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Yan Facai (颜发才) edited comment on SPARK-20199 at 4/26/17 6:11 AM:
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The
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Liang-Chi Hsieh edited comment on SPARK-20392 at 4/26/17 6:43 AM:
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Liang-Chi Hsieh edited comment on SPARK-20392 at 4/26/17 6:43 AM:
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Liang-Chi Hsieh edited comment on SPARK-20392 at 4/26/17 6:44 AM:
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liyunzhang_intel created SPARK-20466:
Summary: HadoopRDD#addLocalConfiguration throws NPE
Key: SPARK-20466
URL: https://issues.apache.org/jira/browse/SPARK-20466
Project: Spark
Issue
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Apache Spark reassigned SPARK-20467:
Assignee: Apache Spark
> sbt-launch-lib.bash has lacked the ASF header.
>
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Liang-Chi Hsieh commented on SPARK-20392:
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[~barrybecker4] Btw, the time applying the model_9756
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Apache Spark reassigned SPARK-20468:
Assignee: Apache Spark
> Refactor the ALS code
> -
>
>
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Apache Spark reassigned SPARK-20468:
Assignee: (was: Apache Spark)
> Refactor the ALS code
> -
>
>
darion yaphet created SPARK-20469:
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Summary: Add a method to display DataFrame schema in PipelineStage
Key: SPARK-20469
URL: https://issues.apache.org/jira/browse/SPARK-20469
Project: Spark
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Apache Spark reassigned SPARK-20392:
Assignee: (was: Apache Spark)
> Slow performance when calling fit on ML pipeline for
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Apache Spark reassigned SPARK-20392:
Assignee: Apache Spark
> Slow performance when calling fit on ML pipeline for dataset
Philip Adetiloye created SPARK-20470:
Summary: Invalid json converting RDD row with Array of struct to
json
Key: SPARK-20470
URL: https://issues.apache.org/jira/browse/SPARK-20470
Project: Spark
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Daniel Li commented on SPARK-20468:
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I'd appreciate if someone with permissions could assign this issue
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Apache Spark reassigned SPARK-20471:
Assignee: Apache Spark
> Remove AggregateBenchmark testsuite warning: Two level hashmap
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Apache Spark reassigned SPARK-20471:
Assignee: (was: Apache Spark)
> Remove AggregateBenchmark testsuite warning: Two
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liyunzhang_intel updated SPARK-20466:
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Attachment: NPE_log
NPE_log describes the detailed info.
>
liuzhaokun created SPARK-20467:
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Summary: sbt-launch-lib.bash has lacked the ASF header.
Key: SPARK-20467
URL: https://issues.apache.org/jira/browse/SPARK-20467
Project: Spark
Issue Type: Bug
Daniel Li created SPARK-20468:
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Summary: Refactor the ALS code
Key: SPARK-20468
URL: https://issues.apache.org/jira/browse/SPARK-20468
Project: Spark
Issue Type: Improvement
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Apache Spark commented on SPARK-20468:
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User 'danielyli' has created a pull request for this issue:
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Sean Owen commented on SPARK-20470:
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What JSON do you expect? what JSON do you get?
There's no relevant
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Philip Adetiloye updated SPARK-20470:
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Description:
Trying to convert an RDD in pyspark containing Array of struct doesn't
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Philip Adetiloye updated SPARK-20470:
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Description:
Trying to convert an RDD in pyspark containing Array of struct doesn't
Shahbaz Hussain created SPARK-20472:
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Summary: Support for Dynamic Configuration
Key: SPARK-20472
URL: https://issues.apache.org/jira/browse/SPARK-20472
Project: Spark
Issue Type: Bug
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Apache Spark commented on SPARK-20471:
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User 'heary-cao' has created a pull request for this issue:
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Nick Pentreath commented on SPARK-11968:
Thanks - in the meantime I will take a look at the PR.
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Christian Reiniger commented on SPARK-20081:
Thank you. All (potential) labels *are* in fact
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Sean Owen resolved SPARK-20467.
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Resolution: Not A Problem
This file should not have an ASF header.
> sbt-launch-lib.bash has lacked
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Sean Owen reassigned SPARK-20400:
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Assignee: Bill Chambers
> Remove References to Third Party Vendors from Spark ASF Documentation
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Sean Owen resolved SPARK-20400.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17695
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Philip Adetiloye updated SPARK-20470:
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Description:
Trying to convert an RDD in pyspark containing Array of struct doesn't
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Philip Adetiloye commented on SPARK-20470:
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[~srowen] I'm sorry, I added an example.
> Invalid
caoxuewen created SPARK-20471:
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Summary: Remove AggregateBenchmark testsuite warning: Two level
hashmap is disabled but vectorized hashmap is enabled.
