use of org.apache.flink.streaming.api.transformations.StreamTransformation in project flink by apache.
the class FoldApplyProcessWindowFunctionTest method testFoldAllWindowFunctionOutputTypeConfigurable.
/**
* Tests that the FoldWindowFunction gets the output type serializer set by the
* StreamGraphGenerator and checks that the FoldWindowFunction computes the correct result.
*/
@Test
public void testFoldAllWindowFunctionOutputTypeConfigurable() throws Exception {
StreamExecutionEnvironment env = new DummyStreamExecutionEnvironment();
List<StreamTransformation<?>> transformations = new ArrayList<>();
int initValue = 1;
FoldApplyProcessAllWindowFunction<TimeWindow, Integer, Integer, Integer> foldWindowFunction = new FoldApplyProcessAllWindowFunction<>(initValue, new FoldFunction<Integer, Integer>() {
@Override
public Integer fold(Integer accumulator, Integer value) throws Exception {
return accumulator + value;
}
}, new ProcessAllWindowFunction<Integer, Integer, TimeWindow>() {
@Override
public void process(Context context, Iterable<Integer> input, Collector<Integer> out) throws Exception {
for (Integer in : input) {
out.collect(in);
}
}
}, BasicTypeInfo.INT_TYPE_INFO);
AccumulatingProcessingTimeWindowOperator<Byte, Integer, Integer> windowOperator = new AccumulatingProcessingTimeWindowOperator<>(new InternalIterableProcessAllWindowFunction<>(foldWindowFunction), new KeySelector<Integer, Byte>() {
private static final long serialVersionUID = -7951310554369722809L;
@Override
public Byte getKey(Integer value) throws Exception {
return 0;
}
}, ByteSerializer.INSTANCE, IntSerializer.INSTANCE, 3000, 3000);
SourceFunction<Integer> sourceFunction = new SourceFunction<Integer>() {
private static final long serialVersionUID = 8297735565464653028L;
@Override
public void run(SourceContext<Integer> ctx) throws Exception {
}
@Override
public void cancel() {
}
};
SourceTransformation<Integer> source = new SourceTransformation<>("", new StreamSource<>(sourceFunction), BasicTypeInfo.INT_TYPE_INFO, 1);
transformations.add(new OneInputTransformation<>(source, "test", windowOperator, BasicTypeInfo.INT_TYPE_INFO, 1));
StreamGraph streamGraph = StreamGraphGenerator.generate(env, transformations, 1);
List<Integer> result = new ArrayList<>();
List<Integer> input = new ArrayList<>();
List<Integer> expected = new ArrayList<>();
input.add(1);
input.add(2);
input.add(3);
for (int value : input) {
initValue += value;
}
expected.add(initValue);
foldWindowFunction.process(foldWindowFunction.new Context() {
@Override
public TimeWindow window() {
return new TimeWindow(0, 1);
}
}, input, new ListCollector<>(result));
Assert.assertEquals(expected, result);
}
use of org.apache.flink.streaming.api.transformations.StreamTransformation in project flink by apache.
the class FoldApplyWindowFunctionTest method testFoldWindowFunctionOutputTypeConfigurable.
/**
* Tests that the FoldWindowFunction gets the output type serializer set by the
* StreamGraphGenerator and checks that the FoldWindowFunction computes the correct result.
