IP2Location™ LITE IP-COUNTRY Database

Вступление Функции Поля базы данных Настройка базы данных Образец базы данных AMI и изображения SDK и библиотеки Бесплатные инструменты/плагины

Вступление

IP2Location LITE Database

 <a href="https://lite.ip2location.com" target="_blank">IP-геолокация</a>.

Зарегистрируйтесь бесплатно

Функции

Переводит IP-адрес в страну.

Текущая версия	01 November, 2025
Следующее обновление	15 November, 2025
IPv4 Размер базы данных	BIN: 2.53 MB CSV: 12.32 MB (265,536 Рядов) CIDR: 14.33 MB (361,322 Рядов) MMDB: 17.23 MB
IPv6 Размер базы данных	BIN: 10.81 MB CSV: 55.11 MB (673,505 Рядов) CIDR: 124.31 MB (2,575,584 Рядов)
Множество	Двоичный (BIN) Текстовый файл ASCII (CSV) MMDB

Поля базы данных

Имя	Тип	Описание
ip_from	INT (10)^† / DECIMAL (39,0)^††	Первый IP-адрес показывает сетевой блок.
ip_to	INT (10)^† / DECIMAL (39,0)^††	Последний IP-адрес показывает сетевой блок.
country_code	CHAR(2)	Двухсимвольный код страны на основе ISO 3166.
country_name	VARCHAR(64)	Название страны основано на ISO 3166.

^† IPv4
^†† IPv6
^††† Latitude and Longitude are often near the center of population. These values are not precise and should not be used to identify a particular address or household.

Настройка базы данных

Ниже приведены шаги по настройке базы данных для данных IPv4 и IPv6.

IPv4
IPv6

Создать базу данных

CREATE DATABASE ip2location;
USE ip2location;
CREATE TABLE `ip2location_db1`(
	`ip_from` INT(10) UNSIGNED,
	`ip_to` INT(10) UNSIGNED,
	`country_code` CHAR(2),
	`country_name` VARCHAR(64),
	PRIMARY KEY (`ip_to`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 COLLATE=utf8_bin;

Импортировать базу данных

LOAD DATA LOCAL
	INFILE 'IP2LOCATION-LITE-DB1.CSV'
INTO TABLE
	`ip2location_db1`
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n'
IGNORE 0 LINES;

Создать базу данных

CREATE DATABASE ip2location
GO

USE ip2location
GO

CREATE TABLE [ip2location].[dbo].[ip2location_db1](
	[ip_from] bigint NOT NULL,
	[ip_to] bigint NOT NULL,
	[country_code] nvarchar(2) NOT NULL,
	[country_name] nvarchar(64) NOT NULL
) ON [PRIMARY]
GO

CREATE CLUSTERED INDEX [ip_to] ON [ip2location].[dbo].[ip2location_db1]([ip_to]) ON [PRIMARY]
GO

Импортировать базу данных

BULK INSERT [ip2location].[dbo].[ip2location_db1]
FROM '{PATH TO IP2LOCATION-LITE-DB1.CSV}'
WITH
(
	FORMATFILE = '{PATH TO DB1.FMT}'
)
GO

SQL Server 2016
SQL Server 2016 SQL Server 2014 SQL Server 2012 Azure SQL SQL Server 2008/2008R2 SQL Server 2005 SQL Server 2000 SQL Server 7.0 SQL Server 6.5

12.0
5
1 SQLCHAR 0 1 "\"" 0 first_double_quote  Latin1_General_CI_AI
2 SQLCHAR 0 20 "\",\"" 1 ip_from "",
3 SQLCHAR 0 20 "\",\"" 2 ip_to "",
4 SQLCHAR 0 2 "\",\"" 3 country_code Latin1_General_CI_AI,
5 SQLCHAR 0 64 "\",\"" 4 country_name Latin1_General_CI_AI

Создать базу данных

CREATE DATABASE ip2location WITH ENCODING 'UTF8';
\c ip2location
CREATE TABLE ip2location_db1(
	ip_from bigint NOT NULL,
	ip_to bigint NOT NULL,
	country_code character(2) NOT NULL,
	country_name character varying(64) NOT NULL,
	CONSTRAINT ip2location_db1_pkey PRIMARY KEY (ip_from, ip_to)
);

