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Hyukjin Kwon resolved SPARK-26807.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 23933
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Hyukjin Kwon reassigned SPARK-26807:
Assignee: Sean Owen
> Confusing documentation regarding installation from PyPi
>
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Prabhu Joseph edited comment on SPARK-26867 at 3/2/19 3:52 AM:
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[~srowen]
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Prabhu Joseph commented on SPARK-26867:
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Spark can allow users to configure the Placement
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Wenchen Fan reassigned SPARK-26982:
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Assignee: Dilip Biswal
> Enhance describe framework to describe the output of a query
>
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Wenchen Fan resolved SPARK-26982.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 23883
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Sean Owen resolved SPARK-26492.
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Resolution: Won't Fix
That's no extra info, and not a valid reason to reopen this.
> support
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Martin Loncaric commented on SPARK-26555:
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I can also replicate with different schemas
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Sean Owen closed SPARK-26492.
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> support streaming DecisionTreeRegressor
> ---
>
>
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sky54521 commented on SPARK-26492:
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If can not be implemented, then the spark streaming is weak
>
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sky54521 edited comment on SPARK-26492 at 3/2/19 1:54 AM:
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Concrete implement
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sky54521 reopened SPARK-26492:
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Concrete implement way I don't know, but I think that can be implement
> support streaming
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Martin Loncaric edited comment on SPARK-26555 at 3/2/19 1:25 AM:
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I was
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Martin Loncaric commented on SPARK-26555:
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I was able to replicate with both all rows as
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William Wong commented on SPARK-24130:
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https://github.com/apache/spark/pull/22547
It seems that
Sean Owen created SPARK-27029:
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Summary: Update Thrift to 0.12.0
Key: SPARK-27029
URL: https://issues.apache.org/jira/browse/SPARK-27029
Project: Spark
Issue Type: Task
Components:
alokchowdary created SPARK-27028:
Summary: PySpark read .dat file. Multiline issue
Key: SPARK-27028
URL: https://issues.apache.org/jira/browse/SPARK-27028
Project: Spark
Issue Type: Question
Hien Luu created SPARK-27027:
Summary: from_avro function does not deserialize the Avro record
of a struct column type correctly
Key: SPARK-27027
URL: https://issues.apache.org/jira/browse/SPARK-27027
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Sean Owen reassigned SPARK-26977:
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Assignee: Manu Zhang
> Warn against subclassing scala.App doesn't work
>
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Sean Owen resolved SPARK-26977.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 23903
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Sean Owen resolved SPARK-26387.
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Resolution: Not A Problem
It shouldn't have any effect. But, you might get different results on
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Sean Owen resolved SPARK-26458.
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Resolution: Not A Problem
I don't quite get this; it already accounts for handleInvalid and
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Sean Owen resolved SPARK-26395.
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Resolution: Duplicate
If this isn't resolved for you 2.3.3 we can reopen, but the duplicate
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Sean Owen resolved SPARK-26404.
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Resolution: Not A Problem
> set spark.pyspark.python or PYSPARK_PYTHON doesn't work in k8s
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Sean Owen resolved SPARK-26407.
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Resolution: Not A Problem
I don't think it's reasonable to add arbitrary other dirs under this
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Sean Owen commented on SPARK-26425:
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[~kabhwan] I think you're welcome to work on this.
> Add more
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Sean Owen resolved SPARK-26408.
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Resolution: Not A Problem
> java.util.NoSuchElementException: None.get at
>
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Sean Owen resolved SPARK-26492.
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Resolution: Won't Fix
I'm not even sure that can be implemented in a one-pass algorithm? You'd have
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Sean Owen commented on SPARK-26494:
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Correct me if I'm wrong, but does a timestamp without local time
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Sean Owen commented on SPARK-26505:
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Go ahead with a PR
> Catalog class Function is missing
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Sean Owen resolved SPARK-26506.
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Resolution: Cannot Reproduce
There's not enough info here. What's the error? these work in general
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Sean Owen resolved SPARK-26512.
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Resolution: Cannot Reproduce
> Spark 2.4.0 is not working with Hadoop 2.8.3 in windows 10
>
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Sean Owen commented on SPARK-26518:
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It looks easy to handle the case where applicationInfo() isn't
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Martin Loncaric commented on SPARK-26555:
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Will try it out and report back
> Thread safety
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Sean Owen resolved SPARK-26523.
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Resolution: Not A Problem
This would have to have more info or be narrowed down more to make this
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Sean Owen commented on SPARK-26555:
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Hm, I might have that backwards; might be when all are not None?
