Josh Rosen created SPARK-20863:
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Summary: Add metrics/instrumentation to LiveListenerBus
Key: SPARK-20863
URL: https://issues.apache.org/jira/browse/SPARK-20863
Project: Spark
Issue Type: New
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Josh Rosen edited comment on SPARK-20178 at 5/22/17 8:54 PM:
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Sure, let me
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Josh Rosen commented on SPARK-20178:
Sure, let me clarify:
When a FetchFailure occurs, the
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Josh Rosen updated SPARK-20178:
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Comment: was deleted
(was: Sure, let me clarify:
* When a FetchFailure occurs, the DAGScheduler
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Josh Rosen commented on SPARK-20178:
Sure, let me clarify:
* When a FetchFailure occurs, the
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Josh Rosen commented on SPARK-20840:
[~hyukjin.kwon], I'm not sure. One thing that I would consider
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Josh Rosen updated SPARK-20845:
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Priority: Minor (was: Major)
> Support specification of column names in INSERT INTO
>
Josh Rosen created SPARK-20845:
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Summary: Support specification of column names in INSERT INTO
Key: SPARK-20845
URL: https://issues.apache.org/jira/browse/SPARK-20845
Project: Spark
Issue Type:
Josh Rosen created SPARK-20841:
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Summary: Support table column aliases in FROM clause
Key: SPARK-20841
URL: https://issues.apache.org/jira/browse/SPARK-20841
Project: Spark
Issue Type:
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Josh Rosen commented on SPARK-20178:
Looking over a few of the tickets linked to this fetch failure
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Josh Rosen updated SPARK-20832:
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Description:
In SPARK-17370 (a patch authored by [~ekhliang] and reviewed by me), we added
logic to
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Josh Rosen updated SPARK-20832:
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Component/s: Deploy
> Standalone master should explicitly inform drivers of worker deaths and
>
Josh Rosen created SPARK-20832:
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Summary: Standalone master should explicitly inform drivers of
worker deaths and invalidate external shuffle service outputs
Key: SPARK-20832
URL:
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Josh Rosen commented on SPARK-18838:
[~bOOmX], do you have CPU-time profiling within each of those
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Josh Rosen resolved SPARK-14584.
Resolution: Fixed
Fix Version/s: 2.2.0
> Improve recognition of non-nullability in Dataset
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Josh Rosen commented on SPARK-14584:
[~maropu], yep, I think we can close it. I'll mark as fixed by
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Josh Rosen resolved SPARK-19555.
Resolution: Fixed
Fix Version/s: 2.1.1
2.2.0
Fixed by SPARK-17647 in
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Josh Rosen commented on SPARK-18838:
I think that SPARK-20776 /
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Josh Rosen updated SPARK-20776:
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Attachment: (was: screenshot-1.png)
> Fix JobProgressListener perf. problems caused by empty
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Josh Rosen updated SPARK-20776:
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Description:
In
{code}
./bin/spark-shell --master=local[64]
{code}
I ran
{code}
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Josh Rosen updated SPARK-20776:
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Description:
In
{code}
./bin/spark-shell --master=local[64]
{code}
I ran
{code}
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Josh Rosen updated SPARK-20776:
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Summary: Fix JobProgressListener perf. problems caused by empty TaskMetrics
initialization (was:
Josh Rosen created SPARK-20776:
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Summary: Fix performance problems in TaskMetrics.nameToAccums map
initialization
Key: SPARK-20776
URL: https://issues.apache.org/jira/browse/SPARK-20776
Project: Spark
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Josh Rosen updated SPARK-20776:
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Attachment: screenshot-1.png
> Fix performance problems in TaskMetrics.nameToAccums map
Josh Rosen created SPARK-20715:
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Summary: MapStatuses shouldn't be redundantly stored in both
ShuffleMapStage and MapOutputTracker
Key: SPARK-20715
URL: https://issues.apache.org/jira/browse/SPARK-20715
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Josh Rosen updated SPARK-20700:
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Description:
The following (complicated) query eventually fails with a stack overflow during
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Josh Rosen updated SPARK-20700:
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Summary: InferFiltersFromConstraints stackoverflows for query (v2) (was:
Expression
Josh Rosen created SPARK-20700:
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Summary: Expression canonicalization hits stack overflow for query
Key: SPARK-20700
URL: https://issues.apache.org/jira/browse/SPARK-20700
