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15年在某電商從0設計了一個通用的API監控系統,當時只是計算了成功率+平均耗時,沒有算75,90,95,99,999,9999線,這次單位需要,所以促使我去思考這個問題,問了單位CAT維護人員,大致了解了計算方式,跟我在18年7月份在單位內網BBS發表的文章思路是一致的,所以就直接寫了下面的代碼
PercentageCalculation.java
package com.ymm.computation.udf.define;import org.apache.flink.table.functions.AggregateFunction;import org.slf4j.Logger;import org.slf4j.LoggerFactory;//批量計算95line類似的數據public class PercentageCalculation extends AggregateFunction<Object, PercentageAccumulator> { /** */ private static final long serialVersionUID = 4009559061130131166L; private static final Logger LOG = LoggerFactory .getLogger(PercentageCalculation.class); //private static BlockingQueue<PercentageAggregatorContainer> GLOBAL_QUEUE = new LinkedBlockingQueue<PercentageAggregatorContainer>(); @Override public PercentageAccumulator createAccumulator() { return new PercentageAccumulator(); } public void accumulate(PercentageAccumulator accumulator, Object value) { accumulator.accumulate(value); } @Override public Object getValue(PercentageAccumulator accumulator) { return accumulator.getValue(); } public void resetAccumulator(PercentageAccumulator acc) { acc = null;//help GC } }
PercentageAccumulator.java
package com.ymm.computation.udf.define;import org.slf4j.Logger;import org.slf4j.LoggerFactory;//!只針對時間來計算95線等,其它參數不要使用本類public class PercentageAccumulator { private static final Logger LOG = LoggerFactory .getLogger(PercentageAccumulator.class); public final static double PERCENT_50 = 0.5; public final static double PERCENT_75 = 0.25; public final static double PERCENT_90 = 0.1; public final static double PERCENT_95 = 0.05; public final static double PERCENT_99 = 0.01; public final static double PERCENT_999 = 0.001; public final static double PERCENT_9999 = 0.0001; public final static int PERCENT_COUNT = 7; private final static int[] SCALE = { // 1, // 2, // 4, // 8, // 16, // 32, // 64, // 128, // 256, // 512, // 1024, // 2048, // 4096, // 8192, // 16384, // 32768, // 65536 // }; private int[] countContainer = { // 0, //<=1 0, //<=2 0, //<=4 0, //<=8 0, //<=16 0, //<=32 0, //<=64 0, //<=128 0, //<=256 0, //<=512 0, //<=1024 0, //<=2048 0, //<=4096 0, //<=8192 0, //<=16384 0, //<=32768 0 //<=65536 }; private int positionByTwoDivision(int[] array, int begin, int end, int value) { int mid = (begin + end) >> 1; int midValue = array[mid]; int halfMidValue = midValue >> 1; //判斷是否可以命中mid if (value > halfMidValue && value <= midValue) { return mid; } //沒法命中,則根據大小來定 if (value <= halfMidValue) { if (mid - 1 < 0) {//沒路可走的邊界條件 return 0; } return positionByTwoDivision(array, begin, mid - 1, value); } else { return positionByTwoDivision(array, mid + 1, end, value); } } public int positionInValueArray(int val) { int length = SCALE.length; //如果大于最大值|小于等于最小值 if (val >= SCALE[length - 1]) { return length - 1; } else if (val <= SCALE[0]) { return 0; } //采用2分法來計算 return positionByTwoDivision(SCALE, 0, length - 1, val); } public void accumulate(Object value) { //轉換為long值,int值夠用了 Long longValue = (Long) value; int intValue = longValue.intValue(); //找到下標 int index = positionInValueArray(intValue); countContainer[index]++; } //確保在[1,MAX]范圍內, //自然順序 private int adjust(int input, int max) { if (input <= 1) { return 1; } else if (input >= max) { return max; } else { return input; } } private static final ThreadLocal<StringBuilder> STR_BUILDER_ThreadLocal = new