Skip to content

Made combOp of aggregate() work as a reduce instead of an implicit fold #658

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

Open
wants to merge 4 commits into
base: master
Choose a base branch
from
Open

Made combOp of aggregate() work as a reduce instead of an implicit fold #658

Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
d4e56b9
Made combOp of aggregate() work as a reduce instead of an implicit fold
markhamstra Jun 23, 2013
67b66f2
RDD.aggregate:
markhamstra Jun 23, 2013
2330e60
RDD.aggregate:
markhamstra Jun 23, 2013
75d8681
Handle RDDs with no partitions in aggregate()
markhamstra Jun 25, 2013
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
17 changes: 12 additions & 5 deletions core/src/main/scala/spark/RDD.scala
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -634,14 +634,21 @@ abstract class RDD[T: ClassManifest](
* allocation.
*/
def aggregate[U: ClassManifest](zeroValue: U)(seqOp: (U, T) => U, combOp: (U, U) => U): U = {
// Clone the zero value since we will also be serializing it as part of tasks
var jobResult = Utils.clone(zeroValue, sc.env.closureSerializer.newInstance())
var jobResult = Option.empty[U]
val cleanSeqOp = sc.clean(seqOp)
val cleanCombOp = sc.clean(combOp)
val aggregatePartition = (it: Iterator[T]) => it.aggregate(zeroValue)(cleanSeqOp, cleanCombOp)
val mergeResult = (index: Int, taskResult: U) => jobResult = combOp(jobResult, taskResult)
def optCombOp(a: Option[U], b: Option[U]): Option[U] = (a, b) match {
case (None, None) => Option(zeroValue)
case (None, _) => b
case (Some(u1), Some(u2)) => Option(combOp(u1, u2))
case (_, _) => throw new SparkException("Have a jobResult but no taskResult in aggregate()")
}
val aggregatePartition =
(it: Iterator[T]) => Option(it.aggregate(zeroValue)(cleanSeqOp, cleanCombOp))
val mergeResult =
(index: Int, taskResult: Option[U]) => jobResult = optCombOp(jobResult, taskResult)
sc.runJob(this, aggregatePartition, mergeResult)
jobResult
jobResult.get
}

/**
Expand Down