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Wenchen Fan commented on SPARK-21190:
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Thanks for your proposal!
I have 2 thoughts:
1. How should we
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Takeshi Yamamuro commented on SPARK-21276:
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cc: [~davies]
> Update lz4-java to remove custom
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Takeshi Yamamuro updated SPARK-21276:
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Description:
We currently use custom LZ4BlockInputStream to read concatenated byte
Takeshi Yamamuro created SPARK-21276:
Summary: Update lz4-java to remove custom LZ4BlockInputStream
Key: SPARK-21276
URL: https://issues.apache.org/jira/browse/SPARK-21276
Project: Spark
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Takeshi Yamamuro updated SPARK-21276:
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Description:
We currently use custom LZ4BlockInputStream to read concatenated byte
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Miao Wang commented on SPARK-20307:
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[~Monday0927!] "Have you also try to load the model trained in
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Xiao Li resolved SPARK-21273.
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Resolution: Fixed
Fix Version/s: 2.3.0
> Decouple stats propagation from logical plan
>
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Apache Spark reassigned SPARK-20307:
Assignee: (was: Apache Spark)
> SparkR: pass on setHandleInvalid to spark.mllib
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Apache Spark commented on SPARK-20307:
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User 'wangmiao1981' has created a pull request for this
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Apache Spark reassigned SPARK-20307:
Assignee: Apache Spark
> SparkR: pass on setHandleInvalid to spark.mllib functions that
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Ruslan Dautkhanov commented on SPARK-21274:
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[~rxin], I wish I could. We only use PySpark and
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Kazuaki Ishizaki edited comment on SPARK-21271 at 7/1/17 3:18 AM:
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I
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Kazuaki Ishizaki commented on SPARK-21271:
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I see. I will work for this.
Thank you for letting
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Wenchen Fan commented on SPARK-21271:
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yea we should. BTW the code seems wrong to be, the length of
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Kazuaki Ishizaki commented on SPARK-21271:
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I see. This issue comes from the violation such as
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Wenchen Fan commented on SPARK-21271:
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For word-aligned I mean 8-bytes aligned, so the size of
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Liang-Chi Hsieh resolved SPARK-20953.
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Resolution: Fixed
> Add hash map metrics to aggregate and join
>
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Kazuaki Ishizaki commented on SPARK-21271:
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I see. For var-length part, its regulation (or
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Joseph K. Bradley updated SPARK-20929:
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Target Version/s: 2.2.0 (was: 2.2.1, 2.3.0)
> LinearSVC should not use shared Param
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Joseph K. Bradley updated SPARK-20929:
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Fix Version/s: (was: 2.2.1)
(was: 2.3.0)
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Wenchen Fan resolved SPARK-21127.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18334
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Wenchen Fan reassigned SPARK-21127:
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Assignee: Zhenhua Wang
> Update statistics after data changing commands
>
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Wenchen Fan commented on SPARK-21271:
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We do have this regulation for var-length part in UnsafeRow,
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Kazuaki Ishizaki commented on SPARK-21271:
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In {{UnsafeRow}}, the length of fixed part should be
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Wenchen Fan resolved SPARK-17528.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18483
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Apache Spark reassigned SPARK-21275:
Assignee: Apache Spark
> Update GLM test to use supportedFamilyNames
>
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Apache Spark commented on SPARK-21275:
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User 'actuaryzhang' has created a pull request for this
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Apache Spark reassigned SPARK-21275:
Assignee: (was: Apache Spark)
> Update GLM test to use supportedFamilyNames
>
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Reynold Xin commented on SPARK-21274:
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Do you want to submit a pull request?
> Implement EXCEPT ALL
Wayne Zhang created SPARK-21275:
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Summary: Update GLM test to use supportedFamilyNames
Key: SPARK-21275
URL: https://issues.apache.org/jira/browse/SPARK-21275
Project: Spark
Issue Type:
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Ruslan Dautkhanov commented on SPARK-21274:
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For INTERSECT ALL I was also experimenting with
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yuhao yang commented on SPARK-20082:
I'm OK with only supporting initialModel for Online LDA now. For
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Ruslan Dautkhanov commented on SPARK-13225:
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Please consider this approach to implement
Ruslan Dautkhanov created SPARK-21274:
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Summary: Implement EXCEPT ALL and INTERSECT ALL
Key: SPARK-21274
URL: https://issues.apache.org/jira/browse/SPARK-21274
Project: Spark
Issue Type:
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Jacek Laskowski commented on SPARK-20597:
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Go for it, [~Satyajit]!
