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Thank you for your detailed explanation. Please copy some of them into the
PR description. The PR description
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iRakson commented on issue #28167: [SPARK-31106][SQL] Support is_json function
URL: https://github.com/apache/spark/pull/28167#issuecomment-611879823
> @iRakson Could you provide the links?
>
> * MySQL
> * SQL Server
> * IBM Db2
> * Sqlite
> * MariaDB
> * Amazon
gatorsmile commented on issue #28163: [SPARK-31359][SQL][3.0] Speed up
timestamps rebasing
URL: https://github.com/apache/spark/pull/28163#issuecomment-611878265
We need explicitly say the reason why we need it is for fixing the
regression instead of making it faster. Is my understanding
MaxGekk commented on issue #28169: [SPARK-31398][SQL][test-hive1.2] Speed up
reading dates in ORC
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> Can you check the benchmark numbers with Spark 2.4? Just want to see how
much perf regression we have in 3.0 after
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bin/spark-shell --driver-memory=2G
testcodes:
```
import
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Thank you for review and approval, @HyukjinKwon .
Since this PR is irrelevant to the Jenkins UT, I'll merge
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Thank you for reviewing and merging, @HyukjinKwon !
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URL: https://github.com/apache/spark/pull/28175#issuecomment-611872533
can you put the before/after screenshots?
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retest this please
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PerilousApricot commented on issue #28159: [WIP][SPARK-31363][SQL] Add
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URL: https://github.com/apache/spark/pull/28159#issuecomment-611871616
I did a POC with Spark2.4 as well, which can be found at
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URL: https://github.com/apache/spark/pull/28167#issuecomment-611870941
@iRakson Could you provide the links?
- MySQL
- SQL Server
- IBM Db2
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- MariaDB
- Amazon Redshift
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cloud-fan commented on issue #28169: [SPARK-31398][SQL][test-hive1.2] Speed up
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LGTM. Can you check the benchmark numbers with Spark 2.4? Just want to see
how much perf regression we have in 3.0
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AmplabJenkins commented on issue #28158: [SPARK-25154][SQL] Support NOT IN
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URL: https://github.com/apache/spark/pull/28158#issuecomment-611867523
Merged build finished. Test PASSed.
AmplabJenkins removed a comment on issue #28176: [SPARK-31301][ML] flatten the
result dataframe of tests in testChiSquare
URL: https://github.com/apache/spark/pull/28176#issuecomment-611867466
Merged build finished. Test PASSed.
AmplabJenkins commented on issue #28176: [SPARK-31301][ML] flatten the result
dataframe of tests in testChiSquare
URL: https://github.com/apache/spark/pull/28176#issuecomment-611867466
Merged build finished. Test PASSed.
AmplabJenkins removed a comment on issue #28176: [SPARK-31301][ML] flatten the
result dataframe of tests in testChiSquare
URL: https://github.com/apache/spark/pull/28176#issuecomment-611867467
Test PASSed.
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