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Apache Spark reassigned SPARK-22110:
Assignee: Apache Spark
> Enhance function description trim string function
>
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Apache Spark reassigned SPARK-22110:
Assignee: (was: Apache Spark)
> Enhance function description trim string function
>
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Apache Spark commented on SPARK-22110:
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User 'kevinyu98' has created a pull request for this issue:
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liuxian closed SPARK-22085.
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Resolution: Invalid
> When the applicationhas no core left，do not request more executors from the
>
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Joseph K. Bradley resolved SPARK-22060.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 19278
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Apache Spark commented on SPARK-22088:
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User 'kevinyu98' has created a pull request for this issue:
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kevin yu updated SPARK-22110:
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Description: This JIRA will enhance the function description for string
function `trim`, specific for
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kevin yu updated SPARK-22110:
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Description:
This JIRA will enhance the function description for string function
{code:java}
TRIM
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kevin yu updated SPARK-22110:
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Description:
This JIRA will enhance the function description for string function `trim`
, specific for
kevin yu created SPARK-22110:
Summary: Enhance function description trim string function
Key: SPARK-22110
URL: https://issues.apache.org/jira/browse/SPARK-22110
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-19417?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16177276#comment-16177276
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Chris Kanich commented on SPARK-19417:
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This is my hacked up runtime library loader:
{{
#
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Devaraj K commented on SPARK-19417:
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Thanks [~ckanich] for the test case.
Imran Rashid created SPARK-22109:
Summary: Reading tables partitioned by columns that look like
timestamps has inconsistent schema inference
Key: SPARK-22109
URL: https://issues.apache.org/jira/browse/SPARK-22109
Imran Rashid created SPARK-22108:
Summary: Logical Inconsistency in Timestamp Cast
Key: SPARK-22108
URL: https://issues.apache.org/jira/browse/SPARK-22108
Project: Spark
Issue Type: Bug
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Apache Spark reassigned SPARK-22107:
Assignee: (was: Apache Spark)
> "as" should be "alias" in python quick start
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Apache Spark reassigned SPARK-22107:
Assignee: Apache Spark
> "as" should be "alias" in python quick start documentation
>
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Apache Spark commented on SPARK-22107:
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User 'jgoleary' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-22106?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-22106:
Assignee: Apache Spark
> Remove support for 0-parameter pandas_udfs
>
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Apache Spark reassigned SPARK-22106:
Assignee: (was: Apache Spark)
> Remove support for 0-parameter pandas_udfs
>
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Apache Spark commented on SPARK-22106:
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User 'BryanCutler' has created a pull request for this
John O'Leary created SPARK-22107:
Summary: "as" should be "alias" in python quick start documentation
Key: SPARK-22107
URL: https://issues.apache.org/jira/browse/SPARK-22107
Project: Spark
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Shixiong Zhu commented on SPARK-22046:
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I don't know what's the exact issue.
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Imran Rashid edited comment on SPARK-22083 at 9/22/17 6:35 PM:
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After
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Imran Rashid commented on SPARK-22083:
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After another look at this, I'm actually not sure why we
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https://issues.apache.org/jira/browse/SPARK-19563?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16176870#comment-16176870
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Charles Pritchard commented on SPARK-19563:
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Did this make it into Spark 2.1.1?
> advoid
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Bryan Cutler commented on SPARK-19357:
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[~josephkb] I think trying to push down the parallelism to
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Bryan Cutler commented on SPARK-22106:
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I'll submit a PR soon for this
> Remove support for
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Bryan Cutler resolved SPARK-21404.
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Resolution: Fixed
This has been merged as SPARK-21190
> Simple Vectorized Python UDFs using
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Bryan Cutler closed SPARK-21404.
