GitHub user maropu opened a pull request:
https://github.com/apache/spark/pull/18375
[SPARK-21144][SQL] Check if the data schema and partition schema have the
duplicate columns
## What changes were proposed in this pull request?
The current master outputs unexpected results when the data schema and
partition schema have the duplicate columns:
```
withTempPath { dir =>
val basePath = dir.getCanonicalPath
spark.range(0, 3).toDF("foo").write.parquet(new Path(basePath,
"foo=1").toString)
spark.range(0, 3).toDF("foo").write.parquet(new Path(basePath,
"foo=a").toString)
spark.read.parquet(basePath).show()
}
+---+
|foo|
+---+
| 1|
| 1|
| a|
| a|
| 1|
| a|
+---+
```
This patch added code to check the duplication in `DataSource`.
## How was this patch tested?
Added tests in `DataFrameReaderWriterSuite`.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/maropu/spark SPARK-21144-3
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18375.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 #18375
----
commit c6cd4943e8fc025cb1422a1ffe8baaf112b2dfbb
Author: Takeshi Yamamuro <[email protected]>
Date: 2017-06-21T10:08:38Z
Fails when the data schema and partition schema have the duplicate columns
commit d5c7d081efaeda737cd079063872a2c9a97bd071
Author: Takeshi Yamamuro <[email protected]>
Date: 2017-06-21T10:33:04Z
[WIP] Need to modify existing tests?
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