the patch at:

https://github.com/apache/spark/pull/16858.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 #16858


commit b8625a2b9e95c9c818c8f781d1ed839d24e617eb
Author: Dongjoon Hyun 
Date:   2017-02-08T18:07:22Z

[SPARK-19464][BUILD][HOTFIX] run-tests should use hadoop2.6 instead of 
hadoop2.3




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[GitHub] spark issue #16387: [SPARK-18986][Core] ExternalAppendOnlyMap shouldn't fail...

2017-02-08 Thread vanzin
Github user vanzin commented on the issue:

https://github.com/apache/spark/pull/16387
  
@samkum the code is in this PR! Just revert the last two commits.


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[GitHub] spark issue #16844: [SPARK-19500] [SQL] Fix off-by-one bug in BytesToBytesMa...

2017-02-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/16844
  
Merged build finished. Test FAILed.


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[GitHub] spark issue #16844: [SPARK-19500] [SQL] Fix off-by-one bug in BytesToBytesMa...

2017-02-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/16844
  
Test FAILed.
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[GitHub] spark issue #16844: [SPARK-19500] [SQL] Fix off-by-one bug in BytesToBytesMa...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16844
  
**[Test build #72594 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72594/testReport)**
 for PR 16844 at commit 
[`d9aa208`](https://github.com/apache/spark/commit/d9aa2081c514577399ba77cfe2145a00ed477ef8).
 * This patch **fails to build**.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #16844: [SPARK-19500] [SQL] Fix off-by-one bug in BytesToBytesMa...

2017-02-08 Thread davies
Github user davies commented on the issue:

https://github.com/apache/spark/pull/16844
  
@viirya Addressed your comment, also fixed another bug (updated PR 
description).


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[GitHub] spark issue #16844: [SPARK-19500] [SQL] Fix off-by-one bug in BytesToBytesMa...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16844
  
**[Test build #72594 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72594/testReport)**
 for PR 16844 at commit 
[`d9aa208`](https://github.com/apache/spark/commit/d9aa2081c514577399ba77cfe2145a00ed477ef8).


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[GitHub] spark issue #15193: [SQL]RowBasedKeyValueBatch reuse valueRow too

2017-02-08 Thread ooq
Github user ooq commented on the issue:

https://github.com/apache/spark/pull/15193
  
Thanks for the patch @yaooqinn . As per comments for `getValueRow`, because 
`getValueRow(id)` is always called after `getKeyRow(id)` with the same id, we 
use `getValueFromKey(id) to retrieve value row and use the id as a flag for 
cached/uncached. The patch is unnecessary IMO. Also, with the patch code, it 
seems value row is not pointing to the correct position?


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[GitHub] spark issue #16744: [SPARK-19405][STREAMING] Support for cross-account Kines...

2017-02-08 Thread budde
Github user budde commented on the issue:

