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Apache Spark reassigned SPARK-16703:
Assignee: Apache Spark (was: Cheng Lian)
> Extra space in WindowSpecDefinition SQL
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Apache Spark commented on SPARK-16703:
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User 'liancheng' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16703:
Assignee: Cheng Lian (was: Apache Spark)
> Extra space in WindowSpecDefinition SQL
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Cheng Lian updated SPARK-16703:
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Description:
For a {{WindowSpecDefinition}} whose {{partitionSpec}} is empty, there's an
extra
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Cheng Lian updated SPARK-16703:
---
Description:
For a {{WindowSpecDefinition}} whose {{partitionSpec}} is empty, there's an
extra
Cheng Lian created SPARK-16703:
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Summary: Extra space in WindowSpecDefinition SQL representation
Key: SPARK-16703
URL: https://issues.apache.org/jira/browse/SPARK-16703
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-16685?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16685:
Assignee: Apache Spark
> audit release docs are ambiguous
>
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Apache Spark commented on SPARK-16685:
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User 'rxin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16685:
Assignee: (was: Apache Spark)
> audit release docs are ambiguous
>
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Reynold Xin updated SPARK-16699:
Description:
In the following code in `VectorizedHashMapGenerator.scala`:
{code}
def
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Reynold Xin resolved SPARK-16699.
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Resolution: Fixed
Assignee: Qifan Pu
Fix Version/s: (was: 2.0.0)
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Angus Gerry updated SPARK-16702:
Attachment: SparkThreadsBlocked.txt
> Driver hangs after executors are lost
>
Angus Gerry created SPARK-16702:
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Summary: Driver hangs after executors are lost
Key: SPARK-16702
URL: https://issues.apache.org/jira/browse/SPARK-16702
Project: Spark
Issue Type: Bug
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Apache Spark commented on SPARK-16534:
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User 'jerryshao' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16534:
Assignee: (was: Apache Spark)
> Kafka 0.10 Python support
> -
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Apache Spark reassigned SPARK-16534:
Assignee: Apache Spark
> Kafka 0.10 Python support
> -
>
>
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Josh Rosen updated SPARK-5581:
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Assignee: Josh Rosen
> When writing sorted map output file, avoid open / close between each partition
>
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Josh Rosen updated SPARK-5581:
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Assignee: Brian Cho (was: Josh Rosen)
> When writing sorted map output file, avoid open / close
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keliang edited comment on SPARK-16603 at 7/25/16 2:46 AM:
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Hi, I test this
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keliang commented on SPARK-16603:
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Hi, I test this feature with spark-2.0.1-snapshot:
first. create
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Josh Rosen resolved SPARK-5581.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 13382
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Apache Spark reassigned SPARK-16698:
Assignee: Apache Spark
> json parsing regression - "." in keys
>
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Apache Spark reassigned SPARK-16698:
Assignee: (was: Apache Spark)
> json parsing regression - "." in keys
>
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Apache Spark commented on SPARK-16698:
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User 'HyukjinKwon' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-16701?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15391247#comment-15391247
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Apache Spark commented on SPARK-16701:
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User 'lovexi' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16701:
Assignee: (was: Apache Spark)
> Make parameters configurable in BlockManager
>
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Apache Spark reassigned SPARK-16701:
Assignee: Apache Spark
> Make parameters configurable in BlockManager
>
YangyangLiu created SPARK-16701:
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Summary: Make parameters configurable in BlockManager
Key: SPARK-16701
URL: https://issues.apache.org/jira/browse/SPARK-16701
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-16700?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sylvain Zimmer updated SPARK-16700:
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Component/s: (was: Spark Core)
> StructType doesn't accept Python dicts anymore
>
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Sylvain Zimmer updated SPARK-16700:
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Description:
Hello,
I found this issue while testing my codebase with 2.0.0-rc5
StructType
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Sylvain Zimmer updated SPARK-16700:
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Component/s: PySpark
> StructType doesn't accept Python dicts anymore
>
Sylvain Zimmer created SPARK-16700:
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Summary: StructType doesn't accept Python dicts anymore
Key: SPARK-16700
URL: https://issues.apache.org/jira/browse/SPARK-16700
Project: Spark
Issue
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Dongjoon Hyun commented on SPARK-16699:
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Hi, [~qifan].
Nice catch! By the way, usually, only
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Wenchen Fan resolved SPARK-16645.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14283
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Hyukjin Kwon commented on SPARK-16698:
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It seems it does not work for all `FileFormat` data sources.
