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Reynold Xin commented on SPARK-15694:
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[~tejasp] any update on this?
> Implement
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Shivaram Venkataraman commented on SPARK-15799:
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I think the higher level packages I had in
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Shivaram Venkataraman commented on SPARK-16581:
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Thanks [~sunrui]. This is not targeted for
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Shivaram Venkataraman commented on SPARK-16519:
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Thanks - the only things to keep in mind
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Shivaram Venkataraman commented on SPARK-16508:
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Sorry the JIRA isn't very clear. I divided
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Apache Spark commented on SPARK-16584:
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User 'rxin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16584:
Assignee: Reynold Xin (was: Apache Spark)
> Move regexp unit tests to
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Apache Spark reassigned SPARK-16584:
Assignee: Apache Spark (was: Reynold Xin)
> Move regexp unit tests to
Reynold Xin created SPARK-16584:
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Summary: Move regexp unit tests to RegexpExpressionsSuite
Key: SPARK-16584
URL: https://issues.apache.org/jira/browse/SPARK-16584
Project: Spark
Issue Type:
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Felix Cheung commented on SPARK-16519:
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I can take this
> Handle SparkR RDD generics that
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Felix Cheung commented on SPARK-16508:
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Sure, from checking
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Felix Cheung updated SPARK-16508:
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Comment: was deleted
(was: Sure but I thought your PR is already handling most of this, and
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Felix Cheung commented on SPARK-16579:
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we should download from an official apache release mirror.
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Felix Cheung edited comment on SPARK-16508 at 7/16/16 3:05 AM:
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Sure but I
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Felix Cheung commented on SPARK-16508:
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Sure but I thought your PR is already handling most of this,
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Apache Spark reassigned SPARK-16447:
Assignee: Apache Spark (was: Xusen Yin)
> LDA wrapper in SparkR
> -
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Apache Spark reassigned SPARK-16447:
Assignee: Xusen Yin (was: Apache Spark)
> LDA wrapper in SparkR
> -
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Apache Spark commented on SPARK-16447:
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User 'yinxusen' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16583?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16583:
Assignee: Apache Spark
> Improve Partition Pruning in InMemoryTableScanExec
>
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Apache Spark commented on SPARK-16583:
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User 'gatorsmile' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16583:
Assignee: (was: Apache Spark)
> Improve Partition Pruning in InMemoryTableScanExec
>
Xiao Li created SPARK-16583:
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Summary: Improve Partition Pruning in InMemoryTableScanExec
Key: SPARK-16583
URL: https://issues.apache.org/jira/browse/SPARK-16583
Project: Spark
Issue Type:
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Apache Spark commented on SPARK-16582:
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User 'sameeragarwal' has created a pull request for this
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Apache Spark reassigned SPARK-16582:
Assignee: (was: Apache Spark)
> Explicitly define isNull = false for non-nullable
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Apache Spark reassigned SPARK-16582:
Assignee: Apache Spark
> Explicitly define isNull = false for non-nullable expressions
>
Sameer Agarwal created SPARK-16582:
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Summary: Explicitly define isNull = false for non-nullable
expressions
Key: SPARK-16582
URL: https://issues.apache.org/jira/browse/SPARK-16582
Project: Spark
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Sameer Agarwal commented on SPARK-16334:
cc [~vivanov] too
> [SQL] SQL query on parquet table
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Sun Rui commented on SPARK-16581:
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I can work on this if this is not so urgent:)
> Making JVM backend
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Norman He edited comment on SPARK-16574 at 7/15/16 11:30 PM:
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worker rdd is
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Hyukjin Kwon commented on SPARK-15393:
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Yes please, could you please close this one? And actually,
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Norman He commented on SPARK-16574:
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exactly like you said, right now there is no guarentee this will
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Egor Pahomov commented on SPARK-16334:
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Sure, would test on Monday.
> [SQL] SQL query on parquet
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Felix Cheung commented on SPARK-15799:
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re: higher level R packages that depends on SparkR
- I think
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Reynold Xin closed SPARK-14048.
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Resolution: Not A Problem
Target Version/s: (was: 2.0.0)
Closing this as it is a
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Reynold Xin resolved SPARK-13071.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Coalescing HadoopRDD overwrites existing input
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Reynold Xin closed SPARK-15434.
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Resolution: Won't Fix
> improve EmbedSerializerInFilter rule
>
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Reynold Xin updated SPARK-15944:
Target Version/s: 2.1.0 (was: 2.0.0)
> Make spark.ml package backward compatible with spark.mllib
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Reynold Xin updated SPARK-15703:
Target Version/s: 2.0.1 (was: 2.0.0)
> Spark UI doesn't show all tasks as completed when it
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Reynold Xin commented on SPARK-15393:
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[~hyukjin.kwon] should we close this ticket and SPARK-10216
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Reynold Xin updated SPARK-16032:
Target Version/s: 2.1.0 (was: 2.0.0)
> Audit semantics of various insertion operations related to
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Reynold Xin closed SPARK-15340.
