Github user dongjoon-hyun commented on the issue:
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Thank you so much, @gatorsmile . I will proceed.
Also, thank you, @viirya and @maropu .
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Github user gatorsmile commented on the issue:
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Thanks! Merged to master.
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Github user gatorsmile commented on the issue:
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retest this please
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@dongjoon-hyun Could you submit a PR to use the latest
Decimal64ColumnVector like what Hive does
https://issues.apache.org/jira/browse/HIVE-19629 ?
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Github user dongjoon-hyun commented on the issue:
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@gatorsmile . We don't use the new feature here (in Spark) yet. This is a
BUILD PR. The result comes from official ORC DecimalBench code in ORC-386
(which I mentioned.) We can get the benefit
Github user gatorsmile commented on the issue:
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@dongjoon-hyun Could you give how the benchmark works? What is the workload
pattern? How does the benchmark invoke Spark?
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Github user dongjoon-hyun commented on the issue:
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@gatorsmile . [ORC-386](https://github.com/apache/orc/pull/290) is not
merged yet, but I've got the following from Hive's `DecimalBench`. For Spark
side, we can proceed after this BUILD PR.
Github user dongjoon-hyun commented on the issue:
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@gatorsmile . For benchmark, ORC community is officially working on
[ORC-386](https://github.com/apache/orc/pull/290). After it's finalized, I'll
try to share you based on that.
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Github user gatorsmile commented on the issue:
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> ORC-344 Support for using Decimal64ColumnVector
This can achieve better perf number? Could you share the perf gain?
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Github user dongjoon-hyun commented on the issue:
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It occurs when we uses `classifier`. This PR uses `nohive` classifier for
`orc-core`. If you try the above commands on this PR, the build fails for `sbt`
only.
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Github user viirya commented on the issue:
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@dongjoon-hyun What error you see, I can run the build with sbt without
problem.
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@dbtsai . This seems to be another difference due to recent build system
changes.
- build/mvn -Phive clean package -DskipTests (Build Success)
- build/sbt -Phive clean package (Build
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