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Bryan Cutler commented on SPARK-15861:
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If you change your function to this
{noformat}
def
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thauvin damien updated SPARK-15965:
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Description:
The spark programming-guide explain that Spark can create distributed datasets
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Sandeep commented on SPARK-15849:
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Thanks Thomas for that comment. I have verified both the things with
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Imran Rashid commented on SPARK-15815:
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yes, I agree that SPARK-15865 isn't ideal on its own.
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Reynold Xin resolved SPARK-15426.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Spark 2.0 SQL API audit
>
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Reynold Xin updated SPARK-15960:
Issue Type: Sub-task (was: Bug)
Parent: SPARK-15426
> Audit new SQL confs
>
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Reynold Xin resolved SPARK-15960.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Audit new SQL confs
>
>
>
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Sean Owen updated SPARK-15951:
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Priority: Minor (was: Major)
Fix Version/s: (was: 2.1.0)
Component/s: (was:
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Dongjoon Hyun edited comment on SPARK-15908 at 6/15/16 10:16 AM:
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I'll
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Apache Spark commented on SPARK-15908:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-15908:
Assignee: Apache Spark
> Add varargs-type dropDuplicates() function in SparkR
>
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Apache Spark reassigned SPARK-15908:
Assignee: (was: Apache Spark)
> Add varargs-type dropDuplicates() function in SparkR
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Sean Owen updated SPARK-15065:
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Assignee: Pete Robbins
> HiveSparkSubmitSuite's "set spark.sql.warehouse.dir" is flaky
>
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Sean Owen updated SPARK-15631:
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Assignee: Wenchen Fan
> Dataset and encoder bug fixes
> -
>
>
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Dongjoon Hyun commented on SPARK-15908:
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I'll working on this issue~.
> Add varargs-type
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Apache Spark commented on SPARK-15518:
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User 'lw-lin' has created a pull request for this issue:
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Pete Robbins commented on SPARK-15822:
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Chatting with [~hvanhovell] here is the current state. I can
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Apache Spark reassigned SPARK-15960:
Assignee: Herman van Hovell (was: Apache Spark)
> Audit new SQL confs
>
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Apache Spark reassigned SPARK-15960:
Assignee: Apache Spark (was: Herman van Hovell)
> Audit new SQL confs
>
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Apache Spark commented on SPARK-15960:
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User 'hvanhovell' has created a pull request for this issue:
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SuYan edited comment on SPARK-15815 at 6/15/16 7:17 AM:
I see... although it can
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SuYan commented on SPARK-15815:
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I see... although it can solve the gang problem, but for Dynamic Allocate,
Kazuaki Ishizaki created SPARK-15962:
Summary: Introduce additonal implementation with a dense format
for UnsafeArrayData
Key: SPARK-15962
URL: https://issues.apache.org/jira/browse/SPARK-15962
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Adrian Wang resolved SPARK-15397.
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Resolution: Fixed
> 'locate' UDF got different result with boundary value case compared to Hive
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Apache Spark reassigned SPARK-15888:
Assignee: Apache Spark (was: Davies Liu)
> Python UDF over aggregate fails
>
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Pete Robbins commented on SPARK-15822:
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The generated code is:
{code}
Top Arrival Carrier
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Apache Spark commented on SPARK-15959:
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User 'yhuai' has created a pull request for this issue:
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Apache Spark reassigned SPARK-15959:
Assignee: Yin Huai (was: Apache Spark)
> Add the support of hive.metastore.warehouse.dir
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Apache Spark reassigned SPARK-15959:
Assignee: Apache Spark (was: Yin Huai)
> Add the support of hive.metastore.warehouse.dir
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Apache Spark commented on SPARK-15962:
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User 'kiszk' has created a pull request for this issue:
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Apache Spark reassigned SPARK-15962:
Assignee: (was: Apache Spark)
> Introduce additonal implementation with a dense
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Apache Spark reassigned SPARK-15962:
Assignee: Apache Spark
> Introduce additonal implementation with a dense format for
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Sean Owen commented on SPARK-15955:
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Which process has status 0, and can you try vs master?
> Failed
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Apache Spark commented on SPARK-15888:
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User 'davies' has created a pull request for this issue:
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Apache Spark reassigned SPARK-15888:
Assignee: Davies Liu (was: Apache Spark)
> Python UDF over aggregate fails
>
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Dongjoon Hyun commented on SPARK-15922:
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Hi, [~mengxr].
Could you review the PR on this bug?
