Skip to content

[Streaming] Update PairDStreamFunctions.scala #16215

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
Jimmy-Newtron wants to merge 1 commit into from
Closed

[Streaming] Update PairDStreamFunctions.scala #16215

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 10 additions & 0 deletions streaming/src/main/scala/org/apache/spark/streaming/dstream/PairDStreamFunctions.scala
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -45,6 +45,16 @@ class PairDStreamFunctions[K, V](self: DStream[(K, V)])
new HashPartitioner(numPartitions)
}

/**
* Return a DStream with the keys of each tuple.
*/
def keys: DStream[K] = self.map(_._1)

/**
* Return a DStream with the values of each tuple.
*/
def values: DStream[V] = self.map(_._2)

/**
* Return a new DStream by applying `groupByKey` to each RDD. Hash partitioning is used to
* generate the RDDs with Spark's default number of partitions.
Expand Down