[GitHub] spark issue #22597: [SPARK-25579][SQL] Use quoted attribute names if needed ...

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2018-10-16 Thread cloud-fan
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2018-10-14 Thread SparkQA
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2018-10-14 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/22597 > I haven't looked into, but the parquet record-level filtering is disabled by default, so if we remove predicates from spark side, the result can be wrong even if the predicates are pushed ro

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2018-10-12 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/22597 > In ParquetFilter, the way we test if a predicate pushdown works is by removing that predicate from Spark SQL physical plan, and only relying on the reader to do the filter. I haven't

[GitHub] spark issue #22597: [SPARK-25579][SQL] Use quoted attribute names if needed ...

2018-10-12 Thread SparkQA
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2018-10-12 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/22597 Thanks. I got it. You mean `stripSparkFilter` which is used in both `OrcQuerySuite.scala` and `ParquetFilterSuite.scala`. Sure! ---

[GitHub] spark issue #22597: [SPARK-25579][SQL] Use quoted attribute names if needed ...

2018-10-12 Thread dbtsai
Github user dbtsai commented on the issue: https://github.com/apache/spark/pull/22597 In `ParquetFilter`, the way we test if a predicate pushdown works is by removing that predicate from Spark SQL physical plan, and only relying on the reader to do the filter. Thus, if there is a bug

[GitHub] spark issue #22597: [SPARK-25579][SQL] Use quoted attribute names if needed ...

2018-10-12 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/22597 Thank you for review, @dbtsai and @gatorsmile . BTW, what do you mean by removing? The pushed filter doesn't introduce correctness issue like Parquet. Since it's a performance

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2018-10-12 Thread gatorsmile
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2018-10-12 Thread dbtsai
Github user dbtsai commented on the issue: https://github.com/apache/spark/pull/22597 Is it possible to add tests like parquet to remove the filter in Spark SQL to ensure that the predicate is pushed down to the reader? Thanks. ---

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