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@@ -2,7 +2,7 @@ package cn.mesalab.service;
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import cn.mesalab.config.ApplicationConfig;
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import cn.mesalab.dao.DruidData;
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import cn.mesalab.service.BaselineService.KalmanFilter;
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import cn.mesalab.service.algorithm.KalmanFilter;
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import cn.mesalab.utils.HbaseUtils;
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import cn.mesalab.utils.SeriesUtils;
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import com.google.common.collect.Lists;
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@@ -21,6 +21,7 @@ import java.util.stream.Collectors;
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/**
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* @author yjy
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* @version 1.0
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* baseline生成及写入
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* @date 2021/7/23 5:38 下午
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*/
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public class BaselineGeneration {
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@@ -37,18 +38,22 @@ public class BaselineGeneration {
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ApplicationConfig.DRUID_ATTACKTYPE_UDP_FLOOD,
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ApplicationConfig.DRUID_ATTACKTYPE_DNS_AMPL
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);
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private static final Integer BASELINE_POINT_NUM = ApplicationConfig.BASELINE_RANGE_DAYS * 24 * (60/ApplicationConfig.HISTORICAL_GRAD);
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private static final Integer BASELINE_POINT_NUM =
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ApplicationConfig.BASELINE_RANGE_DAYS * 24 * (60/ApplicationConfig.HISTORICAL_GRAD);
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/**
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* 程序执行
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*/
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public static void perform() {
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long start = System.currentTimeMillis();
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druidData = DruidData.getInstance();
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hbaseUtils = HbaseUtils.getInstance();
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hbaseTable = hbaseUtils.getHbaseTable();
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LOG.info("Druid 成功建立连接");
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try{
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// baseline生成并写入
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generateBaselinesThread();
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long last = System.currentTimeMillis();
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@@ -64,10 +69,12 @@ public class BaselineGeneration {
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System.exit(0);
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}
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/**
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* 多线程baseline生成入口
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* @throws InterruptedException
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*/
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private static void generateBaselinesThread() throws InterruptedException {
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int threadNum = Runtime.getRuntime().availableProcessors();
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// int threadNum = 10;
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ThreadFactory namedThreadFactory = new ThreadFactoryBuilder()
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.setNameFormat("baseline-demo-%d").build();
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@@ -82,15 +89,13 @@ public class BaselineGeneration {
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namedThreadFactory,
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new ThreadPoolExecutor.AbortPolicy());
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// baseline 生成及写入
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// 耗时测试
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Long startQueryIPList = System.currentTimeMillis();
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// IP列表获取
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ArrayList<String> destinationIps = druidData.getServerIpList();
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Long endQueryIPList = System.currentTimeMillis();
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LOG.info("共查询到服务端ip " +destinationIps.size() + " 个");
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LOG.info("Baseline batch 大小: " + ApplicationConfig.GENERATE_BATCH_SIZE);
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// 分批进行IP baseline生成和处理
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List<List<String>> batchIpLists = Lists.partition(destinationIps, ApplicationConfig.GENERATE_BATCH_SIZE);
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for (List<String> batchIps: batchIpLists){
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if(batchIps.size()>0){
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@@ -102,27 +107,24 @@ public class BaselineGeneration {
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executor.awaitTermination(10L, TimeUnit.HOURS);
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}
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/**
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* 批量生成IP baseline
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* @param ipList ip列表
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*/
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public static void generateBaselines(List<String> ipList){
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Long startGenerationBaselines= System.currentTimeMillis();
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Long startReadDruidData = System.currentTimeMillis();
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druidData = DruidData.getInstance();
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batchDruidData = druidData.readFromDruid(ipList);
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Long endReadDruidData = System.currentTimeMillis();
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//LOG.info("读取Druid数据耗时:"+(endReadDruidData-startReadDruidData));
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List<Put> putList = new ArrayList<>();
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for(String attackType: attackTypeList){
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for(String ip: ipList){
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int[] ipBaseline = generateSingleIpBaseline(ip, attackType);
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if (!(ipBaseline ==null)){
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if (ipBaseline!= null){
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putList = hbaseUtils.cachedInPut(putList, ip, ipBaseline, attackType, ApplicationConfig.BASELINE_METRIC_TYPE);
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}
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}
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}
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Long endGenerationBaselines= System.currentTimeMillis();
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//LOG.info("BaselineGeneration耗时:"+(endGenerationBaselines-endReadDruidData));
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try {
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hbaseTable.put(putList);
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LOG.info("Baseline 线程 " + Thread.currentThread().getId() + " 成功写入Baseline条数共计 " + putList.size());
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@@ -130,25 +132,27 @@ public class BaselineGeneration {
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e.printStackTrace();
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}
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Long endWriteTime = System.currentTimeMillis();
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//LOG.info("BaselineWriteIn耗时:"+(endWriteTime-endGenerationBaselines));
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druidData.closeConn();
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}
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/**
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* 单ip baseline生成逻辑
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* @param ip ip
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* @param attackType 攻击类型
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* @return baseline序列,长度为 60/HISTORICAL_GRAD*24
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*/
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private static int[] generateSingleIpBaseline(String ip, String attackType){
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// 查询
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Long startQuerySingleIPTime = System.currentTimeMillis();
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List<Map<String, Object>> originSeries = druidData.getTimeSeriesData(batchDruidData, ip, attackType);
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if (originSeries.size()==0){
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return null;
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}
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Long endQuerySingleIPTime = System.currentTimeMillis();
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// 时间序列缺失值补0
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List<Map<String, Object>> completSeries = SeriesUtils.complementSeries(originSeries);
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int[] baselineArr = new int[completSeries.size()];
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int[] baselineArr = new int[BASELINE_POINT_NUM];
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List<Integer>series = completSeries.stream().map(
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i -> Integer.valueOf(i.get(ApplicationConfig.BASELINE_METRIC_TYPE).toString())).collect(Collectors.toList());
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@@ -173,14 +177,14 @@ public class BaselineGeneration {
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}
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}
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Long endGenerateSingleIPTime = System.currentTimeMillis();
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//LOG.info("性能测试:单个baseline生成耗时——"+(endGenerateSingleIPTime-endQuerySingleIPTime));
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//System.out.println(ip);
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//System.out.println(attackType + Arrays.toString(baselineArr));
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return baselineArr;
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}
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/**
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* baseline 生成算法
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* @param timeSeries 输入序列
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* @return 输出序列
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*/
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private static int[] baselineFunction(List<Integer> timeSeries){
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int[] result;
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switch (ApplicationConfig.BASELINE_FUNCTION){
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