Java Code Examples for org.apache.flink.api.java.typeutils.TypeExtractor#getParameterType()

The following examples show how to use org.apache.flink.api.java.typeutils.TypeExtractor#getParameterType() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source Project: Flink-CEPplus   File: HadoopReduceCombineFunction.java    License: Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
@Override
public void open(Configuration parameters) throws Exception {
	super.open(parameters);
	this.reducer.configure(jobConf);
	this.combiner.configure(jobConf);

	this.reporter = new HadoopDummyReporter();
	Class<KEYIN> inKeyClass = (Class<KEYIN>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 0);
	TypeSerializer<KEYIN> keySerializer = TypeExtractor.getForClass(inKeyClass).createSerializer(getRuntimeContext().getExecutionConfig());
	this.valueIterator = new HadoopTupleUnwrappingIterator<>(keySerializer);
	this.combineCollector = new HadoopOutputCollector<>();
	this.reduceCollector = new HadoopOutputCollector<>();
}
Example 2
Source Project: Flink-CEPplus   File: HadoopReduceCombineFunction.java    License: Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
@Override
public TypeInformation<Tuple2<KEYOUT, VALUEOUT>> getProducedType() {
	Class<KEYOUT> outKeyClass = (Class<KEYOUT>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 2);
	Class<VALUEOUT> outValClass = (Class<VALUEOUT>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 3);

	final TypeInformation<KEYOUT> keyTypeInfo = TypeExtractor.getForClass(outKeyClass);
	final TypeInformation<VALUEOUT> valueTypleInfo = TypeExtractor.getForClass(outValClass);
	return new TupleTypeInfo<>(keyTypeInfo, valueTypleInfo);
}
Example 3
Source Project: Flink-CEPplus   File: HadoopReduceFunction.java    License: Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
@Override
public void open(Configuration parameters) throws Exception {
	super.open(parameters);
	this.reducer.configure(jobConf);

	this.reporter = new HadoopDummyReporter();
	this.reduceCollector = new HadoopOutputCollector<KEYOUT, VALUEOUT>();
	Class<KEYIN> inKeyClass = (Class<KEYIN>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 0);
	TypeSerializer<KEYIN> keySerializer = TypeExtractor.getForClass(inKeyClass).createSerializer(getRuntimeContext().getExecutionConfig());
	this.valueIterator = new HadoopTupleUnwrappingIterator<KEYIN, VALUEIN>(keySerializer);
}
Example 4
Source Project: Flink-CEPplus   File: HadoopReduceFunction.java    License: Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
@Override
public TypeInformation<Tuple2<KEYOUT, VALUEOUT>> getProducedType() {
	Class<KEYOUT> outKeyClass = (Class<KEYOUT>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 2);
	Class<VALUEOUT> outValClass = (Class<VALUEOUT>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 3);

	final TypeInformation<KEYOUT> keyTypeInfo = TypeExtractor.getForClass((Class<KEYOUT>) outKeyClass);
	final TypeInformation<VALUEOUT> valueTypleInfo = TypeExtractor.getForClass((Class<VALUEOUT>) outValClass);
	return new TupleTypeInfo<Tuple2<KEYOUT, VALUEOUT>>(keyTypeInfo, valueTypleInfo);
}
Example 5
Source Project: Flink-CEPplus   File: HadoopMapFunction.java    License: Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
@Override
public TypeInformation<Tuple2<KEYOUT, VALUEOUT>> getProducedType() {
	Class<KEYOUT> outKeyClass = (Class<KEYOUT>) TypeExtractor.getParameterType(Mapper.class, mapper.getClass(), 2);
	Class<VALUEOUT> outValClass = (Class<VALUEOUT>) TypeExtractor.getParameterType(Mapper.class, mapper.getClass(), 3);

