Dilip Biswal created SPARK-25600:
Summary: Make use of TypeCoercion.findTightestCommonType while
inferring CSV schema
Key: SPARK-25600
URL: https://issues.apache.org/jira/browse/SPARK-25600
Project: S
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Apache Spark reassigned SPARK-25600:
Assignee: (was: Apache Spark)
> Make use of TypeCoercion.findTightestCommonType while
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Apache Spark reassigned SPARK-25600:
Assignee: Apache Spark
> Make use of TypeCoercion.findTightestCommonType while inferring
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Apache Spark commented on SPARK-25600:
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User 'dilipbiswal' has created a pull reque
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Marco Gaido commented on SPARK-25582:
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Hi [~onyssius]. Sorry for the trouble, it sho
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Hyukjin Kwon reassigned SPARK-25595:
Assignee: Gengliang Wang
> Ignore corrupt Avro file if flag IGNORE_CORRUPT_FILES enabled
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Hyukjin Kwon resolved SPARK-25595.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 22611
[https://gi
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Rob Vesse updated SPARK-23153:
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Description: Currently local dependencies are not supported with Spark on
K8S i.e. if the user has cod
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Hyukjin Kwon updated SPARK-22978:
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Summary: Register Scalar Vectorized UDFs for SQL Statement (was: Register
Vectorized UDFs for S
Hyukjin Kwon created SPARK-25601:
Summary: Register Grouped aggregate UDF Vectorized UDFs for SQL
Statement
Key: SPARK-25601
URL: https://issues.apache.org/jira/browse/SPARK-25601
Project: Spark
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Dongjoon Hyun updated SPARK-25583:
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Fix Version/s: 2.3.3
> Add newly added History server related configurations in the documentat
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Dongjoon Hyun reassigned SPARK-25589:
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Assignee: Dongjoon Hyun
> Add BloomFilterBenchmark
>
>
>
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Dongjoon Hyun resolved SPARK-25589.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 22605
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Dongjoon Hyun resolved SPARK-25483.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 22491
[https://
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Dongjoon Hyun reassigned SPARK-25483:
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Assignee: Yuming Wang
> Refactor UnsafeArrayDataBenchmark to use main method
>
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Dongjoon Hyun updated SPARK-25483:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Refactor UnsafeArrayDataBen
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Dongjoon Hyun updated SPARK-25565:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Add scala style checker to
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Apache Spark reassigned SPARK-25601:
Assignee: (was: Apache Spark)
> Register Grouped aggregate UDF Vectorized UDFs for SQ
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Dongjoon Hyun updated SPARK-25589:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Add BloomFilterBenchmark
>
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Apache Spark reassigned SPARK-25601:
Assignee: Apache Spark
> Register Grouped aggregate UDF Vectorized UDFs for SQL Statement
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Apache Spark commented on SPARK-25601:
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User 'HyukjinKwon' has created a pull reque
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Dongjoon Hyun updated SPARK-25549:
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Affects Version/s: (was: 2.5.0)
3.0.0
> High level API to collect R
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Dongjoon Hyun updated SPARK-25542:
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Affects Version/s: (was: 2.5.0)
2.4.0
> Flaky test: OpenHashMapSuit
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Dongjoon Hyun updated SPARK-25553:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Add EmptyInterpolatedString
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Dongjoon Hyun updated SPARK-25532:
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Affects Version/s: (was: 2.5.0)
3.0.0
> A stable and efficient row
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Dongjoon Hyun updated SPARK-25534:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Make `SQLHelper` trait
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Dongjoon Hyun updated SPARK-25539:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Update lz4-java to get spee
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Dongjoon Hyun updated SPARK-25530:
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Target Version/s: 3.0.0 (was: 2.5.0)
> data source v2 write side API refactoring
> --
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Dongjoon Hyun updated SPARK-25530:
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Affects Version/s: (was: 2.5.0)
3.0.0
> data source v2 write side A
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Dongjoon Hyun updated SPARK-25531:
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Affects Version/s: (was: 2.5.0)
3.0.0
> new write APIs for data sou
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Dongjoon Hyun updated SPARK-25528:
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Target Version/s: 3.0.0 (was: 2.5.0)
> data source V2 read side API refactoring
> ---
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Dongjoon Hyun updated SPARK-25528:
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Affects Version/s: (was: 2.5.0)
3.0.0
> data source V2 read side AP
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Dongjoon Hyun commented on SPARK-25530:
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I updated the versions from 2.5.0 to 3.0.
