Reinhard Eilmsteiner created SPARK-30723:
Summary: Executing the example on
https://spark.apache.org/docs/latest/running-on-yarn.html fails
Key: SPARK-30723
URL: https://issues.apache.org/jira/browse/SPARK
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Guram Savinov commented on SPARK-30701:
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Ok, let's go to Hadoop project:
https://
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Waldemar commented on SPARK-30706:
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Yes please. I have attached zip with these csv spar
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Waldemar updated SPARK-30706:
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Attachment: DateZoneBug.zip
> TimeZone in writing pure date type in CSV output
> ---
Hyukjin Kwon created SPARK-30722:
Summary: Document type hints in pandas UDF
Key: SPARK-30722
URL: https://issues.apache.org/jira/browse/SPARK-30722
Project: Spark
Issue Type: Documentation
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Wenchen Fan resolved SPARK-30717.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 27446
[https://gith
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Wenchen Fan reassigned SPARK-30717:
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Assignee: Wei Xue
> AQE subquery map should cache `SubqueryExec` instead of
> `ExecSubquer
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Hyukjin Kwon updated SPARK-30688:
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Affects Version/s: (was: 3.0.0)
> Spark SQL Unix Timestamp produces incorrect result with un
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Hyukjin Kwon edited comment on SPARK-30688 at 2/4/20 4:45 AM:
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Hyukjin Kwon updated SPARK-30688:
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Affects Version/s: 3.0.0
> Spark SQL Unix Timestamp produces incorrect result with unix_timestam
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Hyukjin Kwon reopened SPARK-30688:
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> Spark SQL Unix Timestamp produces incorrect result with unix_timestamp UDF
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Hyukjin Kwon commented on SPARK-30688:
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Ah, okay. I misread this:
{quote}
Spark-3.0
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Hyukjin Kwon commented on SPARK-30677:
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Are you able to produce reproducible steps
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Hyukjin Kwon commented on SPARK-30675:
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Are you able to provide minimised reproduce
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Hyukjin Kwon commented on SPARK-30687:
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[~bnguye1010], Spark 2.3.x is EOL. Can you
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Hyukjin Kwon resolved SPARK-30688.
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Resolution: Incomplete
> Spark SQL Unix Timestamp produces incorrect result with unix_timestam
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Hyukjin Kwon commented on SPARK-30688:
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So switching to new java.time APIs fixed th
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Hyukjin Kwon resolved SPARK-30701.
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Resolution: Not A Problem
I am resolving this as it's a Hadoop side problem.
> SQL test runni
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Hyukjin Kwon reassigned SPARK-30701:
Assignee: (was: Felix Cheung)
> SQL test running on Windows: hadoop chgrp warnings
>
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Hyukjin Kwon commented on SPARK-30706:
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Can you show your csv files?
> TimeZone in
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Hyukjin Kwon commented on SPARK-30709:
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Please ask questions into mailing list (htt
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Hyukjin Kwon resolved SPARK-30709.
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Resolution: Invalid
> Spark 2.3 to Spark 2.4 Upgrade. Problems reading HIVE partitioned tables
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Hyukjin Kwon updated SPARK-30710:
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Fix Version/s: (was: 2.4.4)
> SPARK 2.4.4 - DROP TABLE and drop HDFS
> -
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Hyukjin Kwon resolved SPARK-30710.
