Damian Momot created SPARK-18484:
Summary: case class datasets - ability to specify decimal
precision and scale
Key: SPARK-18484
URL: https://issues.apache.org/jira/browse/SPARK-18484
Project: Spark
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Damian Momot updated SPARK-18484:
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Description:
Currently when using decimal type (BigDecimal in scala case class) there's no
way t
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Takeshi Yamamuro commented on SPARK-18478:
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ya, I'll make a pr later, thanks!
>
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Reynold Xin commented on SPARK-18478:
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Yea that it seems like it's worth doing.
> S
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Takeshi Yamamuro commented on SPARK-18478:
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[~rxin] seems we have some performan
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Apache Spark commented on SPARK-14974:
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User 'baishuo' has created a pull request fo
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roncenzhao commented on SPARK-18074:
I have encountered this problem, too. If any one
inred created SPARK-18483:
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Summary: spark on yarn always connect to yarn resourcemanager at
0.0.0.0:8032
Key: SPARK-18483
URL: https://issues.apache.org/jira/browse/SPARK-18483
Project: Spark
Iss
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Ohad Raviv commented on SPARK-17662:
you're right,
great solution!
I didn't know abou
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Genmao Yu commented on SPARK-18470:
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Thanks for your suggestions, i will provide it lat
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Apache Spark commented on SPARK-18481:
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User 'yanboliang' has created a pull request
Wenchen Fan created SPARK-18482:
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Summary: make sure Spark can access the table metadata created by
older version of spark
Key: SPARK-18482
URL: https://issues.apache.org/jira/browse/SPARK-18482
Project
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Josh Rosen updated SPARK-1267:
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Fix Version/s: 2.1.0
> Add a pip installer for PySpark
> ---
>
>
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Josh Rosen updated SPARK-18129:
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Fix Version/s: 2.1.0
> Sign pip artifacts
> --
>
> Key: SPARK-18129
>
Yanbo Liang created SPARK-18481:
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Summary: ML 2.1 QA: Remove deprecated methods for ML
Key: SPARK-18481
URL: https://issues.apache.org/jira/browse/SPARK-18481
Project: Spark
Issue Type: Improv
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Wenchen Fan resolved SPARK-18442.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15887
[https://githu
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Wenchen Fan updated SPARK-18442:
Assignee: Takuya Ueshin
> Fix nullability of WrapOption.
> --
>
>
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Apache Spark reassigned SPARK-18480:
Assignee: (was: Apache Spark)
> Link validation for ML guides
> --
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Apache Spark reassigned SPARK-18480:
Assignee: Apache Spark
> Link validation for ML guides
> -
>
>
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Apache Spark commented on SPARK-18480:
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User 'zhengruifeng' has created a pull reque
zhengruifeng created SPARK-18480:
Summary: Link validation for ML guides
Key: SPARK-18480
URL: https://issues.apache.org/jira/browse/SPARK-18480
Project: Spark
Issue Type: Bug
Compo
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Takeshi Yamamuro commented on SPARK-18478:
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okay, I'll check
> Support codegen
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Yanbo Liang updated SPARK-18319:
Assignee: yuhao yang
> ML, Graph 2.1 QA: API: Experimental, DeveloperApi, final, sealed audit
> ---
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Yanbo Liang updated SPARK-18320:
Assignee: Seth Hendrickson
> ML 2.1 QA: API: Python API coverage
>
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Reynold Xin commented on SPARK-18478:
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Are there any performance improvements we will
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Xiangrui Meng reassigned SPARK-18317:
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Assignee: Xiangrui Meng
> ML, Graph 2.1 QA: API: Binary incompatible changes
> -
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Felix Cheung reassigned SPARK-18449:
Assignee: Felix Cheung
> Name option is being ignored when submitting an R application via
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Felix Cheung commented on SPARK-18449:
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Good catch, this is likely because the R fun
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Jason Pan commented on SPARK-18353:
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Thanks sean. It works.
Just for the doc: "spark.