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Dongjoon Hyun updated SPARK-25515:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Add a config property for d
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Dongjoon Hyun updated SPARK-25508:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Refactor OrcReadBenchmark t
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Dongjoon Hyun updated SPARK-25510:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Create a new trait SqlBase
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Dongjoon Hyun updated SPARK-25488:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Refactor MiscBenchmark to u
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Dongjoon Hyun updated SPARK-25486:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Refactor SortBenchmark to u
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Dongjoon Hyun updated SPARK-25492:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Refactor WideSchemaBenchmar
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Dongjoon Hyun updated SPARK-25485:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Refactor UnsafeProjectionBe
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Dongjoon Hyun updated SPARK-25481:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Refactor ColumnarBatchBench
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Dongjoon Hyun updated SPARK-25479:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Refactor DatasetBenchmark t
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Dongjoon Hyun updated SPARK-25478:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Refactor CompressionSchemeB
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Dongjoon Hyun updated SPARK-25476:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Refactor AggregateBenchmark
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Dongjoon Hyun updated SPARK-25475:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Refactor all benchmark to s
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Dongjoon Hyun updated SPARK-25458:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Support FOR ALL COLUMNS in
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Dongjoon Hyun updated SPARK-25444:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Refactor GenArrayData.genCo
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Dongjoon Hyun updated SPARK-25442:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Support STS to run in K8S d
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Dongjoon Hyun updated SPARK-25457:
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Affects Version/s: (was: 2.5.0)
3.0.0
> IntegralDivide (div) should
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Dongjoon Hyun updated SPARK-25390:
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Affects Version/s: (was: 2.5.0)
3.0.0
> data source V2 API refactor
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Dongjoon Hyun updated SPARK-25423:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Output "dataFilters" in Dat
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Dongjoon Hyun updated SPARK-25390:
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Target Version/s: 3.0.0 (was: 2.5.0)
> data source V2 API refactoring
> -
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Dongjoon Hyun updated SPARK-16323:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Avoid unnecessary cast when
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Dongjoon Hyun updated SPARK-25436:
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Affects Version/s: (was: 2.5.0)
3.0.0
> Bump master branch version
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Dongjoon Hyun commented on SPARK-25436:
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I updated the versions to 3.0.0 since we
Wenchen Fan created SPARK-25602:
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Summary: range metrics can be wrong if the result rows are not
fully consumed
Key: SPARK-25602
URL: https://issues.apache.org/jira/browse/SPARK-25602
Project: Spark
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Dongjoon Hyun commented on SPARK-25062:
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Hi, [~petertoth].
According to your descr
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Dongjoon Hyun updated SPARK-25062:
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Issue Type: Improvement (was: Bug)
> Clean up BlockLocations in FileStatus objects
>
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Dongjoon Hyun edited comment on SPARK-25062 at 10/3/18 12:43 PM:
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Paul Praet commented on SPARK-21402:
Still there in Spark 2.3.1.
