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Sameer Agarwal updated SPARK-22739:
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Priority: Major (was: Critical)
> Additional Expression Support for Objects
>
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Sameer Agarwal resolved SPARK-23020.
Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 20223
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Sameer Agarwal reassigned SPARK-23020:
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Assignee: Marcelo Vanzin
> Flaky Test:
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Apache Spark commented on SPARK-23085:
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User 'zhengruifeng' has created a pull request for this
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Apache Spark reassigned SPARK-23085:
Assignee: (was: Apache Spark)
> API parity for mllib.linalg.Vectors.sparse
>
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Apache Spark reassigned SPARK-23085:
Assignee: Apache Spark
> API parity for mllib.linalg.Vectors.sparse
>
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zhengruifeng updated SPARK-23085:
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Description:
Both {{ML.Vectors#sparse(size: {color:#cc7832}Int, {color}indices:
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zhengruifeng updated SPARK-23085:
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Description:
Both {ML.Vectors#sparse
size: {color:#cc7832}Int, {color}indices:
zhengruifeng created SPARK-23085:
Summary: API parity for mllib.linalg.Vectors.sparse
Key: SPARK-23085
URL: https://issues.apache.org/jira/browse/SPARK-23085
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-22956?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu updated SPARK-22956:
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Fix Version/s: (was: 2.3.0)
2.4.0
2.3.1
> Union Stream
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Shixiong Zhu resolved SPARK-22956.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 20150
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Shixiong Zhu reassigned SPARK-22956:
Assignee: Li Yuanjian
> Union Stream Failover Cause `IllegalStateException`
>
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Anirudh Ramanathan updated SPARK-19700:
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Issue Type: Improvement (was: Bug)
> Design an API for pluggable scheduler
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Anirudh Ramanathan commented on SPARK-23083:
opened
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Hyukjin Kwon resolved SPARK-23080.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 20271
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Hyukjin Kwon reassigned SPARK-23080:
Assignee: Marco Gaido
> Improve error message for built-in functions
>
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https://issues.apache.org/jira/browse/SPARK-22624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16326707#comment-16326707
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xubo245 commented on SPARK-22624:
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[~smilegator] ok, I will finished it.
> Expose range partitioning
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zhoukang commented on SPARK-23076:
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Yes,may it should be an improvement?Since i suppose some other may
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zhoukang updated SPARK-23076:
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Issue Type: Improvement (was: Bug)
> When we call cache() on RDD which depends on ShuffleRowRDD, we
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Apache Spark commented on SPARK-20120:
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User 'wangyum' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-23035?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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xubo245 updated SPARK-23035:
Description:
Problem: it throw TempTableAlreadyExistsException and output "Temporary table
'$table'
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xubo245 updated SPARK-23035:
Description:
Problem: it throw TempTableAlreadyExistsException and output "Temporary table
'$table'
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xubo245 updated SPARK-23035:
Description:
Problem: it throw TempTableAlreadyExistsException and output "Temporary table
'$table'
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xubo245 updated SPARK-23035:
Description:
Problem: it throw TempTableAlreadyExistsException and output "Temporary table
'$table'
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xubo245 updated SPARK-23035:
Summary: Fix improper information of TempTableAlreadyExistsException (was:
Fix warning: TEMPORARY TABLE
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https://issues.apache.org/jira/browse/SPARK-23000?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16326663#comment-16326663
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Apache Spark commented on SPARK-23000:
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User 'sameeragarwal' has created a pull request for this
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Xiao Li updated SPARK-23084:
Description:
Add the new APIs (introduced by https://github.com/apache/spark/pull/18814) to
PySpark. Also
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Xiao Li updated SPARK-23084:
Description:
Add the new APIs (introduced by https://github.com/apache/spark/pull/18814) to
PySpark
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Xiao Li updated SPARK-23084:
Environment: (was: Add the new APIs (introduced by
https://github.com/apache/spark/pull/18814) to
Xiao Li created SPARK-23084:
---
Summary: Add unboundedPreceding(), unboundedFollowing() and
currentRow() to PySpark
Key: SPARK-23084
URL: https://issues.apache.org/jira/browse/SPARK-23084
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-23083?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16326635#comment-16326635
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Sean Owen commented on SPARK-23083:
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Yes that's fine. If it only makes sense after the 2.3 release then
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Anirudh Ramanathan commented on SPARK-23083:
Thanks. I'll create a PR against that repo.
