Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/9040
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Github user davies commented on the pull request:
https://github.com/apache/spark/pull/9040#issuecomment-147466490
It's good to have this, merged into master.
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Github user davies commented on the pull request:
https://github.com/apache/spark/pull/9040#issuecomment-146961673
LGTM. Have you benchmark the difference? Since it's not that expensive to
create a Decimal from Long, I'm just curious how much we can gain from this.
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Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/9040#issuecomment-146974600
@davies I am doing benchmark for this one. At first I was hoping to see
noticeable performance gain for binary backed decimals, but later I found that
`PARQUET_1_0`
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/9040#issuecomment-146718007
Merged build started.
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/9040#issuecomment-146717980
Merged build triggered.
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GitHub user liancheng opened a pull request:
https://github.com/apache/spark/pull/9040
[SPARK-11007] [SQL] Adds dictionary aware Parquet decimal converters
For Parquet decimal columns that are encoded using plain-dictionary
encoding, we can make the upper level converter aware of
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/9040#issuecomment-146732928
Test PASSed.
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/9040#issuecomment-146732725
[Test build #43443 has
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/9040#issuecomment-146718396
[Test build #43443 has
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/9040#issuecomment-146732926
Merged build finished. Test PASSed.
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