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Kent Yao updated SPARK-23295:
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Description:
When we specified a wrong profile to make a spark distribution, such as
-Phadoop1000, we wi
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Apache Spark reassigned SPARK-23295:
Assignee: Apache Spark
> Exclude Waring message when generating versions in make-distribu
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Apache Spark commented on SPARK-23295:
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User 'yaooqinn' has created a pull request f
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Apache Spark reassigned SPARK-23295:
Assignee: (was: Apache Spark)
> Exclude Waring message when generating versions in ma
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Wenchen Fan commented on SPARK-23284:
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Since this defines the "return null" behavior
Kent Yao created SPARK-23295:
Summary: Exclude Waring message when generating versions in
make-distribution.sh
Key: SPARK-23295
URL: https://issues.apache.org/jira/browse/SPARK-23295
Project: Spark
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Wenchen Fan updated SPARK-23284:
Target Version/s: 2.3.0
> Document several get API of ColumnVector's behavior when accessing null s
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Wenchen Fan updated SPARK-23284:
Affects Version/s: (was: 2.4.0)
2.3.0
> Document several get API of Colu
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Gengliang Wang updated SPARK-23202:
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Summary: Add new API in DataSourceWriter: onDataWriterCommit (was: Break
down DataSourceV2Wr
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Gengliang Wang updated SPARK-23202:
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Description:
The current DataSourceWriter API makes it hard to implement
{{onTaskCommit(task
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Gengliang Wang updated SPARK-23202:
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Description:
The current DataSourceWriter API makes it hard to implement
{{onTaskCommit(task
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Xiao Li updated SPARK-23202:
Priority: Major (was: Blocker)
> Break down DataSourceV2Writer.commit into two phase
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Xiao Li updated SPARK-23202:
Target Version/s: 2.4.0 (was: 2.3.0)
> Break down DataSourceV2Writer.commit into two phase
> -
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Apache Spark commented on SPARK-23280:
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User 'ueshin' has created a pull request for
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Weichen Xu commented on SPARK-10884:
[~mingma] I hope so but now the code freeze and
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Ming Ma commented on SPARK-10884:
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Cool. Could we get it in for 2.3? This will bring Spar
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Ravinder Matte updated SPARK-23294:
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Labels: ConsoleSink RateSource backpressure maxRate (was: ConsoleSink
RateSource)
> Spark S
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Ravinder Matte updated SPARK-23294:
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Description:
Using following configs while building SparkSession
("spark.streaming.backpress
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Ravinder Matte updated SPARK-23294:
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Labels: ConsoleSink RateSource (was: kinesis)
> Spark Streaming + Rate source + Console Sink
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Saisai Shao updated SPARK-23200:
Fix Version/s: (was: 2.4.0)
> Reset configuration when restarting from checkpoints
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Ravinder Matte updated SPARK-23294:
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Fix Version/s: (was: 2.2.0)
> Spark Streaming + Rate source + Console Sink : Receiver Max
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Saisai Shao reopened SPARK-23200:
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Assignee: (was: Santiago Saavedra)
> Reset configuration when restarting from checkpoints
>
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Ravinder Matte updated SPARK-23294:
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Component/s: (was: DStreams)
Structured Streaming
> Spark Streaming + Ra
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Ravinder Matte updated SPARK-23294:
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Affects Version/s: (was: 2.0.2)
2.2.1
> Spark Streaming + Rate sou
Ravinder Matte created SPARK-23294:
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Summary: Spark Streaming + Rate source + Console Sink : Receiver
MaxRate is violated
Key: SPARK-23294
URL: https://issues.apache.org/jira/browse/SPARK-23294
Proje
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Felix Cheung updated SPARK-23291:
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Shepherd: Felix Cheung (was: Hossein Falaki)
> SparkR : substr : In SparkR dataframe , starting
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Apache Spark commented on SPARK-22274:
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User 'ueshin' has created a pull request for
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Apache Spark commented on SPARK-23293:
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User 'cloud-fan' has created a pull request
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Apache Spark reassigned SPARK-23293:
Assignee: Wenchen Fan (was: Apache Spark)
> data source v2 self join fails
>
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Apache Spark reassigned SPARK-23293:
Assignee: Apache Spark (was: Wenchen Fan)
> data source v2 self join fails
>
Wenchen Fan created SPARK-23293:
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Summary: data source v2 self join fails
Key: SPARK-23293
URL: https://issues.apache.org/jira/browse/SPARK-23293
Project: Spark
Issue Type: Bug
Compon
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Wenchen Fan resolved SPARK-23188.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 20361
[https://githu
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Wenchen Fan reassigned SPARK-23188:
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Assignee: Jiang Xingbo
> Make vectorized columar reader batch size configurable
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Apache Spark commented on SPARK-23292:
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User 'cloud-fan' has created a pull request
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Apache Spark reassigned SPARK-23292:
Assignee: (was: Apache Spark)
> python tests related to pandas are skipped
> -
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Weichen Xu commented on SPARK-10884:
[~mingma] sure. But need to wait until spark 2.3
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Apache Spark reassigned SPARK-23292:
Assignee: Apache Spark
> python tests related to pandas are skipped
>
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Xiao Li reassigned SPARK-23281:
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Assignee: Dilip Biswal
> Query produces results in incorrect order when a composite order by clause
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Xiao Li resolved SPARK-23281.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.2
> Query produces results in incorr
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Xiao Li resolved SPARK-21396.
