【发布时间】:2018-11-06 10:14:44
【问题描述】:
我是 Kafka 的新手,使用 Kafka-node。我正在使用 Kafka 进行实时数据处理。 该系统有一个生产者和多个消费者。如果有任何一个消费者同时运行,我能够接收数据,但如果我运行两个消费者,则只有一个消费者会接收数据,而另一个消费者不会收到数据。
kafka 生产者的代码是:
const config = require('../config');
const logger = require('./logger');
const kafka = require('kafka-node'),
HighLevelProducer = kafka.HighLevelProducer,
client = new kafka.Client(`${config.kafka.host}:${config.kafka.port}`),
producer = new HighLevelProducer(client);
producer.on('ready', () => {
logger.info("Events producer to kafka is ready...");
});
producer.on('error', (err) => {
logger.error("Error while starting kafka producer:" + err.message);
});
const queueEvent = (event, callback) => {
const payloads = [
{ topic: config.kafka.queueName, messages: JSON.stringify(event, null,
2) },
];
producer.send(payloads, (err, data) => {
if (err) {
logger.error(`Error while producing data: ${err.message}`);
callback(err);
} else {
callback(null, data);
}
});
};
module.exports = {
queueEvent
};
为所有消费者完成的配置如下所示:
const kafka = require('kafka-node');
const logger = require('../common/logger');
const config = require('../common/config');
const eventDao = require('../models/event');
const _ = require('lodash');
const { getDeviceHierarchy } = require('../common/apiUtils');
const options = { autoCommit: true, fetchMaxWaitMs: 1000, fetchMaxBytes:
1024 * 1024 };
const HighLevelConsumer = kafka.HighLevelConsumer,
client = new kafka.Client(`${config.kafka.host}:${config.kafka.port}`),
consumer = new HighLevelConsumer(
client,
[
{ topic: config.kafka.queueName, partition: 0 }
],
options
);
我使用的是 Kafka 的 docker 镜像,下面是我所做的设置
docker run -d -p 2181:2181 -p 3030:3030 -p 8081-8083:8081-8083 -p 9581-9585:9581-9585 -p 9092:9092 -e ADV_HOST=localhost -e DISABLE=azure -documentdb,blockchain,bloomberg,cassandra,coap,druid,elastic,elastic5,ftp,hazelcast,hbase,influxdb,jms,kudu,mongodb,mqtt,redis,rethink,voltdb,yahoo,hdfs,jdbc,elasticsearch,s3,twitter -e CONNECT_HEAP=6G -e RUNNING_SAMPLEDATA=0 -e RUNTESTS=0 landoop/fast-data-dev:latest**
【问题讨论】:
标签: apache-kafka