搭建 SpringBoot + Zookeeper + Kafka 集群
安装 Zookeeper 和 Kafka
Kafka 依赖 Zookeeper，所以我们需要在安装 Kafka 之前先拥有 Zookeeper。准备如下的 docker-compose.yaml 文件，将文件中的主机地址 192.168.1.100 替换成你自己的环境中的主机地址即可。
version: "3"
services:
zookeeper:
image: zookeeper
build:
context: ./
container_name: zookeeper
ports:
- 2181:2181
volumes:
- ./data/zookeeper/data:/data
- ./data/zookeeper/datalog:/datalog
- ./data/zookeeper/logs:/logs
restart: always
kafka_node_0:
depends_on:
- zookeeper
build:
context: ./
container_name: kafka-node-0
image: wurstmeister/kafka
environment:
KAFKA_BROKER_ID: 0
KAFKA_ZOOKEEPER_CONNECT: 192.168.1.100:2181
KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://192.168.1.100:9092
KAFKA_LISTENERS: PLAINTEXT://0.0.0.0:9092
KAFKA_NUM_PARTITIONS: 3
KAFKA_DEFAULT_REPLICATION_FACTOR: 2
ports:
- 9092:9092
volumes:
- ./data/kafka/node_0:/kafka
restart: unless-stopped
kafka_node_1:
depends_on:
- kafka_node_0
build:
context: ./
container_name: kafka-node-1
image: wurstmeister/kafka
environment:
KAFKA_BROKER_ID: 1
KAFKA_ZOOKEEPER_CONNECT: 192.168.1.100:2181
KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://192.168.1.100:9093
KAFKA_LISTENERS: PLAINTEXT://0.0.0.0:9093
KAFKA_NUM_PARTITIONS: 3
KAFKA_DEFAULT_REPLICATION_FACTOR: 2
ports:
- 9093:9093
volumes:
- ./data/kafka/node_1:/kafka
restart: unless-stopped
kafka_node_2:
depends_on:
- kafka_node_1
build:
context: ./
container_name: kafka-node-2
image: wurstmeister/kafka
environment:
KAFKA_BROKER_ID: 2
KAFKA_ZOOKEEPER_CONNECT: 192.168.1.100:2181
KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://192.168.1.100:9094
KAFKA_LISTENERS: PLAINTEXT://0.0.0.0:9094
KAFKA_NUM_PARTITIONS: 3
KAFKA_DEFAULT_REPLICATION_FACTOR: 2
ports:
- 9094:9094
volumes:
- ./data/kafka/node_2:/kafka
restart: unless-stopped输入 docker-compose up -d 运行脚本文件进行集群构建。等待一会儿，得到如下结果即为成功。
SpringBoot 集成 Kafka 集群
创建一个全新的 SpringBoot 工程，在 build.gradle 文件中添加下列依赖。
dependencies {
...
...
implementation 'org.springframework.kafka:spring-kafka:2.5.2.RELEASE'
implementation 'com.alibaba:fastjson:1.2.71'
}1.在 application.properties 进行 Kafka 相关参数配置
spring.kafka.bootstrap-servers=192.168.1.100:9092,192.168.1.100:9093,192.168.1.100:9094
spring.kafka.producer.retries=0
spring.kafka.producer.batch-size=16384
spring.kafka.producer.buffer-memory=33554432
spring.kafka.producer.key-serializer=org.apache.kafka.common.serialization.StringSerializer
spring.kafka.producer.value-serializer=org.apache.kafka.common.serialization.StringSerializer
spring.kafka.consumer.auto-offset-reset=latest
spring.kafka.consumer.enable-auto-commit=true
spring.kafka.consumer.auto-commit-interval=1002.创建消息体类。
public class Message {
private Long id;
private String message;
private Date sendAt;
}- 创建消息发送者
public class Sender {
@Autowired
private KafkaTemplate<String, String> kafkaTemplate;
public void send() {
Message message = new Message();
message.setId(System.currentTimeMillis());
message.setMessage(UUID.randomUUID().toString());
message.setSendAt(new Date());
log.info("message = {}", JSON.toJSONString(message));
kafkaTemplate.send("test", JSON.toJSONString(message));
}
}4.创建消息接收者
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