to get help

out/artifacts/generate_baselines_jar/logs/ddos_baselines.log

@@ -86,3 +86,30 @@
 [2021-08-02 18:23:01] [INFO ]  [Thread:baseline-demo-3]  cn.mesalab.service.BaselineGeneration.generateBaselines(BaselineGeneration.java:128)  - Baseline 线程 18 成功写入Baseline条数共计 1
 [2021-08-02 18:23:01] [INFO ]  [Thread:baseline-demo-0]  cn.mesalab.service.BaselineGeneration.generateBaselines(BaselineGeneration.java:128)  - Baseline 线程 15 成功写入Baseline条数共计 6
 [2021-08-02 18:23:02] [INFO ]  [Thread:baseline-demo-1]  cn.mesalab.service.BaselineGeneration.generateBaselines(BaselineGeneration.java:128)  - Baseline 线程 16 成功写入Baseline条数共计 5
+[2021-08-02 20:32:57] [WARN ]  [Thread:main]  org.apache.hadoop.util.NativeCodeLoader.<clinit>(NativeCodeLoader.java:62)  - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
+[2021-08-02 20:32:57] [INFO ]  [Thread:ReadOnlyZKClient-192.168.44.12:2181@0x102cec62]  org.apache.zookeeper.Environment.logEnv(Environment.java:100)  - Client environment:zookeeper.version=3.4.10-39d3a4f269333c922ed3db283be479f9deacaa0f, built on 03/23/2017 10:13 GMT
+[2021-08-02 20:32:57] [INFO ]  [Thread:ReadOnlyZKClient-192.168.44.12:2181@0x102cec62]  org.apache.zookeeper.Environment.logEnv(Environment.java:100)  - Client environment:host.name=localhost
+[2021-08-02 20:32:57] [INFO ]  [Thread:ReadOnlyZKClient-192.168.44.12:2181@0x102cec62]  org.apache.zookeeper.Environment.logEnv(Environment.java:100)  - Client environment:java.version=1.8.0_271
+[2021-08-02 20:32:57] [INFO ]  [Thread:ReadOnlyZKClient-192.168.44.12:2181@0x102cec62]  org.apache.zookeeper.Environment.logEnv(Environment.java:100)  - Client environment:java.vendor=Oracle Corporation
+[2021-08-02 20:32:57] [INFO ]  [Thread:ReadOnlyZKClient-192.168.44.12:2181@0x102cec62]  org.apache.zookeeper.Environment.logEnv(Environment.java:100)  - Client environment:java.home=/Library/Java/JavaVirtualMachines/jdk1.8.0_271.jdk/Contents/Home/jre
+[2021-08-02 20:32:57] [INFO ]  [Thread:ReadOnlyZKClient-192.168.44.12:2181@0x102cec62]  org.apache.zookeeper.Environment.logEnv(Environment.java:100)  - Client environment:java.class.path=generate-baselines.jar
+[2021-08-02 20:32:57] [INFO ]  [Thread:ReadOnlyZKClient-192.168.44.12:2181@0x102cec62]  org.apache.zookeeper.Environment.logEnv(Environment.java:100)  - Client environment:java.library.path=/Users/joy/Library/Java/Extensions:/Library/Java/Extensions:/Network/Library/Java/Extensions:/System/Library/Java/Extensions:/usr/lib/java:.
+[2021-08-02 20:32:57] [INFO ]  [Thread:ReadOnlyZKClient-192.168.44.12:2181@0x102cec62]  org.apache.zookeeper.Environment.logEnv(Environment.java:100)  - Client environment:java.io.tmpdir=/var/folders/y_/8fnngp3d0v96m1nvj7m_v9gm0000gn/T/
+[2021-08-02 20:32:57] [INFO ]  [Thread:ReadOnlyZKClient-192.168.44.12:2181@0x102cec62]  org.apache.zookeeper.Environment.logEnv(Environment.java:100)  - Client environment:java.compiler=<NA>
+[2021-08-02 20:32:57] [INFO ]  [Thread:ReadOnlyZKClient-192.168.44.12:2181@0x102cec62]  org.apache.zookeeper.Environment.logEnv(Environment.java:100)  - Client environment:os.name=Mac OS X
+[2021-08-02 20:32:57] [INFO ]  [Thread:ReadOnlyZKClient-192.168.44.12:2181@0x102cec62]  org.apache.zookeeper.Environment.logEnv(Environment.java:100)  - Client environment:os.arch=x86_64
