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Sean Owen resolved SPARK-21415.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18635
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Sean Owen commented on SPARK-21425:
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[~zsxwing] if that's true, doesn't it imply that multiple threads
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AnfengYuan updated SPARK-21452:
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Description:
When I use beeline to connect to spark thriftserver, there are two SessionState
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Pablo Panero updated SPARK-21453:
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Description:
On a streaming job using built-in kafka source and sink (over SSL), with I am
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Sean Owen resolved SPARK-21453.
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Resolution: Invalid
This looks like a Kafka question or issue, not a Spark JIRA. This should start
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Pablo Panero updated SPARK-21453:
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Description:
On a streaming job using built-in kafka source and sink (over SSL), with I am
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Hyukjin Kwon resolved SPARK-21392.
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Resolution: Invalid
Let's start this on mailing list. I think we are lost around here about
AnfengYuan created SPARK-21452:
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Summary: SessionState in HiveClientImpl is never closed
Key: SPARK-21452
URL: https://issues.apache.org/jira/browse/SPARK-21452
Project: Spark
Issue Type: Bug
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Pablo Panero updated SPARK-21453:
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Description:
On a streaming job using built-in kafka source and sink (over SSL), with I am
Pablo Panero created SPARK-21453:
Summary: Streaming kafka source (structured spark)
Key: SPARK-21453
URL: https://issues.apache.org/jira/browse/SPARK-21453
Project: Spark
Issue Type: Bug
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Sean Owen resolved SPARK-20395.
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Resolution: Won't Fix
Target Version/s: (was: 2.3.0)
It looks like we can't support
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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
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AnfengYuan updated SPARK-21452:
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Description:
When I use beeline to connect to spark thriftserver, there are two SessionState
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Sean Owen resolved SPARK-21398.
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Resolution: Cannot Reproduce
There's not enough detail here to reproduce or establish there's a
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Sean Owen resolved SPARK-21424.
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Resolution: Not A Problem
> Blockmanger has memory problems in high concurrent scenes
>
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Assaf Mendelson commented on SPARK-17333:
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Originally when I suggested this, I envisioned adding
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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Hyukjin Kwon commented on SPARK-21450:
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I have some time to test this on Scala/Python:
*Python:*
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Hyukjin Kwon commented on SPARK-21450:
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[~falaki], so, if this describes
{code}
>
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Apache Spark reassigned SPARK-21451:
Assignee: Apache Spark
> HiveConf in SparkSQLCLIDriver doesn't respect
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Apache Spark reassigned SPARK-21451:
Assignee: (was: Apache Spark)
> HiveConf in SparkSQLCLIDriver doesn't respect
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Hyukjin Kwon edited comment on SPARK-21450 at 7/18/17 6:35 AM:
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[~falaki],
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Apache Spark commented on SPARK-21451:
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User 'yaooqinn' has created a pull request for this issue:
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Hossein Falaki resolved SPARK-21450.
Resolution: Not A Bug
> List of NA is flattened inside a SparkR struct type
>
Kent Yao created SPARK-21451:
Summary: HiveConf in SparkSQLCLIDriver doesn't respect
spark.hadoop.some.hive.variables
Key: SPARK-21451
URL: https://issues.apache.org/jira/browse/SPARK-21451
Project:
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Bojan Babic commented on SPARK-19908:
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[~skp33] got the same error while running RowMatrix transpose.
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Hossein Falaki commented on SPARK-21450:
Thanks guys. I will close it as not an issue.
> List of
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Thomas Graves commented on SPARK-15703:
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It should not be breaking dynamic allocation, if it is,
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Apache Spark commented on SPARK-21455:
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User 'ConeyLiu' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-18226?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=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?
> SparkR
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Pablo Panero commented on SPARK-21453:
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[~srowen] could you point me to the mailing list?
I checked
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Wenchen Fan commented on SPARK-20383:
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This seems like an improvement for the existing CREATE
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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
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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
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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
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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
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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
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https://issues.apache.org/jira/browse/SPARK-20383?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16091454#comment-16091454
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Xiaochen Ouyang commented on SPARK-20383:
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[~cloud_fan] Hello, whether the type of this issue can
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
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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
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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
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https://issues.apache.org/jira/browse/SPARK-21454?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=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 Decimal A casting
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Apache Spark reassigned SPARK-21455:
Assignee: (was: Apache Spark)
> RpcFailure should be call on
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Apache Spark reassigned SPARK-21455:
Assignee: Apache Spark
> RpcFailure should be call on RpcResponseCallback.onFailure
>
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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
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https://issues.apache.org/jira/browse/SPARK-21455?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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
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:
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https://issues.apache.org/jira/browse/SPARK-21457?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16091684#comment-16091684
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Apache Spark commented on SPARK-21457:
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User 'cloud-fan' has created a pull request for this issue:
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Apache Spark reassigned SPARK-21457:
Assignee: Apache Spark (was: Wenchen Fan)
> ExternalCatalog.listPartitions should
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Apache Spark reassigned SPARK-21457:
Assignee: Wenchen Fan (was: Apache Spark)
> ExternalCatalog.listPartitions should
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:
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
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Susan X. Huynh commented on SPARK-21419:
I split this into two sub-tasks: (1) making the
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Marcelo Vanzin resolved SPARK-15526.