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Reynold Xin commented on SPARK-23083:
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Here's the website repo:
Anirudh Ramanathan created SPARK-23083:
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Summary: Adding Kubernetes as an option to
https://spark.apache.org/
Key: SPARK-23083
URL: https://issues.apache.org/jira/browse/SPARK-23083
Project:
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Apache Spark commented on SPARK-23078:
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User 'ozzieba' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23078:
Assignee: Apache Spark
> Allow Submitting Spark Thrift Server in Cluster Mode
>
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Apache Spark reassigned SPARK-23078:
Assignee: (was: Apache Spark)
> Allow Submitting Spark Thrift Server in Cluster Mode
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https://issues.apache.org/jira/browse/SPARK-23074?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16326489#comment-16326489
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Ruslan Dautkhanov commented on SPARK-23074:
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Yep, there are use cases where ordering is
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Sean Owen commented on SPARK-23074:
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Hm, rowNumber requires you to sort the input? I didn't think it
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Oz Ben-Ami updated SPARK-23082:
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Description:
In YARN, we can use {{spark.yarn.am.nodeLabelExpression}} to submit the Spark
driver
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Oz Ben-Ami updated SPARK-23082:
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Description:
In YARN, we can use spark.yarn.am.nodeLabelExpression to submit the Spark
driver to a
Oz Ben-Ami created SPARK-23082:
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Summary: Allow separate node selectors for driver and executors in
Kubernetes
Key: SPARK-23082
URL: https://issues.apache.org/jira/browse/SPARK-23082
Project: Spark
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Nick Pentreath resolved SPARK-21108.
Resolution: Fixed
> convert LinearSVC to aggregator framework
>
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Bryan Cutler commented on SPARK-12717:
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Hi [~codlife], you can use Spark 2.2.1 which was released in
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Ruslan Dautkhanov commented on SPARK-23074:
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{quote}You can create a DataFrame from the result
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Ruslan Dautkhanov edited comment on SPARK-23074 at 1/15/18 5:40 PM:
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Roque Vassal'lo commented on SPARK-6305:
Hi,
I would like to know current status of this ticket.
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https://issues.apache.org/jira/browse/SPARK-23081?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li updated SPARK-23081:
Summary: Add colRegex API to PySpark (was: Add colRegex to PySpark)
> Add colRegex API to PySpark
>
Xiao Li created SPARK-23081:
---
Summary: Add colRegex to PySpark
Key: SPARK-23081
URL: https://issues.apache.org/jira/browse/SPARK-23081
Project: Spark
Issue Type: Improvement
Components:
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Xiao Li updated SPARK-23081:
Fix Version/s: (was: 2.3.0)
> Add colRegex to PySpark
> ---
>
>
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Xiao Li reassigned SPARK-12139:
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Assignee: jane
> REGEX Column Specification for Hive Queries
>
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Oz Ben-Ami commented on SPARK-23078:
[~mgaido] no objections, Kubernetes is the one that most needs
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Xiao Li resolved SPARK-12139.
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Resolution: Fixed
Fix Version/s: 2.3.0
> REGEX Column Specification for Hive Queries
>
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Apache Spark reassigned SPARK-23080:
Assignee: (was: Apache Spark)
> Improve error message for built-in functions
>
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Apache Spark reassigned SPARK-23080:
Assignee: Apache Spark
> Improve error message for built-in functions
>
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https://issues.apache.org/jira/browse/SPARK-23080?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16326383#comment-16326383
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Apache Spark commented on SPARK-23080:
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User 'mgaido91' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-22624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16326382#comment-16326382
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Xiao Li commented on SPARK-22624:
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cc [~xubo245] Do you want to take this?
> Expose range partitioning
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Marco Gaido commented on SPARK-23078:
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[~ozzieba] I see that in Kubernetes it might work, but I think
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Oz Ben-Ami edited comment on SPARK-23078 at 1/15/18 4:02 PM:
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[~mgaido] In
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Oz Ben-Ami commented on SPARK-23078:
[~mgaido] In Kubernetes you can just create a Service which
Marco Gaido created SPARK-23080:
---
Summary: Improve error message for built-in functions
Key: SPARK-23080
URL: https://issues.apache.org/jira/browse/SPARK-23080
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-23050?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16326330#comment-16326330
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Steve Loughran edited comment on SPARK-23050 at 1/15/18 3:24 PM:
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Quick
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Marco Gaido commented on SPARK-23078:
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The problem is: in cluster mode you don't control where the
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Apache Spark reassigned SPARK-23079:
Assignee: (was: Apache Spark)
> Fix query constraints propagation with aliases
>
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Apache Spark commented on SPARK-23079:
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User 'gengliangwang' has created a pull request for this
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Apache Spark reassigned SPARK-23079:
Assignee: Apache Spark
> Fix query constraints propagation with aliases
>
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Xiao Li resolved SPARK-23035.
