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Hyukjin Kwon commented on SPARK-9135:
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It still happens in the master branch.
> Filte
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Hyukjin Kwon resolved SPARK-6645.
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Resolution: Not A Problem
It seems already documented in Scaladoc/Javadoc.
> StructField/StructT
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Sujith updated SPARK-19222:
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Description:
Performance/memory bottle neck occurs in the below mentioned query
case 1:
create table t1 as se
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Liang-Chi Hsieh commented on SPARK-19223:
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Hi [~someonehere15],
For the issue on
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Hyukjin Kwon commented on SPARK-4862:
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[~aniket] Would you be able to try this in 2.x
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Apache Spark reassigned SPARK-19223:
Assignee: (was: Apache Spark)
> InputFileBlockHolder doesn't work with Python UDF for
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Apache Spark commented on SPARK-19223:
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User 'viirya' has created a pull request for
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https://issues.apache.org/jira/browse/SPARK-19223?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19223:
Assignee: Apache Spark
> InputFileBlockHolder doesn't work with Python UDF for datasource
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https://issues.apache.org/jira/browse/SPARK-2620?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15822726#comment-15822726
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Hyukjin Kwon commented on SPARK-2620:
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^ I can still reproduce this.
> case class can
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https://issues.apache.org/jira/browse/SPARK-3249?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15822722#comment-15822722
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Hyukjin Kwon commented on SPARK-3249:
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It prints as below after building this via {{je
Liang-Chi Hsieh created SPARK-19223:
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Summary: InputFileBlockHolder doesn't work with Python UDF for
datasource other than FileFormat
Key: SPARK-19223
URL: https://issues.apache.org/jira/browse/SPARK-19223
Sujith created SPARK-19222:
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Summary: Limit Query Performance issue
Key: SPARK-19222
URL: https://issues.apache.org/jira/browse/SPARK-19222
Project: Spark
Issue Type: Bug
Components: SQL
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Hyukjin Kwon commented on SPARK-2356:
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Is this really Spark-related issue?
> Exceptio
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https://issues.apache.org/jira/browse/SPARK-2153?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-2153.
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Resolution: Not A Problem
It seems we don't have the test in the master anymore. It seems related
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https://issues.apache.org/jira/browse/SPARK-19221?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15822693#comment-15822693
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Apache Spark commented on SPARK-19221:
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User 'HyukjinKwon' has created a pull reques
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Apache Spark reassigned SPARK-19221:
Assignee: (was: Apache Spark)
> Add winutils binaries to Path in AppVeyor for Hadoop l
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https://issues.apache.org/jira/browse/SPARK-19221?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19221:
Assignee: Apache Spark
> Add winutils binaries to Path in AppVeyor for Hadoop libraries to
Hyukjin Kwon created SPARK-19221:
Summary: Add winutils binaries to Path in AppVeyor for Hadoop
libraries to call native libraries properly
Key: SPARK-19221
URL: https://issues.apache.org/jira/browse/SPARK-19221
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https://issues.apache.org/jira/browse/SPARK-19178?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan updated SPARK-19178:
Fix Version/s: 2.1.1
2.0.3
> convert string of large numbers to int should retur
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https://issues.apache.org/jira/browse/SPARK-19153?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15822661#comment-15822661
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Shuai Lin commented on SPARK-19153:
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I'm working on this ticket, thanks.
> DataFrameWr
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Liang-Chi Hsieh edited comment on SPARK-18667 at 1/14/17 2:00 AM:
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Liang-Chi Hsieh commented on SPARK-18667:
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[~someonehere15],
Yeah, I can reprodu
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https://issues.apache.org/jira/browse/SPARK-19129?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19129:
Assignee: Xiao Li (was: Apache Spark)
> alter table table_name drop partition with a empt
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Apache Spark reassigned SPARK-19129:
Assignee: Apache Spark (was: Xiao Li)
> alter table table_name drop partition with a empt
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Apache Spark commented on SPARK-19129:
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User 'gatorsmile' has created a pull request
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https://issues.apache.org/jira/browse/SPARK-11520?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15822556#comment-15822556
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Ilya Matiach commented on SPARK-11520:
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I've sent a pull request that includes this
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Ilya Matiach commented on SPARK-19208:
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[~srowen] isn't feature hashing (eg HashingT
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Apache Spark commented on SPARK-18821:
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User 'wangmiao1981' has created a pull reque
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https://issues.apache.org/jira/browse/SPARK-18821?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18821:
Assignee: (was: Apache Spark)
> Bisecting k-means wrapper in SparkR
>
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Apache Spark reassigned SPARK-18821:
Assignee: Apache Spark
> Bisecting k-means wrapper in SparkR
> ---
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Bryan Cutler commented on SPARK-18739:
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What about other missing methods from models
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Apache Spark reassigned SPARK-19220:
Assignee: Apache Spark
> SSL redirect handler only redirects the server's root
> -
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Apache Spark reassigned SPARK-19220:
Assignee: (was: Apache Spark)
> SSL redirect handler only redirects the server's root
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Apache Spark commented on SPARK-19220:
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User 'vanzin' has created a pull request for
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Xiao Li commented on SPARK-19129:
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This is actually a bug in Hive. Anyway, Spark can dete
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Andrew Ash updated SPARK-19213:
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Summary: FileSourceScanExec uses SparkSession from HadoopFsRelation
creation time instead of the acti
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Sean Owen resolved SPARK-18568.
