use of org.apache.beam.sdk.state.CombiningState in project beam by apache.
the class ParDoTest method testSetStateCoderInferenceFailure.
@Test
@Category({ ValidatesRunner.class, UsesStatefulParDo.class, UsesSetState.class })
public void testSetStateCoderInferenceFailure() throws Exception {
final String stateId = "foo";
final String countStateId = "count";
Coder<MyInteger> myIntegerCoder = MyIntegerCoder.of();
DoFn<KV<String, Integer>, Set<MyInteger>> fn = new DoFn<KV<String, Integer>, Set<MyInteger>>() {
@StateId(stateId)
private final StateSpec<SetState<MyInteger>> setState = StateSpecs.set();
@StateId(countStateId)
private final StateSpec<CombiningState<Integer, int[], Integer>> countState = StateSpecs.combiningFromInputInternal(VarIntCoder.of(), Sum.ofIntegers());
@ProcessElement
public void processElement(ProcessContext c, @StateId(stateId) SetState<MyInteger> state, @StateId(countStateId) CombiningState<Integer, int[], Integer> count) {
state.add(new MyInteger(c.element().getValue()));
count.add(1);
if (count.read() >= 4) {
Set<MyInteger> set = Sets.newHashSet(state.read());
c.output(set);
}
}
};
thrown.expect(RuntimeException.class);
thrown.expectMessage("Unable to infer a coder for SetState and no Coder was specified.");
pipeline.apply(Create.of(KV.of("hello", 97), KV.of("hello", 42), KV.of("hello", 42), KV.of("hello", 12))).apply(ParDo.of(fn)).setCoder(SetCoder.of(myIntegerCoder));
pipeline.run();
}
use of org.apache.beam.sdk.state.CombiningState in project beam by apache.
the class ParDoTest method testMapStateCoderInference.
@Test
@Category({ ValidatesRunner.class, UsesStatefulParDo.class, UsesMapState.class })
public void testMapStateCoderInference() {
final String stateId = "foo";
final String countStateId = "count";
Coder<MyInteger> myIntegerCoder = MyIntegerCoder.of();
pipeline.getCoderRegistry().registerCoderForClass(MyInteger.class, myIntegerCoder);
DoFn<KV<String, KV<String, Integer>>, KV<String, MyInteger>> fn = new DoFn<KV<String, KV<String, Integer>>, KV<String, MyInteger>>() {
@StateId(stateId)
private final StateSpec<MapState<String, MyInteger>> mapState = StateSpecs.map();
@StateId(countStateId)
private final StateSpec<CombiningState<Integer, int[], Integer>> countState = StateSpecs.combiningFromInputInternal(VarIntCoder.of(), Sum.ofIntegers());
@ProcessElement
public void processElement(ProcessContext c, @StateId(stateId) MapState<String, MyInteger> state, @StateId(countStateId) CombiningState<Integer, int[], Integer> count) {
KV<String, Integer> value = c.element().getValue();
state.put(value.getKey(), new MyInteger(value.getValue()));
count.add(1);
if (count.read() >= 4) {
Iterable<Map.Entry<String, MyInteger>> iterate = state.entries().read();
for (Map.Entry<String, MyInteger> entry : iterate) {
c.output(KV.of(entry.getKey(), entry.getValue()));
}
}
}
};
PCollection<KV<String, MyInteger>> output = pipeline.apply(Create.of(KV.of("hello", KV.of("a", 97)), KV.of("hello", KV.of("b", 42)), KV.of("hello", KV.of("b", 42)), KV.of("hello", KV.of("c", 12)))).apply(ParDo.of(fn)).setCoder(KvCoder.of(StringUtf8Coder.of(), myIntegerCoder));
PAssert.that(output).containsInAnyOrder(KV.of("a", new MyInteger(97)), KV.of("b", new MyInteger(42)), KV.of("c", new MyInteger(12)));
pipeline.run();
}
use of org.apache.beam.sdk.state.CombiningState in project beam by apache.
the class ParDoTest method testCombiningStateCoderInference.
