IP2Location™ LITE IP-COUNTRY Database

Einführung Eigenschaften Datenbankfelder Datenbank-Setup Beispieldatenbank AMI & Images SDK & Bibliotheken Kostenlose Tools/Plugins

Einführung

IP2Location LITE Database

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

Jetzt kostenlos anmelden

Eigenschaften

Übersetzt die IP-Adresse in ein Land.

Aktuelle Version	01 November, 2025
Nächste Aktualisierung	15 November, 2025
IPv4 Datenbankgröße	BIN: 2.53 MB CSV: 12.32 MB (265,536 Reihen) CIDR: 14.33 MB (361,322 Reihen) MMDB: 17.23 MB
IPv6 Datenbankgröße	BIN: 10.81 MB CSV: 55.11 MB (673,505 Reihen) CIDR: 124.31 MB (2,575,584 Reihen)
Array	Binär (BIN) ASCII-Textdatei (CSV) MMDB

Datenbankfelder

Name	Art	Beschreibung
ip_from	INT (10)^† / DECIMAL (39,0)^††	Erste IP-Adresse zeigt Netblock.
ip_to	INT (10)^† / DECIMAL (39,0)^††	Letzte IP-Adresse zeigt Netblock.
country_code	CHAR(2)	Zweistelliger Ländercode basierend auf ISO 3166.
country_name	VARCHAR(64)	Ländername basierend auf 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.

Datenbank erstellen

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;

Datenbank importieren

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;

Datenbank erstellen

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

Datenbank importieren

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

Datenbank erstellen

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)
);

Datenbank importieren

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

Datenbank importieren

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

Datenbank erstellen

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;

Datenbank importieren

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;

Datenbank erstellen

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

Datenbank importieren

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

Datenbank erstellen

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)
);

Datenbank importieren

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

Datenbank importieren

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

Beispieldatenbank

Nachfolgend finden Sie die Beispieldatenbank als Referenz.


"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"