flink实时将不同事件发送到不同topic

需求背景：

接入kafka 事件分区数据sink到按照项目名创建的topic里

代码实现：

package cn.sensorsdata.dev;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONObject;
import cn.sensorsdata.utils.GetPropertiesUtils;
import org.apache.flink.api.common.functions.FilterFunction;
import org.apache.flink.api.common.restartstrategy.RestartStrategies;
import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.api.common.time.Time;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.sink.SinkFunction;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer;
import org.apache.flink.streaming.connectors.kafka.KafkaSerializationSchema;

import org.apache.kafka.clients.producer.ProducerRecord;


import java.nio.charset.StandardCharsets;
import java.util.HashMap;
import java.util.Map;
import java.util.Properties;
import java.util.concurrent.TimeUnit;

public class SinkKafkaToKafka {

  public static final String KEYDESERIALIZER="key.deserializer";
  public static final String VALUEDESERIALIZER="value.deserializer";
  public static final String KEYDESERIALIZERVALUE="org.apache.kafka.common.serialization.StringDeserializer";
  public static final String VALUEDESERIALIZERVALUE="org.apache.kafka.common.serialization.StringDeserializer";
  public static final String BOOTSTRAPSERVERS="bootstrap.servers";
  public static final String ZOOKEEPERConNECT="zookeeper.connect";



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

      //获取已经存在的项目名称
      Map projectList=getProjectList();

      final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
      env.setRestartStrategy(RestartStrategies.fixedDelayRestart( 3,// 尝试重启的次数
              Time.of(10, TimeUnit.SECONDS)));

      //设置消费者配置
      Properties props = new Properties();
      props.put(BOOTSTRAPSERVERS, GetPropertiesUtils.getDecodeKeyUtil(BOOTSTRAPSERVERS));
      props.put(ZOOKEEPERCONNECT, GetPropertiesUtils.getDecodeKeyUtil(ZOOKEEPERCONNECT));
      props.put(KEYDESERIALIZER, KEYDESERIALIZERVALUE);
      props.put(VALUEDESERIALIZER, VALUEDESERIALIZERVALUE);
      props.setProperty("group.id", GetPropertiesUtils.getDecodeKeyUtil("group.id"));


      DataStreamSource student = env.addSource(new FlinkKafkaConsumer<>(
              GetPropertiesUtils.getDecodeKeyUtil("topic"),   //这个 kafka topic 需要和上面的工具类的 kafka_dumper_launchertopic 一致
              new SimpleStringSchema(),
              props)).setParallelism(1);

      //设置kafka生产者配置
      Properties properties = new Properties();
      properties.put(BOOTSTRAPSERVERS, GetPropertiesUtils.getDecodeKeyUtil(BOOTSTRAPSERVERS));
      properties.put(ZOOKEEPERCONNECT, GetPropertiesUtils.getDecodeKeyUtil(ZOOKEEPERCONNECT));
      properties.put(KEYDESERIALIZER, KEYDESERIALIZERVALUE);
      properties.put(VALUEDESERIALIZER, VALUEDESERIALIZERVALUE);

      //根据消息不同将数据发送到不同的分区
      KafkaSerializationSchema serializationSchema = (element, timestamp) -> {
        JSonObject jsonObject = JSON.parseObject(element);
        String topicStr="dumper_project_"+jsonObject.get("project_id")+"_event_topic";

        return new ProducerRecord<>(
                topicStr, // target topic
                element.getBytes(StandardCharsets.UTF_8)); // record contents
      };

      //将消息发送到不同分区
      FlinkKafkaProducer myProducer = new FlinkKafkaProducer<>(
              "default",             // target topic
              serializationSchema,    // serialization schema
              properties,             // producer config
              FlinkKafkaProducer.Semantic.EXACTLY_ONCE); // fault-tolerances

      //过滤非不属于既定的项目数据
      student.filter(new FilterFunction() {
        @Override
        public boolean filter(String value) throws Exception {
          JSonObject jsonObject = JSON.parseObject(value);
          return projectList.get(jsonObject.getString("project"))!=null;
        }
      }).addSink((SinkFunction) myProducer);

     //执行job
     env.execute("flink learning connectors kafka");

    }


  
  public static Map getProjectList(){
      String[] projectList = GetPropertiesUtils.getDecodeKeyUtil("projectList").split(",");
      HashMap hashMap=new HashMap<>();
      for(String x :projectList){
        hashMap.put(x,x);
      }
      return hashMap;
    }
}