Examples with Tuple org.apache.flink.api.java.tuple.Tuple used on opensource projects

Example 16 with Tuple

use of org.apache.flink.api.java.tuple.Tuple in project flink by apache.

the class AbstractEventTimeWindowCheckpointingITCase method testPreAggregatedTumblingTimeWindow.

@Test
public void testPreAggregatedTumblingTimeWindow() {
    final int NUM_ELEMENTS_PER_KEY = numElementsPerKey();
    final int WINDOW_SIZE = windowSize();
    final int NUM_KEYS = numKeys();
    FailingSource.reset();
    try {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.createRemoteEnvironment("localhost", cluster.getLeaderRPCPort());
        env.setParallelism(PARALLELISM);
        env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
        env.enableCheckpointing(100);
        env.setRestartStrategy(RestartStrategies.fixedDelayRestart(3, 0));
        env.getConfig().disableSysoutLogging();
        env.setStateBackend(this.stateBackend);
        env.addSource(new FailingSource(NUM_KEYS, NUM_ELEMENTS_PER_KEY, NUM_ELEMENTS_PER_KEY / 3)).rebalance().keyBy(0).timeWindow(Time.of(WINDOW_SIZE, MILLISECONDS)).reduce(new ReduceFunction<Tuple2<Long, IntType>>() {

            @Override
            public Tuple2<Long, IntType> reduce(Tuple2<Long, IntType> a, Tuple2<Long, IntType> b) {
                return new Tuple2<>(a.f0, new IntType(a.f1.value + b.f1.value));
            }
        }, new RichWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, Tuple, TimeWindow>() {

            private boolean open = false;

            @Override
            public void open(Configuration parameters) {
                assertEquals(PARALLELISM, getRuntimeContext().getNumberOfParallelSubtasks());
                open = true;
            }

            @Override
            public void apply(Tuple tuple, TimeWindow window, Iterable<Tuple2<Long, IntType>> input, Collector<Tuple4<Long, Long, Long, IntType>> out) {
                // validate that the function has been opened properly
                assertTrue(open);
                for (Tuple2<Long, IntType> in : input) {
                    out.collect(new Tuple4<>(in.f0, window.getStart(), window.getEnd(), in.f1));
                }
            }
        }).addSink(new ValidatingSink(NUM_KEYS, NUM_ELEMENTS_PER_KEY / WINDOW_SIZE)).setParallelism(1);
        tryExecute(env, "Tumbling Window Test");
    } catch (Exception e) {
        e.printStackTrace();
        fail(e.getMessage());
    }
}

Example 17 with Tuple

use of org.apache.flink.api.java.tuple.Tuple in project flink by apache.

the class WindowCheckpointingITCase method testTumblingProcessingTimeWindow.

// ------------------------------------------------------------------------
@Test
public void testTumblingProcessingTimeWindow() {
    final int NUM_ELEMENTS = 3000;
    FailingSource.reset();
    try {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.createRemoteEnvironment("localhost", cluster.getLeaderRPCPort());
        env.setParallelism(PARALLELISM);
        env.setStreamTimeCharacteristic(timeCharacteristic);
        env.getConfig().setAutoWatermarkInterval(10);
        env.enableCheckpointing(100);
        env.setRestartStrategy(RestartStrategies.fixedDelayRestart(3, 0));
        env.getConfig().disableSysoutLogging();
        env.addSource(new FailingSource(NUM_ELEMENTS, NUM_ELEMENTS / 3)).rebalance().keyBy(0).timeWindow(Time.of(100, MILLISECONDS)).apply(new RichWindowFunction<Tuple2<Long, IntType>, Tuple2<Long, IntType>, Tuple, TimeWindow>() {

            private boolean open = false;

            @Override
            public void open(Configuration parameters) {
                assertEquals(PARALLELISM, getRuntimeContext().getNumberOfParallelSubtasks());
                open = true;
            }

