[GitHub] [spark] dongjoon-hyun commented on issue #25794: [SPARK-26989][CORE][TEST][2.4] DAGSchedulerSuite: ensure listeners are fully processed before checking recorded values

2019-09-14 Thread GitBox
dongjoon-hyun commented on issue #25794: [SPARK-26989][CORE][TEST][2.4] 
DAGSchedulerSuite: ensure listeners are fully processed before checking 
recorded values
URL: https://github.com/apache/spark/pull/25794#issuecomment-531537318
 
 
   Thank you so much for making this backporting PR, @HeartSaVioR .


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[GitHub] [spark] SparkQA commented on issue #25794: [SPARK-26989][CORE][TEST][2.4] DAGSchedulerSuite: ensure listeners are fully processed before checking recorded values

2019-09-14 Thread GitBox
SparkQA commented on issue #25794: [SPARK-26989][CORE][TEST][2.4] 
DAGSchedulerSuite: ensure listeners are fully processed before checking 
recorded values
URL: https://github.com/apache/spark/pull/25794#issuecomment-531537306
 
 
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[GitHub] [spark] HeartSaVioR opened a new pull request #25794: [SPARK-26989][CORE][TEST] DAGSchedulerSuite: ensure listeners are fully processed before checking recorded values

2019-09-14 Thread GitBox
HeartSaVioR opened a new pull request #25794: [SPARK-26989][CORE][TEST] 
DAGSchedulerSuite: ensure listeners are fully processed before checking 
recorded values
URL: https://github.com/apache/spark/pull/25794
 
 
   ### What changes were proposed in this pull request?
   
   This patch ensures accessing recorded values in listener is always after 
letting listeners fully process all events. To ensure this, this patch adds new 
class to hide these values and access with methods which will ensure above 
condition. Without this guard, two threads are running concurrently - 1) 
listeners process thread 2) test main thread - and race condition would occur.
   
   That's why we also see very odd thing, error message saying condition is met 
but test failed:
   ```
   - Barrier task failures from the same stage attempt don't trigger multiple 
stage retries *** FAILED ***
 ArrayBuffer(0) did not equal List(0) (DAGSchedulerSuite.scala:2656)
   ```
   which means verification failed, and condition is met just before 
constructing error message.
   
   The guard is properly placed in many spots, but missed in some places. This 
patch enforces that it can't be missed.
   
   ### Why are the changes needed?
   
   UT fails intermittently and this patch will address the flakyness.
   
   ### Does this PR introduce any user-facing change?
   
   No
   
   ### How was this patch tested?
   
   Modified UT. 
   
   Also made the flaky tests artificially failing via applying 50ms of sleep on 
each onXXX method. 
   
   ![Screen Shot 2019-09-07 at 7 44 15 
AM](https://user-images.githubusercontent.com/1317309/64465178-1747ad00-d146-11e9-92f6-f4ed4a1f4b08.png)
   
   I found 3 methods being failed. (They've marked as X. Just ignore ! as they 
failed on waiting listener in given timeout and these tests don't deal with 
these recorded values - it uses other timeout value 1000ms than 1ms for 
this listener so affected via side-effect.)
   
   When I applied same in this patch all tests marked as X passed.


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[GitHub] [spark] dongjoon-hyun edited a comment on issue #25690: [SPARK-27831][FOLLOW-UP][SQL][TEST][test-hadoop3.2] Move Hive test jars to local file

2019-09-14 Thread GitBox
dongjoon-hyun edited a comment on issue #25690: 
[SPARK-27831][FOLLOW-UP][SQL][TEST][test-hadoop3.2] Move Hive test jars to 
local file
URL: https://github.com/apache/spark/pull/25690#issuecomment-531537068
 
 
   Do you think we need to tigger this PR multiple times, @wangyum ?
   Among the last three runs, two runs hit Hive test failures.
   I'm just wondering if those two Hive failures are relevant or not.


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[GitHub] [spark] dongjoon-hyun commented on issue #25690: [SPARK-27831][FOLLOW-UP][SQL][TEST][test-hadoop3.2] Move Hive test jars to local file

2019-09-14 Thread GitBox
dongjoon-hyun commented on issue #25690: 
[SPARK-27831][FOLLOW-UP][SQL][TEST][test-hadoop3.2] Move Hive test jars to 
local file
URL: https://github.com/apache/spark/pull/25690#issuecomment-531537068
 
 
   Ur, do we think we need to tigger this PR multiple times, @wangyum ?
   Among the last three runs, two runs hit Hive test failures.
   I'm just wondering if those two Hive failures are relevant or not.


