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Sun Rui updated SPARK-12922:
Description:
gapply() applies an R function on groups grouped by one or more columns of a
DataFrame, and r
Sun Rui created SPARK-12922:
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Summary: Implement gapply() on DataFrame in SparkR
Key: SPARK-12922
URL: https://issues.apache.org/jira/browse/SPARK-12922
Project: Spark
Issue Type: Sub-task
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Apache Spark commented on SPARK-12921:
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User 'JoshRosen' has created a pull request
Josh Rosen created SPARK-12921:
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Summary: Use SparkHadoopUtil reflection to access
TaskAttemptContext in SpecificParquetRecordReaderBase
Key: SPARK-12921
URL: https://issues.apache.org/jira/browse/SPARK-12921
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Josh Rosen reassigned SPARK-12921:
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Assignee: Josh Rosen
> Use SparkHadoopUtil reflection to access TaskAttemptContext in
> Speci
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Rajesh Balamohan updated SPARK-12920:
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Attachment: SPARK-12920.profiler.png
SPARK-12920.profiler_job_progress_lis
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Sun Rui updated SPARK-12919:
Description:
dapply() applies an R function on each partition of a DataFrame and returns a
new DataFrame.
Rajesh Balamohan created SPARK-12920:
Summary: Spark thrift server can run at very high CPU with
concurrent users
Key: SPARK-12920
URL: https://issues.apache.org/jira/browse/SPARK-12920
Project: S
Sun Rui created SPARK-12919:
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Summary: Implement dapply() on DataFrame in SparkR
Key: SPARK-12919
URL: https://issues.apache.org/jira/browse/SPARK-12919
Project: Spark
Issue Type: Sub-task
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Hari Krishna Dara commented on SPARK-12646:
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Apologies for the delay in getting
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Xiao Li edited comment on SPARK-12845 at 1/20/16 7:27 AM:
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It su
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Xiao Li commented on SPARK-12845:
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It supports both Inner and Outer Join
> During join S
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Felix Cheung commented on SPARK-12790:
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FsHistoryProviderSuite, which I did change,
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Felix Cheung commented on SPARK-12790:
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I have made the changes but running tests, I
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Maciej Bryński commented on SPARK-12845:
[~smilegator]
I'll try.
Is this patch wo
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Maciej Bryński commented on SPARK-12532:
[~rxin]
I don't agree with you.
This opt
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Reynold Xin updated SPARK-12624:
Priority: Blocker (was: Critical)
> When schema is specified, we should treat undeclared fields as
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Sun Rui commented on SPARK-12918:
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Spark is now supporting vectorized execution via Colum
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Sun Rui closed SPARK-12794.
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Resolution: Later
> Support Defining and Registration of R UDF
> --
>
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Sun Rui closed SPARK-12793.
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Resolution: Later
> Support R UDF Evaluation
>
>
> Key: SPARK-12793
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Sun Rui updated SPARK-12918:
Attachment: SparkR SQL UDF Design Documentation v1.pdf
> Support R SQL UDF in SparkR
>
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Sun Rui updated SPARK-12918:
Attachment: (was: SparkR UDF Design Documentation v1.pdf)
> Support R SQL UDF in SparkR
> -
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Sun Rui updated SPARK-12918:
Attachment: SparkR UDF Design Documentation v1.pdf
> Support R SQL UDF in SparkR
>
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Sun Rui commented on SPARK-6817:
I wrote an implementation document at
https://docs.googl
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Nirman Narang commented on SPARK-7848:
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Started working on this.
> Update SparkStrea
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Sun Rui commented on SPARK-6817:
Moved SQL UDF related stuff to SPARK-12918.
> DataFrame
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Sun Rui updated SPARK-6817:
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Attachment: (was: SparkR UDF Design Documentation v1.pdf)
> DataFrame UDFs in R
> ---
>
>
Sun Rui created SPARK-12918:
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Summary: Support R SQL UDF in SparkR
Key: SPARK-12918
URL: https://issues.apache.org/jira/browse/SPARK-12918
Project: Spark
Issue Type: New Feature
Component
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Apache Spark commented on SPARK-12417:
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User 'rajeshbalamohan' has created a pull re
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Liang-Chi Hsieh commented on SPARK-12904:
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And also:
5. decimal_literal > int_co
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Reynold Xin resolved SPARK-12871.
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Resolution: Fixed
Assignee: Hyukjin Kwon
Fix Version/s: 2.0.0
> Support to specif
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Reynold Xin commented on SPARK-12904:
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ah yes.
> Strength reduction for integer/dec
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Liang-Chi Hsieh commented on SPARK-12904:
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The rules should be:
1. int_col > dec
Hemang Nagar created SPARK-12917:
Summary: Add DML support to Spark SQL for HIVE
Key: SPARK-12917
URL: https://issues.apache.org/jira/browse/SPARK-12917
Project: Spark
Issue Type: New Feature
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Shubhanshu Mishra updated SPARK-12910:
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Description:
When we use `$SPARK_HOME/R/install-dev.sh` it uses the default system R.
