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Felix Cheung updated SPARK-22469:
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Target Version/s: 2.2.2
Description:
{code:sql}
select '1.5' > 0.5; // Result is NULL
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Bryan Cutler updated SPARK-21187:
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Description:
This is to track adding the remaining type support in Arrow Converters.
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Felix Cheung commented on SPARK-22522:
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sorry about the confusion - to clarify, the repo is the same
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Apache Spark commented on SPARK-3162:
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User 'smurching' has created a pull request for this issue:
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Felix Cheung edited comment on SPARK-22522 at 11/15/17 6:33 PM:
sorry
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Felix Cheung edited comment on SPARK-22522 at 11/15/17 6:33 PM:
sorry
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Bryan Cutler commented on SPARK-22530:
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working on it
> Add ArrayType Support for working with
Bryan Cutler created SPARK-22530:
Summary: Add ArrayType Support for working with Pandas and Arrow
Key: SPARK-22530
URL: https://issues.apache.org/jira/browse/SPARK-22530
Project: Spark
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Dongjoon Hyun commented on SPARK-22267:
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[~mpetruska]. I made this issue during that PR.
Please see
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Bryan Cutler commented on SPARK-22324:
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I started working on this to test out latest changes in
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Felix Cheung updated SPARK-22522:
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Description:
see http://www.apache.org/dev/publishing-maven-artifacts.html
to publish to
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Felix Cheung updated SPARK-22522:
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Summary: Convert to apache-release to publish Maven artifacts (was:
Convert to apache-release
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Maciej Bryński edited comment on SPARK-16996 at 11/15/17 9:11 PM:
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In
Jorge Sanchez created SPARK-22531:
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Summary: Migrate the implementation of IDF from MLLib to ML
Key: SPARK-22531
URL: https://issues.apache.org/jira/browse/SPARK-22531
Project: Spark
Issue
Nicholas Hakobian created SPARK-22532:
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Summary: Spark SQL function 'drop_duplicates' throws error when
passing in a column that is an element of a struct
Key: SPARK-22532
URL:
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Apache Spark commented on SPARK-22531:
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User 'flowcont' has created a pull request for this issue:
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Apache Spark reassigned SPARK-22531:
Assignee: (was: Apache Spark)
> Migrate the implementation of IDF from MLLib to ML
>
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Apache Spark reassigned SPARK-22531:
Assignee: Apache Spark
> Migrate the implementation of IDF from MLLib to ML
>
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https://issues.apache.org/jira/browse/SPARK-22479?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16254424#comment-16254424
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Apache Spark commented on SPARK-22479:
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User 'onursatici' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16996?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16253531#comment-16253531
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Maciej Bryński edited comment on SPARK-16996 at 11/15/17 9:06 PM:
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In
Marcelo Vanzin created SPARK-22533:
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Summary: SparkConfigProvider does not handle deprecated config keys
Key: SPARK-22533
URL: https://issues.apache.org/jira/browse/SPARK-22533
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-20649?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Imran Rashid reassigned SPARK-20649:
Assignee: Marcelo Vanzin
> Simplify REST API class hierarchy
>
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Imran Rashid resolved SPARK-20649.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 19748
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Apache Spark reassigned SPARK-22533:
Assignee: Apache Spark
> SparkConfigProvider does not handle deprecated config keys
>
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Apache Spark reassigned SPARK-22533:
Assignee: (was: Apache Spark)
> SparkConfigProvider does not handle deprecated config
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Apache Spark commented on SPARK-22533:
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User 'vanzin' has created a pull request for this issue:
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Maciej Bryński edited comment on SPARK-16996 at 11/15/17 9:09 PM:
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In
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Liang-Chi Hsieh commented on SPARK-22491:
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For the query without aggregation, the exchanges are
holdenk created SPARK-22525:
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Summary: Spark download page doesn't update package name based
package type
Key: SPARK-22525
URL: https://issues.apache.org/jira/browse/SPARK-22525
Project: Spark
Chenzhao Guo created SPARK-22524:
Summary: Subquery on UI appear as the same node even if it's not
reused
Key: SPARK-22524
URL: https://issues.apache.org/jira/browse/SPARK-22524
Project: Spark
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Apache Spark commented on SPARK-22524:
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User 'gczsjdy' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-22524?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-22524:
Assignee: Apache Spark
> Subquery on UI appear as the same node even if it's not reused
>
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Apache Spark reassigned SPARK-22524:
Assignee: (was: Apache Spark)
> Subquery on UI appear as the same node even if it's
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https://issues.apache.org/jira/browse/SPARK-22534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16254450#comment-16254450
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Bryan Cutler edited comment on SPARK-22534 at 11/15/17 11:37 PM:
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Opened
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Marcelo Vanzin resolved SPARK-21842.
Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 19272
Shixiong Zhu created SPARK-22535:
Summary: PythonRunner.MonitorThread should give the task a little
time to finish before killing the python worker
Key: SPARK-22535
URL:
Ivan Gozali created SPARK-22536:
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Summary: VectorizedParquetRecordReader doesn't use Parquet's
dictionary filtering feature
Key: SPARK-22536
URL: https://issues.apache.org/jira/browse/SPARK-22536
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Kazuaki Ishizaki commented on SPARK-22517:
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Could you please post a program that can reproduce
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Marcelo Vanzin reassigned SPARK-21842:
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Assignee: Arthur Rand
> Support Kerberos ticket renewal and creation in Mesos
>
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Apache Spark commented on SPARK-22535:
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User 'zsxwing' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-22535?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-22535:
Assignee: Apache Spark
> PythonRunner.MonitorThread should give the task a little time to
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Apache Spark reassigned SPARK-22535:
Assignee: (was: Apache Spark)
> PythonRunner.MonitorThread should give the task a
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https://issues.apache.org/jira/browse/SPARK-22528?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16254669#comment-16254669
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Saisai Shao commented on SPARK-22528:
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Hi [~adobe_pmackles] I think this issue might be due to the
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Sean Owen resolved SPARK-22523.
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Resolution: Duplicate
> Janino throws StackOverflowError on nested structs with many fields
>
zhoukang created SPARK-22539:
Summary: Add second order for rangepartitioner since partition
number may be small if the specified key is skewed
Key: SPARK-22539
URL: https://issues.apache.org/jira/browse/SPARK-22539
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Apache Spark reassigned SPARK-22539:
Assignee: Apache Spark
> Add second order for rangepartitioner since partition number may
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https://issues.apache.org/jira/browse/SPARK-22539?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhoukang updated SPARK-22539:
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Description:
The rangepartitioner generated from shuffle exchange may cause partiton skew if
sort key
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Apache Spark reassigned SPARK-22539:
Assignee: (was: Apache Spark)
> Add second order for rangepartitioner since partition
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https://issues.apache.org/jira/browse/SPARK-22539?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16254867#comment-16254867
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Apache Spark commented on SPARK-22539:
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User 'caneGuy' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-22538?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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MBA Learns to Code updated SPARK-22538:
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Description:
When running the below code on PySpark v2.2.0, the cached input
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MBA Learns to Code updated SPARK-22538:
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Description:
When running the below code on PySpark v2.2.0, the cached input
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https://issues.apache.org/jira/browse/SPARK-22535?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Takuya Ueshin reassigned SPARK-22535:
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Assignee: Shixiong Zhu
> PythonRunner.MonitorThread should give the task a little time
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https://issues.apache.org/jira/browse/SPARK-22535?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Takuya Ueshin resolved SPARK-22535.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 19762
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Maciej Bryński commented on SPARK-16996:
After research I think Spark 2.2 in HDP is using older
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https://issues.apache.org/jira/browse/SPARK-18406?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16254839#comment-16254839
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david zhang commented on SPARK-18406:
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we still find this issue in Spark 2.2, I check this case
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Apache Spark commented on SPARK-22537:
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User 'gczsjdy' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-22537?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-22537:
Assignee: (was: Apache Spark)
> Aggregation of map output statistics on driver faces
MBA Learns to Code created SPARK-22538:
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Summary: SQLTransformer.transform(inputDataFrame) uncaches
inputDataFrame
Key: SPARK-22538
URL: https://issues.apache.org/jira/browse/SPARK-22538
Chenzhao Guo created SPARK-22537:
Summary: Aggregation of map output statistics on driver faces
single point bottleneck
Key: SPARK-22537
URL: https://issues.apache.org/jira/browse/SPARK-22537
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Apache Spark reassigned SPARK-22537:
Assignee: Apache Spark
> Aggregation of map output statistics on driver faces single
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MBA Learns to Code updated SPARK-22538:
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Description:
When running the below code on PySpark v2.2.0, the cached input
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https://issues.apache.org/jira/browse/SPARK-22538?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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MBA Learns to Code updated SPARK-22538:
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Description:
When running the below code on PySpark v2.2.0, the cached input
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https://issues.apache.org/jira/browse/SPARK-22529?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Zhenhua Wang updated SPARK-22529:
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Description: Currently, relation stats is the same whether cbo is enabled
or not. While relation
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Zhenhua Wang updated SPARK-22529:
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Summary: Relation stats should be consistent with other plans based on cbo
config (was: Only
Bryan Cutler created SPARK-22534:
Summary: Add integration test case to explicitly verify optional
validity buffer
Key: SPARK-22534
URL: https://issues.apache.org/jira/browse/SPARK-22534
Project:
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Bryan Cutler closed SPARK-22534.
> Add integration test case to explicitly verify optional validity buffer
>
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Bryan Cutler resolved SPARK-22534.