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[GitHub] [spark] SparkQA removed a comment on issue #25690: [SPARK-27831][FOLLOW-UP][SQL][TEST][test-hadoop3.2] Move Hive test jars to local file

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SparkQA removed a comment on issue #25690: 
[SPARK-27831][FOLLOW-UP][SQL][TEST][test-hadoop3.2] Move Hive test jars to 
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URL: https://github.com/apache/spark/pull/25690#issuecomment-531531261
 
 
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[GitHub] [spark] SparkQA commented on issue #25690: [SPARK-27831][FOLLOW-UP][SQL][TEST][test-hadoop3.2] Move Hive test jars to local file

2019-09-14 Thread GitBox
SparkQA commented on issue #25690: 
[SPARK-27831][FOLLOW-UP][SQL][TEST][test-hadoop3.2] Move Hive test jars to 
local file
URL: https://github.com/apache/spark/pull/25690#issuecomment-531536668
 
 
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* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] dongjoon-hyun commented on issue #25786: [SPARK-29079][INFRA] Enable GitHub Action on PR

2019-09-14 Thread GitBox
dongjoon-hyun commented on issue #25786: [SPARK-29079][INFRA] Enable GitHub 
Action on PR
URL: https://github.com/apache/spark/pull/25786#issuecomment-531536069
 
 
   It seems working correctly on `master`.
   I'll logically backport this to `branch-2.4`, too.


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[GitHub] [spark] HeartSaVioR commented on issue #25792: [SPARK-23539][SS][FOLLOWUP][TESTS] Add UT to ensure existing query doesn't break with default conf of includeHeaders

2019-09-14 Thread GitBox
HeartSaVioR commented on issue #25792: [SPARK-23539][SS][FOLLOWUP][TESTS] Add 
UT to ensure existing query doesn't break with default conf of includeHeaders
URL: https://github.com/apache/spark/pull/25792#issuecomment-531535938
 
 
   cc. @zsxwing @srowen as reviewers with commit privileges of #24173 , and 
@dongjinleekr as author of #24173 


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[GitHub] [spark] HeartSaVioR commented on issue #25792: [SPARK-23539][SS][FOLLOWUP][TESTS] Add UT to ensure existing query doesn't break with default conf of includeHeaders

2019-09-14 Thread GitBox
HeartSaVioR commented on issue #25792: [SPARK-23539][SS][FOLLOWUP][TESTS] Add 
UT to ensure existing query doesn't break with default conf of includeHeaders
URL: https://github.com/apache/spark/pull/25792#issuecomment-531535795
 
 
   Actually the other intention was let test fail when "includeHeaders" is set 
to "true", as we suspected from 
https://github.com/apache/spark/pull/22282#issuecomment-463008868, but turns 
out it doesn't break even the option is set to true. It's because of the 
mechanism how `dropDuplicate` works - row is stored as key, and getting value 
via key doesn't leverage type while comparing as both hashCode and equals of 
row don't use type.
   
   Luckily it doesn't let query crash, but it would be ideal to do type check 
and avoid this case (possible chance to crash in runtime) - SPARK-27237 
(#24173) has been proposed to address this.


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[GitHub] [spark] dongjoon-hyun commented on issue #24088: [SPARK-27122][core] Jetty classes must not be return via getters in org.apache.spark.ui.WebUI

2019-09-14 Thread GitBox
dongjoon-hyun commented on issue #24088: [SPARK-27122][core] Jetty classes must 
not be return via getters in org.apache.spark.ui.WebUI
URL: https://github.com/apache/spark/pull/24088#issuecomment-531535495
 
 
   I made a backport PR to `branch-2.4`.


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[GitHub] [spark] dongjoon-hyun commented on issue #25793: [SPARK-27122][CORE][2.4] Jetty classes must not be return via getters in org.apache.spark.ui.WebUI

2019-09-14 Thread GitBox
dongjoon-hyun commented on issue #25793: [SPARK-27122][CORE][2.4] Jetty classes 
must not be return via getters in org.apache.spark.ui.WebUI
URL: https://github.com/apache/spark/pull/25793#issuecomment-531535462
 
 
   cc @ajithme , @srowen , @cloud-fan , @vanzin , @dbtsai 


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[GitHub] [spark] SparkQA commented on issue #25793: [SPARK-27122][CORE][2.4] Jetty classes must not be return via getters in org.apache.spark.ui.WebUI