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Hyukjin Kwon commented on SPARK-16698:
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FYI, this does not happen when it is read from json RDD. Let
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Apache Spark reassigned SPARK-16699:
Assignee: Apache Spark
> Fix performance bug in hash aggregate on long string keys
>
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Apache Spark commented on SPARK-16699:
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User 'ooq' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16699?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16699:
Assignee: (was: Apache Spark)
> Fix performance bug in hash aggregate on long string
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https://issues.apache.org/jira/browse/SPARK-16699?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Qifan Pu updated SPARK-16699:
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Description:
In the following code in `VectorizedHashMapGenerator.scala`:
```
def hashBytes(b:
Qifan Pu created SPARK-16699:
Summary: Fix performance bug in hash aggregate on long string keys
Key: SPARK-16699
URL: https://issues.apache.org/jira/browse/SPARK-16699
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-16685?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15391168#comment-15391168
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Patrick Wendell commented on SPARK-16685:
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These scripts are pretty old and I'm not sure if
TobiasP created SPARK-16698:
---
Summary: json parsing regression - "." in keys
Key: SPARK-16698
URL: https://issues.apache.org/jira/browse/SPARK-16698
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-16589?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15391108#comment-15391108
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Maciej Szymkiewicz commented on SPARK-16589:
[~holdenk] Makes sense. I was thinking more
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Chandana Sapparapu edited comment on SPARK-12378 at 7/24/16 3:46 PM:
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Sean Owen commented on SPARK-16695:
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`sbt -Dscala-2.11 package` works for 1.6.2 on my Mac. So does
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Mohamed Baddar commented on SPARK-3246:
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[~sheridanrawlins] Working on it soon, most probably on 1st
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Weichen Xu updated SPARK-16696:
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Issue Type: Improvement (was: Bug)
> unused broadcast variables should call destroy instead of
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Apache Spark reassigned SPARK-16697:
Assignee: Apache Spark
> redundant RDD computation in LDAOptimizer
>
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Apache Spark commented on SPARK-16697:
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User 'WeichenXu123' has created a pull request for this
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Apache Spark reassigned SPARK-16697:
Assignee: (was: Apache Spark)
> redundant RDD computation in LDAOptimizer
>
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Weichen Xu updated SPARK-16697:
---
Description:
In mllib.clustering.LDAOptimizer
the submitMiniBatch method,
the stats: RDD do not
Weichen Xu created SPARK-16697:
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Summary: redundant RDD computation in LDAOptimizer
Key: SPARK-16697
URL: https://issues.apache.org/jira/browse/SPARK-16697
Project: Spark
Issue Type:
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Weichen Xu updated SPARK-16696:
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Description:
Unused broadcast variables should call destroy() instead of unpersist() so that
the
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Apache Spark commented on SPARK-16696:
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User 'WeichenXu123' has created a pull request for this
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Apache Spark reassigned SPARK-16696:
Assignee: (was: Apache Spark)
> unused broadcast variables should call destroy
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Apache Spark reassigned SPARK-16696:
Assignee: Apache Spark
> unused broadcast variables should call destroy instead of
Weichen Xu created SPARK-16696:
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Summary: unused broadcast variables should call destroy instead of
unpersist
Key: SPARK-16696
URL: https://issues.apache.org/jira/browse/SPARK-16696
Project: Spark
Eran Mizrahi created SPARK-16695:
Summary: compile spark with scala 2.11 is not working (with Sbt)
Key: SPARK-16695
URL: https://issues.apache.org/jira/browse/SPARK-16695
Project: Spark
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Sean Owen updated SPARK-16416:
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Assignee: Mikael Ståldal
> Logging in shutdown hook does not work properly with Log4j 2.x
>
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Sean Owen resolved SPARK-16416.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14320
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Sean Owen updated SPARK-16667:
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Target Version/s: (was: 1.6.0)
> Spark driver executor dont release unused memory
>
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Sean Owen updated SPARK-16692:
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Target Version/s: (was: 1.6.0)
> multilabel classification to DataFrame, ML
>
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Sean Owen updated SPARK-16463:
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Assignee: Dongjoon Hyun
> Support `truncate` option in Overwrite mode for JDBC DataFrameWriter
>
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Sean Owen resolved SPARK-16410.
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Resolution: Duplicate
> DataFrameWriter's jdbc method drops table in overwrite mode
>
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Sean Owen resolved SPARK-16463.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14086
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Sean Owen commented on SPARK-16685:
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[~pwendell] I think you put this in place; do you know if
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Sean Owen resolved SPARK-16541.
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Resolution: Cannot Reproduce
> SparkTC application could not shutdown successfully
>
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Sean Owen updated SPARK-16664:
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Target Version/s: 2.0.1
> Spark 1.6.2 - Persist call on Data frames with more than 200 columns is
>
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Sean Owen resolved SPARK-16676.
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Resolution: Not A Problem
If your executors aren't starting, then you have another earlier problem.
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Sean Owen resolved SPARK-16573.
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Resolution: Won't Fix
> executor stderr processing tools
> -
>
>
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Sean Owen resolved SPARK-16574.
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Resolution: Not A Problem
> Distribute computing to each node based on certain hints
>
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Sean Owen resolved SPARK-16601.
---
Resolution: Not A Problem
> Spark2.0 fail in creating table using sql statement "create table
>
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Apache Spark reassigned SPARK-16694:
Assignee: Apache Spark (was: Sean Owen)
> Use for/foreach rather than map for Unit
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https://issues.apache.org/jira/browse/SPARK-16694?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16694:
Assignee: Sean Owen (was: Apache Spark)
> Use for/foreach rather than map for Unit
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https://issues.apache.org/jira/browse/SPARK-16694?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15390982#comment-15390982
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Apache Spark commented on SPARK-16694:
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User 'srowen' has created a pull request for this issue:
Sean Owen created SPARK-16694:
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Summary: Use for/foreach rather than map for Unit expressions
whose side effects are required
Key: SPARK-16694
URL: https://issues.apache.org/jira/browse/SPARK-16694
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