实现了一个简单的从实时日志文件监听，写入socket服务器，再接入Storm计算的一个流程。
package socket;import java.io.BufferedReader;import java.io.File;
import java.io.IOException;
import java.io.InputStreamReader;import java.io.PrintWriter;import java.io.RandomAccessFile;
import java.net.Socket;import java.util.concurrent.Executors;
import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.TimeUnit;
/*
* 监测数据，通过socket远程发送到另外服务器 ，见MyServerMulti
* ClientRead再通过服务器从socket里读
*
*/
public class LogViewToSocket {
private long lastTimeFileSize = 0; //上次文件大小
/**
* 实时输出日志信息
* @param logFile 日志文件
* @throws IOException
*/
public String getNewFile(File file) { File[] fs=file.listFiles(); long maxtime=0; String newfilename=""; for (int i=0;i<fs.length;i++) { if (fs[i].lastModified()>maxtime) { maxtime=fs[i].lastModified(); newfilename=fs[i].getAbsolutePath(); } } return newfilename; } RandomAccessFile randomFile=null; String newfile=null; String thisfile=null; public void realtimeShowLog(final File logFile,final PrintWriter out) throws IOException{
newfile=getNewFile(logFile); //指定文件可读可写
randomFile = new RandomAccessFile(new File(newfile),"r");
//启动一个线程每1秒钟读取新增的日志信息
ScheduledExecutorService exec =
Executors.newScheduledThreadPool(1);
exec.scheduleWithFixedDelay(new Runnable(){
public void run() {
try {
//获得变化部分的
randomFile.seek(lastTimeFileSize);
String tmp = "";
while( (tmp = randomFile.readLine())!= null) {
System.out.println(new String(tmp.getBytes("ISO8859-1")));
out.println(new String(tmp.getBytes("ISO8859-1")));
out.flush();
}
thisfile=getNewFile(logFile); if(!thisfile.equals(newfile))
{
randomFile = new RandomAccessFile(new File(newfile),"r");
lastTimeFileSize=0;
} else
lastTimeFileSize = randomFile.length();
} catch (IOException e) {
throw new RuntimeException(e);
}
}
}, 0, 1, TimeUnit.SECONDS);
}
public static void main(String[] args) throws Exception {
LogViewToSocket view = new LogViewToSocket();
Socket socket=new Socket("192.168.27.100",5678);
PrintWriter out=new PrintWriter(socket.getOutputStream());
final File tmpLogFile = new File("/home/hadoop/test");
view.realtimeShowLog(tmpLogFile,out);
// socket.close();
}
}
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.io.PrintWriter;
import java.net.ServerSocket;
import java.net.Socket;
import java.net.SocketAddress;
import java.util.*;
public class MyServerMulti {
private static Socket socket1; public static void main(String[] args) throws IOException {
ServerSocket server = new ServerSocket(5678);
int i=0;
ArrayList<PrintWriter> outs=new ArrayList<PrintWriter>();
/*
* 一个client socket发送数据过来， server端再发到其他client socket端
*
*/
Socket socket1=null; while (true) {
Socket socket = server.accept();
i++;
System.out.println(i);
System.out.println(socket.getInetAddress());
PrintWriter out= new PrintWriter(socket.getOutputStream());
outs.add(out); if(i==1)
socket1=socket; if(i==2)
invoke(socket1,outs);
}
}
private static void invoke(final Socket client, final ArrayList<PrintWriter> outs) throws IOException {
new Thread(new Runnable() {
public void run() {
BufferedReader in = null;
PrintWriter out = null;
PrintWriter out1 = null; try {
in = new BufferedReader(new InputStreamReader(client.getInputStream()));
out = new PrintWriter(client.getOutputStream());
while (true) {