2019-09-14 Thread GitBox
SparkQA commented on issue #25793: [SPARK-27122][CORE][2.4] Jetty classes must 
not be return via getters in org.apache.spark.ui.WebUI
URL: https://github.com/apache/spark/pull/25793#issuecomment-531535441
 
 
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[GitHub] [spark] dongjoon-hyun opened a new pull request #25793: [SPARK-27122][CORE][2.4] Jetty classes must not be return via getters in org.apache.spark.ui.WebUI

2019-09-14 Thread GitBox
dongjoon-hyun opened a new pull request #25793: [SPARK-27122][CORE][2.4] Jetty 
classes must not be return via getters in org.apache.spark.ui.WebUI
URL: https://github.com/apache/spark/pull/25793
 
 
   ### What changes were proposed in this pull request?
   
   This is a backport of #24088.
   
   ### Why are the changes needed?
   
   When we run YarnSchedulerBackendSuite, the class path seems to be made from 
the classes folder(resource-managers/yarn/target/scala-2.12/classes) instead of 
jar (resource-managers/yarn/target/spark-yarn_2.12-3.0.0-SNAPSHOT.jar) . 
ui.getHandlers is in spark-core and its loaded from spark-core.jar which is 
shaded and hence refers to org.spark_project.jetty.servlet.ServletContextHandler
   
   Here in  org.apache.spark.scheduler.cluster.YarnSchedulerBackend, as its not 
shaded, it expects org.eclipse.jetty.servlet.ServletContextHandler
   Refer discussion  
https://issues.apache.org/jira/browse/SPARK-27122?focusedCommentId=16792318=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-16792318
   
   Hence as a fix, org.apache.spark.ui.WebUI must only return a wrapper class 
instance or references so that Jetty classes can be avoided in getters which 
are accessed outside spark-core
   
   ### Does this PR introduce any user-facing change?
   
   No.
   
   ### How was this patch tested?
   
   Pass the Jenkins with the existing tests.


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[GitHub] [spark] SparkQA commented on issue #25791: [SPARK-29087][CORE][STREAMING] Use DelegatingServletContextHandler to avoid CCE

2019-09-14 Thread GitBox
SparkQA commented on issue #25791: [SPARK-29087][CORE][STREAMING] Use 
DelegatingServletContextHandler to avoid CCE
URL: https://github.com/apache/spark/pull/25791#issuecomment-531533754
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #25689: [SPARK-28972][DOCS] Describe unit for `spark.memory.offHeap.size`

2019-09-14 Thread GitBox
AmplabJenkins commented on issue #25689: [SPARK-28972][DOCS] Describe unit for 
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[GitHub] [spark] SparkQA commented on issue #25689: [SPARK-28972][DOCS] Describe unit for `spark.memory.offHeap.size`

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[GitHub] [spark] dongjoon-hyun commented on issue #25791: [SPARK-29087][CORE][STREAMING] Use DelegatingServletContextHandler to avoid CCE

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dongjoon-hyun commented on issue #25791: [SPARK-29087][CORE][STREAMING] Use 
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   Retest this please.


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[GitHub] [spark] SparkQA commented on issue #25791: [SPARK-29087][CORE][STREAMING] Use DelegatingServletContextHandler to avoid CCE

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[GitHub] [spark] viirya commented on a change in pull request #25789: [SPARK-28927][ML] Show warning when input data to ALS is indeterminate

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viirya commented on a change in pull request #25789: [SPARK-28927][ML] Show 
warning when input data to ALS is indeterminate
URL: https://github.com/apache/spark/pull/25789#discussion_r32761
 
 

 ##
 File path: mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala
 ##
 @@ -920,6 +924,14 @@ object ALS extends DefaultParamsReadable[ALS] with 
Logging {
 require(intermediateRDDStorageLevel != StorageLevel.NONE,
   "ALS is not designed to run without persisting intermediate RDDs.")
 
+// Indeterminate rating RDD causes inconsistent in/out blocks in case of 
rerun.
+// It can cause runtime error when matching in/out user/item blocks.
+if (ratings.outputDeterministicLevel == DeterministicLevel.INDETERMINATE) {
 
 Review comment:
   Yes, it is possible. It is just hard to tell if it is the case during ALS 
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[GitHub] [spark] srowen commented on issue #25785: [SPARK-27812][CORE] Explicit System.exit after job's main

2019-09-14 Thread GitBox
srowen commented on issue #25785: [SPARK-27812][CORE] Explicit System.exit 
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   Applications must call `stop()`. More things don't stop if an app doesn't, 
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[GitHub] [spark] wangyum commented on issue #25690: [SPARK-27831][FOLLOW-UP][SQL][TEST][test-hadoop3.2] Move Hive test jars to local file

