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Reynold Xin commented on SPARK-9213:
We just need to handle it in the analyzer to rewr
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Yadong Qi commented on SPARK-9213:
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I know, thanks!
> Improve regular expression perform
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Apache Spark reassigned SPARK-9961:
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Assignee: Apache Spark
> ML prediction abstractions should have defaultEvaluator fields
> ---
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Apache Spark commented on SPARK-9961:
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User 'mengxr' has created a pull request for th
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Apache Spark reassigned SPARK-9961:
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Assignee: (was: Apache Spark)
> ML prediction abstractions should have defaultEvaluator f
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Apache Spark commented on SPARK-9661:
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User 'mengxr' has created a pull request for th
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Xiangrui Meng reopened SPARK-9661:
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re-open for some clean-ups
> ML 1.5 QA: API: Java compatibility, docs
> ---
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Xiangrui Meng updated SPARK-9961:
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Comment: was deleted
(was: User 'mengxr' has created a pull request for this issue:
https://github
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Apache Spark reassigned SPARK-9899:
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Assignee: Apache Spark (was: Cheng Lian)
> JSON/Parquet writing on retry or speculation brok
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Apache Spark reassigned SPARK-9899:
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Assignee: Cheng Lian (was: Apache Spark)
> JSON/Parquet writing on retry or speculation brok
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Apache Spark commented on SPARK-9899:
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User 'liancheng' has created a pull request for
Saisai Shao created SPARK-9969:
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Summary: Remove old Yarn MR classpath api support for Spark Yarn
client
Key: SPARK-9969
URL: https://issues.apache.org/jira/browse/SPARK-9969
Project: Spark
Iss
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ding commented on SPARK-5556:
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The code can be found https://github.com/intel-analytics/TopicM
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Apache Spark reassigned SPARK-9969:
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Assignee: Apache Spark
> Remove old Yarn MR classpath api support for Spark Yarn client
> ---
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Apache Spark commented on SPARK-9969:
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User 'jerryshao' has created a pull request for
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Apache Spark reassigned SPARK-9969:
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Assignee: (was: Apache Spark)
> Remove old Yarn MR classpath api support for Spark Yarn c
Maciej Bryński created SPARK-9970:
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Summary: SQLContext.createDataFrame failed to properly determine
column names
Key: SPARK-9970
URL: https://issues.apache.org/jira/browse/SPARK-9970
Project: Spark
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Zhongshuai Pei commented on SPARK-9725:
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In my environment,"offset" did not change a
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Maciej Bryński updated SPARK-9970:
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Description:
Hi,
I'm trying to do "nested join" of tables.
After first join everything is ok, bu
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Maciej Bryński updated SPARK-9970:
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Description:
Hi,
I'm trying to do "nested join" of tables.
After first join everything is ok, bu
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Apache Spark commented on SPARK-6624:
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User 'yjshen' has created a pull request for th
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Apache Spark reassigned SPARK-6624:
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Assignee: (was: Apache Spark)
> Convert filters into CNF for data sources
> -
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Apache Spark reassigned SPARK-6624:
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Assignee: Apache Spark
> Convert filters into CNF for data sources
>
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Maciej Bryński updated SPARK-9970:
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Description:
Hi,
I'm trying to do "nested join" of tables.
After first join everything is ok, bu
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https://issues.apache.org/jira/browse/SPARK-9871?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14696706#comment-14696706
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Yu Ishikawa commented on SPARK-9871:
I think it would be better to deal with {{struct}
Frank Rosner created SPARK-9971:
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Summary: MaxFunction not working correctly with columns containing
Double.NaN
Key: SPARK-9971
URL: https://issues.apache.org/jira/browse/SPARK-9971
Project: Spark
xukun created SPARK-9973:
Summary: wrong buffle size
Key: SPARK-9973
URL: https://issues.apache.org/jira/browse/SPARK-9973
Project: Spark
Issue Type: Bug
Components: SQL
Reporte
Yu Ishikawa created SPARK-9972:
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Summary: Add `struct` function in SparkR
Key: SPARK-9972
URL: https://issues.apache.org/jira/browse/SPARK-9972
Project: Spark
Issue Type: Sub-task
Comp
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Frank Rosner updated SPARK-9971:
Priority: Minor (was: Major)
> MaxFunction not working correctly with columns containing Double.NaN
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Frank Rosner updated SPARK-9971:
Description:
h4. Problem Description
When using the {{max}} function on a {{DoubleType}} column tha
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xukun updated SPARK-9973:
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Description: allocate wrong buffer size (4+ size * columnType.defaultSize
* columnType.defaultSize), right buffer
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Apache Spark reassigned SPARK-9973:
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Assignee: Apache Spark
> wrong buffle size
> -
>
> Key: SPARK
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Apache Spark commented on SPARK-9973:
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User 'viper-kun' has created a pull request for
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Apache Spark reassigned SPARK-9973:
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Assignee: (was: Apache Spark)
> wrong buffle size
> -
>
>
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Sean Owen commented on SPARK-9971:
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My instinct is that this should in fact result in NaN
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Sean Owen commented on SPARK-9973:
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[~xukun] This would be more useful if you added a des
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Apache Spark reassigned SPARK-9871:
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Assignee: (was: Apache Spark)
> Add expression functions into SparkR which have a variabl
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Apache Spark reassigned SPARK-9871:
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Assignee: Apache Spark
> Add expression functions into SparkR which have a variable parameter
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Apache Spark commented on SPARK-9871:
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User 'yu-iskw' has created a pull request for t
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Frank Rosner commented on SPARK-9971:
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I would like to provide a patch to make the fol
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Sean Owen commented on SPARK-9971:
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Hey Frank as I say I don't think that's the correct a
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Frank Rosner edited comment on SPARK-9971 at 8/14/15 9:34 AM:
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Frank Rosner commented on SPARK-9971:
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[~srowen] I get your point. But given your "wei
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Sean Owen commented on SPARK-9971:
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My argument is being consistent with Java really, and
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Sean Owen resolved SPARK-9780.