Resolution: Fixed
Assignee: Sean Owen
Fix Version/s: 2.3.0
> Shade JPMML
>
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
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Ruslan Dautkhanov commented on SPARK-15703:
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[~tgraves], filed SPARK-21460. Thanks.
> Make
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 reassigned SPARK-21447:
Assignee: Apache Spark
> Spark history server fails to render compressed inprogress
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Apache Spark reassigned SPARK-21447:
Assignee: (was: Apache Spark)
> Spark history server fails to render compressed
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Apache Spark commented on SPARK-21447:
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User 'ericvandenbergfb' has created a pull request for this
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Stuart Reynolds commented on SPARK-21392:
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Okie dokey:
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Stuart Reynolds edited comment on SPARK-21392 at 7/18/17 5:30 PM:
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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
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Shixiong Zhu commented on SPARK-21460:
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[~Tagar] Right. SPARK-18838 probably will create a dedicated
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Shixiong Zhu edited comment on SPARK-21378 at 7/18/17 8:01 PM:
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The data
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Shixiong Zhu edited comment on SPARK-21378 at 7/18/17 8:00 PM:
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The data
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Shixiong Zhu commented on SPARK-21378:
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The data must already be in Kafka when executors try to
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
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
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Dimuthu Wickramanayake commented on SPARK-21439:
Can i start work on this issue?
>
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Ruslan Dautkhanov commented on SPARK-21460:
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[~zsxwing], according to [~tgraves] spark dynamic
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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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Shixiong Zhu commented on SPARK-21460:
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Make sense. Reopened it.
> Spark dynamic allocation breaks
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Marcelo Vanzin resolved SPARK-21408.
Resolution: Fixed
Assignee: Marcelo Vanzin
Fix Version/s: 2.3.0
> Default
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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
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Apache Spark commented on SPARK-21456:
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User 'susanxhuynh' has created a pull request for this
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Apache Spark reassigned SPARK-21456:
Assignee: (was: Apache Spark)
> Make the driver failover_timeout configurable (Mesos
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Apache Spark reassigned SPARK-21456:
Assignee: Apache Spark
> Make the driver failover_timeout configurable (Mesos cluster
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https://issues.apache.org/jira/browse/SPARK-21411?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Marcelo Vanzin resolved SPARK-21411.
Resolution: Fixed
Assignee: Saisai Shao
Fix Version/s: 2.3.0
> Failed to
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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
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Apache Spark reassigned SPARK-21463:
Assignee: Apache Spark
> Output of StructuredStreaming tables don't respect user
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Apache Spark commented on SPARK-21462:
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User 'tdas' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-21462?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21462:
Assignee: Apache Spark (was: Tathagata Das)
> Add batchId to the json of
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Apache Spark commented on SPARK-21463:
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User 'brkyvz' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-21463?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21463:
Assignee: (was: Apache Spark)
> Output of StructuredStreaming tables don't respect
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Ruslan Dautkhanov commented on SPARK-21460:
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[~zsxwing] can we keep this jira open?
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Shixiong Zhu edited comment on SPARK-21425 at 7/18/17 7:41 PM:
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[~srowen]
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Apache Spark reassigned SPARK-21462:
Assignee: Tathagata Das (was: Apache Spark)
> Add batchId to the json of
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:
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https://issues.apache.org/jira/browse/SPARK-21411?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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
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https://issues.apache.org/jira/browse/SPARK-21425?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16092064#comment-16092064
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Shixiong Zhu commented on SPARK-21425:
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[~srowen]
1. Long/DoubleAccumulator assumes that there is
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https://issues.apache.org/jira/browse/SPARK-21462?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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
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https://issues.apache.org/jira/browse/SPARK-21464?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16092456#comment-16092456
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Apache Spark commented on SPARK-21464:
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User 'tdas' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-21464?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21464:
Assignee: Tathagata Das (was: Apache Spark)
> Minimize deprecation warnings caused by
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https://issues.apache.org/jira/browse/SPARK-21464?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21464:
Assignee: Apache Spark (was: Tathagata Das)
> Minimize deprecation warnings caused by
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https://issues.apache.org/jira/browse/SPARK-21273?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16092373#comment-16092373
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Apache Spark commented on SPARK-21273:
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User 'gatorsmile' has created a pull request for this issue:
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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https://issues.apache.org/jira/browse/SPARK-21457?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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
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https://issues.apache.org/jira/browse/SPARK-21333?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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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https://issues.apache.org/jira/browse/SPARK-21439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16092586#comment-16092586
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Liang-Chi Hsieh commented on SPARK-21439:
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If there's no pr submitted and no one claims working
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