+[2021-08-02 20:32:57] [INFO ]  [Thread:ReadOnlyZKClient-192.168.44.12:2181@0x102cec62]  org.apache.zookeeper.Environment.logEnv(Environment.java:100)  - Client environment:os.version=10.16
+[2021-08-02 20:32:57] [INFO ]  [Thread:ReadOnlyZKClient-192.168.44.12:2181@0x102cec62]  org.apache.zookeeper.Environment.logEnv(Environment.java:100)  - Client environment:user.name=joy
+[2021-08-02 20:32:57] [INFO ]  [Thread:ReadOnlyZKClient-192.168.44.12:2181@0x102cec62]  org.apache.zookeeper.Environment.logEnv(Environment.java:100)  - Client environment:user.home=/Users/joy
+[2021-08-02 20:32:57] [INFO ]  [Thread:ReadOnlyZKClient-192.168.44.12:2181@0x102cec62]  org.apache.zookeeper.Environment.logEnv(Environment.java:100)  - Client environment:user.dir=/Users/joy/work/iie/project/cyber_narrator/DDos/code/generate-baselines/out/artifacts/generate_baselines_jar
+[2021-08-02 20:32:57] [INFO ]  [Thread:ReadOnlyZKClient-192.168.44.12:2181@0x102cec62]  org.apache.zookeeper.ZooKeeper.<init>(ZooKeeper.java:438)  - Initiating client connection, connectString=192.168.44.12:2181 sessionTimeout=90000 watcher=org.apache.hadoop.hbase.zookeeper.ReadOnlyZKClient$$Lambda$13/106865101@475140b4
+[2021-08-02 20:32:57] [INFO ]  [Thread:ReadOnlyZKClient-192.168.44.12:2181@0x102cec62-SendThread(192.168.44.12:2181)]  org.apache.zookeeper.ClientCnxn$SendThread.logStartConnect(ClientCnxn.java:1032)  - Opening socket connection to server 192.168.44.12/192.168.44.12:2181. Will not attempt to authenticate using SASL (unknown error)
+[2021-08-02 20:32:57] [INFO ]  [Thread:ReadOnlyZKClient-192.168.44.12:2181@0x102cec62-SendThread(192.168.44.12:2181)]  org.apache.zookeeper.ClientCnxn$SendThread.primeConnection(ClientCnxn.java:876)  - Socket connection established to 192.168.44.12/192.168.44.12:2181, initiating session
+[2021-08-02 20:32:57] [INFO ]  [Thread:ReadOnlyZKClient-192.168.44.12:2181@0x102cec62-SendThread(192.168.44.12:2181)]  org.apache.zookeeper.ClientCnxn$SendThread.onConnected(ClientCnxn.java:1299)  - Session establishment complete on server 192.168.44.12/192.168.44.12:2181, sessionid = 0x17aaebc65074806, negotiated timeout = 90000
+[2021-08-02 20:32:58] [INFO ]  [Thread:main]  cn.mesalab.service.BaselineGeneration.perform(BaselineGeneration.java:52)  - Druid 成功建立连接
+[2021-08-02 20:32:58] [INFO ]  [Thread:main]  cn.mesalab.dao.DruidData.getServerIpList(DruidData.java:76)  - 性能测试：ip list查询耗时——160
+[2021-08-02 20:32:58] [INFO ]  [Thread:main]  cn.mesalab.service.BaselineGeneration.generateBaselinesThread(BaselineGeneration.java:94)  - 共查询到服务端ip 1000 个
+[2021-08-02 20:32:58] [INFO ]  [Thread:main]  cn.mesalab.service.BaselineGeneration.generateBaselinesThread(BaselineGeneration.java:95)  - Baseline batch 大小: 1000
+[2021-08-02 20:33:10] [INFO ]  [Thread:baseline-demo-0]  cn.mesalab.service.BaselineGeneration.generateBaselines(BaselineGeneration.java:132)  - Baseline 线程 15 成功写入Baseline条数共计 2602
+[2021-08-02 20:33:10] [WARN ]  [Thread:main]  cn.mesalab.service.BaselineGeneration.perform(BaselineGeneration.java:58)  - 运行时间:14432
+[2021-08-02 20:33:10] [INFO ]  [Thread:main]  cn.mesalab.service.BaselineGeneration.perform(BaselineGeneration.java:62)  - Druid 关闭连接

