Amazon SQS 消息队列服务
Amazon sqs是亚马逊提供的线上消息队列服务, 可以实现应用程序解耦,以及可靠性保证。 sqs提供了两种消息队列, 一种是标准消息队列, 一种是先进先出队列(FIFO), 其区别是FIFO是严格有序的,即消息接收的顺序是按照消息发送的顺序来的, 而标准队列是尽最大可能有序, 即不保证一定为有序, 此外FIFO还保证了消息在一定时间内不能重复发出,即使是重复发了, 它也不会把消息发送到队列上。
队列操作
创建队列
AmazonSQS sqs = AmazonSQSClientBuilder.defaultClient();
CreateQueueRequest create_request = new CreateQueueRequest(QUEUE_NAME)
.addAttributesEntry("DelaySeconds", "60")
.addAttributesEntry("MessageRetentionPeriod", "86400");
try {
sqs.createQueue(create_request);
} catch (AmazonSQSException e) {
if (!e.getErrorCode().equals("QueueAlreadyExists")) {
throw e;
}
}
列出队列
AmazonSQS sqs = AmazonSQSClientBuilder.defaultClient();
ListQueuesResult lq_result = sqs.listQueues();
System.out.println("Your SQS Queue URLs:");
for (String url : lq_result.getQueueUrls()) {
System.out.println(url);
}
获取队列Url
AmazonSQS sqs = AmazonSQSClientBuilder.defaultClient();
String queue_url = sqs.getQueueUrl(QUEUE_NAME).getQueueUrl();
删除队列
AmazonSQS sqs = AmazonSQSClientBuilder.defaultClient();
sqs.deleteQueue(queue_url);
消息操作
发送消息
SendMessageRequest send_msg_request = new SendMessageRequest()
.withQueueUrl(queueUrl)
.withMessageBody("hello world")
.withDelaySeconds(5);
sqs.sendMessage(send_msg_request);
批量发送消息
SendMessageBatchRequest send_batch_request = new SendMessageBatchRequest()
.withQueueUrl(queueUrl)
.withEntries(
new SendMessageBatchRequestEntry(
"msg_1", "Hello from message 1"),
new SendMessageBatchRequestEntry(
"msg_2", "Hello from message 2")
.withDelaySeconds(10));
sqs.sendMessageBatch(send_batch_request);
获取消息
List<Message> messages = sqs.receiveMessage(queueUrl).getMessages();
删除消息
for (Message m : messages) {
sqs.deleteMessage(queueUrl, m.getReceiptHandle());
}
使用JMS方法
发送消息
public class TextMessageSender {
public static void main(String args[]) throws JMSException {
ExampleConfiguration config = ExampleConfiguration.parseConfig("TextMessageSender", args);
ExampleCommon.setupLogging();
// Create the connection factory based on the config
SQSConnectionFactory connectionFactory = new SQSConnectionFactory(
new ProviderConfiguration(),
AmazonSQSClientBuilder.standard()
.withRegion(config.getRegion().getName())
.withCredentials(config.getCredentialsProvider())
);
// Create the connection
SQSConnection connection = connectionFactory.createConnection();
// Create the queue if needed
ExampleCommon.ensureQueueExists(connection, config.getQueueName());
// Create the session
Session session = connection.createSession(false, Session.AUTO_ACKNOWLEDGE);
MessageProducer producer = session.createProducer( session.createQueue( config.getQueueName() ) );
sendMessages(session, producer);
// Close the connection. This closes the session automatically
connection.close();
System.out.println( "Connection closed" );
}
private static void sendMessages( Session session, MessageProducer producer ) {
BufferedReader inputReader = new BufferedReader(
new InputStreamReader( System.in, Charset.defaultCharset() ) );
try {
String input;
while( true ) {
System.out.print( "Enter message to send (leave empty to exit): " );
input = inputReader.readLine();
if( input == null || input.equals("" ) ) break;
TextMessage message = session.createTextMessage(input);
producer.send(message);
System.out.println( "Send message " + message.getJMSMessageID() );
}
} catch (EOFException e) {
// Just return on EOF
} catch (IOException e) {
System.err.println( "Failed reading input: " + e.getMessage() );
} catch (JMSException e) {
System.err.println( "Failed sending message: " + e.getMessage() );
e.printStackTrace();
}
}
}
同步接收消息
public class SyncMessageReceiver {
public static void main(String args[]) throws JMSException {
ExampleConfiguration config = ExampleConfiguration.parseConfig("SyncMessageReceiver", args);
ExampleCommon.setupLogging();
// Create the connection factory based on the config
SQSConnectionFactory connectionFactory = new SQSConnectionFactory(
new ProviderConfiguration(),
AmazonSQSClientBuilder.standard()
