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Example 16 with WatermarkStrategy

use of org.apache.flink.api.common.eventtime.WatermarkStrategy in project flink by apache.

the class DataSetSavepointWindowReaderITCase method testReduceEvictorWindowStateReader.

@Test
public void testReduceEvictorWindowStateReader() throws Exception {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    env.setStateBackend(getStateBackend());
    env.setParallelism(4);
    env.addSource(createSource(numbers)).rebalance().assignTimestampsAndWatermarks(WatermarkStrategy.<Integer>noWatermarks().withTimestampAssigner((event, timestamp) -> 0)).keyBy(id -> id).window(TumblingEventTimeWindows.of(Time.milliseconds(10))).evictor(new NoOpEvictor<>()).reduce(new ReduceSum()).uid(uid).addSink(new DiscardingSink<>());
    String savepointPath = takeSavepoint(env);
    ExecutionEnvironment batchEnv = ExecutionEnvironment.getExecutionEnvironment();
    ExistingSavepoint savepoint = Savepoint.load(batchEnv, savepointPath, getStateBackend());
    List<Integer> results = savepoint.window(TumblingEventTimeWindows.of(Time.milliseconds(10))).evictor().reduce(uid, new ReduceSum(), Types.INT, Types.INT).collect();
    Assert.assertThat("Unexpected results from keyed state", results, Matchers.containsInAnyOrder(numbers));
}
Also used : TimestampedValue(org.apache.flink.streaming.runtime.operators.windowing.TimestampedValue) CountTrigger(org.apache.flink.streaming.api.windowing.triggers.CountTrigger) ReduceSum(org.apache.flink.state.api.utils.ReduceSum) ReducingStateDescriptor(org.apache.flink.api.common.state.ReducingStateDescriptor) PurgingTrigger(org.apache.flink.streaming.api.windowing.triggers.PurgingTrigger) SavepointTestBase(org.apache.flink.state.api.utils.SavepointTestBase) Window(org.apache.flink.streaming.api.windowing.windows.Window) WindowReaderFunction(org.apache.flink.state.api.functions.WindowReaderFunction) StateBackend(org.apache.flink.runtime.state.StateBackend) ReducingState(org.apache.flink.api.common.state.ReducingState) Collector(org.apache.flink.util.Collector) TimeWindow(org.apache.flink.streaming.api.windowing.windows.TimeWindow) LongSerializer(org.apache.flink.api.common.typeutils.base.LongSerializer) ReduceFunction(org.apache.flink.api.common.functions.ReduceFunction) GlobalWindow(org.apache.flink.streaming.api.windowing.windows.GlobalWindow) Types(org.apache.flink.api.common.typeinfo.Types) Time(org.apache.flink.streaming.api.windowing.time.Time) DiscardingSink(org.apache.flink.streaming.api.functions.sink.DiscardingSink) Evictor(org.apache.flink.streaming.api.windowing.evictors.Evictor) Matchers(org.hamcrest.Matchers) WatermarkStrategy(org.apache.flink.api.common.eventtime.WatermarkStrategy) Test(org.junit.Test) AggregateSum(org.apache.flink.state.api.utils.AggregateSum) ProcessWindowFunction(org.apache.flink.streaming.api.functions.windowing.ProcessWindowFunction) WindowFunction(org.apache.flink.streaming.api.functions.windowing.WindowFunction) List(java.util.List) ExecutionEnvironment(org.apache.flink.api.java.ExecutionEnvironment) TumblingEventTimeWindows(org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows) Assert(org.junit.Assert) GlobalWindows(org.apache.flink.streaming.api.windowing.assigners.GlobalWindows) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) ExecutionEnvironment(org.apache.flink.api.java.ExecutionEnvironment) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) ReduceSum(org.apache.flink.state.api.utils.ReduceSum) Test(org.junit.Test)

Example 17 with WatermarkStrategy

use of org.apache.flink.api.common.eventtime.WatermarkStrategy in project flink by apache.

the class DataSetSavepointWindowReaderITCase method testProcessEvictorWindowStateReader.