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Resolution: Fixed
Assignee: xubo245
Fix Version/s: 2.3.0
> Fix warning: TEMPORARY TABLE
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Steve Loughran commented on SPARK-23050:
Quick review of the code
Yes, there's potentially a
Gengliang Wang created SPARK-23079:
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Summary: Fix query constraints propagation with aliases
Key: SPARK-23079
URL: https://issues.apache.org/jira/browse/SPARK-23079
Project: Spark
Issue
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Wenchen Fan commented on SPARK-23076:
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To be clear, you maintain an internal Spark version and cache
Oz Ben-Ami created SPARK-23078:
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Summary: Allow Submitting Spark Thrift Server in Cluster Mode
Key: SPARK-23078
URL: https://issues.apache.org/jira/browse/SPARK-23078
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-23070?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li resolved SPARK-23070.
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Resolution: Fixed
> Bump previousSparkVersion in MimaBuild.scala to be 2.2.0
>
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JP Moresmau commented on SPARK-18112:
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I'm using Hive 2.3.2 and Spark 2.2.1, but I still run into
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Jhon Cardenas resolved SPARK-22995.
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Resolution: Unresolved
> Spark UI stdout/stderr links point to executors internal address
>
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Apache Spark reassigned SPARK-23029:
Assignee: (was: Apache Spark)
> Doc spark.shuffle.file.buffer units are kb when no
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Apache Spark commented on SPARK-23029:
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User 'ferdonline' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23029:
Assignee: Apache Spark
> Doc spark.shuffle.file.buffer units are kb when no units
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Nick Pentreath reassigned SPARK-21856:
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Assignee: Chunsheng Ji
> Update Python API for MultilayerPerceptronClassifierModel
>
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Nick Pentreath reassigned SPARK-21856:
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Assignee: (was: Weichen Xu)
> Update Python API for
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Nick Pentreath reassigned SPARK-21856:
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Assignee: Weichen Xu
> Update Python API for MultilayerPerceptronClassifierModel
>
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Nick Pentreath resolved SPARK-21856.
Resolution: Fixed
> Update Python API for MultilayerPerceptronClassifierModel
>
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zhoukang updated SPARK-23076:
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Summary: When we call cache() on RDD which depends on ShuffleRowRDD, we
will get an error result (was:
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zhoukang edited comment on SPARK-23076 at 1/15/18 1:34 PM:
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As the picture i
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zhoukang commented on SPARK-23076:
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As the picture i posted, i cached MapPartitionsRDD which depends on
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zhoukang updated SPARK-23076:
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Description:
For query below:
{code:java}
select * from csv_demo limit 3;
{code}
The correct result
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Fernando Pereira edited comment on SPARK-17998 at 1/15/18 12:35 PM:
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Fernando Pereira commented on SPARK-17998:
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[~sams] Did you have the change to check
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Wenchen Fan commented on SPARK-23076:
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How did you cache ShuffleRowRDD? It's kind of an intermedia
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Sean Owen resolved SPARK-23077.
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Resolution: Invalid
I'm not sure what you're reporting here, but this sounds like a question about
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Pravin Agrawal updated SPARK-23077:
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Issue Type: Improvement (was: Bug)
> Apache Structured Streaming: Bulk/Batch write support
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Sean Owen commented on SPARK-23076:
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That sounds serious, although if true, I would expect a lot of
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Nick Pentreath commented on SPARK-22943:
Does the new estimator & model version of OHE solve this
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Pravin Agrawal updated SPARK-23077:
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Description:
Using Apache Spark 2.2: Structured Streaming, Create a program which reads data
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Pravin Agrawal updated SPARK-23077:
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Summary: Apache Structured Streaming: Bulk/Batch write support for Hive
using streaming
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https://issues.apache.org/jira/browse/SPARK-22993?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath resolved SPARK-22993.
Resolution: Fixed
> checkpointInterval param doc should be clearer
>
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Pravin Agrawal updated SPARK-23077:
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Description:
Using Apache Spark 2.2: Structured Streaming, I am creating a program which
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Nick Pentreath reassigned SPARK-22993:
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Assignee: Seth Hendrickson
> checkpointInterval param doc should be clearer
>
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Pravin Agrawal updated SPARK-23077:
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Issue Type: Bug (was: Question)
> Apache Structured Streaming: Unable to write streaming
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Pravin Agrawal updated SPARK-23077:
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Summary: Apache Structured Streaming: Unable to write streaming dataset
into Hive (was:
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Pravin Agrawal updated SPARK-23077:
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Summary: Apache Structured Streaming: Unable to write streaming dataset
into Hive? (was:
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