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Apache Spark commented on SPARK-22233:
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User 'jiangxb1987' has created a pull reques
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Apache Spark commented on SPARK-20396:
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User 'ueshin' has created a pull request for
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Sean Owen commented on SPARK-22272:
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OK fair enough, though I don't know if we'll have
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Sean Owen updated SPARK-22272:
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Affects Version/s: (was: 2.1.1)
2.1.2
> killing task may cause the executor
Ben created SPARK-22284:
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Summary: Code of class
\"org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection\"
grows beyond 64 KB
Key: SPARK-22284
URL: https://issues.apache.org/jira/browse/SPARK-22
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Ben updated SPARK-22284:
Description:
I am using pySpark 2.1.0 in a production environment, and trying to join two
DataFrames, one of which
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Ben updated SPARK-22284:
Description:
I am using pySpark 2.1.0 in a production environment, and trying to join two
DataFrames, one of which
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Ben updated SPARK-22284:
Component/s: SQL
> Code of class
> \"org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjec
Zhenhua Wang created SPARK-22285:
Summary: Change implementation of ApproxCountDistinctForIntervals
to TypedImperativeAggregate
Key: SPARK-22285
URL: https://issues.apache.org/jira/browse/SPARK-22285
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Zhenhua Wang updated SPARK-22285:
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Description:
The current implementation of `ApproxCountDistinctForIntervals` is
`ImperativeAggre
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Apache Spark reassigned SPARK-22285:
Assignee: Apache Spark
> Change implementation of ApproxCountDistinctForIntervals to
> Ty
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Apache Spark reassigned SPARK-22285:
Assignee: (was: Apache Spark)
> Change implementation of ApproxCountDistinctForInterva
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Apache Spark commented on SPARK-22285:
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User 'wzhfy' has created a pull request for
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Sean Owen commented on SPARK-22284:
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Without more details, this could be a duplicate of
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Ben commented on SPARK-22284:
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If I upgrade to 2.2.0 then I, for myself at least, would not n
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Ben edited comment on SPARK-22284 at 10/16/17 9:10 AM:
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If I upgrad
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Sean Owen commented on SPARK-22284:
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What you've described is a symptom with many cause
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Ben updated SPARK-22284:
Description:
I am using pySpark 2.1.0 in a production environment, and trying to join two
DataFrames, one of which
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https://issues.apache.org/jira/browse/SPARK-22284?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16205608#comment-16205608
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Ben commented on SPARK-22284:
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I did try adding
{code:java}
--conf "spark.sql.codegen.wholeS
Lijie Xu created SPARK-22286:
Summary: OutOfMemoryError caused by memory leak and large
serializer batch size in ExternalAppendOnlyMap
Key: SPARK-22286
URL: https://issues.apache.org/jira/browse/SPARK-22286
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Lijie Xu updated SPARK-22286:
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Description:
*[Abstract]*
I recently encountered an OOM error in a simple _groupByKey_ application. Afte
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Lijie Xu updated SPARK-22286:
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Description:
*[Abstract]*
I recently encountered an OOM error in a simple _groupByKey_ application. Aft
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Lijie Xu updated SPARK-22286:
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Description:
*[Abstract]*
I recently encountered an OOM error in a simple _groupByKey_ application. Aft
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Lijie Xu updated SPARK-22286:
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Description:
*[Abstract]*
I recently encountered an OOM error in a simple _groupByKey_ application. Aft
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Fernando Pereira updated SPARK-22276:
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Description:
When a dataframe is sorted it is partitioned with a RangePartitioner.
If lat
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Fernando Pereira commented on SPARK-22276:
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I added a simple example that shows
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Patrick Duin commented on SPARK-22247:
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Spark 2.3.0 hasn't been released so I am str
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Patrick Duin resolved SPARK-22247.
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Resolution: Duplicate
Fix Version/s: 2.3.0
> Hive partition filter very slow
> -
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Fernando Pereira commented on SPARK-22276:
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I made some more tests and this beha
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Fernando Pereira edited comment on SPARK-22276 at 10/16/17 12:07 PM:
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Apache Spark commented on SPARK-20783:
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User 'viirya' has created a pull request for
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https://issues.apache.org/jira/browse/SPARK-8515?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16206111#comment-16206111
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Timothy Hunter commented on SPARK-8515:
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Before we commit to an implementation, we s
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paul mackles updated SPARK-22287:
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Summary: SPARK_DAEMON_MEMORY not honored by MesosClusterDispatcher (was:
[MESOS] SPARK_DAEMON_ME
paul mackles created SPARK-22287:
Summary: [MESOS] SPARK_DAEMON_MEMORY not honored by
MesosClusterDispatcher
Key: SPARK-22287
URL: https://issues.apache.org/jira/browse/SPARK-22287
Project: Spark
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Jeremy Smith commented on SPARK-22231:
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[~viirya] - It is confusing that the lambda
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Xiao Li resolved SPARK-22282.