@Test
public void testProcessEvictorWindowStateReader() throws Exception {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    env.setStateBackend(getStateBackend());
    env.setParallelism(4);
    env.addSource(createSource(numbers)).rebalance().assignTimestampsAndWatermarks(WatermarkStrategy.<Integer>noWatermarks().withTimestampAssigner((event, timestamp) -> 0)).keyBy(id -> id).window(TumblingEventTimeWindows.of(Time.milliseconds(10))).evictor(new NoOpEvictor<>()).process(new NoOpProcessWindowFunction()).uid(uid).addSink(new DiscardingSink<>());
    String savepointPath = takeSavepoint(env);
    ExecutionEnvironment batchEnv = ExecutionEnvironment.getExecutionEnvironment();
    ExistingSavepoint savepoint = Savepoint.load(batchEnv, savepointPath, getStateBackend());
    List<Integer> results = savepoint.window(TumblingEventTimeWindows.of(Time.milliseconds(10))).evictor().process(uid, new BasicReaderFunction(), Types.INT, Types.INT, Types.INT).collect();
    Assert.assertThat("Unexpected results from keyed state", results, Matchers.containsInAnyOrder(numbers));
}
Also used : TimestampedValue(org.apache.flink.streaming.runtime.operators.windowing.TimestampedValue) CountTrigger(org.apache.flink.streaming.api.windowing.triggers.CountTrigger) ReduceSum(org.apache.flink.state.api.utils.ReduceSum) ReducingStateDescriptor(org.apache.flink.api.common.state.ReducingStateDescriptor) PurgingTrigger(org.apache.flink.streaming.api.windowing.triggers.PurgingTrigger) SavepointTestBase(org.apache.flink.state.api.utils.SavepointTestBase) Window(org.apache.flink.streaming.api.windowing.windows.Window) WindowReaderFunction(org.apache.flink.state.api.functions.WindowReaderFunction) StateBackend(org.apache.flink.runtime.state.StateBackend) ReducingState(org.apache.flink.api.common.state.ReducingState) Collector(org.apache.flink.util.Collector) TimeWindow(org.apache.flink.streaming.api.windowing.windows.TimeWindow) LongSerializer(org.apache.flink.api.common.typeutils.base.LongSerializer) ReduceFunction(org.apache.flink.api.common.functions.ReduceFunction) GlobalWindow(org.apache.flink.streaming.api.windowing.windows.GlobalWindow) Types(org.apache.flink.api.common.typeinfo.Types) Time(org.apache.flink.streaming.api.windowing.time.Time) DiscardingSink(org.apache.flink.streaming.api.functions.sink.DiscardingSink) Evictor(org.apache.flink.streaming.api.windowing.evictors.Evictor) Matchers(org.hamcrest.Matchers) WatermarkStrategy(org.apache.flink.api.common.eventtime.WatermarkStrategy) Test(org.junit.Test) AggregateSum(org.apache.flink.state.api.utils.AggregateSum) ProcessWindowFunction(org.apache.flink.streaming.api.functions.windowing.ProcessWindowFunction) WindowFunction(org.apache.flink.streaming.api.functions.windowing.WindowFunction) List(java.util.List) ExecutionEnvironment(org.apache.flink.api.java.ExecutionEnvironment) TumblingEventTimeWindows(org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows) Assert(org.junit.Assert) GlobalWindows(org.apache.flink.streaming.api.windowing.assigners.GlobalWindows) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) ExecutionEnvironment(org.apache.flink.api.java.ExecutionEnvironment) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) Test(org.junit.Test)

Example 18 with WatermarkStrategy

use of org.apache.flink.api.common.eventtime.WatermarkStrategy in project flink by apache.

the class DataSetSavepointWindowReaderITCase method testApplyEvictorWindowStateReader.