	final TypeInformation<KEYOUT> keyTypeInfo = TypeExtractor.getForClass((Class<KEYOUT>) outKeyClass);
	final TypeInformation<VALUEOUT> valueTypleInfo = TypeExtractor.getForClass((Class<VALUEOUT>) outValClass);
	return new TupleTypeInfo<Tuple2<KEYOUT, VALUEOUT>>(keyTypeInfo, valueTypleInfo);
}
Example 6
Source Project: flink   File: HadoopReduceCombineFunction.java    License: Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
@Override
public void open(Configuration parameters) throws Exception {
	super.open(parameters);
	this.reducer.configure(jobConf);
	this.combiner.configure(jobConf);

	this.reporter = new HadoopDummyReporter();
	Class<KEYIN> inKeyClass = (Class<KEYIN>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 0);
	TypeSerializer<KEYIN> keySerializer = TypeExtractor.getForClass(inKeyClass).createSerializer(getRuntimeContext().getExecutionConfig());
	this.valueIterator = new HadoopTupleUnwrappingIterator<>(keySerializer);
	this.combineCollector = new HadoopOutputCollector<>();
	this.reduceCollector = new HadoopOutputCollector<>();
}
Example 7
Source Project: flink   File: HadoopReduceCombineFunction.java    License: Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
@Override
public TypeInformation<Tuple2<KEYOUT, VALUEOUT>> getProducedType() {
	Class<KEYOUT> outKeyClass = (Class<KEYOUT>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 2);
	Class<VALUEOUT> outValClass = (Class<VALUEOUT>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 3);

	final TypeInformation<KEYOUT> keyTypeInfo = TypeExtractor.getForClass(outKeyClass);
	final TypeInformation<VALUEOUT> valueTypleInfo = TypeExtractor.getForClass(outValClass);
	return new TupleTypeInfo<>(keyTypeInfo, valueTypleInfo);
}
Example 8
Source Project: flink   File: HadoopReduceFunction.java    License: Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
@Override
public void open(Configuration parameters) throws Exception {
	super.open(parameters);
	this.reducer.configure(jobConf);

	this.reporter = new HadoopDummyReporter();
	this.reduceCollector = new HadoopOutputCollector<KEYOUT, VALUEOUT>();
	Class<KEYIN> inKeyClass = (Class<KEYIN>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 0);
	TypeSerializer<KEYIN> keySerializer = TypeExtractor.getForClass(inKeyClass).createSerializer(getRuntimeContext().getExecutionConfig());
	this.valueIterator = new HadoopTupleUnwrappingIterator<KEYIN, VALUEIN>(keySerializer);
}
Example 9
Source Project: flink   File: HadoopReduceFunction.java    License: Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
@Override
public TypeInformation<Tuple2<KEYOUT, VALUEOUT>> getProducedType() {
	Class<KEYOUT> outKeyClass = (Class<KEYOUT>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 2);
	Class<VALUEOUT> outValClass = (Class<VALUEOUT>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 3);

	final TypeInformation<KEYOUT> keyTypeInfo = TypeExtractor.getForClass((Class<KEYOUT>) outKeyClass);
	final TypeInformation<VALUEOUT> valueTypleInfo = TypeExtractor.getForClass((Class<VALUEOUT>) outValClass);
	return new TupleTypeInfo<Tuple2<KEYOUT, VALUEOUT>>(keyTypeInfo, valueTypleInfo);
}
Example 10
Source Project: flink   File: HadoopMapFunction.java    License: Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
@Override
public TypeInformation<Tuple2<KEYOUT, VALUEOUT>> getProducedType() {
	Class<KEYOUT> outKeyClass = (Class<KEYOUT>) TypeExtractor.getParameterType(Mapper.class, mapper.getClass(), 2);
	Class<VALUEOUT> outValClass = (Class<VALUEOUT>) TypeExtractor.getParameterType(Mapper.class, mapper.getClass(), 3);

