Dooyoung-Hwang opened a new pull request #35465:
URL: https://github.com/apache/spark/pull/35465
### What changes were proposed in this pull request?
Currently, LikeSimplification rule is skipped if the pattern in LIKE filter
contains an escape character.
Thus, the filter "LIKE '%100\\%'" in this query is not optimized into
'EndsWith' of StringType.
```
spark.sql("SELECT * FROM tbl LIKE '%100\\%'").explain(true)
...
== Optimized Logical Plan ==
Filter (isnotnull(c_1#0) && c_1#0 LIKE %100\%)
+- Relation[c_1#0,c_2#1,c_3#2]
...
```
LikeSimplification rule can consider a special character(wildcard(%, _) or
escape character) as a plain character if the special character follows an
escape character. By doing that, LikeSimplification rule can optimize the
filter like below.
```
spark.sql("SELECT * FROM tbl LIKE '%100\\%'").explain(true)
...
== Optimized Logical Plan ==
Filter (isnotnull(c_1#0) && EndsWith(c_1#0, 100%))
+- Relation[c_1#0,c_2#1,c_3#2]
```
### Why are the changes needed?
To enhance performance of processing LIKE filters such as "LIKE '%100\\%'",
"LIKE '\\%100\\%'", "LIKE '%\\%100\\%%'", "LIKE '100\\%%'", "LIKE
'100\\%%90\\%'"
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
Test suites are added in LikeSimplificationSuite.
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