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Apache Spark reassigned SPARK-26763:
Assignee: (was: Apache Spark)
> Using fileStatus cache when filterPartitions
> --
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Apache Spark reassigned SPARK-26763:
Assignee: Apache Spark
> Using fileStatus cache when filterPartitions
> -
Xianyang Liu created SPARK-26763:
Summary: Using fileStatus cache when filterPartitions
Key: SPARK-26763
URL: https://issues.apache.org/jira/browse/SPARK-26763
Project: Spark
Issue Type: Impr
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shahid edited comment on SPARK-26760 at 1/29/19 6:37 AM:
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[~abhi
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shahid commented on SPARK-26760:
[~abhishek.akg] I would like to work on it, if no one i
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ABHISHEK KUMAR GUPTA updated SPARK-26760:
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Summary: [Spark Incorrect display in YARN UI Executor Tab when number of
cores i
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ABHISHEK KUMAR GUPTA updated SPARK-26758:
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Attachment: SPARK-26758.png
> Idle Executors are not getting killed after
> spa
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ABHISHEK KUMAR GUPTA updated SPARK-26760:
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Attachment: SPARK-26760.png
> [Spark Race condition when number of cores is 4 an
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Hyukjin Kwon commented on SPARK-26759:
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cc [~felixcheung], [~shivaram], [~bryanc],
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Hyukjin Kwon commented on SPARK-26761:
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I'm working on this.
> Arrow optimization
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Hyukjin Kwon reassigned SPARK-26566:
Assignee: Bryan Cutler
> Upgrade apache/arrow to 0.12.0
> --
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Hyukjin Kwon resolved SPARK-26566.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 23657
[https://gi
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sandeep katta commented on SPARK-26758:
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I would like to check this issue and fix
Hyukjin Kwon created SPARK-26762:
Summary: Arrow optimization for conversion from Spark DataFrame to
R DataFrame
Key: SPARK-26762
URL: https://issues.apache.org/jira/browse/SPARK-26762
Project: Spark
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Hyukjin Kwon commented on SPARK-26752:
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As you described, workaround is pretty easy
Hyukjin Kwon created SPARK-26761:
Summary: Arrow optimization in native R function execution at
gapply
Key: SPARK-26761
URL: https://issues.apache.org/jira/browse/SPARK-26761
Project: Spark
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Hyukjin Kwon updated SPARK-26759:
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Component/s: SQL
> Arrow optimization in SparkR's interoperability
> ---
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Hyukjin Kwon updated SPARK-25981:
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Issue Type: Sub-task (was: Improvement)
Parent: SPARK-26759
> Arrow optimization for co
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Hyukjin Kwon commented on SPARK-26739:
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So, is it just to propose constant variable
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Hyukjin Kwon updated SPARK-26746:
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Description:
When we turn on the {{spark.sql.adaptive.enabled}} switch, the following
actions t
ABHISHEK KUMAR GUPTA created SPARK-26760:
Summary: [Spark Race condition when number of cores is 4 and
Active Task display as 5 in Executor Tab of YARN UI]
Key: SPARK-26760
URL: https://issues.apache.org/j
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Hyukjin Kwon commented on SPARK-26758:
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Can you include UI screenshot to explain th
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Hyukjin Kwon updated SPARK-26758:
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Component/s: (was: Spark Shell)
YARN
> Idle Executors are not getting kille
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Hyukjin Kwon updated SPARK-26758:
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Summary: Idle Executors are not getting killed after
spark.dynamicAllocation.executorIdleTimeout
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Hyukjin Kwon updated SPARK-26758:
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Description:
Steps:
1. Submit Spark shell with below initial Executor 3, minimum Executor=0 and
Hyukjin Kwon created SPARK-26759:
Summary: Arrow optimization in SparkR's interoperability
Key: SPARK-26759
URL: https://issues.apache.org/jira/browse/SPARK-26759
Project: Spark
Issue Type: U
ABHISHEK KUMAR GUPTA created SPARK-26758:
Summary: [Idle Executors are not getting killed after
spark.dynamicAllocation.executorIdleTimeout value
Key: SPARK-26758
URL: https://issues.apache.org/jira/browse
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Apache Spark reassigned SPARK-26757:
Assignee: (was: Apache Spark)
> GraphX EdgeRDDImpl and VertexRDDImpl `count` method c
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Apache Spark reassigned SPARK-26757:
Assignee: Apache Spark
> GraphX EdgeRDDImpl and VertexRDDImpl `count` method cannot handl
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Huon Wilson updated SPARK-26757:
Priority: Minor (was: Major)
> GraphX EdgeRDDImpl and VertexRDDImpl `count` method cannot handle
Huon Wilson created SPARK-26757:
---
Summary: GraphX EdgeRDDImpl and VertexRDDImpl `count` method
cannot handle empty RDDs
Key: SPARK-26757
URL: https://issues.apache.org/jira/browse/SPARK-26757
Project: S
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Apache Spark reassigned SPARK-26756:
Assignee: Apache Spark
> Support session conf for thriftserver
>
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Apache Spark reassigned SPARK-26756:
Assignee: (was: Apache Spark)
> Support session conf for thriftserver
> -
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zhoukang updated SPARK-26756:
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Description:
We can add support for session conf.like:
{code:java}
set spark.sql.xxx.xxx=xxx
{code}
whi
zhoukang created SPARK-26756:
Summary: Support session conf for thriftserver
Key: SPARK-26756
URL: https://issues.apache.org/jira/browse/SPARK-26756
Project: Spark
Issue Type: Improvement
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liuxian updated SPARK-23516:
Description:
Now `StaticMemoryManager` mode has been removed.
