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Apache Spark reassigned SPARK-18886:
Assignee: (was: Apache Spark)
> Delay scheduling should not delay some executors
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Kazuaki Ishizaki commented on SPARK-18859:
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I think that this is an issue in join operation.
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gagan taneja commented on SPARK-18940:
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i am working on the fix. Should be able to make the changes
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gagan taneja updated SPARK-18940:
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Shepherd: Herman van Hovell
> Percentile and approximate percentile support for frequency
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Nattavut Sutyanyong commented on SPARK-18455:
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I have placed a link to the detailed design
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Apache Spark reassigned SPARK-18948:
Assignee: Apache Spark
> Add Mean Percentile Rank metric for ranking algorithms
>
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Apache Spark reassigned SPARK-18948:
Assignee: (was: Apache Spark)
> Add Mean Percentile Rank metric for ranking
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Apache Spark commented on SPARK-18948:
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User 'daniloascione' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-18874?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15764597#comment-15764597
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Nattavut Sutyanyong commented on SPARK-18874:
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Here is an initial version of the detailed
Danilo Ascione created SPARK-18948:
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Summary: Add Mean Percentile Rank metric for ranking algorithms
Key: SPARK-18948
URL: https://issues.apache.org/jira/browse/SPARK-18948
Project: Spark
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Sean Owen resolved SPARK-18910.
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Resolution: Duplicate
> Can't use UDF that jar file in hdfs
> ---
>
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Yuming Wang commented on SPARK-18910:
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This should be a duplicate of SPARK-12868.
> Can't use UDF
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Apache Spark reassigned SPARK-18947:
Assignee: Apache Spark (was: Wenchen Fan)
> SQLContext.tableNames should not call
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Apache Spark commented on SPARK-18947:
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User 'cloud-fan' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18947:
Assignee: Wenchen Fan (was: Apache Spark)
> SQLContext.tableNames should not call
Wenchen Fan created SPARK-18947:
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Summary: SQLContext.tableNames should not call Catalog.listTables
Key: SPARK-18947
URL: https://issues.apache.org/jira/browse/SPARK-18947
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-18359?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15764307#comment-15764307
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Sean Owen commented on SPARK-18359:
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They're similar, but this is about locale vs time zone.
> Let
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Hyukjin Kwon commented on SPARK-18359:
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Could this be resolved as a duplicate of SPARK-18937?
> Let
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https://issues.apache.org/jira/browse/SPARK-17838?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-17838:
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Assignee: Hyukjin Kwon
> Strict type checking for arguments with a better messages across APIs.
>
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Sean Owen resolved SPARK-17838.
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Resolution: Fixed
> Strict type checking for arguments with a better messages across APIs.
>
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Sean Owen updated SPARK-18738:
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Don't set Fix version.
Naively, in the EC case, there are fewer replicas of the data, right? is it
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Sean Owen resolved SPARK-18938.
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Resolution: Invalid
Fix Version/s: (was: 1.5.2)
Looks like maybe this was opened by
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Sean Owen updated SPARK-18859:
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Target Version/s: (was: 2.0.2)
> Catalyst codegen does not mark column as nullable when it should.
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Sean Owen updated SPARK-18669:
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Target Version/s: 2.1.1 (was: 2.1.0)
> Update Apache docs regard watermarking in Structured Streaming
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Sean Owen commented on SPARK-18946:
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I'm not sure what you're proposing as a fix though -- a big object
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zunwen you updated SPARK-18946:
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Summary: treeAggregate will be low effficiency when aggregate high
dimension vectors in ML algorithm
zunwen you created SPARK-18946:
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Summary: treeAggregate will be low effficiency when aggregate high
dimension vector in ML algorithm
Key: SPARK-18946
URL: https://issues.apache.org/jira/browse/SPARK-18946
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Sean Owen commented on SPARK-18926:
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I can't reproduce this on my laptop. I think this might be
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Sean Owen resolved SPARK-18944.
