Mina主要是作为服务器端底层框架来实现数据处理,它的实现很简单,如下例所示:
- package com.gftech.mytool.mina;
- import java.io.IOException;
- import java.net.InetSocketAddress;
- import java.nio.charset.Charset;
- import java.util.Date;
- import org.slf4j.Logger;
- import org.slf4j.LoggerFactory;
- import org.apache.mina.core.service.IoAcceptor;
- import org.apache.mina.core.service.IoHandlerAdapter;
- import org.apache.mina.core.session.IdleStatus;
- import org.apache.mina.core.session.IoSession;
- import org.apache.mina.filter.codec.ProtocolCodecFilter;
- import org.apache.mina.filter.codec.textline.TextLineCodecFactory;
- import org.apache.mina.transport.socket.nio.NioSocketAcceptor;
- public class MinaTimeServer {
- private static final int PORT = 2500 ;
- //调用工厂方法,得到一个日志记录器,我用的是自己最熟悉的Log4j
- //slf4j本身是一个Facade,或者说象集群服务中的分发器,它本身没有Logger的记录功能
- //它会自动根据Classpath中的具体Logger类库来实现具体调用,在LoggerFactory实例化Logger
- static Logger logger = LoggerFactory.getLogger(MinaTimeServer. class );
- public static void main(String[] args) throws IOException {
- //在服务器端创建一个接收器
- IoAcceptor acceptor = new NioSocketAcceptor();
- //创建一个日志过滤器进行日志处理,并添加到过滤器链的第一个位置
- //过滤器的位置很重要,在这里因为放到了第一个位置,它会记录原始字节码数据
- LoggingFilter lf = new LoggingFilter( "testLog" );
- acceptor.getFilterChain().addLast("logger" , lf);
- //增加一个按行进行处理文本的编解码过滤器,并且指定按GBK的方法进行编解码
- acceptor.getFilterChain().addLast("codec" , new ProtocolCodecFilter( new TextLineCodecFactory(Charset.forName( "GBK" ))));
- //进行配置信息的设置
- acceptor.getSessionConfig().setReadBufferSize(10 );
- acceptor.getSessionConfig().setIdleTime(IdleStatus.BOTH_IDLE, 10 );
- //添加一个数据处理器,对接收或发送的数据进行处理
- acceptor.setHandler(new TimeServerHandler());
- //把IoAccepter绑定到指定的2500端口
- acceptor.bind(new InetSocketAddress(PORT));
- System.out.println("start server ..." );
- }
- }
- class TimeServerHandler extends IoHandlerAdapter {
- static Logger logger = LoggerFactory.getLogger(TimeServerHandler. class );
- //static Logger logger = Logger.getLogger(TimeServerHandler.class);
- //异常处理
- public void exceptionCaught(IoSession session, Throwable cause) throws Exception {
- cause.printStackTrace();
- }
- //对接收到的数据进行业务处理,在这里我们不管收到什么信息都返回一个当前的日期
- public void messageReceived(IoSession session, Object message) throws Exception {
- String str = message.toString();
- if (str.trim().equalsIgnoreCase( "quit" )) {
- session.close(true );
- return ;
- }
- logger.debug("Rec:" + str);
- Date date = new Date();
- session.write(date.toString());
- logger.debug("Message written..." );
- }
- //当连接空闲时的处理
- public void sessionIdle(IoSession session, IdleStatus status) throws Exception {
- logger.debug("IDLE " + session.getIdleCount(status));
- }
- }
在上面的代码中,我用了mina默认的SLF4J日志处理器。因为slf4j本身没有真正的日志处理功能,它最终调用的是log4j,所以我们可以 编写一下log4j的配置文件来指定具体的输出方式。需要注意的一点是配置文件必须放在src文件夹下面,否则slf4j无法找到,示例如下:
- log4j.rootLogger =DEBUG, A1,A2
- #输出到控制台
- log4j.appender.A1 = org.apache.log4j.ConsoleAppender
- log4j.appender.A1.layout = org.apache.log4j.PatternLayout
- log4j.appender.A1.layout.ConversionPattern =[%d] [%t] %-5p - %m %n
- #输出到固定大小的日志文件
- log4j.appender.A2 = org.apache.log4j.RollingFileAppender
- log4j.appender.A2.File = logs//test1.log
- log4j.appender.A2.MaxFileSize = 1MB
- log4j.appender.A2.MaxBackupIndex = 3
- log4j.appender.A2.layout = org.apache.log4j.PatternLayout
- log4j.appender.A2.layout.ConversionPattern =[%d] %-4r [%t] %-5p %c %x - %m %n
- #定义A3输出到数据库
- log4j.appender.A3 = org.apache.log4j.jdbc.JDBCAppender
- log4j.appender.A3.BufferSize = 40
- log4j.appender.A3.Driver = sun.jdbc.odbc.JdbcOdbcDriver
- log4j.appender.A3.URL = jdbc:ODBC:driver={Microsoft Access Driver (*.mdb)};DBQ=MobileDB.mdb
- log4j.appender.A3.User =
- log4j.appender.A3.Password =
- log4j.appender.A3.layout = org.apache.log4j.PatternLayout
- log4j.appender.A3.layout.ConversionPattern = INSERT INTO log4j(createDate, thread, priority, category, message) values('%d' , '%t' , '%-5p' , '%c' , '%m' )
- #输出到HTML文件当中,并按日期自动分割
- log4j.appender.A4 = org.apache.log4j.DailyRollingFileAppender
- log4j.appender.A4.File = logs//log.html
- log4j.appender.A4.DatePattern='.' yyyy-MM-dd-HH '.html'
- log4j.appender.A4.layout = org.apache.log4j.HTMLLayout
- #A5 send log info to remote mysql database
- log4j.appender.A5 = com.gftech.log4j.JDBCExtAppender
- log4j.appender.A5.Driver = com.mysql.jdbc.Driver
- log4j.appender.A5.URL = jdbc:mysql://192.168.10.1:3306/log
- log4j.appender.A5.User = root
- log4j.appender.A5.Password = plus
- log4j.appender.A5.layout = org.apache.log4j.PatternLayout
- log4j.appender.A5.sql = INSERT INTO app_log(machine,occur_date,thread_name,cat,level,info) values('DP' , '%d{yyyy-MM-dd HH:mm:ss}' , '%t' , '%c' , '%p' , '%m' )
- #A6 send log info(ERROR or Fatal) by Email
- log4j.appender.A6 = com.gftech.log4j.SMTPExtAppender
- log4j.appender.A6.Threshold=FATAL
- log4j.appender.A6.SMTPHost=smtp.126 .com
- log4j.appender.A6.to=sinboy@126 .com
- log4j.appender.A6.from=sinboy@126 .com
- log4j.appender.A6.SMTPAuth=true
- log4j.appender.A6.SMTPUsername=sinboy
- log4j.appender.A6.SMTPPassword=791226
- log4j.appender.A6.Subject=Log4J Message
- log4j.appender.A6.layout=org.apache.log4j.PatternLayout
- log4j.appender.A6.layout.ConversionPattern= [%d{HH:mm:ss}] [%t] %c - %-5p - %m%n
在命令行终端输入:telnet 127.0.0.1 2500可以进行测试,当然也可以自己模拟多个客户端进行并发访问测试mina的真实性能。我在P4/512M的机器上测出的结果是每秒可以处理1700~2000个数据,,根据并发客户端的多少会有不同。