ThreadLocal<StringBuilder>() { public StringBuilder initialValue() { return new StringBuilder(); } }; private static final String SEPARATOR = ":"; public String getValue() { //total int total = 0; int length = countContainer.length; for (int index = 0; index < length; index++) { total += countContainer[index]; } //如果total為0的異常情況 //注意是自然序---[1,total] int percent_9999_pos = adjust((int) (total * PERCENT_9999), total); boolean found_9999 = false; int percent_9999_value = Integer.MAX_VALUE; //999 int percent_999_pos = adjust((int) (total * PERCENT_999), total); boolean found_999 = false; int percent_999_value = Integer.MAX_VALUE; //99 int percent_99_pos = adjust((int) (total * PERCENT_99), total); boolean found_99 = false; int percent_99_value = Integer.MAX_VALUE; //95 int percent_95_pos = adjust((int) (total * PERCENT_95), total); boolean found_95 = false; int percent_95_value = Integer.MAX_VALUE; //90 int percent_90_pos = adjust((int) (total * PERCENT_90), total); boolean found_90 = false; int percent_90_value = Integer.MAX_VALUE; //75 int percent_75_pos = adjust((int) (total * PERCENT_75), total); boolean found_75 = false; int percent_75_value = Integer.MAX_VALUE; //50 int percent_50_pos = adjust((int) (total * PERCENT_50), total); boolean found_50 = false; int percent_50_value = Integer.MAX_VALUE; //開始遍歷每一個元素,從后往前算 int scanned = 0; int left = PERCENT_COUNT; for (int index = length - 1; index >= 0; index--) { //當前沒有值,無論如何也不會成為備選 if (0 == countContainer[index]) { continue; } //當前有值 scanned += countContainer[index]; //逐個判斷 //9999線 if (false == found_9999 && scanned >= percent_9999_pos) { percent_9999_value = SCALE[index]; found_9999 = true; left--; } //999線 if (false == found_999 && scanned >= percent_999_pos) { percent_999_value = SCALE[index]; found_999 = true; left--; } //99線 if (false == found_99 && scanned >= percent_99_pos) { percent_99_value = SCALE[index]; found_99 = true; left--; } //95線 if (false == found_95 && scanned >= percent_95_pos) { percent_95_value = SCALE[index]; found_95 = true; left--; } //90線 if (false == found_90 && scanned >= percent_90_pos) { percent_90_value = SCALE[index]; found_90 = true; left--; } //75線 if (false == found_75 && scanned >= percent_75_pos) { percent_75_value = SCALE[index]; found_75 = true; left--; } //50線 if (false == found_50 && scanned >= percent_50_pos) { percent_50_value = SCALE[index]; found_50 = true; left--; } //全部都找到了就break if (0 == left) { break; } } //所有的值都算好了 //拿出來時先reset一下 StringBuilder stringBuilder = STR_BUILDER_ThreadLocal.get(); stringBuilder.delete(0, stringBuilder.length()); //開始掛各種數據,測試表明每秒幾百萬次執行 stringBuilder.append(percent_50_value); stringBuilder.append(SEPARATOR); stringBuilder.append(percent_75_value); stringBuilder.append(SEPARATOR); stringBuilder.append(percent_90_value); stringBuilder.append(SEPARATOR); stringBuilder.append(percent_95_value); stringBuilder.append(SEPARATOR); stringBuilder.append(percent_99_value); stringBuilder.append(SEPARATOR); stringBuilder.append(percent_999_value); stringBuilder.append(SEPARATOR); stringBuilder.append(percent_9999_value); //return return stringBuilder.toString(); } public void print() { for (int index = 0; index < this.countContainer.length; index++) { System.out.println(index + "->" + this.countContainer[index]); } } }
歡迎提出 優化建議,比如對GC更友好的優化建議!
這個函數的瓶頸在于stringbuilder.
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