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前景回顾
【mq】从零开始实现 mq-01- 生产者、消费者启动
【mq】从零开始实现 mq-02- 如何实现生产者调用消费者?
【mq】从零开始实现 mq-03- 引入 broker 中间人
【mq】从零开始实现 mq-04- 启动检测与实现优化
【mq】从零开始实现 mq-05- 实现优雅停机
【mq】从零开始实现 mq-06- 消费者心跳检测 heartbeat
【mq】从零开始实现 mq-07- 负载平衡 load balance
【mq】从零开始实现 mq-08- 配置优化 fluent
fluent
大家好,我是老马。
fluent 的配置形式,是我集体十分喜爱的一种配置形式。
传统的 java 应用 get/set 办法进行属性设置。
相似这种:
MqBroker mqBroker = new MqBroker();
mqBroker.setPort(9999);
mqBroker.setAddress("127.0.0.1");
fluent 写法能够让咱们写起来代码更加晦涩:
MqBroker.newInstance()
.port(9999)
.address("127.0.0.1")
写起来更加丝滑晦涩。
Broker 配置
属性
/**
* 端口号
*/
private int port = BrokerConst.DEFAULT_PORT;
/**
* 调用治理类
*
* @since 1.0.0
*/
private final IInvokeService invokeService = new InvokeService();
/**
* 消费者治理
*
* @since 0.0.3
*/
private IBrokerConsumerService registerConsumerService = new LocalBrokerConsumerService();
/**
* 生产者治理
*
* @since 0.0.3
*/
private IBrokerProducerService registerProducerService = new LocalBrokerProducerService();
/**
* 长久化类
*
* @since 0.0.3
*/
private IMqBrokerPersist mqBrokerPersist = new LocalMqBrokerPersist();
/**
* 推送服务
*
* @since 0.0.3
*/
private IBrokerPushService brokerPushService = new BrokerPushService();
/**
* 获取响应超时工夫
* @since 0.0.3
*/
private long respTimeoutMills = 5000;
/**
* 负载平衡
* @since 0.0.7
*/
private ILoadBalance<ConsumerSubscribeBo> loadBalance = LoadBalances.weightRoundRobbin();
/**
* 推送最大尝试次数
* @since 0.0.8
*/
private int pushMaxAttempt = 3;
flent 配置
public MqBroker port(int port) {
this.port = port;
return this;
}
public MqBroker registerConsumerService(IBrokerConsumerService registerConsumerService) {
this.registerConsumerService = registerConsumerService;
return this;
}
public MqBroker registerProducerService(IBrokerProducerService registerProducerService) {
this.registerProducerService = registerProducerService;
return this;
}
public MqBroker mqBrokerPersist(IMqBrokerPersist mqBrokerPersist) {
this.mqBrokerPersist = mqBrokerPersist;
return this;
}
public MqBroker brokerPushService(IBrokerPushService brokerPushService) {
this.brokerPushService = brokerPushService;
return this;
}
public MqBroker respTimeoutMills(long respTimeoutMills) {
this.respTimeoutMills = respTimeoutMills;
return this;
}
public MqBroker loadBalance(ILoadBalance<ConsumerSubscribeBo> loadBalance) {
this.loadBalance = loadBalance;
return this;
}
Producer 配置
属性
/**
* 分组名称
*/
private String groupName = ProducerConst.DEFAULT_GROUP_NAME;
/**
* 中间人地址
*/
private String brokerAddress = "127.0.0.1:9999";
/**
* 获取响应超时工夫
* @since 0.0.2
*/
private long respTimeoutMills = 5000;
/**
* 检测 broker 可用性
* @since 0.0.4
*/
private volatile boolean check = true;
/**
* 调用治理服务
* @since 0.0.2
*/
private final IInvokeService invokeService = new InvokeService();
/**
* 状态治理类
* @since 0.0.5
*/
private final IStatusManager statusManager = new StatusManager();
/**
* 生产者 - 两头服务端服务类
* @since 0.0.5
*/
private final IProducerBrokerService producerBrokerService = new ProducerBrokerService();
/**
* 为残余的申请等待时间
* @since 0.0.5
*/
private long waitMillsForRemainRequest = 60 * 1000;
/**
* 负载平衡策略
* @since 0.0.7
*/
private ILoadBalance<RpcChannelFuture> loadBalance = LoadBalances.weightRoundRobbin();