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Resolution: Fixed
Assignee: Cody Koeninger
Fix Version/s: 1.5.0
> In case of invalid ini
Cheng Lian created SPARK-9974:
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Summary: SBT build: com.twitter:parquet-hadoop-bundle:1.6.0 is not
packaged into the assembly jar
Key: SPARK-9974
URL: https://issues.apache.org/jira/browse/SPARK-9974
Proj
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Cheng Lian updated SPARK-9974:
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Description:
One of the consequence of this issue is that Parquet tables created in Hive are
not access
Kenny Bastani created SPARK-9975:
Summary: Add Normalized Closeness Centrality to Spark GraphX
Key: SPARK-9975
URL: https://issues.apache.org/jira/browse/SPARK-9975
Project: Spark
Issue Type:
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Apache Spark reassigned SPARK-9975:
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Assignee: Apache Spark
> Add Normalized Closeness Centrality to Spark GraphX
> --
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Apache Spark commented on SPARK-9975:
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User 'kbastani' has created a pull request for
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Apache Spark reassigned SPARK-9975:
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Assignee: (was: Apache Spark)
> Add Normalized Closeness Centrality to Spark GraphX
> ---
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Sean Owen updated SPARK-8922:
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Assignee: Xiangrui Meng
> Add @since tags to mllib.evaluation
> ---
>
>
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Sean Owen updated SPARK-9726:
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Assignee: Brennan Ashton
> PySpark Regression: DataFrame join no longer accepts None as join expression
>
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Sean Owen updated SPARK-9826:
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Assignee: Michel Lemay
> Cannot use custom classes in log4j.properties
> -
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Sean Owen updated SPARK-9936:
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Assignee: Liang-Chi Hsieh
> decimal precision lost when loading DataFrame from RDD
> -
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Sean Owen updated SPARK-9931:
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Component/s: Tests
PySpark
> Flaky test: mllib/tests.py StreamingLogisticRegressionWithSG
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Sean Owen updated SPARK-9934:
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Component/s: Spark Core
> Deprecate NIO ConnectionManager
> ---
>
>
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Sean Owen updated SPARK-9878:
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Component/s: Spark Core
> ReduceByKey + FullOuterJoin return 0 element if using an empty RDD
> --
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Liang-Chi Hsieh closed SPARK-9637.
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Resolution: Duplicate
> Add interface for implementing scheduling algorithm for standalone deplo
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Sean Owen resolved SPARK-9396.
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Resolution: Won't Fix
This is fixed in 1.3+ by other changes; unless a decision is taken to make
anothe
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Apache Spark commented on SPARK-8118:
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User 'liancheng' has created a pull request for
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Michel Lemay closed SPARK-9826.
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Verified working with a local build of branch-1.4 (1.4.2-snapshot)
> Cannot use custom classes in log4j.p
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Frank Rosner commented on SPARK-9971:
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Ok so shall we close it as a wontfix?
