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

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

     [ https://issues.apache.org/jira/browse/SPARK-33677?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Lu Lu updated SPARK-33677:
--------------------------
        Fix Version/s:     (was: 3.1.0)
    Affects Version/s:     (was: 3.0.1)
                       3.1.0

> 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: 3.1.0
>            Reporter: Lu Lu
>            Assignee: Lu Lu
>            Priority: Major
>
> 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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