            @Override
            public void apply(Tuple tuple, TimeWindow window, Iterable<Tuple2<Long, IntType>> values, Collector<Tuple2<Long, IntType>> out) {
                // validate that the function has been opened properly
                assertTrue(open);
                for (Tuple2<Long, IntType> value : values) {
                    assertEquals(value.f0.intValue(), value.f1.value);
                    out.collect(new Tuple2<Long, IntType>(value.f0, new IntType(1)));
                }
            }
        }).addSink(new ValidatingSink(NUM_ELEMENTS, 1)).setParallelism(1);
        tryExecute(env, "Tumbling Window Test");
    } catch (Exception e) {
        e.printStackTrace();
        fail(e.getMessage());
    }
}

Example 18 with Tuple

use of org.apache.flink.api.java.tuple.Tuple in project flink by apache.

the class AbstractEventTimeWindowCheckpointingITCase method doTestTumblingTimeWindowWithKVState.

public void doTestTumblingTimeWindowWithKVState(int maxParallelism) {
    final int NUM_ELEMENTS_PER_KEY = numElementsPerKey();
    final int WINDOW_SIZE = windowSize();
    final int NUM_KEYS = numKeys();
    FailingSource.reset();
    try {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.createRemoteEnvironment("localhost", cluster.getLeaderRPCPort());
        env.setParallelism(PARALLELISM);
        env.setMaxParallelism(maxParallelism);
        env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
        env.enableCheckpointing(100);
        env.setRestartStrategy(RestartStrategies.fixedDelayRestart(3, 0));
        env.getConfig().disableSysoutLogging();
        env.setStateBackend(this.stateBackend);
        env.addSource(new FailingSource(NUM_KEYS, NUM_ELEMENTS_PER_KEY, NUM_ELEMENTS_PER_KEY / 3)).rebalance().keyBy(0).timeWindow(Time.of(WINDOW_SIZE, MILLISECONDS)).apply(new RichWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, Tuple, TimeWindow>() {

            private boolean open = false;

            private ValueState<Integer> count;

            @Override
            public void open(Configuration parameters) {
                assertEquals(PARALLELISM, getRuntimeContext().getNumberOfParallelSubtasks());
                open = true;
                count = getRuntimeContext().getState(new ValueStateDescriptor<>("count", Integer.class, 0));
            }

            @Override
            public void apply(Tuple tuple, TimeWindow window, Iterable<Tuple2<Long, IntType>> values, Collector<Tuple4<Long, Long, Long, IntType>> out) throws Exception {
                // different count results for each key
                if (count.value() == 0) {
                    count.update(tuple.<Long>getField(0).intValue());
                }
                // validate that the function has been opened properly
                assertTrue(open);
                count.update(count.value() + 1);
                out.collect(new Tuple4<>(tuple.<Long>getField(0), window.getStart(), window.getEnd(), new IntType(count.value())));
            }
        }).addSink(new CountValidatingSink(NUM_KEYS, NUM_ELEMENTS_PER_KEY / WINDOW_SIZE)).setParallelism(1);
        tryExecute(env, "Tumbling Window Test");
    } catch (Exception e) {
        e.printStackTrace();
        fail(e.getMessage());
    }
}

Example 19 with Tuple

use of org.apache.flink.api.java.tuple.Tuple in project flink by apache.

the class AbstractEventTimeWindowCheckpointingITCase method testPreAggregatedSlidingTimeWindow.

@Test
public void testPreAggregatedSlidingTimeWindow() {
    final int NUM_ELEMENTS_PER_KEY = numElementsPerKey();
    final int WINDOW_SIZE = windowSize();
    final int WINDOW_SLIDE = windowSlide();
    final int NUM_KEYS = numKeys();
    FailingSource.reset();
    try {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.createRemoteEnvironment("localhost", cluster.getLeaderRPCPort());
        env.setParallelism(PARALLELISM);
        env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
        env.enableCheckpointing(100);
        env.setRestartStrategy(RestartStrategies.fixedDelayRestart(3, 0));
        env.getConfig().disableSysoutLogging();
        env.setStateBackend(this.stateBackend);
        env.addSource(new FailingSource(NUM_KEYS, NUM_ELEMENTS_PER_KEY, NUM_ELEMENTS_PER_KEY / 3)).rebalance().keyBy(0).timeWindow(Time.of(WINDOW_SIZE, MILLISECONDS), Time.of(WINDOW_SLIDE, MILLISECONDS)).reduce(new ReduceFunction<Tuple2<Long, IntType>>() {

