本文整理汇总了Java中org.apache.flink.hadoopcompatibility.mapred.wrapper.HadoopOutputCollector类的典型用法代码示例。如果您正苦于以下问题：Java HadoopOutputCollector类的具体用法？Java HadoopOutputCollector怎么用？Java HadoopOutputCollector使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
HadoopOutputCollector类属于org.apache.flink.hadoopcompatibility.mapred.wrapper包，在下文中一共展示了HadoopOutputCollector类的8个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: open
import org.apache.flink.hadoopcompatibility.mapred.wrapper.HadoopOutputCollector; //导入依赖的package包/类
@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);
}
示例2: open
import org.apache.flink.hadoopcompatibility.mapred.wrapper.HadoopOutputCollector; //导入依赖的package包/类
@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<>();
}
示例3: open
import org.apache.flink.hadoopcompatibility.mapred.wrapper.HadoopOutputCollector; //导入依赖的package包/类
@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);
}
示例4: open
import org.apache.flink.hadoopcompatibility.mapred.wrapper.HadoopOutputCollector; //导入依赖的package包/类
@Override
public void open(Configuration parameters) throws Exception {
super.open(parameters);
this.mapper.configure(jobConf);
this.reporter = new HadoopDummyReporter();
this.outputCollector = new HadoopOutputCollector<KEYOUT, VALUEOUT>();
}
示例5: open
import org.apache.flink.hadoopcompatibility.mapred.wrapper.HadoopOutputCollector; //导入依赖的package包/类
@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<>();
}
示例6: open
import org.apache.flink.hadoopcompatibility.mapred.wrapper.HadoopOutputCollector; //导入依赖的package包/类
@Override
public void open(Configuration parameters) throws Exception {
super.open(parameters);
this.mapper.configure(jobConf);
this.reporter = new HadoopDummyReporter();
this.outputCollector = new HadoopOutputCollector<KEYOUT, VALUEOUT>();
}
示例7: open
import org.apache.flink.hadoopcompatibility.mapred.wrapper.HadoopOutputCollector; //导入依赖的package包/类
@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);
this.valueIterator = new HadoopTupleUnwrappingIterator<KEYIN, VALUEIN>(inKeyClass);
this.combineCollector = new HadoopOutputCollector<KEYIN, VALUEIN>();
this.reduceCollector = new HadoopOutputCollector<KEYOUT, VALUEOUT>();
}
示例8: open
import org.apache.flink.hadoopcompatibility.mapred.wrapper.HadoopOutputCollector; //导入依赖的package包/类
@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);
this.valueIterator = new HadoopTupleUnwrappingIterator<KEYIN, VALUEIN>(inKeyClass);
}