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https://issues.apache.org/jira/browse/SPARK-24707?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16528967#comment-16528967
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Apache Spark commented on SPARK-24707:
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User 'sidhavratha' has created a pull reque
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Apache Spark reassigned SPARK-24707:
Assignee: (was: Apache Spark)
> Enable spark-kafka-streaming to maintain min buffer u
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Apache Spark reassigned SPARK-24707:
Assignee: Apache Spark
> Enable spark-kafka-streaming to maintain min buffer using async
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Sidhavratha Kumar updated SPARK-24707:
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Component/s: (was: Structured Streaming)
DStreams
> Enable spark-
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Sidhavratha Kumar updated SPARK-24707:
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Description:
Currently Spark Kafka RDD will block on kafka consumer poll. Specially in
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Sidhavratha Kumar updated SPARK-24707:
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Attachment: 40_partition_topic_without_buffer.pdf
> Enable spark-kafka-streaming to ma
Sidhavratha Kumar created SPARK-24707:
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Summary: Enable spark-kafka-streaming to maintain min buffer using
async thread to avoid blocking kafka poll
Key: SPARK-24707
URL: https://issues.apache.org/jira/browse/
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https://issues.apache.org/jira/browse/SPARK-24470?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24470:
Assignee: (was: Apache Spark)
> RestSubmissionClient to be robust against 404 & non j
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Apache Spark commented on SPARK-24470:
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User 'rekhajoshm' has created a pull reques
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Apache Spark reassigned SPARK-24470:
Assignee: Apache Spark
> RestSubmissionClient to be robust against 404 & non json respons
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https://issues.apache.org/jira/browse/SPARK-24654?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-24654.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21640
[https://github.c
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Apache Spark commented on SPARK-24507:
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User 'rekhajoshm' has created a pull reques
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Apache Spark reassigned SPARK-24507:
Assignee: Apache Spark
> Description in "Level of Parallelism in Data Receiving" section
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Apache Spark reassigned SPARK-24507:
Assignee: (was: Apache Spark)
> Description in "Level of Parallelism in Data Receivin
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https://issues.apache.org/jira/browse/SPARK-17181?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16528919#comment-16528919
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Ron Kitay commented on SPARK-17181:
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[~tgraves] - This seems like a very old issue, ho
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Rekha Joshi updated SPARK-21443:
Description:
Creating a streaming query with large amount of operations and fields (100+)
results
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Yuming Wang commented on SPARK-24706:
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Benchmark result:
{noformat}
###
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Yuming Wang updated SPARK-24706:
Description: (was: Benchmark result:
{noformat}
###[ Pushdown benc
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Yuming Wang updated SPARK-24706:
Description:
Benchmark result:
{noformat}
###[ Pushdown benchmark for
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Apache Spark reassigned SPARK-24706:
Assignee: Apache Spark
> Support ByteType and ShortType pushdown to parquet
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Apache Spark reassigned SPARK-24706:
Assignee: (was: Apache Spark)
> Support ByteType and ShortType pushdown to parquet
>
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Apache Spark commented on SPARK-24706:
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User 'wangyum' has created a pull request f
Yuming Wang created SPARK-24706:
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Summary: Support ByteType and ShortType pushdown to parquet
Key: SPARK-24706
URL: https://issues.apache.org/jira/browse/SPARK-24706
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-24705?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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cheng updated SPARK-24705:
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Description:
[~smilegator]
When loading data using jdbc and enabling spark.sql.adaptive.enabled=true , for
ex
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cheng updated SPARK-24705:
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Description:
When loading data using jdbc and enabling spark.sql.adaptive.enabled=true ,
for example loadin
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cheng updated SPARK-24705:
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Description:
When loading data using jdbc and enabling spark.sql.adaptive.enabled=true ,
for example loadin
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cheng updated SPARK-24705:
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Description:
When loading data using jdbc and enabling spark.sql.adaptive.enabled=true ,
for example loadin
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cheng updated SPARK-24705:
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Attachment: Error stack.txt
> Spark.sql.adaptive.enabled=true is enabled and self-join query
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cheng updated SPARK-24705:
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Comment: was deleted
(was: For example, my query:
device_loc table comes from the jdbc data source
select tv_
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cheng updated SPARK-24705:
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Affects Version/s: 2.2.1
> Spark.sql.adaptive.enabled=true is enabled and self-join query
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cheng updated SPARK-24705:
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Description:
When loading data using jdbc and enabling spark.sql.adaptive.enabled=true ,
for example loadin
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cheng commented on SPARK-24705:
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For example, my query:
device_loc table comes from the jd
cheng created SPARK-24705:
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Summary: Spark.sql.adaptive.enabled=true is enabled and self-join
query
Key: SPARK-24705
URL: https://issues.apache.org/jira/browse/SPARK-24705
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-23725?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16528691#comment-16528691
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Maxim Gekk commented on SPARK-23725:
[~hyukjin.kwon] I am working on the implementat
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Hyukjin Kwon commented on SPARK-24530:
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[~vanzin] and [~jerryshao] FYI.
> Sphinx d
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Apache Spark reassigned SPARK-24704:
Assignee: Apache Spark
> The order of stages in the DAG graph is incorrect
>
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Apache Spark reassigned SPARK-24704:
Assignee: (was: Apache Spark)
> The order of stages in the DAG graph is incorrect
> -
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Apache Spark commented on SPARK-24704:
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User 'stanzhai' has created a pull request
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StanZhai updated SPARK-24704:
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Attachment: WX20180630-161907.png
> The order of stages in the DAG graph is incorrect
>
StanZhai created SPARK-24704:
Summary: The order of stages in the DAG graph is incorrect
Key: SPARK-24704
URL: https://issues.apache.org/jira/browse/SPARK-24704
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-23773?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-23773.
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Resolution: Won't Fix
Let me leave this resolved for now given the discussion in the PR but pl
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https://issues.apache.org/jira/browse/SPARK-24695?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24695:
Assignee: (was: Apache Spark)
> Unable to return calendar interval from udf
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Apache Spark reassigned SPARK-24695:
Assignee: Apache Spark
> Unable to return calendar interval from udf
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Apache Spark commented on SPARK-24695:
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User 'priyankagargnitk' has created a pull
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https://issues.apache.org/jira/browse/SPARK-24696?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li resolved SPARK-24696.
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Resolution: Fixed
Fix Version/s: 2.4.0
2.3.2
> ColumnPruning rule fails to rem
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