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Sean Owen resolved SPARK-18645.
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Resolution: Fixed
Assignee: Yuming Wang
Fix Version/s: 2.1.0
Resolved by
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Sean Owen updated SPARK-18645:
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Fix Version/s: (was: 2.1.0)
2.1.1
> spark-daemon.sh arguments error lead to
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Hyukjin Kwon commented on SPARK-17213:
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It sounds we should disable the filters for string and
Wenchen Fan created SPARK-18674:
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Summary: improve the error message of natural join
Key: SPARK-18674
URL: https://issues.apache.org/jira/browse/SPARK-18674
Project: Spark
Issue Type:
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Apache Spark reassigned SPARK-18674:
Assignee: Apache Spark (was: Wenchen Fan)
> improve the error message of natural join
>
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Apache Spark commented on SPARK-18674:
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User 'cloud-fan' has created a pull request for this issue:
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Robert Kruszewski updated SPARK-17213:
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Affects Version/s: (was: 2.0.0)
2.1.0
> Parquet String
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Apache Spark reassigned SPARK-18674:
Assignee: Apache Spark (was: Wenchen Fan)
> improve the error message of natural join
>
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https://issues.apache.org/jira/browse/SPARK-16026?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15712012#comment-15712012
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Zhenhua Wang commented on SPARK-16026:
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[~rxin] Yes, I'll spend more time on CBO from this saturday.
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Apache Spark reassigned SPARK-18674:
Assignee: Wenchen Fan (was: Apache Spark)
> improve the error message of natural join
>
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Apache Spark reassigned SPARK-18674:
Assignee: Wenchen Fan (was: Apache Spark)
> improve the error message of natural join
>
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Sean Owen commented on SPARK-18650:
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I guess I'm surprised if the partitions are evaluated by multiple
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Takeshi Yamamuro updated SPARK-18620:
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Attachment: Apply_limit in_spark_with_my_patch.png
> Spark Streaming + Kinesis :
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Takeshi Yamamuro updated SPARK-18620:
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Attachment: Apply_limit in_vanilla_spark.png
> Spark Streaming + Kinesis : Receiver
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Sean Owen updated SPARK-18498:
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Assignee: Tyson Condie
> Clean up HDFSMetadataLog API for better testing
>
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Apache Spark reassigned SPARK-18675:
Assignee: Apache Spark (was: Wenchen Fan)
> CTAS for hive serde table should work for
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Wenchen Fan updated SPARK-18674:
Summary: improve the error message of using join (was: improve the error
message of natural join)
Wenchen Fan created SPARK-18675:
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Summary: CTAS for hive serde table should work for all hive
versions
Key: SPARK-18675
URL: https://issues.apache.org/jira/browse/SPARK-18675
Project: Spark
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Jork Zijlstra commented on SPARK-18269:
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Thanks for the quick response. Eagerly awaiting the spark
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Apache Spark reassigned SPARK-18374:
Assignee: Apache Spark
> Incorrect words in StopWords/english.txt
>
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Apache Spark commented on SPARK-18675:
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User 'cloud-fan' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18675:
Assignee: Wenchen Fan (was: Apache Spark)
> CTAS for hive serde table should work for
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https://issues.apache.org/jira/browse/SPARK-18586?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18586:
Assignee: (was: Apache Spark)
> netty-3.8.0.Final.jar has vulnerability CVE-2014-3488
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Apache Spark commented on SPARK-18586:
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User 'srowen' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18586:
Assignee: Apache Spark
> netty-3.8.0.Final.jar has vulnerability CVE-2014-3488 and
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Takeshi Yamamuro updated SPARK-18620:
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Attachment: Apply_no_limit.png
> Spark Streaming + Kinesis : Receiver MaxRate is
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Cody Koeninger commented on SPARK-18506:
Yes, amazon linux. No, not spark-ec2, just a spark
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Apache Spark reassigned SPARK-18475:
Assignee: Apache Spark
> Be able to provide higher parallelization for
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Apache Spark reassigned SPARK-18475:
Assignee: (was: Apache Spark)
> Be able to provide higher parallelization for
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Apache Spark commented on SPARK-18374:
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User 'hhbyyh' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18374:
Assignee: (was: Apache Spark)
> Incorrect words in StopWords/english.txt
>
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Cheng Lian commented on SPARK-17213:
Agree that we should disable string and binary filter push down
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Michael Allman updated SPARK-18676:
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Description:
Commit [c481bdf|https://github.com/apache/spark/commit/c481bdf] significantly
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Li Jin commented on SPARK-13534:
[~bryanc],
Allow me to introduce myself. I am Li Jin and I am working
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Reynold Xin updated SPARK-18617:
Fix Version/s: 2.0.3
> Close "kryo auto pick" feature for Spark Streaming
>
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Michael Allman commented on SPARK-18676:
cc [~davies] as author of
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Apache Spark commented on SPARK-18560:
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User 'zsxwing' has created a pull request for this issue:
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Apache Spark commented on SPARK-18617:
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User 'zsxwing' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17213?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17213:
Assignee: Apache Spark (was: Cheng Lian)
> Parquet String Pushdown for Non-Eq
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Dongjoon Hyun updated SPARK-18419:
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Affects Version/s: 2.0.2
> `JDBCRelation.insert` should not remove Spark options
>
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Dongjoon Hyun updated SPARK-18419:
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Description:
Currently, `JDBCRelation.insert` removes Spark options too early by mistakenly
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Dongjoon Hyun updated SPARK-18419:
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Description:
Currently, `JDBCRelation.insert` removes Spark options too early by mistakenly
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Sean Owen commented on SPARK-18419:
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[~dongjoon] given your comment on the PR, is this resolved?
