要实现并发运行每个FTP文件的Spring Integration流程,可以使用Spring Integration的并发处理器(concurrent)和executor-channel来实现。
下面是一个示例代码:
@Configuration
@EnableIntegration
public class FtpIntegrationConfig {
@Value("${ftp.host}")
private String ftpHost;
@Value("${ftp.port}")
private int ftpPort;
@Value("${ftp.username}")
private String ftpUsername;
@Value("${ftp.password}")
private String ftpPassword;
@Value("${ftp.remote.directory}")
private String ftpRemoteDirectory;
@Autowired
private FtpTaskExecutor ftpTaskExecutor;
@Bean
public SessionFactory ftpSessionFactory() {
DefaultFtpSessionFactory ftpSessionFactory = new DefaultFtpSessionFactory();
ftpSessionFactory.setHost(ftpHost);
ftpSessionFactory.setPort(ftpPort);
ftpSessionFactory.setUsername(ftpUsername);
ftpSessionFactory.setPassword(ftpPassword);
return new CachingSessionFactory<>(ftpSessionFactory);
}
@Bean
public ConcurrentTaskExecutor concurrentTaskExecutor() {
ThreadPoolTaskExecutor threadPoolTaskExecutor = new ThreadPoolTaskExecutor();
threadPoolTaskExecutor.setCorePoolSize(5);
threadPoolTaskExecutor.setMaxPoolSize(10);
threadPoolTaskExecutor.setThreadNamePrefix("ftpTaskExecutor");
return new ConcurrentTaskExecutor(threadPoolTaskExecutor);
}
@Bean
public PollableChannel ftpInputChannel() {
return new QueueChannel();
}
@Bean
public MessageProducer ftpMessageProducer() {
FtpInboundFileSynchronizingMessageSource source =
new FtpInboundFileSynchronizingMessageSource(ftpInboundFileSynchronizer());
source.setLocalDirectory(new File(System.getProperty("java.io.tmpdir")));
source.setAutoCreateLocalDirectory(true);
source.setLocalFilter(new AcceptOnceFileListFilter<>());
source.setMaxFetchSize(1);
return new SourcePollingChannelAdapter(source);
}
@Bean
public FtpInboundFileSynchronizer ftpInboundFileSynchronizer() {
FtpInboundFileSynchronizer fileSynchronizer = new FtpInboundFileSynchronizer(ftpSessionFactory());
fileSynchronizer.setRemoteDirectory(ftpRemoteDirectory);
fileSynchronizer.setDeleteRemoteFiles(true);
fileSynchronizer.setFilter(new FtpSimplePatternFileListFilter("*.txt"));
return fileSynchronizer;
}
@Bean
public MessageHandler ftpMessageHandler() {
return new MessageHandler() {
@Override
public void handleMessage(Message> message) throws MessagingException {
// 处理FTP文件的逻辑
System.out.println("Handle FTP file: " + message.getPayload());
}
};
}
@Bean
public IntegrationFlow ftpIntegrationFlow() {
return IntegrationFlows.from(ftpMessageProducer(),
c -> c.poller(Pollers.fixedDelay(500)))
.channel(ftpInputChannel())
.handle(ftpMessageHandler(), e -> e.advice(expressionAdvice()))
.get();
}
@Bean
public ExpressionEvaluatingRequestHandlerAdvice expressionAdvice() {
ExpressionEvaluatingRequestHandlerAdvice advice = new ExpressionEvaluatingRequestHandlerAdvice();
advice.setOnSuccessExpressionString("payload.delete()");
advice.setSuccessChannelName("successChannel");
advice.setTrapException(true);
return advice;
}
@Bean
public MessageChannel successChannel() {
return new QueueChannel();
}
@Bean
public IntegrationFlow successFlow() {
return IntegrationFlows.from(successChannel())
.handle(ftpSuccessHandler())
.get();
}
@Bean
public MessageHandler ftpSuccessHandler() {
return new MessageHandler() {
@Override
public void handleMessage(Message> message) throws MessagingException {
System.out.println("FTP file processed successfully: " + message.getPayload());
}
};
}
@Bean
public IntegrationFlow mainFlow() {
return IntegrationFlows.from(ftpInputChannel())
.channel(MessageChannels.executor(ftpTaskExecutor))
.handle(ftpMessageHandler())
.get();
}
}
在以上代码中,我们首先配置了FTP的连接信息和会话工厂(ftpSessionFactory),并且使用了并发处理器(concurrentTaskExecutor)来实现并发处理每个FTP文件。
然后我们定义了一个FTPMessageProducer来监听FTP服务器上的文件变化,并使用FtpInboundFileSynchronizer来同步FTP文件到本地目录。接下来,我们定义了一个FTPMessageHandler来处理FTP文件,你可以在
上一篇:并发运行Karate UI测试
下一篇:并发长轮询函数