Examples with TestStream org.apache.beam.sdk.testing.TestStream used on opensource projects

Example 1 with TestStream

use of org.apache.beam.sdk.testing.TestStream in project beam by apache.

the class GroupIntoBatchesTest method testInStreamingMode.

@Test
@Category({ NeedsRunner.class, UsesTimersInParDo.class, UsesTestStream.class, UsesStatefulParDo.class })
public void testInStreamingMode() {
    int timestampInterval = 1;
    Instant startInstant = new Instant(0L);
    TestStream.Builder<KV<String, String>> streamBuilder = TestStream.create(KvCoder.of(StringUtf8Coder.of(), StringUtf8Coder.of())).advanceWatermarkTo(startInstant);
    long offset = 0L;
    for (KV<String, String> element : data) {
        streamBuilder = streamBuilder.addElements(TimestampedValue.of(element, startInstant.plus(Duration.standardSeconds(offset * timestampInterval))));
        offset++;
    }
    final long windowDuration = 6;
    TestStream<KV<String, String>> stream = streamBuilder.advanceWatermarkTo(startInstant.plus(Duration.standardSeconds(windowDuration - 1))).advanceWatermarkTo(startInstant.plus(Duration.standardSeconds(windowDuration + 1))).advanceWatermarkTo(startInstant.plus(Duration.standardSeconds(NUM_ELEMENTS))).advanceWatermarkToInfinity();
    PCollection<KV<String, String>> inputCollection = pipeline.apply(stream).apply(Window.<KV<String, String>>into(FixedWindows.of(Duration.standardSeconds(windowDuration))).withAllowedLateness(Duration.millis(ALLOWED_LATENESS)));
    inputCollection.apply(ParDo.of(new DoFn<KV<String, String>, Void>() {

        @ProcessElement
        public void processElement(ProcessContext c, BoundedWindow window) {
            LOG.debug("*** ELEMENT: ({},{}) *** with timestamp %s in window %s", c.element().getKey(), c.element().getValue(), c.timestamp().toString(), window.toString());
        }
    }));
    PCollection<KV<String, Iterable<String>>> outputCollection = inputCollection.apply(GroupIntoBatches.<String, String>ofSize(BATCH_SIZE)).setCoder(KvCoder.of(StringUtf8Coder.of(), IterableCoder.of(StringUtf8Coder.of())));
    // elements have the same key and collection is divided into windows,
    // so Count.perKey values are the number of elements in windows
    PCollection<KV<String, Long>> countOutput = outputCollection.apply("Count elements in windows after applying GroupIntoBatches", Count.<String, Iterable<String>>perKey());
    PAssert.that("Wrong number of elements in windows after GroupIntoBatches", countOutput).satisfies(new SerializableFunction<Iterable<KV<String, Long>>, Void>() {

        @Override
        public Void apply(Iterable<KV<String, Long>> input) {
            Iterator<KV<String, Long>> inputIterator = input.iterator();
            // first element
            long count0 = inputIterator.next().getValue();
            // window duration is 6 and batch size is 5, so there should be 2 elements in the
            // window (flush because batchSize reached and for end of window reached)
            assertEquals("Wrong number of elements in first window", 2, count0);
            // second element
            long count1 = inputIterator.next().getValue();
            // collection is 10 elements, there is only 4 elements left, so there should be only
            // one element in the window (flush because end of window/collection reached)
            assertEquals("Wrong number of elements in second window", 1, count1);
            // third element
            return null;
        }
    });
    PAssert.that("Incorrect output collection after GroupIntoBatches", outputCollection).satisfies(new SerializableFunction<Iterable<KV<String, Iterable<String>>>, Void>() {

        @Override
        public Void apply(Iterable<KV<String, Iterable<String>>> input) {
            Iterator<KV<String, Iterable<String>>> inputIterator = input.iterator();
            // first element
            int size0 = Iterables.size(inputIterator.next().getValue());
            // window duration is 6 and batch size is 5, so output batch size should de 5
            // (flush because of batchSize reached)
            assertEquals("Wrong first element batch Size", 5, size0);
            // second element
            int size1 = Iterables.size(inputIterator.next().getValue());
            // there is only one element left in the window so batch size should be 1
            // (flush because of end of window reached)
            assertEquals("Wrong second element batch Size", 1, size1);
            // third element
            int size2 = Iterables.size(inputIterator.next().getValue());
            // collection is 10 elements, there is only 4 left, so batch size should be 4
            // (flush because end of collection reached)
            assertEquals("Wrong third element batch Size", 4, size2);
            return null;
        }
    });
    pipeline.run().waitUntilFinish();
}

Example 2 with TestStream

use of org.apache.beam.sdk.testing.TestStream in project beam by apache.

the class LeaderBoardTest method testTeamScoresObservablyLate.

