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Dan commented on SPARK-21461:
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How could this lead to an unexpected consequence? If Spark fai
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Wenchen Fan resolved SPARK-20065.
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Resolution: Fixed
Assignee: Li Yuanjian
Fix Version/s: 2.3.0
> Empty output files
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Wenchen Fan reassigned SPARK-21435:
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Assignee: Li Yuanjian
> Empty files should be skipped while write to file
>
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Wenchen Fan resolved SPARK-21435.
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Resolution: Fixed
Fix Version/s: 2.3.0
> Empty files should be skipped while write to file
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Liang-Chi Hsieh commented on SPARK-21177:
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I can't reproduce the reported issue w
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Hyukjin Kwon edited comment on SPARK-20065 at 7/19/17 6:06 AM:
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Wenchen Fan reopened SPARK-21435:
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> Empty files should be skipped while write to file
> ---
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Dongjoon Hyun commented on SPARK-21316:
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+1
> Dataset Union output is not consiste
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Hyukjin Kwon commented on SPARK-21461:
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No, they are different. Malformed CSV/JSON a
Smruthi Rajmohan created SPARK-21466:
Summary: com.cloudant.spark throws an error in python notebook
Key: SPARK-21466
URL: https://issues.apache.org/jira/browse/SPARK-21466
Project: Spark
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Liang-Chi Hsieh commented on SPARK-21316:
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As unionByName was merged, I think it
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Liang-Chi Hsieh commented on SPARK-21437:
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For reference, the PR adds this check:
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Liang-Chi Hsieh commented on SPARK-21439:
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If there's no pr submitted and no one
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Liang-Chi Hsieh updated SPARK-21441:
Priority: Major (was: Critical)
> Incorrect Codegen in SortMergeJoinExec results failures
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Liang-Chi Hsieh commented on SPARK-21441:
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Btw, I think the priority of this issu
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Dan commented on SPARK-21461:
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I disagree this is a user error - a streaming application shou
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Hyukjin Kwon commented on SPARK-21435:
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(cc [~cloud_fan], I don't mind reopening thi
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Hyukjin Kwon commented on SPARK-20065:
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I can confirm that PR (almost) fixes this is
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Hyukjin Kwon commented on SPARK-20065:
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Yes, I am quite sure that fixes it. Will be
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Xiang Gao updated SPARK-21465:
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Description:
For now, the behavior of different types of {{array.array}} support in pyspark
is not cle
Xiang Gao created SPARK-21465:
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Summary: array('L') support might lead to overflow error
Key: SPARK-21465
URL: https://issues.apache.org/jira/browse/SPARK-21465
Project: Spark
Issue Type: Bug
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Wenchen Fan commented on SPARK-20065:
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Does https://github.com/apache/spark/pull/1865
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Apache Spark reassigned SPARK-21464:
Assignee: Tathagata Das (was: Apache Spark)
> Minimize deprecation warnings caused by Pro
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Apache Spark commented on SPARK-21464:
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User 'tdas' has created a pull request for t
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Apache Spark reassigned SPARK-21464:
Assignee: Apache Spark (was: Tathagata Das)
> Minimize deprecation warnings caused by Pro
Tathagata Das created SPARK-21464:
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Summary: Minimize deprecation warnings caused by ProcessingTime
class
Key: SPARK-21464
URL: https://issues.apache.org/jira/browse/SPARK-21464
Project: Spark
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Corey Woodfield updated SPARK-21333:
Affects Version/s: 2.2.0
> joinWith documents and analysis allow invalid join types
> -
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Xiao Li resolved SPARK-21457.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.1
> ExternalCatalog.listPartitions s
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Apache Spark commented on SPARK-21273:
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User 'gatorsmile' has created a pull request
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Tathagata Das resolved SPARK-21462.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18675
[https://g
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Dimuthu Wickramanayake commented on SPARK-21439:
Can i start work on this
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Burak Yavuz reassigned SPARK-21463:
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Assignee: Burak Yavuz
> Output of StructuredStreaming tables don't respect user specified sc
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Apache Spark reassigned SPARK-21462:
Assignee: Tathagata Das (was: Apache Spark)
> Add batchId to the json of StreamingQueryPr
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Apache Spark reassigned SPARK-21463:
Assignee: Apache Spark
> Output of StructuredStreaming tables don't respect user specified
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Apache Spark commented on SPARK-21462:
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User 'tdas' has created a pull request for t
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Apache Spark reassigned SPARK-21462:
Assignee: Apache Spark (was: Tathagata Das)
> Add batchId to the json of StreamingQueryPr
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Apache Spark commented on SPARK-21463:
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User 'brkyvz' has created a pull request for
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Apache Spark reassigned SPARK-21463:
Assignee: (was: Apache Spark)
> Output of StructuredStreaming tables don't respect use
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Marcelo Vanzin resolved SPARK-21408.