src/main/java/cn/mesalab/dao/DruidData.java

@@ -6,6 +6,7 @@ import cn.mesalab.utils.DruidUtils;
 import io.vavr.Tuple;
 import io.vavr.Tuple2;
 import org.apache.calcite.avatica.AvaticaConnection;
+import org.apache.calcite.avatica.AvaticaStatement;
 import org.apache.commons.lang.StringUtils;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
@@ -22,69 +23,79 @@ import java.util.stream.Collectors;
 /**
  * @author yjy
  * @version 1.0
+ * Druid 数据库操作
  * @date 2021/7/23 4:56 下午
  */
 public class DruidData {
 
     private static final Logger LOG = LoggerFactory.getLogger(DruidData.class);
     private static DruidData druidData;
-
     private AvaticaConnection connection;
-
+    private AvaticaStatement statement;
-    {
-        try {
-            connection = DruidUtils.getConn();
-        } catch (SQLException exception) {
-            exception.printStackTrace();
-        }
-    }
-
-
     private String timeFilter = ApplicationConfig.DRUID_RECVTIME_COLUMN_NAME
             + " >= MILLIS_TO_TIMESTAMP(" + getTimeLimit()._2
             + ") AND " + ApplicationConfig.DRUID_RECVTIME_COLUMN_NAME
             + " < MILLIS_TO_TIMESTAMP(" + getTimeLimit()._1 + ")";
 
 
+    {
+        connectionInit();
+    }
 
+    /**
+     * 连接初始化
+     */
+    private void connectionInit(){
+        try {
+            connection = DruidUtils.getConn();
+            statement = connection.createStatement();
+            statement.setQueryTimeout(0);
+
+        } catch (SQLException exception) {
+            exception.printStackTrace();
+        }
+    }
+
+    /**
+     * 获取实例
+     * @return DruidData实例
+     */
     public static DruidData getInstance() {
         druidData = new DruidData();
         return druidData;
     }
 
+    /**
+     * 获取distinct server ip
+     * @return ArrayList<String> ip列表
+     */
     public ArrayList<String> getServerIpList() {
-        Long startQueryIPLIstTime = System.currentTimeMillis();
+        Long startQueryIpLIstTime = System.currentTimeMillis();
-        ArrayList<String> serverIPs = new ArrayList<String>();
+        ArrayList<String> serverIps = new ArrayList<String>();
         String sql = "SELECT distinct " + ApplicationConfig.DRUID_SERVERIP_COLUMN_NAME
                 + " FROM " + ApplicationConfig.DRUID_TABLE
-                + " WHERE " + timeFilter;// FOR TEST
+                + " WHERE " + timeFilter
+                + " LIMIT 10";// FOR TEST
         try{
-            ResultSet resultSet = DruidUtils.executeQuery(connection,sql);
+            ResultSet resultSet = DruidUtils.executeQuery(statement,sql);
             while(resultSet.next()){
                 String ip = resultSet.getString(ApplicationConfig.DRUID_SERVERIP_COLUMN_NAME);
-                serverIPs.add(ip);
+                serverIps.add(ip);
             }
         } catch (Exception e){
             e.printStackTrace();
         }
-        Long endQueryIPListTime = System.currentTimeMillis();
+        Long endQueryIpListTime = System.currentTimeMillis();
-        LOG.info("性能测试：ip list查询耗时——"+(endQueryIPListTime-startQueryIPLIstTime));
+        LOG.info("性能测试：ip list查询耗时——"+(endQueryIpListTime-startQueryIpLIstTime));
 
-        return serverIPs;
+        return serverIps;
-    }
-
-    public List<Map<String, Object>> getTimeSeriesData(List<Map<String, Object>> allData, String ip, String attackType){
-        List<Map<String, Object>> rsList = new ArrayList<>();
-        try{
-            rsList = allData.stream().
-                    filter(i->((i.get(ApplicationConfig.DRUID_SERVERIP_COLUMN_NAME).equals(ip))
-                            )&&(i.get(ApplicationConfig.DRUID_ATTACKTYPE_COLUMN_NAME).equals(attackType)))
-                    .collect(Collectors.toList());
-        } catch (NullPointerException e){
-        }
-        return rsList;
     }
 
