Android：如何获取所有正在运行的进程的总 PSS

Question

I am trying to find the relative memory usage of each running application and service using the dalvikPss value as suggested here

As suggested there, I need to sum up all the PSS values of running processes. My question is, how do get the pss values of all running processes?

My understanding is that services and tasks in Android are linked to processes. Is this understanding correct?

If so, would summing the PSS values of all processes returned from ActivityManager.getRunningAppProcesses give me the total PSS of all running processes (services and tasks included)?

Answer 1

for getting PSS values of all running processes: use this:

ActivityManager activityManager = (ActivityManager) context.getSystemService(ACTIVITY_SERVICE);  
List<RunningAppProcessInfo> runningAppProcesses = activityManager.getRunningAppProcesses();  
Map<Integer, String> pidMap = new TreeMap<Integer, String>();  
for (RunningAppProcessInfo runningAppProcessInfo : runningAppProcesses)  
{  
    pidMap.put(runningAppProcessInfo.pid, runningAppProcessInfo.processName);  
}  
Collection<Integer> keys = pidMap.keySet();  
for(int key : keys)  
{  
    int pids[] = new int[1];  
    pids[0] = key;  
    android.os.Debug.MemoryInfo[] memoryInfoArray = activityManager.getProcessMemoryInfo(pids);  
    for(android.os.Debug.MemoryInfo pidMemoryInfo: memoryInfoArray)  
    {  
        Log.i(TAG, String.format("** MEMINFO in pid %d [%s] **\n",pids[0],pidMap.get(pids[0])));  
        Log.i(TAG, " pidMemoryInfo.getTotalPrivateDirty(): " + pidMemoryInfo.getTotalPrivateDirty() + "\n");  
        Log.i(TAG, " pidMemoryInfo.getTotalPss(): " + pidMemoryInfo.getTotalPss() + "\n");  
        Log.i(TAG, " pidMemoryInfo.getTotalSharedDirty(): " + pidMemoryInfo.getTotalSharedDirty() + "\n");  
    }  
} 

OR you can also get PSS value using Runtime:

    final Process m_process = Runtime.getRuntime().exec("/system/bin/top -n 1");
    final StringBuilder sbread = new StringBuilder();
    BufferedReader bufferedReader = new BufferedReader(new 
InputStreamReader(m_process.getInputStream()), 8192);