> Simple Vectorized Python UDFs using Arrow
> -
>
>
Bryan Cutler created SPARK-22106:
Summary: Remove support for 0-parameter pandas_udfs
Key: SPARK-22106
URL: https://issues.apache.org/jira/browse/SPARK-22106
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-22105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16176655#comment-16176655
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Kazuaki Ishizaki edited comment on SPARK-22105 at 9/22/17 4:22 PM:
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Can
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Weichen Xu updated SPARK-22105:
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Description:
Suppose we have a dataframe with many columns (e.g 100 columns), each column is
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Kazuaki Ishizaki commented on SPARK-22105:
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Can this PR at
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Weichen Xu updated SPARK-22105:
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Priority: Minor (was: Major)
> Dataframe has poor performance when computing on many columns with
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Weichen Xu commented on SPARK-22105:
cc [~mlnick] [~cloud_fan]
> Dataframe has poor performance when
Weichen Xu created SPARK-22105:
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Summary: Dataframe has poor performance when computing on many
columns with codegen
Key: SPARK-22105
URL: https://issues.apache.org/jira/browse/SPARK-22105
Project:
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Apache Spark reassigned SPARK-22103:
Assignee: Apache Spark
> Move HashAggregateExec parent consume to a separate function in
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Apache Spark reassigned SPARK-22103:
Assignee: (was: Apache Spark)
> Move HashAggregateExec parent consume to a separate
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https://issues.apache.org/jira/browse/SPARK-22103?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16176597#comment-16176597
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Apache Spark commented on SPARK-22103:
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User 'juliuszsompolski' has created a pull request for this
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Anbu Cheeralan updated SPARK-22104:
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Component/s: SQL
> Add new option to dataframe -> parquet ==> custom extension to file name
Anbu Cheeralan created SPARK-22104:
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Summary: Add new option to dataframe -> parquet ==> custom
extension to file name
Key: SPARK-22104
URL: https://issues.apache.org/jira/browse/SPARK-22104
Juliusz Sompolski created SPARK-22103:
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Summary: Move HashAggregateExec parent consume to a separate
function in codegen
Key: SPARK-22103
URL: https://issues.apache.org/jira/browse/SPARK-22103
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https://issues.apache.org/jira/browse/SPARK-13030?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16176534#comment-16176534
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Weichen Xu commented on SPARK-13030:
[~josephkb] What about create a new name estimator for this ? It
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Weichen Xu commented on SPARK-10884:
I took this over. Will create new PR soon. Thanks!
> Support
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holdenk updated SPARK-16625:
Fix Version/s: 2.1.2
> Oracle JDBC table creation fails with ORA-00902: invalid datatype
>
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Weichen Xu edited comment on SPARK-10413 at 9/22/17 2:46 PM:
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Apache Spark commented on SPARK-22092:
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User 'ala' has created a pull request for this issue:
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Weichen Xu commented on SPARK-10413:
[~derek.kak...@gmail.com] I have taken this over and will create
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guichaoxian closed SPARK-22089.
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> There is no need for fileStatusCache to invalidateAll when InMemoryFileIndex
> refresh
>
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Yuming Wang updated SPARK-22102:
Description:
It shows the warehouse dir is
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Apache Spark commented on SPARK-22102:
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User 'wangyum' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-22102?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-22102:
Assignee: (was: Apache Spark)
> Reusing CliSessionState didn't set correct
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Apache Spark reassigned SPARK-22102:
Assignee: Apache Spark
> Reusing CliSessionState didn't set correct METASTOREWAREHOUSE
>
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Xianyang Liu updated SPARK-22097:
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Description: We only need request bbos.size - unrollMemoryUsedByThisBlock
after unrolled the
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Xianyang Liu updated SPARK-22097:
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Summary: Request an accurate memory after we unrolled the block (was: Call
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Hyukjin Kwon reassigned SPARK-21766:
Assignee: Liang-Chi Hsieh
> DataFrame toPandas() raises ValueError with nullable int
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Hyukjin Kwon resolved SPARK-21766.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 19319
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Yuming Wang updated SPARK-22102:
Description:
{noformat}
[root@wangyuming01 spark-2.3.0-SNAPSHOT-bin-2.6.5]# bin/spark-sql
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Herman van Hovell resolved SPARK-22092.
