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https://issues.apache.org/jira/browse/SPARK-25648?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16639998#comment-16639998
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Dongjoon Hyun edited comment on SPARK-25648 at 10/5/18 4:04 PM:
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Thank you for reporting, [~justinnju].
How about Parquet result? Since Spark's default data source is Parquet, we had
better compare with Parquet. Spark `hive` ORC is more similar to Apache Hive,
Spark `native ORC is more similar to Spark's default data source.
was (Author: dongjoon):
Thank you for reporting, [~justinnju].
How about Parquet result? Since Spark's default data source is Parquet, we had
better compare with Parquet.
> Spark 2.3.1 reads orc format files with native and hive, and return
> different results
> --------------------------------------------------------------------------------------
>
> Key: SPARK-25648
> URL: https://issues.apache.org/jira/browse/SPARK-25648
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.1
> Reporter: Jun Zheng
> Priority: Major
>
> Hi All
> I am testing TPCx-BB[link title|www.tpc.org/tpcx-bb/default.asp] with the
> code from
> [https://github.com/BigData-Lab-Frankfurt/Big-Data-Benchmark-for-Big-Bench,]
> # The test data are loaded by spark-sql, the parameter
> _spark_.sql._orc_.impl sets to native;
> # During the engine validation power test, when use the different read
> engines that is set _spark_.sql._orc_.impl = hive or _spark_.sql._orc_.impl =
> native, the q22 return different results. When set to hive, the result is
> right, but set to native, less results are returned. Can someone help to find
> why it happens.
> Thanks in advance
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