GitHub user HyukjinKwon opened a pull request:
https://github.com/apache/spark/pull/16882
[SPARK-19544][SQL] Improve error message when some column types are
compatible and others are not in set/union operations
## What changes were proposed in this pull request?
This PR proposes to fix the error message when some data types are
compatible and others are not in set/union operation.
```scala
Seq((1,("a", 1))).toDF.union(Seq((1L,("a", "b"))).toDF)
```
**Before**
```
Union can only be performed on tables with the compatible column types.
LongType <> IntegerType at the first column of the second table;;
```
**After**
```
Union can only be performed on tables with the compatible column types.
StructType(StructField(_1,StringType,true),
StructField(_2,StringType,true)) <> StructType(StructField(_1,StringType,true),
StructField(_2,IntegerType,false)) at the second column of the second table;;
```
## How was this patch tested?
Unit tests in `AnalysisErrorSuite` and manual tests.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/HyukjinKwon/spark SPARK-19544
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/16882.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 #16882
----
commit 07e698415bb6a48e60cd2359cd9d412c2f61e48b
Author: hyukjinkwon <[email protected]>
Date: 2017-02-10T05:01:16Z
Improve error message when some column types are compatible and others are
not in set/union operations
----
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