2019-09-14 Thread GitBox
wangyum commented on issue #25690: 
[SPARK-27831][FOLLOW-UP][SQL][TEST][test-hadoop3.2] Move Hive test jars to 
local file
URL: https://github.com/apache/spark/pull/25690#issuecomment-531530905
 
 
   retest this please


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[GitHub] [spark] SparkQA commented on issue #25792: [SPARK-23539][SS][FOLLOWUP][TESTS] Add UT to ensure existing query doesn't break with default conf of includeHeaders

2019-09-14 Thread GitBox
SparkQA commented on issue #25792: [SPARK-23539][SS][FOLLOWUP][TESTS] Add UT to 
ensure existing query doesn't break with default conf of includeHeaders
URL: https://github.com/apache/spark/pull/25792#issuecomment-531530915
 
 
   **[Test build #110604 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/110604/testReport)**
 for PR 25792 at commit 
[`a3b5824`](https://github.com/apache/spark/commit/a3b5824eca2b972eab3bd8cf50bb898a17a4a299).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] HyukjinKwon commented on issue #25753: [SPARK-29046][SQL] Fix NPE in SQLConf.get when active SparkContext is stopping

2019-09-14 Thread GitBox
HyukjinKwon commented on issue #25753: [SPARK-29046][SQL] Fix NPE in 
SQLConf.get when active SparkContext is stopping
URL: https://github.com/apache/spark/pull/25753#issuecomment-531530073
 
 
   Thanks all for taking care of this.


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[GitHub] [spark] HyukjinKwon removed a comment on issue #25753: [SPARK-29046][SQL] Fix NPE in SQLConf.get when active SparkContext is stopping

2019-09-14 Thread GitBox
HyukjinKwon removed a comment on issue #25753: [SPARK-29046][SQL] Fix NPE in 
SQLConf.get when active SparkContext is stopping
URL: https://github.com/apache/spark/pull/25753#issuecomment-531521315
 
 
   @dongjoon-hyun, I think everybody knows and does it. It's been public 
holidays in KST and I guess it's weekends - so the action was a  bit delayed. 
Commit / revert thing can happen and I don't think there's particularly bad 
pattern here.


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[GitHub] [spark] dongjoon-hyun removed a comment on issue #25753: [SPARK-29046][SQL] Fix NPE in SQLConf.get when active SparkContext is stopping

2019-09-14 Thread GitBox
dongjoon-hyun removed a comment on issue #25753: [SPARK-29046][SQL] Fix NPE in 
SQLConf.get when active SparkContext is stopping
URL: https://github.com/apache/spark/pull/25753#issuecomment-531506514
 
 
   To committers.
   Since 3.0.0-preview is coming, please take a look the Jenkins status after 
your merging.
   We can notice this easily because this causes consecutive outages across 
over all Jenkins combinations from Sep 11, 2019 9:50PM to Sep 14, 2019 12:16AM 
without fixing the root causes. Also, many irrelevant PRs suffered during that 
period due to the flakiness.


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[GitHub] [spark] dongjoon-hyun removed a comment on issue #25753: [SPARK-29046][SQL] Fix NPE in SQLConf.get when active SparkContext is stopping

2019-09-14 Thread GitBox
dongjoon-hyun removed a comment on issue #25753: [SPARK-29046][SQL] Fix NPE in 
SQLConf.get when active SparkContext is stopping
URL: https://github.com/apache/spark/pull/25753#issuecomment-531524525
 
 
   Of course, I knew that it was due to a big holiday for Lunar calendar.  


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[GitHub] [spark] AmplabJenkins removed a comment on issue #25792: [SPARK-23539][SS][FOLLOWUP][TESTS] Add UT to ensure existing query doesn't break with default conf of includeHeaders

2019-09-14 Thread GitBox
AmplabJenkins removed a comment on issue #25792: 
[SPARK-23539][SS][FOLLOWUP][TESTS] Add UT to ensure existing query doesn't 
break with default conf of includeHeaders
URL: https://github.com/apache/spark/pull/25792#issuecomment-531529682
 
 
   Can one of the admins verify this patch?