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Resolution: Not A Problem
Opened by mistake
> Add integration test case to explicitly verify
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Bryan Cutler updated SPARK-22484:
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Component/s: PySpark
> PySpark DataFrame.write.csv(quote="") uses nullchar as quote
>
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Mark Petruska commented on SPARK-22267:
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Investigated the issue; unfortunately did not find any
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mohamed imran updated SPARK-22526:
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Description:
Hi,
I am using Spark 2.2.0(recent version) to read binary files from S3. I use
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mohamed imran updated SPARK-22526:
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Description:
Hi,
I am using Spark 2.2.0(recent version) to read binary files from S3. I use
mohamed imran created SPARK-22526:
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Summary: Spark hangs while reading binary files from S3
Key: SPARK-22526
URL: https://issues.apache.org/jira/browse/SPARK-22526
Project: Spark
Issue Type:
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mohamed imran updated SPARK-22526:
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Description:
Hi,
I am using Spark 2.2.0(recent version) to read binary files from S3. I use
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Sean Owen commented on SPARK-22526:
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It's not clear what you're reporting. Are you saying it's an Avro
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Zhenhua Wang updated SPARK-22529:
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Summary: Only sizeInBytes in catalog stats needs to be propagated when cbo
is disabled (was: No
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Apache Spark reassigned SPARK-22529:
Assignee: Apache Spark
> Only sizeInBytes in catalog stats needs to be propagated when
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https://issues.apache.org/jira/browse/SPARK-22529?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-22529:
Assignee: (was: Apache Spark)
> Only sizeInBytes in catalog stats needs to be
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https://issues.apache.org/jira/browse/SPARK-19371?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16253554#comment-16253554
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Sean Owen commented on SPARK-19371:
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Yes, I get why you want to spread the partitions. It doesn't
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Maciej Bryński commented on SPARK-16996:
In Spark 2.2 even major compaction doesn't help.
Any
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Maciej Bryński edited comment on SPARK-16996 at 11/15/17 2:38 PM:
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In
Zhenhua Wang created SPARK-22529:
Summary: No need to propagate catalog stats when cbo is disabled
Key: SPARK-22529
URL: https://issues.apache.org/jira/browse/SPARK-22529
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-22522?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16253540#comment-16253540
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Sean Owen commented on SPARK-22522:
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I confess I'm not sure about this, but there may be two distinct
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Apache Spark commented on SPARK-22529:
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User 'wzhfy' has created a pull request for this issue:
Liang-Chi Hsieh created SPARK-22527:
---
Summary: Reuse coordinated ShuffleExchange if possible
Key: SPARK-22527
URL: https://issues.apache.org/jira/browse/SPARK-22527
Project: Spark
Issue
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paul mackles updated SPARK-22528:
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Description:
We are using Azure Data Lake (ADL) to store our event logs. This worked fine in
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Wenchen Fan resolved SPARK-22514.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 19740
paul mackles created SPARK-22528:
Summary: History service and non-HDFS filesystems
Key: SPARK-22528
URL: https://issues.apache.org/jira/browse/SPARK-22528
Project: Spark
Issue Type: Bug
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Apache Spark reassigned SPARK-22527:
Assignee: Apache Spark
> Reuse coordinated ShuffleExchange if possible
>
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Apache Spark reassigned SPARK-22527:
Assignee: (was: Apache Spark)
> Reuse coordinated ShuffleExchange if possible
>
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Apache Spark commented on SPARK-22527:
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User 'viirya' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-22525?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen reassigned SPARK-22525:
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Assignee: Sean Owen
https://github.com/apache/spark-website/pull/76
> Spark download page
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https://issues.apache.org/jira/browse/SPARK-22525?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-22525:
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Comment: was deleted
(was: https://github.com/apache/spark-website/pull/76)
> Spark download page
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https://issues.apache.org/jira/browse/SPARK-10915?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk updated SPARK-10915:
Affects Version/s: 2.3.0
> Add support for UDAFs in Python
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https://issues.apache.org/jira/browse/SPARK-6802?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Holden Karau reopened SPARK-6802:
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Now that the Arrow accelerated UDFs are in
https://issues.apache.org/jira/browse/SPARK-21404 maybe
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https://issues.apache.org/jira/browse/SPARK-22528?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16253577#comment-16253577
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Sean Owen commented on SPARK-22528:
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This sounds like a question for the mailing list.
> History
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https://issues.apache.org/jira/browse/SPARK-22525?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-22525.
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Resolution: Fixed
Assignee: holdenk (was: Sean Owen)
Fix Version/s: 2.3.0
Resolved
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https://issues.apache.org/jira/browse/SPARK-6802?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16253634#comment-16253634
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holdenk commented on SPARK-6802:
Oh wait sorry I re-opened the wrong issue.
> User Defined Aggregate
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https://issues.apache.org/jira/browse/SPARK-22274?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16253635#comment-16253635
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holdenk commented on SPARK-22274:
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See also the discussion in
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https://issues.apache.org/jira/browse/SPARK-6802?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk resolved SPARK-6802.
Resolution: Fixed
> User Defined Aggregate Function Refactoring
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https://issues.apache.org/jira/browse/SPARK-22422?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen reassigned SPARK-22422:
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Assignee: Teng Peng
> Add Adjusted R2 to RegressionMetrics
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