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Jonathan Taws commented on SPARK-15917:
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Any thoughts on the current behaviour and
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Yanbo Liang commented on SPARK-16260:
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[~wangmiao1981] [~bryanc] I left this JIRA ope
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Sean Owen commented on SPARK-16357:
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I'd expect things to go slower with encryption ena
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Yanbo Liang updated SPARK-16307:
Assignee: Manoj Kumar
> Improve testing for DecisionTree variances
> --
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zeweichen updated SPARK-16357:
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Description:
We use TPCx-BB(BigBench) to evaluate the performance of Spark shuffle RPC
encryption in o
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zeweichen updated SPARK-16357:
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Description:
We use TPCx-BB(BigBench) to evaluate the performance of Spark shuffle RPC
encryption in o
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Wenchen Fan updated SPARK-16358:
Assignee: Xiao Li
> Remove InsertIntoHiveTable From Logical Plan
>
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Wenchen Fan resolved SPARK-16358.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14037
[https://githu
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zeweichen updated SPARK-16357:
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Description:
We use TPCx-BB(BigBench) to evaluate the performance of Spark shuffle RPC
encryption.
Du
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zeweichen updated SPARK-16357:
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Environment:
Apache Spark 1.6.1
TPCx-BB 1.0.1
jdk 1.7
was:
Apache Spark 1.6.1
TPCx-BB 1.0.1
jdk 1.
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zeweichen updated SPARK-16357:
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Environment:
Apache Spark 1.6.1
TPCx-BB 1.0.1
jdk 1.8.0_73
was:
Apache Spark 1.6.1
BigBench 1.0.1
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zeweichen updated SPARK-16357:
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Description:
We use TPCx-BB
During our performance test of Spark shuffle RPC encryption using 3DES on
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zeweichen updated SPARK-16357:
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Environment:
Apache Spark 1.6.1
BigBench 1.0.1
jdk 1.8.0_73
was:
Apache Spark 1.6.1
BigBench 1.0.1
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zeweichen updated SPARK-16357:
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Summary: After enabling Spark shuffle RPC encryption using 3DES, Sparksql
query has poor performance wh
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zeweichen updated SPARK-16357:
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Fix Version/s: (was: 2.1.0)
> After enabling Spark shuffle RPC encryption using 3DES, Sparksql quer
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Apache Spark commented on SPARK-15598:
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User 'techaddict' has created a pull request
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https://issues.apache.org/jira/browse/SPARK-16329?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15360837#comment-15360837
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Apache Spark commented on SPARK-16329:
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User 'gatorsmile' has created a pull request
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Apache Spark reassigned SPARK-16359:
Assignee: Apache Spark
> unidoc workaround for multiple kafka versions
> -
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Apache Spark commented on SPARK-16359:
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User 'koeninger' has created a pull request
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Apache Spark reassigned SPARK-16359:
Assignee: (was: Apache Spark)
> unidoc workaround for multiple kafka versions
> --
Cody Koeninger created SPARK-16359:
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Summary: unidoc workaround for multiple kafka versions
Key: SPARK-16359
URL: https://issues.apache.org/jira/browse/SPARK-16359
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-15204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan updated SPARK-15204:
Fix Version/s: 2.1.0
> Improve nullability inference for Aggregator
> -
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Wenchen Fan resolved SPARK-15204.