	final TypeInformation<KEYOUT> keyTypeInfo = TypeExtractor.getForClass((Class<KEYOUT>) outKeyClass);
	final TypeInformation<VALUEOUT> valueTypleInfo = TypeExtractor.getForClass((Class<VALUEOUT>) outValClass);
	return new TupleTypeInfo<Tuple2<KEYOUT, VALUEOUT>>(keyTypeInfo, valueTypleInfo);
}
Example 11
Source Project: flink   File: HadoopReduceCombineFunction.java    License: Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
@Override
public void open(Configuration parameters) throws Exception {
	super.open(parameters);
	this.reducer.configure(jobConf);
	this.combiner.configure(jobConf);

	this.reporter = new HadoopDummyReporter();
	Class<KEYIN> inKeyClass = (Class<KEYIN>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 0);
	TypeSerializer<KEYIN> keySerializer = TypeExtractor.getForClass(inKeyClass).createSerializer(getRuntimeContext().getExecutionConfig());
	this.valueIterator = new HadoopTupleUnwrappingIterator<>(keySerializer);
	this.combineCollector = new HadoopOutputCollector<>();
	this.reduceCollector = new HadoopOutputCollector<>();
}
Example 12
Source Project: flink   File: HadoopReduceCombineFunction.java    License: Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
@Override
public TypeInformation<Tuple2<KEYOUT, VALUEOUT>> getProducedType() {
	Class<KEYOUT> outKeyClass = (Class<KEYOUT>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 2);
	Class<VALUEOUT> outValClass = (Class<VALUEOUT>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 3);

	final TypeInformation<KEYOUT> keyTypeInfo = TypeExtractor.getForClass(outKeyClass);
	final TypeInformation<VALUEOUT> valueTypleInfo = TypeExtractor.getForClass(outValClass);
	return new TupleTypeInfo<>(keyTypeInfo, valueTypleInfo);
}
Example 13
Source Project: flink   File: HadoopReduceFunction.java    License: Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
@Override
public void open(Configuration parameters) throws Exception {
	super.open(parameters);
	this.reducer.configure(jobConf);

	this.reporter = new HadoopDummyReporter();
	this.reduceCollector = new HadoopOutputCollector<KEYOUT, VALUEOUT>();
	Class<KEYIN> inKeyClass = (Class<KEYIN>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 0);
	TypeSerializer<KEYIN> keySerializer = TypeExtractor.getForClass(inKeyClass).createSerializer(getRuntimeContext().getExecutionConfig());
	this.valueIterator = new HadoopTupleUnwrappingIterator<KEYIN, VALUEIN>(keySerializer);
}
Example 14
Source Project: flink   File: HadoopReduceFunction.java    License: Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
@Override
public TypeInformation<Tuple2<KEYOUT, VALUEOUT>> getProducedType() {
	Class<KEYOUT> outKeyClass = (Class<KEYOUT>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 2);
	Class<VALUEOUT> outValClass = (Class<VALUEOUT>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 3);

	final TypeInformation<KEYOUT> keyTypeInfo = TypeExtractor.getForClass((Class<KEYOUT>) outKeyClass);
	final TypeInformation<VALUEOUT> valueTypleInfo = TypeExtractor.getForClass((Class<VALUEOUT>) outValClass);
	return new TupleTypeInfo<Tuple2<KEYOUT, VALUEOUT>>(keyTypeInfo, valueTypleInfo);
}
Example 15
Source Project: flink   File: HadoopMapFunction.java    License: Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
@Override
public TypeInformation<Tuple2<KEYOUT, VALUEOUT>> getProducedType() {
	Class<KEYOUT> outKeyClass = (Class<KEYOUT>) TypeExtractor.getParameterType(Mapper.class, mapper.getClass(), 2);
	Class<VALUEOUT> outValClass = (Class<VALUEOUT>) TypeExtractor.getParameterType(Mapper.class, mapper.getClass(), 3);

	final TypeInformation<KEYOUT> keyTypeInfo = TypeExtractor.getForClass((Class<KEYOUT>) outKeyClass);
	final TypeInformation<VALUEOUT> valueTypleInfo = TypeExtractor.getForClass((Class<VALUEOUT>) outValClass);
	return new TupleTypeInfo<Tuple2<KEYOUT, VALUEOUT>>(keyTypeInfo, valueTypleInfo);
}