Takuya Ueshin created SPARK-24781:
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Summary: Using a reference from Dataset in Filter might not work.
Key: SPARK-24781
URL: https://issues.apache.org/jira/browse/SPARK-24781
Project: Spark
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Jonathan A Weaver updated SPARK-24736:
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Summary: --py-files not functional for non local URLs. It appears to pass
non-local
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Wenchen Fan resolved SPARK-24165.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21687
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Wenchen Fan reassigned SPARK-24165:
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Assignee: Marek Novotny
> UDF within when().otherwise() raises NullPointerException
>
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Apache Spark commented on SPARK-24697:
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User 'tdas' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-24753?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16539490#comment-16539490
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Takeshi Yamamuro commented on SPARK-24753:
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I closed this as 'not a problem'. Feel free to open
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Takeshi Yamamuro resolved SPARK-24753.
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Resolution: Not A Problem
> bad backslah parsing in SQL statements
>
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Takeshi Yamamuro commented on SPARK-24778:
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I think that it is more reasonable to reject the
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Hyukjin Kwon commented on SPARK-20202:
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Hey [~owen.omalley] and [~rxin], I know I see many
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Yuming Wang updated SPARK-24766:
Summary: CreateHiveTableAsSelect and InsertIntoHiveDir won't generate
decimal column stats in
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Tathagata Das resolved SPARK-24730.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 21701
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Hyukjin Kwon updated SPARK-24753:
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Priority: Trivial (was: Minor)
> bad backslah parsing in SQL statements
>
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Hyukjin Kwon updated SPARK-24753:
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Issue Type: Documentation (was: Bug)
> bad backslah parsing in SQL statements
>
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Hyukjin Kwon commented on SPARK-24753:
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If the example is wrong, please go ahead for a PR after
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Takeshi Yamamuro commented on SPARK-24766:
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nit: Can you add `in parquet` in the title? I
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Hyukjin Kwon resolved SPARK-24530.
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Resolution: Fixed
Fix Version/s: 2.3.2
2.4.0
Issue resolved by pull
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holdenk updated SPARK-24780:
Summary: DataFrame.column_name should resolve to a distinct ref (was:
DataFrame.column_name should take
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holdenk updated SPARK-24780:
Description:
If we join a dataframe with another dataframe which has the same column name of
the
holdenk created SPARK-24780:
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Summary: DataFrame.column_name should take into account DataFrame
alias for future joins
Key: SPARK-24780
URL: https://issues.apache.org/jira/browse/SPARK-24780
Project: Spark
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Yuming Wang edited comment on SPARK-24766 at 7/11/18 1:24 AM:
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It works
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Yuming Wang updated SPARK-24766:
Summary: CreateHiveTableAsSelect and InsertIntoHiveDir won't generate
decimal column stats (was:
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Yuming Wang updated SPARK-24766:
Description:
How to reproduce:
{code:java}
INSERT OVERWRITE LOCAL DIRECTORY
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Yuming Wang commented on SPARK-24766:
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It works after upgrade built-in Hive to 2.3.2 and upgrade
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John Vincent Thorpe commented on SPARK-21097:
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Hi Brad,
Great work on implementing this
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Huaxin Gao commented on SPARK-24779:
I will work on this.
> Add sequence / map_concat /
Huaxin Gao created SPARK-24779:
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Summary: Add sequence / map_concat / map_from_entries / an option
in months_between UDF to disable rounding-off
Key: SPARK-24779
URL:
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https://issues.apache.org/jira/browse/SPARK-22658?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16539266#comment-16539266
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Ruslan Dautkhanov commented on SPARK-22658:
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Intel's BigDL is somewhat a TensorFlowOnSpark
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Ruslan Dautkhanov commented on SPARK-22947:
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Oracle has a similar AS OF syntax
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Vinitha Reddy Gankidi commented on SPARK-24778:
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Workaround could be something like:
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Vinitha Reddy Gankidi updated SPARK-24778:
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Description:
{{DateTimeUtils.getTimeZone}} calls java's
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Apache Spark reassigned SPARK-24767:
Assignee: (was: Apache Spark)
> Propagate MDC to spark-submit thread in
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Apache Spark reassigned SPARK-24767:
Assignee: Apache Spark
> Propagate MDC to spark-submit thread in InProcessAppHandle
>
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Apache Spark commented on SPARK-24767:
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User 'yifeih' has created a pull request for this issue:
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Vinitha Reddy Gankidi updated SPARK-24778:
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Description:
{{DateTimeUtils.getTimeZone}} calls java's
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Vinitha Reddy Gankidi updated SPARK-24778:
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Description:
{{DateTimeUtils.getTimeZone}} calls java's
Vinitha Reddy Gankidi created SPARK-24778:
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Summary: DateTimeUtils.getTimeZone method returns GMT time if
timezone cannot be parsed
Key: SPARK-24778
URL: https://issues.apache.org/jira/browse/SPARK-24778
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Nihal Harish resolved SPARK-24765.
