GitHub user watermen opened a pull request:
https://github.com/apache/spark/pull/13321
[SPARK-15549][SQL] Bucket column only need to be found in the output of
relation when use bucketed table
## What changes were proposed in this pull request?
I create a bucketed table test(i int, j int, k int) with bucket column i,
```scala
case class Data(i: Int, j: Int, k: Int)
sc.makeRDD(Array((1, 2, 3))).map(x => Data(x._1, x._2,
x._3)).toDF.write.bucketBy(2, "i").saveAsTable("test")
```
and I run the following SQL:
```sql
SELECT j FROM test;
Error in query: bucket column i not found in existing columns (j);
SELECT j, MAX(k) FROM test GROUP BY j;
Error in query: bucket column i not found in existing columns (j, k);
```
I think the bucket column only need to be found in the output of relation.
So the 2 sqls bellow should be executed right.
## How was this patch tested?
Updated test cases to reflect the changes.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/watermen/spark SPARK-15549
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13321.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 #13321
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