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Takeshi Yamamuro commented on SPARK-23589:
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I'll make a pr after I finish other sub-tickets:
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Kazuaki Ishizaki updated SPARK-22246:
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Issue Type: Sub-task (was: Improvement)
Parent: SPARK-10399
> UnsafeRow,
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Felix Cheung commented on SPARK-23632:
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To clarify, are you running into problem because the package
maheshvra created SPARK-23638:
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Summary: Spark on k8s: spark.kubernetes.initContainer.image has no
effect
Key: SPARK-23638
URL: https://issues.apache.org/jira/browse/SPARK-23638
Project: Spark
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Apache Spark commented on SPARK-23627:
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User 'goungoun' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23627:
Assignee: (was: Apache Spark)
> Provide isEmpty() function in DataSet
>
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Apache Spark reassigned SPARK-23627:
Assignee: Apache Spark
> Provide isEmpty() function in DataSet
>
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Apache Spark reassigned SPARK-23637:
Assignee: Apache Spark
> Yarn might allocate more resource if a same executor is killed
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Apache Spark reassigned SPARK-23637:
Assignee: (was: Apache Spark)
> Yarn might allocate more resource if a same executor
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Apache Spark commented on SPARK-23637:
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User 'jinxing64' has created a pull request for this issue:
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jin xing commented on SPARK-23637:
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PR here: https://github.com/apache/spark/pull/20781
> Yarn might
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jin xing updated SPARK-23637:
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Description:
*{{YarnAllocator}}* uses *{{numExecutorsRunning}}* to track the number of
running
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jin xing updated SPARK-23637:
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Description:
YarnAllocator}} uses {{numExecutorsRunning to track the number of
running
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jin xing updated SPARK-23637:
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Description:
{{YarnAllocator }}uses {{numExecutorsRunning}} to track the number of running
executor.
jin xing created SPARK-23637:
Summary: Yarn might allocate more resource if a same executor is
killed multiple times.
Key: SPARK-23637
URL: https://issues.apache.org/jira/browse/SPARK-23637
Project:
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jin xing updated SPARK-23637:
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Description:
{{YarnAllocator}}
uses {{numExecutorsRunning}} to track the number of running executor.
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Deepak updated SPARK-23636:
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Description:
h2.
h2. Summary
While using the KafkaUtils.createRDD API - we receive below listed error,
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Deepak updated SPARK-23636:
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Description:
h2.
h2. Summary
While using the KafkaUtils.createRDD API - we receive below listed error,
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Deepak updated SPARK-23636:
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Description:
h2.
h2. Summary
While using the KafkaUtils.createRDD API - we receive below listed error,
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Deepak updated SPARK-23636:
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Description:
h2.
h2. Summary
While using the KafkaUtils.createRDD API - we receive below listed error,
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Deepak updated SPARK-23636:
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Description:
h2.
h2. Summary
While using the KafkaUtils.createRDD API - we receive below listed error,
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Deepak updated SPARK-23636:
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Description:
While using the KafkaUtils.createRDD API - we receive below listed error,
especially when 1
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Deepak updated SPARK-23636:
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Description:
While using the KafkaUtils.createRDD API - we receive below listed error,
especially when 1
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Apache Spark reassigned SPARK-23598:
Assignee: (was: Apache Spark)
> WholeStageCodegen can lead to IllegalAccessError
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Apache Spark reassigned SPARK-23598:
Assignee: Apache Spark
> WholeStageCodegen can lead to IllegalAccessError calling append
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Apache Spark commented on SPARK-23598:
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User 'kiszk' has created a pull request for this issue:
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Kazuaki Ishizaki edited comment on SPARK-23598 at 3/9/18 3:20 AM:
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Deepak updated SPARK-23636:
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Description:
While using the KafkaUtils.createRDD API - we receive below listed error,
especially when 1
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Deepak updated SPARK-23636:
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Description:
While using the KafkaUtils.createRDD API - we receive below listed error,