String msg = in.readLine();
System.out.println(msg);
out.println("Server received " + msg);
out.flush();
/*数据转发送到多个client*/
for(int i=0;i<outs.size();i++)
{
out1=outs.get(i);
System.out.println(i);
System.out.println("send msg:"+msg);
out1.println(msg);
out1.flush();
}
System.out.println(client.getInetAddress()); if (msg.equals("bye")) {
break;
}
}
} catch(IOException ex) {
ex.printStackTrace();
} finally {
try {
in.close();
} catch (Exception e) {}
try {
out.close();
} catch (Exception e) {}
try {
client.close();
} catch (Exception e) {}
}
}
}).start();
}
}
import java.io.BufferedReader;import java.io.BufferedWriter;import java.io.File;import java.io.FileNotFoundException;import java.io.FileOutputStream;import java.io.FileReader;import java.io.FileWriter;import java.io.IOException;import java.io.InputStreamReader;import java.io.OutputStreamWriter;import java.io.PrintWriter;import java.io.RandomAccessFile;import java.net.Socket;import java.net.UnknownHostException;import java.util.Map;
//import mytest.ThroughputTest.GenSpout;
import backtype.storm.Config;import backtype.storm.LocalCluster;import backtype.storm.StormSubmitter;import backtype.storm.generated.AlreadyAliveException;import backtype.storm.generated.InvalidTopologyException;import backtype.storm.spout.SpoutOutputCollector;import backtype.storm.task.OutputCollector;import backtype.storm.task.TopologyContext;import backtype.storm.topology.BasicOutputCollector;import backtype.storm.topology.OutputFieldsDeclarer;import backtype.storm.topology.TopologyBuilder;import backtype.storm.topology.base.BaseBasicBolt;import backtype.storm.topology.base.BaseRichBolt;import backtype.storm.topology.base.BaseRichSpout;import backtype.storm.tuple.Fields;import backtype.storm.tuple.Tuple;import backtype.storm.tuple.Values;import backtype.storm.utils.Utils;/*
*
*
* storm jar stormtest.jar socket.SocketProcess /home/hadoop/out_socket.txt true
*
*/
public class SocketProcess {
public static class SocketSpout extends BaseRichSpout {
/**
*/
static Socket sock=null; static BufferedReader in=null;
String str=null; private static final long serialVersionUID = 1L; private SpoutOutputCollector _collector; private BufferedReader br; private String dataFile; private BufferedWriter bw2;
RandomAccessFile randomFile; private long lastTimeFileSize = 0;
int cnt=0; //定义spout文件
SocketSpout(){
}
//定义如何读取spout文件
@Override
public void open(Map conf, TopologyContext context,
SpoutOutputCollector collector) { // TODO Auto-generated method stub
_collector = collector; try { sock=new Socket("192.168.27.100",5678); in=
new BufferedReader(new InputStreamReader(sock.getInputStream()));
} catch (UnknownHostException e) { // TODO Auto-generated catch block e.printStackTrace(); } catch (IOException e) { // TODO Auto-generated catch block e.printStackTrace(); }
}
//获取下一个tuple的方法
@Override
public void nextTuple() { // TODO Auto-generated method stub
if(sock==null){ try { sock=new Socket("192.168.27.100",5678); in=
new BufferedReader(new InputStreamReader(sock.getInputStream()));
} catch (UnknownHostException e) { // TODO Auto-generated catch block e.printStackTrace(); } catch (IOException e) { // TODO Auto-generated catch block e.printStackTrace(); }
}
while(true){
