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Michael Armbrust updated SPARK-11315:
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Target Version/s: (was: 1.6.0)
> Add YARN extension service to publish Spark events to
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Michael Armbrust updated SPARK-11600:
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Component/s: Documentation
> Spark MLlib 1.6 QA umbrella
> ---
>
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Michael Armbrust commented on SPARK-8414:
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Still planning to do this for 1.6?
> E
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Michael Armbrust updated SPARK-7348:
Target Version/s: (was: 1.6.0)
> DAG visualization: add links to RDD page
> --
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Michael Armbrust updated SPARK-11985:
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Component/s: Documentation
> Update Spark Streaming - Kinesis Library Documentation regar
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Michael Armbrust updated SPARK-6518:
Component/s: Documentation
> Add example code and user guide for bisecting k-means
> ---
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Michael Armbrust updated SPARK-12060:
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Priority: Critical (was: Major)
> Avoid memory copy in JavaSerializerInstance.serialize
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Michael Armbrust updated SPARK-8966:
Target Version/s: (was: 1.6.0)
> Design a mechanism to ensure that temporary files created
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Michael Armbrust updated SPARK-12031:
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Description:
In my case, some partitions contain too much items. When do range partition,
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Michael Armbrust updated SPARK-11966:
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Target Version/s: 1.7.0
> Spark API for UDTFs
> ---
>
> K
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Michael Armbrust resolved SPARK-12018.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 10009
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Michael Armbrust commented on SPARK-11941:
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Sorry, maybe I'm misunderstanding.
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Michael Armbrust commented on SPARK-11966:
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Ah, I was proposing the DataFrame fu
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Michael Armbrust updated SPARK-12032:
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Issue Type: Improvement (was: Bug)
> Filter can't be pushed down to correct Join because
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Michael Armbrust commented on SPARK-11873:
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What about with Spark 1.6?
> Regres
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Michael Armbrust updated SPARK-11941:
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Issue Type: Improvement (was: Bug)
> JSON representation of nested StructTypes could be
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Michael Armbrust commented on SPARK-11941:
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/cc [~lian cheng]
> JSON represent
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Michael Armbrust updated SPARK-11941:
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Summary: JSON representation of nested StructTypes could be more uniform
(was: JSON repr
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Michael Armbrust commented on SPARK-11941:
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While I can appreciate that this mig
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Michael Armbrust commented on SPARK-11966:
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Have you seen
[explode|https://gith
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Michael Armbrust updated SPARK-12030:
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Target Version/s: 1.6.0
Priority: Blocker (was: Critical)
> Incorrect result
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Michael Armbrust updated SPARK-11553:
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Labels: releasenotes (was: )
> row.getInt(i) if row[i]=null returns 0
>
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Michael Armbrust commented on SPARK-12032:
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The standard algorithm for join reor
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Michael Armbrust resolved SPARK-11863.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9961
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Michael Armbrust commented on SPARK-12017:
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/cc [~joshrosen]
> Java Doc Publish
Michael Armbrust created SPARK-12017:
Summary: Java Doc Publishing Broken
Key: SPARK-12017
URL: https://issues.apache.org/jira/browse/SPARK-12017
Project: Spark
Issue Type: Bug
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Michael Armbrust resolved SPARK-11990.
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Resolution: Duplicate
Fix Version/s: 1.6.0
This is already fixed in Spark 1.6 by
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Michael Armbrust resolved SPARK-11926.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9909
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Michael Armbrust commented on SPARK-9328:
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[~joshrosen] is this actually a 1.6 blo
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Michael Armbrust commented on SPARK-9141:
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[~tianyi] please provide a reproduction
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Michael Armbrust resolved SPARK-11942.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9928
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Michael Armbrust updated SPARK-11942:
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Assignee: Wenchen Fan
> fix encoder life cycle for CoGroup
>
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Michael Armbrust resolved SPARK-11913.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9898
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Michael Armbrust resolved SPARK-11921.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9906
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Michael Armbrust resolved SPARK-11894.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9904
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Michael Armbrust updated SPARK-7539:
Component/s: Tests
> Perf tests for Python MLlib
> ---
>
>
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Michael Armbrust resolved SPARK-11908.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9891
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Michael Armbrust commented on SPARK-11894:
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I meant if you call `toDF()` on the
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Michael Armbrust updated SPARK-11894:
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Target Version/s: 1.6.0
> Incorrect results are returned when using null
> --
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Michael Armbrust commented on SPARK-11894:
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What is the output as a DataFrame?
