配置文件的方式實現spring整和kafka:
此文主要講述的內容:
1,連接kafka服務器的配置
2,kafka-customer:消費者配置
3,kafka-provider:提供者配置
4,KfkaUtils:根據topic發送消息
5,消費者根據topic處理消息
一，安裝kafka
網上百度一下,一大堆,在這里我就不贅述了（新版本的kafka集成了zookeeper插件，所以只需配置kafka安裝包下的zookeeper.properties即可,）,下載地址：http://kafka.apache.org/downloads
注意在啟動kafka-service之前需啟動zookeeper插件
二，配置maven倉庫
由於是基於spring集成的kafka的方式 ，所以在添加spring依賴的同時，還需
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka</artifactId>
<version>2.1.4.RELEASE</version>
</dependency>
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-clients</artifactId>
<version>1.0.0</version>
</dependency>
三，kafka服務器配置
#brokers集群
bootstrap.servers=192.168.11.38:9092,192.168.11.40:9092
#即所有副本都同步到數據時send方法才返回, 以此來完全判斷數據是否發送成功, 理論上來講數據不會丟失.
acks=all
#發送失敗重試次數
retries=10
#批處理條數：當多個記錄被發送到同一個分區時，生產者會嘗試將記錄合並到更少的請求中。這有助於客戶端和服務器的性能。
batch.size=1638
#批處理延遲時間上限：即1ms過后，不管是否達到批處理數，都直接發送一次請求
linger.ms=1
#即32MB的批處理緩沖區
buffer.memory=33554432
#消費者群組ID，發布-訂閱模式，即如果一個生產者，多個消費者都要消費，那么需要定義自己的群組，同一群組內的消費者只有一個能消費到消息
group.id=order-beta
#如果為true，消費者的偏移量將在后台定期提交。
enable.auto.commit=true
#如何設置為自動提交（enable.auto.commit=true），這里設置自動提交周期
auto.commit.interval.ms=1000
#在使用Kafka的組管理時，用於檢測消費者故障的超時
session.timeout.ms=15000
#消費監聽器容器並發數
concurrency = 3
四，customer配置
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:context="http://www.springframework.org/schema/context"
xsi:schemaLocation="http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans-3.0.xsd
http://www.springframework.org/schema/context
http://www.springframework.org/schema/context/spring-context.xsd">
<context:property-placeholder location="classpath*:kafka.properties " />
<!-- 1.定義consumer的參數 -->
<bean id="consumerProperties" class="java.util.HashMap">
<constructor-arg>
<map>
<entry key="bootstrap.servers" value="${bootstrap.servers}" />
<entry key="group.id" value="${group.id}" />
<entry key="enable.auto.commit" value="${enable.auto.commit}" />
<entry key="session.timeout.ms" value="${session.timeout.ms}" />
<entry key="key.deserializer"
value="org.apache.kafka.common.serialization.StringDeserializer" />
<entry key="value.deserializer"
value="org.apache.kafka.common.serialization.StringDeserializer" />
</map>
</constructor-arg>
</bean>
<!-- 2.創建consumerFactory bean -->
<bean id="consumerFactory"
class="org.springframework.kafka.core.DefaultKafkaConsumerFactory" >
<constructor-arg>
<ref bean="consumerProperties" />
</constructor-arg>
</bean>
<!-- 3.定義消費實現類 -->
<bean id="kafkaConsumerService" class="KafkaSendMessageServiceImpl" />
<!-- 4.消費者容器配置信息 -->
<bean id="containerProperties" class="org.springframework.kafka.listener.config.ContainerProperties">
<!-- topic -->
<constructor-arg name="topics">
<list>
<value>topic1</value>
<value>topic2</value>
<!-- <value>${templar.agreement.feedback.topic}</value>
<value>${templar.aggrement.active.feedback.topic}</value>
<value>${templar.aggrement.agreementRepaid.topic}</value>
<value>${templar.aggrement.agreementWithhold.topic}</value>
<value>${templar.aggrement.agreementRepayRemind.topic}</value>-->
</list>
</constructor-arg>
<property name="messageListener" ref="kafkaConsumerService" />
</bean>
<!-- 5.消費者並發消息監聽容器，執行doStart()方法 -->
<bean id="messageListenerContainer" class="org.springframework.kafka.listener.ConcurrentMessageListenerContainer" init-method="doStart" >
<constructor-arg ref="consumerFactory" />
<constructor-arg ref="containerProperties" />
<property name="concurrency" value="${concurrency}" />
</bean>
</beans>
五，provider配置
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:context="http://www.springframework.org/schema/context"
xsi:schemaLocation="http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans-3.0.xsd