.withRegion(config.getRegion().getName())
.withCredentials(config.getCredentialsProvider())
);
// Create the connection
SQSConnection connection = connectionFactory.createConnection();
// Create the queue if needed
ExampleCommon.ensureQueueExists(connection, config.getQueueName());
// Create the session
Session session = connection.createSession(false, Session.CLIENT_ACKNOWLEDGE);
MessageConsumer consumer = session.createConsumer( session.createQueue( config.getQueueName() ) );
connection.start();
receiveMessages(session, consumer);
// Close the connection. This closes the session automatically
connection.close();
System.out.println( "Connection closed" );
}
private static void receiveMessages( Session session, MessageConsumer consumer ) {
try {
while( true ) {
System.out.println( "Waiting for messages");
// Wait 1 minute for a message
Message message = consumer.receive(TimeUnit.MINUTES.toMillis(1));
if( message == null ) {
System.out.println( "Shutting down after 1 minute of silence" );
break;
}
ExampleCommon.handleMessage(message);
message.acknowledge();
System.out.println( "Acknowledged message " + message.getJMSMessageID() );
}
} catch (JMSException e) {
System.err.println( "Error receiving from SQS: " + e.getMessage() );
e.printStackTrace();
}
}
}
异步接收消息
public class AsyncMessageReceiver {
public static void main(String args[]) throws JMSException, InterruptedException {
ExampleConfiguration config = ExampleConfiguration.parseConfig("AsyncMessageReceiver", args);
ExampleCommon.setupLogging();
// Create the connection factory based on the config
SQSConnectionFactory connectionFactory = new SQSConnectionFactory(
new ProviderConfiguration(),
AmazonSQSClientBuilder.standard()
.withRegion(config.getRegion().getName())
.withCredentials(config.getCredentialsProvider())
);
// Create the connection
SQSConnection connection = connectionFactory.createConnection();
// Create the queue if needed
ExampleCommon.ensureQueueExists(connection, config.getQueueName());
// Create the session
Session session = connection.createSession(false, Session.CLIENT_ACKNOWLEDGE);
MessageConsumer consumer = session.createConsumer( session.createQueue( config.getQueueName() ) );
ReceiverCallback callback = new ReceiverCallback();
consumer.setMessageListener( callback );
// No messages are processed until this is called
connection.start();
callback.waitForOneMinuteOfSilence();
System.out.println( "Returning after one minute of silence" );
// Close the connection. This closes the session automatically
connection.close();
System.out.println( "Connection closed" );
}
private static class ReceiverCallback implements MessageListener {
// Used to listen for message silence
private volatile long timeOfLastMessage = System.nanoTime();
public void waitForOneMinuteOfSilence() throws InterruptedException {
for(;;) {
long timeSinceLastMessage = System.nanoTime() - timeOfLastMessage;
long remainingTillOneMinuteOfSilence =
TimeUnit.MINUTES.toNanos(1) - timeSinceLastMessage;
if( remainingTillOneMinuteOfSilence < 0 ) {
break;
}
TimeUnit.NANOSECONDS.sleep(remainingTillOneMinuteOfSilence);
}
}
@Override
public void onMessage(Message message) {
try {
ExampleCommon.handleMessage(message);
message.acknowledge();
System.out.println( "Acknowledged message " + message.getJMSMessageID() );
timeOfLastMessage = System.nanoTime();
} catch (JMSException e) {
System.err.println( "Error processing message: " + e.getMessage() );
e.printStackTrace();
}
}
}
}
https://docs.aws.amazon.com/sdk-for-java/v1/developer-guide/examples-sqs-messages.html
https://docs.amazonaws.cn/en_us/AWSSimpleQueueService/latest/SQSDeveloperGuide/code-examples.html
Amazon SQS 消息队列服务的更多相关文章
- NoSQL初探之人人都爱Redis:(3)使用Redis作为消息队列服务场景应用案例
一.消息队列场景简介 “消息”是在两台计算机间传送的数据单位.消息可以非常简单,例如只包含文本字符串:也可以更复杂,可能包含嵌入对象.消息被发送到队列中,“消息队列”是在消息的传输过程中保存消息的容器 ...
- Redis作为消息队列服务场景应用案例
NoSQL初探之人人都爱Redis:(3)使用Redis作为消息队列服务场景应用案例 一.消息队列场景简介 “消息”是在两台计算机间传送的数据单位.消息可以非常简单,例如只包含文本字符串:也可以更 ...