/**
   * A test where elements arrive behind the watermark (late data) after the watermark passes the
   * end of the window, but before the maximum allowed lateness. These elements are emitted in a
   * late pane.
   */
@Test
public void testTeamScoresObservablyLate() {
    Instant firstWindowCloses = baseTime.plus(ALLOWED_LATENESS).plus(TEAM_WINDOW_DURATION);
    TestStream<GameActionInfo> createEvents = TestStream.create(AvroCoder.of(GameActionInfo.class)).advanceWatermarkTo(baseTime).addElements(event(TestUser.BLUE_ONE, 3, Duration.standardSeconds(3)), event(TestUser.BLUE_TWO, 5, Duration.standardMinutes(8))).advanceProcessingTime(Duration.standardMinutes(10)).advanceWatermarkTo(baseTime.plus(Duration.standardMinutes(3))).addElements(event(TestUser.RED_ONE, 3, Duration.standardMinutes(1)), event(TestUser.RED_ONE, 4, Duration.standardMinutes(2)), event(TestUser.BLUE_ONE, 3, Duration.standardMinutes(5))).advanceWatermarkTo(firstWindowCloses.minus(Duration.standardMinutes(1))).addElements(event(TestUser.RED_TWO, 2, Duration.ZERO), event(TestUser.RED_TWO, 5, Duration.standardMinutes(1)), event(TestUser.RED_TWO, 3, Duration.standardMinutes(3))).advanceProcessingTime(Duration.standardMinutes(12)).addElements(event(TestUser.RED_TWO, 9, Duration.standardMinutes(1)), event(TestUser.RED_TWO, 1, Duration.standardMinutes(3))).advanceWatermarkToInfinity();
    PCollection<KV<String, Integer>> teamScores = p.apply(createEvents).apply(new CalculateTeamScores(TEAM_WINDOW_DURATION, ALLOWED_LATENESS));
    BoundedWindow window = new IntervalWindow(baseTime, TEAM_WINDOW_DURATION);
    String blueTeam = TestUser.BLUE_ONE.getTeam();
    String redTeam = TestUser.RED_ONE.getTeam();
    PAssert.that(teamScores).inWindow(window).satisfies((SerializableFunction<Iterable<KV<String, Integer>>, Void>) input -> {
        assertThat(input, hasItem(KV.of(blueTeam, 11)));
        assertThat(input, hasItem(KV.of(redTeam, 27)));
        return null;
    });
    PAssert.thatMap(teamScores).inOnTimePane(window).isEqualTo(ImmutableMap.<String, Integer>builder().put(redTeam, 7).put(blueTeam, 11).build());
    // No final pane is emitted for the blue team, as all of their updates have been taken into
    // account in earlier panes
    PAssert.that(teamScores).inFinalPane(window).containsInAnyOrder(KV.of(redTeam, 27));
    p.run().waitUntilFinish();
}

Example 3 with TestStream

use of org.apache.beam.sdk.testing.TestStream in project DataflowJavaSDK-examples by GoogleCloudPlatform.

the class LeaderBoardTest method testTeamScoresObservablyLate.

/**
   * A test where elements arrive behind the watermark (late data) after the watermark passes the
   * end of the window, but before the maximum allowed lateness. These elements are emitted in a
   * late pane.
   */
@Test
public void testTeamScoresObservablyLate() {
    Instant firstWindowCloses = baseTime.plus(ALLOWED_LATENESS).plus(TEAM_WINDOW_DURATION);
    TestStream<GameActionInfo> createEvents = TestStream.create(AvroCoder.of(GameActionInfo.class)).advanceWatermarkTo(baseTime).addElements(event(TestUser.BLUE_ONE, 3, Duration.standardSeconds(3)), event(TestUser.BLUE_TWO, 5, Duration.standardMinutes(8))).advanceProcessingTime(Duration.standardMinutes(10)).advanceWatermarkTo(baseTime.plus(Duration.standardMinutes(3))).addElements(event(TestUser.RED_ONE, 3, Duration.standardMinutes(1)), event(TestUser.RED_ONE, 4, Duration.standardMinutes(2)), event(TestUser.BLUE_ONE, 3, Duration.standardMinutes(5))).advanceWatermarkTo(firstWindowCloses.minus(Duration.standardMinutes(1))).addElements(event(TestUser.RED_TWO, 2, Duration.ZERO), event(TestUser.RED_TWO, 5, Duration.standardMinutes(1)), event(TestUser.RED_TWO, 3, Duration.standardMinutes(3))).advanceProcessingTime(Duration.standardMinutes(12)).addElements(event(TestUser.RED_TWO, 9, Duration.standardMinutes(1)), event(TestUser.RED_TWO, 1, Duration.standardMinutes(3))).advanceWatermarkToInfinity();
    PCollection<KV<String, Integer>> teamScores = p.apply(createEvents).apply(new CalculateTeamScores(TEAM_WINDOW_DURATION, ALLOWED_LATENESS));
    BoundedWindow window = new IntervalWindow(baseTime, TEAM_WINDOW_DURATION);
    String blueTeam = TestUser.BLUE_ONE.getTeam();
    String redTeam = TestUser.RED_ONE.getTeam();
    PAssert.that(teamScores).inWindow(window).satisfies((SerializableFunction<Iterable<KV<String, Integer>>, Void>) input -> {
        assertThat(input, hasItem(KV.of(blueTeam, 11)));
        assertThat(input, hasItem(KV.of(redTeam, 27)));
        return null;
    });
    PAssert.thatMap(teamScores).inOnTimePane(window).isEqualTo(ImmutableMap.<String, Integer>builder().put(redTeam, 7).put(blueTeam, 11).build());
    // No final pane is emitted for the blue team, as all of their updates have been taken into
    // account in earlier panes
    PAssert.that(teamScores).inFinalPane(window).containsInAnyOrder(KV.of(redTeam, 27));
    p.run().waitUntilFinish();
}