WordCount - 流式 API

此示例與 WordCount 相同，但使用 Table API。有關執行和結果的詳細資訊，請參閱 WordCount 。

Maven

要使用 Streaming API，請將 flink-streaming 新增為 maven 依賴項：

<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-streaming-java_2.11</artifactId>
    <version>1.1.4</version>
</dependency>

程式碼

public class WordCountStreaming{

    public static void main( String[] args ) throws Exception{

        // set up the execution environment
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    
        // get input data
        DataStreamSource<String> source = env.fromElements(
                "To be, or not to be,--that is the question:--",
                "Whether 'tis nobler in the mind to suffer",
                "The slings and arrows of outrageous fortune",
                "Or to take arms against a sea of troubles"
        );
        
        source
                // split up the lines in pairs (2-tuples) containing: (word,1)
                .flatMap( ( String value, Collector<Tuple2<String, Integer>> out ) -> {
                    // emit the pairs
                    for( String token : value.toLowerCase().split( "\\W+" ) ){
                        if( token.length() > 0 ){
                            out.collect( new Tuple2<>( token, 1 ) );
                        }
                    }
                } )
                // due to type erasure, we need to specify the return type
                .returns( TupleTypeInfo.getBasicTupleTypeInfo( String.class, Integer.class ) )
                // group by the tuple field "0"
                .keyBy( 0 )
                // sum up tuple on field "1"
                .sum( 1 )
                // print the result
                .print();

        // start the job
        env.execute();
    }
}