> Java encoders -
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Apache Spark reassigned SPARK-25602:
Assignee: Wenchen Fan (was: Apache Spark)
> range metrics can be wrong if the result row
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Apache Spark commented on SPARK-25602:
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User 'cloud-fan' has created a pull request
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Apache Spark reassigned SPARK-25602:
Assignee: Apache Spark (was: Wenchen Fan)
> range metrics can be wrong if the result row
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Apache Spark commented on SPARK-25602:
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User 'cloud-fan' has created a pull request
DB Tsai created SPARK-25603:
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Summary: `Projection` expression pushdown through `coalesce` and
`limit`
Key: SPARK-25603
URL: https://issues.apache.org/jira/browse/SPARK-25603
Project: Spark
Issue
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Dongjoon Hyun reassigned SPARK-25538:
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Assignee: Marco Gaido
> incorrect row counts after distinct()
> ---
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Dongjoon Hyun resolved SPARK-25538.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 22602
[https://
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Andrei Stankevich commented on SPARK-25062:
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Hi [~dongjoon], yes, it an improv
Xiao Li created SPARK-25604:
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Summary: Reduce the overall time costs in Jenkins tests
Key: SPARK-25604
URL: https://issues.apache.org/jira/browse/SPARK-25604
Project: Spark
Issue Type: Umbrella
Xiao Li created SPARK-25605:
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Summary: CastSuite: cast string to timestamp 2 mins 31 sec
Key: SPARK-25605
URL: https://issues.apache.org/jira/browse/SPARK-25605
Project: Spark
Issue Type: Sub-task
Xiao Li created SPARK-25606:
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Summary: DateExpressionsSuite: Hour 1 min
Key: SPARK-25606
URL: https://issues.apache.org/jira/browse/SPARK-25606
Project: Spark
Issue Type: Sub-task
Compone
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Thomas Graves commented on SPARK-25501:
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did you post SPIP to the dev list, I didn
Xiao Li created SPARK-25607:
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Summary: HashAggregationQueryWithControlledFallbackSuite: single
distinct column set 42 seconds
Key: SPARK-25607
URL: https://issues.apache.org/jira/browse/SPARK-25607
Project:
Xiao Li created SPARK-25608:
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Summary: HashAggregationQueryWithControlledFallbackSuite: multiple
distinct multiple columns sets 38 seconds
Key: SPARK-25608
URL: https://issues.apache.org/jira/browse/SPARK-25608
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Thomas Graves commented on SPARK-25501:
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the spip title has "Structured Streaming"
Xiao Li created SPARK-25609:
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Summary: DataFrameSuite: SPARK-6: splitExpressions should not
generate codes beyond 64KB 49 seconds
Key: SPARK-25609
URL: https://issues.apache.org/jira/browse/SPARK-25609
Xiao Li created SPARK-25610:
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Summary: DatasetCacheSuite: cache UDF result correctly 25 seconds
Key: SPARK-25610
URL: https://issues.apache.org/jira/browse/SPARK-25610
Project: Spark
Issue Type: Su
Xiao Li created SPARK-25611:
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Summary: CompressionCodecSuite: both table-level and session-level
compression are set 2 min 20 sec
Key: SPARK-25611
URL: https://issues.apache.org/jira/browse/SPARK-25611
Proj
Xiao Li created SPARK-25612:
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Summary: CompressionCodecSuite: table-level compression is not set
but session-level compressions 47 seconds
Key: SPARK-25612
URL: https://issues.apache.org/jira/browse/SPARK-25612
Xiao Li created SPARK-25613:
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Summary: HiveSparkSubmitSuite: dir 1 min 3 seconds
Key: SPARK-25613
URL: https://issues.apache.org/jira/browse/SPARK-25613
Project: Spark
Issue Type: Sub-task
Xiao Li created SPARK-25614:
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Summary: HiveSparkSubmitSuite: SPARK-18989: DESC TABLE should not
fail with format class not found 38 seconds
Key: SPARK-25614
URL: https://issues.apache.org/jira/browse/SPARK-25614
Xiao Li created SPARK-25615:
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Summary: KafkaSinkSuite: streaming - write to non-existing topic 1
min
Key: SPARK-25615
URL: https://issues.apache.org/jira/browse/SPARK-25615
Project: Spark
Issue Ty
Xiao Li created SPARK-25616:
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Summary: KafkaSinkSuite: generic - write big data with small
producer buffer 57 secs
Key: SPARK-25616
URL: https://issues.apache.org/jira/browse/SPARK-25616
Project: Spark
Xiao Li created SPARK-25617:
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Summary: KafkaContinuousSinkSuite: generic - write big data with
small producer buffer 56 secs
Key: SPARK-25617
URL: https://issues.apache.org/jira/browse/SPARK-25617
Project:
Xiao Li created SPARK-25618:
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Summary: KafkaContinuousSourceStressForDontFailOnDataLossSuite:
stress test for failOnDataLoss=false 1 min 1 sec
Key: SPARK-25618
URL: https://issues.apache.org/jira/browse/SPARK-25618
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https://issues.apache.org/jira/browse/SPARK-25501?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16637268#comment-16637268
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Gabor Somogyi commented on SPARK-25501:
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Yeah, it's posted on the dev list.