Project: Spark
Issue
Josh Rosen created SPARK-20686:
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Summary: PropagateEmptyRelation incorrectly handles aggregate
without grouping expressions
Key: SPARK-20686
URL: https://issues.apache.org/jira/browse/SPARK-20686
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Josh Rosen reassigned SPARK-20685:
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Assignee: Josh Rosen
> BatchPythonEvaluation UDF evaluator fails for case of single UDF with
Josh Rosen created SPARK-20685:
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Summary: BatchPythonEvaluation UDF evaluator fails for case of
single UDF with repeated argument
Key: SPARK-20685
URL: https://issues.apache.org/jira/browse/SPARK-20685
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Josh Rosen commented on SPARK-14584:
[~hyukjin.kwon], yeah, this does appear to be fixed. My only
Josh Rosen created SPARK-20573:
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Summary: --packages fails when transitive dependency can only be
resolved from repository specified in POM's tag
Key: SPARK-20573
URL:
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Josh Rosen commented on SPARK-4836:
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[~ckadner], I'm pretty sure that this is still a problem.
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Josh Rosen commented on SPARK-10878:
[~jeeyoungk], my understanding is that there are two possible
Josh Rosen created SPARK-20453:
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Summary: Bump master branch version to 2.3.0-SNAPSHOT
Key: SPARK-20453
URL: https://issues.apache.org/jira/browse/SPARK-20453
Project: Spark
Issue Type: Bug
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Josh Rosen commented on SPARK-18406:
I can see how allowing user-level code to call setTaskContext()
Josh Rosen created SPARK-20329:
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Summary: Resolution error when HAVING clause uses GROUP BY
expression that involves implicit type coercion
Key: SPARK-20329
URL: https://issues.apache.org/jira/browse/SPARK-20329
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Josh Rosen commented on SPARK-18692:
We can't get the full Jekyll doc build running until we have
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Josh Rosen resolved SPARK-20102.
Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
Fixed for 2.1.1 and master.
Josh Rosen created SPARK-20102:
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Summary: Fix two minor build script issues blocking 2.1.1 RC +
master snapshot builds
Key: SPARK-20102
URL: https://issues.apache.org/jira/browse/SPARK-20102
Project:
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Josh Rosen commented on SPARK-19496:
Let's make sure to document this clearly in the release notes. I
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Josh Rosen updated SPARK-19496:
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Labels: release-notes (was: )
> to_date with format has weird behavior
>
Josh Rosen created SPARK-19758:
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Summary: Casting string to timestamp in inline table definition
fails with AnalysisException
Key: SPARK-19758
URL: https://issues.apache.org/jira/browse/SPARK-19758
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Josh Rosen edited comment on SPARK-12945 at 2/27/17 7:46 PM:
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I'm still
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Josh Rosen updated SPARK-12945:
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Affects Version/s: 2.0.2
> ERROR LiveListenerBus: Listener JobProgressListener threw an exception
>
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Josh Rosen commented on SPARK-12945:
I'm still seeing this error intermittently on Spark 2.0.3
Josh Rosen created SPARK-19691:
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Summary: Calculating percentile of decimal column fails with
ClassCastException
Key: SPARK-19691
URL: https://issues.apache.org/jira/browse/SPARK-19691
Project: Spark
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Josh Rosen commented on SPARK-19685:
By the way, one simple fix here might be to use the "soft-kill
Josh Rosen created SPARK-19685:
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Summary: PipedRDD tasks should not hang on interruption / errors
Key: SPARK-19685
URL: https://issues.apache.org/jira/browse/SPARK-19685
Project: Spark
Issue
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Josh Rosen commented on SPARK-14658:
Here's the logs from my reproduction, excerpted down to only the
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Josh Rosen updated SPARK-14658:
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Description:
{code}
16/04/14 15:35:22 ERROR DAGSchedulerEventProcessLoop:
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Josh Rosen commented on SPARK-14658:
[~srowen], I think that [~yixiaohua] is right here: it looks
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Josh Rosen updated SPARK-14658:
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Affects Version/s: 2.2.0
2.0.0
2.1.0
> when executor
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Josh Rosen updated SPARK-14658:
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Component/s: (was: Spark Core)
Scheduler
> when executor lost DagScheduer may
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Josh Rosen reopened SPARK-14658:
> when executor lost DagScheduer may submit one stage twice even if the first
> running taskset for
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Josh Rosen resolved SPARK-19529.
