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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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* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
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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;
}
}