And for `UnifiedMemoryManager`, unroll me
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Apache Spark reassigned SPARK-23516:
Assignee: (was: Apache Spark)
> I think it is unnecessary to transfer unroll memory t
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Apache Spark reassigned SPARK-23516:
Assignee: Apache Spark
> I think it is unnecessary to transfer unroll memory to storage m
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Hyukjin Kwon commented on SPARK-26748:
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That's fine. Let me leave this one resolved
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Hyukjin Kwon resolved SPARK-26748.
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Resolution: Duplicate
> CLONE - Autoencoder
> ---
>
> Key: SPA
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Takeshi Yamamuro commented on SPARK-26708:
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Yea, thanks for the answer!
> Inco
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liuxian reopened SPARK-23516:
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> I think it is unnecessary to transfer unroll memory to storage memory
> -
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liuxian updated SPARK-23516:
Description:
Now _StaticMemoryManager_ mode has been removed.
And for _UnifiedMemoryManager_, unroll mem
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liuxian updated SPARK-23516:
Affects Version/s: (was: 2.3.0)
3.0.0
> I think it is unnecessary to transfer u
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Maxim Gekk commented on SPARK-26651:
[~cloud_fan] [~hvanhovell] [~srowen] [~hyukjin.
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Sean Owen commented on SPARK-26651:
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You can just tag this with release-notes and add
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Apache Spark reassigned SPARK-26755:
Assignee: Apache Spark
> Optimize Spark Scheduler to dequeue speculative tasks more effic
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Apache Spark reassigned SPARK-26755:
Assignee: (was: Apache Spark)
> Optimize Spark Scheduler to dequeue speculative tasks
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Parth Gandhi updated SPARK-26755:
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Attachment: Screen Shot 2019-01-28 at 11.21.05 AM.png
> Optimize Spark Scheduler to dequeue spec
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Parth Gandhi updated SPARK-26755:
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Attachment: Screen Shot 2019-01-28 at 11.22.42 AM.png
> Optimize Spark Scheduler to dequeue spec
Parth Gandhi created SPARK-26755:
Summary: Optimize Spark Scheduler to dequeue speculative tasks
more efficiently
Key: SPARK-26755
URL: https://issues.apache.org/jira/browse/SPARK-26755
Project: Spark
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Parth Gandhi updated SPARK-26755:
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Attachment: Screen Shot 2019-01-28 at 11.21.25 AM.png
> Optimize Spark Scheduler to dequeue spec
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Apache Spark reassigned SPARK-26754:
Assignee: (was: Apache Spark)
> Add hasTrainingSummary to replace duplicate code in P
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Apache Spark reassigned SPARK-26754:
Assignee: Apache Spark
> Add hasTrainingSummary to replace duplicate code in PySpark
> --
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Huaxin Gao commented on SPARK-26754:
I will submit a PR soon. Thanks!
> Add hasTrai
Huaxin Gao created SPARK-26754:
--
Summary: Add hasTrainingSummary to replace duplicate code in
PySpark
Key: SPARK-26754
URL: https://issues.apache.org/jira/browse/SPARK-26754
Project: Spark
Issu
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Sanket Reddy commented on SPARK-25692:
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I had a few observations regarding this tes
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Dongjoon Hyun resolved SPARK-26747.
---
Resolution: Fixed
Assignee: Takeshi Yamamuro
Fix Version/s: 3.0.0
This is re
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Marcelo Vanzin reassigned SPARK-26595:
--
Assignee: Marcelo Vanzin
> Allow delegation token renewal without a keytab
>
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Marcelo Vanzin resolved SPARK-26595.
Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 23525
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Jungtaek Lim commented on SPARK-26154:
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[~tdas] [~zsxwing] [~joseph.torres]
Could w
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Dongjoon Hyun updated SPARK-26379:
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Fix Version/s: 2.3.3
> Use dummy TimeZoneId for CurrentTimestamp to avoid UnresolvedException
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Apache Spark reassigned SPARK-26753:
Assignee: (was: Apache Spark)
> Log4j customization not working for spark-shell
> ---
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Apache Spark reassigned SPARK-26753:
Assignee: Apache Spark
> Log4j customization not working for spark-shell
> --
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Nannan Yu commented on SPARK-21287:
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[~smilegator] Ok. Anything we should follow up to
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Xiao Li commented on SPARK-21287:
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[~bestcastor] Feel free to submit a PR
> Cannot use
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Nannan Yu commented on SPARK-21287:
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Do we have any following up for this issue? MySQL
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Xiao Li commented on SPARK-26708:
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I do not think this affects 2.3
> Incorrect result c
Ankur Gupta created SPARK-26753:
---
Summary: Log4j customization not working for spark-shell
Key: SPARK-26753
URL: https://issues.apache.org/jira/browse/SPARK-26753
Project: Spark
Issue Type: Bug
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shane knapp commented on SPARK-26731:
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uhhh... did [~Thatboix45] get hacked? i'm g
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shane knapp updated SPARK-26731:
Attachment: (was: activemq-cli-tools-4a984ec.tar.gz)
> remove EOLed spark jobs from jenkins
>
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shane knapp updated SPARK-26731:
Attachment: (was: LICENSE)
> remove EOLed spark jobs from jenkins
> --
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shane knapp updated SPARK-26722:
Attachment: (was: SPARK-26731.doc)
> Set SPARK_TEST_KEY to pull request builder and
> spark-m
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Marcelo Vanzin resolved SPARK-26432.
Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 23429
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Marcelo Vanzin reassigned SPARK-26432:
--
Assignee: Sujith
> Not able to connect Hbase 2.1 service Getting NoSuchMethodExceptio
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Skyler Lehan updated SPARK-26739:
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Description:
h3. *Q1.* What are you trying to do? Articulate your objectives using
absolutely n
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Sean Owen reassigned SPARK-26713:
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Assignee: Xianjin YE
> PipedRDD may holds stdin writer and stdout read threads even if the task
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Sean Owen resolved SPARK-26713.
---
Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 23638
[https://github.c
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Sean Owen reassigned SPARK-26651:
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Assignee: Maxim Gekk
> Use Proleptic Gregorian calendar
>
>
>
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Sean Owen reassigned SPARK-26719:
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Assignee: Maxim Gekk
> Get rid of java.util.Calendar in DateTimeUtils
> ---
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Sean Owen resolved SPARK-26719.
---
Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 23641
[https://github.c
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Wenchen Fan resolved SPARK-26700.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 23625
[https://gith
Guilherme Beltramini created SPARK-26752:
Summary: Multiple aggregate methods in the same column in DataFrame
Key: SPARK-26752
URL: https://issues.apache.org/jira/browse/SPARK-26752
Project: Sp
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Guilherme Beltramini updated SPARK-26752:
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Description:
The agg function in
[org.apache.spark.sql.RelationalGroupedDataset
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Herman van Hovell reassigned SPARK-26656:
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Assignee: Maxim Gekk
> Benchmark for date/time functions and expressions
>
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Herman van Hovell resolved SPARK-26656.
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Resolution: Fixed
Fix Version/s: 3.0.0
> Benchmark for date/time functions an
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https://issues.apache.org/jira/browse/SPARK-26709?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16753948#comment-16753948
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Takeshi Yamamuro commented on SPARK-26709:
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Resolved by https://github.com/apac
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zhoukang updated SPARK-26751:
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Description:
When we run in background and we get exception which is not HiveSQLException,
we may encoun
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Apache Spark reassigned SPARK-26751:
Assignee: (was: Apache Spark)
> HiveSessionImpl might have memory leak since Operatio
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Apache Spark reassigned SPARK-26751:
Assignee: Apache Spark
> HiveSessionImpl might have memory leak since Operation do not cl
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https://issues.apache.org/jira/browse/SPARK-26751?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhoukang updated SPARK-26751:
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Description:
When we run in background and we get exception which is not HiveSQLException,
we may encoun
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https://issues.apache.org/jira/browse/SPARK-26751?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhoukang updated SPARK-26751:
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Attachment: 26751.png
> HiveSessionImpl might have memory leak since Operation do not close properly
> -
zhoukang created SPARK-26751:
Summary: HiveSessionImpl might have memory leak since Operation do
not close properly
Key: SPARK-26751
URL: https://issues.apache.org/jira/browse/SPARK-26751
Project: Spark
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Apache Spark reassigned SPARK-26750:
Assignee: (was: Apache Spark)
> Estimate memory overhead should taking multi-cores in
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https://issues.apache.org/jira/browse/SPARK-26750?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-26750:
Assignee: Apache Spark
> Estimate memory overhead should taking multi-cores into account
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liupengcheng updated SPARK-26750:
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Summary: Estimate memory overhead should taking multi-cores into account
(was: Estimate memory
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Chris Bogan commented on SPARK-26748:
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My mistake I am terribly sorry
> CLONE - Aut
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Chang Quanyou commented on SPARK-26749:
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where is a mailing list?
> spark streami
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Hyukjin Kwon resolved SPARK-26738.
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Resolution: Invalid
> Pyspark random forest classifier feature importance with column names
>
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Hyukjin Kwon commented on SPARK-26738:
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Questions should go to mailing list. Let's
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