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xubo245 commented on SPARK-22666:
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Did it finished? or TODO
> Spark reader source for image format
>
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dzcxzl updated SPARK-23230:
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Description:
When hive.default.fileformat is other kinds of file types, create textfile
table cause a serde
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dzcxzl updated SPARK-23230:
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Description:
When hive.default.fileformat is other kinds of file types, create textfile
table cause a serde
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dzcxzl updated SPARK-23230:
---
Description:
When hive.default.fileformat is other kinds of file types, create textfile
table cause a serde
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Marcelo Vanzin commented on SPARK-23386:
The umbrella you refer to is closed and only covered
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Apache Spark reassigned SPARK-23390:
Assignee: Apache Spark
> Flaky Test Suite: FileBasedDataSourceSuite in Spark 2.3/hadoop
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Apache Spark commented on SPARK-23390:
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User 'cloud-fan' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23390:
Assignee: (was: Apache Spark)
> Flaky Test Suite: FileBasedDataSourceSuite in Spark
xubo245 created SPARK-23393:
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Summary: Path is error when run test in local machine
Key: SPARK-23393
URL: https://issues.apache.org/jira/browse/SPARK-23393
Project: Spark
Issue Type: Bug
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xubo245 commented on SPARK-23392:
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Sorry, OK.[~hyukjin.kwon]
> Add some test case for images feature
>
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Apache Spark reassigned SPARK-23392:
Assignee: Apache Spark
> Add some test case for images feature
>
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Apache Spark reassigned SPARK-23392:
Assignee: (was: Apache Spark)
> Add some test case for images feature
>
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Apache Spark commented on SPARK-23392:
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User 'xubo245' has created a pull request for this issue:
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Hyukjin Kwon updated SPARK-23392:
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Fix Version/s: (was: 2.4.0)
> Add some test case for images feature
>
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Hyukjin Kwon updated SPARK-23392:
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Component/s: (was: MLlib)
ML
> Add some test case for images feature
>
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Hyukjin Kwon commented on SPARK-23392:
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Let's don't set the target version which is usually reserved
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Hyukjin Kwon updated SPARK-23392:
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Target Version/s: (was: 2.4.0)
> Add some test case for images feature
>
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liuxian updated SPARK-23391:
Priority: Minor (was: Major)
> It may lead to overflow for some integer multiplication
>
xubo245 created SPARK-23392:
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Summary: Add some test case for images feature
Key: SPARK-23392
URL: https://issues.apache.org/jira/browse/SPARK-23392
Project: Spark
Issue Type: Test
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Apache Spark commented on SPARK-23391:
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User '10110346' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23391:
Assignee: (was: Apache Spark)
> It may lead to overflow for some integer
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Apache Spark reassigned SPARK-23391:
Assignee: Apache Spark
> It may lead to overflow for some integer multiplication
>
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liuxian updated SPARK-23391:
Description:
In the {{getBlockData}},{{blockId.reduceId}} is the {{Int}} type, when it is
greater than
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liuxian updated SPARK-23391:
Description:
In the {{getBlockData}},{{blockId.reduceId}} is the {{Int}} type, when it is
greater than
liuxian created SPARK-23391:
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Summary: It may lead to overflow for some integer multiplication
Key: SPARK-23391
URL: https://issues.apache.org/jira/browse/SPARK-23391
Project: Spark
Issue Type:
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Harleen Singh Mann commented on SPARK-23370:
# Yes, querying the table would mean non-trivial
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Harleen Singh Mann commented on SPARK-23372:
Perhaps a dumb question: Why are you edition
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Wenchen Fan resolved SPARK-23376.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.2
Issue resolved by pull
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Sameer Agarwal edited comment on SPARK-23390 at 2/12/18 2:41 AM:
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I ran
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Sameer Agarwal commented on SPARK-23390:
I ran this test locally 50 times and it passed every
Sameer Agarwal created SPARK-23390:
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Summary: Flaky Test Suite: FileBasedDataSourceSuite in Spark
2.3/hadoop 2.7
Key: SPARK-23390
URL: https://issues.apache.org/jira/browse/SPARK-23390
Project:
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Apache Spark commented on SPARK-23358:
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User '10110346' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-23382?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16360209#comment-16360209
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guoxiaolongzte commented on SPARK-23382:
Before jira, modify the job page, stage page, task page,
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Apache Spark commented on SPARK-23389:
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User '10110346' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23389:
Assignee: Apache Spark
> When the shuffle dependency specifies aggregation ,and
>
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Apache Spark reassigned SPARK-23389:
Assignee: (was: Apache Spark)
> When the shuffle dependency specifies aggregation
liuxian created SPARK-23389:
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Summary: When the shuffle dependency specifies aggregation ,and
`dependency.mapSideCombine=false`, we should be able to use serialized sorting.