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[GitHub] [spark] SparkQA commented on issue #25792: [SPARK-23539][SS][FOLLOWUP][TESTS] Add UT to ensure existing query doesn't break with default conf of includeHeaders

2019-09-14 Thread GitBox
SparkQA commented on issue #25792: [SPARK-23539][SS][FOLLOWUP][TESTS] Add UT to 
ensure existing query doesn't break with default conf of includeHeaders
URL: https://github.com/apache/spark/pull/25792#issuecomment-531529850
 
 
   **[Test build #110604 has 
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[GitHub] [spark] dongjoon-hyun commented on issue #25791: [SPARK-29087][CORE][STREAMING] Use DelegatingServletContextHandler to avoid CCE

2019-09-14 Thread GitBox
dongjoon-hyun commented on issue #25791: [SPARK-29087][CORE][STREAMING] Use 
DelegatingServletContextHandler to avoid CCE
URL: https://github.com/apache/spark/pull/25791#issuecomment-531529800
 
 
   cc @ajithme and @srowen 


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[GitHub] [spark] AmplabJenkins commented on issue #25792: [SPARK-23539][SS][FOLLOWUP] Add UT to ensure existing query doesn't break with default conf of includeHeaders

2019-09-14 Thread GitBox
AmplabJenkins commented on issue #25792: [SPARK-23539][SS][FOLLOWUP] Add UT to 
ensure existing query doesn't break with default conf of includeHeaders
URL: https://github.com/apache/spark/pull/25792#issuecomment-531529682
 
 
   Can one of the admins verify this patch?


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[GitHub] [spark] HeartSaVioR commented on issue #25792: [SPARK-23539][SS][FOLLOWUP] Add UT to ensure existing query doesn't break with default conf of includeHeaders

2019-09-14 Thread GitBox
HeartSaVioR commented on issue #25792: [SPARK-23539][SS][FOLLOWUP] Add UT to 
ensure existing query doesn't break with default conf of includeHeaders
URL: https://github.com/apache/spark/pull/25792#issuecomment-531529644
 
 
   This patch is to address my own comment which PR was merged without 
addressing this.
   https://github.com/apache/spark/pull/22282#issuecomment-476883917
   


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[GitHub] [spark] HeartSaVioR opened a new pull request #25792: [SPARK-23539][SS][FOLLOWUP] Add UT to ensure existing query doesn't break with default conf of includeHeaders

2019-09-14 Thread GitBox
HeartSaVioR opened a new pull request #25792: [SPARK-23539][SS][FOLLOWUP] Add 
UT to ensure existing query doesn't break with default conf of includeHeaders
URL: https://github.com/apache/spark/pull/25792
 
 
   ### What changes were proposed in this pull request?
   
   This patch adds new UT to ensure existing query (before Spark 3.0.0) with 
checkpoint doesn't break with default configuration of "includeHeaders".
   
   This patch also modifies existing test which checks type of columns to also 
check headers column as well.
   
   ### Why are the changes needed?
   
   The patch adds missing tests which guarantees backward compatibility of the 
change of SPARK-23539.
   
   ### Does this PR introduce any user-facing change?
   
   No.
   
   ### How was this patch tested?
   
   UT passed.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #25717: [SPARK-29013][SQL] Structurally equivalent subexpression elimination

2019-09-14 Thread GitBox
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Structurally equivalent subexpression elimination
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[GitHub] [spark] AmplabJenkins removed a comment on issue #25717: [SPARK-29013][SQL] Structurally equivalent subexpression elimination

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[GitHub] [spark] AmplabJenkins commented on issue #25717: [SPARK-29013][SQL] Structurally equivalent subexpression elimination

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[GitHub] [spark] AmplabJenkins commented on issue #25717: [SPARK-29013][SQL] Structurally equivalent subexpression elimination

2019-09-14 Thread GitBox
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URL: https://github.com/apache/spark/pull/25717#issuecomment-531529515
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #25791: [SPARK-29087][CORE][STREAMING] Use DelegatingServletContextHandler to avoid CCE

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[GitHub] [spark] AmplabJenkins commented on issue #25791: [SPARK-29087][CORE][STREAMING] Use DelegatingServletContextHandler to avoid CCE

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[GitHub] [spark] SparkQA removed a comment on issue #25717: [SPARK-29013][SQL] Structurally equivalent subexpression elimination

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URL: https://github.com/apache/spark/pull/25717#issuecomment-531519734
 
 
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[GitHub] [spark] SparkQA commented on issue #25717: [SPARK-29013][SQL] Structurally equivalent subexpression elimination

2019-09-14 Thread GitBox
SparkQA commented on issue #25717: [SPARK-29013][SQL] Structurally equivalent 
subexpression elimination
URL: https://github.com/apache/spark/pull/25717#issuecomment-531529441
 
 
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[GitHub] [spark] SparkQA commented on issue #25791: [SPARK-29087][SS] Use DelegatingServletContextHandler to avoid CCE