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Yin Huai updated SPARK-18468:
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Description:
https://amplab.cs.berkeley.edu/jenkins/job/spark-branch-2.1-test-sbt-hadoop-2.4/71/testRepor
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Yin Huai updated SPARK-18468:
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Component/s: (was: SQL)
Spark Core
> Flaky test: org.apache.spark.sql.hive.HiveSpark
Hamel Ajay Kothari created SPARK-18479:
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Summary: spark.sql.shuffle.partitions defaults should be a prime
number
Key: SPARK-18479
URL: https://issues.apache.org/jira/browse/SPARK-18479
Project: S
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Takeshi Yamamuro commented on SPARK-18478:
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We can simply fix this
(https://git
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peay edited comment on SPARK-18473 at 11/17/16 12:55 AM:
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Ok, I s
Takeshi Yamamuro created SPARK-18478:
Summary: Support codegen for Hive UDFs
Key: SPARK-18478
URL: https://issues.apache.org/jira/browse/SPARK-18478
Project: Spark
Issue Type: Improvement
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Apache Spark commented on SPARK-18477:
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User 'zsxwing' has created a pull request fo
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peay commented on SPARK-18473:
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Ok, I see, thanks. The fix is in 2.0.3 though, not 2.0.2, co
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Apache Spark reassigned SPARK-18477:
Assignee: Shixiong Zhu (was: Apache Spark)
> Enable interrupts for HDFS in HDFSMetadataLo
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Dongjoon Hyun commented on SPARK-18473:
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Hi, [~peay].
Maybe, the relevant one is ht
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Apache Spark reassigned SPARK-18477:
Assignee: Apache Spark (was: Shixiong Zhu)
> Enable interrupts for HDFS in HDFSMetadataLo
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Dongjoon Hyun commented on SPARK-18473:
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Wow. Please forget about my comment. :)
I
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Herman van Hovell closed SPARK-18473.
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Resolution: Fixed
Assignee: Xiao Li
Fixed by gatorsmile's PR for SPARK-17981/SPARK-
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Herman van Hovell commented on SPARK-18473:
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This is probably caused by SPARK-1
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Apache Spark commented on SPARK-18476:
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User 'wangmiao1981' has created a pull reque
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Apache Spark reassigned SPARK-18476:
Assignee: Apache Spark
> SparkR Logistic Regression should should support output original
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Apache Spark reassigned SPARK-18476:
Assignee: (was: Apache Spark)
> SparkR Logistic Regression should should support outpu
Shixiong Zhu created SPARK-18477:
Summary: Enable interrupts for HDFS in HDFSMetadataLog
Key: SPARK-18477
URL: https://issues.apache.org/jira/browse/SPARK-18477
Project: Spark
Issue Type: Imp
Miao Wang created SPARK-18476:
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Summary: SparkR Logistic Regression should should support output
original label.
Key: SPARK-18476
URL: https://issues.apache.org/jira/browse/SPARK-18476
Project: Spark
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Apache Spark commented on SPARK-18475:
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User 'brkyvz' has created a pull request for
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Apache Spark reassigned SPARK-18475:
Assignee: (was: Apache Spark)
> Be able to provide higher parallelization for Structur
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Apache Spark reassigned SPARK-18475:
Assignee: Apache Spark
> Be able to provide higher parallelization for StructuredStreaming
Burak Yavuz created SPARK-18475:
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Summary: Be able to provide higher parallelization for
StructuredStreaming Kafka Source
Key: SPARK-18475
URL: https://issues.apache.org/jira/browse/SPARK-18475
Project:
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Yin Huai resolved SPARK-18186.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 15703
[https://github.com/
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Josh Rosen resolved SPARK-1267.
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Resolution: Fixed
Fix Version/s: 2.2.0
Merged into master (2.2) and will consider for 2.1.
> A
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Josh Rosen updated SPARK-18129:
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Assignee: holdenk
> Sign pip artifacts
> --
>
> Key: SPARK-18129
>
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Josh Rosen resolved SPARK-18129.
Resolution: Fixed
Fix Version/s: 2.2.0
Merged to master (2.2).
> Sign pip artifacts
> -
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Josh Rosen updated SPARK-1267:
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Assignee: holdenk
> Add a pip installer for PySpark
> ---
>
>
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Reynold Xin updated SPARK-16609:
Assignee: (was: Reynold Xin)
> Single function for parsing timestamps/dates
> -
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Bill Chambers resolved SPARK-18424.
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Resolution: Duplicate
This is a duplicate of SPARK-16609. Work will continue there.
> Single
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Bill Chambers commented on SPARK-16609:
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I am working on this.
