GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/9462
[SPARK-10656][SQL] completely support special chars in DataFrame
the main problem is: we interpret column name with special handling of `.`
for DataFrame. This enables us to write something like `df("a.b")` to get the
field `b` of `a`. However, we don't need this feature in `DataFrame.apply("*")`
or `DataFrame.withColumnRenamed`. In these 2 cases, the column name is the
final name already, we don't need extra process to interpret it.
The solution is simple, use `queryExecution.analyzed.output` to get
resolved column directly, instead of using `DataFrame.resolve`.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/cloud-fan/spark special-chars
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/9462.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 #9462
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commit 2f160a93cf09441c3574da76286f569f8fb52663
Author: Wenchen Fan <[email protected]>
Date: 2015-11-04T08:58:47Z
completely support special chars in DataFrame
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