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Resolution: Not A Problem
[~DoingDone9] I'm gong to mark this as not a problem for now. Please
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Reynold Xin updated SPARK-16295:
Target Version/s: 2.0.1 (was: 2.0.0)
> Extract SQL programming guide example snippets from source
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Reynold Xin updated SPARK-16380:
Target Version/s: 2.0.1 (was: 2.0.0)
> Update SQL examples and programming guide for Python
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Reynold Xin closed SPARK-15252.
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Resolution: Won't Fix
> add accumulator wrapper to have more control of it
>
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Reynold Xin resolved SPARK-12420.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Have a built-in CSV data source implementation
>
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Reynold Xin updated SPARK-14385:
Target Version/s: (was: 2.0.0)
> Use FunctionIdentifier in FunctionRegistry/SessionCatalog
>
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Reynold Xin commented on SPARK-16334:
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[~epakhomov] can you try the patch and see if it fixes your
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Apache Spark reassigned SPARK-16580:
Assignee: Apache Spark
> [WARN] class Accumulator in package spark is deprecated: use
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Apache Spark commented on SPARK-16580:
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User 'keypointt' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16580:
Assignee: (was: Apache Spark)
> [WARN] class Accumulator in package spark is
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Sean Owen commented on SPARK-16574:
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Sure, let's say you have 10 machines with 2 GPUs. Then you want to
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Shivaram Venkataraman commented on SPARK-16581:
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[~sunrui] Would you have time to work on
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Apache Spark reassigned SPARK-16334:
Assignee: Apache Spark
> [SQL] SQL query on parquet table
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Xin Ren commented on SPARK-16580:
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You are right this one is hard, it's kindof all over the place. I'd
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Apache Spark commented on SPARK-16334:
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User 'sameeragarwal' has created a pull request for this
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Apache Spark reassigned SPARK-16334:
Assignee: (was: Apache Spark)
> [SQL] SQL query on parquet table
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Shivaram Venkataraman commented on SPARK-16581:
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And we can probably use Apache Toree or
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Sean Owen commented on SPARK-16580:
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Yes, there's much more than this. The ones that occur in tests are
Shivaram Venkataraman created SPARK-16581:
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Summary: Making JVM backend calling functions public
Key: SPARK-16581
URL: https://issues.apache.org/jira/browse/SPARK-16581
Project: Spark
Xin Ren created SPARK-16580:
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Summary: [WARN] class Accumulator in package spark is deprecated:
use AccumulatorV2
Key: SPARK-16580
URL: https://issues.apache.org/jira/browse/SPARK-16580
Project: Spark
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Shixiong Zhu reopened SPARK-16230:
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> Executors self-killing after being assigned tasks while still in init
>
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Shixiong Zhu updated SPARK-16230:
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Assignee: Tejas Patil
Fix Version/s: 2.1.0
2.0.1
> Executors
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Shixiong Zhu resolved SPARK-16230.
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Resolution: Fixed
> Executors self-killing after being assigned tasks while still in init
>
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Shivaram Venkataraman commented on SPARK-16508:
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[~dongjoon] [~felixcheung] Would one of
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Shivaram Venkataraman commented on SPARK-16579:
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One thing to note is that I think the
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Sameer Agarwal commented on SPARK-16334:
While I've not been able to reproduce this bug, looking
Shivaram Venkataraman created SPARK-16579:
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Summary: Add a spark install function
Key: SPARK-16579
URL: https://issues.apache.org/jira/browse/SPARK-16579
Project: Spark
Issue Type:
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Shivaram Venkataraman commented on SPARK-16579:
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cc [~junyangq]
> Add a spark install
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Michael Gummelt commented on SPARK-16522:
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This shouldn't affect functionality
> [MESOS] Spark
Shivaram Venkataraman created SPARK-16578:
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Summary: Configurable hostname for RBackend
Key: SPARK-16578
URL: https://issues.apache.org/jira/browse/SPARK-16578
Project: Spark
Issue
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Shivaram Venkataraman commented on SPARK-16578:
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cc [~junyangq] [~falaki]
> Configurable
Shivaram Venkataraman created SPARK-16577:
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Summary: Add check-cran script to Jenkins
Key: SPARK-16577
URL: https://issues.apache.org/jira/browse/SPARK-16577
Project: Spark
Issue
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Dongjoon Hyun commented on SPARK-16576:
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Sure. I will add a broadcast hint in `[SPARK-16475][SQL]
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Reynold Xin commented on SPARK-16576:
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cc [~lian cheng] - who wrote the original code for this.
