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yucai updated SPARK-25084:
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Description:
Test Query:
{code:java}
select * from store_sales distribute by (ss_sold_time_sk, ss_item_sk,
ss
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yucai commented on SPARK-25084:
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It is a regression, when the generated codes size is more
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Xiao Li commented on SPARK-25084:
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Could you investigate which PR introduced this bug? W
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Xiao Li commented on SPARK-25084:
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Let us mark it as a blocker. How about the master bra
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Xiao Li updated SPARK-25084:
Priority: Blocker (was: Major)
> "distribute by" on multiple columns may lead to codegen issue
>
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Saisai Shao commented on SPARK-25084:
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I see. Unfortunately I've cut the RC4, if it
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Yuming Wang commented on SPARK-25084:
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It's a regression.
> "distribute by" on mult
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Saisai Shao commented on SPARK-25084:
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Is this a regression or just a bug existed in
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StanZhai updated SPARK-25067:
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Attachment: (was: 1533128203469_2.png)
> Active tasks exceed total cores of an executor in WebUI
> -
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Saisai Shao commented on SPARK-25084:
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I'm already preparing new RC4. If this is not
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Yuming Wang commented on SPARK-25084:
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[~smilegator], [~jerryshao] I think It should
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Apache Spark reassigned SPARK-25084:
Assignee: Apache Spark
> "distribute by" on multiple columns may lead to codegen issue
>
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Apache Spark reassigned SPARK-25084:
Assignee: (was: Apache Spark)
> "distribute by" on multiple columns may lead to codeg
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Apache Spark commented on SPARK-25084:
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User 'yucai' has created a pull request for
yucai created SPARK-25084:
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Summary: "distribute by" on multiple columns may lead to codegen
issue
Key: SPARK-25084
URL: https://issues.apache.org/jira/browse/SPARK-25084
Project: Spark
Issue Type:
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Apache Spark commented on SPARK-23992:
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User '10110346' has created a pull request
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bharath kumar avusherla closed SPARK-25052.
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> Is there any possibility that spark structured streaming generate duplicates
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Wenchen Fan updated SPARK-23243:
Labels: correctness (was: )
> Shuffle+Repartition on an RDD could lead to incorrect answers
> ---
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Apache Spark commented on SPARK-25044:
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User 'srowen' has created a pull request fo
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Apache Spark reassigned SPARK-25044:
Assignee: (was: Apache Spark)
> Address translation of LMF closure primitive args to
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Apache Spark reassigned SPARK-25044:
Assignee: Apache Spark
> Address translation of LMF closure primitive args to Object in S
Wenchen Fan created SPARK-25083:
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Summary: remove the type erasure hack in data source scan
Key: SPARK-25083
URL: https://issues.apache.org/jira/browse/SPARK-25083
Project: Spark
Issue Type: Im
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Wenchen Fan updated SPARK-25076:
Fix Version/s: 2.3.2
> SQLConf should not be retrieved from a stopped SparkSession
> -
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Wenchen Fan commented on SPARK-24502:
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This is enough. The places you need to pay at
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Hyukjin Kwon resolved SPARK-24886.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21845
[https://gi
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Steve Loughran commented on SPARK-22236:
I wouldn't recommend changing multiline
Alexander Belov created SPARK-25082:
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Summary: Documentation for Spark Function expm1 is incomplete
Key: SPARK-25082
URL: https://issues.apache.org/jira/browse/SPARK-25082
Project: Spark
Is
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Shixiong Zhu updated SPARK-25081:
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Labels: correctness (was: )
> Nested spill in ShuffleExternalSorter may access a released memor
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Apache Spark reassigned SPARK-25081:
Assignee: Apache Spark (was: Shixiong Zhu)
> Nested spill in ShuffleExternalSorter may a
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Apache Spark commented on SPARK-25081:
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User 'zsxwing' has created a pull request f
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Apache Spark reassigned SPARK-25081:
Assignee: Shixiong Zhu (was: Apache Spark)
> Nested spill in ShuffleExternalSorter may a
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Shixiong Zhu updated SPARK-25081:
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Description:
This issue is pretty similar to SPARK-21907.
"allocateArray" in
[ShuffleInMemoryS
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Shixiong Zhu updated SPARK-25081:
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Description:
This issue is pretty similar to SPARK-21907.
"allocateArray" in
[ShuffleInMemoryS
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Shixiong Zhu updated SPARK-25081:
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Description:
This issue is pretty similar to SPARK-21907.
