解决ActiveMQ Artemis和Spring JmsTemplate的性能问题的方法可以包括以下几个方面:
// 使用Apache Commons Pool连接池
private PoolingConnectionFactory createConnectionFactory() {
ActiveMQConnectionFactory connectionFactory = new ActiveMQConnectionFactory();
connectionFactory.setBrokerURL("tcp://localhost:61616");
PoolingConnectionFactory poolingConnectionFactory = new PoolingConnectionFactory();
poolingConnectionFactory.setConnectionFactory(connectionFactory);
poolingConnectionFactory.setMaxConnections(10);
return poolingConnectionFactory;
}
// 使用Spring Boot内置的连接池
@Bean
public JmsListenerContainerFactory> jmsListenerContainerFactory(ConnectionFactory connectionFactory) {
DefaultJmsListenerContainerFactory factory = new DefaultJmsListenerContainerFactory();
factory.setConnectionFactory(connectionFactory);
return factory;
}
@Autowired
private JmsMessagingTemplate jmsMessagingTemplate;
@Async
public void sendMessageAsync(String destination, Object message) {
jmsMessagingTemplate.convertAndSend(destination, message);
}
deliveryDelay
和timeToLive
属性来控制批量发送的时机。@Autowired
private JmsTemplate jmsTemplate;
public void sendBatchMessages(String destination, List
@Configuration
@EnableJms
public class JmsConfig {
@Value("${spring.artemis.broker-url}")
private String brokerUrl;
@Bean
public ConnectionFactory connectionFactory() {
ActiveMQConnectionFactory connectionFactory = new ActiveMQConnectionFactory();
connectionFactory.setBrokerURL(brokerUrl);
connectionFactory.setUseCompression(true); // 启用消息压缩
return connectionFactory;
}
// ...
}
通过以上的优化措施,可以提高ActiveMQ Artemis和Spring JmsTemplate的性能,降低延迟,提高吞吐量。