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Thomas Graves commented on SPARK-27024:
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This and SPARK-27005 basically split the design of the
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Gabor Somogyi edited comment on SPARK-26727 at 3/1/19 10:21 PM:
I've
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Gabor Somogyi commented on SPARK-26727:
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I've seen this issue lately when I was dealing with a
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Sean Owen commented on SPARK-26555:
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This doesn't look like a Spark bug. It comes up, I think, when
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Sean Owen updated SPARK-26589:
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Priority: Minor (was: Major)
Would you like to implement it? It's kind of DIY here. It's not crazy
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Sean Owen updated SPARK-26534:
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Priority: Minor (was: Major)
Yes, the closure cleaner has never been able to be 100% sure it gets
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Sean Owen resolved SPARK-26568.
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Resolution: Not A Problem
I don't think this is actionable; you're generally saying that the Hive
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Sean Owen commented on SPARK-26570:
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How big can these be? are you saying they're large, or that they
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Gabor Somogyi commented on SPARK-26998:
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How is this different from
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Sean Owen resolved SPARK-26587.
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Resolution: Duplicate
> Deadlock between SparkUI thread and Driver thread
>
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Sean Owen resolved SPARK-26602.
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Resolution: Duplicate
> Once creating and quering udf with incorrect path,followed by querying
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Jungtaek Lim edited comment on SPARK-26991 at 3/1/19 9:53 PM:
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The outcome
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Sean Owen updated SPARK-26770:
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Priority: Minor (was: Major)
Issue Type: Improvement (was: Bug)
I'm not sure; it's a user
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Sean Owen resolved SPARK-26623.
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Resolution: Won't Fix
Yeah, I've never heard of this type of function. The use cases I can think of
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Jungtaek Lim commented on SPARK-26991:
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The outcome would be
* "invalid" if there's reasonable
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Sean Owen resolved SPARK-26624.
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Resolution: Duplicate
> Different classloader use on subsequent call to same query, causing
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Sean Owen resolved SPARK-26693.
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Resolution: Cannot Reproduce
Assuming the zeppelin interpretation is correct for now
> Large
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Sean Owen resolved SPARK-26701.
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Resolution: Duplicate
> spark thrift server driver memory leak
>
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Sean Owen updated SPARK-26736:
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Priority: Minor (was: Major)
> if filter condition has rand() function it does not do partition
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Sean Owen resolved SPARK-26791.
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Resolution: Not A Problem
I read the docs and am not clear what the issue is. The scala code is
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Sean Owen commented on SPARK-26883:
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My guess: something goes wrong when a partition has 0 of the
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Apache Spark reassigned SPARK-26807:
Assignee: Apache Spark
> Confusing documentation regarding installation from PyPi
>
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Apache Spark reassigned SPARK-26807:
Assignee: (was: Apache Spark)
> Confusing documentation regarding installation from
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Sean Owen updated SPARK-26807:
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Priority: Trivial (was: Minor)
I'll just fix it, to expedite.
> Confusing documentation regarding
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Sean Owen resolved SPARK-26815.
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Resolution: Cannot Reproduce
> run command "Spark-shell --proxy-user " failed in kerberos
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Sean Owen resolved SPARK-26828.
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Resolution: Cannot Reproduce
Not enough info here.
> Coalesce to reduce partitions before writing
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Sean Owen resolved SPARK-26943.
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Resolution: Cannot Reproduce
I don't think this is a bug, or at least, I can think of other reasons
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Sean Owen resolved SPARK-26829.
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Resolution: Won't Fix
> In place standard scaler so the column remains same after transformation
>
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Sean Owen commented on SPARK-26863:
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Sure but is it really a comment about the default, or limits on
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Sean Owen commented on SPARK-26867:
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How would Spark use it?
> Spark Support of YARN Placement
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Sean Owen resolved SPARK-26876.
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Resolution: Duplicate
Thought not the exact same issue, this is basically the same question, and
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Sean Owen updated SPARK-26885:
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Priority: Minor (was: Major)
Issue Type: Improvement (was: Bug)
> Remove /-[d]d
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Sean Owen commented on SPARK-26896:
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Reproducing my comments from elsewhere: I don't think we want to
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Sean Owen resolved SPARK-26899.