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Resolution: Information Provided
Issue is addressed by
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Tathagata Das resolved SPARK-24662.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 21662
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Tathagata Das reassigned SPARK-24662:
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Assignee: Mukul Murthy
> Structured Streaming should support LIMIT
>
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mathieu longtin edited comment on SPARK-24753 at 7/10/18 5:59 PM:
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Gengliang Wang updated SPARK-24776:
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Summary: AVRO unit test: use SQLTestUtils and Replace deprecated methods
(was: Improve
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mathieu longtin commented on SPARK-24753:
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Thanks for the response. Yes, it does work with
Gengliang Wang created SPARK-24776:
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Summary: Improve AVRO unit test: use
Key: SPARK-24776
URL: https://issues.apache.org/jira/browse/SPARK-24776
Project: Spark
Issue Type: Sub-task
Gengliang Wang created SPARK-24777:
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Summary: Refactor AVRO read/write benchmark
Key: SPARK-24777
URL: https://issues.apache.org/jira/browse/SPARK-24777
Project: Spark
Issue Type: Sub-task
Gengliang Wang created SPARK-24775:
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Summary: support reading AVRO logical types - Duration
Key: SPARK-24775
URL: https://issues.apache.org/jira/browse/SPARK-24775
Project: Spark
Issue
Gengliang Wang created SPARK-24774:
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Summary: support reading AVRO logical types - Time with different
precisions
Key: SPARK-24774
URL: https://issues.apache.org/jira/browse/SPARK-24774
Project:
Gengliang Wang created SPARK-24773:
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Summary: support reading AVRO logical types - Timestamp with
different precisions
Key: SPARK-24773
URL: https://issues.apache.org/jira/browse/SPARK-24773
Gengliang Wang created SPARK-24772:
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Summary: support reading AVRO logical types - Decimal
Key: SPARK-24772
URL: https://issues.apache.org/jira/browse/SPARK-24772
Project: Spark
Issue Type:
Gengliang Wang created SPARK-24771:
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Summary: Upgrade AVRO version from 1.7.7 to 1.8
Key: SPARK-24771
URL: https://issues.apache.org/jira/browse/SPARK-24771
Project: Spark
Issue Type:
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Gengliang Wang updated SPARK-24770:
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Summary: Supporting to convert a column into binary of AVRO format (was:
Supporting to
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Gengliang Wang updated SPARK-24769:
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Summary: Support for parsing AVRO binary column (was: Support for parsing
AVRO string
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Apache Spark reassigned SPARK-24768:
Assignee: Apache Spark
> Have a built-in AVRO data source implementation
>
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Apache Spark reassigned SPARK-24768:
Assignee: (was: Apache Spark)
> Have a built-in AVRO data source implementation
>
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Apache Spark commented on SPARK-24768:
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User 'gengliangwang' has created a pull request for this
Gengliang Wang created SPARK-24770:
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Summary: Supporting to convert a column into binary of avro format
Key: SPARK-24770
URL: https://issues.apache.org/jira/browse/SPARK-24770
Project: Spark
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Yinan Li commented on SPARK-24765:
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Check out https://issues.apache.org/jira/browse/SPARK-24434 and
Gengliang Wang created SPARK-24769:
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Summary: Support for parsing AVRO string column
Key: SPARK-24769
URL: https://issues.apache.org/jira/browse/SPARK-24769
Project: Spark
Issue Type:
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Nihal Harish updated SPARK-24765:
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Description:
spark submit currently does not accept any config parameter that can enable the
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Gengliang Wang updated SPARK-24768:
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Attachment: Built-in AVRO Data Source In Spark 2.4.pdf
> Have a built-in AVRO data source
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Gengliang Wang updated SPARK-24768:
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Description: Apache Avro (https://avro.apache.org) is a popular data
serialization format.