@Test
public void testApplyEvictorWindowStateReader() throws Exception {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    env.setStateBackend(getStateBackend());
    env.setParallelism(4);
    env.addSource(createSource(numbers)).rebalance().assignTimestampsAndWatermarks(WatermarkStrategy.<Integer>noWatermarks().withTimestampAssigner((event, timestamp) -> 0)).keyBy(id -> id).window(TumblingEventTimeWindows.of(Time.milliseconds(10))).evictor(new NoOpEvictor<>()).apply(new NoOpWindowFunction()).uid(uid).addSink(new DiscardingSink<>());
    String savepointPath = takeSavepoint(env);
    ExecutionEnvironment batchEnv = ExecutionEnvironment.getExecutionEnvironment();
    ExistingSavepoint savepoint = Savepoint.load(batchEnv, savepointPath, getStateBackend());
    List<Integer> results = savepoint.window(TumblingEventTimeWindows.of(Time.milliseconds(1))).evictor().process(uid, new BasicReaderFunction(), Types.INT, Types.INT, Types.INT).collect();
    Assert.assertThat("Unexpected results from keyed state", results, Matchers.containsInAnyOrder(numbers));
}
Also used : TimestampedValue(org.apache.flink.streaming.runtime.operators.windowing.TimestampedValue) CountTrigger(org.apache.flink.streaming.api.windowing.triggers.CountTrigger) ReduceSum(org.apache.flink.state.api.utils.ReduceSum) ReducingStateDescriptor(org.apache.flink.api.common.state.ReducingStateDescriptor) PurgingTrigger(org.apache.flink.streaming.api.windowing.triggers.PurgingTrigger) SavepointTestBase(org.apache.flink.state.api.utils.SavepointTestBase) Window(org.apache.flink.streaming.api.windowing.windows.Window) WindowReaderFunction(org.apache.flink.state.api.functions.WindowReaderFunction) StateBackend(org.apache.flink.runtime.state.StateBackend) ReducingState(org.apache.flink.api.common.state.ReducingState) Collector(org.apache.flink.util.Collector) TimeWindow(org.apache.flink.streaming.api.windowing.windows.TimeWindow) LongSerializer(org.apache.flink.api.common.typeutils.base.LongSerializer) ReduceFunction(org.apache.flink.api.common.functions.ReduceFunction) GlobalWindow(org.apache.flink.streaming.api.windowing.windows.GlobalWindow) Types(org.apache.flink.api.common.typeinfo.Types) Time(org.apache.flink.streaming.api.windowing.time.Time) DiscardingSink(org.apache.flink.streaming.api.functions.sink.DiscardingSink) Evictor(org.apache.flink.streaming.api.windowing.evictors.Evictor) Matchers(org.hamcrest.Matchers) WatermarkStrategy(org.apache.flink.api.common.eventtime.WatermarkStrategy) Test(org.junit.Test) AggregateSum(org.apache.flink.state.api.utils.AggregateSum) ProcessWindowFunction(org.apache.flink.streaming.api.functions.windowing.ProcessWindowFunction) WindowFunction(org.apache.flink.streaming.api.functions.windowing.WindowFunction) List(java.util.List) ExecutionEnvironment(org.apache.flink.api.java.ExecutionEnvironment) TumblingEventTimeWindows(org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows) Assert(org.junit.Assert) GlobalWindows(org.apache.flink.streaming.api.windowing.assigners.GlobalWindows) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) ExecutionEnvironment(org.apache.flink.api.java.ExecutionEnvironment) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) Test(org.junit.Test)

Example 19 with WatermarkStrategy

use of org.apache.flink.api.common.eventtime.WatermarkStrategy in project flink by apache.

the class SavepointWindowReaderITCase method testReduceEvictorWindowStateReader.