https://github.com/apache/spark/pull/16744
  
Looks like Jenkins is failing to build any recent PR due to the following 
error:

```[error] Could not find hadoop2.3 in the list. Valid options  are 
['hadoop2.6', 'hadoop2.7']```

I would guess this is related to [this 
commit](https://github.com/apache/spark/commit/e8d3fca4502d5f5b8f38525b5fdabe80ccf9a8ec).


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[GitHub] spark pull request #16664: [SPARK-18120 ][SQL] Call QueryExecutionListener c...

2017-02-08 Thread vanzin
Github user vanzin commented on a diff in the pull request:

https://github.com/apache/spark/pull/16664#discussion_r100127337
  
--- Diff: 
sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala ---
@@ -218,7 +247,14 @@ final class DataFrameWriter[T] private[sql](ds: 
Dataset[T]) {
   bucketSpec = getBucketSpec,
   options = extraOptions.toMap)
 
-dataSource.write(mode, df)
+val destination = source match {
+  case "jdbc" => extraOptions.get(JDBCOptions.JDBC_TABLE_NAME)
+  case _ => extraOptions.get("path")
--- End diff --

> Could we make it more general? For example, using a Map[String, String]

Being the person who requested this class instead of an opaque map, I think 
using an opaque map makes for a really bad user API. The listener now needs to 
know about "magic keys" that have special meaning, which can vary depending on 
the destination. So you end up making up some contract that certain keys have 
some special meanings an all sources need to use them that way, so basically 
you end up encoding this class in a map.

That being said I'm not super happy with the way JDBC works, because 
there's still some information embedded in the map. I thought about it a little 
but didn't come up with a good solution; embedding the table name in the JDBC 
URI sounds hacky and brittle. Best one I got is a separate field in this class 
(e.g. `serverUri`) that can be used to identify the server that is hosting the 
`destination` value (not needed for FS-based destinations since it's in the 
URI, but could be useful in other cases - maybe other table-based systems like 
Kudu or HBase).


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[GitHub] spark issue #16744: [SPARK-19405][STREAMING] Support for cross-account Kines...

2017-02-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/16744
  
Test FAILed.
Refer to this link for build results (access rights to CI server needed): 
https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/72593/
Test FAILed.


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[GitHub] spark issue #16744: [SPARK-19405][STREAMING] Support for cross-account Kines...

2017-02-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/16744
  
Merged build finished. Test FAILed.


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[GitHub] spark issue #16744: [SPARK-19405][STREAMING] Support for cross-account Kines...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16744
  
**[Test build #72593 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72593/testReport)**
 for PR 16744 at commit 
[`67a4acb`](https://github.com/apache/spark/commit/67a4acb7b253ec558471d86bcbf3a1fa969d2229).
 * This patch **fails to build**.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #16795: [SPARK-19409][BUILD][test-maven] Fix ParquetAvroCompatib...

2017-02-08 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue:

https://github.com/apache/spark/pull/16795
  
Thank you for merging, @srowen .
Thank you for review, @vanzin , @liancheng , @jaceklaskowski , too!
I'm watching the build system on mockito hotfix. I believe it will become 
stabler eventually.


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[GitHub] spark issue #16744: [SPARK-19405][STREAMING] Support for cross-account Kines...

2017-02-08 Thread budde
Github user budde commented on the issue:

https://github.com/apache/spark/pull/16744
  
Amending the PR again to fix new dependency conflict in spark/pom.xml. 
Thanks again for taking the time to review this, @brkyvz and @srowen. Please 
let me know if you feel any additional changes are needed before this is ready 
to merge. Since this doesn't break any existing APIs I think it would make some 
people happy if we could get this in the 2.1.1 release.


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[GitHub] spark issue #16744: [SPARK-19405][STREAMING] Support for cross-account Kines...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16744
  
**[Test build #72593 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72593/testReport)**
 for PR 16744 at commit 
[`67a4acb`](https://github.com/apache/spark/commit/67a4acb7b253ec558471d86bcbf3a1fa969d2229).


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[GitHub] spark issue #15193: [SQL]RowBasedKeyValueBatch reuse valueRow too

2017-02-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/15193
  
Can one of the admins verify this patch?


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[GitHub] spark issue #16853: [SPARK-19464][BUILD][HOTFIX][test-hadoop2.6] Add back mo...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16853
  
**[Test build #3564 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/NewSparkPullRequestBuilder/3564/testReport)**
 for PR 16853 at commit 
[`c791fdb`](https://github.com/apache/spark/commit/c791fdb8abdcda60bb3c06fe06cca7f77ea9bdc6).
 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark pull request #16853: [SPARK-19464][BUILD][HOTFIX][test-hadoop2.6] Add ...

2017-02-08 Thread asfgit
Github user asfgit closed the pull request at:

https://github.com/apache/spark/pull/16853


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[GitHub] spark issue #16853: [SPARK-19464][BUILD][HOTFIX][test-hadoop2.6] Add back mo...

2017-02-08 Thread srowen
Github user srowen commented on the issue:

https://github.com/apache/spark/pull/16853
  
Merged to master


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[GitHub] spark issue #16736: [SPARK-19265][SQL][Follow-up] Configurable `tableRelatio...

2017-02-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/16736
  
Merged build finished. Test FAILed.


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[GitHub] spark issue #16736: [SPARK-19265][SQL][Follow-up] Configurable `tableRelatio...

2017-02-08 Thread AmplabJenkins
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https://github.com/apache/spark/pull/16736
  
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[GitHub] spark issue #16736: [SPARK-19265][SQL][Follow-up] Configurable `tableRelatio...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16736
  
**[Test build #72592 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72592/testReport)**
 for PR 16736 at commit 
[`314f6f8`](https://github.com/apache/spark/commit/314f6f8de6990b1c3bfddea503490a1797e25117).
 * This patch **fails to build**.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #16850: [SPARK-19413][SS] MapGroupsWithState for arbitrary state...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16850
  
**[Test build #72586 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72586/testReport)**
 for PR 16850 at commit 
[`5025cb7`](https://github.com/apache/spark/commit/5025cb7511a43e24cb3a181eb7b06c69b024479f).
 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #16850: [SPARK-19413][SS] MapGroupsWithState for arbitrary state...

2017-02-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/16850
  
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[GitHub] spark issue #16736: [SPARK-19265][SQL][Follow-up] Configurable `tableRelatio...

2017-02-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16736
  
**[Test build #72592 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/72592/testReport)**
 for PR 16736 at commit 
[`314f6f8`](https://github.com/apache/spark/commit/314f6f8de6990b1c3bfddea503490a1797e25117).


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