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Resolution: Fixed
Assignee: Dongjoon Hyun
Fix Version/s: 2.3.0
> Rename OrcRelation to Or
Ryan Williams created SPARK-22288:
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Summary: Tricky interaction between closure-serialization and
inheritance results in confusing failure
Key: SPARK-22288
URL: https://issues.apache.org/jira/browse/SPARK-22288
Nic Eggert created SPARK-22289:
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Summary: Cannot save LogisticRegressionClassificationModel with
bounds on coefficients
Key: SPARK-22289
URL: https://issues.apache.org/jira/browse/SPARK-22289
Project: Sp
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Liang-Chi Hsieh commented on SPARK-22276:
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I think this issue is already resolved
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Xiao Li resolved SPARK-22280.
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Resolution: Fixed
Assignee: Dongjoon Hyun
Fix Version/s: 2.3.0
> Improve StatisticsSuite
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Liang-Chi Hsieh commented on SPARK-8515:
I'm not sure if SPARK-2008 is related to
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Liang-Chi Hsieh edited comment on SPARK-8515 at 10/16/17 11:28 PM:
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Marcelo Vanzin created SPARK-22290:
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Summary: Starting second context in same JVM fails to get new Hive
delegation token
Key: SPARK-22290
URL: https://issues.apache.org/jira/browse/SPARK-22290
Projec
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Marcelo Vanzin resolved SPARK-18627.
Resolution: Cannot Reproduce
This seems to be working with 2.3.
> Cannot connect to Hive m
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Apache Spark commented on SPARK-22290:
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User 'vanzin' has created a pull request for
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Apache Spark reassigned SPARK-22290:
Assignee: Apache Spark
> Starting second context in same JVM fails to get new Hive delegat
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Apache Spark reassigned SPARK-22290:
Assignee: (was: Apache Spark)
> Starting second context in same JVM fails to get new H
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Lijie Xu updated SPARK-22286:
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Description:
*[Abstract]*
I recently encountered an OOM error in a simple _groupByKey_ application. Aft
Fabio J. Walter created SPARK-22291:
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Summary: Postgresql UUID[] to Cassandra: Conversion Error
Key: SPARK-22291
URL: https://issues.apache.org/jira/browse/SPARK-22291
Project: Spark
Issue
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Fabio J. Walter updated SPARK-22291:
Attachment: org_apache_spark_sql_execution_datasources_jdbc_JdbcUtil.png
> Postgresql UUID[
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Jen-Ming Chung commented on SPARK-22283:
Hi [~kitbellew],
I found the `withColumn
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Jen-Ming Chung edited comment on SPARK-22283 at 10/17/17 4:45 AM:
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Hyukjin Kwon commented on SPARK-22284:
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[~someonehere15], would you maybe able to pr
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Hyukjin Kwon resolved SPARK-22276.
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Resolution: Duplicate
> Unnecessary repartitioning
> --
>
>
windkithk created SPARK-22292:
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Summary: Add spark.mem.max to limit the amount of memory received
from Mesos
Key: SPARK-22292
URL: https://issues.apache.org/jira/browse/SPARK-22292
Project: Spark
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windkithk updated SPARK-22292:
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Issue Type: Improvement (was: Bug)
> Add spark.mem.max to limit the amount of memory received from Mes
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Dongjoon Hyun updated SPARK-22267:
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Description:
For a long time, Apache Spark SQL returns incorrect results when ORC file
schema
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Dongjoon Hyun updated SPARK-22267:
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Description:
For a long time, Apache Spark SQL returns incorrect results when ORC file
schema
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Apache Spark commented on SPARK-22292:
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User 'windkit' has created a pull request fo
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Apache Spark reassigned SPARK-22292:
Assignee: (was: Apache Spark)
> Add spark.mem.max to limit the amount of memory receiv
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Apache Spark reassigned SPARK-22292:
Assignee: Apache Spark
> Add spark.mem.max to limit the amount of memory received from Mes
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yuhao yang commented on SPARK-22289:
Thanks for reporting the issue. Should be a stra
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yuhao yang edited comment on SPARK-22289 at 10/17/17 6:28 AM:
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yuhao yang edited comment on SPARK-22289 at 10/17/17 6:43 AM:
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Xianyang Liu created SPARK-22293:
Summary: Avoid unnecessary traversal in ResolveReferences
Key: SPARK-22293
URL: https://issues.apache.org/jira/browse/SPARK-22293
Project: Spark
Issue Type:
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Apache Spark reassigned SPARK-22293:
Assignee: Apache Spark
> Avoid unnecessary traversal in ResolveReferences
> --
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Apache Spark commented on SPARK-22293:
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User 'ConeyLiu' has created a pull request f
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Apache Spark reassigned SPARK-22293:
Assignee: (was: Apache Spark)
> Avoid unnecessary traversal in ResolveReferences
> ---
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