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https://issues.apache.org/jira/browse/SPARK-18739?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15725334#comment-15725334
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Apache Spark commented on SPARK-18739:
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User 'zhengruifeng' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-18739?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-18739:
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Description:
Now, models in pyspark don't suport {{setXXCol}} methods at all.
I update models
zhengruifeng created SPARK-18739:
Summary: Models in pyspark.classification support setXXXCol methods
Key: SPARK-18739
URL: https://issues.apache.org/jira/browse/SPARK-18739
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-18512?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15725242#comment-15725242
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Adrian Bridgett commented on SPARK-18512:
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So currently, with Spark2 there's no sensible way to
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https://issues.apache.org/jira/browse/SPARK-18736?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Herman van Hovell updated SPARK-18736:
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Description:
Spark-Sql, {{CreateMap}} does not enforce unique keys, i.e. it's possible
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Herman van Hovell updated SPARK-18736:
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Summary: CreateMap allows non-unique keys (was: [SQL] CreateMap allow
non-unique
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https://issues.apache.org/jira/browse/SPARK-18634?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15725194#comment-15725194
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Apache Spark commented on SPARK-18634:
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User 'hvanhovell' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-18326?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15725130#comment-15725130
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Apache Spark commented on SPARK-18326:
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User 'yanboliang' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-18209?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18209:
Assignee: (was: Apache Spark)
> More robust view canonicalization without full SQL
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https://issues.apache.org/jira/browse/SPARK-18705?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-18705:
Shepherd: Yanbo Liang
Assignee: Seth Hendrickson
> Docs for one-pass solver for linear
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https://issues.apache.org/jira/browse/SPARK-18326?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15725135#comment-15725135
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Yanbo Liang commented on SPARK-18326:
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[~josephkb] I made a quick pass for new ML wrapper APIs which
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Apache Spark reassigned SPARK-18326:
Assignee: Apache Spark
> SparkR 2.1 QA: New R APIs and API docs
>
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https://issues.apache.org/jira/browse/SPARK-18326?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18326:
Assignee: (was: Apache Spark)
> SparkR 2.1 QA: New R APIs and API docs
>
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https://issues.apache.org/jira/browse/SPARK-18326?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang reassigned SPARK-18326:
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Assignee: Yanbo Liang
> SparkR 2.1 QA: New R APIs and API docs
>
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https://issues.apache.org/jira/browse/SPARK-18209?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15725038#comment-15725038
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Apache Spark commented on SPARK-18209:
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User 'jiangxb1987' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-18209?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18209:
Assignee: Apache Spark
> More robust view canonicalization without full SQL expansion
>
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https://issues.apache.org/jira/browse/SPARK-18326?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-18326:
Assignee: (was: Yanbo Liang)
> SparkR 2.1 QA: New R APIs and API docs
>
Lifeng Wang created SPARK-18738:
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Summary: Some Spark SQL queries has poor performance on HDFS
Erasure Coding feature when enabling dynamic allocation.
Key: SPARK-18738
URL:
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https://issues.apache.org/jira/browse/SPARK-18737?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dr. Michael Menzel updated SPARK-18737:
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Priority: Blocker (was: Major)
> Serialization setting "spark.serializer" ignored
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Lifeng Wang updated SPARK-18738:
Description:
We run TPCx-BB with Spark SQL engine on local cluster using Spark 2.0.3 trunk
and
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