GitHub user maropu opened a pull request:
https://github.com/apache/spark/pull/16565
[SPARK-17237][SQL] Remove backticks in a pivot result schema
## What changes were proposed in this pull request?
Pivoting adds backticks (e.g. 3_count(\`c\`)) in column names and, in some
cases,
thes causes analysis exceptions like;
```
scala> val df = Seq((2, 3, 4), (3, 4, 5)).toDF("a", "x", "y")
scala> df.groupBy("a").pivot("x").agg(count("y"), avg("y")).na.fill(0)
org.apache.spark.sql.AnalysisException: syntax error in attribute name:
`3_count(`y`)`;
at
org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute$.e$1(unresolved.scala:134)
at
org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute$.parseAttributeName(unresolved.scala:144)
...
```
So, this pr proposes to remove these backticks from column names.
This is a backport pr coming from #14812.
## How was this patch tested?
Added a test in `DataFrameAggregateSuite`.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/maropu/spark SPARK-17237-3
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/16565.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 #16565
----
commit 875e2c07a66ac9c0c1d4ab111870209f80d5410c
Author: Takeshi YAMAMURO <linguin....@gmail.com>
Date: 2016-08-25T19:17:50Z
Fix a bug to handle missing data after pivoting
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