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Shixiong Zhu updated SPARK-19874:
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Priority: Minor (was: Major)
> Hide API docs for "org.apache.spark.sql.internal"
>
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Shixiong Zhu reassigned SPARK-19540:
Assignee: Kunal Khamar
> Add ability to clone SparkSession with an identical copy of the
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Shixiong Zhu resolved SPARK-19540.
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Resolution: Fixed
Fix Version/s: 2.2.0
> Add ability to clone SparkSession with an
Shixiong Zhu created SPARK-19874:
Summary: Hide API docs for "org.apache.spark.sql.internal"
Key: SPARK-19874
URL: https://issues.apache.org/jira/browse/SPARK-19874
Project: Spark
Issue
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Shixiong Zhu updated SPARK-19858:
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Affects Version/s: (was: 2.1.1)
> Add output mode to flatMapGroupsWithState and disallow
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Shixiong Zhu resolved SPARK-19858.
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Resolution: Fixed
Fix Version/s: 2.2.0
> Add output mode to flatMapGroupsWithState and
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Shixiong Zhu updated SPARK-19413:
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Fix Version/s: (was: 2.1.1)
> Basic mapGroupsWithState API
>
>
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Shixiong Zhu commented on SPARK-19413:
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Reverted the patch from branch 2.1. This feature will not go
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Shixiong Zhu updated SPARK-19413:
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Target Version/s: 2.2.0 (was: 2.1.1, 2.2.0)
> Basic mapGroupsWithState API
>
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Shixiong Zhu updated SPARK-19858:
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Issue Type: Sub-task (was: Improvement)
Parent: SPARK-19067
> Add output mode to
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Shixiong Zhu updated SPARK-19858:
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Affects Version/s: 2.1.1
> Add output mode to flatMapGroupsWithState and disallow invalid cases
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Shixiong Zhu updated SPARK-19481:
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Fix Version/s: 2.0.3
> Fix flaky test: o.a.s.repl.ReplSuite should clone and clean line object
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Shixiong Zhu resolved SPARK-19859.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
> The new watermark
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Shixiong Zhu resolved SPARK-19841.
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Resolution: Fixed
Fix Version/s: 2.2.0
> StreamingDeduplicateExec.watermarkPredicate
Shixiong Zhu created SPARK-19859:
Summary: The new watermark should override the old one
Key: SPARK-19859
URL: https://issues.apache.org/jira/browse/SPARK-19859
Project: Spark
Issue Type:
Shixiong Zhu created SPARK-19858:
Summary: Add output mode to flatMapGroupsWithState and disallow
invalid cases
Key: SPARK-19858
URL: https://issues.apache.org/jira/browse/SPARK-19858
Project: Spark
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Shixiong Zhu updated SPARK-19853:
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Target Version/s: 2.2.0
> Uppercase Kafka topics fail when startingOffsets are SpecificOffsets
>
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Shixiong Zhu commented on SPARK-19764:
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So you don't set an UncaughtExceptionHandler and this OOM
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Shixiong Zhu updated SPARK-19851:
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Component/s: (was: Spark Core)
> Add support for EVERY and ANY (SOME) aggregates
>
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Shixiong Zhu commented on SPARK-19764:
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[~agesher] Do you have the OOM stack trace? So that we can
Shixiong Zhu created SPARK-19841:
Summary: StreamingDeduplicateExec.watermarkPredicate should filter
rows based on keys
Key: SPARK-19841
URL: https://issues.apache.org/jira/browse/SPARK-19841
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Shixiong Zhu commented on SPARK-19831:
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Cores running in the receive method should be quick. If
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Shixiong Zhu resolved SPARK-19822.
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Resolution: Fixed
Assignee: Genmao Yu
Fix Version/s: 2.2.0
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Shixiong Zhu updated SPARK-19798:
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Component/s: (was: Spark Core)
SQL
> Query returns stale results when
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Shixiong Zhu updated SPARK-19821:
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Priority: Minor (was: Major)
> Throw out the Read-only disk information when create file for
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Shixiong Zhu commented on SPARK-19821:
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This is more like a Java issue.
> Throw out the Read-only
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Shixiong Zhu updated SPARK-19816:
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Affects Version/s: (was: 2.2.0)
> DataFrameCallbackSuite doesn't recover the log level
>
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Shixiong Zhu updated SPARK-19816:
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Affects Version/s: 2.1.0
> DataFrameCallbackSuite doesn't recover the log level
>
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Shixiong Zhu resolved SPARK-19718.
