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Herman van Hovell resolved SPARK-20567.
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Resolution: Fixed
Fix Version/s: 2.2.0
> Failure to bind when using explode
Josh Rosen created SPARK-20573:
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Summary: --packages fails when transitive dependency can only be
resolved from repository specified in POM's tag
Key: SPARK-20573
URL:
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Josh Rosen commented on SPARK-4836:
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[~ckadner], I'm pretty sure that this is still a problem.
LvDongrong created SPARK-20572:
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Summary: Spark Streaming fail to read file on Hdfs
Key: SPARK-20572
URL: https://issues.apache.org/jira/browse/SPARK-20572
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-12009?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15994199#comment-15994199
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Ethan Xu commented on SPARK-12009:
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I'm getting similar error message in with Spark 2.1.0. I can't
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Supriya Pasham edited comment on SPARK-12216 at 5/3/17 2:46 AM:
Hi Team,
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Supriya Pasham commented on SPARK-12216:
Hi Team,
I am executing 'spark-submit' with a jar and
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Burak Yavuz commented on SPARK-20571:
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cc [~felixcheung]
> Flaky SparkR StructuredStreaming tests
>
Burak Yavuz created SPARK-20571:
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Summary: Flaky SparkR StructuredStreaming tests
Key: SPARK-20571
URL: https://issues.apache.org/jira/browse/SPARK-20571
Project: Spark
Issue Type: Test
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Wenchen Fan resolved SPARK-20558.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.1
2.1.2
liucht-inspur created SPARK-20570:
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Summary: The main version number on docs/latest/index.html
Key: SPARK-20570
URL: https://issues.apache.org/jira/browse/SPARK-20570
Project: Spark
Issue
liuxian created SPARK-20569:
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Summary: In spark-sql,Some functions can execute successfully,
when the number of input parameter is wrong
Key: SPARK-20569
URL: https://issues.apache.org/jira/browse/SPARK-20569
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Saul Shanabrook updated SPARK-20568:
Description:
It would be great to be able to delete files after processing them with
Saul Shanabrook created SPARK-20568:
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Summary: Delete files after processing
Key: SPARK-20568
URL: https://issues.apache.org/jira/browse/SPARK-20568
Project: Spark
Issue Type: New Feature
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Apache Spark reassigned SPARK-20567:
Assignee: Michael Armbrust (was: Apache Spark)
> Failure to bind when using explode and
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Apache Spark reassigned SPARK-20567:
Assignee: Apache Spark (was: Michael Armbrust)
> Failure to bind when using explode and
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Apache Spark commented on SPARK-20567:
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User 'marmbrus' has created a pull request for this issue:
Michael Armbrust created SPARK-20567:
Summary: Failure to bind when using explode and collect_set in
streaming
Key: SPARK-20567
URL: https://issues.apache.org/jira/browse/SPARK-20567
Project:
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https://issues.apache.org/jira/browse/SPARK-10878?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15993888#comment-15993888
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Josh Rosen commented on SPARK-10878:
[~jeeyoungk], my understanding is that there are two possible
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Apache Spark reassigned SPARK-20566:
Assignee: (was: Apache Spark)
> ColumnVector should support `appendFloats` for array
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Apache Spark reassigned SPARK-20566:
Assignee: Apache Spark
> ColumnVector should support `appendFloats` for array
>
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Apache Spark commented on SPARK-20566:
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User 'dongjoon-hyun' has created a pull request for this
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Dongjoon Hyun updated SPARK-20566:
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Description: This issue aims to add a missing `appendFloats` API for array
into ColumnVector
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Apache Spark commented on SPARK-20557:
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User 'gatorsmile' has created a pull request for this issue:
Dongjoon Hyun created SPARK-20566:
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Summary: ColumnVector should support `appendFloats` for array
Key: SPARK-20566
URL: https://issues.apache.org/jira/browse/SPARK-20566
Project: Spark
Issue
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Xiao Li updated SPARK-20565:
Description:
For unsupported data types, we simply output the type number instead of the
type name.
Xiao Li created SPARK-20565:
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Summary: Improve the error message for unsupported JDBC types
Key: SPARK-20565
URL: https://issues.apache.org/jira/browse/SPARK-20565
Project: Spark
Issue Type: Bug
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Shixiong Zhu reassigned SPARK-20529:
Assignee: Shixiong Zhu
> Worker should not use the received Master address
>
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Shixiong Zhu updated SPARK-20529:
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Affects Version/s: 2.2.0
1.6.3
2.0.2
> Worker
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Shixiong Zhu resolved SPARK-20531.
