Table of Contents
1. 99.9%准确率,不定时更新:
2. 标准化的数据格式:
3. 体积小:
4. 多查询客户端的支持,0.0x毫秒级别的查询
6. 联系作者:
Home Backend Development PHP Tutorial Git 项目推荐 | ip 地址映射库

Git 项目推荐 | ip 地址映射库

Jun 23, 2016 pm 01:10 PM

ip2region - ip到地区的映射库,妈妈再也不用担心我的ip定位。

1. 99.9%准确率,不定时更新:

数据聚合了一些知名ip到地名查询提供商的数据,这些是他们官方的的准确率,经测试着实比纯真啥的准确多了。每次聚合一下数据需要1-2天,会不定时更新。

2. 标准化的数据格式:

每条ip数据段都固定了格式:_城市Id|国家|区域|省份|城市|ISP_

只有中国的数据精确到了城市,其他国家只能定位到国家,后前的选项全部是0,已经包含了全部你能查到的大大小小的国家。

(请忽略前面的城市Id,个人项目需求)

3. 体积小:

生成的数据库文件ip2region.db只有3.5M

4. 多查询客户端的支持,0.0x毫秒级别的查询

已经集成的客户端有:java, php, c, python,php扩展(目前只支持linux)。

提供了两种查询算法,响应时间如下:客户端/binary算法/b-tree算法:java/0.x毫秒/0.x毫秒 (使用RandomAccessFile)php/0.x毫秒/0.1x毫秒c/0.0x毫秒/0.0x毫秒(b-tree算法基本稳定在0.02x毫秒级别)python/0.x毫秒/0.1x毫秒
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任何客户端b-tree都比binary算法快

5. 测试程序:java:

cd binding/java    ant all    java -jar ip2region-{version}.jar ./data/ip2region.db
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php:

php binding/php/testSearcher ./data/ip2region.db
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c:

cd binding/c/    gcc -g -O2 testSearcher.c ip2region.c    ./a.out ../../data/ip2region.db
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python:

python binding/python/testSearcher ./data/ip2region.db
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均会看到如下界面:

initializing  B-tree ... +----------------------------------+| ip2region test script            || Author: chenxin619315@gmail.com  || Type 'quit' to exit program      |+----------------------------------+p2region>> 101.105.35.572163|中国|华南|广东省|深圳市|鹏博士 in 0.02295 millseconds
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输入ip地址开始测试,第一次会稍微有点慢,在运行命令后面接入binary来尝试binary算法,建议使用b-tree算法。

具体集成请参考不同客户端的测试源码。

6. 联系作者:

狮子的魂: chenxin619315@gmail.com

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