especially when 1
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Deepak updated SPARK-23636:
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Description:
While using the KafkaUtils.createRDD API - we receive below listed error,
especially when 1
Deepak created SPARK-23636:
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Summary: [SPARK 2.2] | Kafka Consumer | KafkaUtils.createRDD
throws Exception - java.util.ConcurrentModificationException: KafkaConsumer is
not safe for multi-threaded access
Key: SPARK-23636
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Hyukjin Kwon commented on SPARK-23600:
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ping [~ssha...@hortonworks.com]
> conda_panda_example test
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Hyukjin Kwon commented on SPARK-23613:
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Let's avoid to set a blocker which is usually reserved for
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Hyukjin Kwon updated SPARK-23613:
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Priority: Major (was: Blocker)
> Different Analyzed logical plan data types for the same table
Saisai Shao created SPARK-23635:
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Summary: Spark executor env variable is overwritten by same name
AM env variable
Key: SPARK-23635
URL: https://issues.apache.org/jira/browse/SPARK-23635
Project: Spark
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Saisai Shao updated SPARK-23635:
Description:
In the current Spark on YARN code, AM always will copy and overwrite its env
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Joseph K. Bradley reassigned SPARK-10884:
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Assignee: Weichen Xu (was: Yanbo Liang)
> Support prediction on single
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Matthias Boehm commented on SPARK-21568:
I just upgraded to Spark 2.3 and was about to file a bug
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Apache Spark commented on SPARK-23584:
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User 'maropu' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23584:
Assignee: Apache Spark
> Add interpreted execution to NewInstance expression
>
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Apache Spark reassigned SPARK-23584:
Assignee: (was: Apache Spark)
> Add interpreted execution to NewInstance expression
>
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https://issues.apache.org/jira/browse/SPARK-23162?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16392097#comment-16392097
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kevin yu commented on SPARK-23162:
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Currently testing the code.. will open an pr soon. Kevin
> PySpark
Henry Robinson created SPARK-23634:
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Summary: AttributeReferences may be too conservative wrt
nullability after optimization
Key: SPARK-23634
URL: https://issues.apache.org/jira/browse/SPARK-23634
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Wenchen Fan resolved SPARK-23271.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 20525
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Wenchen Fan reassigned SPARK-23271:
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Assignee: Dilip Biswal
> Parquet output contains only "_SUCCESS" file after empty DataFrame
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Dylan Guedes commented on SPARK-21030:
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So, I started, and here is my progress:
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Wenchen Fan commented on SPARK-23325:
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It's hard to stabilize the binary format like `UnsafeRow` and
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Dylan Guedes edited comment on SPARK-21030 at 3/8/18 10:50 PM:
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So, I
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Wenchen Fan commented on SPARK-23325:
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I think it's mostly document work. We need to add document for
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Apache Spark reassigned SPARK-23615:
Assignee: Apache Spark
> Add maxDF Parameter to Python CountVectorizer
>
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Apache Spark reassigned SPARK-23615:
Assignee: (was: Apache Spark)
> Add maxDF Parameter to Python CountVectorizer
>
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Apache Spark commented on SPARK-23615:
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User 'huaxingao' has created a pull request for this issue:
Li Jin created SPARK-23633:
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Summary: Update Pandas UDFs section in sql-programming-guide
Key: SPARK-23633
URL: https://issues.apache.org/jira/browse/SPARK-23633
Project: Spark
Issue Type:
Jaehyeon Kim created SPARK-23632:
Summary: sparkR.session() error with spark packages - JVM is not
ready after 10 seconds
Key: SPARK-23632
URL: https://issues.apache.org/jira/browse/SPARK-23632
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Apache Spark reassigned SPARK-23630:
Assignee: (was: Apache Spark)
> Spark-on-YARN missing user customizations of hadoop
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Apache Spark commented on SPARK-23630:
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User 'vanzin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23630:
Assignee: Apache Spark
> Spark-on-YARN missing user customizations of hadoop config
>
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Marcelo Vanzin updated SPARK-23630:
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Description:
In my change to fix SPARK-22372, I removed some code that allowed user
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Herman van Hovell resolved SPARK-23602.