Key: SPARK-20471
URL:
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Sean Owen commented on SPARK-20472:
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I don't think this is generally possible, because some config is
Michal Szafranski created SPARK-20473:
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Summary: ColumnVector.Array is missing accessors for some types
Key: SPARK-20473
URL: https://issues.apache.org/jira/browse/SPARK-20473
Project: Spark
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Calin Cocan commented on SPARK-12965:
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I have encountered the same problem using StringIndexer and
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Apache Spark commented on SPARK-20473:
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User 'michal-databricks' has created a pull request for this
Lijia Liu created SPARK-20475:
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Summary: Whether use "broadcast join" depends on hive configuration
Key: SPARK-20475
URL: https://issues.apache.org/jira/browse/SPARK-20475
Project: Spark
Issue
Michal Szafranski created SPARK-20474:
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Summary: OnHeapColumnVector realocation may not copy existing data
Key: SPARK-20474
URL: https://issues.apache.org/jira/browse/SPARK-20474
Project: Spark
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Apache Spark commented on SPARK-20474:
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User 'michal-databricks' has created a pull request for this
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Apache Spark reassigned SPARK-20473:
Assignee: Apache Spark
> ColumnVector.Array is missing accessors for some types
>
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Apache Spark reassigned SPARK-20473:
Assignee: (was: Apache Spark)
> ColumnVector.Array is missing accessors for some
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Apache Spark reassigned SPARK-20473:
Assignee: Apache Spark
> ColumnVector.Array is missing accessors for some types
>
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Apache Spark reassigned SPARK-20474:
Assignee: (was: Apache Spark)
> OnHeapColumnVector realocation may not copy existing
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Apache Spark reassigned SPARK-20473:
Assignee: (was: Apache Spark)
> ColumnVector.Array is missing accessors for some
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Apache Spark reassigned SPARK-20474:
Assignee: Apache Spark
> OnHeapColumnVector realocation may not copy existing data
>
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Sebastian Arzt commented on SPARK-18371:
I deep dived into it and found a simple solution. The
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Sebastian Arzt edited comment on SPARK-18371 at 4/26/17 1:24 PM:
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I deep
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Thomas Graves resolved SPARK-19812.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.0
> YARN shuffle
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Sebastian Arzt edited comment on SPARK-18371 at 4/26/17 1:23 PM:
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I deep
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Imran Rashid reassigned SPARK-20391:
Assignee: Saisai Shao
> Properly rename the memory related fields in ExecutorSummary REST
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Steve Loughran commented on SPARK-7481:
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I think we ended up going in circles on that PR. Sean has
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Imran Rashid resolved SPARK-20391.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17700
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Apache Spark commented on SPARK-18371:
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User 'arzt' has created a pull request for this issue:
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Sebastian Arzt updated SPARK-18371:
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Comment: was deleted
(was: After fix)
> Spark Streaming backpressure bug - generates a
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Sebastian Arzt updated SPARK-18371:
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Comment: was deleted
(was: Before fix)
> Spark Streaming backpressure bug - generates a
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cen yuhai updated SPARK-20476:
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Description:
I encounter this problem when I want to create a table as select ,
get_json_object
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cen yuhai updated SPARK-20476:
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Description:
I encounter this problem when I want to create a table as select ,
get_json_object
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Sebastian Arzt updated SPARK-18371:
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Attachment: 01.png
Before fix
> Spark Streaming backpressure bug - generates a batch with
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Sebastian Arzt updated SPARK-18371:
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Attachment: 02.png
After fix
> Spark Streaming backpressure bug - generates a batch with
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Sebastian Arzt commented on SPARK-18371:
Screenshots:
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Paul Lysak edited comment on SPARK-17403 at 4/26/17 3:23 PM:
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Looks like we
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Apache Spark reassigned SPARK-18371:
Assignee: (was: Apache Spark)
> Spark Streaming backpressure bug - generates a batch
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Apache Spark reassigned SPARK-18371:
Assignee: Apache Spark
> Spark Streaming backpressure bug - generates a batch with large
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Paul Lysak commented on SPARK-17403:
Hope that helps - finally managed to reproduce it without using
cen yuhai created SPARK-20476:
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Summary: Exception between "create table as" and "get_json_object"
Key: SPARK-20476
URL: https://issues.apache.org/jira/browse/SPARK-20476
Project: Spark
Issue
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cen yuhai updated SPARK-20476:
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Description:
{code}
create table spark_json_object as
select get_json_object(deliver_geojson,'$.')