2019-09-14 Thread GitBox
SparkQA commented on issue #25791: [SPARK-29087][SS] Use 
DelegatingServletContextHandler to avoid CCE
URL: https://github.com/apache/spark/pull/25791#issuecomment-531529258
 
 
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[GitHub] [spark] dongjoon-hyun opened a new pull request #25791: [SPARK-29087][SS] Use DelegatingServletContextHandler to avoid CCE

2019-09-14 Thread GitBox
dongjoon-hyun opened a new pull request #25791: [SPARK-29087][SS] Use 
DelegatingServletContextHandler to avoid CCE
URL: https://github.com/apache/spark/pull/25791
 
 
   ### What changes were proposed in this pull request?
   
   
   
   ### Why are the changes needed?
   
   
   
   ### Does this PR introduce any user-facing change?
   
   
   
   ### How was this patch tested?
   
   


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[GitHub] [spark] felixcheung commented on a change in pull request #25789: [SPARK-28927][ML] Show warning when input data to ALS is indeterminate

2019-09-14 Thread GitBox
felixcheung commented on a change in pull request #25789: [SPARK-28927][ML] 
Show warning when input data to ALS is indeterminate
URL: https://github.com/apache/spark/pull/25789#discussion_r324443661
 
 

 ##
 File path: mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala
 ##
 @@ -920,6 +924,14 @@ object ALS extends DefaultParamsReadable[ALS] with 
Logging {
 require(intermediateRDDStorageLevel != StorageLevel.NONE,
   "ALS is not designed to run without persisting intermediate RDDs.")
 
+// Indeterminate rating RDD causes inconsistent in/out blocks in case of 
rerun.
+// It can cause runtime error when matching in/out user/item blocks.
+if (ratings.outputDeterministicLevel == DeterministicLevel.INDETERMINATE) {
 
 Review comment:
   if I understanding this correctly, mismatch -> failure is only one possible 
outcome? it could also end up matching the wrong user/item before the index is 
wrong? that seems more subtle and much harder to detect


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[GitHub] [spark] AmplabJenkins removed a comment on issue #25778: [SPARK-29080][CORE][SPARKR] Support R file extension case-insensitively

2019-09-14 Thread GitBox
AmplabJenkins removed a comment on issue #25778: [SPARK-29080][CORE][SPARKR] 
Support R file extension case-insensitively
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[GitHub] [spark] AmplabJenkins removed a comment on issue #25778: [SPARK-29080][CORE][SPARKR] Support R file extension case-insensitively

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Support R file extension case-insensitively
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[GitHub] [spark] AmplabJenkins commented on issue #25778: [SPARK-29080][CORE][SPARKR] Support R file extension case-insensitively

2019-09-14 Thread GitBox
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URL: https://github.com/apache/spark/pull/25778#issuecomment-531526024
 
 
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[GitHub] [spark] SparkQA removed a comment on issue #25778: [SPARK-29080][CORE][SPARKR] Support R file extension case-insensitively

2019-09-14 Thread GitBox
SparkQA removed a comment on issue #25778: [SPARK-29080][CORE][SPARKR] Support 
R file extension case-insensitively
URL: https://github.com/apache/spark/pull/25778#issuecomment-531519347
 
 
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[GitHub] [spark] SparkQA commented on issue #25778: [SPARK-29080][CORE][SPARKR] Support R file extension case-insensitively

2019-09-14 Thread GitBox
SparkQA commented on issue #25778: [SPARK-29080][CORE][SPARKR] Support R file 
extension case-insensitively
URL: https://github.com/apache/spark/pull/25778#issuecomment-531525933
 
 
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* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] igorcalabria commented on issue #25785: [SPARK-27812][CORE] Explicit System.exit after job's main

2019-09-14 Thread GitBox
igorcalabria commented on issue #25785: [SPARK-27812][CORE] Explicit 
System.exit after job's main
URL: https://github.com/apache/spark/pull/25785#issuecomment-531524626
 
 
   > I see, can that thread be a daemon? If System.exit is viable (i.e. 
immediately stopping daemon threads) then it should be. But if not, then yeah 
such a thread needs to be shut down cleanly somehow during the shutdown 
process. This could be a shutdown hook.
   