"allocateArray" in
[ShuffleInMemoryS
Shixiong Zhu created SPARK-25081:
Summary: Nested spill in ShuffleExternalSorter may access a
released memory page
Key: SPARK-25081
URL: https://issues.apache.org/jira/browse/SPARK-25081
Project: Spa
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shane knapp commented on SPARK-25079:
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i've confirmed, for the master branch at leas
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shane knapp commented on SPARK-24950:
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do we care about 2.0 and 1.6?
> scala DateTi
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Sean Owen resolved SPARK-24950.
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Resolution: Fixed
Fix Version/s: 2.3.2
2.2.3
2.1.4
> sc
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shane knapp commented on SPARK-24950:
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booyah! i love watching the build queue pile
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shane knapp commented on SPARK-24950:
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word. let's leave this open until for a bit
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Sean Owen commented on SPARK-24950:
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Roger that, will back-port back to 2.1 as best I
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shane knapp commented on SPARK-24950:
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[~srowen] [~d80tb7] i'm thinking that we actu
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shane knapp updated SPARK-24950:
Affects Version/s: 2.1.3
> scala DateTimeUtilsSuite daysToMillis and millisToDays fails w/java 8 1
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shane knapp reopened SPARK-24950:
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> scala DateTimeUtilsSuite daysToMillis and millisToDays fails w/java 8 181-b13
> --
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Xiao Li resolved SPARK-25068.
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Resolution: Fixed
Fix Version/s: 2.4.0
> High-order function: exists(array, function) → boolean
>
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Xiao Li resolved SPARK-25076.
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Resolution: Fixed
Fix Version/s: 2.4.0
> SQLConf should not be retrieved from a stopped SparkSess
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Steve Bairos commented on SPARK-18057:
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Hey, long shot but any chance this change c
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Xiao Li resolved SPARK-25077.
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Resolution: Fixed
Assignee: Li Yuanjian
Fix Version/s: 2.4.0
> Delete unused variable in
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Mateusz Jukiewicz updated SPARK-23298:
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Labels: Correctness CorrectnessBug correctness (was: CorrectnessBug
correctness)
> d
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Mateusz Jukiewicz updated SPARK-23298:
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Labels: CorrectnessBug correctness (was: )
> distinct.count on Dataset/DataFrame yiel
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Joe Pallas commented on SPARK-22236:
If this can't change before 3.0, how about a no
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Kunal Goswami commented on SPARK-25059:
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Thank you so much for the prompt response
Andrew K Long created SPARK-25080:
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Summary: NPE in HiveShim$.toCatalystDecimal(HiveShim.scala:110)
Key: SPARK-25080
URL: https://issues.apache.org/jira/browse/SPARK-25080
Project: Spark
Issu
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Thomas Graves commented on SPARK-25024:
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ok, I'm not familiar with mesos hardly at
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Sean Owen commented on SPARK-25044:
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Next thought: use ScalaUDF's inputTypes field to
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shane knapp commented on SPARK-25079:
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SO. MANY. MOVING. PARTS.
> [PYTHON] upgra
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Apache Spark reassigned SPARK-25079:
Assignee: Apache Spark (was: shane knapp)
> [PYTHON] upgrade python 3.4 -> 3.5
> ---
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Apache Spark commented on SPARK-25079:
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User 'shaneknapp' has created a pull reques
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Apache Spark reassigned SPARK-25079:
Assignee: shane knapp (was: Apache Spark)
> [PYTHON] upgrade python 3.4 -> 3.5
> ---
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shane knapp commented on SPARK-23874:
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this issue depends on this: https://issues.a
shane knapp created SPARK-25079:
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Summary: [PYTHON] upgrade python 3.4 -> 3.5
Key: SPARK-25079
URL: https://issues.apache.org/jira/browse/SPARK-25079
Project: Spark
Issue Type: Improvement
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Apache Spark reassigned SPARK-25036:
Assignee: Apache Spark (was: Kazuaki Ishizaki)
> Scala 2.12 issues: Compilation error wi
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Apache Spark reassigned SPARK-25036:
Assignee: Kazuaki Ishizaki (was: Apache Spark)
> Scala 2.12 issues: Compilation error wi
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Apache Spark commented on SPARK-25036:
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User 'kiszk' has created a pull request for
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Kazuaki Ishizaki updated SPARK-25036:
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Description:
When compiling with sbt, the following errors occur:
There are -two- three
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Kazuaki Ishizaki edited comment on SPARK-25036 at 8/9/18 5:05 PM:
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Kazuaki Ishizaki reopened SPARK-25036:
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Another type of compilation error is found
> Scala 2.12 issues: Compilation error with sb
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Arthur Rand commented on SPARK-25024:
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Just to chime in here. Unless a lot has chang
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Kazuaki Ishizaki commented on SPARK-25059:
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Thank you for reporting the issue.
