Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/2665#discussion_r20183390
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaPairDStream.scala
---
@@ -492,6 +509,26 @@ class JavaPairDStream[K, V](val dstream: DStream[(K,
V)])(
dstream.updateStateByKey(convertUpdateStateFunction(updateFunc),
partitioner)
}
+ /**
+ * Return a new "state" DStream where the state for each key is updated
by applying
+ * the given function on the previous state of the key and the new
values of the key.
+ * org.apache.spark.Partitioner is used to control the partitioning of
each RDD.
+ * @param updateFunc State update function. If `this` function returns
None, then
+ * corresponding state key-value pair will be
eliminated.
+ * @param partitioner Partitioner for controlling the partitioning of
each RDD in the new
+ * DStream.
+ * @param initialRDD initial state value of each key.
+ * @tparam S State type
+ */
+ def updateStateByKey[S](
--- End diff --
I guess this makes it different from the Scala api, and the reason is that
the Java API does not expose the version of the API that uses iterators. And as
far as I remember, that was not done because its tricky to write a function
Java dealing with scala iterators and all.
Lets try to make the Java and Scala API consistent (minus the iterator
based ones). So could you please add a Scala API equivalent to this, that is,
(simple non-iterator function, partitioner, initial RDD)? Also unit test for
that please :)
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