Key: SPARK-23389
URL:
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Dilip Biswal updated SPARK-23372:
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Description:
*Running*
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Apache Spark reassigned SPARK-23388:
Assignee: (was: Apache Spark)
> Support for Parquet Binary DecimalType in
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Apache Spark commented on SPARK-23388:
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User 'jamesthomp' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23388:
Assignee: Apache Spark
> Support for Parquet Binary DecimalType in VectorizedColumnReader
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Apache Spark commented on SPARK-23372:
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User 'dilipbiswal' has created a pull request for this
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Apache Spark reassigned SPARK-23372:
Assignee: Apache Spark
> Writing empty struct in parquet fails during execution. It
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Apache Spark reassigned SPARK-23372:
Assignee: (was: Apache Spark)
> Writing empty struct in parquet fails during
James Thompson created SPARK-23388:
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Summary: Support for Parquet Binary DecimalType in
VectorizedColumnReader
Key: SPARK-23388
URL: https://issues.apache.org/jira/browse/SPARK-23388
Project: Spark
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Apache Spark commented on SPARK-23318:
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User 'tashoyan' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23318:
Assignee: Apache Spark
> FP-growth: WARN FPGrowth: Input data is not cached
>
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Apache Spark reassigned SPARK-23318:
Assignee: (was: Apache Spark)
> FP-growth: WARN FPGrowth: Input data is not cached
>
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Sean Owen resolved SPARK-23371.
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Resolution: Not A Problem
> Parquet Footer data is wrong on window in parquet format partition table
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Sean Owen updated SPARK-23382:
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Affects Version/s: (was: 2.4.0)
2.3.0
I think I get what this is about but:
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Sean Owen commented on SPARK-23385:
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I'm not sure about this. See PR.
> Allow SparkUITab to be
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Sean Owen updated SPARK-23386:
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Priority: Minor (was: Major)
Seems related to [~vanzin]'s over-arching SHS improvements. Should it be
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Sean Owen updated SPARK-23384:
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Affects Version/s: (was: 2.4.0)
2.3.0
Yes, seems like a clean fix for a
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Sean Owen commented on SPARK-23370:
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I don't think that answers the question, which is probably one
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Sean Owen updated SPARK-23383:
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Description:
{code:java}
./dev/make-distribution.sh --name ne-1.0.0-SNAPSHOT xyz --tgz -Phadoop-2.7
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Sean Owen commented on SPARK-23381:
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I don't think that behavior is guaranteed anyway, but I can see
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Sean Owen updated SPARK-23381:
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Priority: Minor (was: Major)
Issue Type: Improvement (was: Bug)
> Murmur3 hash generates a
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Nayef F.R edited comment on SPARK-6772 at 2/11/18 1:33 PM:
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I have the same
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Nayef F.R edited comment on SPARK-6772 at 2/11/18 1:19 PM:
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I have the same
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Hyukjin Kwon resolved SPARK-23387.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 20577
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Nayef F.R commented on SPARK-6772:
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I have the same problem with Scala spark. Can I know if anyone solved
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Hyukjin Kwon reassigned SPARK-23387:
Assignee: Takuya Ueshin
> Backport assertPandasEqual to branch-2.3.
>
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Apache Spark reassigned SPARK-23387:
Assignee: Apache Spark
> Backport assertPandasEqual to branch-2.3.
>
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Apache Spark reassigned SPARK-23387:
Assignee: (was: Apache Spark)
> Backport assertPandasEqual to branch-2.3.
>
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Apache Spark commented on SPARK-23387:
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User 'ueshin' has created a pull request for this issue:
Takuya Ueshin created SPARK-23387:
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Summary: Backport assertPandasEqual to branch-2.3.
Key: SPARK-23387
URL: https://issues.apache.org/jira/browse/SPARK-23387
Project: Spark
Issue Type: Bug
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Hyukjin Kwon reassigned SPARK-22624:
Assignee: xubo245
> Expose range partitioning shuffle introduced by SPARK-22614
>
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Hyukjin Kwon resolved SPARK-22624.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 20456
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Hyukjin Kwon resolved SPARK-23084.
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Resolution: Fixed
Fix Version/s: 2.4.0
> Add unboundedPreceding(), unboundedFollowing()
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Hyukjin Kwon commented on SPARK-23084:
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Fixed in https://github.com/apache/spark/pull/20400
> Add
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Hyukjin Kwon reassigned SPARK-23084:
Assignee: Huaxin Gao
> Add unboundedPreceding(), unboundedFollowing() and currentRow() to
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Hyukjin Kwon updated SPARK-23314:
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Fix Version/s: (was: 2.3.1)
2.3.0
> Pandas grouped udf on dataset with
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Hyukjin Kwon resolved SPARK-23314.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 20537
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Hyukjin Kwon reassigned SPARK-23314:
Assignee: Li Jin
> Pandas grouped udf on dataset with timestamp column error
>
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Hyukjin Kwon updated SPARK-23314:
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Fix Version/s: (was: 2.3.0)
2.3.1
> Pandas grouped udf on dataset with
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