>
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Reynold Xin updated SPARK-15888:
Affects Version/s: (was: 2.0.0)
> Python UDF over aggregate fails
>
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Apache Spark commented on SPARK-1004:
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User 'sryza' has created a pull request for this issue:
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Pete Robbins commented on SPARK-15822:
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and the plan:
{noformat}
== Parsed Logical Plan ==
'Project
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Pete Robbins commented on SPARK-15822:
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I can also recreate this issue on Oracle JDK 1.8:
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Dongjoon Hyun commented on SPARK-14692:
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Hi, [~nmolkeri].
It seems that you just needed
thauvin damien created SPARK-15965:
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Summary: No FileSystem for scheme: s3n or s3a spark-2.0.0 and
spark-1.6.1
Key: SPARK-15965
URL: https://issues.apache.org/jira/browse/SPARK-15965
Project: Spark
Dhruve Ashar created SPARK-15966:
Summary: Fix markdown for Spark Monitoring
Key: SPARK-15966
URL: https://issues.apache.org/jira/browse/SPARK-15966
Project: Spark
Issue Type: Documentation
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Thomas Graves updated SPARK-15046:
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Assignee: Marcelo Vanzin
> When running hive-thriftserver with yarn on a secure cluster the
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Thomas Graves resolved SPARK-15046.
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Resolution: Fixed
Fix Version/s: 2.0.0
> When running hive-thriftserver with yarn on
Umesh K created SPARK-15967:
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Summary: Spark UI should show dynamically changed value of storage
memory instead of showing one static value all the time
Key: SPARK-15967
URL:
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Michael Allman commented on SPARK-15968:
I have a patched based on the way this method was
Michael Allman created SPARK-15968:
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Summary: HiveMetastoreCatalog does not correctly validate
partitioned metastore relation when searching the internal table cache
Key: SPARK-15968
URL:
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Umesh K updated SPARK-15967:
Summary: Spark UI should show realtime value of storage memory instead of
showing one static value all the
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Michael Allman updated SPARK-15968:
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Description: The {{getCached}} method of {{HiveMetastoreCatalog}} computes
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Apache Spark commented on SPARK-15968:
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User 'mallman' has created a pull request for this issue:
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Apache Spark reassigned SPARK-15968:
Assignee: (was: Apache Spark)
> HiveMetastoreCatalog does not correctly validate
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Apache Spark reassigned SPARK-15968:
Assignee: Apache Spark
> HiveMetastoreCatalog does not correctly validate partitioned
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Davies Liu updated SPARK-15811:
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Priority: Blocker (was: Critical)
> UDFs do not work in Spark 2.0-preview built with scala 2.10
>
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Shivaram Venkataraman resolved SPARK-15931.
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Resolution: Fixed
Assignee: Felix Cheung
Fix Version/s: 2.0.0
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Davies Liu reassigned SPARK-15811:
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Assignee: Davies Liu
> UDFs do not work in Spark 2.0-preview built with scala 2.10
>
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Shixiong Zhu resolved SPARK-15953.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Renamed ContinuousQuery to StreamingQuery for
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Miao Wang commented on SPARK-15784:
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[~josephkb][~mengxr][~yanboliang] I am trying to add PIC to
Liwei Lin created SPARK-15963:
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Summary: `TaskKilledException` is not correctly caught in
`Executor.TaskRunner`
Key: SPARK-15963
URL: https://issues.apache.org/jira/browse/SPARK-15963
Project: Spark
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Apache Spark reassigned SPARK-15963:
Assignee: Apache Spark
> `TaskKilledException` is not correctly caught in
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Apache Spark reassigned SPARK-15963:
Assignee: (was: Apache Spark)
> `TaskKilledException` is not correctly caught in
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Apache Spark commented on SPARK-15963:
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User 'lw-lin' has created a pull request for this issue:
Sanjay Dasgupta created SPARK-15964:
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Summary: Assignment to RDD-typed val fails
Key: SPARK-15964
URL: https://issues.apache.org/jira/browse/SPARK-15964
Project: Spark
Issue Type: Bug
Kun Liu created SPARK-15969:
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Summary: FileNotFoundException: Multiple arguments for py-files
flag, (also jars) for spark-submit
Key: SPARK-15969
URL: https://issues.apache.org/jira/browse/SPARK-15969
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Shixiong Zhu resolved SPARK-15826.
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Resolution: Fixed
Assignee: Tejas Patil
Fix Version/s: 2.0.0
> PipedRDD to
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Sean Owen commented on SPARK-15973:
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Please group your 3 JIRAs into one. They sound so similar that
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Reynold Xin resolved SPARK-15959.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Add the support of hive.metastore.warehouse.dir
Vladimir Feinberg created SPARK-15971:
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Summary: GroupedData's member incorrectly named
Key: SPARK-15971
URL: https://issues.apache.org/jira/browse/SPARK-15971
Project: Spark
Issue Type:
Vladimir Feinberg created SPARK-15973:
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Summary: GroupedData.pivot documentation off
Key: SPARK-15973
URL: https://issues.apache.org/jira/browse/SPARK-15973
Project: Spark
Issue Type:
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Sean Owen commented on SPARK-15966:
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Please make a more descriptive JIRA, and/or submit a PR.
