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Nick Pentreath commented on SPARK-14409:
[~josephkb] the proposed input schema above encompasses
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Apache Spark reassigned SPARK-18549:
Assignee: Apache Spark
> Failed to Uncache a View that References a Dropped Table.
>
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Apache Spark reassigned SPARK-18549:
Assignee: (was: Apache Spark)
> Failed to Uncache a View that References a Dropped
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Apache Spark commented on SPARK-18549:
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User 'cloud-fan' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18549:
Assignee: (was: Apache Spark)
> Failed to Uncache a View that References a Dropped
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Apache Spark reassigned SPARK-18549:
Assignee: Apache Spark
> Failed to Uncache a View that References a Dropped Table.
>
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Wenchen Fan reassigned SPARK-19832:
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Assignee: Song Jun
> DynamicPartitionWriteTask should escape the partition name
>
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Wenchen Fan resolved SPARK-19832.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17173
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Apache Spark commented on SPARK-19847:
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User 'cloud-fan' has created a pull request for this issue:
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Apache Spark reassigned SPARK-19847:
Assignee: Apache Spark (was: Wenchen Fan)
> port hive read to FileFormat API
>
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Joseph K. Bradley commented on SPARK-14409:
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Thanks [~nick.pentre...@gmail.com]! I like this
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Apache Spark reassigned SPARK-19847:
Assignee: Wenchen Fan (was: Apache Spark)
> port hive read to FileFormat API
>
Wenchen Fan created SPARK-19847:
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Summary: port hive read to FileFormat API
Key: SPARK-19847
URL: https://issues.apache.org/jira/browse/SPARK-19847
Project: Spark
Issue Type: Improvement
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Felix Cheung resolved SPARK-19818.
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Resolution: Fixed
Assignee: Wayne Zhang
Fix Version/s: 2.2.0
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Felix Cheung updated SPARK-19818:
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Labels: releasenotes (was: )
> rbind should check for name consistency of input data frames
>
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Felix Cheung updated SPARK-19818:
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Summary: rbind should check for name consistency of input data frames
(was: SparkR union should
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Xiao Li reassigned SPARK-19350:
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Assignee: Zhenhua Wang
> Cardinality estimation of Limit and Sample
>
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Xiao Li resolved SPARK-19350.
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Resolution: Fixed
Fix Version/s: 2.2.0
> Cardinality estimation of Limit and Sample
>
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Apache Spark reassigned SPARK-19846:
Assignee: (was: Apache Spark)
> Add a flag to disable constraint propagation
>
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Apache Spark reassigned SPARK-19846:
Assignee: Apache Spark
> Add a flag to disable constraint propagation
>
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Apache Spark commented on SPARK-19846:
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User 'viirya' has created a pull request for this issue:
Liang-Chi Hsieh created SPARK-19846:
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Summary: Add a flag to disable constraint propagation
Key: SPARK-19846
URL: https://issues.apache.org/jira/browse/SPARK-19846
Project: Spark
Issue
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Apache Spark commented on SPARK-19602:
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User 'skambha' has created a pull request for this issue:
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hustfxj updated SPARK-19831:
Description:
Cleaning the application may cost much time at worker, then it will block that
the worker
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hustfxj updated SPARK-19831:
Description:
Cleaning the application may cost much time at worker, then it will block that
the worker
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hustfxj updated SPARK-19831:
Description:
Cleaning the application may cost much time at worker, then it will block that
the worker
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hustfxj updated SPARK-19831:
Description:
Cleaning the application may cost much time at worker, then it will block that
the worker
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hustfxj edited comment on SPARK-19831 at 3/7/17 4:15 AM:
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[~zsxwing]. I only find
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hustfxj commented on SPARK-19829:
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[~sowen] Yes, this is handled by systems like YARN. But my spark
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hustfxj commented on SPARK-19831:
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[~zsxwing]. I only find the code which handles *ApplicationFinished*
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Apache Spark reassigned SPARK-19843:
Assignee: Apache Spark
> UTF8String => (int / long) conversion expensive for invalid
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Apache Spark commented on SPARK-19843:
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User 'tejasapatil' has created a pull request for this
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Apache Spark reassigned SPARK-19843:
Assignee: (was: Apache Spark)
> UTF8String => (int / long) conversion expensive for
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https://issues.apache.org/jira/browse/SPARK-18085?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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DjvuLee updated SPARK-18085:
Yes, you're right. I just want to impact as few as possible.