> MaxFun
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Apache Spark reassigned SPARK-9906:
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Assignee: Manoj Kumar (was: Apache Spark)
> User guide for LogisticRegressionSummary
> -
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Apache Spark reassigned SPARK-9906:
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Assignee: Apache Spark (was: Manoj Kumar)
> User guide for LogisticRegressionSummary
> -
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Apache Spark commented on SPARK-9906:
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User 'MechCoder' has created a pull request for
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Sean Owen commented on SPARK-9971:
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I'd always prefer to leave it open at least ~1 week t
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Apache Spark reassigned SPARK-9974:
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Assignee: Apache Spark
> SBT build: com.twitter:parquet-hadoop-bundle:1.6.0 is not packaged i
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Apache Spark commented on SPARK-9974:
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User 'liancheng' has created a pull request for
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Apache Spark reassigned SPARK-9974:
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Assignee: (was: Apache Spark)
> SBT build: com.twitter:parquet-hadoop-bundle:1.6.0 is not
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Cheng Lian updated SPARK-6624:
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Assignee: Yijie Shen
> Convert filters into CNF for data sources
> -
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Apache Spark commented on SPARK-9966:
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User 'tdas' has created a pull request for this
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Apache Spark reassigned SPARK-9966:
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Assignee: Tathagata Das (was: Apache Spark)
> Handle a couple of corner cases in the PID rat
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Apache Spark reassigned SPARK-9966:
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Assignee: Apache Spark (was: Tathagata Das)
> Handle a couple of corner cases in the PID rat
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Apache Spark commented on SPARK-6624:
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User 'yjshen' has created a pull request for th
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Apache Spark commented on SPARK-8887:
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User 'yjshen' has created a pull request for th
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Apache Spark commented on SPARK-8670:
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User 'cloud-fan' has created a pull request for
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Maciej Bryński updated SPARK-9970:
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Priority: Major (was: Minor)
> SQLContext.createDataFrame failed to properly determine column n
cen yuhai created SPARK-9976:
Summary: create function do not work
Key: SPARK-9976
URL: https://issues.apache.org/jira/browse/SPARK-9976
Project: Spark
Issue Type: Bug
Components: SQL
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Apache Spark commented on SPARK-9955:
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User 'cloud-fan' has created a pull request for
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Apache Spark reassigned SPARK-9955:
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Assignee: Apache Spark (was: Wenchen Fan)
> TPCDS Q8 failed in 1.5
> --
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Apache Spark reassigned SPARK-9955:
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Assignee: Wenchen Fan (was: Apache Spark)
> TPCDS Q8 failed in 1.5
> --
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Apache Spark reassigned SPARK-9968:
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Assignee: Apache Spark (was: Tathagata Das)
> BlockGenerator lock structure can cause lock s
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Apache Spark reassigned SPARK-9968:
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Assignee: Tathagata Das (was: Apache Spark)
> BlockGenerator lock structure can cause lock s
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Apache Spark commented on SPARK-9968:
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User 'tdas' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-6624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14696988#comment-14696988
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Apache Spark commented on SPARK-6624:
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User 'yjshen' has created a pull request for th
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https://issues.apache.org/jira/browse/SPARK-9734?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14697003#comment-14697003
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Rama Mullapudi commented on SPARK-9734:
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Current 1.5 still gives error when creating
Kai Sasaki created SPARK-9977:
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Summary: The usage of a label generated by StringIndexer
Key: SPARK-9977
URL: https://issues.apache.org/jira/browse/SPARK-9977
Project: Spark
Issue Type: Improveme
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https://issues.apache.org/jira/browse/SPARK-9976?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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cen yuhai updated SPARK-9976:
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Description:
I use beeline to connect to ThriftServer, but add jar can not work, so I use
create function
Maciej Szymkiewicz created SPARK-9978:
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Summary: Window functions require partitionBy to work as expected
Key: SPARK-9978
URL: https://issues.apache.org/jira/browse/SPARK-9978
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-9978?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maciej Szymkiewicz updated SPARK-9978:
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Description:
I am trying to reproduce following SQL query:
{code}
df.registerTempTable(
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https://issues.apache.org/jira/browse/SPARK-9947?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14697098#comment-14697098
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Cody Koeninger commented on SPARK-9947:
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You already have access to offsets and can
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https://issues.apache.org/jira/browse/SPARK-9977?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-9977:
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Assignee: Apache Spark
> The usage of a label generated by StringIndexer
> --
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Apache Spark reassigned SPARK-9977:
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Assignee: (was: Apache Spark)
> The usage of a label generated by StringIndexer
> ---
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https://issues.apache.org/jira/browse/SPARK-9977?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14697104#comment-14697104
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Apache Spark commented on SPARK-9977:
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User 'Lewuathe' has created a pull request for
Jeff Palmucci created SPARK-9979:
Summary: Unable to request addition to "powered by spark"
Key: SPARK-9979
URL: https://issues.apache.org/jira/browse/SPARK-9979
Project: Spark
Issue Type: Bu
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https://issues.apache.org/jira/browse/SPARK-9947?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14697157#comment-14697157
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Dan Dutrow commented on SPARK-9947:
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The desire is to continue using checkpointing for e
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https://issues.apache.org/jira/browse/SPARK-9947?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14697166#comment-14697166
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Cody Koeninger commented on SPARK-9947:
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You can't re-use checkpoint data across app
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https://issues.apache.org/jira/browse/SPARK-9947?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14697180#comment-14697180
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Dan Dutrow commented on SPARK-9947:
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I want to maintain the data in updateStateByKey bet
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https://issues.apache.org/jira/browse/SPARK-9947?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14697193#comment-14697193
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Cody Koeninger commented on SPARK-9947:
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Didn't you already say that you were saving
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