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https://issues.apache.org/jira/browse/SPARK-33677?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lu Lu updated SPARK-33677:
--------------------------
Description:
Spark SQL should throw exceptions when pattern string is invalid:
{code:sql}
SELECT a LIKE 'm%aca' ESCAPE '%' from t;
{code}
was:
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}
> 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
>
> Spark SQL should throw exceptions when pattern string is invalid:
> {code:sql}
> SELECT a LIKE 'm%aca' ESCAPE '%' from t;
> {code}
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