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Resolution: Duplicate
> Spark master shouldn't send its address back to the workers over
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Shixiong Zhu updated SPARK-20436:
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Issue Type: Question (was: Bug)
> NullPointerException when restart from checkpoint file
>
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Shixiong Zhu commented on SPARK-20436:
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[~ffbin] the issue is this line {{val words2 =
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Shixiong Zhu resolved SPARK-20436.
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Resolution: Not A Problem
> NullPointerException when restart from checkpoint file
>
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Shixiong Zhu updated SPARK-20547:
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Target Version/s: (was: 2.2.0)
> ExecutorClassLoader's findClass may not work correctly when a
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Shixiong Zhu updated SPARK-20547:
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Priority: Minor (was: Blocker)
> ExecutorClassLoader's findClass may not work correctly when a
Hua Liu created SPARK-20564:
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Summary: a lot of executor failures when the executor number is
more than 2000
Key: SPARK-20564
URL: https://issues.apache.org/jira/browse/SPARK-20564
Project: Spark
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Herman van Hovell edited comment on SPARK-20556 at 5/2/17 6:34 PM:
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Apache Spark commented on SPARK-7481:
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User 'steveloughran' has created a pull request for this issue:
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Herman van Hovell commented on SPARK-20556:
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[~vlyubin] This was fixed in SPARK-18952, lets
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Herman van Hovell closed SPARK-20556.
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Resolution: Duplicate
Fix Version/s: 2.2.0
> codehaus fails to generate code
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Herman van Hovell updated SPARK-20556:
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Component/s: (was: Optimizer)
SQL
> codehaus fails to generate
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Shixiong Zhu commented on SPARK-20547:
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Did some investigation using the reproducer. Looks like it’s
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Steve Loughran commented on SPARK-20370:
Is this the bit under the PR tagged "!! HACK ALERT !!"
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Steve Loughran commented on SPARK-20560:
To follow this up, I've now got a test which verifies
Danil Kirsanov created SPARK-20563:
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Summary: going to DataFrame to RDD and back changes the schema, if
the schema is not explicitly provided
Key: SPARK-20563
URL:
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Kamal Gurala updated SPARK-20562:
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Description:
Make Spark be aware of offers that have an unavailability period set because of
a
Kamal Gurala created SPARK-20562:
Summary: Support Maintenance by having a threshold for
unavailability
Key: SPARK-20562
URL: https://issues.apache.org/jira/browse/SPARK-20562
Project: Spark
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Steve Loughran resolved SPARK-20560.
Resolution: Invalid
"localhost" is filtered, been done in
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Volodymyr Lyubinets commented on SPARK-20556:
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Here's an edited code that produces this:
Natalie created SPARK-20561:
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Summary: Running SparkR with no RHive installed in secured
environment
Key: SPARK-20561
URL: https://issues.apache.org/jira/browse/SPARK-20561
Project: Spark
Issue
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Steve Loughran commented on SPARK-20560:
{{FileSystem.getFileBlockLocations(path)}} is only
Steve Loughran created SPARK-20560:
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Summary: Review Spark's handling of filesystems returning
"localhost" in getFileBlockLocations
Key: SPARK-20560
URL: https://issues.apache.org/jira/browse/SPARK-20560
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Sean Owen resolved SPARK-20559.
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Resolution: Invalid
This should go to u...@spark.apache.org
> Refreshing a cached RDD without
Jayesh lalwani created SPARK-20559:
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Summary: Refreshing a cached RDD without restarting the Spark
application
Key: SPARK-20559
URL: https://issues.apache.org/jira/browse/SPARK-20559
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-19582?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15992985#comment-15992985
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Steve Loughran commented on SPARK-19582:
All spark is doing is taking a URL To data, mapping that
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Wenchen Fan commented on SPARK-20548:
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I'll re-enable this test after
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Gabor Feher updated SPARK-20555:
Description:
When querying an Oracle database, Spark maps some Oracle numeric data types to
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Gabor Feher updated SPARK-20555:
Description:
When querying an Oracle database, Spark maps some Oracle numeric data types to
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Apache Spark reassigned SPARK-20558:
Assignee: Apache Spark (was: Wenchen Fan)
> clear InheritableThreadLocal variables in
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Apache Spark commented on SPARK-20558:
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User 'cloud-fan' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-20558?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-20558:
Assignee: Wenchen Fan (was: Apache Spark)
> clear InheritableThreadLocal variables in
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Apache Spark commented on SPARK-20557:
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User 'JannikArndt' has created a pull request for this
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Apache Spark reassigned SPARK-20557:
Assignee: (was: Apache Spark)
> JdbcUtils doesn't support
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Apache Spark reassigned SPARK-20557:
Assignee: Apache Spark
> JdbcUtils doesn't support java.sql.Types.TIMESTAMP_WITH_TIMEZONE
Wenchen Fan created SPARK-20558:
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Summary: clear InheritableThreadLocal variables in SparkContext
when stopping it
Key: SPARK-20558
URL: https://issues.apache.org/jira/browse/SPARK-20558
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-20546?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15992886#comment-15992886
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Jessie Yu commented on SPARK-20546:
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Given the current code relies on posix mode being off, turning it
Jannik Arndt created SPARK-20557:
Summary: JdbcUtils doesn't support
java.sql.Types.TIMESTAMP_WITH_TIMEZONE
Key: SPARK-20557
URL: https://issues.apache.org/jira/browse/SPARK-20557
Project: Spark
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Sean Owen commented on SPARK-20395:
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[~jeremyrsmith] I tried updating to Scala 2.11.11 today and it
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Sean Owen commented on SPARK-20556:
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Do you have a reproduction?
