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Sean Owen updated SPARK-19302:
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Issue Type: Improvement (was: Bug)
[~sarutak] please don't make a JIRA for this kind of thing.
>
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Sean Owen commented on SPARK-19307:
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[~yuriy_hupalo] we don't use patches. Please read
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Sean Owen commented on SPARK-19287:
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Whether it was an oversight doesn't really change things. Someone
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Hyukjin Kwon resolved SPARK-10842.
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Resolution: Duplicate
I am resolving this as a duplicate per the reporter's comment
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yuriy_hupalo commented on SPARK-19307:
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pull:
https://github.com/yuriyhupalo/spark/pull/1
>
Lucas Tittmann created SPARK-19310:
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Summary: PySpark Window over function changes behaviour regarding
Order-By
Key: SPARK-19310
URL: https://issues.apache.org/jira/browse/SPARK-19310
Project: Spark
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Nirman Narang commented on SPARK-19288:
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[~felixcheung] Version 2.0.1
> Failure (at
Gregor Moehler created SPARK-19311:
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Summary: UDFs disregard UDT type hierarchy
Key: SPARK-19311
URL: https://issues.apache.org/jira/browse/SPARK-19311
Project: Spark
Issue Type: Bug
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Gregor Moehler updated SPARK-19311:
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Description:
When you define UDTs based on hierarchical traits UDFs disregard the type
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Gregor Moehler updated SPARK-19311:
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Description:
When you define UDTs based on hierarchical traits UDFs disregard the type
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Sean Owen updated SPARK-19302:
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Assignee: Kousuke Saruta
> Fix the wrong item format in security.md
>
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Sean Owen resolved SPARK-19302.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 16653
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Gregor Moehler updated SPARK-19311:
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Description:
When you define UDTs based on hierarchical traits UDFs disregard the type
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Gregor Moehler updated SPARK-19311:
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Description:
When you define UDTs based on hierarchical traits UDFs disregard the type
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Gregor Moehler updated SPARK-19311:
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Description:
When you define UDTs based on hierarchical traits UDFs disregard the type
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Sean Owen updated SPARK-19302:
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Fix Version/s: (was: 3.0.0)
2.2.0
> Fix the wrong item format in security.md
>
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https://issues.apache.org/jira/browse/SPARK-18431?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-18431.
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Resolution: Won't Fix
> Hard coded value in org.apache.spark.streaming.kinesis.KinesisReceiver
>
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Yanbo Liang updated SPARK-19155:
Summary: ML GLR string params should support both uppercase and lowercase
(was: ML estimator
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Yanbo Liang updated SPARK-19155:
Description:
ML {{GeneralizedLinearRegression}} should support both uppercase and lowercase.
For
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Yanbo Liang updated SPARK-19155:
Summary: MLlib GeneralizedLinearRegression family and link should case
insensitive (was: ML GLR
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Yanbo Liang updated SPARK-19155:
Description:
ML {{GeneralizedLinearRegression}} only support lowercase input for {{family}}
and
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Apache Spark reassigned SPARK-19313:
Assignee: Apache Spark
> GaussianMixture throws cryptic error when number of features is
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Apache Spark reassigned SPARK-19313:
Assignee: (was: Apache Spark)
> GaussianMixture throws cryptic error when number of
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https://issues.apache.org/jira/browse/SPARK-18823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18823:
Assignee: (was: Apache Spark)
> Assignation by column name variable not available or
Tathagata Das created SPARK-19314:
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Summary: Do not allow sort before aggregation in Structured
Streaming plan
Key: SPARK-19314
URL: https://issues.apache.org/jira/browse/SPARK-19314
Project: Spark
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Apache Spark reassigned SPARK-19314:
Assignee: Tathagata Das (was: Apache Spark)
> Do not allow sort before aggregation in
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https://issues.apache.org/jira/browse/SPARK-18120?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18120:
Assignee: (was: Apache Spark)
> QueryExecutionListener method doesnt' get executed
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Apache Spark reassigned SPARK-18120:
Assignee: Apache Spark
> QueryExecutionListener method doesnt' get executed for
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Apache Spark commented on SPARK-18120:
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User 'salilsurendran' has created a pull request for this
Vinay varma created SPARK-19315:
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Summary: StructType should support nested lookup; throws
IllegalArgumentException
Key: SPARK-19315
URL: https://issues.apache.org/jira/browse/SPARK-19315
Project:
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https://issues.apache.org/jira/browse/SPARK-19313?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15832290#comment-15832290
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Apache Spark commented on SPARK-19313:
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User 'sethah' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-19314?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15832299#comment-15832299
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Apache Spark commented on SPARK-19314:
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User 'tdas' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-19314?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19314:
Assignee: Apache Spark (was: Tathagata Das)
> Do not allow sort before aggregation in
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https://issues.apache.org/jira/browse/SPARK-18823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15832324#comment-15832324
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Apache Spark commented on SPARK-18823:
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User 'felixcheung' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-18823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18823:
Assignee: Apache Spark
> Assignation by column name variable not available or bug?
