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This module implements a sampling CPU and memory profiler (in contrast to the Profiler which uses instrumentation).<BR><BR> CPU profiling requires a JMX connection to the monitored application, once correctly set up you can profile both local and remote applications.<BR><BR> Memory profiling requires Attach API, so only local applications running on JDK 6+ are supported.

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package org.graalvm.visualvm.sampler.cpu;

import java.lang.management.ThreadInfo;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

/**
 *
 * @author Tomas Hurka
 */
class ThreadsCPUInfo {
    
    private List threads = new ArrayList<>();
    private List cputime = new ArrayList<>();
    private Map cputimeMap;
    private long totalCPUTime;
    private long timestamp;
    private long totalDiffCPUTime;
    
    ThreadsCPUInfo(long time, ThreadInfo[] tinfo, long[] cpuinfo) {
        cputimeMap = new HashMap<>(threads.size()*4/3);
        totalCPUTime = 0;
        for (int i = 0; i  getThreads() {
        return threads;
    }
    
    List getThreadCPUTime() {
        return cputime;
    }
    
    long getTotalCPUTime() {
        return totalCPUTime;
    }
    
    List getThreadCPUTimeDiff(ThreadsCPUInfo info) {
        List cpuTimeDiff = new ArrayList<>(threads.size());
        List newThreads = info.getThreads();
        List newCPUTime = info.getThreadCPUTime();
        
        totalDiffCPUTime = 0;
        for (int i=0; i getCPUTimePerSecond(ThreadsCPUInfo newInfo) {
        assert newInfo.timestamp >= timestamp;
        List diff = getThreadCPUTimeDiff(newInfo);
        double secs = (newInfo.timestamp - timestamp) / 1000.0;
        List diffPerSec = new ArrayList<>(diff.size());
        
        for (Long d : diff) {
            diffPerSec.add(new Long((long)(d/secs)));
        }
        return diffPerSec;
    }
}




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