   I don't think there's an option to create a daemon thread in this case. This 
was already discussed on https://github.com/square/okhttp/issues/3339
   
   I'm sorry, but I didn't understand what you meant about the viability of 
`System.exit`. There's already a shutdown logic for the kubernetes client 
https://github.com/apache/spark/blob/master/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/scheduler/cluster/k8s/KubernetesClusterSchedulerBackend.scala#L115
 but this only called if the shutdownHook runs or if the user calls 
`SparkSession#stop()`. Calling system.exit is just a way to ensure that the 
hooks run after the user's main code. Everything is still cleaned up nicely 
since the System.exit does not bypass the registered hooks.
   
   > Hi, @igorcalabria .
   > According to the test result, this PR seems to break `Spark Thrift Server` 
module at least UT level. The following is one example failure. To be 
considered as mergeable, this PR should pass all UTs at least. Could you focus 
on fixing that module?
   > 
   > ```
   > $ build/sbt -Phive-thriftserver "hive-thriftserver/test-only 
*.SingleSessionSuite"
   > ...
   > [info] Tests: succeeded 0, failed 3, canceled 0, ignored 0, pending 0
   > [info] *** 3 TESTS FAILED ***
   > [error] Failed: Total 3, Failed 3, Errors 0, Passed 0
   > [error] Failed tests:
   > [error]org.apache.spark.sql.hive.thriftserver.SingleSessionSuite
   > [error] (hive-thriftserver/test:testOnly) sbt.TestsFailedException: Tests 
unsuccessful
   > [error] Total time: 258 s, completed Sep 14, 2019 4:16:09 PM
   > ```
   
   @dongjoon-hyun I'll take a look.


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[GitHub] [spark] dongjoon-hyun commented on issue #25753: [SPARK-29046][SQL] Fix NPE in SQLConf.get when active SparkContext is stopping

2019-09-14 Thread GitBox
dongjoon-hyun commented on issue #25753: [SPARK-29046][SQL] Fix NPE in 
SQLConf.get when active SparkContext is stopping
URL: https://github.com/apache/spark/pull/25753#issuecomment-531524525
 
 
   Of course, I knew that it was due to a big holiday for Lunar calendar.  


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[GitHub] [spark] viirya commented on issue #25717: [SPARK-29013][SQL] Structurally equivalent subexpression elimination

2019-09-14 Thread GitBox
viirya commented on issue #25717: [SPARK-29013][SQL] Structurally equivalent 
subexpression elimination
URL: https://github.com/apache/spark/pull/25717#issuecomment-531524227
 
 
   > btw, this pr doesn't include end-to-end tests and do you think the queries 
in the existing tests are enough for the end-to-end tests of this pr? I'm not 
sure about how much the existing tests include structurally equivalent exprs 
though...
   
   Regarding end-to-end tests, I am not sure what test we need. If there are 
end-to-end tests of current sub-expresssion elimination, I think I can write 
tests based on that.
   
   > Also, no negative performance impacts on the existing queries, e.g., TPCDS?
   
   I have not run a TPCDS benchmark with this. Just `TPCDSQueryBenchmark` is 
enough?


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[GitHub] [spark] maropu edited a comment on issue #25717: [SPARK-29013][SQL] Structurally equivalent subexpression elimination

2019-09-14 Thread GitBox
maropu edited a comment on issue #25717: [SPARK-29013][SQL] Structurally 
equivalent subexpression elimination
URL: https://github.com/apache/spark/pull/25717#issuecomment-531522434
 
 
   btw, this pr doesn't include end-to-end tests and do you think the queries 
in the existing tests are enough for the end-to-end tests of this pr? I'm not 
sure about how much the existing tests include structurally equivalent exprs 
though...
   
   Also, no negative performance impacts on the existing queries, e.g., TPCDS?


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[GitHub] [spark] maropu commented on issue #25717: [SPARK-29013][SQL] Structurally equivalent subexpression elimination

2019-09-14 Thread GitBox
maropu commented on issue #25717: [SPARK-29013][SQL] Structurally equivalent 
subexpression elimination
URL: https://github.com/apache/spark/pull/25717#issuecomment-531522434
 
 
   btw, this pr doesn't include end-to-end tests and do you think the queries 
in the existing tests are enough for the end-to-end tests of this pr? I'm not 
sure about how much the existing tests include structurally equivalent exprs 
though...


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[GitHub] [spark] maropu commented on issue #25717: [SPARK-29013][SQL] Structurally equivalent subexpression elimination

2019-09-14 Thread GitBox
maropu commented on issue #25717: [SPARK-29013][SQL] Structurally equivalent 
subexpression elimination
URL: https://github.com/apache/spark/pull/25717#issuecomment-531521923
 
 
   @cloud-fan @rednaxelafx @mgaido91 @kiszk Anyone can check this?