            @Override
            public Tuple2<Long, IntType> reduce(Tuple2<Long, IntType> a, Tuple2<Long, IntType> b) {
                // validate that the function has been opened properly
                return new Tuple2<>(a.f0, new IntType(a.f1.value + b.f1.value));
            }
        }, new RichWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, Tuple, TimeWindow>() {

            private boolean open = false;

            @Override
            public void open(Configuration parameters) {
                assertEquals(PARALLELISM, getRuntimeContext().getNumberOfParallelSubtasks());
                open = true;
            }

            @Override
            public void apply(Tuple tuple, TimeWindow window, Iterable<Tuple2<Long, IntType>> input, Collector<Tuple4<Long, Long, Long, IntType>> out) {
                // validate that the function has been opened properly
                assertTrue(open);
                for (Tuple2<Long, IntType> in : input) {
                    out.collect(new Tuple4<>(in.f0, window.getStart(), window.getEnd(), in.f1));
                }
            }
        }).addSink(new ValidatingSink(NUM_KEYS, NUM_ELEMENTS_PER_KEY / WINDOW_SLIDE)).setParallelism(1);
        tryExecute(env, "Tumbling Window Test");
    } catch (Exception e) {
        e.printStackTrace();
        fail(e.getMessage());
    }
}

Example 20 with Tuple

use of org.apache.flink.api.java.tuple.Tuple in project flink by apache.

the class WindowFoldITCase method testFoldProcessWindow.

@Test
public void testFoldProcessWindow() throws Exception {
    testResults = new ArrayList<>();
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
    env.setParallelism(1);
    DataStream<Tuple2<String, Integer>> source1 = env.addSource(new SourceFunction<Tuple2<String, Integer>>() {

        private static final long serialVersionUID = 1L;

        @Override
        public void run(SourceContext<Tuple2<String, Integer>> ctx) throws Exception {
            ctx.collect(Tuple2.of("a", 0));
            ctx.collect(Tuple2.of("a", 1));
            ctx.collect(Tuple2.of("a", 2));
            ctx.collect(Tuple2.of("b", 3));
            ctx.collect(Tuple2.of("b", 4));
            ctx.collect(Tuple2.of("b", 5));
            ctx.collect(Tuple2.of("a", 6));
            ctx.collect(Tuple2.of("a", 7));
            ctx.collect(Tuple2.of("a", 8));
        // source is finite, so it will have an implicit MAX watermark when it finishes
        }

        @Override
        public void cancel() {
        }
    }).assignTimestampsAndWatermarks(new Tuple2TimestampExtractor());
    source1.keyBy(0).window(TumblingEventTimeWindows.of(Time.of(3, TimeUnit.MILLISECONDS))).fold(Tuple2.of(0, "R:"), new FoldFunction<Tuple2<String, Integer>, Tuple2<Integer, String>>() {

        @Override
        public Tuple2<Integer, String> fold(Tuple2<Integer, String> accumulator, Tuple2<String, Integer> value) throws Exception {
            accumulator.f1 += value.f0;
            accumulator.f0 += value.f1;
            return accumulator;
        }
    }, new ProcessWindowFunction<Tuple2<Integer, String>, Tuple3<String, Integer, Integer>, Tuple, TimeWindow>() {

        @Override
        public void process(Tuple tuple, Context context, Iterable<Tuple2<Integer, String>> elements, Collector<Tuple3<String, Integer, Integer>> out) throws Exception {
            int i = 0;
            for (Tuple2<Integer, String> in : elements) {
                out.collect(new Tuple3<>(in.f1, in.f0, i++));
            }
        }
    }).addSink(new SinkFunction<Tuple3<String, Integer, Integer>>() {

        @Override
        public void invoke(Tuple3<String, Integer, Integer> value) throws Exception {
            testResults.add(value.toString());
        }
    });
    env.execute("Fold Process Window Test");
    List<String> expectedResult = Arrays.asList("(R:aaa,3,0)", "(R:aaa,21,0)", "(R:bbb,12,0)");
    Collections.sort(expectedResult);
    Collections.sort(testResults);
    Assert.assertEquals(expectedResult, testResults);
}