- 【转】NoSQL初探之人人都爱Redis:(3)使用Redis作为消息队列服务场景应用案例
一.消息队列场景简介 “消息”是在两台计算机间传送的数据单位.消息可以非常简单,例如只包含文本字符串:也可以更复杂,可能包含嵌入对象.消息被发送到队列中,“消息队列”是在消息的传输过程中保存消息的容器 ...
- 【阿里云产品公测】消息队列服务MQS java SDK 机器人应用初体验
[阿里云产品公测]消息队列服务MQS java SDK 机器人应用初体验 作者:阿里云用户啊里新人 初体验 之 测评环境 由于MQS支持外网访问,因此我在本地做了一些简单测试(可能有些业余),之后 ...
- 使用Redis作为消息队列服务场景应用案例
一.消息队列场景简介 "消息"是在两台计算机间传送的数据单位.消息可以非常简单,例如只包含文本字符串:也可以更复杂,可能包含嵌入对象.消息被发送到队列中,"消息队列&qu ...
- 腾讯云分布式高可靠消息队列服务CMQ架构
在分布式大行其道的今天,我们在系统内部.平台之间广泛运用消息中间件进行数据交换及解耦.CMQ是腾讯云内部自研基于的高可靠.强一致.可扩展分布式消息队列,在腾讯内部包括微信手机QQ业务红包.腾讯话费充值 ...
- Sping Boot入门到实战之实战篇(一):实现自定义Spring Boot Starter——阿里云消息队列服务Starter
在 Sping Boot入门到实战之入门篇(四):Spring Boot自动化配置 这篇中,我们知道Spring Boot自动化配置的实现,主要由如下几部分完成: @EnableAutoConfigu ...
- 滴滴出行基于RocketMQ构建企业级消息队列服务的实践
小结: 1. https://mp.weixin.qq.com/s/v6NM3UgX-qTI7yO1QPCJrw 滴滴出行基于RocketMQ构建企业级消息队列服务的实践 原创: 江海挺 阿里巴巴中间 ...
- 2.OpenStack-安装消息队列服务
安装消息队列服务(安装在控制器上) yum install rabbitmq-server -y systemctl start mariadb.service 配置消息队列服务 systemctl ...
随机推荐
- Deepin Create/Delete Folder refresh
Did u have a problem whth the deepin file manager,Everthime I create/delete a Folder of File i have ...
- manjaro (arch) 安装搜狗输入法
本文通过MetaWeblog自动发布,原文及更新链接:https://extendswind.top/posts/technical/sogou_input_install_in_arch_manja ...
- elasticsearch routing
当索引一个文档的时候,文档会被存储到一个主分片中. Elasticsearch 如何知道一个文档应该存放到哪个分片中呢?当我们创建文档时,它如何决定这个文档应当被存储在分片 1 还是分片 2 中呢?首 ...
- SpringContextHolder 作用
以静态变量保存Spring ApplicationContext, 可在任何代码任何地方任何时候取出ApplicaitonContext. 使用方式.在启动类里添加Bean package com.y ...
- 关于Delphi中二维数组的声明和大小调整
这是一个实例: procedure TMainForm.Button1Click(Sender: TObject);var arr:array of array of string;begin s ...
- shell获取今天、明天、昨天、n天、周、月、年日期
1.获取今天日期 $ date -d now +%Y-%m-%d 或者$ date +%F 1 2 2.获取明天日期 $ date -d next-day +%Y-%m-%d$ date - ...
- springboot配置Filter的两种方法
一.使用注解1. 假设Filter类的路径为com.sanro.filter @Slf4j @WebFilter(filterName = "authFilter", urlPat ...
- Intellij IDEA 2019 最新优化配置
Intellij IDEA 2019 最新优化配置 转发自Dimple’s Blog 摘要: 之前在CSDN上写了一点关于IDEA的优化配置之类的文章,有些图片失效了,很多人都希望会有继续更新 ...
- ISO/IEC 9899:2011 条款6.4——词法元素
6.4 词法元素 1.token(标记): keyword(关键字) identifier(标识符) constant(常量) string-literal(字符串字面量) punctuator(标点 ...
- Git 代码撤销、回滚到任意版本(当误提代码到本地或master分支时)
转自https://www.cnblogs.com/lwh-note/p/9639835.html 两种情况(场景) 情况一 代码还只在本地,未push到运程仓库,想把代码还原到上一次com ...