GitHub user chenghao-intel opened a pull request:
https://github.com/apache/spark/pull/8916
[SPARK-10829][SQL]Filter combine partition key and attribute doesn't work
in DataSource scan
```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
```
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/chenghao-intel/spark partition_filter
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/8916.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #8916
----
commit 1c0ba50edc2ea6c09af634ede4068bd9879abff0
Author: Cheng Hao <[email protected]>
Date: 2015-09-25T05:51:32Z
Scan DataSource with predicate expression combine partition key and
attributes doesn't work
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