Resolution: Fixed
Assignee: Marcelo Vanzin
Fix Version/s: 2.3.0
> Default R
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Susan X. Huynh updated SPARK-21458:
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Description:
When the driver failover_timeout was always set to zero, we relied on the Mesos
Burak Yavuz created SPARK-21463:
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Summary: Output of StructuredStreaming tables don't respect user
specified schema when reading back the table
Key: SPARK-21463
URL: https://issues.apache.org/jira/browse/SPARK-21463
Tathagata Das created SPARK-21462:
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Summary: Add batchId to the json of StreamingQueryProgress
Key: SPARK-21462
URL: https://issues.apache.org/jira/browse/SPARK-21462
Project: Spark
Issue Typ
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Shixiong Zhu edited comment on SPARK-21378 at 7/18/17 8:01 PM:
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Shixiong Zhu commented on SPARK-21378:
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The data must already be in Kafka when execu
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Shixiong Zhu edited comment on SPARK-21378 at 7/18/17 8:00 PM:
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Shixiong Zhu edited comment on SPARK-21425 at 7/18/17 7:41 PM:
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Shixiong Zhu commented on SPARK-21425:
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[~srowen]
1. Long/DoubleAccumulator assumes
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Shixiong Zhu commented on SPARK-21460:
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Make sense. Reopened it.
> Spark dynamic al
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Shixiong Zhu reopened SPARK-21460:
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> Spark dynamic allocation breaks when ListenerBus event queue runs full
>
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Marcelo Vanzin updated SPARK-21411:
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Affects Version/s: (was: 2.2.0)
2.3.0
> Failed to get new HDFS del
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Marcelo Vanzin resolved SPARK-21411.
Resolution: Fixed
Assignee: Saisai Shao
Fix Version/s: 2.3.0
> Failed to ge
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Ruslan Dautkhanov commented on SPARK-21460:
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[~zsxwing] can we keep this jira o
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Apache Spark reassigned SPARK-21456:
Assignee: (was: Apache Spark)
> Make the driver failover_timeout configurable (Mesos c
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Apache Spark reassigned SPARK-21456:
Assignee: Apache Spark
> Make the driver failover_timeout configurable (Mesos cluster mode
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Apache Spark commented on SPARK-21456:
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User 'susanxhuynh' has created a pull reques
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Shixiong Zhu commented on SPARK-21460:
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[~Tagar] Right. SPARK-18838 probably will cr
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Ruslan Dautkhanov commented on SPARK-21460:
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[~zsxwing], according to [~tgraves
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Shixiong Zhu resolved SPARK-21461.
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Resolution: Won't Fix
This is a user error rather than a Spark bug. Ignoring such errors will h
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Susan X. Huynh updated SPARK-21458:
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Description:
When the driver failover_timeout was always set to zero, we relied on the Mesos
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Susan X. Huynh updated SPARK-21458:
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Description:
When the driver failover_timeout was always set to zero, we relied on the Mesos
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Shixiong Zhu resolved SPARK-21460.
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Resolution: Duplicate
This will be addressed in SPARK-18838
> Spark dynamic allocation breaks
Dan created SPARK-21461:
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Summary: Spark Streaming crashes if CSV file has no read
permissions
Key: SPARK-21461
URL: https://issues.apache.org/jira/browse/SPARK-21461
Project: Spark
Issue Type: Bug
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David Allsopp updated SPARK-21459:
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Description:
When working with DataFrames with nested schemas, the behavior of the
aggregation
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Stuart Reynolds edited comment on SPARK-21392 at 7/18/17 5:30 PM:
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Stuart Reynolds commented on SPARK-21392:
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Okie dokey:
http://apache-spark-user-
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Apache Spark reassigned SPARK-21447:
Assignee: (was: Apache Spark)
> Spark history server fails to render compressed inprog
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Apache Spark commented on SPARK-21447:
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User 'ericvandenbergfb' has created a pull r
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Apache Spark reassigned SPARK-21447:
Assignee: Apache Spark
> Spark history server fails to render compressed inprogress histor
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https://issues.apache.org/jira/browse/SPARK-15703?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16091821#comment-16091821
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Ruslan Dautkhanov commented on SPARK-15703:
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[~tgraves], filed SPARK-21460. Tha
Ruslan Dautkhanov created SPARK-21460:
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Summary: Spark dynamic allocation breaks when ListenerBus event
queue runs full
Key: SPARK-21460
URL: https://issues.apache.org/jira/browse/SPARK-21460
Proj
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Marcelo Vanzin resolved SPARK-15526.
