tgravescs commented on a change in pull request #25558:
[SPARK-28855][CORE][ML][SQL][STREAMING] Remove outdated usages of Experimental,
Evolving annotations
URL: https://github.com/apache/spark/pull/25558#discussion_r316739293
##########
File path: sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala
##########
@@ -614,54 +591,43 @@ class SQLContext private[sql](val sparkSession:
SparkSession)
}
/**
- * :: Experimental ::
* Creates a `DataFrame` with a single `LongType` column named `id`,
containing elements
* in a range from 0 to `end` (exclusive) with step value 1.
*
* @since 1.4.1
* @group dataframe
*/
- @Experimental
- @Evolving
def range(end: Long): DataFrame = sparkSession.range(end).toDF()
/**
- * :: Experimental ::
* Creates a `DataFrame` with a single `LongType` column named `id`,
containing elements
* in a range from `start` to `end` (exclusive) with step value 1.
*
* @since 1.4.0
* @group dataframe
*/
- @Experimental
- @Evolving
def range(start: Long, end: Long): DataFrame = sparkSession.range(start,
end).toDF()
/**
- * :: Experimental ::
* Creates a `DataFrame` with a single `LongType` column named `id`,
containing elements
* in a range from `start` to `end` (exclusive) with a step value.
*
* @since 2.0.0
* @group dataframe
*/
- @Experimental
- @Evolving
def range(start: Long, end: Long, step: Long): DataFrame = {
sparkSession.range(start, end, step).toDF()
}
/**
- * :: Experimental ::
+ * :: ::
Review comment:
remove empty line?
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