> Single function f
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Bill Chambers updated SPARK-18424:
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Summary: Single Function for Parsing Dates and Times with Formats (was:
Single Funct)
> Singl
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Bill Chambers updated SPARK-18424:
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Summary: Single Funct (was: Improve Date Parsing Semantics & Functionality)
> Single Funct
> -
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peay commented on SPARK-18473:
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Ah, great, thanks. I had checked out the CHANGELOG but could
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Herman van Hovell commented on SPARK-18473:
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This has been fixed in spark 2.0.2
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Herman van Hovell edited comment on SPARK-18473 at 11/16/16 8:59 PM:
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Tathagata Das created SPARK-18474:
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Summary: Add StreamingQuery.status in python
Key: SPARK-18474
URL: https://issues.apache.org/jira/browse/SPARK-18474
Project: Spark
Issue Type: Sub-task
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peay updated SPARK-18473:
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Description:
I have stumbled onto a corner case where an INNER join appears to return
incorrect results. I belie
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peay updated SPARK-18473:
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Description:
I have stumbled onto a corner case where an INNER join appears to return
incorrect results. I belie
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peay updated SPARK-18473:
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Description:
I have stumbled onto a corner case where an INNER join appears to return
incorrect results. I belie
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peay updated SPARK-18473:
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Description:
I have stumbled onto a corner case where an INNER join appears to return
incorrect results. I belie
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peay updated SPARK-18473:
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Description:
I have stumbled onto a corner case where an INNER join appears to return
incorrect results. I belie
peay created SPARK-18473:
Summary: Correctness issue in INNER join result with window
functions
Key: SPARK-18473
URL: https://issues.apache.org/jira/browse/SPARK-18473
Project: Spark
Issue Type: Bug
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Herman van Hovell closed SPARK-16795.
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Resolution: Duplicate
> Spark's HiveThriftServer should be able to use multiple sqlContex
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Herman van Hovell commented on SPARK-16795:
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Spark uses one Hive client per spa
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Herman van Hovell resolved SPARK-16865.
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Resolution: Fixed
Assignee: Peter Lee
Fix Version/s: 2.0.1
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Herman van Hovell updated SPARK-16951:
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Issue Type: Sub-task (was: Improvement)
Parent: SPARK-18455
> Alternative impl
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Herman van Hovell resolved SPARK-17268.
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Resolution: Fixed
Fix Version/s: 2.1.0
> Break Optimizer.scala apart
> ---
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Sital Kedia commented on SPARK-13510:
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[~shenhong] - We are seeing the same issue on
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Herman van Hovell commented on SPARK-17450:
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[~cenyuhai] did you have any luck
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Herman van Hovell closed SPARK-17662.
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Resolution: Not A Problem
> Dedup UDAF
> --
>
> Key: SPARK-17662
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Herman van Hovell commented on SPARK-17662:
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This is more of a question for the
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Herman van Hovell commented on SPARK-18172:
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This is different from SPARK-18300
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Herman van Hovell resolved SPARK-18172.
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Resolution: Fixed
Fix Version/s: 2.0.2
Target Version/s: (was: 2.1.
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Herman van Hovell updated SPARK-17786:
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Target Version/s: 2.1.0
> [SPARK 2.0] Sorting algorithm gives higher skewness of output
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Herman van Hovell updated SPARK-17788:
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Target Version/s: 2.1.0
> RangePartitioner results in few very large tasks and many sma
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Herman van Hovell commented on SPARK-17932:
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This is currently not implemented
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Herman van Hovell updated SPARK-17897:
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Target Version/s: 2.1.0
> not isnotnull is converted to the always false condition isno
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Apache Spark commented on SPARK-18460:
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User 'tdas' has created a pull request for t
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Apache Spark commented on SPARK-18459:
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User 'tdas' has created a pull request for t
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Herman van Hovell edited comment on SPARK-17977 at 11/16/16 7:07 PM:
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Herman van Hovell commented on SPARK-17977:
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[~aassudani] want to open a PR for
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Herman van Hovell commented on SPARK-18458:
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Nice find!
> core dumped running
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Michael Armbrust resolved SPARK-18461.
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Resolution: Fixed
Issue resolved by pull request 15897
[https://github.com/apache/spark
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Michael Armbrust commented on SPARK-17977:
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No, they were actually the same clas
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Apache Spark reassigned SPARK-18458:
Assignee: (was: Apache Spark)
> core dumped running Spark SQL on large data volume (10
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Apache Spark reassigned SPARK-18458:
Assignee: Apache Spark
> core dumped running Spark SQL on large data volume (100TB)
>
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Kazuaki Ishizaki commented on SPARK-18458:
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I worked with [~jfc...@us.ibm.com].
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Kazuaki Ishizaki updated SPARK-18458:
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Comment: was deleted
(was: I worked with [~jfc...@us.ibm.com]. Then, I identified that a
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Kazuaki Ishizaki commented on SPARK-18458:
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I worked with [~jfc...@us.ibm.com].
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Emlyn Corrin commented on SPARK-18172:
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It occurs on 2.0.1 and 2.0.2 (on Mac, instal
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