>
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https://issues.apache.org/jira/browse/SPARK-17890?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15832620#comment-15832620
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Dave DeCaprio commented on SPARK-17890:
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I'm running into this also. Naively changing the above
Barry Becker created SPARK-19317:
Summary: UnsupportedOperationException: empty.reduceLeft in
LinearSeqOptimized
Key: SPARK-19317
URL: https://issues.apache.org/jira/browse/SPARK-19317
Project: Spark
Xiao Li created SPARK-19318:
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Summary: Docker test case failure: `SPARK-16625: General data
types to be mapped to Oracle`
Key: SPARK-19318
URL: https://issues.apache.org/jira/browse/SPARK-19318
Project:
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Herman van Hovell resolved SPARK-18589.
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Resolution: Fixed
> persist() resolves "java.lang.RuntimeException: Invalid
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Suresh Thalamati commented on SPARK-19318:
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I am looking into this test failure.
> Docker test
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Jonathan Alvarado commented on SPARK-12837:
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I am seeing this issue on EMR 5.2.0 with Spark
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https://issues.apache.org/jira/browse/SPARK-13478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-13478:
Assignee: Apache Spark (was: Marcelo Vanzin)
> Fetching delegation tokens for Hive fails
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Apache Spark commented on SPARK-13478:
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User 'vanzin' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-13478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-13478:
Assignee: Marcelo Vanzin (was: Apache Spark)
> Fetching delegation tokens for Hive fails
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Dave DeCaprio edited comment on SPARK-17890 at 1/20/17 11:46 PM:
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I'm
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Herman van Hovell updated SPARK-18589:
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Fix Version/s: 2.2.0
2.1.1
> persist() resolves
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https://issues.apache.org/jira/browse/SPARK-19300?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15832658#comment-15832658
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Shixiong Zhu commented on SPARK-19300:
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Could you provide the full thread dump? Looks like there is
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Xiao Li commented on SPARK-19289:
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Basically, you are creating a view for that dataframe. View name is
Yin Huai created SPARK-19321:
Summary: Support Hive 2.x's metastore
Key: SPARK-19321
URL: https://issues.apache.org/jira/browse/SPARK-19321
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-16101?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-16101.
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Resolution: Fixed
Assignee: Hyukjin Kwon
Fix Version/s: 2.2.0
> Refactoring CSV
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https://issues.apache.org/jira/browse/SPARK-14536?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li resolved SPARK-14536.
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Resolution: Fixed
Assignee: Suresh Thalamati
Fix Version/s: 2.2.0
> NPE in JDBCRDD when
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https://issues.apache.org/jira/browse/SPARK-18392?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15832404#comment-15832404
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Yun Ni edited comment on SPARK-18392 at 1/20/17 9:15 PM:
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Hi David,
Thanks for
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https://issues.apache.org/jira/browse/SPARK-19111?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15832458#comment-15832458
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Jisoo Kim commented on SPARK-19111:
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Thanks [~ste...@apache.org] for information, using S3a helped with
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Erik LaBianca edited comment on SPARK-18859 at 1/20/17 10:32 PM:
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Not
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Erik LaBianca edited comment on SPARK-18859 at 1/20/17 10:33 PM:
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Not
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Erik LaBianca edited comment on SPARK-18859 at 1/20/17 10:32 PM:
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Not
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Drew Robb commented on SPARK-16599:
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I encountered an identical exception when using a singleton spark
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Yun Ni commented on SPARK-18392:
Hi David,
Thanks for the question. I did not group the records by their
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Yun Ni commented on SPARK-18392:
Yes, comparing if the hash signature equals is faster than computing the
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Marcelo Vanzin updated SPARK-18750:
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Description:
When running Sql queries on large datasets. Job fails with stack overflow
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Tathagata Das resolved SPARK-19314.
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Resolution: Fixed
Fix Version/s: 3.0.0
2.0.3
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Yun Ni edited comment on SPARK-18392 at 1/20/17 10:29 PM:
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Yes, comparing if the
Jisoo Kim created SPARK-19316:
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Summary: Spark event logs are huge compared to 1.5.2
Key: SPARK-19316
URL: https://issues.apache.org/jira/browse/SPARK-19316
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-19296?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15831033#comment-15831033
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Paul Wu edited comment on SPARK-19296 at 1/20/17 9:52 PM:
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We found this Util is
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David S commented on SPARK-18392:
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Hi Yun and thanks for the answer, but my question now is, are there
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Jisoo Kim commented on SPARK-19111:
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Related to https://issues.apache.org/jira/browse/SPARK-19316.