To an
Xiao Li created SPARK-25619:
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Summary: WithAggregationKinesisStreamSuite: split and merge shards
in a stream 2 min 15 sec
Key: SPARK-25619
URL: https://issues.apache.org/jira/browse/SPARK-25619
Project: Spa
Xiao Li created SPARK-25620:
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Summary: WithAggregationKinesisStreamSuite: failure recovery 1 min
36 seconds
Key: SPARK-25620
URL: https://issues.apache.org/jira/browse/SPARK-25620
Project: Spark
I
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Thomas Brugiere resolved SPARK-25582.
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Resolution: Later
> Error in Spark logs when using the org.apache.spark:spark-sql_2.11:2
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https://issues.apache.org/jira/browse/SPARK-25582?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thomas Brugiere reopened SPARK-25582:
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> Error in Spark logs when using the org.apache.spark:spark-sql_2.11:2.2.0 Java
> library
>
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https://issues.apache.org/jira/browse/SPARK-25620?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li updated SPARK-25620:
Description:
org.apache.spark.streaming.kinesis.WithAggregationKinesisStreamSuite.failure
recovery
Took
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https://issues.apache.org/jira/browse/SPARK-25619?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li updated SPARK-25619:
Description:
org.apache.spark.streaming.kinesis.WithAggregationKinesisStreamSuite.split and
merge shards
Xiao Li created SPARK-25621:
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Summary: BucketedReadWithHiveSupportSuite: read partitioning
bucketed tables having composite filters 45 sec
Key: SPARK-25621
URL: https://issues.apache.org/jira/browse/SPARK-25621
Xiao Li created SPARK-25622:
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Summary: BucketedReadWithHiveSupportSuite: read partitioning
bucketed tables with bucket pruning filters - 42 seconds
Key: SPARK-25622
URL: https://issues.apache.org/jira/browse/SPARK-25622
Xiao Li created SPARK-25623:
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Summary: LogisticRegressionSuite: multinomial logistic regression
with intercept with L1 regularization 1 min 10 sec
Key: SPARK-25623
URL: https://issues.apache.org/jira/browse/SPARK-25623
Xiao Li created SPARK-25624:
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Summary: LogisticRegressionSuite.multinomial logistic regression
with intercept with elasticnet regularization 56 seconds
Key: SPARK-25624
URL: https://issues.apache.org/jira/browse/SPARK-2
Xiao Li created SPARK-25625:
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Summary: LogisticRegressionSuite.binary logistic regression with
intercept with ElasticNet regularization - 33 sec
Key: SPARK-25625
URL: https://issues.apache.org/jira/browse/SPARK-25625
Xiao Li created SPARK-25626:
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Summary: HiveClientSuites: getPartitionsByFilter returns all
partitions when hive.metastore.try.direct.sql=false 46 sec
Key: SPARK-25626
URL: https://issues.apache.org/jira/browse/SPARK-256
Xiao Li created SPARK-25627:
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Summary: ContinuousStressSuite - 8 mins 13 sec
Key: SPARK-25627
URL: https://issues.apache.org/jira/browse/SPARK-25627
Project: Spark
Issue Type: Sub-task
Co
Xiao Li created SPARK-25628:
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Summary: DistributedSuite: recover from repeated node failures
during shuffle-reduce 40 seconds
Key: SPARK-25628
URL: https://issues.apache.org/jira/browse/SPARK-25628
Project:
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