Resolution: Fixed
> TransportClientFactory.createClient() shouldn't call awaitUninterruptibly()
>
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Josh Rosen updated SPARK-19529:
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Fix Version/s: 1.6.4
> TransportClientFactory.createClient() shouldn't call awaitUninterruptibly()
>
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Josh Rosen updated SPARK-19529:
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Target Version/s: 1.6.4, 2.0.3, 2.1.1, 2.2.0 (was: 1.6.3, 2.0.3, 2.1.1,
2.2.0)
>
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Josh Rosen updated SPARK-19529:
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Fix Version/s: 2.2.0
2.1.1
2.0.3
>
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Josh Rosen commented on SPARK-12661:
IIRC the Jenkins work was to make sure that we have the new
Josh Rosen created SPARK-19555:
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Summary: Improve inefficient StringUtils.escapeLikeRegex() method
Key: SPARK-19555
URL: https://issues.apache.org/jira/browse/SPARK-19555
Project: Spark
Issue
Josh Rosen created SPARK-19529:
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Summary: TransportClientFactory.createClient() shouldn't call
awaitUninterruptibly()
Key: SPARK-19529
URL: https://issues.apache.org/jira/browse/SPARK-19529
Project:
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Josh Rosen resolved SPARK-18866.
Resolution: Duplicate
Fix Version/s: 2.2.0
2.1.1
> Codegen fails with
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Josh Rosen commented on SPARK-18866:
Yep, that's it. This should be fixed by Burak's patch.
>
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Josh Rosen resolved SPARK-18952.
Resolution: Fixed
Assignee: Burak Yavuz
Fix Version/s: 2.2.0
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Josh Rosen updated SPARK-19100:
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Description:
Say that you're scheduling a reduce phase and based on the map output sizes you
have
Josh Rosen created SPARK-19100:
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Summary: Schedule tasks in descending order of estimated input
size / estimated task duration
Key: SPARK-19100
URL: https://issues.apache.org/jira/browse/SPARK-19100
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Josh Rosen updated SPARK-19093:
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Summary: Cached tables are not used in SubqueryExpression (was:
LeftAntiJoin doesn't seem to
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Josh Rosen commented on SPARK-19093:
I'm a bit too busy with other work to tackle this right now, so
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Josh Rosen commented on SPARK-19093:
I'm not sure whether that's the case because I seemed to observe
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Josh Rosen commented on SPARK-19091:
Given above comment, maybe my original JIRA here of better stats
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Josh Rosen commented on SPARK-19091:
This is a pretty easy change but it does impact things slightly
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Josh Rosen updated SPARK-19091:
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Description: It turns out that spark.createDataset(sc.parallelize(x: Seq))
and
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Josh Rosen updated SPARK-19091:
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Comment: was deleted
(was: Upon closer inspection, I think the right approach here might be to
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Josh Rosen updated SPARK-19091:
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Summary: createDataset(sc.parallelize(x: Seq)) should be equivalent to
createDataset(x: Seq) (was:
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Josh Rosen updated SPARK-19091:
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Description:
The Catalyst optimizer uses LogicalRDD to represent scans from existing RDDs.