> KafkaSourceProvider falls
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yuhao yang commented on SPARK-19053:
Not sure if this is still wanted. cc [~josephkb]
And I'd like to
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Apache Spark reassigned SPARK-21273:
Assignee: Reynold Xin (was: Apache Spark)
> Decouple stats propagation from logical plan
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Apache Spark commented on SPARK-21273:
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User 'rxin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-21273:
Assignee: Apache Spark (was: Reynold Xin)
> Decouple stats propagation from logical plan
Reynold Xin created SPARK-21273:
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Summary: Decouple stats propagation from logical plan
Key: SPARK-21273
URL: https://issues.apache.org/jira/browse/SPARK-21273
Project: Spark
Issue Type:
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Apache Spark reassigned SPARK-21272:
Assignee: Apache Spark
> SortMergeJoin LeftAnti does not update numOutputRows
>
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Apache Spark reassigned SPARK-21272:
Assignee: (was: Apache Spark)
> SortMergeJoin LeftAnti does not update numOutputRows
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Leif Walsh commented on SPARK-21190:
I think we can get away with doing windowing (deciding which
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Apache Spark commented on SPARK-21272:
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User 'juliuszsompolski' has created a pull request for this
Juliusz Sompolski created SPARK-21272:
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Summary: SortMergeJoin LeftAnti does not update numOutputRows
Key: SPARK-21272
URL: https://issues.apache.org/jira/browse/SPARK-21272
Project: Spark
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Xiao Li resolved SPARK-21129.
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Resolution: Fixed
Fix Version/s: 2.2.0
> Arguments of SQL function call should not be named
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Apache Spark commented on SPARK-20889:
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User 'actuaryzhang' has created a pull request for this
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Reynold Xin closed SPARK-21270.
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Resolution: Won't Fix
While I absolutely would love to see this feature, I don't think this is
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Joseph Wang commented on SPARK-20307:
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Have you also try to load the model trained in SparkR and call
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Miao Wang commented on SPARK-20307:
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Update: Manual test works. I will submit PR soon.
> SparkR: pass
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Li Jin edited comment on SPARK-21190 at 6/30/17 7:38 PM:
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I went another round of
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Li Jin edited comment on SPARK-21190 at 6/30/17 7:36 PM:
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I have some APIs design
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Li Jin edited comment on SPARK-21190 at 6/30/17 7:34 PM:
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I have some APIs design
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Li Jin commented on SPARK-21190:
I have some APIs design written down here:
Here is how to define a udf:
Bogdan Raducanu created SPARK-21271:
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Summary: UnsafeRow.hashCode assertion when sizeInBytes not
multiple of 8
Key: SPARK-21271
URL: https://issues.apache.org/jira/browse/SPARK-21271
Project: Spark
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Sean Owen reassigned SPARK-21223:
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Assignee: zenglinxi
Priority: Minor (was: Major)
> Thread-safety issue in
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Sean Owen resolved SPARK-21223.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18430
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Michael Armbrust commented on SPARK-18057:
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We should upgrade. Now that Kafka has a good
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Bryan Cutler edited comment on SPARK-13534 at 6/30/17 6:05 PM:
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Hi
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Bryan Cutler commented on SPARK-13534:
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Hi [~jaise...@gmail.com], the DataFrameWriter API is for
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Reynold Xin resolved SPARK-17924.
