写入生成类型

4 files changed, 37 insertions, 13 deletions

diff --git a/src/main/java/cn/mesalab/config/ApplicationConfig.java b/src/main/java/cn/mesalab/config/ApplicationConfig.java
index 1f88024..2423656 100644
--- a/src/main/java/cn/mesalab/config/ApplicationConfig.java
+++ b/src/main/java/cn/mesalab/config/ApplicationConfig.java
@@ -23,6 +23,8 @@ public class ApplicationConfig {
     public static final String TIME_FORMAT = ConfigUtils.getStringProperty("time.format");
     public static final String BASELINE_METRIC_TYPE = ConfigUtils.getStringProperty("baseline.metric.type");
 
+    public static final String HBASE_BASELINE_GENERATION_TYPE_SUFFIX = ConfigUtils.getStringProperty("hbase.baseline.generation.type.suffix");
+
     public static final String DRUID_ATTACKTYPE_TCP_SYN_FLOOD = ConfigUtils.getStringProperty("druid.attacktype.tcpsynflood");
     public static final String DRUID_ATTACKTYPE_UDP_FLOOD = ConfigUtils.getStringProperty("druid.attacktype.udpflood");
     public static final String DRUID_ATTACKTYPE_ICMP_FLOOD = ConfigUtils.getStringProperty("druid.attacktype.icmpflood");
diff --git a/src/main/java/cn/mesalab/service/BaselineSingleThread.java b/src/main/java/cn/mesalab/service/BaselineSingleThread.java
index 99210a3..719f862 100644
--- a/src/main/java/cn/mesalab/service/BaselineSingleThread.java
+++ b/src/main/java/cn/mesalab/service/BaselineSingleThread.java
@@ -7,6 +7,8 @@ import cn.mesalab.utils.DruidUtils;
 import cn.mesalab.utils.HbaseUtils;
 import cn.mesalab.utils.RetryUtils;
 import cn.mesalab.utils.SeriesUtils;
+import io.vavr.Tuple;
+import io.vavr.Tuple2;
 import org.apache.calcite.avatica.AvaticaClientRuntimeException;
 import org.apache.calcite.avatica.AvaticaConnection;
 import org.apache.calcite.avatica.AvaticaStatement;
@@ -86,9 +88,15 @@ public class BaselineSingleThread extends Thread {
                 List<Map<String, Object>> ipDruidData = batchDruidData.get(ip).stream()
                         .filter(i -> i.get(ApplicationConfig.DRUID_ATTACKTYPE_COLUMN_NAME).equals(attackType)).collect(Collectors.toList());
                 // baseline生成
-                int[] ipBaseline = generateSingleIpBaseline(ip, ipDruidData);
-                if ((ipBaseline!= null ) && (ip.length()>0)){
-                   hbaseUtils.cachedInPut(putList, ip, ipBaseline, attackType, ApplicationConfig.BASELINE_METRIC_TYPE);
+                Tuple2<int[], Integer> tuple = generateSingleIpBaseline(ip, ipDruidData);
+                if(tuple!=null){
+                    int[] ipBaseline = tuple._1;
+                    int generateType = tuple._2;
+                    if ((ipBaseline!= null ) && (ip.length()>0)){
+                        hbaseUtils.cachedInPut(putList, ip, ipBaseline, attackType, ApplicationConfig.BASELINE_METRIC_TYPE);
+                        hbaseUtils.cachedInPut(putList, ip, generateType, attackType,
+                                ApplicationConfig.BASELINE_METRIC_TYPE + "_" + ApplicationConfig.HBASE_BASELINE_GENERATION_TYPE_SUFFIX);
+                    }
                 }
             }
         }
@@ -119,24 +127,36 @@ public class BaselineSingleThread extends Thread {
     }
 