Resolution: Fixed
Assignee: Sean Owen
Fix Version/s: 2.3.0
> Shade JPMML
>
David Allsopp created SPARK-21459:
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Summary: Some aggregation functions change the case of nested
field names
Key: SPARK-21459
URL: https://issues.apache.org/jira/browse/SPARK-21459
Project: Spark
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Apache Spark commented on SPARK-21457:
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User 'cloud-fan' has created a pull request
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Apache Spark reassigned SPARK-21457:
Assignee: Wenchen Fan (was: Apache Spark)
> ExternalCatalog.listPartitions should correct
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Apache Spark reassigned SPARK-21457:
Assignee: Apache Spark (was: Wenchen Fan)
> ExternalCatalog.listPartitions should correct
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Susan X. Huynh commented on SPARK-21419:
I split this into two sub-tasks: (1) mak
Susan X. Huynh created SPARK-21458:
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Summary: Tear down the framework when failover_timeout > 0 (Mesos
cluster mode)
Key: SPARK-21458
URL: https://issues.apache.org/jira/browse/SPARK-21458
Project: S
Wenchen Fan created SPARK-21457:
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Summary: ExternalCatalog.listPartitions should correctly handle
partition values with dot
Key: SPARK-21457
URL: https://issues.apache.org/jira/browse/SPARK-21457
Projec
Susan X. Huynh created SPARK-21456:
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Summary: Make the driver failover_timeout configurable (Mesos
cluster mode)
Key: SPARK-21456
URL: https://issues.apache.org/jira/browse/SPARK-21456
Project: Spark
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Xianyang Liu updated SPARK-21455:
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Description:
Currently, when there is a `RpcFailure` need be sent back to client, we call
`RpcCa
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Xianyang Liu updated SPARK-21455:
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Description:
Currently, when there is a `RpcFailure` need be sent back to client, we call
`RpcCa
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Xianyang Liu updated SPARK-21455:
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Description:
Currently, when there is a `RpcFailure` need be sent back to client, we call
`RpcCa
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Xianyang Liu updated SPARK-21455:
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Description:
Currently, when there is a `RpcFailure` need be sent back to client, we call
`RpcCa
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Xianyang Liu updated SPARK-21455:
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Description:
Currently, when there is a `RpcFailure` need be sent back to client, we call
`RpcCa
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Xianyang Liu updated SPARK-21455:
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Description:
Currently, when there is a `RpcFailure` need be sent back to client, we call
`RpcCa
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Xianyang Liu updated SPARK-21455:
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Description:
Currently, when there is a `RpcFailure` need be sent back to client, we call
`RpcCa
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Apache Spark reassigned SPARK-21455:
Assignee: Apache Spark
> RpcFailure should be call on RpcResponseCallback.onFailure
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https://issues.apache.org/jira/browse/SPARK-15703?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16091531#comment-16091531
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Thomas Graves commented on SPARK-15703:
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It should not be breaking dynamic allocati
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Apache Spark commented on SPARK-21455:
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User 'ConeyLiu' has created a pull request f
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Apache Spark reassigned SPARK-21455:
Assignee: (was: Apache Spark)
> RpcFailure should be call on RpcResponseCallback.onFai
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https://issues.apache.org/jira/browse/SPARK-21420?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiang Gao updated SPARK-21420:
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Description:
Python's array type {{q}} and {{Q}} are currently not supported by
{{net.razorvine.pickle
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https://issues.apache.org/jira/browse/SPARK-21420?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiang Gao updated SPARK-21420:
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Description:
Python's array type {{q}} and {{Q}} are currently not supported by
{{net.razorvine.pickle
Xianyang Liu created SPARK-21455:
Summary: RpcFailure should be call on RpcResponseCallback.onFailure
Key: SPARK-21455
URL: https://issues.apache.org/jira/browse/SPARK-21455
Project: Spark
Is
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https://issues.apache.org/jira/browse/SPARK-20383?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16091524#comment-16091524
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Wenchen Fan commented on SPARK-20383:
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This seems like an improvement for the existin
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https://issues.apache.org/jira/browse/SPARK-21454?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16091462#comment-16091462
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Feng Zhu commented on SPARK-21454:
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I don't think it is an issue.
The condition for Dec
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https://issues.apache.org/jira/browse/SPARK-20383?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16091454#comment-16091454
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Xiaochen Ouyang commented on SPARK-20383:
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[~cloud_fan] Hello, whether the type o
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https://issues.apache.org/jira/browse/SPARK-18226?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16091382#comment-16091382
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Kirti commented on SPARK-18226:
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Is there any way around to handle this issue in SparkR?
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Pablo Panero commented on SPARK-21453:
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[~srowen] could you point me to the mailing
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Karim Wadie updated SPARK-21454:
Description:
Given a parquet file with a decimal (38,4) field. One can read it into a
dataframe bu
Karim Wadie created SPARK-21454:
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Summary: Decimal up cast to higher scale fails while reading
parquet to Dataset
Key: SPARK-21454
URL: https://issues.apache.org/jira/browse/SPARK-21454
Project: Spark
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