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Michael Armbrust resolved SPARK-11890.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9871
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Michael Armbrust resolved SPARK-11889.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9870
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Michael Armbrust resolved SPARK-11636.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9825
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Michael Armbrust resolved SPARK-11716.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9868
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Michael Armbrust updated SPARK-11890:
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Description:
{code}
[error]
/home/jenkins/workspace/Spark-Master-Scala211-Compile/sql/ca
Michael Armbrust created SPARK-11890:
Summary: Encoder errors logic breaks on Scala 2.11
Key: SPARK-11890
URL: https://issues.apache.org/jira/browse/SPARK-11890
Project: Spark
Issue Type:
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Michael Armbrust updated SPARK-11889:
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Target Version/s: 1.6.0
> Type inference in REPL broken for GroupedDataset.agg
>
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Michael Armbrust updated SPARK-11889:
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Component/s: SQL
> Type inference in REPL broken for GroupedDataset.agg
> ---
Michael Armbrust created SPARK-11889:
Summary: Type inference in REPL broken for GroupedDataset.agg
Key: SPARK-11889
URL: https://issues.apache.org/jira/browse/SPARK-11889
Project: Spark
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Michael Armbrust updated SPARK-11873:
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Issue Type: Improvement (was: Bug)
> Regression for TPC-DS query 63 when used with decim
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Michael Armbrust updated SPARK-11819:
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Assignee: Wenchen Fan
> nice error message for missing encoder
>
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Michael Armbrust resolved SPARK-11819.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9810
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Michael Armbrust updated SPARK-11876:
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Assignee: Xiao Li
> [SQL] Support PrintSchema in DataSet APIs
> -
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Michael Armbrust resolved SPARK-11876.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9855
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Michael Armbrust commented on SPARK-11319:
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bq. It doesn't sound much like a hin
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Michael Armbrust commented on SPARK-11319:
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Okay, the tone here is quickly veeri
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Michael Armbrust updated SPARK-11778:
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Assignee: Huaxin Gao
> HiveContext.read.table does not support user-specified database na
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Michael Armbrust resolved SPARK-11778.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9773
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Michael Armbrust updated SPARK-11778:
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Labels: releasenotes (was: )
> HiveContext.read.table does not support user-specified da
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Michael Armbrust updated SPARK-11750:
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Assignee: Wenchen Fan
> revert SPARK-11727 and code clean up
> --
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Michael Armbrust resolved SPARK-11750.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9726
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Michael Armbrust resolved SPARK-11848.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9832
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Michael Armbrust resolved SPARK-11633.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9762
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Michael Armbrust commented on SPARK-11855:
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Hey, very sorry for the confusion he
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Michael Armbrust commented on SPARK-11838:
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As I said to [~markhamstra] offline,
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Michael Armbrust updated SPARK-10420:
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Target Version/s: (was: 1.6.0)
> Implementing Reactive Streams based Spark Streaming Re
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Michael Armbrust resolved SPARK-11637.
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Resolution: Duplicate
Fix Version/s: 1.6.0
This is fixed. Please reopen if you
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Michael Armbrust updated SPARK-7465:
Target Version/s: (was: 1.6.0)
> DAG visualization: RDD dependencies not always shown
> --
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Michael Armbrust updated SPARK-7471:
Target Version/s: (was: 1.6.0)
> DAG visualization: show call site information
> -
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Michael Armbrust updated SPARK-7271:
Target Version/s: 1.7.0 (was: 1.6.0)
> Redesign shuffle interface for binary processing
> -
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Michael Armbrust updated SPARK-7200:
Component/s: Tests
> Tungsten test suites should fail if memory leak is detected
> -
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Michael Armbrust updated SPARK-10364:
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Target Version/s: (was: 1.6.0)
> Support Parquet logical type TIMESTAMP_MILLIS
> --
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Michael Armbrust updated SPARK-10366:
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Target Version/s: (was: 1.6.0)
> Support Parquet logical type DATE
> --
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Michael Armbrust updated SPARK-8716:
Component/s: Tests
> Write tests for executor shared cache feature
> ---
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Michael Armbrust resolved SPARK-11392.