Shubhanshu Mishra created SPARK-12916:
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Summary: Support Row.fromSeq and Row.toSeq methods in pyspark
Key: SPARK-12916
URL: https://issues.apache.org/jira/browse/SPARK-12916
Project: Spark
Davies Liu created SPARK-12915:
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Summary: SQL metrics for generated operators
Key: SPARK-12915
URL: https://issues.apache.org/jira/browse/SPARK-12915
Project: Spark
Issue Type: Improvement
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Hossein Falaki commented on SPARK-12669:
If/when Spark Data sources API supports
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Mohit Jaggi commented on SPARK-12669:
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hmm...wouldn't it be good to have a typesafe A
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Shivaram Venkataraman commented on SPARK-12635:
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Just to clarify a couple o
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iward commented on SPARK-12864:
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The important point of the idea is to fix this conflict ex
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Shivaram Venkataraman updated SPARK-12232:
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Assignee: Felix Cheung
> Create new R API for read.table to avoid conflict
> --
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Shivaram Venkataraman resolved SPARK-12232.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request
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Mao, Wei commented on SPARK-12864:
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I don't quite get your point here. With your new exe
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Andrew Or updated SPARK-10620:
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Attachment: accums-and-task-metrics.pdf
> Look into whether accumulator mechanism can replace TaskMetri
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Andrew Or updated SPARK-10620:
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Attachment: (was: AccumulatorsandTaskMetricsinSpark2.0.pdf)
> Look into whether accumulator mechani
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Andrew Or updated SPARK-10620:
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Attachment: AccumulatorsandTaskMetricsinSpark2.0.pdf
> Look into whether accumulator mechanism can repl
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Rajesh Balamohan updated SPARK-12898:
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Attachment: callsiteProf.png
> Consider having dummyCallSite for HiveTableScan
>
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Rajesh Balamohan updated SPARK-12898:
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Attachment: (was: callsiteProf)
> Consider having dummyCallSite for HiveTableScan
> -
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Rajesh Balamohan updated SPARK-12898:
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Attachment: callsiteProf
> Consider having dummyCallSite for HiveTableScan
>
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Shivaram Venkataraman updated SPARK-12337:
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Assignee: Sun Rui
> Implement dropDuplicates() method of DataFrame in SparkR
>
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Shivaram Venkataraman resolved SPARK-12337.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request
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Shivaram Venkataraman updated SPARK-12168:
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Assignee: Felix Cheung
> Need test for conflicted function in R
> -
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Shivaram Venkataraman resolved SPARK-12168.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request
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Reynold Xin resolved SPARK-12770.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Implement rules for branch elimination for CaseWh
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Xiangrui Meng updated SPARK-8514:
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Target Version/s: 2.0.0 (was: )
> LU factorization on BlockMatrix
> -
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Xiangrui Meng updated SPARK-6519:
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Target Version/s: 2.0.0 (was: )
> Add spark.ml API for bisecting k-means
> --
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Apache Spark commented on SPARK-12469:
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User 'holdenk' has created a pull request fo
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Apache Spark reassigned SPARK-12469:
Assignee: (was: Apache Spark)
> Consistent Accumulators for Spark
> --
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Apache Spark reassigned SPARK-12469:
Assignee: Apache Spark
> Consistent Accumulators for Spark
> -
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Mark Grover commented on SPARK-12177:
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Posting an update. Took out Broker.scala, the
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Davies Liu updated SPARK-12913:
---
Description:
As benchmarked and discussed here:
https://github.com/apache/spark/pull/10786/files#r50
Davies Liu created SPARK-12914:
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Summary: Generate TungstenAggregate with grouping keys
Key: SPARK-12914
URL: https://issues.apache.org/jira/browse/SPARK-12914
Project: Spark
Issue Type: Improve
Davies Liu created SPARK-12913:
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Summary: Reimplement all builtin aggregate functions as
declarative function
Key: SPARK-12913
URL: https://issues.apache.org/jira/browse/SPARK-12913
Project: Spark
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Apache Spark reassigned SPARK-12797:
Assignee: Apache Spark
> Aggregation without grouping keys
> -
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Apache Spark reassigned SPARK-12797:
Assignee: (was: Apache Spark)
> Aggregation without grouping keys
> --
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Apache Spark commented on SPARK-12797:
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User 'davies' has created a pull request for
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Thomas Graves updated SPARK-6166:
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Assignee: (was: Shixiong Zhu)
> Add config to limit number of concurrent outbound connections
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Joseph K. Bradley resolved SPARK-9716.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 10472
[http
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Marcelo Vanzin resolved SPARK-2750.