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Resolution: Not A Problem
Yes, the result of updating a mutable object in an RDD is undefined. If tha
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Andrew Ray commented on SPARK-18568:
RDD's have the same problem for cached collectio
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https://issues.apache.org/jira/browse/SPARK-19180?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-19180.
Resolution: Fixed
Fix Version/s: 2.0.3
2.1.1
Issue resolved by pull reque
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Michael Armbrust updated SPARK-18682:
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Assignee: Tyson Condie
> Batch Source for Kafka
> --
>
>
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Apache Spark reassigned SPARK-19113:
Assignee: Apache Spark (was: Shixiong Zhu)
> Fix flaky test: o.a.s.sql.streaming.StreamSu
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Apache Spark reassigned SPARK-19113:
Assignee: Shixiong Zhu (was: Apache Spark)
> Fix flaky test: o.a.s.sql.streaming.StreamSu
Marcelo Vanzin created SPARK-19220:
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Summary: SSL redirect handler only redirects the server's root
Key: SPARK-19220
URL: https://issues.apache.org/jira/browse/SPARK-19220
Project: Spark
Iss
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Xiao Li commented on SPARK-19129:
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This is a bug we need to fix. Let me try it. Thanks!
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Xiao Li reassigned SPARK-19129:
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Assignee: Xiao Li
> alter table table_name drop partition with a empty string will drop the whole
>
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Xiao Li updated SPARK-19129:
Priority: Critical (was: Major)
> alter table table_name drop partition with a empty string will drop the
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Xiao Li updated SPARK-19129:
Labels: correctness (was: )
> alter table table_name drop partition with a empty string will drop the whol
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https://issues.apache.org/jira/browse/SPARK-18589?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18589:
Assignee: Apache Spark (was: Davies Liu)
> persist() resolves "java.lang.RuntimeException
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Apache Spark commented on SPARK-18589:
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User 'davies' has created a pull request for
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Apache Spark reassigned SPARK-18589:
Assignee: Davies Liu (was: Apache Spark)
> persist() resolves "java.lang.RuntimeException
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Michael Armbrust closed SPARK-18475.
Resolution: Won't Fix
> Be able to provide higher parallelization for StructuredStreaming K
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Michael Armbrust updated SPARK-18970:
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Description:
Spark streaming application uses S3 files as streaming sources. After runnin
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Davies Liu updated SPARK-18589:
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Priority: Critical (was: Minor)
> persist() resolves "java.lang.RuntimeException: Invalid PythonUDF
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Davies Liu reassigned SPARK-18589:
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Assignee: Davies Liu
> persist() resolves "java.lang.RuntimeException: Invalid PythonUDF
> (.
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Michael Allman commented on SPARK-17993:
[~emre.colak] FYI https://github.com/apa
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Robert Kruszewski updated SPARK-19213:
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Description:
If you look at
https://github.com/apache/spark/blob/master/sql/core/src/m
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Robert Kruszewski updated SPARK-19213:
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Description:
If you look at
https://github.com/apache/spark/blob/master/sql/core/src/m
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Robert Kruszewski updated SPARK-19213:
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Description:
If you look at
https://github.com/apache/spark/blob/master/sql/core/src/m
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Apache Spark commented on SPARK-19219:
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User 'nicklavers' has created a pull request
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Apache Spark reassigned SPARK-19219:
Assignee: Apache Spark
> Parquet log output overly verbose by default
> --
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Apache Spark reassigned SPARK-19219:
Assignee: (was: Apache Spark)
> Parquet log output overly verbose by default
> ---
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Sean Owen commented on SPARK-19217:
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It makes some sense to me, as I also find I write
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Xiao Li commented on SPARK-19209:
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This could be caused by the classLoader issue. Anyway,
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Robert Kruszewski updated SPARK-19213:
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Description:
If you look at
https://github.com/apache/spark/blob/master/sql/core/src/m
Nicholas created SPARK-19219:
Summary: Parquet log output overly verbose by default
Key: SPARK-19219
URL: https://issues.apache.org/jira/browse/SPARK-19219
Project: Spark
Issue Type: Bug
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Xiao Li commented on SPARK-19209:
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I am trying to find a workaround for your case. Could
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Xiao Li edited comment on SPARK-19209 at 1/13/17 7:10 PM:
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Do yo
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Xiao Li commented on SPARK-19209:
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Did you also hit the same exception `java.sql.SQLExcep
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Apache Spark commented on SPARK-19218:
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User 'dongjoon-hyun' has created a pull requ
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Apache Spark reassigned SPARK-19218:
Assignee: (was: Apache Spark)
> SET command should show a sorted result
>
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Apache Spark reassigned SPARK-19218:
Assignee: Apache Spark
> SET command should show a sorted result
> ---
Dongjoon Hyun created SPARK-19218:
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Summary: SET command should show a sorted result
Key: SPARK-19218
URL: https://issues.apache.org/jira/browse/SPARK-19218
Project: Spark
Issue Type: Bug
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Xiao Li commented on SPARK-19209:
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Thanks for reporting the regression. Let me take a loo
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Sean Owen deleted SPARK-19205:
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> "No suitable driver" on first try
> -
>
> Key: SPARK-192
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Sean Owen deleted SPARK-19204:
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> "No suitable driver" on first try
> -
>
> Key: SPARK-192
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Xiao Li edited comment on SPARK-19209 at 1/13/17 6:50 PM:
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It s
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Xiao Li reopened SPARK-19209:
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> "No suitable driver" on first try
> -
>
> Key: SPARK-19209
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Xiao Li commented on SPARK-19209:
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It sounds like you create multiple duplicate JIRAs: S
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https://issues.apache.org/jira/browse/SPARK-19113?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu updated SPARK-19113:
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Fix Version/s: (was: 2.1.1)
(was: 2.2.0)
> Fix flaky test: o.a.s.sql.s
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Shixiong Zhu reopened SPARK-19113:
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Reopened it as it's still flaky
> Fix flaky test: o.a.s.sql.streaming.StreamSuite fatal errors fro
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Xiao Li closed SPARK-19209.