+    /**
+     * 从Druid读取目标IP相关数据
+     * @param ipList ip列表
+     * @return 数据库读取结果
+     */
     public List<Map<String, Object>> readFromDruid(List<String> ipList){
         List<Map<String, Object>> rsList = null;
         ipList = ipList.stream().map( ip -> "\'"+ip+"\'").collect(Collectors.toList());
@@ -98,7 +109,7 @@ public class DruidData {
                 + " IN " + ipString
                 + " AND " + timeFilter;
         try{
-            ResultSet resultSet = DruidUtils.executeQuery(connection,sql);
+            ResultSet resultSet = DruidUtils.executeQuery(statement, sql);
             ResultSetToListService service  = new ResultSetToListServiceImp();
             rsList = service.selectAll(resultSet);
         } catch (Exception e){
@@ -107,6 +118,29 @@ public class DruidData {
         return rsList;
     }
 
+    /**
+     * 从数据库读取结果中筛选指定ip的指定攻击类型的数据
+     * @param allData 数据库读取结果
+     * @param ip 指定ip
+     * @param attackType 指定攻击类型
+     * @return 筛选结果
+     */
+    public List<Map<String, Object>> getTimeSeriesData(List<Map<String, Object>> allData, String ip, String attackType){
+        List<Map<String, Object>> rsList = new ArrayList<>();
+        try{
+            rsList = allData.stream().
+                    filter(i->((i.get(ApplicationConfig.DRUID_SERVERIP_COLUMN_NAME).equals(ip))
+                            )&&(i.get(ApplicationConfig.DRUID_ATTACKTYPE_COLUMN_NAME).equals(attackType)))
+                    .collect(Collectors.toList());
+        } catch (NullPointerException e){
+        }
+        return rsList;
+    }
+
+    /**
+     * 计算查询时间范围，可指定时间范围（测试）或使用默认配置
+     * @return 时间范围起始点和终止点
+     */
     public Tuple2<Long, Long> getTimeLimit(){
         long maxTime = 0L;
         long minTime = 0L;
@@ -140,6 +174,9 @@ public class DruidData {
         return getCurrentDay(0);
     }
 
+    /**
+     * 关闭当前DruidData
+     */
     public void closeConn(){
         try {
             DruidUtils.closeConnection();

src/main/java/cn/mesalab/main/BaselineApplication.java

@@ -1,6 +1,7 @@
 package cn.mesalab.main;
 
 import cn.mesalab.service.BaselineGeneration;
+import sun.rmi.runtime.Log;
 
 /**
  * @author yjy

src/main/java/cn/mesalab/service/BaselineGeneration.java

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

src/main/java/cn/mesalab/service/algorithm/KalmanFilter.java

@@ -1,4 +1,4 @@
-package cn.mesalab.service.BaselineService;
+package cn.mesalab.service.algorithm;
 
 import cn.mesalab.config.ApplicationConfig;
 
@@ -8,12 +8,11 @@ import java.util.List;
 /**
  * @author yjy
  * @version 1.0
+ * kalman滤波器
  * @date 2021/7/25 1:42 下午
  */
 
 public class KalmanFilter {
-
-    /**Kalman Filter*/
     private Integer predict;
     private Integer current;
     private Integer estimate;
@@ -29,6 +28,7 @@ public class KalmanFilter {
     }
 
     public void initial(){
+        // TODO 调整
         pdelt = 1;
         mdelt = 1;
     }
@@ -54,9 +54,7 @@ public class KalmanFilter {
 
 
     public void forcast(List<Integer> historicalSeries, Integer length){
-        // 初始值计算
         int oldvalue = (historicalSeries.stream().mapToInt(Integer::intValue).sum())/historicalSeries.size();
-        // 滤波
         smoothSeries = new ArrayList<Integer>();
         for(int i = 0; i < historicalSeries.size(); i++){
             int value = historicalSeries.get(i);

src/main/java/cn/mesalab/utils/DruidUtils.java

@@ -19,6 +19,7 @@ public class DruidUtils {
     private static ThreadLocal<AvaticaConnection> threadLocal = new ThreadLocal<AvaticaConnection>();
 
     private static final String DRUID_URL = ApplicationConfig.DRUID_URL;
+    private static AvaticaStatement statement = null;
 
