GitHub user maropu opened a pull request:
https://github.com/apache/spark/pull/18356
[SPARK-21144][SQL][BRANCH-2.2] Check column name duplication in read/write
paths
## What changes were proposed in this pull request?
This pr fixed 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 name duplication when reading from/writing
to files. This comes from #17758 to fix this issue for v2.2.
## How was this patch tested?
Created a new test suite `SchemaUtilsSuite` and added tests in existing
suites: `DataFrameSuite`, `DDLSuite`, `JDBCWriteSuite`,
`DataFrameReaderWriterSuite`, `HiveMetastoreCatalog`, and `HiveDDLSuite`.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/maropu/spark SPARK-21144-2
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18356.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 #18356
----
commit 32f0130714f41bc8e0d10b5f309905734274415a
Author: Takeshi Yamamuro <yamam...@apache.org>
Date: 2017-04-25T05:24:48Z
Add code to check column name duplication
----
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