重庆分公司,新征程启航
为企业提供网站建设、域名注册、服务器等服务
这篇文章将为大家详细讲解有关hive UDF如何通过IP地址获取 IDC/省份/城市,小编觉得挺实用的,因此分享给大家做个参考,希望大家阅读完这篇文章后可以有所收获。
让客户满意是我们工作的目标,不断超越客户的期望值来自于我们对这个行业的热爱。我们立志把好的技术通过有效、简单的方式提供给客户,将通过不懈努力成为客户在信息化领域值得信任、有价值的长期合作伙伴,公司提供的服务项目有:国际域名空间、网站空间、营销软件、网站建设、贡嘎网站维护、网站推广。
简述:
简单的2分查找算法,根据IP地址定位IP所属的IP段,然后获取IP段的IDC/省份/城市的信息。
输入:IP地理信息文件,一般地址库拿到后需要格式化一下,参考:
1. 如果省份是null 或者 '' ,city是null或者'' =》 省份=其他 and 城市=其他
2. 省份非空且为直辖市,但是城市非直辖市 = 》 城市=直辖市
3. 省份非空且非直辖市,但是城市为空 =》城市=其他
4. 省份或城市中有(、\等非法信息 = 》 省份=其他 and 城市=其他
/user/hadoop/IP.csv
格式:
编号,开始IP(long),结束IP(long),省份,城市,IDC,开始IP,结束IP 29990,16777472,16778239,福建省,其他,电信,1.0.1.0,1.0.3.255 29991,16779264,16781311,广东省,其他,电信,1.0.8.0,1.0.15.255 29992,16785408,16793599,广东省,其他,电信,1.0.32.0,1.0.63.255
用法 & 输出:
编辑打包或者编译到hive中参考这篇,这里不在多说:http://my.oschina.net/wangjiankui/blog/64230
get_ip_location_new(visitip,'IDC') //返回IDC信息
get_ip_location_new(visitip,'REGION') //返回省份信息
get_ip_location_new(visitip,'CITY') //返回城市信息
代码:
package com.xxx.hive.udf; import java.io.BufferedReader; import java.io.IOException; import java.io.InputStreamReader; import java.net.URI; import java.util.ArrayList; import java.util.HashMap; import java.util.List; import java.util.Map; import java.util.StringTokenizer; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.FSDataInputStream; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.apache.hadoop.hive.ql.exec.UDF; import org.apache.hadoop.io.IOUtils; import org.apache.hadoop.io.Text; public class UDFGetIPLocationNew extends UDF { public static Listmap = new ArrayList(); public static long[] start_from_index; public static long[] end_to_index; public static Map idcCache = new HashMap(); public static Map regionCache = new HashMap(); public static Map cityCache = new HashMap(); private void LoadIPLocation() { Configuration conf = new Configuration(); String namenode = conf.get("fs.default.name"); String uri = namenode + "/user/hadoop/IP.csv"; FileSystem fs = null; FSDataInputStream in = null; BufferedReader d = null; try { fs = FileSystem.get(URI.create(uri), conf); in = fs.open(new Path(uri)); d = new BufferedReader(new InputStreamReader(in)); String s = null; while (true) { s = d.readLine(); if (s == null) { break; } map.add(s); } } catch (IOException e) { e.printStackTrace(); } finally { IOUtils.closeStream(in); } } public static int binarySearch(long[] start, long[] end, long ip) { int low = 0; int high = start.length - 1; while (low <= high) { int middle = (low + high) / 2; if ((ip >= start[middle]) && (ip <= end[middle])) return middle; if (ip < start[middle]) high = middle - 1; else { low = middle + 1; } } return -1; } public static long ip2long(String ip) { if (ip.matches("\\d{1,3}\\.\\d{1,3}\\.\\d{1,3}\\.\\d{1,3}")) { String[] ips = ip.split("[.]"); long ipNum = 0L; if (ips == null) { return 0L; } for (int i = 0; i < ips.length; i++) { ipNum = ipNum << 8 | Long.parseLong(ips[i]); } return ipNum; } return 0L; } public String evaluate(Text ip, Text which) { long ipLong = ip2long(ip.toString()); String whichString = which.toString(); if ((!whichString.equals("IDC")) && (!whichString.equals("REGION")) && (!whichString.equals("CITY"))) { return "Unknown Args!use(IDC or REGION or CITY)"; } if (map.size() == 0) { LoadIPLocation(); start_from_index = new long[map.size()]; end_to_index = new long[map.size()]; for (int i = 0; i < map.size(); i++) { StringTokenizer token = new StringTokenizer((String)map.get(i), ","); token.nextToken(); start_from_index[i] = Long.parseLong(token.nextToken()); end_to_index[i] = Long.parseLong(token.nextToken()); } } int ipindex = 0; if (((whichString.equals("IDC")) && (!idcCache.containsKey(Long.valueOf(ipLong)))) || ((whichString.equals("REGION")) && (!regionCache.containsKey(Long.valueOf(ipLong)))) || ((whichString.equals("CITY")) && (!cityCache.containsKey(Long.valueOf(ipLong))))) { ipindex = binarySearch(start_from_index, end_to_index, ipLong); } if (ipindex == 0) { if (whichString.equals("IDC")) return (String)idcCache.get(Long.valueOf(ipLong)); if (whichString.equals("REGION")) return (String)regionCache.get(Long.valueOf(ipLong)); if (whichString.equals("CITY")) { return (String)cityCache.get(Long.valueOf(ipLong)); } return "Error"; } if (ipindex == -1) { return "Other IDC"; } String[] location = ((String)map.get(ipindex)).split(","); if (whichString.equals("IDC")) { idcCache.put(Long.valueOf(ipLong), location[5]); return location[5]; }if (whichString.equals("REGION")) { regionCache.put(Long.valueOf(ipLong), location[3]); return location[3]; }if (whichString.equals("CITY")) { cityCache.put(Long.valueOf(ipLong), location[4]); return location[4]; } return "Error"; } public static void main(String[] args) { long startTime = System.currentTimeMillis(); System.out.println("now:" + startTime); UDFGetIPLocationNew getIPLocation = new UDFGetIPLocationNew(); Text ip = new Text("112.122.64.0"); System.out.printf("ip = %s, %s, %s, %s\n", new Object[] { ip, getIPLocation.evaluate(ip, new Text("IDC")), getIPLocation.evaluate(ip, new Text("REGION")), getIPLocation.evaluate(ip, new Text("CITY")) }); long endTime = System.currentTimeMillis(); System.out.println("over:" + endTime); System.out.println("count:" + (endTime - startTime) * 1.0D / 1000.0D); } }
关于“hive UDF如何通过IP地址获取 IDC/省份/城市”这篇文章就分享到这里了,希望以上内容可以对大家有一定的帮助,使各位可以学到更多知识,如果觉得文章不错,请把它分享出去让更多的人看到。