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Resolution: Invalid
> SPARK 2.4.4 - DROP TABLE and drop HDFS
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Hyukjin Kwon commented on SPARK-30710:
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Please ask questions into mailing list
(ht
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Hyukjin Kwon commented on SPARK-30711:
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It seems passing fine in the master. [~schr
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Hyukjin Kwon updated SPARK-30710:
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Target Version/s: (was: 2.4.4)
> SPARK 2.4.4 - DROP TABLE and drop HDFS
>
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Hyukjin Kwon commented on SPARK-30712:
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Do you have some works already done and/or
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Hyukjin Kwon commented on SPARK-30712:
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To do that, it should actually reads the fi
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Hyukjin Kwon commented on SPARK-30714:
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Spark 2.3.x is EOL so there wouldn't be no
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Dongjoon Hyun resolved SPARK-30718.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 27445
[https://
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Dongjoon Hyun reassigned SPARK-30718:
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Assignee: Dongjoon Hyun
> Exclude jdk.tools dependency from hadoop-yarn-api
> -
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Wei Xue commented on SPARK-30721:
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cc [~cloud_fan], [~Jk_Self]
> Turning off WSCG did n
Wei Xue created SPARK-30721:
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Summary: Turning off WSCG did not take effect in AQE query planning
Key: SPARK-30721
URL: https://issues.apache.org/jira/browse/SPARK-30721
Project: Spark
Issue Type:
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Wei Xue commented on SPARK-30719:
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cc [~cloud_fan], [~Jk_Self]
> AQE should not issue a
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Andrei Stankevich updated SPARK-30720:
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Description:
We are using spark 2.4.3 with mesos and with external shuffle service. Ex
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Andrei Stankevich updated SPARK-30720:
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Description:
We are using spark 2.4.3 with mesos and with external shuffle service. Ex
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Andrei Stankevich updated SPARK-30720:
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Description:
We are using spark 2.4.3 with mesos and with external shuffle service. Ex
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Andrei Stankevich updated SPARK-30720:
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Description:
We are using spark 2.4.3 with mesos and with external shuffle service. Ex
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Andrei Stankevich updated SPARK-30720:
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Description:
We are using spark 2.4.3 with mesos and with external shuffle service. Ex
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Andrei Stankevich updated SPARK-30720:
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Description:
We are using spark 2.4.3 with mesos and with external shuffle service. Ex
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Andrei Stankevich updated SPARK-30720:
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Description:
We are using spark 2.4.3 with mesos and with external shuffle service. Ex
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Andrei Stankevich updated SPARK-30720:
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Description:
We are using spark 2.4.3 with mesos and with external shuffle service. Ex
Andrei Stankevich created SPARK-30720:
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Summary: Spark framework hangs and becomes inactive on Mesos UI if
executor can not connect to shuffle external service.
Key: SPARK-30720
URL: https://issues.apache.org/
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Andrei Stankevich updated SPARK-30720:
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Description:
We are using spark 2.4.3 with mesos and with external shuffle service. Ex
Wei Xue created SPARK-30719:
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Summary: AQE should not issue a "not supported" warning for
queries being by-passed
Key: SPARK-30719
URL: https://issues.apache.org/jira/browse/SPARK-30719
Project: Spark
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Dongjoon Hyun updated SPARK-30718:
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Target Version/s: 3.0.0
> Exclude jdk.tools dependency from hadoop-yarn-api
>
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Dongjoon Hyun updated SPARK-30718:
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Parent: SPARK-29194
Issue Type: Sub-task (was: Bug)
> Exclude jdk.tools dependency fr
Dongjoon Hyun created SPARK-30718:
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Summary: Exclude jdk.tools dependency from hadoop-yarn-api
Key: SPARK-30718
URL: https://issues.apache.org/jira/browse/SPARK-30718
Project: Spark
Issue Typ
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Wei Xue updated SPARK-30717:
Summary: AQE subquery map should cache `SubqueryExec` instead of
`ExecSubqueryExpression` (was: AQE subqu
Wei Xue created SPARK-30717:
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Summary: AQE subquery map should cache `BaseSubqueryExec` instead
of `ExecSubqueryExpression`
Key: SPARK-30717
URL: https://issues.apache.org/jira/browse/SPARK-30717
Project: S
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Dongjoon Hyun commented on SPARK-30711:
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Thank you for reporting, [~schreiber]. Co
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Dongjoon Hyun updated SPARK-30711:
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Summary: 64KB JVM bytecode limit - janino.InternalCompilerException (was:
64KB JBM bytecode l
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Dongjoon Hyun commented on SPARK-30715:
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For now, I converted this to `Improvement
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Dongjoon Hyun updated SPARK-30715:
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Summary: Upgrade fabric8 to 4.7.1 to support K8s 1.17 (was: Upgrade
fabric8 to 4.7.1)
> Upgr
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Dongjoon Hyun updated SPARK-30715:
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Affects Version/s: (was: 3.0.0)
3.1.0
> Upgrade fabric8 to 4.7.1
>
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Dongjoon Hyun updated SPARK-30715:
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Issue Type: Improvement (was: Dependency upgrade)
> Upgrade fabric8 to 4.7.1
> --
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Dongjoon Hyun commented on SPARK-30715:
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Hi, [~onursatici]. We still use `4.6.4`.