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Resolution: Won't Fix
Given we don't want to materialize the whole group, I think this
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Michael Armbrust updated SPARK-6377:
Target Version/s: (was: 1.6.0)
> Set the number of map output partitions for Exchange oper
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Michael Armbrust updated SPARK-7025:
Target Version/s: 2.0.0 (was: 1.6.0)
> Create a Java-friendly input source API
> --
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Michael Armbrust updated SPARK-7457:
Component/s: Tests
> Perf test for ALS.recommendAll
> --
>
>
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Michael Armbrust updated SPARK-10340:
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Target Version/s: (was: 1.6.0)
> Use S3 bulk listing for S3-backed Hive tables
> --
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Michael Armbrust updated SPARK-11262:
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Component/s: Tests
> Unit test for gradient, loss layers, memory management for multilaye
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Michael Armbrust updated SPARK-8447:
Component/s: Tests
> Test external shuffle service with all shuffle managers
> -
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Michael Armbrust updated SPARK-10359:
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Target Version/s: (was: 1.6.0)
> Enumerate Spark's dependencies in a file and diff agai
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Michael Armbrust commented on SPARK-11323:
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Are we still trying to get this, [SP
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Michael Armbrust updated SPARK-9359:
Target Version/s: (was: 1.6.0)
> Support IntervalType for Parquet
> --
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Michael Armbrust updated SPARK-9346:
Target Version/s: (was: 1.6.0)
> Conversion is applied three times on partitioned data sou
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https://issues.apache.org/jira/browse/SPARK-11028?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-11028:
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Target Version/s: (was: 1.6.0)
> When planning queries without partial aggregation supp
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https://issues.apache.org/jira/browse/SPARK-11095?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-11095:
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Target Version/s: 2.0.0 (was: 1.6.0)
> Simplify Netty RPC implementation by using a sepa
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https://issues.apache.org/jira/browse/SPARK-10620?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-10620:
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Target Version/s: 2.0.0 (was: 1.6.0)
> Look into whether accumulator mechanism can repla
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https://issues.apache.org/jira/browse/SPARK-11735?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-11735:
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Target Version/s: (was: 1.6.0)
> Add a check in the constructor of SqlContext to make s
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https://issues.apache.org/jira/browse/SPARK-11778?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-11778:
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Priority: Critical (was: Minor)
> HiveContext.read.table does not support user-specified
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https://issues.apache.org/jira/browse/SPARK-10665?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-10665:
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Target Version/s: (was: 1.6.0)
> Connect the local iterators with the planner
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https://issues.apache.org/jira/browse/SPARK-9427?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15012137#comment-15012137
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Michael Armbrust commented on SPARK-9427:
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What is the status here? Are we actual
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https://issues.apache.org/jira/browse/SPARK-11795?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-11795:
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Assignee: Wenchen Fan
> org.apache.spark.sql.AnalysisException: Can't extract value from
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https://issues.apache.org/jira/browse/SPARK-11795?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-11795.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9792
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https://issues.apache.org/jira/browse/SPARK-11725?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-11725:
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Assignee: Wenchen Fan
> Let UDF to handle null value
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>
>
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https://issues.apache.org/jira/browse/SPARK-11725?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-11725.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9770
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Michael Armbrust updated SPARK-11725:
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Labels: releasenotes (was: )
> Let UDF to handle null value
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https://issues.apache.org/jira/browse/SPARK-11803?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-11803.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9806
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Michael Armbrust updated SPARK-11803:
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Assignee: Wenchen Fan
> Dataset self join returns incorrect result
>
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https://issues.apache.org/jira/browse/SPARK-11795?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-11795:
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Priority: Critical (was: Major)
> org.apache.spark.sql.AnalysisException: Can't extract
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