> Fix
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Vladimir Feinberg updated SPARK-15973:
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Description:
(1)
{{GroupedData.pivot}} documenation uses {{//}} instead of {{#}} for
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Thomas Graves commented on SPARK-15955:
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what master and deploy mode are you using?
> Failed Spark
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Reynold Xin resolved SPARK-13850.
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Resolution: Fixed
Fix Version/s: 2.0.0
1.6.2
> TimSort Comparison
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Tejas Patil updated SPARK-15826:
Summary: PipedRDD to allow configurable char encoding (was: PipedRDD to
allow configurable char
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Sean Owen commented on SPARK-15965:
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CC [~steve_l] but I think this is your classpath issue or a Hadoop
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Vladimir Feinberg updated SPARK-15973:
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Summary: Fix GroupedData Documentation (was: GroupedData.pivot
documentation off)
>
Xin Wu created SPARK-15970:
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Summary: WARNing message related to persisting table to Hive
Megastore while Spark SQL is running in-memory catalog mode
Key: SPARK-15970
URL:
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Apache Spark commented on SPARK-15970:
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User 'xwu0226' has created a pull request for this issue:
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Apache Spark reassigned SPARK-15970:
Assignee: (was: Apache Spark)
> WARNing message related to persisting table to Hive
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Vladimir Feinberg updated SPARK-15971:
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Description:
The {{pyspark.sql.GroupedData}} object calls the Java object it wraps
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Vladimir Feinberg updated SPARK-15972:
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Description:
Simple aggregation functions which take column names {{cols}} as varargs
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Michael Armbrust resolved SPARK-15964.
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Resolution: Won't Fix
> Assignment to RDD-typed val fails
>
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Michael Armbrust commented on SPARK-15964:
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Thanks for reporting this, but I believe this is
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Xiangrui Meng reassigned SPARK-15947:
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Assignee: Xiangrui Meng
> Make pipeline components backward compatible with old vector
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Vladimir Feinberg commented on SPARK-15973:
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Done
> Fix GroupedData Documentation
>
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Brett Stime commented on SPARK-3847:
Seems like, rather than a warning about the specifics of enums,
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Kun Liu updated SPARK-15969:
Remaining Estimate: 120h (was: 168h)
Original Estimate: 120h (was: 168h)
> FileNotFoundException:
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https://issues.apache.org/jira/browse/SPARK-15811?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-15811:
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Summary: Python UDFs do not work in Spark 2.0-preview built with scala 2.10
(was: UDFs do not work
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https://issues.apache.org/jira/browse/SPARK-15970?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15970:
Assignee: Apache Spark
> WARNing message related to persisting table to Hive Megastore
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Vladimir Feinberg resolved SPARK-15971.
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Resolution: Duplicate
> GroupedData's member incorrectly named
>
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https://issues.apache.org/jira/browse/SPARK-15972?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Vladimir Feinberg resolved SPARK-15972.
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Resolution: Duplicate
> GroupedData varargs arguments misnamed
>
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https://issues.apache.org/jira/browse/SPARK-15972?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Vladimir Feinberg closed SPARK-15972.
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> GroupedData varargs arguments misnamed
> --
>
>
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Vladimir Feinberg closed SPARK-15971.
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> GroupedData's member incorrectly named
> --
>
>
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Davies Liu updated SPARK-15811:
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Description:
I've built spark-2.0-preview (8f5a04b) with scala-2.10 using the following
{code}
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https://issues.apache.org/jira/browse/SPARK-15935?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu resolved SPARK-15935.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Enable test for sql/streaming.py and fix these
Vladimir Feinberg created SPARK-15972:
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Summary: GroupedData varargs arguments misnamed
Key: SPARK-15972
URL: https://issues.apache.org/jira/browse/SPARK-15972
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-15574?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15332475#comment-15332475
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Xusen Yin commented on SPARK-15574:
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I just finished the prototype of PythonTransformer in Scala as the
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https://issues.apache.org/jira/browse/SPARK-1051?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15332539#comment-15332539
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Apache Spark commented on SPARK-1051:
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User 'sryza' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-15906?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-15906:
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Issue Type: Improvement (was: New Feature)
> Complementary Naive Bayes Algorithm
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https://issues.apache.org/jira/browse/SPARK-15906?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-15906:
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Priority: Minor (was: Major)
> Complementary Naive Bayes Algorithm Implementation
>
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