124 lines
5.3 KiB
Java
124 lines
5.3 KiB
Java
package com.zdjizhi.utils;
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import com.zdjizhi.common.CommonConfig;
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import org.apache.flink.api.java.tuple.Tuple2;
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import org.apache.hadoop.hbase.HBaseConfiguration;
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import org.apache.hadoop.hbase.HConstants;
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import org.apache.hadoop.hbase.TableName;
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import org.apache.hadoop.hbase.client.*;
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import org.apache.hadoop.hbase.util.Bytes;
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import org.apache.hadoop.io.ArrayWritable;
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import org.apache.hadoop.io.IntWritable;
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import org.apache.hadoop.io.Writable;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import java.io.ByteArrayInputStream;
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import java.io.DataInputStream;
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import java.io.IOException;
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import java.util.*;
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/**
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* @author wlh
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*/
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public class HbaseUtils {
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private static final Logger logger = LoggerFactory.getLogger(HbaseUtils.class);
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private static Table table = null;
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private static Scan scan = null;
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private static ArrayList<String> floodTypeList = new ArrayList<>();
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static {
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floodTypeList.add("TCP SYN Flood");
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floodTypeList.add("UDP Flood");
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floodTypeList.add("ICMP Flood");
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floodTypeList.add("DNS Amplification");
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}
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private static void prepareHbaseEnv() throws IOException {
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org.apache.hadoop.conf.Configuration config = HBaseConfiguration.create();
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config.set("hbase.zookeeper.quorum", CommonConfig.HBASE_ZOOKEEPER_QUORUM);
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config.set("hbase.client.retries.number", "3");
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config.set("hbase.bulkload.retries.number", "3");
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config.set("zookeeper.recovery.retry", "3");
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config.setInt(HConstants.HBASE_CLIENT_OPERATION_TIMEOUT, CommonConfig.HBASE_CLIENT_OPERATION_TIMEOUT);
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config.setInt(HConstants.HBASE_CLIENT_SCANNER_TIMEOUT_PERIOD, CommonConfig.HBASE_CLIENT_SCANNER_TIMEOUT_PERIOD);
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TableName tableName = TableName.valueOf(CommonConfig.HBASE_BASELINE_TABLE_NAME);
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Connection conn = ConnectionFactory.createConnection(config);
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table = conn.getTable(tableName);
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scan = new Scan().setAllowPartialResults(true).setLimit(CommonConfig.HBASE_BASELINE_TOTAL_NUM);
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logger.info("连接hbase成功，正在读取baseline数据");
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}
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public static void main(String[] args) {
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Map<String, Map<String, Tuple2<ArrayList<Integer>, Integer>>> baselineMap = readFromHbase();
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Set<String> keySet = baselineMap.keySet();
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for (String key : keySet) {
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Map<String, Tuple2<ArrayList<Integer>, Integer>> stringTuple2Map = baselineMap.get(key);
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Set<String> strings = stringTuple2Map.keySet();
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for (String s:strings){
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Tuple2<ArrayList<Integer>, Integer> arrayListIntegerTuple2 = stringTuple2Map.get(s);
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System.out.println(key+"---"+s+"---"+arrayListIntegerTuple2.f0+"---"+arrayListIntegerTuple2.f1);
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}
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}
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System.out.println(baselineMap.size());
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}
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public static Map<String, Map<String, Tuple2<ArrayList<Integer>, Integer>>> readFromHbase() {
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Map<String, Map<String, Tuple2<ArrayList<Integer>, Integer>>> baselineMap = new HashMap<>();
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try {
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prepareHbaseEnv();
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logger.info("开始读取baseline数据");
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ResultScanner rs = table.getScanner(scan);
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for (Result result : rs) {
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Map<String, Tuple2<ArrayList<Integer>, Integer>> floodTypeMap = new HashMap<>();
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String rowkey = Bytes.toString(result.getRow());
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for (String type:floodTypeList){
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ArrayList<Integer> sessionRate = getArraylist(result, type, "session_rate");
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if (sessionRate != null && !sessionRate.isEmpty()){
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Integer defaultValue = getDefaultValue(result, type, "session_rate_default_value");
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floodTypeMap.put(type,Tuple2.of(sessionRate, defaultValue));
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}
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}
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baselineMap.put(rowkey, floodTypeMap);
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}
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logger.info("格式化baseline数据成功，读取IP共：{}", baselineMap.size());
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} catch (Exception e) {
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logger.error("读取hbase数据失败", e);
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}
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return baselineMap;
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}
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private static Integer getDefaultValue(Result result, String family, String qualifier) {
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byte[] value = result.getValue(Bytes.toBytes(family), Bytes.toBytes(qualifier));
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if (value != null){
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return Bytes.toInt(value);
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}
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return 1;
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}
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private static ArrayList<Integer> getArraylist(Result result, String family, String qualifier) throws IOException {
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if (containsColumn(result, family, qualifier)) {
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ArrayWritable w = new ArrayWritable(IntWritable.class);
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w.readFields(new DataInputStream(new ByteArrayInputStream(result.getValue(Bytes.toBytes(family), Bytes.toBytes(qualifier)))));
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return fromWritable(w);
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}
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return null;
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}
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private static ArrayList<Integer> fromWritable(ArrayWritable writable) {
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Writable[] writables = writable.get();
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ArrayList<Integer> list = new ArrayList<>(writables.length);
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for (Writable wrt : writables) {
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list.add(((IntWritable) wrt).get());
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}
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return list;
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}
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private static boolean containsColumn(Result result, String family, String qualifier) {
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return result.containsColumn(Bytes.toBytes(family), Bytes.toBytes(qualifier));
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}
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}
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