> Fix
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Dongjoon Hyun commented on SPARK-18419:
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Sorry, I thought it's resolved.
But, when I tried to
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Herman van Hovell resolved SPARK-18674.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.3
> improve the
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Dongjoon Hyun updated SPARK-18419:
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Priority: Major (was: Minor)
> `JDBCRelation.insert` should not remove Spark options
>
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Dongjoon Hyun updated SPARK-18419:
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Summary: `JDBCRelation.insert` should not remove Spark options (was: Fix
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https://issues.apache.org/jira/browse/SPARK-9876?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian resolved SPARK-9876.
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Resolution: Fixed
Fix Version/s: 2.1.0
> Upgrade parquet-mr to 1.8.1
>
Michael Allman created SPARK-18676:
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Summary: Spark 2.x query plan data size estimation can crash join
queries versus 1.x
Key: SPARK-18676
URL: https://issues.apache.org/jira/browse/SPARK-18676
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Josh Rosen resolved SPARK-18553.
Resolution: Fixed
Fix Version/s: 1.6.4
> Executor loss may cause TaskSetManager to be
Ryan Blue created SPARK-18677:
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Summary: Json path implementation fails to parse ['key']
Key: SPARK-18677
URL: https://issues.apache.org/jira/browse/SPARK-18677
Project: Spark
Issue Type: Bug
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Cheng Lian reassigned SPARK-17213:
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Assignee: Cheng Lian
> Parquet String Pushdown for Non-Eq Comparisons Broken
>
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Apache Spark commented on SPARK-17213:
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User 'liancheng' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17213?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17213:
Assignee: Cheng Lian (was: Apache Spark)
> Parquet String Pushdown for Non-Eq
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Dongjoon Hyun closed SPARK-18641.
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Resolution: Invalid
I close this issue because the reported error message comes from Sentry
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Dongjoon Hyun updated SPARK-18642:
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Affects Version/s: 1.6.3
> Spark SQL: Catalyst is scanning undesired columns
>
Bjoern Toldbod created SPARK-18678:
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Summary: Skewed feature subsampling in Random forest
Key: SPARK-18678
URL: https://issues.apache.org/jira/browse/SPARK-18678
Project: Spark
Issue Type:
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Apache Spark reassigned SPARK-18670:
Assignee: Shixiong Zhu (was: Apache Spark)
> Limit the number of
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Apache Spark commented on SPARK-18670:
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User 'zsxwing' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-18677?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18677:
Assignee: Apache Spark
> Json path implementation fails to parse ['key']
>
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Joseph K. Bradley updated SPARK-18274:
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Target Version/s: 2.0.3, 2.1.0 (was: 2.0.3, 2.1.1, 2.2.0)
> Memory leak in PySpark
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Apache Spark commented on SPARK-18588:
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User 'zsxwing' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-18274?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-18274:
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Assignee: Sandeep Singh
> Memory leak in PySpark StringIndexer
>
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Joseph K. Bradley updated SPARK-18274:
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Shepherd: Joseph K. Bradley
> Memory leak in PySpark StringIndexer
>
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Joseph K. Bradley resolved SPARK-18274.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.0.3
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Apache Spark reassigned SPARK-18670:
Assignee: Apache Spark (was: Shixiong Zhu)
> Limit the number of
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Apache Spark reassigned SPARK-18677:
Assignee: (was: Apache Spark)
> Json path implementation fails to parse ['key']
>
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Apache Spark commented on SPARK-18677:
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User 'rdblue' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-18642?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15713081#comment-15713081
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Dongjoon Hyun commented on SPARK-18642:
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Thank you for reporting, [~mohitgargk].