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Gengliang Wang updated SPARK-24768:
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Attachment: (was: Design doc-Spark Avro.pdf)
> Have a built-in AVRO data source
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Gengliang Wang updated SPARK-24768:
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Attachment: Design doc-Spark Avro.pdf
> Have a built-in AVRO data source implementation
>
Gengliang Wang created SPARK-24768:
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Summary: Have a built-in AVRO data source implementation
Key: SPARK-24768
URL: https://issues.apache.org/jira/browse/SPARK-24768
Project: Spark
Issue
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Bryan Cutler edited comment on SPARK-24760 at 7/10/18 4:48 PM:
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Pandas
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Bryan Cutler commented on SPARK-24760:
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Pandas uses NaNs as a special value that it interprets as a
Yifei Huang created SPARK-24767:
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Summary: Propagate MDC to spark-submit thread in InProcessAppHandle
Key: SPARK-24767
URL: https://issues.apache.org/jira/browse/SPARK-24767
Project: Spark
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wangsan resolved SPARK-22503.
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Resolution: Not A Problem
> Using current processing time to generate windows in streaming processing
>
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Yuming Wang updated SPARK-24766:
Description:
How to reproduce:
{code:java}
INSERT OVERWRITE LOCAL DIRECTORY
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Yuming Wang updated SPARK-24766:
Description:
How to reproduce:
{code:java}
INSERT OVERWRITE LOCAL DIRECTORY
Yuming Wang created SPARK-24766:
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Summary: CreateHiveTableAsSelectCommand and
InsertIntoHiveDirCommand won't generate decimal column stats
Key: SPARK-24766
URL: https://issues.apache.org/jira/browse/SPARK-24766
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https://issues.apache.org/jira/browse/SPARK-24687?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16538576#comment-16538576
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Apache Spark commented on SPARK-24687:
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User 'caneGuy' has created a pull request for this issue:
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Apache Spark reassigned SPARK-24687:
Assignee: (was: Apache Spark)
> When NoClassDefError thrown during task
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Apache Spark reassigned SPARK-24687:
Assignee: Apache Spark
> When NoClassDefError thrown during task serialization will
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dzcxzl updated SPARK-24677:
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Summary: Avoid NoSuchElementException from MedianHeap (was: MedianHeap is
empty when speculation is
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Saisai Shao reassigned SPARK-24678:
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Assignee: sharkd tu
> We should use 'PROCESS_LOCAL' first for Spark-Streaming
>
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Saisai Shao resolved SPARK-24678.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21658
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Apache Spark reassigned SPARK-24268:
Assignee: Marco Gaido (was: Apache Spark)
> DataType in error messages are not coherent
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Apache Spark reassigned SPARK-24268:
Assignee: Apache Spark (was: Marco Gaido)
> DataType in error messages are not coherent
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Marco Gaido updated SPARK-24268:
Description:
In SPARK-22893 there was a tentative to unify the way dataTypes are reported in
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Marco Gaido updated SPARK-24268:
Description:
In SPARK-22893 there was a tentative to unify the way dataTypes are reported in
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Marco Gaido updated SPARK-24268:
Description:
In SPARK-22893 there was a tentative to unify the way dataTypes are reported in
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Igor Pergenitsa commented on SPARK-24745:
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{quote}you can still set the name also on the RDD you
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Apache Spark reassigned SPARK-24268:
Assignee: Apache Spark (was: Marco Gaido)
> DataType in error messages are not coherent
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Apache Spark reassigned SPARK-24268:
Assignee: Marco Gaido (was: Apache Spark)
> DataType in error messages are not coherent
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Marco Gaido commented on SPARK-24745:
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A RDD already has a unique ID. I think the name is just
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Mortada Mehyar commented on SPARK-24760:
I still think something is not right here. It is true
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Wenchen Fan resolved SPARK-24706.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21682
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Hyukjin Kwon commented on SPARK-15613:
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This seems merged into 1.6.3 and reverted in 1.6.2. I
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Hyukjin Kwon updated SPARK-15613:
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Fix Version/s: (was: 1.6.2)
1.6.3
> Incorrect days to millis conversion
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Igor Pergenitsa commented on SPARK-24745:
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[~mgaido], yes, I agree but on other hand the name
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https://issues.apache.org/jira/browse/SPARK-24718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16538118#comment-16538118
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Apache Spark commented on SPARK-24718:
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User 'wangyum' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-24718?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24718:
Assignee: Apache Spark
> Timestamp support pushdown to parquet data source
>
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https://issues.apache.org/jira/browse/SPARK-24718?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24718:
Assignee: (was: Apache Spark)
> Timestamp support pushdown to parquet data source
>
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https://issues.apache.org/jira/browse/SPARK-24268?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-24268:
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Fix Version/s: (was: 2.4.0)
> DataType in error messages are not coherent
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https://issues.apache.org/jira/browse/SPARK-24268?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-24268:
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Priority: Minor (was: Trivial)
> DataType in error messages are not coherent
>
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Hyukjin Kwon reopened SPARK-24268:
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> DataType in error messages are not coherent
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