http://www.springframework.org/schema/context
http://www.springframework.org/schema/context/spring-context.xsd">
<context:property-placeholder location="classpath*:kafka.properties " />
<!-- 定義producer的參數 -->
<bean id="producerProperties" class="java.util.HashMap">
<constructor-arg>
<map>
<entry key="bootstrap.servers" value="${bootstrap.servers}" />
<entry key="group.id" value="${group.id}" />
<entry key="retries" value="${retries}" />
<entry key="batch.size" value="${batch.size}" />
<entry key="linger.ms" value="${linger.ms}" />
<entry key="buffer.memory" value="${buffer.memory}" />
<entry key="acks" value="${acks}" />
<entry key="key.serializer"
value="org.apache.kafka.common.serialization.StringSerializer" />
<entry key="value.serializer"
value="org.apache.kafka.common.serialization.StringSerializer" />
</map>
</constructor-arg>
</bean>
<!-- 創建kafkatemplate需要使用的producerfactory bean -->
<bean id="producerFactory"
class="org.springframework.kafka.core.DefaultKafkaProducerFactory">
<constructor-arg>
<ref bean="producerProperties" />
</constructor-arg>
</bean>
<!-- 創建kafkatemplate bean，使用的時候，只需要注入這個bean，即可使用template的send消息方法 -->
<bean id="kafkaTemplate" class="org.springframework.kafka.core.KafkaTemplate">
<constructor-arg ref="producerFactory" />
<constructor-arg name="autoFlush" value="true" />
<property name="defaultTopic" value="default" />
</bean>
</beans>
六，簡單的KafkaUtils，發送kafka主題消息
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.support.ClassPathXmlApplicationContext;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.support.SendResult;
import org.springframework.util.concurrent.FailureCallback;
import org.springframework.util.concurrent.ListenableFuture;
import org.springframework.util.concurrent.SuccessCallback;
public class KafkaSendMsgUtils {
public static final ClassPathXmlApplicationContext CONTEXT = new ClassPathXmlApplicationContext("/kafka-provider.xml");
public static <K,T>void sendMessage(String topic, Integer partition, Long timestamp, K key, T data) {
KafkaTemplate<K, T> kafkaTemplate = (KafkaTemplate<K, T>) CONTEXT.getBean("kafkaTemplate");
ListenableFuture<SendResult<K, T>> listenableFuture = null;
if (kafkaTemplate.getDefaultTopic().equals(topic)) {
listenableFuture = kafkaTemplate.sendDefault(partition,timestamp,key,data);
}else {
listenableFuture = kafkaTemplate.send(topic, partition, timestamp, key, data);
}
//發送成功回調
SuccessCallback<SendResult<K, T>> successCallback = new SuccessCallback<SendResult<K, T>>() {
@Override
public void onSuccess(SendResult<K, T> result) {
//成功業務邏輯
System.out.println("成功");
}
};
//發送失敗回調
FailureCallback failureCallback = new FailureCallback() {
@Override
public void onFailure(Throwable ex) {
//失敗業務邏輯
throw new RuntimeException(ex);
}
};
listenableFuture.addCallback(successCallback, failureCallback);
}
public static void main(String[] args) {
for (int i = 0; i < 5; i++) {
try {
Thread.sleep(10000);
} catch (InterruptedException e) {
e.printStackTrace();
}
//KafkaTemplate<String, String> kafkaTemplate = (KafkaTemplate<String, String>) CONTEXT.getBean("kafkaTemplate");
KafkaSendMsgUtils.sendMessage("topic1",0,null,"key","kafka-test");
}
}
}
七,消費者接受消息
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.springframework.kafka.listener.MessageListener;
public class KafkaSendMessageServiceImpl implements MessageListener<String,String> {
@Override
public void onMessage(ConsumerRecord<String, String> data) {
//根據不同主題，消費
System.out.println("========");
if("topic1".equals(data.topic())){
//邏輯1
System.out.println(data.value()+"被消費");
}else if("topic2".equals(data.topic())){
//邏輯2
System.out.println(data.value()+"主題2 被消費");
}
}
}