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Resolution: Invalid
Questions belong on u...@spark.apache.org
> Understanding
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Nira Amit edited comment on SPARK-18945 at 12/20/16 1:03 PM:
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There's a bug
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Nira Amit closed SPARK-18945.
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Resolution: Not A Problem
There's a bug in my code
> java.lang.ClassCastException when Tuple2 field is
Nira Amit created SPARK-18945:
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Summary: java.lang.ClassCastException when Tuple2 field is an array
Key: SPARK-18945
URL: https://issues.apache.org/jira/browse/SPARK-18945
Project: Spark
Issue
David Hodeffi created SPARK-18944:
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Summary: Understanding BroadcastNestedLoopJoin and number of
partitions
Key: SPARK-18944
URL: https://issues.apache.org/jira/browse/SPARK-18944
Project: Spark
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Apache Spark reassigned SPARK-18943:
Assignee: Apache Spark
> Avoid per-record type dispatch in CSV when reading
>
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Apache Spark reassigned SPARK-18943:
Assignee: (was: Apache Spark)
> Avoid per-record type dispatch in CSV when reading
>
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Apache Spark commented on SPARK-18943:
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User 'HyukjinKwon' has created a pull request for this
Hyukjin Kwon created SPARK-18943:
Summary: Avoid per-record type dispatch in CSV when reading
Key: SPARK-18943
URL: https://issues.apache.org/jira/browse/SPARK-18943
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-16845?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-16845:
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Comment: was deleted
(was: I am currently out of office, and will be back on Monday, 5th of
December,
Takeshi Yamamuro created SPARK-18942:
Summary: Support output operations for kinesis
Key: SPARK-18942
URL: https://issues.apache.org/jira/browse/SPARK-18942
Project: Spark
Issue Type:
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Herman van Hovell updated SPARK-18940:
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Description:
I have a frequency distribution table with following entries
{noformat}
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Herman van Hovell commented on SPARK-18940:
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I like this idea.
We can maintain Hive
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Herman van Hovell edited comment on SPARK-18940 at 12/20/16 11:31 AM:
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Apache Spark commented on SPARK-18700:
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User 'xuanyuanking' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-18878?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15763835#comment-15763835
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Hyukjin Kwon commented on SPARK-18878:
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Yup, and I think I figured this out -
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luat updated SPARK-18941:
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Description: Spark thrift server, Spark 2.0.2, The "drop table" command
doesn't delete the directory associated
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luat updated SPARK-18941:
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Summary: Spark2-HiveThriftServer2, Spark 2.0, The "drop table" command
doesn't delete the directory associated
luat created SPARK-18941:
Summary: Spark2-HiveThriftServer2, Spark 2.0, The "drop table"
command doesn't delete the directory associated with the table from the file
system
Key: SPARK-18941
URL:
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Sean Owen resolved SPARK-18881.
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Resolution: Duplicate
> Spark never finishes jobs and stages, JobProgressListener fails
>
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Sean Owen resolved SPARK-18933.
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Resolution: Invalid
This sounds like a question, which should go to user@.
It sounds like you have a
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Mathieu D updated SPARK-18881:
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Description:
We have a Spark application that process continuously a lot of incoming jobs.
Several
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Mathieu D commented on SPARK-18883:
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The problem does not appear with
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Alex DeCastro commented on SPARK-18926:
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Hi [~dongjoon], thanks for the swift follow-up. Not all
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Liang-Chi Hsieh updated SPARK-18800:
Issue Type: Improvement (was: Bug)
> Correct the assert in UnsafeKVExternalSorter which
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Liang-Chi Hsieh updated SPARK-18800:
Description:
UnsafeKVExternalSorter uses UnsafeInMemorySorter to sort the records of
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Liang-Chi Hsieh updated SPARK-18800:
Summary: Correct the assert in UnsafeKVExternalSorter which ensures array
size (was:
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Yanbo Liang commented on SPARK-18710:
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We can add a new class for GLR instance(named as
gagan taneja created SPARK-18940:
Summary: Percentile and approximate percentile support for
frequency distribution table
Key: SPARK-18940
URL: https://issues.apache.org/jira/browse/SPARK-18940
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