1baaf2b9bd
```scala withSQLConf(SQLConf.PARQUET_FILTER_PUSHDOWN_ENABLED.key -> "true") { withTempPath { dir => val path = s"${dir.getCanonicalPath}/part=1" (1 to 3).map(i => (i, i.toString)).toDF("a", "b").write.parquet(path) // If the "part = 1" filter gets pushed down, this query will throw an exception since // "part" is not a valid column in the actual Parquet file checkAnswer( sqlContext.read.parquet(path).filter("a > 0 and (part = 0 or a > 1)"), (2 to 3).map(i => Row(i, i.toString, 1))) } } ``` We expect the result to be: ``` 2,1 3,1 ``` But got ``` 1,1 2,1 3,1 ``` Author: Cheng Hao <hao.cheng@intel.com> Closes #8916 from chenghao-intel/partition_filter. |
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java/org/apache/spark/sql | ||
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scala/org/apache/spark/sql |