We can write a Producer in JavaScript using the kafka-node npm module. Now, Kafka is set up and running on Writing a Kafka Producer in JavaScript We can now see that topic if we run the list topic command: $ bin/kafka-topics.sh - list - zookeeper localhost:2181 v $ bin/kafka-topics.sh - list - zookeeper localhost:2181Īlternatively, instead of manually creating topics you can also configure your brokers to auto-create topics when a non-existent topic is published to. Let’s create a topic named v with a single partition and only one replica: $ bin/kafka-topics.sh - create - zookeeper localhost:2181 - replication-factor 1 - partitions 1 - topic v $ bin/kafka-topics.sh - create - zookeeper localhost:2181 - replication-factor 1 - partitions 1 - topic v Now start the Kafka server: $ bin/kafka-server-start.sh config/server.properties $ bin/kafka-server-start.sh config/server.properties $ bin/zookeeper-server-start.sh config/zookeeper.properties $ bin/zookeeper-server-start.sh config/zookeeper.properties You can use the convenience script packaged with kafka to get a quick-and-dirty single-node ZooKeeper instance. Kafka uses ZooKeeper so you need to first start a ZooKeeper server if you don’t already have one.
#Nodejs kafka download
Follow steps 1 to 4 on the guide.įirst, download Kafka. To setup Kafka locally, we’re just going to be using the Quickstart Guide on the website. Through Kafka’s architecture, we are able to decouple the production of messages from the consumption of them. Kafka guarantees the order of messages in a given topics, regardless of the number of consumers or producers.In the event that a consumer goes down, it is able to restart streaming from where it left off, by keeping track of the topic’s offset.Consumers can subscribe to a given topic, and receive a stream of records, and be alerted whenever a new record is sent.
Each record consists of a key, value, and timestamp.
0 kommentar(er)