@Test
public void testReduceEvictorWindowStateReader() throws Exception {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    env.setStateBackend(getStateBackend());
    env.setParallelism(4);
    env.addSource(createSource(numbers)).rebalance().assignTimestampsAndWatermarks(WatermarkStrategy.<Integer>noWatermarks().withTimestampAssigner((event, timestamp) -> 0)).keyBy(id -> id).window(TumblingEventTimeWindows.of(Time.milliseconds(10))).evictor(new NoOpEvictor<>()).reduce(new ReduceSum()).uid(uid).addSink(new DiscardingSink<>());
    String savepointPath = takeSavepoint(env);
    SavepointReader savepoint = SavepointReader.read(env, savepointPath, getStateBackend());
    List<Integer> results = JobResultRetriever.collect(savepoint.window(TumblingEventTimeWindows.of(Time.milliseconds(10))).evictor().reduce(uid, new ReduceSum(), Types.INT, Types.INT));
    Assert.assertThat("Unexpected results from keyed state", results, Matchers.containsInAnyOrder(numbers));
}
Also used : TimestampedValue(org.apache.flink.streaming.runtime.operators.windowing.TimestampedValue) CountTrigger(org.apache.flink.streaming.api.windowing.triggers.CountTrigger) ReduceSum(org.apache.flink.state.api.utils.ReduceSum) ReducingStateDescriptor(org.apache.flink.api.common.state.ReducingStateDescriptor) PurgingTrigger(org.apache.flink.streaming.api.windowing.triggers.PurgingTrigger) JobResultRetriever(org.apache.flink.state.api.utils.JobResultRetriever) SavepointTestBase(org.apache.flink.state.api.utils.SavepointTestBase) Window(org.apache.flink.streaming.api.windowing.windows.Window) WindowReaderFunction(org.apache.flink.state.api.functions.WindowReaderFunction) StateBackend(org.apache.flink.runtime.state.StateBackend) ReducingState(org.apache.flink.api.common.state.ReducingState) Collector(org.apache.flink.util.Collector) TimeWindow(org.apache.flink.streaming.api.windowing.windows.TimeWindow) LongSerializer(org.apache.flink.api.common.typeutils.base.LongSerializer) ReduceFunction(org.apache.flink.api.common.functions.ReduceFunction) GlobalWindow(org.apache.flink.streaming.api.windowing.windows.GlobalWindow) Types(org.apache.flink.api.common.typeinfo.Types) Time(org.apache.flink.streaming.api.windowing.time.Time) DiscardingSink(org.apache.flink.streaming.api.functions.sink.DiscardingSink) Evictor(org.apache.flink.streaming.api.windowing.evictors.Evictor) Matchers(org.hamcrest.Matchers) WatermarkStrategy(org.apache.flink.api.common.eventtime.WatermarkStrategy) Test(org.junit.Test) AggregateSum(org.apache.flink.state.api.utils.AggregateSum) ProcessWindowFunction(org.apache.flink.streaming.api.functions.windowing.ProcessWindowFunction) WindowFunction(org.apache.flink.streaming.api.functions.windowing.WindowFunction) List(java.util.List) TumblingEventTimeWindows(org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows) Assert(org.junit.Assert) GlobalWindows(org.apache.flink.streaming.api.windowing.assigners.GlobalWindows) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) ReduceSum(org.apache.flink.state.api.utils.ReduceSum) Test(org.junit.Test)

Example 20 with WatermarkStrategy

use of org.apache.flink.api.common.eventtime.WatermarkStrategy in project flink by apache.

the class DataStreamTest method testErgonomicWatermarkStrategy.