Импортировать базу данных

COPY ip2location_db1 FROM 'IP2LOCATION-LITE-DB1.CSV' WITH CSV QUOTE AS '"';

Импортировать базу данных

mongoimport -u USERNAME -p PASSWORD --authenticationDatabase admin --drop --db ip2location --collection ip2location_db1 --type csv --file "IP2LOCATION-LITE-DB1.CSV" --fields ip_from,ip_to,country_code,country_name

Создать базу данных

CREATE DATABASE ip2location;
USE ip2location;
CREATE TABLE `ip2location_db1_ipv6`(
	`ip_from` DECIMAL(39,0) UNSIGNED,
	`ip_to` DECIMAL(39,0) UNSIGNED,
	`country_code` CHAR(2),
	`country_name` VARCHAR(64),
	PRIMARY KEY (`ip_to`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 COLLATE=utf8_bin;

Импортировать базу данных

LOAD DATA LOCAL
	INFILE 'IP2LOCATION-LITE-DB1.IPV6.CSV'
INTO TABLE
	`ip2location_db1_ipv6`
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n'
IGNORE 0 LINES;

Создать базу данных

CREATE DATABASE ip2location
GO

USE ip2location
GO

CREATE TABLE [ip2location].[dbo].[ip2location_db1_ipv6](
	[ip_from] char(39) NOT NULL,
	[ip_to] char(39) NOT NULL,
	[country_code] nvarchar(2) NOT NULL,
	[country_name] nvarchar(64) NOT NULL
) ON [PRIMARY]
GO

CREATE CLUSTERED INDEX [ip_to] ON [ip2location].[dbo].[ip2location_db1_ipv6]([ip_to]) ON [PRIMARY]
GO

Импортировать базу данных

BULK INSERT [ip2location].[dbo].[ip2location_db1_ipv6]
FROM '{PATH TO IP2LOCATION-LITE-DB1.IPV6.CSV}'
WITH
(
	FORMATFILE = '{PATH TO DB1.FMT}'
)
GO

SQL Server 2016
SQL Server 2016 SQL Server 2014 SQL Server 2012 Azure SQL SQL Server 2008/2008R2 SQL Server 2005 SQL Server 2000 SQL Server 7.0 SQL Server 6.5

12.0
5
1 SQLCHAR 0 1 "\"" 0 first_double_quote  Latin1_General_CI_AI
2 SQLCHAR 0 39 "\",\"" 1 ip_from "",
3 SQLCHAR 0 39 "\",\"" 2 ip_to "",
4 SQLCHAR 0 2 "\",\"" 3 country_code Latin1_General_CI_AI,
5 SQLCHAR 0 64 "\",\"" 4 country_name Latin1_General_CI_AI

Создать базу данных

CREATE DATABASE ip2location WITH ENCODING 'UTF8';
\c ip2location
CREATE TABLE ip2location_db1_ipv6(
	ip_from decimal(39,0) NOT NULL,
	ip_to decimal(39,0) NOT NULL,
	country_code character(2) NOT NULL,
	country_name character varying(64) NOT NULL,
	CONSTRAINT ip2location_db1_pkey PRIMARY KEY (ip_from, ip_to)
);

Импортировать базу данных

COPY ip2location_db1_ipv6 FROM 'IP2LOCATION-LITE-DB1.IPV6.CSV' WITH CSV QUOTE AS '"';

Импортировать базу данных

mongoimport -u USERNAME -p PASSWORD --authenticationDatabase admin --drop --db ip2location --collection ip2location_db1_ipv6 --type csv --file "IP2LOCATION-LITE-DB1.IPV6.CSV" --fields ip_from,ip_to,country_code,country_name

Образец базы данных

Ниже приведен образец базы данных для вашего ознакомления.


