Github user jodersky commented on the issue:
https://github.com/apache/spark/pull/15398
I understand your comment about the weird escaping behaviour, @mengxr.
Putting myself into the shoes of a new user, I would be least surprised if
Spark were to treat the String verbatim (as in "anything after a backslash is
treated literally") or give me an error and tell me that my escape sequence
doesn't make sense. Changing the parsing of the escape character based on what
follows also makes the code more complicated.
However, I also understand the high priority of making migration from Hive
to Spark SQL most straightforward. Therefore, I concluded that existing queries
should behave the same, and reimplemented Hive's 'like' pattern matching. Maybe
this wasn't the right trade-off for non Hive users?
I was unable to find any docs that detail the escaping behaviour in the
scenarios mentioned above, however I basically followed the implementation
thanks to the [link Simon
provided](https://github.com/apache/hive/blob/ff67cdda1c538dc65087878eeba3e165cf3230f4/ql/src/java/org/apache/hadoop/hive/ql/udf/UDFLike.java#L64).
@rxin, do you think this case warrants diverging from Hive?
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