/* * Copyright (C) 2009 The Android Open Source Project * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package android.os; import android.util.Log; import java.util.HashMap; /** * A class to help with measuring latency in your code. * * Suggested usage: * 1) Instanciate a LatencyTimer as a class field. * private [static] LatencyTimer mLt = new LatencyTimer(100, 1000); * 2) At various points in the code call sample with a string and the time delta to some fixed time. * The string should be unique at each point of the code you are measuring. * mLt.sample("before processing event", System.nanoTime() - event.getEventTimeNano()); * processEvent(event); * mLt.sample("after processing event ", System.nanoTime() - event.getEventTimeNano()); * * @hide */ public final class LatencyTimer { final String TAG = "LatencyTimer"; final int mSampleSize; final int mScaleFactor; volatile HashMap<String, long[]> store = new HashMap<String, long[]>(); /** * Creates a LatencyTimer object * @param sampleSize number of samples to collect before printing out the average * @param scaleFactor divisor used to make each sample smaller to prevent overflow when * (sampleSize * average sample value)/scaleFactor > Long.MAX_VALUE */ public LatencyTimer(int sampleSize, int scaleFactor) { if (scaleFactor == 0) { scaleFactor = 1; } mScaleFactor = scaleFactor; mSampleSize = sampleSize; } /** * Add a sample delay for averaging. * @param tag string used for printing out the result. This should be unique at each point of * this called. * @param delta time difference from an unique point of reference for a particular iteration */ public void sample(String tag, long delta) { long[] array = getArray(tag); // array[mSampleSize] holds the number of used entries final int index = (int) array[mSampleSize]++; array[index] = delta; if (array[mSampleSize] == mSampleSize) { long totalDelta = 0; for (long d : array) { totalDelta += d/mScaleFactor; } array[mSampleSize] = 0; Log.i(TAG, tag + " average = " + totalDelta / mSampleSize); } } private long[] getArray(String tag) { long[] data = store.get(tag); if (data == null) { synchronized(store) { data = store.get(tag); if (data == null) { data = new long[mSampleSize + 1]; store.put(tag, data); data[mSampleSize] = 0; } } } return data; } }