diff options
Diffstat (limited to 'streaming')
| -rw-r--r-- | streaming/src/main/scala/org/apache/spark/streaming/dstream/PairDStreamFunctions.scala | 7 |
1 files changed, 3 insertions, 4 deletions
diff --git a/streaming/src/main/scala/org/apache/spark/streaming/dstream/PairDStreamFunctions.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/PairDStreamFunctions.scala index 9467595d30..f405dda6c7 100644 --- a/streaming/src/main/scala/org/apache/spark/streaming/dstream/PairDStreamFunctions.scala +++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/PairDStreamFunctions.scala @@ -398,10 +398,9 @@ class PairDStreamFunctions[K, V](self: DStream[(K,V)]) * 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 each 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. Note, that - * this function may generate a different a tuple with a different key - * than the input key. It is up to the developer to decide whether to + * @param updateFunc State update function. Note, that this function may generate a different + * tuple with a different key than the input key. Therefore keys may be removed + * or added in this way. It is up to the developer to decide whether to * remember the partitioner despite the key being changed. * @param partitioner Partitioner for controlling the partitioning of each RDD in the new * DStream |