"ip_from","ip_to","country_code","country_name"
"0","16777215","-","-"
"16777216","16777471","AU","Australia"
"16777472","16778239","CN","China"
"16778240","16779263","AU","Australia"
"16779264","16781311","CN","China"
"16781312","16785407","JP","Japan"
"16785408","16793599","CN","China"
"16793600","16809983","JP","Japan"
"16809984","16842751","TH","Thailand"
"16842752","16843007","CN","China"
"16843008","16843263","AU","Australia"
"16843264","16859135","CN","China"
"16859136","16875519","JP","Japan"
"16875520","16908287","TH","Thailand"
"16908288","16909055","CN","China"
"16909056","16909311","AU","Australia"
"16909312","16941055","CN","China"
"16941056","16973823","TH","Thailand"
"16973824","17039359","CN","China"
"17039360","17039615","AU","Australia"
"17039616","17072127","CN","China"
"17072128","17104895","TH","Thailand"
"17104896","17170431","JP","Japan"
"17170432","17301503","IN","India"
"17301504","17367039","CN","China"
"17367040","17432575","MY","Malaysia"
"17432576","17435135","CN","China"
"17435136","17435391","IN","India"
"17435392","17465343","CN","China"
"17465344","17498111","TH","Thailand"
"17498112","17563647","KR","Korea (the Republic of)"
"17563648","17825791","CN","China"
"17825792","17842175","KR","Korea (the Republic of)"
"17842176","17986559","-","-"
"17986560","18087935","KR","Korea (the Republic of)"
"18087936","18153471","TH","Thailand"
"18153472","18210815","JP","Japan"
"18210816","18219007","SG","Singapore"
"18219008","18350079","IN","India"
"18350080","18874367","CN","China"
"18874368","18907135","MY","Malaysia"
"18907136","18923519","SG","Singapore"
"18923520","18925567","HK","Hong Kong"
"18925568","18926847","SG","Singapore"
"18926848","18927103","HK","Hong Kong"
"18927104","18927615","SG","Singapore"
"18927616","18929663","TW","Taiwan (Province of China)"
"18929664","18930175","KR","Korea (the Republic of)"
"18930176","18930687","HK","Hong Kong"
"18930688","18930943","TW","Taiwan (Province of China)"
"18930944","18931455","HK","Hong Kong"
"18931456","18933759","JP","Japan"
"18933760","18935807","US","United States of America"
"18935808","18938879","HK","Hong Kong"
"18938880","18939135","KH","Cambodia"
"18939136","18939903","HK","Hong Kong"
"18939904","19005439","JP","Japan"
"19005440","19136511","TW","Taiwan (Province of China)"
"19136512","19202047","HK","Hong Kong"
"19202048","19267583","PH","Philippines"
"19267584","19398655","IN","India"
"19398656","19726335","AU","Australia"
"19726336","19791871","CN","China"
"19791872","19922943","TH","Thailand"
"19922944","20185087","CN","China"
"20185088","20447231","VN","Viet Nam"
"20447232","20971519","CN","China"
"20971520","21102591","HK","Hong Kong"
"21102592","21233663","JP","Japan"
"21233664","21495807","CN","China"
"21495808","22020095","JP","Japan"
"22020096","23068671","CN","China"
"23068672","24117247","KR","Korea (the Republic of)"
"24117248","24379391","JP","Japan"
"24379392","24510463","CN","China"
"24510464","24518655","HK","Hong Kong"
"24518656","24519679","NL","Netherlands (Kingdom of the)"
"24519680","24575999","HK","Hong Kong"
"24576000","24641535","CN","China"
"24641536","27262975","AU","Australia"
"27262976","28311551","TW","Taiwan (Province of China)"
"28311552","28442623","KR","Korea (the Republic of)"
"28442624","28443135","US","United States of America"
"28443136","28443647","AU","Australia"
"28443648","28450815","US","United States of America"
"28450816","28454911","BR","Brazil"
"28454912","28459007","AR","Argentina"
"28459008","28459519","US","United States of America"
"28459520","28460031","AU","Australia"
"28460032","28463103","US","United States of America"
"28463104","28463359","AU","Australia"
"28463360","28463615","US","United States of America"
"28463616","28464639","AU","Australia"
"28464640","28467199","US","United States of America"
"28467200","28468223","AU","Australia"
"28468224","28471295","US","United States of America"
"28471296","28479487","PS","Palestine, State of"
"28479488","28487423","US","United States of America"
"28487424","28488703","AU","Australia"
"28488704","28495871","US","United States of America"
"28495872","28499967","PS","Palestine, State of"