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Takeshi Yamamuro commented on SPARK-20866:
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SPARK-18284 [~kiszk] fixed also reso
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Takeshi Yamamuro closed SPARK-20866.
Resolution: Fixed
Fix Version/s: 2.2.0
> Dataset map does not respect nullable field
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liuxian updated SPARK-20876:
Summary: If the input parameter is float type for ceil or floor ,the
result is not we expected (was: if t
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Hyukjin Kwon resolved SPARK-20879.
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Resolution: Invalid
I think this is an issue in https://github.com/databricks/spark-avro not wi
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Wenchen Fan resolved SPARK-20250.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.2
2.0.3
>
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Wenchen Fan reassigned SPARK-20250:
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Assignee: coneyliu
> Improper OOM error when a task been killed while spilling data
> --
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Hyukjin Kwon resolved SPARK-20878.
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Resolution: Not A Problem
I guess it compares a (casted by type coercion rule) string to a stri
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Wenchen Fan reassigned SPARK-19659:
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Assignee: jin xing
> Fetch big blocks to disk when shuffle-read
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Wenchen Fan resolved SPARK-19659.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 16989
[https://githu
Vinod KC created SPARK-20880:
Summary: When spark SQL is used with Avro-backed HIVE tables,
NPE from
org.apache.hadoop.hive.serde2.avro.AvroObjectInspectorGenerator.supportedCategories.
Key: SPARK-20880
URL: https:
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Vinod KC updated SPARK-20880:
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Description:
When spark SQL is used with Avro-backed HIVE tables, intermittently getting
NPE from
org
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zhengruifeng updated SPARK-14174:
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Attachment: MiniBatchKMeans_Performance_II.pdf
> Accelerate KMeans via Mini-Batch EM
> --
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zhengruifeng commented on SPARK-14174:
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[~mlnick] OK, I have updated the attached pe
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Nick Pentreath commented on SPARK-14174:
Yes, as one would expect. But the key re
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Sean Owen resolved SPARK-20834.
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Resolution: Not A Problem
> TypeCoercion:loss of precision when widening long and float,or int and fl
Zhenhua Wang created SPARK-20881:
Summary: Use Hive's stats in metastore when cbo is disabled
Key: SPARK-20881
URL: https://issues.apache.org/jira/browse/SPARK-20881
Project: Spark
Issue Type
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Apache Spark reassigned SPARK-20881:
Assignee: Apache Spark
> Use Hive's stats in metastore when cbo is disabled
>
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Apache Spark commented on SPARK-20881:
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User 'wzhfy' has created a pull request for
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Apache Spark reassigned SPARK-20881:
Assignee: (was: Apache Spark)
> Use Hive's stats in metastore when cbo is disabled
> -
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Hyukjin Kwon edited comment on SPARK-20878 at 5/25/17 9:51 AM:
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cen yuhai updated SPARK-20882:
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Attachment: executor_jstack
> Executor is waiting for ShuffleBlockFetcherIterator
> ---
cen yuhai created SPARK-20882:
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Summary: Executor is waiting for ShuffleBlockFetcherIterator
Key: SPARK-20882
URL: https://issues.apache.org/jira/browse/SPARK-20882
Project: Spark
Issue Type: Bug
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cen yuhai updated SPARK-20882:
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Attachment: screenshot-1.png
> Executor is waiting for ShuffleBlockFetcherIterator
> --
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cen yuhai updated SPARK-20882:
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Attachment: screenshot-2.png
> Executor is waiting for ShuffleBlockFetcherIterator
> --
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cen yuhai updated SPARK-20882:
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Attachment: executor_log
> Executor is waiting for ShuffleBlockFetcherIterator
> --
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cen yuhai updated SPARK-20882:
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Attachment: screenshot-3.png
> Executor is waiting for ShuffleBlockFetcherIterator
> --
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cen yuhai commented on SPARK-20882:
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[~zsxwing]
> Executor is waiting for ShuffleBlock
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cen yuhai updated SPARK-20882:
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Description:
This bug is like https://issues.apache.org/jira/browse/SPARK-19300.
