以下是在 Spring Boot 项目中使用sigar库获取系统信息的另一种方式,无需依赖Who5:
首先,在pom.xml中添加sigar依赖:
<dependency>
<groupId>org.fusesource</groupId>
<artifactId>sigar</artifactId>
<version>1.6.4</version>
</dependency>
然后,创建一个工具类来获取进程信息:
import org.hyperic.sigar.CpuPerc;
import org.hyperic.sigar.ProcCpu;
import org.hyperic.sigar.ProcMem;
import org.hyperic.sigar.Sigar;
import org.hyperic.sigar.SigarException;
import java.util.ArrayList;
import java.util.List;
public class ProcessMonitorUtil {
public static List<ProcessInfo> getProcessInfos() {
Sigar sigar = new Sigar();
List<ProcessInfo> processInfos = new ArrayList<>();
try {
// 获取正在运行的进程列表
long[] pids = sigar.getProcList();
for (long pid : pids) {
try {
String processName = sigar.getProcExe(pid).getName();
ProcCpu procCpu = sigar.getProcCpu(pid);
CpuPerc cpuPerc = procCpu.getPercent();
ProcMem procMem = sigar.getProcMem(pid);
long memoryUsage = procMem.getResident();
// 假设总物理内存为 8GB(8589934592 字节),计算内存使用率
double totalMemory = 8589934592.0;
double memoryUsagePercent = memoryUsage / totalMemory * 100;
processInfos.add(new ProcessInfo(processName, (int) pid, cpuPerc.getCombined(), memoryUsagePercent));
} catch (SigarException e) {
// 处理获取单个进程信息时的异常
e.printStackTrace();
}
}
} catch (SigarException e) {
e.printStackTrace();
}
return processInfos;
}
static class ProcessInfo {
String processName;
int pid;
double cpuUsage;
double memoryUsagePercent;
public ProcessInfo(String processName, int pid, double cpuUsage, double memoryUsagePercent) {
this.processName = processName;
this.pid = pid;
this.cpuUsage = cpuUsage;
this.memoryUsagePercent = memoryUsagePercent;
}
}
}
你可以在 Spring Boot 的服务类或控制器中调用这个工具类来获取进程信息并进行处理。例如:
import org.springframework.stereotype.Service;
import java.util.List;
@Service
public class ProcessMonitorService {
public void printProcessInfos() {
List<ProcessMonitorUtil.ProcessInfo> processInfos = ProcessMonitorUtil.getProcessInfos();
for (ProcessMonitorUtil.ProcessInfo processInfo : processInfos) {
System.out.println("进程名称: " + processInfo.processName + ", PID: " + processInfo.pid + ", CPU 使用率: " + processInfo.cpuUsage + "%, 内存使用率: " + processInfo.memoryUsagePercent + "%");
}
}
}