GitHub user dongjoon-hyun opened a pull request:
https://github.com/apache/spark/pull/14546
[SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP BY causes an
analysis error
## What changes were proposed in this pull request?
Spark supports `ordinal` in GROUP BY and ORDER BY. However, if we use both
at the same time, it causes exceptions. This PR fixes
`ResolveAggregateFunctions` rule to handle ordinals, too.
```scala
scala> sql("select a, count(*) from (select 1 as a) tmp group by 1 order by
1")
org.apache.spark.sql.catalyst.analysis.UnresolvedException: Invalid call to
Group by position: `1` exceeds the size of the select list `0`
```
## How was this patch tested?
Pass the Jenkins with new test cases.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/dongjoon-hyun/spark SPARK-16955-ORDINAL
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14546.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 #14546
----
commit 12f24dc6ab5e32d78f770841176a0a58ecdb3e3f
Author: Dongjoon Hyun <dongj...@apache.org>
Date: 2016-08-08T21:40:53Z
[SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP BY causes an
analysis error
----
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