     /**
-     * 单ip baseline生成逻辑
+     *
      * @return baseline序列，长度为 60/HISTORICAL_GRAD*24
      */
-    private int[] generateSingleIpBaseline(String ip, List<Map<String, Object>> ipDruidData){
+    /**
+     * 单ip baseline生成逻辑
+     * @param ip
+     * @param ipDruidData
+     * @return baseline序列，长度为 60/HISTORICAL_GRAD*24;
+     *         baselineGenerationType:
+     *          1: 高频IP
+     *          2: 低频有周期IP
+     *          3：其他类型IP, 采用百分位阈值基线
+     */
+    private Tuple2<int[], Integer> generateSingleIpBaseline(String ip, List<Map<String, Object>> ipDruidData){
         if (ipDruidData.size()==0){
             return null;
         }
 
+        int baselineGenerationType = 0;
+        int[] baselineArr = new int[baselinePointNum];
+
         // 时间序列缺失值补0
         List<Map<String, Object>> completSeries = SeriesUtils.complementSeries(ipDruidData);
-
-        int[] baselineArr = new int[baselinePointNum];
         List<Integer>series = completSeries.stream().map(
                 i -> Integer.valueOf(i.get(ApplicationConfig.BASELINE_METRIC_TYPE).toString())).collect(Collectors.toList());
 
         // 判断ip出现频率
         if(ipDruidData.size()/(float)completSeries.size()>ApplicationConfig.BASELINE_HISTORICAL_FREQUENCY_THREAD){
             // 异常值剔除
+            baselineGenerationType = 1;
             double exceptionPercentile = SeriesUtils.percentile(series, ApplicationConfig.BASELINE_EXECEPTION_PERCENTILE);
             double exceptionFillPercentile = SeriesUtils.percentile(series, ApplicationConfig.BASELINE_EXCECPTION_FILL_PERCENTILE);
             for(int i=0; i<series.size(); i++){
@@ -146,25 +166,24 @@ public class BaselineSingleThread extends Thread {
             }
             // KF
             baselineArr = baselineFunction(series);
-            // System.out.println("高频IP:" + ip + " origin:" + series + "\n baseline:" + Arrays.toString(baselineArr));
         } else {
             // 判断周期性
             if (SeriesUtils.isPeriod(series)){
+                baselineGenerationType = 2;
                 // KF
                 baselineArr = baselineFunction(series);
-                // System.out.println("低频周期IP:" + ip + " origin:" + series + "\n baseline:" + Arrays.toString(baselineArr));
             } else {
+                baselineGenerationType = 3;
                 // 百分位数
                 int ipPercentile = SeriesUtils.percentile(
                         ipDruidData.stream().map(i ->
                                 Integer.valueOf(i.get(ApplicationConfig.BASELINE_METRIC_TYPE).toString())).collect(Collectors.toList()),
                         ApplicationConfig.BASELINE_RATIONAL_PERCENTILE);
                 Arrays.fill(baselineArr, ipPercentile);
-                // System.out.println("其他IP:" + ip + " origin:" + series + "\n baseline:" + Arrays.toString(baselineArr));
             }
         }
 
-        return baselineArr;
+        return new Tuple2<>(baselineArr, baselineGenerationType);
     }
 
     /**
diff --git a/src/main/java/cn/mesalab/utils/HbaseUtils.java b/src/main/java/cn/mesalab/utils/HbaseUtils.java
index a2657b7..28dfcf3 100644
--- a/src/main/java/cn/mesalab/utils/HbaseUtils.java
+++ b/src/main/java/cn/mesalab/utils/HbaseUtils.java
@@ -1 +1 @@
-package cn.mesalab.utils;

import cn.mesalab.config.ApplicationConfig;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.HConstants;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.ConnectionFactory;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Table;
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 org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.io.IOException;
import java.util.ArrayList;
import java.util.List;

