首先本地将kafka的docker容器镜像下载到本地并运行:
docker search kafka
SAP Data Intelligence Modeler里的Kafka Producer和Kafka Consumer docker pull spotify/kafka
SAP Data Intelligence Modeler里的Kafka Producer和Kafka Consumer docker run --name kafka3 spotify/kafka
SAP Data Intelligence Modeler里的Kafka Producer和Kafka Consumer docker ps命令,查看tcp端口号:
SAP Data Intelligence Modeler里的Kafka Producer和Kafka Consumer 新建一个graph,使用典型的生产者-消费者模型:将Data Generator生成的数据交给kafka Producer operator;
而Kafka Consumer从kafka producer里读取出data Generator生成的数据,通过ToString converter,输出到Terminal Operator上。
SAP Data Intelligence Modeler里的Kafka Producer和Kafka Consumer
SAP Data Intelligence Modeler里的Kafka Producer和Kafka Consumer kafka producer和consumer使用的broker和topic必须一致:
SAP Data Intelligence Modeler里的Kafka Producer和Kafka Consumer
SAP Data Intelligence Modeler里的Kafka Producer和Kafka Consumer 运行graph,可以看到
SAP Data Intelligence Modeler里的Kafka Producer和Kafka Consumer
SAP Data Intelligence Modeler里的Kafka Producer和Kafka Consumer 要获取更多Jerry的原创文章,请关注公众号"汪子熙":
SAP Data Intelligence Modeler里的Kafka Producer和Kafka Consumer