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Sink-kafkaSink的使用_kafka sink

kafka sink

上篇:Sink-writeToSocke的使用

若想要实现实现Exactly Once,kafka必须要0.11以上版本(可以支持事务)

直接代码

  1. package cn._51doit.flink.day01;
  2. import org.apache.flink.api.common.functions.RuntimeContext;
  3. import org.apache.flink.api.common.serialization.SimpleStringSchema;
  4. import org.apache.flink.configuration.Configuration;
  5. import org.apache.flink.streaming.api.datastream.DataStreamSource;
  6. import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
  7. import org.apache.flink.streaming.api.functions.sink.RichSinkFunction;
  8. import org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer;
  9. public class KafkaSinkDemo {
  10. public static void main(String[] args) throws Exception {
  11. //local模式默认的并行度是当前节点逻辑核的数量
  12. Configuration configuration = new Configuration();
  13. StreamExecutionEnvironment env = StreamExecutionEnvironment.createLocalEnvironmentWithWebUI(configuration);
  14. //DataStream的并行度
  15. int parallelism01 = env.getParallelism();
  16. System.out.println("执行环境默认的并行度是:"+parallelism01);
  17. DataStreamSource<String> lines = env.socketTextStream("192.168.242.102", 9999);
  18. //获取DataStream的并行度
  19. int parallelism = lines.getParallelism();
  20. System.out.println("SocketSink的并行度:"+parallelism);
  21. //FlinkKafkaProducer往kafka写数据
  22. FlinkKafkaProducer<String> kafkaproducer = new FlinkKafkaProducer<>(
  23. "Master:9092,Slave:9092,Slave:9092", "topic_log", new SimpleStringSchema());
  24. //把数据写到指定的Slink
  25. lines.addSink(kafkaproducer);
  26. env.execute();
  27. }
  28. //定义内部类
  29. public static class MyPrintSink extends RichSinkFunction<String > {
  30. private int indexOfThisSubtask;
  31. //最终把数据输出的方法(如:mysql、jdbc)
  32. @Override
  33. public void invoke(String value, Context context) throws Exception {
  34. //:拿到索引编号[从0开始]
  35. RuntimeContext runtimeContext = getRuntimeContext();
  36. int indexOfThisSubtask = runtimeContext.getIndexOfThisSubtask();
  37. System.out.println(indexOfThisSubtask+"> "+value);
  38. }
  39. }
  40. }

控制台打印输出:是一个无界流程序

查看job:http://localhost:8081/#/job/6cb13849f794d199f8bd20cb30d7c149/overview

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