Review comment fix

apache · Feb 12, 2020 · e873527 · e873527
1 parent 1a066e1
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diff --git a/docs/sql-migration-guide.md b/docs/sql-migration-guide.md
@@ -216,7 +216,7 @@ license: |
 
   - Since Spark 3.0, the `size` function returns `NULL` for the `NULL` input. In Spark version 2.4 and earlier, this function gives `-1` for the same input. To restore the behavior before Spark 3.0, you can set `spark.sql.legacy.sizeOfNull` to `true`.
 
-  - Since Spark 3.0, when the `array`/`map` function is called without any parameters, it returns an empty collection with `NullType` as element type. In Spark version 2.4 and earlier, it returns an empty collection with `StringType` as element type. To restore the behavior before Spark 3.0, you can set `spark.sql.legacy.createEmptyCollectionUsingStringType.enabled` to `true`.
+  - Since Spark 3.0, when the `array`/`map` function is called without any parameters, it returns an empty collection with `NullType` as element type. In Spark version 2.4 and earlier, it returns an empty collection with `StringType` as element type. To restore the behavior before Spark 3.0, you can set `spark.sql.legacy.createEmptyCollectionUsingStringType` to `true`.
 
   - Since Spark 3.0, the interval literal syntax does not allow multiple from-to units anymore. For example, `SELECT INTERVAL '1-1' YEAR TO MONTH '2-2' YEAR TO MONTH'` throws parser exception.
 

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -2008,12 +2008,11 @@ object SQLConf {
       .createWithDefault(false)
 
   val LEGACY_CREATE_EMPTY_COLLECTION_USING_STRING_TYPE =
-    buildConf("spark.sql.legacy.createEmptyCollectionUsingStringType.enabled")
+    buildConf("spark.sql.legacy.createEmptyCollectionUsingStringType")
       .internal()
-      .doc("When set to true, it returns an empty array of string type and an empty map with " +
-        "string type as key/value type when `array` and `map` functions are called without any " +
-        "parameters, respectively. Otherwise, it returns an empty array of `NullType` and " +
-        "empty map with `NullType` as key/value type, respectively. ")
+      .doc("When set to true, Spark returns an empty collection with `StringType` as element " +
+        "type if the `array`/`map` function is called without any parameters. Otherwise, Spark " +
+        "returns an empty collection with `NullType` as element type.")
       .booleanConf
       .createWithDefault(false)