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Resolution: Duplicate
> "No suitable driver" on first try
> -
>
>
Nicholas Chammas created SPARK-19217:
Summary: Offer easy cast from vector to array
Key: SPARK-19217
URL: https://issues.apache.org/jira/browse/SPARK-19217
Project: Spark
Issue Type: Impr
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Dongjoon Hyun closed SPARK-19131.
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Resolution: Invalid
Hi, [~licl].
I'm closing this issue because it's already supported feature.
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Apache Spark commented on SPARK-4502:
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User 'mallman' has created a pull request for t
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Michael Allman commented on SPARK-4502:
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Hi Guys,
I'm going to submit a PR for this
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Nicholas Chammas commented on SPARK-19216:
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cc [~josephkb] - Is this a valid gap
Nicholas Chammas created SPARK-19216:
Summary: LogisticRegressionModel is missing getThreshold()
Key: SPARK-19216
URL: https://issues.apache.org/jira/browse/SPARK-19216
Project: Spark
Iss
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https://issues.apache.org/jira/browse/SPARK-18335?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shivaram Venkataraman resolved SPARK-18335.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
Issue
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https://issues.apache.org/jira/browse/SPARK-19186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15822053#comment-15822053
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Dongjoon Hyun commented on SPARK-19186:
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Hi, [~schulewa].
It looks like
`net.sourc
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https://issues.apache.org/jira/browse/SPARK-19092?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li resolved SPARK-19092.
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Resolution: Fixed
Fix Version/s: 2.2.0
> Save() API of DataFrameWriter should not scan all the sav
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https://issues.apache.org/jira/browse/SPARK-19092?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li reassigned SPARK-19092:
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Assignee: Xiao Li
> Save() API of DataFrameWriter should not scan all the saved files
>
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https://issues.apache.org/jira/browse/SPARK-17237?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li resolved SPARK-17237.
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Resolution: Fixed
Assignee: Takeshi Yamamuro
Fix Version/s: 2.2.0
2.1.1
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https://issues.apache.org/jira/browse/SPARK-19142?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li resolved SPARK-19142.
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Resolution: Fixed
Assignee: Miao Wang
Fix Version/s: 2.2.0
> spark.kmeans should take see
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https://issues.apache.org/jira/browse/SPARK-19178?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li resolved SPARK-19178.
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Resolution: Fixed
Fix Version/s: 2.2.0
> convert string of large numbers to int should return null
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https://issues.apache.org/jira/browse/SPARK-13857?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15822021#comment-15822021
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Danilo Ascione commented on SPARK-13857:
I have a pipeline similar to [~abudd2014
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https://issues.apache.org/jira/browse/SPARK-18687?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li resolved SPARK-18687.
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Resolution: Fixed
Assignee: Vinayak Joshi
Fix Version/s: 2.2.0
2.1.1
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https://issues.apache.org/jira/browse/SPARK-19189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19189:
Assignee: (was: Apache Spark)
> Optimize CartesianRDD to avoid parent RDD partition re
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https://issues.apache.org/jira/browse/SPARK-19189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19189:
Assignee: (was: Apache Spark)
> Optimize CartesianRDD to avoid parent RDD partition re
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https://issues.apache.org/jira/browse/SPARK-19189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19189:
Assignee: Apache Spark
> Optimize CartesianRDD to avoid parent RDD partition re-computatio
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https://issues.apache.org/jira/browse/SPARK-19189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19189:
Assignee: Apache Spark
> Optimize CartesianRDD to avoid parent RDD partition re-computatio
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