IP2Location™ LITE IP-COUNTRY Database

introduction Caractéristiques Champs de base de données Configuration de la base de données Exemple de base de données AMI et images SDK et bibliothèques Outils/plugins gratuits

introduction

IP2Location LITE Database

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

Inscrivez-vous gratuitement

Caractéristiques

Traduit l'adresse IP en pays.

Version actuelle	01 November, 2025
Prochaine mise à jour	15 November, 2025
IPv4 Taille de la base de données	BIN: 2.53 MB CSV: 12.32 MB (265,536 Lignes) CIDR: 14.33 MB (361,322 Lignes) MMDB: 17.23 MB
IPv6 Taille de la base de données	BIN: 10.81 MB CSV: 55.11 MB (673,505 Lignes) CIDR: 124.31 MB (2,575,584 Lignes)
Déployer	Binaire (BIN) Fichier texte ASCII (CSV) MMDB

Champs de base de données

Nom	Taper	La description
ip_from	INT (10)^† / DECIMAL (39,0)^††	La première adresse IP montre netblock.
ip_to	INT (10)^† / DECIMAL (39,0)^††	La dernière adresse IP affiche netblock.
country_code	CHAR(2)	Code de pays à deux caractères basé sur la norme ISO 3166.
country_name	VARCHAR(64)	Nom du pays basé sur la norme 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.

Créer une base de données

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;

Importer la base de données

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;

Créer une base de données

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

Importer la base de données

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

Créer une base de données

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)
);

Importer la base de données

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

Importer la base de données

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

Créer une base de données

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;

Importer la base de données

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;

Créer une base de données

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

Importer la base de données

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

Créer une base de données

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)
);

Importer la base de données

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

Importer la base de données

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

Exemple de base de données


"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"