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Resolution: Fixed
Target Version/s: 2.1.0
> Improve nullability inference for Aggregato
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Wenchen Fan updated SPARK-15204:
Assignee: Koert Kuipers
> Improve nullability inference for Aggregator
> --
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zeweichen updated SPARK-16357:
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Environment:
Apache Spark 1.6.1
BigBench 1.0.1
was:
Apache Spark 1.6.1 with local patch for support
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Apache Spark commented on SPARK-16329:
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User 'gatorsmile' has created a pull request
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https://issues.apache.org/jira/browse/SPARK-16089?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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marymwu updated SPARK-16089:
Component/s: SQL
> Spark2.0 doesn't support the certain static partition SQL statment as "insert
> overwri
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marymwu updated SPARK-16092:
Component/s: SQL
> Spark2.0 take no effect after set hive.exec.dynamic.partition.mode=nonstrict
> as a glo
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marymwu updated SPARK-16093:
Component/s: SQL
> Spark2.0 take no effect after set spark.sql.autoBroadcastJoinThreshold = 1
> ---
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Bryan Cutler commented on SPARK-15009:
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At the time I reported this, it was blocked
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Apache Spark reassigned SPARK-15896:
Assignee: Apache Spark
> Clean shuffle files after finish the SQL query
> ---
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Apache Spark reassigned SPARK-15896:
Assignee: (was: Apache Spark)
> Clean shuffle files after finish the SQL query
>
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Apache Spark commented on SPARK-15896:
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User 'maropu' has created a pull request for
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Apache Spark reassigned SPARK-16317:
Assignee: (was: Apache Spark)
> Add file filtering interface for FileFormat
>
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Apache Spark commented on SPARK-16317:
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User 'maropu' has created a pull request for
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Apache Spark reassigned SPARK-16317:
Assignee: Apache Spark
> Add file filtering interface for FileFormat
> ---
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Xiao Li updated SPARK-16358:
Summary: Remove InsertIntoHiveTable From Logical Plan (was: Remove
LogicalPlan Node InsertIntoHiveTable )
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Apache Spark reassigned SPARK-16358:
Assignee: Apache Spark
> Remove LogicalPlan Node InsertIntoHiveTable
> --
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Apache Spark reassigned SPARK-16358:
Assignee: (was: Apache Spark)
> Remove LogicalPlan Node InsertIntoHiveTable
> ---
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Apache Spark commented on SPARK-16358:
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User 'gatorsmile' has created a pull request
Xiao Li created SPARK-16358:
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Summary: Remove LogicalPlan Node InsertIntoHiveTable
Key: SPARK-16358
URL: https://issues.apache.org/jira/browse/SPARK-16358
Project: Spark
Issue Type: Improvement
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zeweichen updated SPARK-16357:
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Description: During our performance test of Spark shuffle RPC encryption
using 3DES on Sparksql, we fou
zeweichen created SPARK-16357:
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Summary: For Spark shuffle RPC encryption using 3DES on Sparksql,
throughput test of 2 stream lasts 2.68X time than power test.
Key: SPARK-16357
URL: https://issues.apache.org/jira/brow
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Kazuaki Ishizaki commented on SPARK-15467:
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My [PR|https://github.com/janino-com
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Shuai Lin commented on SPARK-15009:
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Hi [~bryanc] , what's the status of this ticket? I
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Wenchen Fan resolved SPARK-16288.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 13976
[https://githu
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Wenchen Fan updated SPARK-16288:
Assignee: Dongjoon Hyun
> Implement inline table generating function
>
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Wenchen Fan commented on SPARK-16333:
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looks like the `TaskInfo.accumulables` is alwa
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Arnaud Bailly commented on SPARK-16350:
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I tested provided PR and I can confirm it
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Sean Owen commented on SPARK-16333:
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[~cloud_fan] [~andrewor14] I wonder if you would k
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Apache Spark reassigned SPARK-16323:
Assignee: Apache Spark
> Avoid unnecessary cast when doing integral divide
> -
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Apache Spark commented on SPARK-16323:
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User 'techaddict' has created a pull request
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Apache Spark reassigned SPARK-16323:
Assignee: (was: Apache Spark)
> Avoid unnecessary cast when doing integral divide
> --
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Wenchen Fan updated SPARK-16279:
Assignee: Dongjoon Hyun
> Implement map_values SQL function
> -
>
>
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Wenchen Fan updated SPARK-16278:
Assignee: Dongjoon Hyun
> Implement map_keys SQL function
> ---
>
>
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Wenchen Fan resolved SPARK-16278.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 13967
[https://githu
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Wenchen Fan resolved SPARK-16279.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 13967
[https://githu
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Wenchen Fan resolved SPARK-16329.
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Resolution: Fixed
Fix Version/s: 2.1.0
> select * from temp_table_no_cols fails
>
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Wenchen Fan updated SPARK-16329:
Assignee: Xiao Li
> select * from temp_table_no_cols fails
> --
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Dongjoon Hyun updated SPARK-16323:
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Comment: was deleted
(was: Hi, [~clockfly].
If you don't mind, I'll make a PR for this.)
> Avo
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Dongjoon Hyun commented on SPARK-16323:
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Hi, [~clockfly].
If you don't mind, I'll m
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Sandeep Singh commented on SPARK-16354:
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[~smilegator] What should be the expected
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