/**
* 音讯发送最大尝试次数
* @since 0.0.8
*/
private int maxAttempt = 3;
fluent 配置
public MqProducer groupName(String groupName) {
this.groupName = groupName;
return this;
}
public MqProducer brokerAddress(String brokerAddress) {
this.brokerAddress = brokerAddress;
return this;
}
public MqProducer respTimeoutMills(long respTimeoutMills) {
this.respTimeoutMills = respTimeoutMills;
return this;
}
public MqProducer check(boolean check) {
this.check = check;
return this;
}
public MqProducer waitMillsForRemainRequest(long waitMillsForRemainRequest) {
this.waitMillsForRemainRequest = waitMillsForRemainRequest;
return this;
}
public MqProducer loadBalance(ILoadBalance<RpcChannelFuture> loadBalance) {
this.loadBalance = loadBalance;
return this;
}
public MqProducer maxAttempt(int maxAttempt) {
this.maxAttempt = maxAttempt;
return this;
}
Consuemr 配置
属性
/**
* 组名称
*/
private String groupName = ConsumerConst.DEFAULT_GROUP_NAME;
/**
* 中间人地址
*/
private String brokerAddress = "127.0.0.1:9999";
/**
* 获取响应超时工夫
* @since 0.0.2
*/
private long respTimeoutMills = 5000;
/**
* 检测 broker 可用性
* @since 0.0.4
*/
private volatile boolean check = true;
/**
* 为残余的申请等待时间
* @since 0.0.5
*/
private long waitMillsForRemainRequest = 60 * 1000;
/**
* 调用治理类
*
* @since 1.0.0
*/
private final IInvokeService invokeService = new InvokeService();
/**
* 音讯监听服务类
* @since 0.0.5
*/
private final IMqListenerService mqListenerService = new MqListenerService();
/**
* 状态治理类
* @since 0.0.5
*/
private final IStatusManager statusManager = new StatusManager();
/**
* 生产者 - 两头服务端服务类
* @since 0.0.5
*/
private final IConsumerBrokerService consumerBrokerService = new ConsumerBrokerService();
/**
* 负载平衡策略
* @since 0.0.7
*/
private ILoadBalance<RpcChannelFuture> loadBalance = LoadBalances.weightRoundRobbin();
/**
* 订阅最大尝试次数
* @since 0.0.8
*/
private int subscribeMaxAttempt = 3;
/**
* 勾销订阅最大尝试次数
* @since 0.0.8
*/
private int unSubscribeMaxAttempt = 3;
fluent 配置
public MqConsumerPush subscribeMaxAttempt(int subscribeMaxAttempt) {
this.subscribeMaxAttempt = subscribeMaxAttempt;
return this;
}
public MqConsumerPush unSubscribeMaxAttempt(int unSubscribeMaxAttempt) {
this.unSubscribeMaxAttempt = unSubscribeMaxAttempt;
return this;
}
public MqConsumerPush groupName(String groupName) {
this.groupName = groupName;
return this;
}
public MqConsumerPush brokerAddress(String brokerAddress) {
this.brokerAddress = brokerAddress;
return this;
}
public MqConsumerPush respTimeoutMills(long respTimeoutMills) {
this.respTimeoutMills = respTimeoutMills;
return this;
}
public MqConsumerPush check(boolean check) {
this.check = check;
return this;
}
public MqConsumerPush waitMillsForRemainRequest(long waitMillsForRemainRequest) {
this.waitMillsForRemainRequest = waitMillsForRemainRequest;
return this;
}
public MqConsumerPush loadBalance(ILoadBalance<RpcChannelFuture> loadBalance) {
this.loadBalance = loadBalance;
return this;
}
小结
这一节的实现非常简单,能够说是没有啥技术难度。
只是为了让使用者更加不便。
心愿本文对你有所帮忙,如果喜爱,欢送点赞珍藏转发一波。
我是老马,期待与你的下次重逢。
开源地址
The message queue in java.(java 繁难版本 mq 实现) https://github.com/houbb/mq
拓展浏览
rpc- 从零开始实现 rpc https://github.com/houbb/rpc
正文完