> Better History Server scalability for many
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Song Jun edited comment on SPARK-19845 at 3/7/17 2:33 AM:
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yes, this jira is
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Song Jun commented on SPARK-19845:
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yes, this jira is doing this
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Wenchen Fan commented on SPARK-19845:
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In this case, I think we have to uncache the table when alter
Song Jun created SPARK-19845:
Summary: failed to uncache datasource table after the table
location altered
Key: SPARK-19845
URL: https://issues.apache.org/jira/browse/SPARK-19845
Project: Spark
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Ioana Delaney updated SPARK-19842:
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Description:
*Informational Referential Integrity Constraints Support in Spark*
This work
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Ioana Delaney updated SPARK-19842:
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Description:
*Informational Referential Integrity Constraints Support in Spark*
This work
Franklyn Dsouza created SPARK-19844:
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Summary: UDF in when control function is executed before the when
clause is evaluated.
Key: SPARK-19844
URL: https://issues.apache.org/jira/browse/SPARK-19844
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Tathagata Das resolved SPARK-19719.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17043
Tejas Patil created SPARK-19843:
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Summary: UTF8String => (int / long) conversion expensive for
invalid inputs
Key: SPARK-19843
URL: https://issues.apache.org/jira/browse/SPARK-19843
Project: Spark
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Ioana Delaney updated SPARK-19842:
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Target Version/s: (was: 2.2.0)
> Informational Referential Integrity Constraints Support in
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Ioana Delaney updated SPARK-19842:
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Attachment: InformationalRIConstraints.doc
> Informational Referential Integrity Constraints
Ioana Delaney created SPARK-19842:
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Summary: Informational Referential Integrity Constraints Support
in Spark
Key: SPARK-19842
URL: https://issues.apache.org/jira/browse/SPARK-19842
Project: Spark
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Apache Spark reassigned SPARK-19841:
Assignee: Shixiong Zhu (was: Apache Spark)
> StreamingDeduplicateExec.watermarkPredicate
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Apache Spark reassigned SPARK-19841:
Assignee: Apache Spark (was: Shixiong Zhu)
> StreamingDeduplicateExec.watermarkPredicate
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Apache Spark commented on SPARK-19841:
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User 'zsxwing' has created a pull request for this issue:
Shixiong Zhu created SPARK-19841:
Summary: StreamingDeduplicateExec.watermarkPredicate should filter
rows based on keys
Key: SPARK-19841
URL: https://issues.apache.org/jira/browse/SPARK-19841
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Apache Spark commented on SPARK-19840:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-19840:
Assignee: (was: Apache Spark)
> Disallow creating permanent functions with invalid
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Apache Spark reassigned SPARK-19840:
Assignee: Apache Spark
> Disallow creating permanent functions with invalid class names
>
Dongjoon Hyun created SPARK-19840:
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Summary: Disallow creating permanent functions with invalid class
names
Key: SPARK-19840
URL: https://issues.apache.org/jira/browse/SPARK-19840
Project: Spark
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Hyukjin Kwon edited comment on SPARK-15522 at 3/6/17 11:26 PM:
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We can use
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Junping Du commented on SPARK-14423:
Thanks [~jerryshao] for reporting this issue. I think YARN
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Sean Owen commented on SPARK-19767:
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Hm, have you installed all the ruby-based dependencies? I don't
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Wenchen Fan reassigned SPARK-19709:
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Assignee: Wojciech Szymanski
> CSV datasource fails to read empty file
>
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Wenchen Fan resolved SPARK-19709.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17068
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Kyle Kelley commented on SPARK-19094:
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Super interested in this, as it's been confusing for our
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Wenchen Fan updated SPARK-16845:
Fix Version/s: 2.0.3
1.6.4
>
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Apache Spark reassigned SPARK-19824:
Assignee: Apache Spark
> Standalone master JSON not showing cores for running
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Apache Spark commented on SPARK-19824:
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User 'yongtang' has created a pull request for this issue:
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Apache Spark reassigned SPARK-19824:
Assignee: (was: Apache Spark)
> Standalone master JSON not showing cores for running
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Joseph K. Bradley resolved SPARK-19382.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 16784
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Joseph K. Bradley reassigned SPARK-19382:
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Assignee: Miao Wang
> Test sparse vectors in LinearSVCSuite
>
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Dongjoon Hyun commented on SPARK-18832:
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Could you check the permission of the following? Is it
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Xiao Li reassigned SPARK-19211:
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Assignee: Jiang Xingbo
> Explicitly prevent Insert into View or Create View As Insert
>
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Xiao Li resolved SPARK-19211.