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Xiao Li commented on SPARK-20476:
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You can bypass it by
{noformat}
create table spark_json_object as
Felix Cheung created SPARK-20478:
Summary: Document LinearSVC in R programming guide
Key: SPARK-20478
URL: https://issues.apache.org/jira/browse/SPARK-20478
Project: Spark
Issue Type:
Felix Cheung created SPARK-20477:
Summary: Document R bisecting k-means in R programming guide
Key: SPARK-20477
URL: https://issues.apache.org/jira/browse/SPARK-20477
Project: Spark
Issue
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Felix Cheung commented on SPARK-20478:
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[~wangmiao1981] Would you like to add this?
> Document
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Felix Cheung commented on SPARK-20477:
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[~wangmiao1981] Would you like to add this?
> Document R
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Felix Cheung updated SPARK-20477:
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Issue Type: Documentation (was: Bug)
> Document R bisecting k-means in R programming guide
>
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Reynold Xin resolved SPARK-20473.
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Resolution: Fixed
Assignee: Michal Szafranski
Fix Version/s: 2.2.0
>
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Apache Spark commented on SPARK-20208:
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User 'zero323' has created a pull request for this issue:
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Apache Spark reassigned SPARK-20208:
Assignee: Apache Spark (was: Maciej Szymkiewicz)
> Document R fpGrowth support in
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Apache Spark reassigned SPARK-20208:
Assignee: Maciej Szymkiewicz (was: Apache Spark)
> Document R fpGrowth support in
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Xiao Li updated SPARK-20470:
Component/s: SQL
> Invalid json converting RDD row with Array of struct to json
>
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Steve Loughran commented on SPARK-7481:
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(This is a fairly long comment, but it tries to summarise
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Xiao Li commented on SPARK-20476:
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This sounds a bug to me. Let me double check it
> Exception between
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Xiao Li commented on SPARK-20475:
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cc [~ZenWzh]
> Whether use "broadcast join" depends on hive
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Apache Spark commented on SPARK-20467:
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User 'liu-zhaokun' has created a pull request for this
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Apache Spark reassigned SPARK-20467:
Assignee: (was: Apache Spark)
> sbt-launch-lib.bash has lacked the ASF header.
>
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Sean Owen commented on SPARK-20468:
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Please read http://spark.apache.org/contributing.html first, we
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Apache Spark commented on SPARK-20392:
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User 'viirya' has created a pull request for this issue:
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Philip Adetiloye updated SPARK-20470:
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Description:
Trying to convert an RDD in pyspark containing Array of struct doesn't
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Philip Adetiloye updated SPARK-20470:
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Description:
Trying to convert an RDD in pyspark containing Array of struct doesn't
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Felix Cheung reopened SPARK-20208:
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Actually, would you mind updating the R programming guide too?
> Document R fpGrowth support in
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Felix Cheung updated SPARK-20015:
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Summary: Document R Structured Streaming (experimental) in R vignettes and
R & SS programming
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https://issues.apache.org/jira/browse/SPARK-20184?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15985319#comment-15985319
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Kazuaki Ishizaki commented on SPARK-20184:
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When # of the aggregated columns gets large, I saw
Kazuaki Ishizaki created SPARK-20479:
Summary: Performance degradation for large number of
hash-aggregated columns
Key: SPARK-20479
URL: https://issues.apache.org/jira/browse/SPARK-20479
Project:
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https://issues.apache.org/jira/browse/SPARK-20480?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15985567#comment-15985567
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Thomas Graves commented on SPARK-20480:
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exception in task manager looks like:
17/04/26 20:09:21
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https://issues.apache.org/jira/browse/SPARK-12868?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Marcelo Vanzin resolved SPARK-12868.
Resolution: Fixed
Assignee: Weiqing Yang
Fix Version/s: 2.2.0
> ADD JAR
Thomas Graves created SPARK-20480:
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Summary: FileFormatWriter hides FetchFailedException from scheduler
Key: SPARK-20480
URL: https://issues.apache.org/jira/browse/SPARK-20480
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-20480?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thomas Graves closed SPARK-20480.
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Resolution: Duplicate
> FileFormatWriter hides FetchFailedException from scheduler
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https://issues.apache.org/jira/browse/SPARK-20178?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15985447#comment-15985447
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Thomas Graves commented on SPARK-20178:
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Another thing we should tie in here is handling preempted
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Thomas Graves updated SPARK-20480:
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Description:
I was running a large job where it was getting faiures, noticed they were
listed
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https://issues.apache.org/jira/browse/SPARK-20476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li reassigned SPARK-20476:
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Assignee: Xiao Li
> Exception between "create table as" and "get_json_object"
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https://issues.apache.org/jira/browse/SPARK-20454?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ji Dai updated SPARK-20454:
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Target Version/s: (was: 2.1.0)
> Improvement of ShortestPaths in Spark GraphX
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https://issues.apache.org/jira/browse/SPARK-20480?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15985575#comment-15985575
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Mridul Muralidharan commented on SPARK-20480:
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Shouldn't fix for SPARK-19276 by [~imranr] not
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