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Resolution: Fixed
Assignee: Ala Luszczak
Fix Version/s: 2.3.0
>
Yuming Wang created SPARK-22102:
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Summary: Reusing CliSessionState didn't set correct
METASTOREWAREHOUSE
Key: SPARK-22102
URL: https://issues.apache.org/jira/browse/SPARK-22102
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-21347?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16176327#comment-16176327
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Josh Devins commented on SPARK-21347:
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We were experiencing the same issue but on Spark 2.2.0. On
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Sergei Lebedev commented on SPARK-792:
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It looks like the change in the title was never implemented.
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ulysses you commented on SPARK-22101:
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Thank you , i will go to HBase
> spark over hbase snapshot
>
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Sean Owen resolved SPARK-22101.
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Resolution: Invalid
This is an HBase question, not a Spark JIRA
> spark over hbase snapshot
>
ulysses you created SPARK-22101:
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Summary: spark over hbase snapshot
Key: SPARK-22101
URL: https://issues.apache.org/jira/browse/SPARK-22101
Project: Spark
Issue Type: Question
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Liang-Chi Hsieh commented on SPARK-22081:
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Btw, looks like RELR is patented:
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Saisai Shao commented on SPARK-9103:
[~irashid] I would like to hear your suggestion on displaying
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Apache Spark reassigned SPARK-22100:
Assignee: (was: Apache Spark)
> make percentile_approx support numeric/date/timestamp
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Apache Spark commented on SPARK-22100:
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User 'wzhfy' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-22100?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-22100:
Assignee: Apache Spark
> make percentile_approx support numeric/date/timestamp types
>
Zhenhua Wang created SPARK-22100:
Summary: make percentile_approx support numeric/date/timestamp
types
Key: SPARK-22100
URL: https://issues.apache.org/jira/browse/SPARK-22100
Project: Spark
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holdenk resolved SPARK-22071.
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Resolution: Fixed
Fix Version/s: 2.1.2
2.3.0
2.2.1
Issue
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holdenk resolved SPARK-22072.
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Resolution: Fixed
Fix Version/s: 2.1.2
2.3.0
2.2.1
Issue
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Xiao Li resolved SPARK-21998.
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Resolution: Fixed
Assignee: Maryann Xue
Fix Version/s: 2.3.0
> SortMergeJoinExec did not
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Sean Owen resolved SPARK-22089.
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Resolution: Not A Problem
> There is no need for fileStatusCache to invalidateAll when
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Sean Owen reopened SPARK-22089:
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> There is no need for fileStatusCache to invalidateAll when InMemoryFileIndex
> refresh
>
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Apache Spark reassigned SPARK-22099:
Assignee: (was: Apache Spark)
> The 'job ids' list style needs to be changed in the
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Apache Spark reassigned SPARK-22099:
Assignee: Apache Spark
> The 'job ids' list style needs to be changed in the SQL page.
>
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Apache Spark commented on SPARK-22099:
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User 'guoxiaolongzte' has created a pull request for this
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guoxiaolongzte updated SPARK-22099:
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Description:
The 'job ids' list style needs to be changed in the SQL page
The 'job ids'
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guoxiaolongzte updated SPARK-22099:
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Component/s: SQL
> The 'job ids' list style needs to be changed in the SQL page.
>
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https://issues.apache.org/jira/browse/SPARK-21766?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16176000#comment-16176000
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Apache Spark commented on SPARK-21766:
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User 'viirya' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-22099?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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guoxiaolongzte updated SPARK-22099:
---
Description:
The 'job ids' list style needs to be changed in the SQL page
The 'job ids'
guoxiaolongzte created SPARK-22099:
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Summary: The 'job ids' list style needs to be changed in the SQL
page.
Key: SPARK-22099
URL: https://issues.apache.org/jira/browse/SPARK-22099
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-21999?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16175986#comment-16175986
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Shixiong Zhu commented on SPARK-21999:
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>From the stack trace, it seems the problem is in the
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