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Loadrunner通过ssh连接调用hadoop的测试Jar包进行基准测试,似乎有点讨巧,而且好像实际意义也不是特别大,但是通过这个方法的展示,能够看到Loadrunner的生命力有多大,而且在linux系统测试和开源技术的测试中,也是能够有用武之地,所以本文算是来个抛砖引玉吧。
1、在loadrunner中新建脚本(本文以LoadRunner11为例),要求选择协议类型为Java->Java Vuser
2、在Run-time Settings设置JDK路径,由于LoadRunner11不支持jdk1.8,本次测试是拷贝了一份低版本的JDK1.6,所以路径选择固定路径模式(Use specified JDK),当然也可以将JDK1.6配到环境变量中,LoadRunner就可以直接调了。
3、上网下载个jsch-0.1.41.jar,然后在LoadRunner中加载jsch的jar包
4、在Loadrunner中以Java Vuser协议创建脚本,脚本样例如下:
/*
* LoadRunner Java script. (Build: _build_number_)
*
* Script Description:
*
*/
import lrapi.lr;
import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.util.Vector;
import com.jcraft.jsch.Channel;
import com.jcraft.jsch.ChannelExec;
import com.jcraft.jsch.JSch;
import com.jcraft.jsch.JSchException;
import com.jcraft.jsch.Session;
import java.io.InputStream;
public class Actions
{
private String ipAddress;
private String username;
private String password;
public static final int DEFAULT_SSH_PORT = 22;
private Vector<String> stdout;
private Session session=null;
private Channel channel=null;
public void SSHCommandExecutor(final String ipAddress, final String username, final String password) {
this.ipAddress = ipAddress;
this.username = username;
this.password = password;
stdout = new Vector<String>();
JSch jsch = new JSch();
try{
session = jsch.getSession(username, ipAddress, DEFAULT_SSH_PORT);
session.setPassword(password);
session.setConfig("StrictHostKeyChecking", "no");
//session.setUserInfo(userInfo);
session.connect();
// Create and connect channel.
channel = session.openChannel("exec");
} catch (JSchException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (Exception e) {
e.printStackTrace();
}
}
public int CommandExecute(final String command) {
int returnCode = 0;
try {
((ChannelExec) channel).setCommand(command);
channel.setInputStream(null);
BufferedReader input = new BufferedReader(new InputStreamReader(channel
.getInputStream()));
channel.connect();
System.out.println("The remote command is: " + command);
// Get the output of remote command.
String line;
while ((line = input.readLine()) != null) {
stdout.add(line);
}
input.close();
// Get the return code only after the channel is closed.
if (channel.isClosed()) {
returnCode = channel.getExitStatus();
}
// Disconnect the channel and session.
//channel.disconnect();
//session.disconnect();
} catch (JSchException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (Exception e) {
e.printStackTrace();
}
return returnCode;
}
public int init() throws Throwable {
SSHCommandExecutor("172.17.2.12", "root", "123456");
return 0;
}//end of init
public int action() throws Throwable {
lr.start_transaction("exe_command");
//----------------------------------------写入2个1M的文件---------------------------------
/*String commandStr="yarn jar /usr/hdp/2.3.2.0-2950/hadoop-mapreduce/hadoop-mapreduce-client-jobclient-2.7.1.2.3.2.0-2950-tests.jar TestDFSIO -write -nrFiles 2 -fileSize 1";
String commandLog="cat -b /root/TestDFSIO_results.log |tail -n10";*/
//--------------------------------------------TestDFSIO -clean---------------------------
//---------------------使用12个mapper和6个reducer来创建12个文件----------------------------
String commandStr="yarn jar /usr/hdp/2.3.2.0-2950/hadoop-mapreduce/hadoop-mapreduce-client-jobclient-2.7.1.2.3.2.0-2950-tests.jar nnbench \\";
commandStr+="\n -operation create_write -maps 12 -reduces 6 -blockSize 1 \\";
commandStr+="\n -bytesToWrite 0 -numberOfFiles 12 -replicationFactorPerFile 3 \\";
commandStr+="\n -readFileAfterOpen true -baseDir /benchmarks/NNBench-`hostname -s`";
String commandLog="cat -b /root/NNBench_results.log |tail -n30";
// ---------------------------------------------------------------------------------------
// ------------------------------重复运行一个小作业10次,每次使用2个maps和1个reduces---------
/*String commandStr="yarn jar /usr/hdp/2.3.2.0-2950/hadoop-mapreduce/hadoop-mapreduce-client-jobclient-2.7.1.2.3.2.0-2950-tests.jar mrbench -numRuns 10 -maps 2 -reduces 1";
String commandLog="";//无日志文件,属于动态输出日志*/
//----------------------------------------------------------------------------------------
CommandExecute(commandStr+" \n "+commandLog);//commandStr表示运行hadoop的命令,commandLog表示要输出的日志
for (String str : stdout) {
System.out.println(str);
}
lr.end_transaction("exe_command", lr.AUTO);
return 0;
}//end of action
public int end() throws Throwable {
try{
channel.disconnect();
session.disconnect();
}catch(Exception e){
System.out.println(e);
}
return 0;
}//end of end
}
以上脚本的核心部分是CommandExecute,通过ssh连接linux执行shell命令,一般情况下运行成功后会输出运行日志,但是hadoop基础测试包的调用有些日志是写到后台中的,所以可以通过加上cat -b /root/NNBench_results.log |tail -n30这样的命令(具体需要准确知道日志文件的所在路径),来输出当前执行成功后的日志(比如NNBench测试输出的最后30行就是当前日志)。
5、运行脚本,测试通过的输出如下所示:
6、对于Loadrunner通过C的方式远程连接linux,也是有方法的,具体可以参考别人的文章: