format config name

Author: Ngone51

docs/sql-migration-guide.md

@@ -95,7 +95,7 @@ license: |
 
   - Since Spark 3.0, if `hive.default.fileformat` is not found in `Spark SQL configuration` then it will fallback to hive-site.xml present in the `Hadoop configuration` of `SparkContext`.
 
-  - Since Spark 3.0, Spark will cast `String` to `Date/TimeStamp` in binary comparisons with dates/timestamps. The previous behaviour of casting `Date/Timestamp` to `String` can be restored by setting `spark.sql.legacy.typeCoercion.datetimeToString` to `true`.
+  - Since Spark 3.0, Spark will cast `String` to `Date/TimeStamp` in binary comparisons with dates/timestamps. The previous behaviour of casting `Date/Timestamp` to `String` can be restored by setting `spark.sql.legacy.typeCoercion.datetimeToString.enabled` to `true`.
 
   - Since Spark 3.0, when Avro files are written with user provided schema, the fields will be matched by field names between catalyst schema and avro schema instead of positions.
 

sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala

@@ -2046,7 +2046,7 @@ object SQLConf {
     .createWithDefault(Int.MaxValue)
 
   val LEGACY_CAST_DATETIME_TO_STRING =
-    buildConf("spark.sql.legacy.typeCoercion.datetimeToString")
+    buildConf("spark.sql.legacy.typeCoercion.datetimeToString.enabled")
       .doc("If it is set to true, date/timestamp will cast to string in binary comparisons " +
         "with String")
     .booleanConf