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Apache Spark commented on SPARK-25036:
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User 'kiszk' has created a pull request for
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Imran Rashid commented on SPARK-23207:
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yeah I agree with Tom, silent data loss is
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Sean Owen commented on SPARK-22634:
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That text is part of Netty's NOTICE file, which m
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Imran Rashid updated SPARK-25078:
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Summary: Standalone does not work with spark.authenticate.secret and
deploy-mode=cluster (was:
Imran Rashid created SPARK-25078:
Summary: Standalone cluster mode does not work with
spark.authenticate.secret
Key: SPARK-25078
URL: https://issues.apache.org/jira/browse/SPARK-25078
Project: Spark
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Apache Spark reassigned SPARK-25077:
Assignee: Apache Spark
> Delete unused variable in WindowExec
> -
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Apache Spark commented on SPARK-25077:
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User 'xuanyuanking' has created a pull requ
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Apache Spark reassigned SPARK-25077:
Assignee: (was: Apache Spark)
> Delete unused variable in WindowExec
> --
Li Yuanjian created SPARK-25077:
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Summary: Delete unused variable in WindowExec
Key: SPARK-25077
URL: https://issues.apache.org/jira/browse/SPARK-25077
Project: Spark
Issue Type: Improvement
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Kyle Prifogle commented on SPARK-12449:
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[~oae] as far as I can tell the issue li
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Paul Praet commented on SPARK-24502:
We are only creating SparkSessions with a Spark
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Xiao Li resolved SPARK-25063.
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Resolution: Fixed
Assignee: Maryann Xue
Fix Version/s: 2.4.0
> Rename class KnowNotNull
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Thomas Graves commented on SPARK-23207:
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ok, I guess I disagree with that. Any cor
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Apache Spark commented on SPARK-25076:
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User 'cloud-fan' has created a pull request
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Apache Spark reassigned SPARK-25076:
Assignee: Wenchen Fan (was: Apache Spark)
> SQLConf should not be retrieved from a stopp
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Apache Spark reassigned SPARK-25076:
Assignee: Apache Spark (was: Wenchen Fan)
> SQLConf should not be retrieved from a stopp
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https://issues.apache.org/jira/browse/SPARK-24502?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16574908#comment-16574908
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Wenchen Fan commented on SPARK-24502:
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There is no resource leakage. Users need to m
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https://issues.apache.org/jira/browse/SPARK-23207?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16574903#comment-16574903
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Jiang Xingbo commented on SPARK-23207:
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This affects the 2.2 and lower versions, th
Wenchen Fan created SPARK-25076:
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Summary: SQLConf should not be retrieved from a stopped
SparkSession
Key: SPARK-25076
URL: https://issues.apache.org/jira/browse/SPARK-25076
Project: Spark
Is
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Thomas Graves commented on SPARK-23207:
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[~jiangxb1987] ^
> Shuffle+Repartition o
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https://issues.apache.org/jira/browse/SPARK-25073?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16574864#comment-16574864
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Sujith commented on SPARK-25073:
Seems to be you are right, Message is bit misleading to
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https://issues.apache.org/jira/browse/SPARK-25044?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16574841#comment-16574841
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Sean Owen commented on SPARK-25044:
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I tried this – it's not hard – but the implementa
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https://issues.apache.org/jira/browse/SPARK-25075?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16574839#comment-16574839
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Guillaume Massé commented on SPARK-25075:
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Scala 2.13 is currently in the milest
Guillaume Massé created SPARK-25075:
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Summary: Build and test Spark against Scala 2.13
Key: SPARK-25075
URL: https://issues.apache.org/jira/browse/SPARK-25075
Project: Spark
Issue Type: Umb
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https://issues.apache.org/jira/browse/SPARK-25047?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-25047.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 22032
[https://github.c
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https://issues.apache.org/jira/browse/SPARK-25047?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen reassigned SPARK-25047:
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Assignee: Sean Owen
> Can't assign SerializedLambda to scala.Function1 in deserialization of
>
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https://issues.apache.org/jira/browse/SPARK-25073?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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vivek kumar updated SPARK-25073:
Description:
When the yarn.nodemanager.resource.memory-mb and/or
yarn.scheduler.maximum-allocatio
Jiang Xingbo created SPARK-25074:
Summary: Implement maxNumConcurrentTasks() in
MesosFineGrainedSchedulerBackend
Key: SPARK-25074
URL: https://issues.apache.org/jira/browse/SPARK-25074
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-23415?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan reassigned SPARK-23415:
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Assignee: Kazuaki Ishizaki
> BufferHolderSparkSubmitSuite is flaky
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Wenchen Fan resolved SPARK-23415.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 20636
[https://gith
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Johannes Zillmann commented on SPARK-12449:
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I'm a bit confused. Reading
http
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