In
Josh Rosen created SPARK-19093:
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Summary: LeftAntiJoin doesn't seem to resolve cached tables on
right side
Key: SPARK-19093
URL: https://issues.apache.org/jira/browse/SPARK-19093
Project: Spark
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Josh Rosen commented on SPARK-19091:
Upon closer inspection, I think the right approach here might be
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Josh Rosen updated SPARK-19091:
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Description:
The Catalyst optimizer uses LogicalRDD to represent scans from existing RDDs.
In
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Josh Rosen updated SPARK-19091:
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Description:
The Catalyst optimizer uses LogicalRDD to represent scans from existing RDDs.
In
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Josh Rosen updated SPARK-19091:
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Description:
The Catalyst optimizer uses LogicalRDD to represent scans from existing RDDs.
In
Josh Rosen created SPARK-19091:
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Summary: Implement more accurate statistics for LogicalRDD when
child is ParallelCollectionRDD
Key: SPARK-19091
URL: https://issues.apache.org/jira/browse/SPARK-19091
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Josh Rosen updated SPARK-19091:
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Summary: Implement more accurate statistics for LogicalRDD when child is a
mapped
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Josh Rosen commented on SPARK-18866:
I think this is a duplicate of SPARK-18952
> Codegen fails with
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Josh Rosen commented on SPARK-19044:
In fact, this is an instance of a more general problem when
Josh Rosen created SPARK-19044:
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Summary: PySpark dropna() can fail with AnalysisException
Key: SPARK-19044
URL: https://issues.apache.org/jira/browse/SPARK-19044
Project: Spark
Issue Type: Bug
Josh Rosen created SPARK-18928:
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Summary: FileScanRDD, JDBCRDD, and UnsafeSorter should support
task cancellation
Key: SPARK-18928
URL: https://issues.apache.org/jira/browse/SPARK-18928
Project: Spark
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Josh Rosen commented on SPARK-17892:
In the future, please re-use the existing JIRA when backporting
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Josh Rosen commented on SPARK-17409:
This was actually fixed in branch-2.x as well, via SPARK-17892.
Josh Rosen created SPARK-18761:
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Summary: Uncancellable / unkillable tasks may starve jobs of
resoures
Key: SPARK-18761
URL: https://issues.apache.org/jira/browse/SPARK-18761
Project: Spark
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Josh Rosen updated SPARK-14660:
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Component/s: Scheduler
> Executors show up active tasks indefinitely after stage is killed
>
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Josh Rosen updated SPARK-14932:
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Labels: starter (was: )
> Allow DataFrame.replace() to replace values with None
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https://issues.apache.org/jira/browse/SPARK-14932?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15723620#comment-15723620
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Josh Rosen commented on SPARK-14932:
I think that there's a similar issue impacting the Scala / Java
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https://issues.apache.org/jira/browse/SPARK-18692?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15716758#comment-15716758
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Josh Rosen commented on SPARK-18692:
+1; this would be great to have. I believe that this may get
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https://issues.apache.org/jira/browse/SPARK-18640?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15715712#comment-15715712
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Josh Rosen commented on SPARK-18640:
Actually, this doesn't look necessary because that method isn't
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https://issues.apache.org/jira/browse/SPARK-18640?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15715690#comment-15715690
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Josh Rosen commented on SPARK-18640:
I'm also going to backport this into branch-1.6.
> Fix minor
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https://issues.apache.org/jira/browse/SPARK-18553?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen resolved SPARK-18553.
Resolution: Fixed
Fix Version/s: 1.6.4
> Executor loss may cause TaskSetManager to be
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https://issues.apache.org/jira/browse/SPARK-18362?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen updated SPARK-18362:
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Summary: Use TextFileFormat in implementation of CSVFileFormat (was: Use
TextFileFormat in
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https://issues.apache.org/jira/browse/SPARK-18362?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen updated SPARK-18362:
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Description: Spark's CSVFileFormat data source uses inefficient methods for
reading files during
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