/**
 * @author yjy
 * @version 1.0
 * @date 2021/7/23 4:56 下午
 */
public class HbaseUtils {

    private static final Logger LOG = LoggerFactory.getLogger(HbaseUtils.class);
    private static HbaseUtils hbaseUtils;
    private Table hbaseTable;

    static {
        hbaseUtils = HbaseUtils.getInstance();
    }

    public static HbaseUtils getInstance(){
        if (hbaseUtils == null) {
            hbaseUtils = new HbaseUtils();
        }
        return hbaseUtils;
    }

    public Table getHbaseTable(){
        if(hbaseTable == null){
            try{
                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);
                hbaseTable = conn.getTable(tableName);
            } catch (IOException e){
                LOG.error("HBase 创建HBase table失败！");
                e.printStackTrace();
            }
        }
        return hbaseTable;
    }

    public List<Put> cachedInPut(List<Put> putList, String ip, int[] baseline, String attackType, String metricType){
        Put rowPut = new Put(Bytes.toBytes(ip));

        rowPut.addColumn(
                Bytes.toBytes(attackType),
                Bytes.toBytes(metricType),
                WritableUtils.toByteArray(toWritable(baseline)));
        putList.add(rowPut);
        return putList;
    }

    private 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 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;
    }

    public void close(){
        try {
            hbaseTable.close();
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
}
\ No newline at end of file
+package cn.mesalab.utils;

import cn.mesalab.config.ApplicationConfig;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.HConstants;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.ConnectionFactory;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Table;
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 org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.io.IOException;
import java.util.ArrayList;
import java.util.List;

/**
 * @author yjy
 * @version 1.0
 * @date 2021/7/23 4:56 下午
 */
public class HbaseUtils {

    private static final Logger LOG = LoggerFactory.getLogger(HbaseUtils.class);
    private static HbaseUtils hbaseUtils;
    private Table hbaseTable;

    static {
        hbaseUtils = HbaseUtils.getInstance();
    }

    public static HbaseUtils getInstance(){
        if (hbaseUtils == null) {
            hbaseUtils = new HbaseUtils();
        }
        return hbaseUtils;
    }

    public Table getHbaseTable(){
        if(hbaseTable == null){
            try{
                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);
                hbaseTable = conn.getTable(tableName);
            } catch (IOException e){
                LOG.error("HBase 创建HBase table失败！");
                e.printStackTrace();
            }
        }
        return hbaseTable;
    }

    public List<Put> cachedInPut(List<Put> putList, String ip, int[] baseline, String attackType, String metricType){
        Put rowPut = new Put(Bytes.toBytes(ip));

        rowPut.addColumn(
                Bytes.toBytes(attackType),
                Bytes.toBytes(metricType),
                WritableUtils.toByteArray(toWritable(baseline)));
        putList.add(rowPut);
        return putList;
    }

    public List<Put> cachedInPut(List<Put> putList, String ip, int generateType, String attackType, String columnName){
        Put rowPut = new Put(Bytes.toBytes(ip));

        rowPut.addColumn(
                Bytes.toBytes(attackType),
                Bytes.toBytes(columnName),
                Bytes.toBytes(generateType));
        putList.add(rowPut);
        return putList;
    }


    private 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 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;
    }

    public void close(){
        try {
            hbaseTable.close();
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
}
\ No newline at end of file
diff --git a/src/main/resources/application.properties b/src/main/resources/application.properties
index 5b0242b..52026dc 100644
--- a/src/main/resources/application.properties
+++ b/src/main/resources/application.properties
@@ -23,7 +23,7 @@ read.druid.min.time=1625414400000
 #07-08
 read.druid.max.time=1625673600000
 
-#字段映射
+#Druid字段映射
 druid.attacktype.tcpsynflood=TCP SYN Flood
 druid.attacktype.udpflood=UDP Flood
 druid.attacktype.icmpflood=ICMP Flood
@@ -34,6 +34,9 @@ druid.columnname.recvtime=__time
 druid.columnname.partition.num=partition_num
 baseline.metric.type=session_rate
 
+#Hbase字段映射
+hbase.baseline.generation.type.suffix=baseline_type
+
 #数据情况
 #读取历史N天数据，最小值为3天（需要判断周期性）
 read.historical.days=3