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Resolution: Fixed
Fix Version/s: 2.2.0
> Explicitly prevent Insert into View or Create View As
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Reynold Xin commented on SPARK-17495:
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We should probably create subtickets next time for this ...
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Steve Loughran commented on SPARK-19790:
Thinking some more & looking at code snippets
#
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Imran Rashid commented on SPARK-19796:
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I'm opposed to (b) as well.
It feels wrong to only do a
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Zhan Zhang commented on SPARK-19839:
When BytesToBytesMap spills, its longArray should be released.
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Apache Spark commented on SPARK-19839:
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User 'zhzhan' has created a pull request for this issue:
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Apache Spark reassigned SPARK-19839:
Assignee: Apache Spark
> Fix memory leak in BytesToBytesMap
>
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Apache Spark reassigned SPARK-19839:
Assignee: (was: Apache Spark)
> Fix memory leak in BytesToBytesMap
>
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Imran Rashid reassigned SPARK-19796:
Assignee: Imran Rashid
> taskScheduler fails serializing long statements received by
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Sital Kedia commented on SPARK-19837:
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`SparkHiveDynamicPartitionWriterContainer` has been refactored
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Sital Kedia closed SPARK-19837.
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Resolution: Fixed
> Fetch failure throws a SparkException in SparkHiveWriter
>
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Nick Afshartous commented on SPARK-19767:
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I believe all the dependencies are installed and got
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Imran Rashid resolved SPARK-19796.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17140
Zhan Zhang created SPARK-19839:
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Summary: Fix memory leak in BytesToBytesMap
Key: SPARK-19839
URL: https://issues.apache.org/jira/browse/SPARK-19839
Project: Spark
Issue Type: Bug
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Apache Spark reassigned SPARK-17495:
Assignee: Apache Spark (was: Tejas Patil)
> Hive hash implementation
>
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Apache Spark reassigned SPARK-17495:
Assignee: Tejas Patil (was: Apache Spark)
> Hive hash implementation
>
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Tejas Patil reopened SPARK-17495:
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Re-opening. This is not done yet as there are time related datatypes that need
to be handled and
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Amit Sela commented on SPARK-19067:
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Sweet!
I will make time tomorrow to go over the PR thoroughly
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Steve Loughran commented on SPARK-19790:
The only time a task output committer should be making
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Apache Spark commented on SPARK-19067:
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User 'tdas' has created a pull request for this issue:
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Dongjoon Hyun edited comment on SPARK-18832 at 3/6/17 7:11 PM:
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Hi,
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https://issues.apache.org/jira/browse/SPARK-18568?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15897852#comment-15897852
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Laurent Philippart commented on SPARK-18568:
Does it also occur when the vertex attribute or
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https://issues.apache.org/jira/browse/SPARK-19067?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15897851#comment-15897851
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Tathagata Das commented on SPARK-19067:
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Yes, they will be resettable. Just see the timeout subtask
Tathagata Das created SPARK-19838:
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Summary: Adding Processing Time based timeout
Key: SPARK-19838
URL: https://issues.apache.org/jira/browse/SPARK-19838
Project: Spark
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SPARK-18832?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15897841#comment-15897841
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Dongjoon Hyun commented on SPARK-18832:
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Could you upload your `jar` file? It could be a problem of
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https://issues.apache.org/jira/browse/SPARK-18832?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15897799#comment-15897799
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Dongjoon Hyun edited comment on SPARK-18832 at 3/6/17 6:55 PM:
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Hi,
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https://issues.apache.org/jira/browse/SPARK-18832?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15897799#comment-15897799
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Dongjoon Hyun edited comment on SPARK-18832 at 3/6/17 6:53 PM:
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Hi,
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https://issues.apache.org/jira/browse/SPARK-18832?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15897799#comment-15897799
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Dongjoon Hyun edited comment on SPARK-18832 at 3/6/17 6:46 PM:
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Hi,
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https://issues.apache.org/jira/browse/SPARK-19257?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan reassigned SPARK-19257:
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Assignee: Song Jun
> The type of CatalogStorageFormat.locationUri should be java.net.URI
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https://issues.apache.org/jira/browse/SPARK-19257?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-19257.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17149
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https://issues.apache.org/jira/browse/SPARK-19304?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz resolved SPARK-19304.
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Resolution: Fixed
Fix Version/s: 2.2.0
Target Version/s: 2.2.0
Resolved by:
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https://issues.apache.org/jira/browse/SPARK-19304?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz reassigned SPARK-19304:
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Assignee: Gaurav Shah
> Kinesis checkpoint recovery is 10x slow
>
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