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android开发获取进程内存使用情况方法
来源:互联网   发布日期:2016-01-19 12:23:40   浏览:2960次  

导读:Log i(TAG, memoryInfo threshold + memoryInfo threshold + n );ListRunningAppProcessInfo runningAppProcesses = activityManager getRunningAppProcesses();MapInteger, String pidM ...

Log.i(TAG, " memoryInfo.threshold " + memoryInfo.threshold + "n" );

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");

}

}

在看到上述代码之前,自己按照API说明也写了类似代码如下,包含了更多的输出参数。如果要检查其他进程的内存使用情况,可略去循环中的条件判断。 按stackoverflow.com中帖子的说法 Pss的值是最能表明进程使用内存状况

public long getmem_SELF() {

ActivityManager am = (ActivityManager) getSystemService(Context.ACTIVITY_SERVICE);

List<RunningAppProcessInfo> procInfo = am.getRunningAppProcesses();

for (RunningAppProcessInfo runningAppProcessInfo : procInfo) {

System.out.println(runningAppProcessInfo.processName+ String.format

(",pid = %d", runningAppProcessInfo.pid));

if( runningAppProcessInfo.processName.indexOf(this.getPackageName()) != -1 )

{

int pids[] = {runningAppProcessInfo.pid};

Debug.MemoryInfo self_mi[] = am.getProcessMemoryInfo(pids);

StringBufferstrbuf = new StringBuffer();

strbuf.append(" proccess Name:").append(runningAppProcessInfo.processName)

.append("n pid:").append(runningAppProcessInfo.pid)

.append("n dalvikPrivateDirty:").append(self_mi[0].dalvikPrivateDirty)

.append("n dalvikPss:").append(self_mi[0].dalvikPss)

.append("n dalvikSharedDirty:").append(self_mi[0].dalvikSharedDirty)

.append("n nativePrivateDirty:").append(self_mi[0].nativePrivateDirty)

.append("n nativePss:").append(self_mi[0].nativePss)

.append("n nativeSharedDirty:").append(self_mi[0].nativeSharedDirty)

.append("n otherPrivateDirty:").append(self_mi[0].otherPrivateDirty)

.append("n otherPss:").append(self_mi[0].otherPss)

.append("n otherSharedDirty:").append(self_mi[0].otherSharedDirty)

.append("n TotalPrivateDirty:").append(self_mi[0].getTotalPrivateDirty())

.append("n TotalPss:").append(self_mi[0].getTotalPss())

.append("n TotalSharedDirty:").append(self_mi[0].getTotalSharedDirty());

Log.v("TEST",strbuf.toString());

}

}

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