>
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Jisoo Kim commented on SPARK-19316:
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Related to https://issues.apache.org/jira/browse/SPARK-19111
>
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Erik LaBianca commented on SPARK-18859:
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Not quite a repro, but here's explain output.
{noformat}
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Drew Robb updated SPARK-16599:
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Comment: was deleted
(was: I encountered an identical exception when using a singleton spark
session.
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Marcelo Vanzin commented on SPARK-18750:
Yay, I can reproduce it with a unit test against
Miao Wang created SPARK-19319:
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Summary: SparkR Kmeans summary returns error when the cluster size
doesn't equal to k
Key: SPARK-19319
URL: https://issues.apache.org/jira/browse/SPARK-19319
Project:
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https://issues.apache.org/jira/browse/SPARK-19319?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19319:
Assignee: Apache Spark
> SparkR Kmeans summary returns error when the cluster size
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Apache Spark commented on SPARK-19319:
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User 'wangmiao1981' has created a pull request for this
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Apache Spark reassigned SPARK-19319:
Assignee: (was: Apache Spark)
> SparkR Kmeans summary returns error when the cluster
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Apache Spark reassigned SPARK-18750:
Assignee: Apache Spark
> spark should be able to control the number of executor and
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Apache Spark commented on SPARK-18750:
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User 'vanzin' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-18750?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18750:
Assignee: (was: Apache Spark)
> spark should be able to control the number of
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https://issues.apache.org/jira/browse/SPARK-19316?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15832710#comment-15832710
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Jisoo Kim commented on SPARK-19316:
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I suspect this is due to "SparkListenrTaskEnd" event log having
Timothy Chen created SPARK-19320:
Summary: Allow guaranteed amount of GPU to be used when launching
jobs
Key: SPARK-19320
URL: https://issues.apache.org/jira/browse/SPARK-19320
Project: Spark
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Tathagata Das resolved SPARK-19267.
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Resolution: Fixed
Fix Version/s: 3.0.0
2.1.1
Issue resolved by
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Wenchen Fan resolved SPARK-19305.
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Resolution: Fixed
Issue resolved by pull request 16655
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Felix Cheung commented on SPARK-19288:
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hmm, that's odd. what system and R version?
I'm wondering if
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Felix Cheung reassigned SPARK-18788:
Assignee: Felix Cheung
> Add getNumPartitions() to SparkR
>
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Apache Spark reassigned SPARK-18788:
Assignee: (was: Apache Spark)
> Add getNumPartitions() to SparkR
>
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Apache Spark reassigned SPARK-18788:
Assignee: Apache Spark
> Add getNumPartitions() to SparkR
>
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Apache Spark commented on SPARK-18788:
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User 'felixcheung' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-19155?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-19155:
Description:
ML {{GeneralizedLinearRegression}} should support both uppercase and lowercase.
For
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Yanbo Liang reassigned SPARK-19155:
---
Assignee: Yanbo Liang
> MLlib GeneralizedLinearRegression family and link should case
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Liang-Chi Hsieh edited comment on SPARK-19311 at 1/20/17 3:06 PM:
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https://issues.apache.org/jira/browse/SPARK-19299?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15832006#comment-15832006
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Jason White commented on SPARK-19299:
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Also seeing this same behaviour in Spark 2.0.1 when creating a
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Liang-Chi Hsieh commented on SPARK-19311:
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[~Gregor Moehler] I think you already have the fixing.
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Apache Spark commented on SPARK-19311:
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User 'gmoehler' has created a pull request for this issue:
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Apache Spark reassigned SPARK-19311:
Assignee: (was: Apache Spark)
> UDFs disregard UDT type hierarchy
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https://issues.apache.org/jira/browse/SPARK-16683?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15831878#comment-15831878
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Andrew Ray commented on SPARK-16683:
I'm working on a solution for this
> Group by does not work
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Apache Spark reassigned SPARK-19311:
Assignee: Apache Spark
> UDFs disregard UDT type hierarchy
>
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https://issues.apache.org/jira/browse/SPARK-17602?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15831964#comment-15831964
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Junfeng commented on SPARK-17602:
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[~davies] the trouble really is the python worker share mode is not
Rivkin Andrey created SPARK-19312:
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Summary: Spark gives wrong error message when failes to create
file due to hdfs quota limit.
Key: SPARK-19312
URL: https://issues.apache.org/jira/browse/SPARK-19312
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https://issues.apache.org/jira/browse/SPARK-19307?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15831548#comment-15831548
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Sean Owen commented on SPARK-19307:
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CC [~zjffdu]
> SPARK-17387 caused ignorance of conf object passed
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Sean Owen resolved SPARK-19301.
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Resolution: Duplicate
> SparkContext is ignoring SparkConf when _jvm is not initialized on
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Sean Owen updated SPARK-8273:
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Assignee: Tao Wang
> Driver hangs up when yarn shutdown in client mode
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