>
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Reynold Xin commented on SPARK-16576:
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cc [~dongjoon] this is related to the broadcast issue. How
Reynold Xin created SPARK-16576:
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Summary: Move plan SQL generation code from SQLBuilder into
logical operators
Key: SPARK-16576
URL: https://issues.apache.org/jira/browse/SPARK-16576
Project: Spark
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Reynold Xin updated SPARK-15232:
Issue Type: Sub-task (was: Improvement)
Parent: SPARK-16576
> Add subquery SQL building
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Suhas updated SPARK-16575:
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Component/s: Spark Shell
Java API
Input/Output
> partition calculation
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Joseph K. Bradley commented on SPARK-14817:
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I just merged
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Reynold Xin updated SPARK-15747:
Target Version/s: (was: 2.0.0)
> Support SPARK_CONF_DIR/spark-defaults.d/*.conf drop-in style
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Reynold Xin updated SPARK-14146:
Target Version/s: (was: 2.0.0)
> Imported implicits can't be found in Spark REPL in some cases
>
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Reynold Xin closed SPARK-14823.
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Resolution: Fixed
This was fixed when we updated the SQL programming guide.
> Fix all references
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Yin Huai updated SPARK-13393:
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Target Version/s: (was: 2.0.0)
> Column mismatch issue in left_outer join using Spark DataFrame
>
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Reynold Xin updated SPARK-15232:
Target Version/s: (was: 2.0.0)
> Add subquery SQL building tests to LogicalPlanToSQLSuite
>
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Yin Huai resolved SPARK-13393.
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Resolution: Duplicate
The underlying issue shown by this jira is SPARK-13801. I am closing this one.
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Suhas commented on SPARK-16575:
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There is a workaround for this, by using sc.binaryFiles(path,
Suhas created SPARK-16575:
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Summary: partition calculation mismatch with sc.binaryFiles
Key: SPARK-16575
URL: https://issues.apache.org/jira/browse/SPARK-16575
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-16522?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15380058#comment-15380058
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Reynold Xin commented on SPARK-16522:
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Any update?
> [MESOS] Spark application throws exception on
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https://issues.apache.org/jira/browse/SPARK-13753?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-13753:
Target Version/s: (was: 2.0.0)
> Column nullable is derived incorrectly
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https://issues.apache.org/jira/browse/SPARK-13959?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin resolved SPARK-13959.
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Resolution: Fixed
Assignee: Reynold Xin
Fix Version/s: 2.0.0
Target
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https://issues.apache.org/jira/browse/SPARK-16574?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15380046#comment-15380046
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Norman He commented on SPARK-16574:
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worker rdd is 40 tuples. They are equivalent. no data locality
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https://issues.apache.org/jira/browse/SPARK-13393?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai updated SPARK-13393:
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Priority: Major (was: Critical)
> Column mismatch issue in left_outer join using Spark DataFrame
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https://issues.apache.org/jira/browse/SPARK-13393?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai updated SPARK-13393:
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Assignee: (was: Xiang Zhong)
> Column mismatch issue in left_outer join using Spark DataFrame
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https://issues.apache.org/jira/browse/SPARK-16046?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-16046:
Target Version/s: (was: 2.0.0)
> Add Spark SQL Dataset Tutorial
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https://issues.apache.org/jira/browse/SPARK-5569?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15380024#comment-15380024
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Sean Owen commented on SPARK-5569:
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I'm not sure it was fully resolved; see the last 3-4 comments. It is
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https://issues.apache.org/jira/browse/SPARK-5569?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15379976#comment-15379976
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Michael Li commented on SPARK-5569:
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It seems the PR (https://github.com/apache/spark/pull/8955) has
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https://issues.apache.org/jira/browse/SPARK-16574?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15379923#comment-15379923
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Sean Owen commented on SPARK-16574:
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spark.yarn.executor.nodeLabelExpression is described at
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https://issues.apache.org/jira/browse/SPARK-16574?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15379921#comment-15379921
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Norman He commented on SPARK-16574:
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do you have a link? Each task should only use one gpu. and The
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https://issues.apache.org/jira/browse/SPARK-16573?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15379892#comment-15379892
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Sean Owen commented on SPARK-16573:
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I'm not sure it's mysterious how that would work, but, doesn't
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https://issues.apache.org/jira/browse/SPARK-16574?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15379890#comment-15379890
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Sean Owen commented on SPARK-16574:
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You can target which machines to choose with something like YARN
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