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apache/spark Public
Apache Spark - A unified analytics engine for large-scale data processing
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1,172 contributions in the last year
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Contribution activity
March 2022
Created 9 commits in 1 repository
Created a pull request in apache/spark that received 10 comments
[SPARK-38437][SQL] Lenient serialization of datetime from datasource
What changes were proposed in this pull request? In the PR, I propose to support the lenient mode by the row serializer used by datasources to conv…
+144
−21
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10
comments
Opened 11 other pull requests in 1 repository
apache/spark
11
closed
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[SPARK-38600][SQL] Include
unitinto the sql string ofTIMESTAMPADD/DIFF - [SPARK-38566][SQL][3.3] Revert the parser changes for DEFAULT column support
- [SPARK-38572][BUILD] Setting version to 3.4.0-SNAPSHOT
- [SPARK-38567][INFRA][3.3] Enable GitHub Action build_and_test on branch-3.3
- [SPARK-38566][SQL][3.3] Revert the parser changes for DEFAULT column support
- [SPARK-38523][SQL][3.2] Fix referring to the corrupt record column from CSV
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[SPARK-38535][SQL] Add the
datetimeUnitenum and use it inTIMESTAMPADD/DIFF - [SPARK-38523][SQL] Fix referring to the corrupt record column from CSV
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[SPARK-38509][SQL] Unregister the
TIMESTAMPADD/DIFFfunctions and removeDATE_ADD/DIFF -
[SPARK-38481][SQL] Substitute Java overflow exception from
TIMESTAMPADDby Spark exception -
[SPARK-38389][SQL] Add the
DATEDIFF()andDATE_DIFF()aliases forTIMESTAMPDIFF()
Reviewed 11 pull requests in 1 repository
apache/spark
11 pull requests
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[SPARK-38509][SQL] Unregister the
TIMESTAMPADD/DIFFfunctions and removeDATE_ADD/DIFF - [SPARK-38586][INFRA] Trigger notifying workflow in branch-3.3 and other future branches
- [SPARK-38106][SQL] Use error classes in the parsing errors of functions
- [SPARK-38103][SQL] Migrate parsing errors of transform into the new error framework
- [SPARK-38504][SQL] Cannot read TimestampNTZ as TimestampLTZ
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[SPARK-38534][SQL][TESTS] Disable
to_timestamp('366', 'DD')test case - [SPARK-38107][SQL] Use error classes in the compilation errors of python/pandas UDFs
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[SPARK-38481][SQL] Substitute Java overflow exception from
TIMESTAMPADDby Spark exception - [SPARK-38112][SQL] Use error classes in the execution errors of date/timestamp handling
- [SPARK-38104][SQL] Migrate parsing errors of window into the new error framework
- [SPARK-37982] Use error classes in the execution errors related to unsupported input type
19
contributions
in private repositories
Mar 1 – Mar 19