*/
@Test
public void testFoldWindowFunctionOutputTypeConfigurable() throws Exception {
StreamExecutionEnvironment env = new DummyStreamExecutionEnvironment();
List<StreamTransformation<?>> transformations = new ArrayList<>();
int initValue = 1;
FoldApplyWindowFunction<Integer, TimeWindow, Integer, Integer, Integer> foldWindowFunction = new FoldApplyWindowFunction<>(initValue, new FoldFunction<Integer, Integer>() {
private static final long serialVersionUID = -4849549768529720587L;
@Override
public Integer fold(Integer accumulator, Integer value) throws Exception {
return accumulator + value;
}
}, new WindowFunction<Integer, Integer, Integer, TimeWindow>() {
@Override
public void apply(Integer integer, TimeWindow window, Iterable<Integer> input, Collector<Integer> out) throws Exception {
for (Integer in : input) {
out.collect(in);
}
}
}, BasicTypeInfo.INT_TYPE_INFO);
AccumulatingProcessingTimeWindowOperator<Integer, Integer, Integer> windowOperator = new AccumulatingProcessingTimeWindowOperator<>(new InternalIterableWindowFunction<>(foldWindowFunction), new KeySelector<Integer, Integer>() {
private static final long serialVersionUID = -7951310554369722809L;
@Override
public Integer getKey(Integer value) throws Exception {
return value;
}
}, IntSerializer.INSTANCE, IntSerializer.INSTANCE, 3000, 3000);
SourceFunction<Integer> sourceFunction = new SourceFunction<Integer>() {
private static final long serialVersionUID = 8297735565464653028L;
@Override
public void run(SourceContext<Integer> ctx) throws Exception {
}
@Override
public void cancel() {
}
};
SourceTransformation<Integer> source = new SourceTransformation<>("", new StreamSource<>(sourceFunction), BasicTypeInfo.INT_TYPE_INFO, 1);
transformations.add(new OneInputTransformation<>(source, "test", windowOperator, BasicTypeInfo.INT_TYPE_INFO, 1));
StreamGraph streamGraph = StreamGraphGenerator.generate(env, transformations, 1);
List<Integer> result = new ArrayList<>();
List<Integer> input = new ArrayList<>();
List<Integer> expected = new ArrayList<>();
input.add(1);
input.add(2);
input.add(3);
for (int value : input) {
initValue += value;
}
expected.add(initValue);
foldWindowFunction.apply(0, new TimeWindow(0, 1), input, new ListCollector<Integer>(result));
Assert.assertEquals(expected, result);
}
use of org.apache.flink.streaming.api.transformations.StreamTransformation in project flink by apache.
the class FoldApplyProcessWindowFunctionTest method testFoldWindowFunctionOutputTypeConfigurable.
/**
* Tests that the FoldWindowFunction gets the output type serializer set by the
* StreamGraphGenerator and checks that the FoldWindowFunction computes the correct result.
*/
@Test
public void testFoldWindowFunctionOutputTypeConfigurable() throws Exception {
StreamExecutionEnvironment env = new DummyStreamExecutionEnvironment();
List<StreamTransformation<?>> transformations = new ArrayList<>();
int initValue = 1;
FoldApplyProcessWindowFunction<Integer, TimeWindow, Integer, Integer, Integer> foldWindowFunction = new FoldApplyProcessWindowFunction<>(initValue, new FoldFunction<Integer, Integer>() {
@Override
public Integer fold(Integer accumulator, Integer value) throws Exception {
return accumulator + value;
}
}, new ProcessWindowFunction<Integer, Integer, Integer, TimeWindow>() {
@Override
public void process(Integer integer, Context context, Iterable<Integer> input, Collector<Integer> out) throws Exception {
for (Integer in : input) {
out.collect(in);
}
}
}, BasicTypeInfo.INT_TYPE_INFO);
AccumulatingProcessingTimeWindowOperator<Integer, Integer, Integer> windowOperator = new AccumulatingProcessingTimeWindowOperator<>(new InternalIterableProcessWindowFunction<>(foldWindowFunction), new KeySelector<Integer, Integer>() {
private static final long serialVersionUID = -7951310554369722809L;
@Override
public Integer getKey(Integer value) throws Exception {
return value;
}
}, IntSerializer.INSTANCE, IntSerializer.INSTANCE, 3000, 3000);
SourceFunction<Integer> sourceFunction = new SourceFunction<Integer>() {
private static final long serialVersionUID = 8297735565464653028L;
@Override
public void run(SourceContext<Integer> ctx) throws Exception {
}
@Override
public void cancel() {
}
};
SourceTransformation<Integer> source = new SourceTransformation<>("", new StreamSource<>(sourceFunction), BasicTypeInfo.INT_TYPE_INFO, 1);
transformations.add(new OneInputTransformation<>(source, "test", windowOperator, BasicTypeInfo.INT_TYPE_INFO, 1));
StreamGraph streamGraph = StreamGraphGenerator.generate(env, transformations, 1);
List<Integer> result = new ArrayList<>();
List<Integer> input = new ArrayList<>();
List<Integer> expected = new ArrayList<>();
input.add(1);
input.add(2);
input.add(3);
for (int value : input) {
initValue += value;
}
expected.add(initValue);
foldWindowFunction.process(0, foldWindowFunction.new Context() {
@Override
public TimeWindow window() {
return new TimeWindow(0, 1);
}
}, input, new ListCollector<>(result));
Assert.assertEquals(expected, result);
}
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