Github user tillrohrmann commented on a diff in the pull request:
https://github.com/apache/flink/pull/2629#discussion_r88721238
--- Diff:
flink-tests/src/test/java/org/apache/flink/test/streaming/api/StreamingOperatorsITCase.java
---
@@ -195,6 +202,70 @@ public Integer map(NonSerializable value) throws
Exception {
env.execute();
}
+ @Test
+ public void testAsyncWaitOperator() throws Exception {
+ final int numElements = 10;
+
+ StreamExecutionEnvironment env =
StreamExecutionEnvironment.getExecutionEnvironment();
+
+ DataStream<Tuple2<Integer, NonSerializable>> input =
env.addSource(new NonSerializableTupleSource(numElements)).setParallelism(1);
+
+ AsyncFunction<Tuple2<Integer, NonSerializable>, Integer>
function = new RichAsyncFunction<Tuple2<Integer, NonSerializable>, Integer>() {
+ transient ExecutorService executorService;
+
+ @Override
+ public void open(Configuration parameters) throws
Exception {
+ super.open(parameters);
+ executorService =
Executors.newFixedThreadPool(numElements);
+ }
+
+ @Override
+ public void close() throws Exception {
+ super.close();
+ executorService.shutdown();
+ }
+
+ @Override
+ public void asyncInvoke(final Tuple2<Integer,
NonSerializable> input,
+ final
AsyncCollector<Tuple2<Integer, NonSerializable>, Integer> collector) throws
Exception {
+ this.executorService.submit(new Runnable() {
+ @Override
+ public void run() {
+ // wait for while to simulate
async operation here
+ int sleep = (int) (new
Random().nextFloat() * 1000);
+ try {
+ Thread.sleep(sleep);
+ List<Integer> ret = new
ArrayList<>();
+
ret.add(input.f0+input.f0);
+ collector.collect(ret);
+ }
+ catch (InterruptedException e) {
+ collector.collect(new
ArrayList<Integer>(0));
+ }
+ }
+ });
+ }
+ };
+
+ DataStream<Integer> orderedResult =
AsyncDataStream.orderedWait(input, function, 2).setParallelism(1);
+ orderedResult.writeAsText(resultPath1,
FileSystem.WriteMode.OVERWRITE).setParallelism(1);
+
+ DataStream<Integer> unorderedResult =
AsyncDataStream.unorderedWait(input, function, 2).setParallelism(1);
+ unorderedResult.writeAsText(resultPath2,
FileSystem.WriteMode.OVERWRITE);
--- End diff --
Writing to disk can fail on travis. Thus, it is highly recommended
rewriting these tests doing so that they store their results in memory.
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