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Resolution: Not A Problem
This isn't "Major", and I don't think it's a doc problem in a comment,
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Sean Owen commented on SPARK-26906:
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I can't reproduce this on 2.4.0. It shows "2x replicated". What
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Sean Owen commented on SPARK-26944:
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I can see things like
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Alexis Sarda-Espinosa commented on SPARK-26980:
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Kryo works fine if used directly
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Apache Spark reassigned SPARK-27026:
Assignee: (was: Apache Spark)
> Upgrade Docker image for release build to Ubuntu
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Sean Owen resolved SPARK-26984.
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Resolution: Not A Problem
I agree, I don't think "Some(null)" is reasonable. You mean None, right?
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Sean Owen commented on SPARK-26947:
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How big is k? yes, you're going to run out of memory eventually
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Sean Owen resolved SPARK-26951.
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Resolution: Not A Problem
Agree, I don't see a reason to retry in this case
> Should not throw
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Sean Owen updated SPARK-26970:
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Priority: Minor (was: Major)
Issue Type: Improvement (was: Bug)
> Can't load PipelineModel
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Sean Owen resolved SPARK-26972.
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Resolution: Not A Problem
The option is "multiLine"
> Issue with CSV import and inferSchema set to
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Apache Spark reassigned SPARK-27026:
Assignee: Apache Spark
> Upgrade Docker image for release build to Ubuntu 18.04
>
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Sean Owen commented on SPARK-26980:
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This sounds like a Kryo usage question.
It could have something
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Sean Owen updated SPARK-26982:
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Priority: Minor (was: Major)
> Enhance describe framework to describe the output of a query
>
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Sean Owen updated SPARK-26983:
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Target Version/s: (was: 2.3.2)
Priority: Minor (was: Major)
Fix Version/s:
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Sean Owen resolved SPARK-26985.
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Resolution: Not A Problem
Same as SPARK-26940; until it's reproducible on a standard JDK, I don't
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Sean Owen commented on SPARK-26991:
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I'm not sure what the outcome would be here; let's open JIRAs for
DB Tsai created SPARK-27026:
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Summary: Upgrade Docker image for release build to Ubuntu 18.04
Key: SPARK-27026
URL: https://issues.apache.org/jira/browse/SPARK-27026
Project: Spark
Issue Type:
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Sean Owen updated SPARK-27011:
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Priority: Minor (was: Critical)
> reset command fails after cache table
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https://issues.apache.org/jira/browse/SPARK-27024?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16782060#comment-16782060
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Sean Owen commented on SPARK-27024:
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Is this different from SPARK-27005?
> Design executor interface
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https://issues.apache.org/jira/browse/SPARK-27015?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16782059#comment-16782059
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Sean Owen commented on SPARK-27015:
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Sure, open a PR to escape the args as needed.
> spark-submit
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https://issues.apache.org/jira/browse/SPARK-27014?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-27014:
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Priority: Minor (was: Major)
> Support removal of jars and Spark binaries from Mesos driver and
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https://issues.apache.org/jira/browse/SPARK-27025?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16782051#comment-16782051
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Sean Owen commented on SPARK-27025:
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If you fetched it all at once proactively, you have another
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https://issues.apache.org/jira/browse/SPARK-26326?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-26326:
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Priority: Minor (was: Major)
Yeah, this means you have a model with about 265M parameters, and when
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https://issues.apache.org/jira/browse/SPARK-26357?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16782046#comment-16782046
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Reza Safi commented on SPARK-26357:
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I think the primary usecase is for those users who are depending
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https://issues.apache.org/jira/browse/SPARK-26373?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-26373:
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Priority: Minor (was: Major)
> Spark UI 'environment' tab - column to indicate default vs overridden
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https://issues.apache.org/jira/browse/SPARK-26347?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-26347.
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Resolution: Won't Fix
> MergeAggregate serialize and deserialize funcition can use ByteBuffer to
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https://issues.apache.org/jira/browse/SPARK-26357?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16782039#comment-16782039
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Sean Owen commented on SPARK-26357:
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What is the use case for this?
> Expose executors' procfs
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https://issues.apache.org/jira/browse/SPARK-26358?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-26358.
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Resolution: Invalid
There isn't enough detail here. It can be reopened if you can, ideally, provide
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https://issues.apache.org/jira/browse/SPARK-26997?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Marcelo Vanzin resolved SPARK-26997.
Resolution: Fixed
Target Version/s: 3.0.0
I reverted the client upgrade and
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https://issues.apache.org/jira/browse/SPARK-26048?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-26048:
Assignee: (was: Apache Spark)
> Flume connector for Spark 2.4 does not exist in
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https://issues.apache.org/jira/browse/SPARK-26048?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-26048:
Assignee: Apache Spark
> Flume connector for Spark 2.4 does not exist in Maven
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