It seems to be the
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Dongjoon Hyun commented on SPARK-18641:
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Thank you for reporting, [~zhangqw]
But, I'm wondering
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Joseph K. Bradley commented on SPARK-18618:
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[~yanboliang] Shall we get this into 2.1 as a fix
Eric Liang created SPARK-18679:
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Summary: Regression in file listing performance
Key: SPARK-18679
URL: https://issues.apache.org/jira/browse/SPARK-18679
Project: Spark
Issue Type: Bug
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Eric Liang updated SPARK-18679:
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Affects Version/s: 2.1.0
> Regression in file listing performance
>
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Eric Liang updated SPARK-18679:
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Component/s: SQL
> Regression in file listing performance
> --
>
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Joseph K. Bradley updated SPARK-18476:
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Comment: was deleted
(was: [~wangmiao1981]
This changes the output schema and is an
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Bryan Cutler commented on SPARK-13534:
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Hi [~icexelloss], that sounds great! We could definitely
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Heji Kim commented on SPARK-18506:
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Breaking news I finally found the source of the problem. Our
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Heji Kim updated SPARK-18506:
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Summary: kafka 0.10 with Spark 2.02 auto.offset.reset=earliest will only
read from a single partition on
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Miao Wang commented on SPARK-18476:
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spark.logit predict should output original label instead of a
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Joseph K. Bradley updated SPARK-18291:
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Attachment: SparkR2.1decisionoutputschemaforGLMs.pdf
I'm adding a little summary of
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Apache Spark commented on SPARK-18674:
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User 'gatorsmile' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-18131?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15713430#comment-15713430
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Miao Wang commented on SPARK-18131:
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I can try to follow this discussion for an initial PR.
> Support
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Joseph K. Bradley commented on SPARK-18476:
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[~wangmiao1981]
This changes the output schema and
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Joseph K. Bradley commented on SPARK-18291:
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I just saw the comment at the end of the PR and
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Apache Spark commented on SPARK-18538:
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User 'gatorsmile' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-18506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Heji Kim resolved SPARK-18506.
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Resolution: Not A Problem
Just another library incompatibilty issue. We just downgraded the
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Heji Kim updated SPARK-18506:
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Summary: kafka 0.10 with Spark 2.02 auto.offset.reset=earliest will only
read from a single partition on
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https://issues.apache.org/jira/browse/SPARK-18620?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15712392#comment-15712392
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Takeshi Yamamuro commented on SPARK-18620:
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I tried to fix this issue:
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cen yuhai updated SPARK-18665:
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Description:
I find that, some jobs are canceled, but the state are still "STARTED", I think
this bug
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https://issues.apache.org/jira/browse/SPARK-18141?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li resolved SPARK-18141.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15662
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https://issues.apache.org/jira/browse/SPARK-18681?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15713871#comment-15713871
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Liang-Chi Hsieh commented on SPARK-18681:
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Looks like you create two Jiras (SPARK-18680,
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https://issues.apache.org/jira/browse/SPARK-18620?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15713894#comment-15713894
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Takeshi Yamamuro commented on SPARK-18620:
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yea, I'll make a pr in a day
> Spark Streaming +
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https://issues.apache.org/jira/browse/SPARK-18679?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18679:
Assignee: Apache Spark
> Regression in file listing performance
>
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Apache Spark reassigned SPARK-18679:
Assignee: (was: Apache Spark)
> Regression in file listing performance
>
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https://issues.apache.org/jira/browse/SPARK-18679?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15713826#comment-15713826
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Apache Spark commented on SPARK-18679:
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User 'ericl' has created a pull request for this issue:
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cen yuhai updated SPARK-18665:
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Description:
I find that, some jobs are canceled, but the state are still "STARTED", I think
this bug
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https://issues.apache.org/jira/browse/SPARK-18665?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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cen yuhai updated SPARK-18665:
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Description:
I find that, some jobs are canceled, but the state are still "STARTED", I think
this bug
Krishna Gandra created SPARK-18684:
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Summary: Spark Executors off-heap memory usage keeps increasing
while running spark streaming
Key: SPARK-18684
URL: https://issues.apache.org/jira/browse/SPARK-18684
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https://issues.apache.org/jira/browse/SPARK-18684?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15713855#comment-15713855
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Krishna Gandra edited comment on SPARK-18684 at 12/2/16 3:02 AM:
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https://issues.apache.org/jira/browse/SPARK-18684?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15713855#comment-15713855
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Krishna Gandra commented on SPARK-18684:
Executor off-heap size is keep increasing and eventually
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