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Resolution: Fixed
Assignee: Shixiong Zhu
Fix Version/s: 2.2.0
> Fix flaky
Shixiong Zhu created SPARK-19816:
Summary: DataFrameCallbackSuite doesn't recover the log level
Key: SPARK-19816
URL: https://issues.apache.org/jira/browse/SPARK-19816
Project: Spark
Issue
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Shixiong Zhu resolved SPARK-19774.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
> StreamExecution
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Shixiong Zhu reassigned SPARK-19779:
Assignee: Feng Gui
> structured streaming exist needless tmp file
>
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Shixiong Zhu resolved SPARK-19779.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
2.0.3
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Shixiong Zhu updated SPARK-19779:
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Affects Version/s: 2.1.1
2.0.3
> structured streaming exist needless tmp
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Shixiong Zhu updated SPARK-19779:
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Affects Version/s: (was: 2.1.0)
2.2.0
> structured streaming exist
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Shixiong Zhu edited comment on SPARK-19788 at 3/2/17 7:04 AM:
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I remember
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Shixiong Zhu commented on SPARK-19788:
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I remember that we want to support both Scala and Python. If
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Shixiong Zhu commented on SPARK-19768:
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Yeah, just recalled that I fixed the error message in
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Shixiong Zhu resolved SPARK-19633.
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Resolution: Fixed
Assignee: Liwei Lin
Fix Version/s: 2.2.0
> FileSource read
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Shixiong Zhu commented on SPARK-19768:
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It should work for both aggregate and non-aggregate queries,
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Shixiong Zhu commented on SPARK-19764:
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These are master and workers. From the master log, you are
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Shixiong Zhu commented on SPARK-19764:
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[~agesher] driver-log-stderr.log is actually the executor
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Shixiong Zhu updated SPARK-19772:
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Component/s: (was: Structured Streaming)
DStreams
> Flaky test:
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Shixiong Zhu commented on SPARK-19767:
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Make sure you installed all required libraries in
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Shixiong Zhu commented on SPARK-19767:
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You can use {{SKIP_API=1 jekyll build}} to build the docs. I
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Shixiong Zhu updated SPARK-19617:
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Comment: was deleted
(was: User 'gf53520' has created a pull request for this issue:
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Shixiong Zhu resolved SPARK-19645.
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Resolution: Duplicate
> structured streaming job restart bug
>
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Shixiong Zhu updated SPARK-19677:
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Affects Version/s: 2.0.0
2.0.1
2.0.2
>
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Shixiong Zhu resolved SPARK-19677.
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Resolution: Fixed
Assignee: Roberto Agostino Vitillo
Fix Version/s: 2.2.0
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Shixiong Zhu resolved SPARK-19768.
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Resolution: Not A Bug
> Error for both aggregate and non-aggregate queries in Structured
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Shixiong Zhu commented on SPARK-19768:
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You are using the console sink which doesn't support
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Shixiong Zhu updated SPARK-19768:
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Issue Type: Question (was: Bug)
> Error for both aggregate and non-aggregate queries in
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Shixiong Zhu commented on SPARK-19738:
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[~gaaldornick] could you check if SPARK-18699 is enough? It
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Shixiong Zhu updated SPARK-19738:
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Component/s: SQL
> Consider adding error handler to DataStreamWriter
>
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Shixiong Zhu updated SPARK-19751:
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Component/s: (was: Spark Core)
SQL
> Create Data frame API fails with a
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Shixiong Zhu resolved SPARK-19749.
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Resolution: Fixed
Fix Version/s: 2.2.0
> Name socket source with a meaningful name
>
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Shixiong Zhu reassigned SPARK-19594:
Assignee: Eyal Zituny
> StreamingQueryListener fails to handle QueryTerminatedEvent if
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Shixiong Zhu resolved SPARK-19594.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
>
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Shixiong Zhu updated SPARK-19718:
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Description:
SPARK-19617 changed HDFSMetadataLog to enable interrupts when using the local
file
Shixiong Zhu created SPARK-19718:
Summary: Fix flaky test:
org.apache.spark.sql.kafka010.KafkaSourceStressForDontFailOnDataLossSuite:
stress test for failOnDataLoss=false
Key: SPARK-19718
URL:
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https://issues.apache.org/jira/browse/SPARK-19644?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15879397#comment-15879397
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Shixiong Zhu commented on SPARK-19644:
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[~deenbandhu] Do you use Scala 2.10 or Scala 2.11?
> Memory
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Shixiong Zhu resolved SPARK-19617.
