org.apache.flink.hadoopcompatibility.mapred.example

Class WordCount.Tokenizer

java.lang.Object

org.apache.flink.api.common.functions.AbstractRichFunction

org.apache.flink.api.java.functions.RichFlatMapFunction<Tuple2<LongWritable,Text>,Tuple2<String,Integer>>

org.apache.flink.hadoopcompatibility.mapred.example.WordCount.Tokenizer

All Implemented Interfaces:

Serializable, org.apache.flink.api.common.functions.FlatMapFunction<Tuple2<LongWritable,Text>,Tuple2<String,Integer>>, org.apache.flink.api.common.functions.Function, org.apache.flink.api.common.functions.RichFunction

Enclosing class:

WordCount

public static final class WordCount.Tokenizer
extends RichFlatMapFunction<Tuple2<LongWritable,Text>,Tuple2<String,Integer>>

Splits a line into words and converts Hadoop Writables into normal Java data types.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
WordCount.Tokenizer()

Method Summary

Methods

Modifier and Type	Method and Description
void	flatMap(Tuple2<LongWritable,Text> value, org.apache.flink.util.Collector<Tuple2<String,Integer>> out)

Methods inherited from class org.apache.flink.api.common.functions.AbstractRichFunction

close, getIterationRuntimeContext, getRuntimeContext, open, setRuntimeContext

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

WordCount.Tokenizer

public WordCount.Tokenizer()

Method Detail

flatMap

public void flatMap(Tuple2<LongWritable,Text> value,
           org.apache.flink.util.Collector<Tuple2<String,Integer>> out)

Specified by:

flatMap in interface org.apache.flink.api.common.functions.FlatMapFunction<Tuple2<LongWritable,Text>,Tuple2<String,Integer>>

Specified by:

flatMap in class RichFlatMapFunction<Tuple2<LongWritable,Text>,Tuple2<String,Integer>>