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Resolution: Fixed
Assignee: Marco Gaido
Fix Version/s: 2.4.0
>
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Dongjoon Hyun commented on SPARK-23549:
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Thank you for reporting and making a patch for this,
Evan Zamir created SPARK-23631:
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Summary: Add summary to RandomForestClassificationModel
Key: SPARK-23631
URL: https://issues.apache.org/jira/browse/SPARK-23631
Project: Spark
Issue Type: New
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Dongjoon Hyun updated SPARK-23549:
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Affects Version/s: 1.6.3
> Spark SQL unexpected behavior when comparing timestamp to date
>
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Dongjoon Hyun updated SPARK-23549:
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Affects Version/s: 2.0.2
> Spark SQL unexpected behavior when comparing timestamp to date
>
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Dongjoon Hyun updated SPARK-23549:
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Affects Version/s: 2.1.2
> Spark SQL unexpected behavior when comparing timestamp to date
>
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Dongjoon Hyun updated SPARK-23549:
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Affects Version/s: 2.3.0
> Spark SQL unexpected behavior when comparing timestamp to date
>
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Michael Armbrust commented on SPARK-23325:
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It does seem like it would be that hard to stabilize
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Kazuaki Ishizaki commented on SPARK-23598:
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Thanks, I confirmed that I can reproduce this issue
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Ryan Blue commented on SPARK-23325:
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By exposing an interface that uses UnsafeRow, don't we already
Marcelo Vanzin created SPARK-23630:
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Summary: Spark-on-YARN missing user customizations of hadoop config
Key: SPARK-23630
URL: https://issues.apache.org/jira/browse/SPARK-23630
Project: Spark
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Joseph K. Bradley commented on SPARK-14681:
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[~WeichenXu123] Thanks for the PR! I'll comment
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David Vogelbacher edited comment on SPARK-23598 at 3/8/18 6:41 PM:
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David Vogelbacher commented on SPARK-23598:
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[~mgaido] {{HashAggregateExec}} calls
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Apache Spark reassigned SPARK-23549:
Assignee: (was: Apache Spark)
> Spark SQL unexpected behavior when comparing
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Apache Spark reassigned SPARK-23549:
Assignee: Apache Spark
> Spark SQL unexpected behavior when comparing timestamp to date
>
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Apache Spark commented on SPARK-23549:
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User 'kiszk' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16630?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16391649#comment-16391649
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Attila Zsolt Piros commented on SPARK-16630:
I am working on this issue.
> Blacklist a node
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Kazuaki Ishizaki edited comment on SPARK-23549 at 3/8/18 5:33 PM:
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I
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Bryan Cutler commented on SPARK-23615:
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Sure, go ahead
> Add maxDF Parameter to Python
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Vikram Agrawal commented on SPARK-18165:
[~gaurav24] - yeah I saw that. Nonetheless, I have spent
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Gaurav Shah commented on SPARK-18165:
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Databricks have it implemented not sure why is it exclusive
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Yu Wang commented on SPARK-23625:
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[~hvanhovell] thank you for your answer, but it doesn't happen
Bruce Robbins created SPARK-23629:
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Summary: Building streaming-kafka-0-8-assembly or
streaming-flume-assembly adds incompatible jline jar to assembly
Key: SPARK-23629
URL:
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Kazuaki Ishizaki commented on SPARK-23549:
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I see. Make sense. It would be good to cast
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Marco Gaido commented on SPARK-23598:
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[~dvogelbacher] the parameter you are talking about is taken
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Apache Spark reassigned SPARK-23602:
Assignee: (was: Apache Spark)
> PrintToStderr should behave the same in interpreted
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Apache Spark reassigned SPARK-23602:
Assignee: Apache Spark
> PrintToStderr should behave the same in interpreted mode
>
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Apache Spark commented on SPARK-23602:
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User 'mgaido91' has created a pull request for this issue:
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Dong Jiang commented on SPARK-23549:
[~kiszk], I expect your query to return false, as presto/Athena
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Kazuaki Ishizaki commented on SPARK-23549:
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I think that this is a problem in Spark.
My question
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https://issues.apache.org/jira/browse/SPARK-18165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16391305#comment-16391305
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Vikram Agrawal commented on SPARK-18165:
I have worked on an implementation of Kinesis
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https://issues.apache.org/jira/browse/SPARK-23513?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16391293#comment-16391293
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zhoukang commented on SPARK-23513:
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Could you please post some more details?[~Fray]
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Apache Spark reassigned SPARK-23628:
Assignee: Apache Spark
> WholeStageCodegen can generate methods with too many params
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Apache Spark commented on SPARK-23628:
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User 'mgaido91' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23628:
Assignee: (was: Apache Spark)
> WholeStageCodegen can generate methods with too many
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https://issues.apache.org/jira/browse/SPARK-23549?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16391282#comment-16391282
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zhoukang edited comment on SPARK-23549 at 3/8/18 2:07 PM:
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I think this is a
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zhoukang commented on SPARK-23549:
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I think this is a bug.Which may caused by rule below:
{code:java}
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https://issues.apache.org/jira/browse/SPARK-22751?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-22751.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 20472
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Sean Owen reassigned SPARK-22751:
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Assignee: lucio35
> Improve ML RandomForest shuffle performance
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Marco Gaido created SPARK-23628:
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Summary: WholeStageCodegen can generate methods with too many
params
Key: SPARK-23628
URL: https://issues.apache.org/jira/browse/SPARK-23628
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-23592?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Herman van Hovell resolved SPARK-23592.
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Resolution: Fixed
Fix Version/s: 2.4.0
> Add interpreted execution for
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