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Resolution: Fixed
Fix Version/s: 2.1.1
> Fix the race condition when starting and
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Shixiong Zhu commented on SPARK-19675:
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Just to clarify one thing: Executors in your case will run
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Shixiong Zhu edited comment on SPARK-19675 at 2/22/17 1:59 AM:
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[~taroplus]
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Shixiong Zhu commented on SPARK-19675:
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[~taroplus] ExecutorClassLoader does try to load from its
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Shixiong Zhu edited comment on SPARK-19675 at 2/22/17 1:53 AM:
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[~taroplus]
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Shixiong Zhu commented on SPARK-19675:
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[~taroplus] Yeah, I should have checked `sbt run` with
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Shixiong Zhu updated SPARK-19675:
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Issue Type: Improvement (was: Bug)
> ExecutorClassLoader loads classes from SystemClassLoader
>
Shixiong Zhu created SPARK-19690:
Summary: Join a streaming DataFrame with a batch DataFrame may not
work
Key: SPARK-19690
URL: https://issues.apache.org/jira/browse/SPARK-19690
Project: Spark
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Shixiong Zhu edited comment on SPARK-19675 at 2/21/17 10:17 PM:
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Shixiong Zhu commented on SPARK-19675:
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[~taroplus] If I understand correctly, SBT launches your
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Shixiong Zhu updated SPARK-19617:
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Comment: was deleted
(was: User 'gf53520' has created a pull request for this issue:
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Shixiong Zhu updated SPARK-19680:
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Component/s: (was: Structured Streaming)
DStreams
> Offsets out of range
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Shixiong Zhu updated SPARK-19497:
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Labels: release_notes (was: )
> dropDuplicates with watermark
> -
>
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Shixiong Zhu updated SPARK-19617:
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Fix Version/s: 2.2.0
> Fix the race condition when starting and stopping a query quickly
>
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Shixiong Zhu commented on SPARK-19525:
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I see. This is RDD checkpointing. Sounds a good idea.
>
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Shixiong Zhu updated SPARK-19525:
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Component/s: (was: Structured Streaming)
Spark Core
> Enable Compression of
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Shixiong Zhu updated SPARK-19525:
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Summary: Enable Compression of RDD Checkpoints (was: Enable Compression of
Spark Streaming
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Shixiong Zhu commented on SPARK-19644:
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[~deenbandhu] Could you check the GC root, please? These
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Shixiong Zhu commented on SPARK-19525:
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Hm, Spark should support compression for data in RDD. Which
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Shixiong Zhu reassigned SPARK-19517:
Assignee: Roberto Agostino Vitillo
> KafkaSource fails to initialize partition offsets
>
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Shixiong Zhu resolved SPARK-19517.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
> KafkaSource fails to
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Shixiong Zhu commented on SPARK-19645:
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[~guifengl...@gmail.com] Thanks for reporting. Could you
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Shixiong Zhu commented on SPARK-19497:
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[~samelamin] Thanks! I just submitted a PR. Could you help
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Shixiong Zhu updated SPARK-19628:
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Component/s: (was: Spark Core)
SQL
> Duplicate Spark jobs in 2.1.0
>
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https://issues.apache.org/jira/browse/SPARK-19617?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu updated SPARK-19617:
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Description:
The streaming thread in StreamExecution uses the following ways to check if it
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https://issues.apache.org/jira/browse/SPARK-19617?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu updated SPARK-19617:
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Summary: Fix the race condition when starting and stopping a query quickly
(was: Fix a case
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https://issues.apache.org/jira/browse/SPARK-19603?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu resolved SPARK-19603.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
> Fix StreamingQuery
Shixiong Zhu created SPARK-19617:
Summary: Fix a case that a query may not stop due to HADOOP-14084
Key: SPARK-19617
URL: https://issues.apache.org/jira/browse/SPARK-19617
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-19599?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu resolved SPARK-19599.
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Resolution: Fixed
Assignee: Shixiong Zhu
Fix Version/s: 2.2.0
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https://issues.apache.org/jira/browse/SPARK-19599?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu updated SPARK-19599:
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Description:
SPARK-19464 removed support for Hadoop 2.5 and earlier, so we can do some
cleanup
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https://issues.apache.org/jira/browse/SPARK-19599?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu updated SPARK-19599:
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Description:
SPARK-19464 removed support for Hadoop 2.5 and earlier, so we can do some
cleanup
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https://issues.apache.org/jira/browse/SPARK-19599?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu updated SPARK-19599:
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Description:
SPARK-19464 removed support for Hadoop 2.5 and earlier, so we can do some
cleanup
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https://issues.apache.org/jira/browse/SPARK-19599?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu updated SPARK-19599:
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Summary: Clean up HDFSMetadataLog (was: Clean up HDFSMetadataLog for
Hadoop 2.6+)
> Clean up
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https://issues.apache.org/jira/browse/SPARK-19599?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu updated SPARK-19599:
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Description:
SPARK-19464 removed support for Hadoop 2.5 and earlier, so we can do some
cleanup
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https://issues.apache.org/jira/browse/SPARK-19594?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15868469#comment-15868469
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Shixiong Zhu commented on SPARK-19594:
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I suggest that overriding "def postToAll(event: E)" and
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https://issues.apache.org/jira/browse/SPARK-17689?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15868466#comment-15868466
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Shixiong Zhu commented on SPARK-17689:
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Just curious: who created "_temporary"?
> _temporary files
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https://issues.apache.org/jira/browse/SPARK-19603?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu updated SPARK-19603:
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Summary: Fix StreamingQuery explain command (was: Fix the stream explain
command)
> Fix
Shixiong Zhu created SPARK-19603:
Summary: Fix the stream explain command
Key: SPARK-19603
URL: https://issues.apache.org/jira/browse/SPARK-19603
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-19593?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu updated SPARK-19593:
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Priority: Trivial (was: Critical)
> Records read per each kinesis transaction
>
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