[jira] [Created] (SPARK-33677) LikeSimplification should be skipped if escape is a wildcard character

["Lu Lu (Jira)" <ji...@apache.org>]

Lu Lu created SPARK-33677:
-----------------------------

             Summary: LikeSimplification should be skipped if escape is a wildcard character
                 Key: SPARK-33677
                 URL: https://issues.apache.org/jira/browse/SPARK-33677
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 3.0.1
            Reporter: Lu Lu
            Assignee: Lu Lu
             Fix For: 3.1.0


In ANSI mode, schema string parsing should fail if the schema uses ANSI reserved keyword as attribute name:
{code:scala}
spark.conf.set("spark.sql.ansi.enabled", "true")
spark.sql("""select from_json('{"time":"26/10/2015"}', 'time Timestamp', map('timestampFormat', 'dd/MM/yyyy'));""").show


output:

Cannot parse the data type: 
no viable alternative at input 'time'(line 1, pos 0)

== SQL ==
time Timestamp
^^^
{code}

But this query may accidentally succeed in certain cases cause the DataType parser sticks to the configs of the first created session in the current thread:

{code:scala}
DataType.fromDDL("time Timestamp")
val newSpark = spark.newSession()
newSpark.conf.set("spark.sql.ansi.enabled", "true")
newSpark.sql("""select from_json('{"time":"26/10/2015"}', 'time Timestamp', map('timestampFormat', 'dd/MM/yyyy'));""").show


output:

+--------------------------------+
|from_json({"time":"26/10/2015"})|
+--------------------------------+
|            {2015-10-26 00:00...|
+--------------------------------+
{code}



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