@Test
@Category({ ValidatesRunner.class, UsesStatefulParDo.class })
public void testCombiningStateCoderInference() {
pipeline.getCoderRegistry().registerCoderForClass(MyInteger.class, MyIntegerCoder.of());
final String stateId = "foo";
DoFn<KV<String, Integer>, String> fn = new DoFn<KV<String, Integer>, String>() {
private static final int EXPECTED_SUM = 16;
@StateId(stateId)
private final StateSpec<CombiningState<Integer, MyInteger, Integer>> combiningState = StateSpecs.combining(new Combine.CombineFn<Integer, MyInteger, Integer>() {
@Override
public MyInteger createAccumulator() {
return new MyInteger(0);
}
@Override
public MyInteger addInput(MyInteger accumulator, Integer input) {
return new MyInteger(accumulator.getValue() + input);
}
@Override
public MyInteger mergeAccumulators(Iterable<MyInteger> accumulators) {
int newValue = 0;
for (MyInteger myInteger : accumulators) {
newValue += myInteger.getValue();
}
return new MyInteger(newValue);
}
@Override
public Integer extractOutput(MyInteger accumulator) {
return accumulator.getValue();
}
});
@ProcessElement
public void processElement(ProcessContext c, @StateId(stateId) CombiningState<Integer, MyInteger, Integer> state) {
state.add(c.element().getValue());
Integer currentValue = state.read();
if (currentValue == EXPECTED_SUM) {
c.output("right on");
}
}
};
PCollection<String> output = pipeline.apply(Create.of(KV.of("hello", 3), KV.of("hello", 6), KV.of("hello", 7))).apply(ParDo.of(fn));
// There should only be one moment at which the average is exactly 16
PAssert.that(output).containsInAnyOrder("right on");
pipeline.run();
}
use of org.apache.beam.sdk.state.CombiningState in project beam by apache.
the class ParDoTest method testCombiningStateCoderInferenceFailure.
@Test
@Category({ ValidatesRunner.class, UsesStatefulParDo.class })
public void testCombiningStateCoderInferenceFailure() throws Exception {
final String stateId = "foo";
DoFn<KV<String, Integer>, String> fn = new DoFn<KV<String, Integer>, String>() {
private static final int EXPECTED_SUM = 16;
@StateId(stateId)
private final StateSpec<CombiningState<Integer, MyInteger, Integer>> combiningState = StateSpecs.combining(new Combine.CombineFn<Integer, MyInteger, Integer>() {
@Override
public MyInteger createAccumulator() {
return new MyInteger(0);
}
@Override
public MyInteger addInput(MyInteger accumulator, Integer input) {
return new MyInteger(accumulator.getValue() + input);
}
@Override
public MyInteger mergeAccumulators(Iterable<MyInteger> accumulators) {
int newValue = 0;
for (MyInteger myInteger : accumulators) {
newValue += myInteger.getValue();
}
return new MyInteger(newValue);
}
@Override
public Integer extractOutput(MyInteger accumulator) {
return accumulator.getValue();
}
});
@ProcessElement
public void processElement(ProcessContext c, @StateId(stateId) CombiningState<Integer, MyInteger, Integer> state) {
state.add(c.element().getValue());
Integer currentValue = state.read();
if (currentValue == EXPECTED_SUM) {
c.output("right on");
}
}
};
thrown.expect(RuntimeException.class);
thrown.expectMessage("Unable to infer a coder for CombiningState and no Coder was specified.");
pipeline.apply(Create.of(KV.of("hello", 3), KV.of("hello", 6), KV.of("hello", 7))).apply(ParDo.of(fn));
pipeline.run();
}
use of org.apache.beam.sdk.state.CombiningState in project beam by apache.
the class ParDoTest method testMapStateCoderInferenceFailure.
@Test
@Category({ ValidatesRunner.class, UsesStatefulParDo.class, UsesMapState.class })
public void testMapStateCoderInferenceFailure() throws Exception {
final String stateId = "foo";
final String countStateId = "count";
Coder<MyInteger> myIntegerCoder = MyIntegerCoder.of();
DoFn<KV<String, KV<String, Integer>>, KV<String, MyInteger>> fn = new DoFn<KV<String, KV<String, Integer>>, KV<String, MyInteger>>() {
@StateId(stateId)
private final StateSpec<MapState<String, MyInteger>> mapState = StateSpecs.map();
@StateId(countStateId)
private final StateSpec<CombiningState<Integer, int[], Integer>> countState = StateSpecs.combiningFromInputInternal(VarIntCoder.of(), Sum.ofIntegers());
@ProcessElement
public void processElement(ProcessContext c, @StateId(stateId) MapState<String, MyInteger> state, @StateId(countStateId) CombiningState<Integer, int[], Integer> count) {
KV<String, Integer> value = c.element().getValue();
state.put(value.getKey(), new MyInteger(value.getValue()));
count.add(1);
if (count.read() >= 4) {
Iterable<Map.Entry<String, MyInteger>> iterate = state.entries().read();
for (Map.Entry<String, MyInteger> entry : iterate) {
c.output(KV.of(entry.getKey(), entry.getValue()));
}
}
}
};
thrown.expect(RuntimeException.class);
thrown.expectMessage("Unable to infer a coder for MapState and no Coder was specified.");
pipeline.apply(Create.of(KV.of("hello", KV.of("a", 97)), KV.of("hello", KV.of("b", 42)), KV.of("hello", KV.of("b", 42)), KV.of("hello", KV.of("c", 12)))).apply(ParDo.of(fn)).setCoder(KvCoder.of(StringUtf8Coder.of(), myIntegerCoder));
pipeline.run();
}
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