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Hyukjin Kwon resolved SPARK-28652.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 25411
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Hyukjin Kwon reassigned SPARK-28652:
Assignee: Liang-Chi Hsieh
> spark.kubernetes.pyspark.pythonVersion is never passed to
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Hyukjin Kwon commented on SPARK-28689:
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For questions, let's ask to mailing list. You will have a
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Hyukjin Kwon resolved SPARK-28689.
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Resolution: Invalid
> Unable to successfully issue spark sql code
>
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Hyukjin Kwon updated SPARK-28689:
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Target Version/s: (was: 2.4.3)
> Unable to successfully issue spark sql code
>
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Dongjoon Hyun updated SPARK-28683:
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Description:
*Note that we tested 2.12.9 via https://github.com/apache/spark/pull/25404 and
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Dongjoon Hyun updated SPARK-28683:
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Description:
**Note that we tested 2.12.9 and found that 2.12.9 has a serious bug,
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Dongjoon Hyun commented on SPARK-28683:
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[~yumwang]. Let's reuse this issue for Scala 2.12.10.
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Dongjoon Hyun reopened SPARK-28683:
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> Upgrade Scala to 2.12.9
> ---
>
> Key: SPARK-28683
>
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Dongjoon Hyun updated SPARK-28683:
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Summary: Upgrade Scala to 2.12.10 (was: Upgrade Scala to 2.12.9)
> Upgrade Scala to 2.12.10
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Hyukjin Kwon commented on SPARK-28652:
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+1 for [~viirya]'s judgement here.
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hong dongdong updated SPARK-28691:
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Description:
Now, DirectKafkaWordCount example is not support to visit kafka using kerberos
hong dongdong created SPARK-28691:
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Summary: Examples of streaming support kafka with kerberos
Key: SPARK-28691
URL: https://issues.apache.org/jira/browse/SPARK-28691
Project: Spark
Issue
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Yuming Wang resolved SPARK-28683.
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Resolution: Won't Fix
> Upgrade Scala to 2.12.9
> ---
>
>
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Yuming Wang commented on SPARK-28683:
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Let's wait for 2.12.10 since
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Yuming Wang updated SPARK-28688:
Summary: Incompatible java.util.ArrayList (was: incompatible
java.util.ArrayList)
>
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Liang-Chi Hsieh updated SPARK-28652:
Priority: Minor (was: Major)
> spark.kubernetes.pyspark.pythonVersion is never passed to
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Liang-Chi Hsieh updated SPARK-28652:
Issue Type: Test (was: Bug)
> spark.kubernetes.pyspark.pythonVersion is never passed to
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Liang-Chi Hsieh commented on SPARK-28652:
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As existing tests don't explicitly check the Python
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Liang-Chi Hsieh commented on SPARK-28652:
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This looks interesting to me. I tried to look into
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Maxim Gekk updated SPARK-28420:
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Description:
||Function||Return Type||Description||Example||Result||
|{{date_part(}}{{text}}{{,
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Maxim Gekk updated SPARK-28420:
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Summary: Date/Time Functions: date_part for intervals (was: Date/Time
Functions: date_part)
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Maxim Gekk updated SPARK-28690:
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Description:
||Function||Return Type||Description||Example||Result||
|{{date_part(}}{{text}}{{,
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Maxim Gekk updated SPARK-28690:
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Summary: Date/Time Functions: date_part for timestamps (was: Date/Time
Functions: date_part for
Maxim Gekk created SPARK-28690:
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Summary: Date/Time Functions: date_part for intervals
Key: SPARK-28690
URL: https://issues.apache.org/jira/browse/SPARK-28690
Project: Spark
Issue Type:
CARLTON PATTERSON created SPARK-28689:
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Summary: Unable to successfully issue spark sql code
Key: SPARK-28689
URL: https://issues.apache.org/jira/browse/SPARK-28689
Project: Spark
Issue
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Yuming Wang updated SPARK-28688:
Description:
{{2 TESTS FAILED}} from {{org.apache.spark.sql.hive.client.VersionsSuite}}
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Yuming Wang updated SPARK-28688:
Attachment: screenshot-2.png
> incompatible java.util.ArrayList
>
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Yuming Wang updated SPARK-28688:
Attachment: screenshot-1.png
> incompatible java.util.ArrayList
>
Yuming Wang created SPARK-28688:
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Summary: incompatible java.util.ArrayList
Key: SPARK-28688
URL: https://issues.apache.org/jira/browse/SPARK-28688
Project: Spark
Issue Type: Sub-task
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Maxim Gekk updated SPARK-28687:
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Description:
Currently, we support these field for EXTRACT: CENTURY, MILLENNIUM, DECADE,
YEAR,
Maxim Gekk created SPARK-28687:
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Summary: Support `epoch`, `isoyear`, `milliseconds` and
`microseconds` at `extract()`
Key: SPARK-28687
URL: https://issues.apache.org/jira/browse/SPARK-28687
Project:
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Yuming Wang updated SPARK-28686:
Description:
{{- udf_radians *** FAILED *** (1 second, 791 milliseconds)}} from
Yuming Wang created SPARK-28686:
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Summary: Higher precision in Math.toRadians from JDK 11
Key: SPARK-28686
URL: https://issues.apache.org/jira/browse/SPARK-28686
Project: Spark
Issue Type:
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Sean Owen resolved SPARK-28639.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 25370
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Sean Owen updated SPARK-28639:
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Priority: Minor (was: Major)
> Configuration doc for Barrier Execution Mode
>
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Shivu Sondur commented on SPARK-28680:
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[~ch...@buildlackey.com]
This is not duplicate code, it is
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