> codehaus fails to generate code
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Apache Spark reassigned SPARK-18777:
Assignee: (was: Apache Spark)
> Return UDF objects when registering from Python
>
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Apache Spark reassigned SPARK-18777:
Assignee: Apache Spark
> Return UDF objects when registering from Python
>
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Apache Spark commented on SPARK-18777:
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User 'zero323' has created a pull request for this issue:
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Volodymyr Lyubinets updated SPARK-20556:
Description:
I guess somewhere along the way Spark uses codehaus to generate
Volodymyr Lyubinets created SPARK-20556:
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Summary: codehaus fails to generate code because of unescaped
strings
Key: SPARK-20556
URL: https://issues.apache.org/jira/browse/SPARK-20556
Project:
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Ramgopal N commented on SPARK-3528:
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I have spark running on Mesos.
Mesos agents are running on
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Hyukjin Kwon commented on SPARK-19019:
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To solve this problem fully, I had to port cloudpickle
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Hyukjin Kwon updated SPARK-19019:
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Fix Version/s: 2.0.3
1.6.4
> PySpark does not work with Python 3.6.0
>
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Apache Spark reassigned SPARK-20555:
Assignee: (was: Apache Spark)
> Incorrect handling of Oracle's decimal types via JDBC
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Apache Spark reassigned SPARK-20555:
Assignee: Apache Spark
> Incorrect handling of Oracle's decimal types via JDBC
>
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Apache Spark commented on SPARK-20555:
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User 'gaborfeher' has created a pull request for this issue:
Gabor Feher created SPARK-20555:
---
Summary: Incorrect handling of Oracle's decimal types via JDBC
Key: SPARK-20555
URL: https://issues.apache.org/jira/browse/SPARK-20555
Project: Spark
Issue
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Nils Grabbert commented on SPARK-18891:
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Example in SPARK-19104 still not working.
> Support for
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Umesh Chaudhary commented on SPARK-20554:
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[~srowen] I can work on this. Currently seeing 15
Sean Owen created SPARK-20554:
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Summary: Remove usage of scala.language.reflectiveCalls
Key: SPARK-20554
URL: https://issues.apache.org/jira/browse/SPARK-20554
Project: Spark
Issue Type:
Nick Pentreath created SPARK-20553:
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Summary: Update ALS examples for ML to illustrate recommend all
Key: SPARK-20553
URL: https://issues.apache.org/jira/browse/SPARK-20553
Project: Spark
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Nick Pentreath resolved SPARK-20300.
Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17622
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Jason Moore commented on SPARK-20411:
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And, ideally, anything else within
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Nick Pentreath commented on SPARK-20443:
Interesting - though it appears to me that {{2048}} is
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Teng Jiang commented on SPARK-20443:
All the tests above were did with SPARK-11968 / [PR #17742 |
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Nick Pentreath commented on SPARK-20551:
Yes I agree that it appears you're trying to import Java
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Nick Pentreath closed SPARK-20551.
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Resolution: Not A Problem
> ImportError adding custom class from jar in pyspark
>
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https://issues.apache.org/jira/browse/SPARK-20552?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-20552.
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Resolution: Won't Fix
I am resolving this. Please refer the discussion in the PR.
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https://issues.apache.org/jira/browse/SPARK-20443?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15992475#comment-15992475
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Nick Pentreath commented on SPARK-20443:
Were these tests against existing master? Because
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https://issues.apache.org/jira/browse/SPARK-20443?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15992471#comment-15992471
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Teng Jiang commented on SPARK-20443:
I did some tests on the blockSize.
The test environment is:
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https://issues.apache.org/jira/browse/SPARK-20549?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-20549.
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Resolution: Fixed
Assignee: Burak Yavuz
Fix Version/s: 2.3.0
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