Github user gatorsmile commented on the pull request:
https://github.com/apache/spark/pull/11415#issuecomment-189781029
So far, if we use backticks, analyzer is unable to process it. When we
parse the plan, we did not remove the backticks. In `CatalystQl`, we clean the
backticks for all the attribute/alias names if users use it.
Before the PR fix, we do not clean backticks. The name of
`attributeReference` is \`thing1\`. When analyzing the node `Project`, Analyzer
is unable to find it (i.e., `thing1`) from the child's output, in which the
column name is \`thing1\` instead of `thing1`, and thus, report the following
error:
```
cannot resolve '`thing1`' given input columns: [`thing1`, thing2]; line 3
pos 7
```
The error message is pretty confusing. This message is issued from
```scala
a.failAnalysis(s"cannot resolve '${a.sql}' given input columns:
[$from]")
```
The backstick in the first '\`thing1\`' is added by the function call
`a.sql`. The backstick in the second '\`thing1\`' is part of the name. Thus,
they look the same, but they are different in our plan.
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