try { str = in.readLine(); } catch (IOException e) { // TODO Auto-generated catch block e.printStackTrace(); }
System.out.println(str);
_collector.emit(new Values(str)); if(str.equals("end")){
break;
}
}
}
@Override
public void declareOutputFields(OutputFieldsDeclarer declarer) { // TODO Auto-generated method stub
declarer.declare(new Fields("line"));
}
}
public static class Process extends BaseRichBolt{
private String _seperator; private String _outFile;
PrintWriter pw; private OutputCollector _collector; private BufferedWriter bw;
public Process(String outFile) {
this._outFile = outFile;
}
//把输出结果保存到外部文件里面。
@Override
public void prepare(Map stormConf, TopologyContext context,
OutputCollector collector) { // TODO Auto-generated method stub
this._collector = collector;
File out = new File(_outFile); try {// br = new BufferedWriter(new FileWriter(out));
bw = new BufferedWriter(new OutputStreamWriter(
new FileOutputStream(out, true)));
} catch (IOException e1) { // TODO Auto-generated catch block
e1.printStackTrace();
}
}
//blot计算单元，把tuple中的数据添加一个bkeep和回车。然后保存到outfile指定的文件中。
@Override
public void execute(Tuple input) { // TODO Auto-generated method stub
String line = input.getString(0);// System.out.println(line);
// String[] str = line.split(_seperator);
// System.out.println(str[2]);
try {
bw.write(line+",bkeep"+"\n");
bw.flush();
} catch (IOException e) { // TODO Auto-generated catch block
e.printStackTrace();
}
_collector.emit(new Values(line));
}
@Override
public void declareOutputFields(OutputFieldsDeclarer declarer) { // TODO Auto-generated method stub
declarer.declare(new Fields("line"));
}
}
public static void main(String[] argv) throws AlreadyAliveException, InvalidTopologyException{
String outFile = argv[0]; //输出文件
boolean distribute = Boolean.valueOf(argv[1]); //本地模式还是集群模式
TopologyBuilder builder = new TopologyBuilder(); //build一个topology
builder.setSpout("spout", new SocketSpout(), 1); //指定spout
builder.setBolt("bolt", new Process(outFile),1).shuffleGrouping("spout"); //指定bolt，包括bolt、process和grouping
Config conf = new Config(); if(distribute){
StormSubmitter.submitTopology("SocketProcess", conf, builder.createTopology());
}else{
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("SocketProcess", conf, builder.createTopology());
}
}
}
最后执行
storm jar stormtest.jar socket.SocketProcess /home/hadoop/out_socket.txt true
spout接受从socket服务器实时发送过来的数据，经过topology处理，最终将数据写入out_socket.txt文件
微信关注我们
转载内容版权归作者及来源网站所有！
低调大师中文资讯倾力打造互联网数据资讯、行业资源、电子商务、移动互联网、网络营销平台。持续更新报道IT业界、互联网、市场资讯、驱动更新,是最及时权威的产业资讯及硬件资讯报道平台。
马里奥是站在游戏界顶峰的超人气多面角色。马里奥靠吃蘑菇成长，特征是大鼻子、头戴帽子、身穿背带裤，还留着胡子。与他的双胞胎兄弟路易基一起，长年担任任天堂的招牌角色。
为解决软件依赖安装时官方源访问速度慢的问题，腾讯云为一些软件搭建了缓存服务。您可以通过使用腾讯云软件源站来提升依赖包的安装速度。为了方便用户自由搭建服务架构，目前腾讯云软件源站支持公网访问和内网访问。
Nacos /nɑ:kəʊs/ 是 Dynamic Naming and Configuration Service 的首字母简称，一个易于构建 AI Agent 应用的动态服务发现、配置管理和AI智能体管理平台。Nacos 致力于帮助您发现、配置和管理微服务及AI智能体应用。Nacos 提供了一组简单易用的特性集，帮助您快速实现动态服务发现、服务配置、服务元数据、流量管理。Nacos 帮助您更敏捷和容易地构建、交付和管理微服务平台。
Rocky Linux（中文名：洛基）是由Gregory Kurtzer于2020年12月发起的企业级Linux发行版，作为CentOS稳定版停止维护后与RHEL（Red Hat Enterprise Linux）完全兼容的开源替代方案，由社区拥有并管理，支持x86_64、aarch64等架构。其通过重新编译RHEL源代码提供长期稳定性，采用模块化包装和SELinux安全架构，默认包含GNOME桌面环境及XFS文件系统，支持十年生命周期更新。
扫码在手机上查看文章
扫描二维码，手机阅读更方便
有任何问题或合作意向欢迎联系我们
Email: 99873273@qq.com
QQ: 99873273