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Resolution: Fixed
Fix Version/s: 2.3.0
> Spark Hive Thriftserver doesn't return UDT field
> --
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Xiao Li reassigned SPARK-21396:
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Assignee: Ken Tore Tallakstad
> Spark Hive Thriftserver doesn't return UDT field
> -
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Xiao Li resolved SPARK-23268.
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Resolution: Fixed
Assignee: Gengliang Wang
Fix Version/s: 2.3.0
> Reorganize packages in
Yin Huai created SPARK-23292:
Summary: python tests related to pandas are skipped
Key: SPARK-23292
URL: https://issues.apache.org/jira/browse/SPARK-23292
Project: Spark
Issue Type: Bug
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Wenchen Fan resolved SPARK-23247.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 20415
[https://githu
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Wenchen Fan reassigned SPARK-23247:
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Assignee: caoxuewen
> combines Unsafe operations and statistics operations in Scan Data Sour
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Gaurav Garg commented on SPARK-18016:
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[~kiszk], I have Spark 2.2.0 environment, will
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Wenchen Fan resolved SPARK-23280.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 20450
[https://githu
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Apache Spark commented on SPARK-23291:
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User 'viirya' has created a pull request for
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Apache Spark reassigned SPARK-23291:
Assignee: (was: Apache Spark)
> SparkR : substr : In SparkR dataframe , starting and e
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Apache Spark reassigned SPARK-23291:
Assignee: Apache Spark
> SparkR : substr : In SparkR dataframe , starting and ending posit
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Dongjoon Hyun commented on SPARK-14492:
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Hi, [~smilegator].
According to the doc a
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Hyukjin Kwon reopened SPARK-23157:
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> withColumn fails for a column that is a result of mapped DataSet
> --
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Hyukjin Kwon reassigned SPARK-23157:
Assignee: Henry Robinson
> withColumn fails for a column that is a result of mapped DataSe
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Hyukjin Kwon resolved SPARK-23157.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 20443
[https://git
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Ming Ma commented on SPARK-10884:
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Thanks [~WeichenXu123] and [~yanboliang]. While the lo
Narendra created SPARK-23291:
Summary: SparkR : substr : In SparkR dataframe , starting and
ending position arguments in "substr" is giving wrong result when the position
is greater than 1
Key: SPARK-23291
URL: http
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Michal Šenkýř commented on SPARK-23251:
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Yes, this does seem like the Map encoder i
Andre Menck created SPARK-23290:
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Summary: inadvertent change in handling of DateType when
converting to pandas dataframe
Key: SPARK-23290
URL: https://issues.apache.org/jira/browse/SPARK-23290
Project:
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Tony Xu edited comment on SPARK-19209 at 1/31/18 10:26 PM:
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Thi
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Tony Xu commented on SPARK-19209:
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This seems like a forgotten issue but I'm still experi
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Apache Spark commented on SPARK-23020:
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User 'vanzin' has created a pull request for
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Apache Spark reassigned SPARK-23289:
Assignee: Apache Spark (was: Shixiong Zhu)
> OneForOneBlockFetcher.DownloadCallback.onDat
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Apache Spark commented on SPARK-23289:
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User 'zsxwing' has created a pull request fo
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Apache Spark reassigned SPARK-23289:
Assignee: Shixiong Zhu (was: Apache Spark)
> OneForOneBlockFetcher.DownloadCallback.onDat
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Edwina Lu updated SPARK-23206:
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Attachment: StageTab.png
> Additional Memory Tuning Metrics
>
>
>
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Edwina Lu updated SPARK-23206:
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Attachment: (was: StageTab.png)
> Additional Memory Tuning Metrics
> --
Shixiong Zhu created SPARK-23289:
Summary: OneForOneBlockFetcher.DownloadCallback.onData may write
just a part of data
Key: SPARK-23289
URL: https://issues.apache.org/jira/browse/SPARK-23289
Project:
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Yanbo Liang commented on SPARK-23107:
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[~sameerag] Yes, the fix should be API scope c
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Apache Spark reassigned SPARK-23285:
Assignee: (was: Apache Spark)
> Allow spark.executor.cores to be fractional
>
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Apache Spark reassigned SPARK-23285:
Assignee: Apache Spark
> Allow spark.executor.cores to be fractional
> ---
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Apache Spark commented on SPARK-23285:
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User 'liyinan926' has created a pull request
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Apache Spark reassigned SPARK-23107:
Assignee: Apache Spark (was: Yanbo Liang)
> ML, Graph 2.3 QA: API: New Scala APIs, docs
>
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Apache Spark reassigned SPARK-23107:
Assignee: Yanbo Liang (was: Apache Spark)
> ML, Graph 2.3 QA: API: New Scala APIs, docs
>
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Apache Spark commented on SPARK-23107:
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User 'yanboliang' has created a pull request
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Sameer Agarwal commented on SPARK-23107:
[~yanboliang] other than adding docs, ar
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Marcelo Vanzin resolved SPARK-21525.