/**
 * Ensure that WatermarkStrategy is easy to use in the API, without superfluous generics.
 */
@Test
public void testErgonomicWatermarkStrategy() {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    DataStream<String> input = env.fromElements("bonjour");
    // as soon as you have a chain of methods the first call needs a generic
    input.assignTimestampsAndWatermarks(WatermarkStrategy.forBoundedOutOfOrderness(Duration.ofMillis(10)));
    // as soon as you have a chain of methods the first call needs to specify the generic type
    input.assignTimestampsAndWatermarks(WatermarkStrategy.<String>forBoundedOutOfOrderness(Duration.ofMillis(10)).withTimestampAssigner((event, timestamp) -> 42L));
}
Also used : Tuple1(org.apache.flink.api.java.tuple.Tuple1) Tuple2(org.apache.flink.api.java.tuple.Tuple2) BasicArrayTypeInfo(org.apache.flink.api.common.typeinfo.BasicArrayTypeInfo) PurgingTrigger(org.apache.flink.streaming.api.windowing.triggers.PurgingTrigger) BroadcastPartitioner(org.apache.flink.streaming.runtime.partitioner.BroadcastPartitioner) TupleTypeInfo(org.apache.flink.api.java.typeutils.TupleTypeInfo) CoFlatMapFunction(org.apache.flink.streaming.api.functions.co.CoFlatMapFunction) KeyedBroadcastProcessFunction(org.apache.flink.streaming.api.functions.co.KeyedBroadcastProcessFunction) MapFunction(org.apache.flink.api.common.functions.MapFunction) BasicTypeInfo(org.apache.flink.api.common.typeinfo.BasicTypeInfo) Assert.assertThat(org.junit.Assert.assertThat) AggregateFunction(org.apache.flink.api.common.functions.AggregateFunction) ShufflePartitioner(org.apache.flink.streaming.runtime.partitioner.ShufflePartitioner) 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Assert.assertFalse(org.junit.Assert.assertFalse) AllWindowFunction(org.apache.flink.streaming.api.functions.windowing.AllWindowFunction) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) CountTrigger(org.apache.flink.streaming.api.windowing.triggers.CountTrigger) BroadcastStream(org.apache.flink.streaming.api.datastream.BroadcastStream) AbstractUdfStreamOperator(org.apache.flink.streaming.api.operators.AbstractUdfStreamOperator) CoreMatchers.equalTo(org.hamcrest.CoreMatchers.equalTo) Watermark(org.apache.flink.streaming.api.watermark.Watermark) MapStateDescriptor(org.apache.flink.api.common.state.MapStateDescriptor) ObjectArrayTypeInfo(org.apache.flink.api.java.typeutils.ObjectArrayTypeInfo) DataStreamSource(org.apache.flink.streaming.api.datastream.DataStreamSource) KeyedProcessFunction(org.apache.flink.streaming.api.functions.KeyedProcessFunction) Partitioner(org.apache.flink.api.common.functions.Partitioner) 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Test(org.junit.Test)

Aggregations

WatermarkStrategy (org.apache.flink.api.common.eventtime.WatermarkStrategy)25 StreamExecutionEnvironment (org.apache.flink.streaming.api.environment.StreamExecutionEnvironment)25 Collector (org.apache.flink.util.Collector)25 Test (org.junit.Test)25 List (java.util.List)19 ReduceFunction (org.apache.flink.api.common.functions.ReduceFunction)19 TumblingEventTimeWindows (org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows)19 Time (org.apache.flink.streaming.api.windowing.time.Time)19 ProcessWindowFunction (org.apache.flink.streaming.api.functions.windowing.ProcessWindowFunction)18 WindowFunction (org.apache.flink.streaming.api.functions.windowing.WindowFunction)18 TimeWindow (org.apache.flink.streaming.api.windowing.windows.TimeWindow)18 DataStream (org.apache.flink.streaming.api.datastream.DataStream)17 SingleOutputStreamOperator (org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator)17 Assert (org.junit.Assert)15 Types (org.apache.flink.api.common.typeinfo.Types)13 StateBackend (org.apache.flink.runtime.state.StateBackend)12 Matchers (org.hamcrest.Matchers)12 Tuple2 (org.apache.flink.api.java.tuple.Tuple2)11 Arrays (java.util.Arrays)10 RuntimeExecutionMode (org.apache.flink.api.common.RuntimeExecutionMode)10