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https://issues.apache.org/jira/browse/SPARK-32376?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mukul Murthy updated SPARK-32376:
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Attachment: tests.scala
> Make unionByName null-filling behavior work with struct columns
>
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https://issues.apache.org/jira/browse/SPARK-32376?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17179450#comment-17179450
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Mukul Murthy commented on SPARK-32376:
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I'm sorry, I only saw the mail for this now. Attaching the
Mukul Murthy created SPARK-32376:
Summary: Make unionByName null-filling behavior work with struct
columns
Key: SPARK-32376
URL: https://issues.apache.org/jira/browse/SPARK-32376
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-31324?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17073289#comment-17073289
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Mukul Murthy commented on SPARK-31324:
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Gotcha, thanks. Was not planning on backporting this, but I
Mukul Murthy created SPARK-31324:
Summary: StreamingQuery stop() timeout exception should include
the stream ID
Key: SPARK-31324
URL: https://issues.apache.org/jira/browse/SPARK-31324
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-29358?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16948800#comment-16948800
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Mukul Murthy commented on SPARK-29358:
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That would be a start to make us not have to do #1, but #2
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https://issues.apache.org/jira/browse/SPARK-29358?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16947982#comment-16947982
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Mukul Murthy commented on SPARK-29358:
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[~hyukjin.kwon], I disagree that the workaround is pretty
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https://issues.apache.org/jira/browse/SPARK-29358?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16946069#comment-16946069
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Mukul Murthy commented on SPARK-29358:
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I agree that it should not change the current behavior of
Mukul Murthy created SPARK-29358:
Summary: Make unionByName optionally fill missing columns with
nulls
Key: SPARK-29358
URL: https://issues.apache.org/jira/browse/SPARK-29358
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-26046?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mukul Murthy updated SPARK-26046:
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Description: StreamingQueryManager should have a way to clear out all
listeners. There's
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https://issues.apache.org/jira/browse/SPARK-26046?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mukul Murthy reopened SPARK-26046:
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>From some other discussions I've had, I actually think it's a reasonable to
>have a way to
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https://issues.apache.org/jira/browse/SPARK-28043?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mukul Murthy updated SPARK-28043:
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Description:
When reading a JSON blob with duplicate fields, Spark appears to ignore the
value
Mukul Murthy created SPARK-28043:
Summary: Reading json with duplicate columns drops the first
column value
Key: SPARK-28043
URL: https://issues.apache.org/jira/browse/SPARK-28043
Project: Spark
Mukul Murthy created SPARK-26586:
Summary: Streaming queries should have isolated SparkSessions and
confs
Key: SPARK-26586
URL: https://issues.apache.org/jira/browse/SPARK-26586
Project: Spark
Mukul Murthy created SPARK-26046:
Summary: Add a way for StreamingQueryManager to remove all
listeners
Key: SPARK-26046
URL: https://issues.apache.org/jira/browse/SPARK-26046
Project: Spark
Mukul Murthy created SPARK-25449:
Summary: Don't send zero accumulators in heartbeats
Key: SPARK-25449
URL: https://issues.apache.org/jira/browse/SPARK-25449
Project: Spark
Issue Type: Task
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https://issues.apache.org/jira/browse/SPARK-25399?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mukul Murthy updated SPARK-25399:
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Priority: Major (was: Blocker)
> Reusing execution threads from continuous processing for
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https://issues.apache.org/jira/browse/SPARK-25399?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16609819#comment-16609819
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Mukul Murthy commented on SPARK-25399:
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cc [~joseph.torres] and [~tdas]
> Reusing execution
Mukul Murthy created SPARK-25399:
Summary: Reusing execution threads from continuous processing for
microbatch streaming can result in correctness issues
Key: SPARK-25399
URL:
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https://issues.apache.org/jira/browse/SPARK-25182?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mukul Murthy resolved SPARK-25182.
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Resolution: Duplicate
Target Version/s: (was: 2.4.0)
> Block Manager master and
Mukul Murthy created SPARK-25182:
Summary: Block Manager master and slave thread pools are unbounded
Key: SPARK-25182
URL: https://issues.apache.org/jira/browse/SPARK-25182
Project: Spark
Mukul Murthy created SPARK-25181:
Summary: Block Manager master and slave thread pools are unbounded
Key: SPARK-25181
URL: https://issues.apache.org/jira/browse/SPARK-25181
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-24438?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16533977#comment-16533977
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Mukul Murthy commented on SPARK-24438:
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Are null and empty string both invalid partition values? I
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https://issues.apache.org/jira/browse/SPARK-24662?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16526848#comment-16526848
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Mukul Murthy commented on SPARK-24662:
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Calling .limit(n) on a DataFrame (or in SQL, SELECT ...
Mukul Murthy created SPARK-24662:
Summary: Structured Streaming should support LIMIT
Key: SPARK-24662
URL: https://issues.apache.org/jira/browse/SPARK-24662
Project: Spark
Issue Type: New
Mukul Murthy created SPARK-24525:
Summary: Provide an option to limit MemorySink memory usage
Key: SPARK-24525
URL: https://issues.apache.org/jira/browse/SPARK-24525
Project: Spark
Issue
Mukul Murthy created SPARK-24438:
Summary: Empty strings and null strings are written to the same
partition
Key: SPARK-24438
URL: https://issues.apache.org/jira/browse/SPARK-24438
Project: Spark
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