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[GitHub] [spark] maropu commented on a change in pull request #25717: [SPARK-29013][SQL] Structurally equivalent subexpression elimination

2019-09-14 Thread GitBox
maropu commented on a change in pull request #25717: [SPARK-29013][SQL] 
Structurally equivalent subexpression elimination
URL: https://github.com/apache/spark/pull/25717#discussion_r324441285
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/EquivalentExpressions.scala
 ##
 @@ -40,23 +40,47 @@ class EquivalentExpressions {
 override def hashCode: Int = e.semanticHash()
   }
 
+  /**
+   * Wrapper around an Expression that provides structural semantic equality.
+   */
+  case class StructuralExpr(e: Expression) {
+def normalized(expr: Expression): Expression = {
+  expr.transformUp {
+case b: ParameterizedBoundReference =>
 
 Review comment:
   The current one looks super good to me. Thanks!


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[GitHub] [spark] HyukjinKwon edited a comment on issue #25753: [SPARK-29046][SQL] Fix NPE in SQLConf.get when active SparkContext is stopping

2019-09-14 Thread GitBox
HyukjinKwon edited a comment on issue #25753: [SPARK-29046][SQL] Fix NPE in 
SQLConf.get when active SparkContext is stopping
URL: https://github.com/apache/spark/pull/25753#issuecomment-531521315
 
 
   @dongjoon-hyun, I think everybody knows and does it. It's been public 
holidays in KST and I guess it's weekends - so the action was a  bit delayed. 
Commit / revert thing can happen and I don't think there's particularly bad 
pattern here.


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[GitHub] [spark] HyukjinKwon commented on issue #25753: [SPARK-29046][SQL] Fix NPE in SQLConf.get when active SparkContext is stopping

2019-09-14 Thread GitBox
HyukjinKwon commented on issue #25753: [SPARK-29046][SQL] Fix NPE in 
SQLConf.get when active SparkContext is stopping
URL: https://github.com/apache/spark/pull/25753#issuecomment-531521333
 
 
   > @dongjoon-hyun, I think everybody knows and does it. It's been public 
holidays in KST and I guess it's weekends - so the action was a bit delayed. 
Commit / revert thing can happen and I don't think there's particularly bad 
pattern here.
   
   


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[GitHub] [spark] HyukjinKwon removed a comment on issue #25753: [SPARK-29046][SQL] Fix NPE in SQLConf.get when active SparkContext is stopping

2019-09-14 Thread GitBox
HyukjinKwon removed a comment on issue #25753: [SPARK-29046][SQL] Fix NPE in 
SQLConf.get when active SparkContext is stopping
URL: https://github.com/apache/spark/pull/25753#issuecomment-531521333
 
 
   > @dongjoon-hyun, I think everybody knows and does it. It's been public 
holidays in KST and I guess it's weekends - so the action was a bit delayed. 
Commit / revert thing can happen and I don't think there's particularly bad 
pattern here.
   
   


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[GitHub] [spark] HyukjinKwon commented on issue #25753: [SPARK-29046][SQL] Fix NPE in SQLConf.get when active SparkContext is stopping

2019-09-14 Thread GitBox
HyukjinKwon commented on issue #25753: [SPARK-29046][SQL] Fix NPE in 
SQLConf.get when active SparkContext is stopping
URL: https://github.com/apache/spark/pull/25753#issuecomment-531521315
 
 
   @dongjoon-hyun, I think everybody knows and does it. It's been public 
holidays in KST and I guess it's weekends - so the action was a  it delayed. 
Commit / revert thing can happen and I don't think there's particularly bad 
pattern here.


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Structurally equivalent subexpression elimination
URL: https://github.com/apache/spark/pull/25717#issuecomment-531520200
 
 
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Structurally equivalent subexpression elimination
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URL: https://github.com/apache/spark/pull/25717#issuecomment-531505938
 
 
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[GitHub] [spark] SparkQA commented on issue #25717: [SPARK-29013][SQL] Structurally equivalent subexpression elimination

2019-09-14 Thread GitBox
SparkQA commented on issue #25717: [SPARK-29013][SQL] Structurally equivalent 
subexpression elimination
URL: https://github.com/apache/spark/pull/25717#issuecomment-531520115
 
 
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* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] SparkQA commented on issue #25717: [SPARK-29013][SQL] Structurally equivalent subexpression elimination

2019-09-14 Thread GitBox
SparkQA commented on issue #25717: [SPARK-29013][SQL] Structurally equivalent 
subexpression elimination
URL: https://github.com/apache/spark/pull/25717#issuecomment-531519734
 
 
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