He-Pin commented on code in PR #2244:
URL: https://github.com/apache/pekko/pull/2244#discussion_r2365580905
##########
stream/src/main/scala/org/apache/pekko/stream/javadsl/Sink.scala:
##########
@@ -313,6 +313,27 @@ object Sink {
scaladsl.Sink.seq[In].mapMaterializedValue(fut => fut.map(sq =>
sq.asJava)(ExecutionContext.parasitic).asJava))
}
+ /**
+ * A `Sink` that counts all incoming elements until upstream terminates.
+ *
+ * Since upstream may be unbounded, consider using `Flow[T].take` or the
stricter `Flow[T].limit`
+ * (and their variants) to ensure boundedness. The sink materializes into a
`CompletionStage` of `Long`
+ * containing the total count of elements that passed through.
+ *
+ * '''Completes when''' upstream completes
+ *
+ * '''Backpressures when''' never (counting is a lightweight operation)
+ *
+ * '''Cancels when''' never
+ *
+ * @return a `Sink` that materializes to a `CompletionStage[Long]` with the
element count
+ * @since 2.0.0
+ *
+ * See also [[Flow.limit]], [[Flow.limitWeighted]], [[Flow.take]],
[[Flow.takeWithin]], [[Flow.takeWhile]]
+ */
+ def count[In]: Sink[In, CompletionStage[java.lang.Long]] = new Sink(
+
scaladsl.Sink.count[In].mapMaterializedValue(_.mapTo[java.lang.Long].asJava))
Review Comment:
no, the `CompletableFuture[Long]` seems not a
`CompletableFuture[java.lang.Long]`
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