所需jar包
org.apache.flink flink-java1.11.1 org.apache.flink flink-streaming-java_2.111.11.1 org.apache.flink flink-clients_2.111.11.1 org.apache.flink flink-table-planner-blink_2.111.11.1 org.apache.flink flink-connector-kafka_2.111.11.1 org.apache.flink flink-json1.11.0 org.apache.flink flink-runtime-web_2.111.11.1
通过windows命令可以进行测试
nc -l -p 9999
找不到命令的话需要单独安装 netcat 1.11 for Win32/Win64
在安装根目录执行此命令,即可进行单词数量统计
java代码
package com.flink.demo;
import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.util.Collector;
public class FlinkDemo {
public static void main(String[] args) {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
DataStreamSource text = env.socketTextStream("localhost", 9999, "n");
SingleOutputStreamOperator flatMap = text.flatMap(new FlatMapFunction() {
@Override
public void flatMap(String calue, Collector collector) throws Exception {
for (String s : calue.split(" ")) {
collector.collect(s);
}
}
});
SingleOutputStreamOperator> map = flatMap.map(new MapFunction>() {
@Override
public Tuple2 map(String value) throws Exception {
return Tuple2.of(value, 1);
}
});
SingleOutputStreamOperator> sum = map.keyBy(0).sum(1);
sum.print();
try {
env.execute("socket word count");
} catch (Exception e) {
e.printStackTrace();
}
}
}
启动程序后,在命令行输入
控制台打印