but I have updated my
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Steve Loughran commented on SPARK-8578:
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Given SPARK-10063 has pulled the {{DirectPa
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Tathagata Das reassigned SPARK-20376:
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Assignee: Tathagata Das
> Make StateStoreProvider plugable
> ---
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Tathagata Das updated SPARK-20376:
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Target Version/s: 2.3.0
> Make StateStoreProvider plugable
>
>
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Apache Spark commented on SPARK-20754:
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User 'wangyum' has created a pull request fo
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Apache Spark reassigned SPARK-20754:
Assignee: Apache Spark
> Add Function Alias For MOD/TRUNCT/POSITION
>
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Apache Spark reassigned SPARK-20754:
Assignee: (was: Apache Spark)
> Add Function Alias For MOD/TRUNCT/POSITION
> -
Tathagata Das created SPARK-20883:
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Summary: Improve StateStore APIs for efficiency
Key: SPARK-20883
URL: https://issues.apache.org/jira/browse/SPARK-20883
Project: Spark
Issue Type: Improvem
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Sean Owen updated SPARK-20691:
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Labels: starter (was: )
> Difference between Storage Memory as seen internally and in web UI
> ---
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Apache Spark commented on SPARK-20883:
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User 'tdas' has created a pull request for t
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Apache Spark reassigned SPARK-20376:
Assignee: Apache Spark (was: Tathagata Das)
> Make StateStoreProvider plugable
>
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Apache Spark reassigned SPARK-20883:
Assignee: Tathagata Das (was: Apache Spark)
> Improve StateStore APIs for efficiency
> --
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Apache Spark commented on SPARK-20376:
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User 'tdas' has created a pull request for t
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Apache Spark reassigned SPARK-20883:
Assignee: Apache Spark (was: Tathagata Das)
> Improve StateStore APIs for efficiency
> --
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Apache Spark reassigned SPARK-20376:
Assignee: Tathagata Das (was: Apache Spark)
> Make StateStoreProvider plugable
>
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https://issues.apache.org/jira/browse/SPARK-19067?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16024602#comment-16024602
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Yuval Itzchakov commented on SPARK-19067:
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[~marmbrus] [~tdas]
Is there any reas
liuzhaokun created SPARK-20884:
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Summary: Spark' masters will be both standby due to the bug of
curator
Key: SPARK-20884
URL: https://issues.apache.org/jira/browse/SPARK-20884
Project: Spark
I
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Apache Spark commented on SPARK-20884:
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User 'liu-zhaokun' has created a pull reques
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Apache Spark reassigned SPARK-20884:
Assignee: (was: Apache Spark)
> Spark' masters will be both standby due to the bug of
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Apache Spark reassigned SPARK-20884:
Assignee: Apache Spark
> Spark' masters will be both standby due to the bug of curator
>
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Zhenhua Wang updated SPARK-20881:
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Description:
Currently statistics are generated by "analyze command" in Spark.
However, when us
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Antoine PRANG updated SPARK-18838:
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Attachment: perfResults.pdf
last timings
> High latency of event processing for large jobs
>
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Damian Momot updated SPARK-19293:
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Affects Version/s: 2.1.1
Component/s: Spark Core
Summary: Spark 2.1.x unst
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Damian Momot commented on SPARK-19293:
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>From what I can see speculative tasks are f
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Damian Momot edited comment on SPARK-19293 at 5/25/17 12:44 PM:
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Damian Momot edited comment on SPARK-19293 at 5/25/17 12:45 PM:
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Antoine PRANG commented on SPARK-18838:
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[~joshrosen]
I uploaded the new timings an
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Damian Momot edited comment on SPARK-19293 at 5/25/17 12:50 PM:
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Yanbo Liang resolved SPARK-20768.
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Resolution: Fixed
Fix Version/s: 2.2.0
> PySpark FPGrowth does not expose numPartitions (e
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Steve Loughran updated SPARK-20799:
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Priority: Minor (was: Major)
> Unable to infer schema for ORC on S3N when secrets are in the
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bing huang commented on SPARK-20879:
Thanks for reply
Is there any link to the issue
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Hyukjin Kwon commented on SPARK-20879:
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Not sure. Probably, https://github.com/datab
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bing huang commented on SPARK-20879:
Appreciate, thanks!