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Resolution: Fixed
Fix Version/s: 2.3.0
> Consolidate streaming and batch write path
>
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Apache Spark reassigned SPARK-19326:
Assignee: (was: Apache Spark)
> Speculated task attempts do not get launched in few
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Apache Spark commented on SPARK-19326:
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User 'janewangfb' has created a pull request for this issue:
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Apache Spark reassigned SPARK-19326:
Assignee: Apache Spark
> Speculated task attempts do not get launched in few scenarios
>
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Xiao Li updated SPARK-20073:
Issue Type: Improvement (was: Bug)
> Unexpected Cartesian product when using eqNullSafe in join with a
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Xiao Li updated SPARK-20073:
Component/s: (was: Optimizer)
SQL
> Unexpected Cartesian product when using
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Xiao Li updated SPARK-20073:
Labels: (was: correctness)
> Unexpected Cartesian product when using eqNullSafe in join with a derived
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Sean Owen commented on SPARK-21270:
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How would Spark know how much of the total memory is to be
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Michael Armbrust commented on SPARK-15533:
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Just include the other columns too
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Apache Spark commented on SPARK-21268:
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User 'dardelet' has created a pull request for this issue:
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Apache Spark reassigned SPARK-21268:
Assignee: (was: Apache Spark)
> Move center calculations to a distributed map in
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Apache Spark reassigned SPARK-21268:
Assignee: Apache Spark
> Move center calculations to a distributed map in KMeans
>
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Guillaume Dardelet updated SPARK-21268:
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Description:
As I was monitoring the perfomance of my algorithm with SparkUI, I
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Guillaume Dardelet updated SPARK-21268:
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Summary: Move center calculations to a distributed map in KMeans (was:
Move some
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Guillaume Dardelet updated SPARK-21268:
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Description:
As I was monitoring the perfomance of my algorithm with SparkUI, I
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Guillaume Dardelet updated SPARK-21268:
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Summary: Move some calculations to a distributed map in KMeans (was:
Redundant
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Sean Owen resolved SPARK-21156.
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Resolution: Not A Problem
Closing as not a problem particular to Spark
> Spark cannot handle
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jin xing updated SPARK-21270:
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Issue Type: Improvement (was: Bug)
> Improvement for memory config.
> --
>
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jin xing commented on SPARK-21270:
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cc [~rxin] [~cloud_fan] [~joshrosen]
> Improvement for memory
jin xing created SPARK-21270:
Summary: Improvement for memory config.
Key: SPARK-21270
URL: https://issues.apache.org/jira/browse/SPARK-21270
Project: Spark
Issue Type: Bug
Components:
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Monica Raj edited comment on SPARK-21156 at 6/30/17 3:20 PM:
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Thank you, the
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Monica Raj commented on SPARK-21156:
Thank you, the issue was as you said in the hadoop library. We
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Sean Owen commented on SPARK-21268:
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You can just update this issue.
> Redundant collectAsMap in
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Yuming Wang updated SPARK-21269:
Description:
Spark *cluster* can reproduce, *local* can't:
1. Start a spark context with
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Apache Spark reassigned SPARK-21269:
Assignee: (was: Apache Spark)
> MetadataFetchFailedException: Missing an output
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Apache Spark commented on SPARK-21269:
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User 'wangyum' has created a pull request for this issue:
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Apache Spark reassigned SPARK-21269:
Assignee: Apache Spark
> MetadataFetchFailedException: Missing an output location for
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Guillaume Dardelet commented on SPARK-21268:
Ok I understand why it is useful now thank you.
Yuming Wang created SPARK-21269:
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Summary: MetadataFetchFailedException: Missing an output location
for shuffle 0
Key: SPARK-21269
URL: https://issues.apache.org/jira/browse/SPARK-21269
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-13534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16070126#comment-16070126
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Jais Sebastian commented on SPARK-13534:
Hi,
Do you have any plan to integrate Arrow format for
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Apache Spark reassigned SPARK-21255:
Assignee: Apache Spark
> NPE when creating encoder for enum
>
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https://issues.apache.org/jira/browse/SPARK-21255?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16070120#comment-16070120
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Apache Spark commented on SPARK-21255:
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User 'mike0sv' has created a pull request for this issue:
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Apache Spark reassigned SPARK-21255:
Assignee: (was: Apache Spark)
> NPE when creating encoder for enum
>
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https://issues.apache.org/jira/browse/SPARK-21268?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16070114#comment-16070114
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Sean Owen commented on SPARK-21268:
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I don't think it's redundant, because totalContribs is used later
Guillaume Dardelet created SPARK-21268:
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Summary: Redundant collectAsMap in KMeans
Key: SPARK-21268
URL: https://issues.apache.org/jira/browse/SPARK-21268
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-21227?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16070091#comment-16070091
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Sean Owen commented on SPARK-21227:
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I don't know, I think there is a real issue here somewhere. I
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Yuming Wang updated SPARK-21253:
Description:
Spark *cluster* can reproduce, *local* can't:
1. Start a spark context with
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Seydou Dia edited comment on SPARK-21227 at 6/30/17 1:24 PM:
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Understood,
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Seydou Dia commented on SPARK-21227:
Understood, thank you so much for those insight!
I guess I
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Sean Owen commented on SPARK-21227:
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You should certainly make your app less sensitive to issues like
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