Resolution: Fixed
Fix Version/s: 2.4.0
> ReceiverSupervisorImpl seems to ignore the
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Marcelo Vanzin reassigned SPARK-21525:
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Assignee: Marcelo Vanzin
> ReceiverSupervisorImpl seems to ignore the error code when
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Yinan Li commented on SPARK-23285:
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Another option is to bypass that check for Kubernete
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Andrew Ash commented on SPARK-23274:
Many thanks for the fast fix [~smilegator]!
> R
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Kazuaki Ishizaki resolved SPARK-20826.
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Resolution: Duplicate
> Support compression/decompression of ColumnVector in generated
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Weichen Xu commented on SPARK-23110:
[~yanboliang] OK.
> ML 2.3 QA: API: Java compat
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Kazuaki Ishizaki resolved SPARK-20823.
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Resolution: Won't Fix
> Generate code to build table cache using ColumnarBatch and to g
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Kazuaki Ishizaki resolved SPARK-20821.
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Resolution: Won't Fix
> Add compression/decompression of data to ColumnVector for other
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Kazuaki Ishizaki resolved SPARK-20820.
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Resolution: Duplicate
> Add compression/decompression of data to ColumnVector for other
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Kazuaki Ishizaki resolved SPARK-20824.
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Resolution: Won't Fix
> Generate code to get value from table cache with wider column i
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https://issues.apache.org/jira/browse/SPARK-20825?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kazuaki Ishizaki resolved SPARK-20825.
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Resolution: Not A Problem
> Generate code to get value from table cache with wider colu
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https://issues.apache.org/jira/browse/SPARK-22747?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kazuaki Ishizaki resolved SPARK-22747.
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Resolution: Won't Fix
> Shorten lifetime of global variables used in HashAggregateExec
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https://issues.apache.org/jira/browse/SPARK-21657?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li updated SPARK-21657:
Component/s: (was: Spark Core)
> Spark has exponential time complexity to explode(array of structs)
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https://issues.apache.org/jira/browse/SPARK-23110?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16347385#comment-16347385
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Apache Spark commented on SPARK-23110:
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User 'WeichenXu123' has created a pull reque
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https://issues.apache.org/jira/browse/SPARK-22036?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li updated SPARK-22036:
Component/s: (was: Spark Core)
SQL
> BigDecimal multiplication sometimes returns null
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https://issues.apache.org/jira/browse/SPARK-23107?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16347386#comment-16347386
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Yanbo Liang commented on SPARK-23107:
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[~mlnick] Sorry for late response, really busy
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https://issues.apache.org/jira/browse/SPARK-23110?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23110:
Assignee: Apache Spark (was: Weichen Xu)
> ML 2.3 QA: API: Java compatibility, docs
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https://issues.apache.org/jira/browse/SPARK-23110?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23110:
Assignee: Weichen Xu (was: Apache Spark)
> ML 2.3 QA: API: Java compatibility, docs
> ---
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https://issues.apache.org/jira/browse/SPARK-23110?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16347381#comment-16347381
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Yanbo Liang commented on SPARK-23110:
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[~mlnick] Yes, we should make it \{{private[ml
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https://issues.apache.org/jira/browse/SPARK-22130?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li updated SPARK-22130:
Component/s: (was: Spark Core)
SQL
> UTF8String.trim() inefficiently scans all white-s
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https://issues.apache.org/jira/browse/SPARK-22247?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li updated SPARK-22247:
Component/s: (was: Spark Core)
> Hive partition filter very slow
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>
>
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https://issues.apache.org/jira/browse/SPARK-22291?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li updated SPARK-22291:
Component/s: (was: Spark Core)
> Postgresql UUID[] to Cassandra: Conversion Error
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https://issues.apache.org/jira/browse/SPARK-22935?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kazuaki Ishizaki resolved SPARK-22935.
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Resolution: Invalid
> Dataset with Java Beans for java.sql.Date throws CompileException
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https://issues.apache.org/jira/browse/SPARK-23110?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16347369#comment-16347369
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Weichen Xu commented on SPARK-23110:
+1.
Should make it to be `private[ml]`
> ML 2.3
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https://issues.apache.org/jira/browse/SPARK-19236?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li updated SPARK-19236:
Component/s: (was: Spark Core)
SQL
> Add createOrReplaceGlobalTempView
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