Github user squito commented on the issue:
https://github.com/apache/spark/pull/17631
this doesn't seem safe in general. spark treats quotes as a valid part of
the name, eg:
```scala
scala> val df = sc.parallelize(1 to 10).map { x => (x, (x + 1).toLong, (x -
1).toString)}.toDF("foo", "\"foo\"", "\"foo")
scala> df.select("\"foo")
res15: org.apache.spark.sql.DataFrame = ["foo: string]
```
you could have conflicts if you removed the quotes (though I admit it would
be pretty weird). And then there are cases like only one quote, mismatched,
etc., do you want to strip them all?
I'm not really sure what Spark can do about this, but also not my area of
expertise so I will defer to others.
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