Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/15513#discussion_r84406453
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/MonotonicallyIncreasingID.scala
---
@@ -33,13 +33,20 @@ import org.apache.spark.sql.types.{DataType, LongType}
* Since this expression is stateful, it cannot be a case object.
*/
@ExpressionDescription(
- usage =
- """_FUNC_() - Returns monotonically increasing 64-bit integers.
+ usage = """
+ _FUNC_() - Returns monotonically increasing 64-bit integers.
The generated ID is guaranteed to be monotonically increasing and
unique, but not consecutive.
The current implementation puts the partition ID in the upper 31
bits, and the lower 33 bits
represent the record number within each partition. The assumption is
that the data frame has
- less than 1 billion partitions, and each partition has less than 8
billion records.""",
- extended = "> SELECT _FUNC_();\n 0")
+ less than 1 billion partitions, and each partition has less than 8
billion records.
+ """,
+ extended = """
+ _FUNC_()
+
+ Examples:
+ > SELECT _FUNC_();
--- End diff --
this example is fairly useless so I'd just remove it.
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