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Wenchen Fan updated SPARK-30525:
Fix Version/s: (was: 3.0.0)
3.1.0
> HiveTableScanExec do not need to prune
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Wenchen Fan resolved SPARK-30525.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 27232
[https://gith
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Wenchen Fan reassigned SPARK-30525:
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Assignee: Hu Fuwang
> HiveTableScanExec do not need to prune partitions again after pushing
Wei Xue created SPARK-30716:
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Summary: Change `SkewedPartitionReaderExec` into `UnaryExecNode`
and replace the direct link with dependent stages with a reuse link
Key: SPARK-30716
URL: https://issues.apache.org/jira/bro
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Wenchen Fan commented on SPARK-30614:
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Yea we can deduce the column type so nothing
Onur Satici created SPARK-30715:
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Summary: Upgrade fabric8 to 4.7.1
Key: SPARK-30715
URL: https://issues.apache.org/jira/browse/SPARK-30715
Project: Spark
Issue Type: Dependency upgrade
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Shubham Chaurasia commented on SPARK-30714:
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Oh looks like https://issues.apac
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Shubham Chaurasia updated SPARK-30714:
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Description:
Consider the following scenarios -
1)
{code:scala}
scala> spark.read.for
Shubham Chaurasia created SPARK-30714:
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Summary: DSV2: Vectorized datasource does not have handling for
ProlepticCalendar
Key: SPARK-30714
URL: https://issues.apache.org/jira/browse/SPARK-30714
Pr
liupengcheng created SPARK-30713:
Summary: Respect mapOutputSize in memory in adaptive execution
Key: SPARK-30713
URL: https://issues.apache.org/jira/browse/SPARK-30713
Project: Spark
Issue T
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Frederik Schreiber updated SPARK-30711:
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Environment:
Windows 10
Spark 2.4.4
scalaVersion 2.11.12
JVM Oracle 1.8.0_221-b11
liupengcheng created SPARK-30712:
Summary: Estimate sizeInBytes from file metadata for parquet files
Key: SPARK-30712
URL: https://issues.apache.org/jira/browse/SPARK-30712
Project: Spark
Iss
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Frederik Schreiber commented on SPARK-22510:
extract my code to an example a
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Frederik Schreiber edited comment on SPARK-22510 at 2/3/20 12:35 PM:
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Frederik Schreiber updated SPARK-30711:
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Description:
Exception
{code:java}
ERROR CodeGenerator: failed to compile:
org.code
Frederik Schreiber created SPARK-30711:
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Summary: 64KB JBM bytecode limit - janino.InternalCompilerException
Key: SPARK-30711
URL: https://issues.apache.org/jira/browse/SPARK-30711
Project: Spark
Nguyen Nhanduc created SPARK-30710:
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Summary: SPARK 2.4.4 - DROP TABLE and drop HDFS
Key: SPARK-30710
URL: https://issues.apache.org/jira/browse/SPARK-30710
Project: Spark
Issue Type: Questi
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Jorge Machado commented on SPARK-27990:
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[~nchammas]: Just pass this like:
{code:
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Jorge Machado commented on SPARK-27990:
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Can we backport this to 2.4.4 ?
> Provid
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Yuming Wang resolved SPARK-28413.
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Resolution: Fixed
The issue fixed by
https://github.com/apache/spark/commit/17881a467a1ac4224a5
Carlos Mario created SPARK-30709:
Summary: Spark 2.3 to Spark 2.4 Upgrade. Problems reading HIVE
partitioned tables.
Key: SPARK-30709
URL: https://issues.apache.org/jira/browse/SPARK-30709
Project: Sp
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Hyukjin Kwon commented on SPARK-29245:
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I sent an email to Hive dev for Hive 2.3.7
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Frederik Schreiber commented on SPARK-22510:
thank you for answer i try to e
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Kazuaki Ishizaki commented on SPARK-22510:
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[~schreiber] Thank you for reportin
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Frederik Schreiber commented on SPARK-25094:
Should this issue linked to SPA
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Frederik Schreiber edited comment on SPARK-22510 at 2/3/20 8:29 AM:
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Frederik Schreiber commented on SPARK-22510:
Hi [~smilegator], [~kiszk]
we
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jiaan.geng commented on SPARK-30708:
I'm working!
> first_value/last_value window f
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jiaan.geng updated SPARK-30707:
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Description:
Lead/Lag window function throws AnalysisException without ORDER BY clause:
{code:java}
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jiaan.geng updated SPARK-30708:
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Summary: first_value/last_value window function throws ParseException
(was: first_value/last_value
jiaan.geng created SPARK-30708:
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Summary: first_value/last_value throws ParseException
Key: SPARK-30708
URL: https://issues.apache.org/jira/browse/SPARK-30708
Project: Spark
Issue Type: Sub-task
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