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Resolution: Fixed
Assignee: Fei Wang
Fix Version/s: 2.0.0
> Add Https support
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Apache Spark commented on SPARK-12912:
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User 'rxin' has created a pull request for t
Reynold Xin created SPARK-12912:
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Summary: Add test suite for EliminateSubQueries
Key: SPARK-12912
URL: https://issues.apache.org/jira/browse/SPARK-12912
Project: Spark
Issue Type: Improvement
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Apache Spark reassigned SPARK-12912:
Assignee: Apache Spark (was: Reynold Xin)
> Add test suite for EliminateSubQueries
>
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Apache Spark reassigned SPARK-12912:
Assignee: Reynold Xin (was: Apache Spark)
> Add test suite for EliminateSubQueries
>
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Xiao Li commented on SPARK-12845:
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Let me know if you hit any bug. Thanks!
> During join
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Xiao Li commented on SPARK-12845:
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I think the following PR resolves your issue:
https:/
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Xiangrui Meng updated SPARK-11295:
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Component/s: PySpark
> Add packages to JUnit output for Python tests
>
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Xiangrui Meng updated SPARK-11295:
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Assignee: Gabor Liptak
> Add packages to JUnit output for Python tests
> --
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Xiangrui Meng updated SPARK-11295:
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Target Version/s: 2.0.0
> Add packages to JUnit output for Python tests
> -
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Xiangrui Meng resolved SPARK-11295.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 9263
[https://gi
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Apache Spark reassigned SPARK-12479:
Assignee: (was: Apache Spark)
> sparkR collect on GroupedData throws R error "missin
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Apache Spark reassigned SPARK-12479:
Assignee: Apache Spark
> sparkR collect on GroupedData throws R error "missing value whe
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Apache Spark reassigned SPARK-12869:
Assignee: Apache Spark
> Optimize conversion from BlockMatrix to IndexedRowMatrix
> --
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Apache Spark reassigned SPARK-12869:
Assignee: (was: Apache Spark)
> Optimize conversion from BlockMatrix to IndexedRowMatr
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Fokko Driesprong commented on SPARK-12869:
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Hi guys,
I've implemented an improv
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Apache Spark commented on SPARK-12869:
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User 'Fokko' has created a pull request for
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https://issues.apache.org/jira/browse/SPARK-6166?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15107526#comment-15107526
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Apache Spark commented on SPARK-6166:
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User 'redsanket' has created a pull request for
Jesse English created SPARK-12911:
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Summary: Cacheing a dataframe causes array comparisons to fail (in
filter / where) after 1.6
Key: SPARK-12911
URL: https://issues.apache.org/jira/browse/SPARK-12911
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https://issues.apache.org/jira/browse/SPARK-10777?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-10777:
Assignee: (was: Apache Spark)
> order by fails when column is aliased and projection i
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https://issues.apache.org/jira/browse/SPARK-10777?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15107434#comment-15107434
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Apache Spark commented on SPARK-10777:
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User 'gatorsmile' has created a pull request
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https://issues.apache.org/jira/browse/SPARK-10777?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-10777:
Assignee: Apache Spark
> order by fails when column is aliased and projection includes win
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https://issues.apache.org/jira/browse/SPARK-12816?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-12816.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 10749
[htt
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https://issues.apache.org/jira/browse/SPARK-12560?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-12560:
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Fix Version/s: 2.0.0
> SqlTestUtils.stripSparkFilter needs to copy utf8strings
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https://issues.apache.org/jira/browse/SPARK-12910?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15107369#comment-15107369
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Apache Spark commented on SPARK-12910:
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User 'napsternxg' has created a pull request
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https://issues.apache.org/jira/browse/SPARK-12560?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian resolved SPARK-12560.
Resolution: Fixed
Assignee: Imran Rashid
Resolved by https://github.com/apache/spark/pull/105
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https://issues.apache.org/jira/browse/SPARK-12910?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-12910:
Assignee: (was: Apache Spark)
> Support for specifying version of R to use while creat
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https://issues.apache.org/jira/browse/SPARK-12910?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-12910:
Assignee: Apache Spark
> Support for specifying version of R to use while creating sparkR
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https://issues.apache.org/jira/browse/SPARK-12910?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15107370#comment-15107370
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Shubhanshu Mishra commented on SPARK-12910:
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I have created a pull request at h
Shubhanshu Mishra created SPARK-12910:
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Summary: Support for specifying version of R to use while creating
sparkR libraries
Key: SPARK-12910
URL: https://issues.apache.org/jira/browse/SPARK-12910
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https://issues.apache.org/jira/browse/SPARK-12895?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-12895:
Assignee: Apache Spark (was: Andrew Or)
> Implement TaskMetrics using accumulators
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