> Spark SQL will read Date
Peter Halverson created SPARK-20885:
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Summary: JDBC predicate pushdown uses hardcoded date format
Key: SPARK-20885
URL: https://issues.apache.org/jira/browse/SPARK-20885
Project: Spark
Issu
Steve Loughran created SPARK-20886:
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Summary: HadoopMapReduceCommitProtocol to fail with message if
FileOutputCommitter.getWorkPath==null
Key: SPARK-20886
URL: https://issues.apache.org/jira/browse/SPARK-20886
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Steve Loughran commented on SPARK-20886:
Stack trace: before
{code}
Driver stackt
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Steve Loughran commented on SPARK-20886:
Stack trace: after
{code}
2017-05-25 16:
Wenchen Fan created SPARK-20887:
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Summary: support alternative keys in ConfigBuilder
Key: SPARK-20887
URL: https://issues.apache.org/jira/browse/SPARK-20887
Project: Spark
Issue Type: Improveme
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Apache Spark commented on SPARK-20887:
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User 'cloud-fan' has created a pull request
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Apache Spark reassigned SPARK-20887:
Assignee: Apache Spark (was: Wenchen Fan)
> support alternative keys in ConfigBuilder
> -
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Apache Spark reassigned SPARK-20887:
Assignee: Wenchen Fan (was: Apache Spark)
> support alternative keys in ConfigBuilder
> -
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Apache Spark commented on SPARK-20886:
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User 'steveloughran' has created a pull requ
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Apache Spark reassigned SPARK-20886:
Assignee: (was: Apache Spark)
> HadoopMapReduceCommitProtocol to fail with message if
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Apache Spark reassigned SPARK-20886:
Assignee: Apache Spark
> HadoopMapReduceCommitProtocol to fail with message if
> FileOutp
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Sean Owen resolved SPARK-20741.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17986
[https://github.co
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Sean Owen reassigned SPARK-20741:
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Assignee: Lior Regev
Issue Type: Improvement (was: Bug)
> SparkSubmit does not clean up a
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Michael Allman commented on SPARK-20843:
[~rxin] I'd like to bump this to "Critic
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Reynold Xin commented on SPARK-20843:
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cc [~joshrosen] and [~marmbrus]
> Cannot grac
Michael Allman created SPARK-20888:
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Summary: Document HiveCaseSensitiveInferenceMode.INFER_AND_SAVE in
Spark SQL 2.1 to 2.2 migration notes
Key: SPARK-20888
URL: https://issues.apache.org/jira/browse/SPARK-20888
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Michael Allman commented on SPARK-20888:
I will work on a PR for this and try to
Wayne Zhang created SPARK-20889:
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Summary: SparkR grouped documentation for Column methods
Key: SPARK-20889
URL: https://issues.apache.org/jira/browse/SPARK-20889
Project: Spark
Issue Type: Imp
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Apache Spark commented on SPARK-20889:
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User 'actuaryzhang' has created a pull reque
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Apache Spark reassigned SPARK-20889:
Assignee: (was: Apache Spark)
> SparkR grouped documentation for Column methods
>
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Apache Spark reassigned SPARK-20889:
Assignee: Apache Spark
> SparkR grouped documentation for Column methods
> ---
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Felix Cheung updated SPARK-20889:
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Labels: documentation (was: )
> SparkR grouped documentation for Column methods
> --
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Felix Cheung updated SPARK-20889:
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Issue Type: Documentation (was: Improvement)
> SparkR grouped documentation for Column methods
>
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Shixiong Zhu updated SPARK-20874:
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Fix Version/s: 2.2.0
2.1.2
> The "examples" project doesn't depend on Structur
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Shixiong Zhu updated SPARK-20874:
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Affects Version/s: 2.2.0
> The "examples" project doesn't depend on Structured Streaming Kafka so
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Shixiong Zhu resolved SPARK-20874.
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Resolution: Fixed
> The "examples" project doesn't depend on Structured Streaming Kafka source
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Apache Spark commented on SPARK-20888:
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User 'mallman' has created a pull request fo
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Apache Spark reassigned SPARK-20888:
Assignee: Apache Spark
> Document HiveCaseSensitiveInferenceMode.INFER_AND_SAVE in Spark S
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Apache Spark reassigned SPARK-20888:
Assignee: (was: Apache Spark)
> Document HiveCaseSensitiveInferenceMode.INFER_AND_SAVE
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cen yuhai updated SPARK-20882:
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Description:
This bug is like https://issues.apache.org/jira/browse/SPARK-19300.
but I have updated my
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Shixiong Zhu commented on SPARK-20882:
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[~cenyuhai] are you using shuffle service?
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cen yuhai updated SPARK-20882:
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Description:
This bug is like https://issues.apache.org/jira/browse/SPARK-19300.
but I have updated my
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https://issues.apache.org/jira/browse/SPARK-20882?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16025377#comment-16025377
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Shixiong Zhu commented on SPARK-20882:
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NVM. I saw NettyBlockTransferService in the
Ruben Janssen created SPARK-20890:
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Summary: Add min and max functions for dataset aggregation
Key: SPARK-20890
URL: https://issues.apache.org/jira/browse/SPARK-20890
Project: Spark
Issue Typ
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Apache Spark commented on SPARK-20890:
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User 'setjet' has created a pull request for
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Apache Spark reassigned SPARK-20890:
Assignee: (was: Apache Spark)
> Add min and max functions for dataset aggregation
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Apache Spark reassigned SPARK-20890:
Assignee: Apache Spark
> Add min and max functions for dataset aggregation
> -
Ruben Janssen created SPARK-20891:
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Summary: Reduce duplicate code in typedaggregators.scala
Key: SPARK-20891
URL: https://issues.apache.org/jira/browse/SPARK-20891
Project: Spark
Issue Type:
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Ruben Janssen commented on SPARK-20891:
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Working on this, waiting for SPARK-20890 t
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Ruben Janssen edited comment on SPARK-20411 at 5/25/17 9:19 PM:
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