     /**
      * 打开连接
@@ -46,8 +47,7 @@ public class DruidUtils {
     /**
      * 根据sql查询结果
      */
-    public static ResultSet executeQuery (AvaticaConnection connection,  String sql) throws SQLException{
+    public static ResultSet executeQuery (AvaticaStatement statement, String sql) throws SQLException{
-        AvaticaStatement statement = connection.createStatement();
         ResultSet resultSet  = statement.executeQuery(sql);
         return resultSet;
     }

src/main/resources/application.properties

@@ -54,5 +54,5 @@ baseline.kalman.r=0.002
 # 每更新1000个记录打印log
 log.write.count=10000
 # FOR TEST
-generate.batch.size=100
+generate.batch.size=1
 

src/test/java/cn/mesalab/service/HBaseTest.java

@@ -0,0 +1,92 @@
+package cn.mesalab.service;
+
+/**
+ * @author yjy
+ * @version 1.0
+ * @date 2021/8/3 11:21 上午
+ */
+
+import cn.mesalab.config.ApplicationConfig;
+import cn.mesalab.dao.DruidData;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.hbase.*;
+import org.apache.hadoop.hbase.client.*;
+import org.apache.hadoop.hbase.filter.SingleColumnValueFilter;
+import org.apache.hadoop.hbase.util.Bytes;
+import org.apache.hadoop.io.ArrayWritable;
+import org.apache.hadoop.io.IntWritable;
+import org.apache.hadoop.io.Writable;
+import org.apache.hadoop.io.WritableUtils;
+
+import java.io.ByteArrayInputStream;
+import java.io.DataInputStream;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+
+public class HBaseTest {
+    public static void main(String[] args) throws IOException {
+        org.apache.hadoop.conf.Configuration config = HBaseConfiguration.create();
+
+        config.set(HConstants.ZOOKEEPER_QUORUM, ApplicationConfig.HBASE_ZOOKEEPER_QUORUM);
+        config.set(HConstants.ZOOKEEPER_CLIENT_PORT, ApplicationConfig.HBASE_ZOOKEEPER_CLIENT_PORT);
+
+        TableName tableName  = TableName.valueOf(ApplicationConfig.HBASE_TABLE);
+        Connection conn = ConnectionFactory.createConnection(config);
+        Table table = conn.getTable(tableName);
+
+
+        DruidData druidData = DruidData.getInstance();
+        ArrayList<String> destinationIps = druidData.getServerIpList();
+
+        for (String ip : destinationIps){
+            Get abcGet = new Get(Bytes.toBytes(ip));
+            Result r = table.get(abcGet);
+            ArrayWritable w = new ArrayWritable(IntWritable.class);
+            List<String> attackTypeList = Arrays.asList(
+                    "TCP SYN Flood",
+                    "ICMP Flood",
+                    "UDP Flood",
+                    "DNS Amplification"
+            );
+                for (String attackType : attackTypeList){
+                    byte[] session_nums = r.getValue(Bytes.toBytes(attackType), Bytes.toBytes("session_num"));
+                    if (session_nums==null){
+                        continue;
+                    }
+                    w.readFields(new DataInputStream(new ByteArrayInputStream(session_nums)));
+                    ArrayList<Integer> arr2 = fromWritable(w);
+                    System.out.println(ip + "-" + attackType + ": " + arr2.toString());
+                }
+
+        }
+
+//        Get abcGet = new Get(Bytes.toBytes("1.0.0.1"));
+//        Result r = table.get(abcGet);
+//        ArrayWritable w = new ArrayWritable(IntWritable.class);
+//        w.readFields(new DataInputStream(new ByteArrayInputStream(r.getValue(Bytes.toBytes("TCP SYN Flood"), Bytes.toBytes("session_num")))));
+//        ArrayList<Integer> arr2 = fromWritable(w);
+//        System.out.println(arr2.toString());
+
+
+    }
+
+    public static Writable toWritable(int[] arr) {
+        Writable[] content = new Writable[arr.length];
+        for (int i = 0; i < content.length; i++) {
+            content[i] = new IntWritable(arr[i]);
+        }
+        return new ArrayWritable(IntWritable.class, content);
+    }
+
+    public static ArrayList<Integer> fromWritable(ArrayWritable writable) {
+        Writable[] writables = ((ArrayWritable) writable).get();
+        ArrayList<Integer> list = new ArrayList<Integer>(writables.length);
+        for (Writable wrt : writables) {
+            list.add(((IntWritable)wrt).get());
+        }
+        return list;
+    }
+
+}

target/classes/application.properties

@@ -54,5 +54,5 @@ baseline.kalman.r=0.002
 # 每更新1000个记录打印log
 log.write.count=10000
 # FOR TEST
-generate.batch.size=100
+generate.batch.size=1