IP2Location™ LITE IP-COUNTRY-REGION-CITY-LATITUDE-LONGITUDE Database

Úvod Funkce Pole databáze Nastavení databáze Ukázková databáze AMI a obrázky SDK a knihovny Bezplatné nástroje/pluginy

Úvod

IP2Location LITE Database

Tato databáze poskytuje řešení pro určení země, regionu nebo státu, města, zeměpisné šířky a délky původu pro libovolnou adresu IP v několika jednoduchých krocích. Nejprve načtěte adresu IP ze síťového protokolu nebo proměnné na serveru na webovém serveru. Dále přeložit adresu IP na číslo IP v desítkovém formátu, aby se urychlil databázový dotaz. Nakonec zpětné vyhledání čísla IP z databáze IP2Location ™, abyste přesně určili přesnou geografickou polohu.

Je zdarma pro osobní nebo komerční použití s ​​uvedením zdroje požadovaným uvedením použití těchto údajů následujícím způsobem,

Pokud hledáte vysokou přesnost dat, více záznamů a zákaznickou podporu, pořiďte si komerční vydání . Navštivte prosím stránku porovnání produktů pro více informací.

Pojďme prozkoumat tuto databázi, která nyní poskytuje cenný zdroj geolokačních dat zdarma!

Zaregistrujte se zdarma

Funkce

Přeloží IP adresu do země, regionu nebo státu, města, zeměpisné šířky a délky.

Současná verze 01 July, 2025
Další aktualizace 15 July, 2025
IPv4 Velikost databáze BIN: 67.45 MB
CSV: 271.68 MB (2,890,226 Řádky)
CIDR: 315.05 MB (3,743,775 Řádky)
IPv6 Velikost databáze BIN: 160.07 MB
CSV: 696.12 MB (5,569,193 Řádky)
CIDR: 1.03 GB (11,434,688 Řádky)
Pole Binární (BIN)
Textový soubor ASCII (CSV)

Pole databáze

název Typ Popis
ip_from INT (10)† / DECIMAL (39,0)†† První IP adresa ukazuje netblock.
ip_to INT (10)† / DECIMAL (39,0)†† Poslední IP adresa ukazuje netblock.
country_code CHAR(2) Dvoumístný kód země podle ISO 3166.
country_name VARCHAR(64) Název země podle ISO 3166.
region_name VARCHAR(128) Název regionu nebo státu.
city_name VARCHAR(128) Jméno města.
latitude DOUBLE††† Zeměpisná šířka. Výchozí zeměpisná šířka hlavního města, pokud město není známé.
longitude DOUBLE††† Zeměpisná délka. Výchozí hodnota je zeměpisná délka hlavního města, pokud je město neznámé.

† 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.

Nastavení databáze

Níže jsou uvedeny kroky k nastavení databáze pro data IPv4 i IPv6.

Vytvořit databázi
CREATE DATABASE ip2location;
USE ip2location;
CREATE TABLE `ip2location_db5`(
	`ip_from` INT(10) UNSIGNED,
	`ip_to` INT(10) UNSIGNED,
	`country_code` CHAR(2),
	`country_name` VARCHAR(64),
	`region_name` VARCHAR(128),
	`city_name` VARCHAR(128),
	`latitude` DOUBLE,
	`longitude` DOUBLE,
	PRIMARY KEY (`ip_to`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
Import databáze
LOAD DATA LOCAL
	INFILE 'IP2LOCATION-LITE-DB5.CSV'
INTO TABLE
	`ip2location_db5`
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n'
IGNORE 0 LINES;
Vytvořit databázi
CREATE DATABASE ip2location
GO

USE ip2location
GO

CREATE TABLE [ip2location].[dbo].[ip2location_db5](
	[ip_from] bigint NOT NULL,
	[ip_to] bigint NOT NULL,
	[country_code] nvarchar(2) NOT NULL,
	[country_name] nvarchar(64) NOT NULL,
	[region_name] nvarchar(128) NOT NULL,
	[city_name] nvarchar(128) NOT NULL,
	[latitude] float NOT NULL,
	[longitude] float NOT NULL
) ON [PRIMARY]
GO

CREATE CLUSTERED INDEX [ip_to] ON [ip2location].[dbo].[ip2location_db5]([ip_to]) ON [PRIMARY]
GO
Import databáze
BULK INSERT [ip2location].[dbo].[ip2location_db5]
FROM '{PATH TO IP2LOCATION-LITE-DB5.CSV}'
WITH
(
	FORMATFILE = '{PATH TO DB5.FMT}'
)
GO

POZNÁMKA: Níže budete muset zkopírovat kód FMT a uložit jej jako soubor s názvemDB5.FMT ve vašem počítači. 

12.0
9
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,
6 SQLCHAR 0 128 "\",\"" 5 region_name Latin1_General_CI_AI,
7 SQLCHAR 0 128 "\",\"" 6 city_name Latin1_General_CI_AI,
8 SQLCHAR 0 20 "\",\"" 7 latitude "",
9 SQLCHAR 0 20 "\",\"" 8 longitude ""

Vytvořit databázi
CREATE DATABASE ip2location WITH ENCODING 'UTF8';
\c ip2location
CREATE TABLE ip2location_db5(
	ip_from bigint NOT NULL,
	ip_to bigint NOT NULL,
	country_code character(2) NOT NULL,
	country_name character varying(64) NOT NULL,
	region_name character varying(128) NOT NULL,
	city_name character varying(128) NOT NULL,
	latitude real NOT NULL,
	longitude real NOT NULL,
	CONSTRAINT ip2location_db1_pkey PRIMARY KEY (ip_from, ip_to)
);
Import databáze
COPY ip2location_db5 FROM 'IP2LOCATION-LITE-DB5.CSV' WITH CSV QUOTE AS '"';
Import databáze
mongoimport -u USERNAME -p PASSWORD --authenticationDatabase admin --drop --db ip2location --collection ip2location_db5 --type csv --file "IP2LOCATION-LITE-DB5.CSV" --fields ip_from,ip_to,country_code,country_name,region_name,city_name,latitude,longitude
Vytvořit databázi
CREATE DATABASE ip2location;
USE ip2location;
CREATE TABLE `ip2location_db5_ipv6`(
	`ip_from` DECIMAL(39,0) UNSIGNED,
	`ip_to` DECIMAL(39,0) UNSIGNED,
	`country_code` CHAR(2),
	`country_name` VARCHAR(64),
	`region_name` VARCHAR(128),
	`city_name` VARCHAR(128),
	`latitude` DOUBLE,
	`longitude` DOUBLE,
	PRIMARY KEY (`ip_to`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
Import databáze
LOAD DATA LOCAL
	INFILE 'IP2LOCATION-LITE-DB5.IPV6.CSV'
INTO TABLE
	`ip2location_db5_ipv6`
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n'
IGNORE 0 LINES;
Vytvořit databázi
CREATE DATABASE ip2location
GO

USE ip2location
GO

CREATE TABLE [ip2location].[dbo].[ip2location_db5_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,
	[region_name] nvarchar(128) NOT NULL,
	[city_name] nvarchar(128) NOT NULL,
	[latitude] float NOT NULL,
	[longitude] float NOT NULL
) ON [PRIMARY]
GO

CREATE CLUSTERED INDEX [ip_to] ON [ip2location].[dbo].[ip2location_db5_ipv6]([ip_to]) ON [PRIMARY]
GO
Import databáze
BULK INSERT [ip2location].[dbo].[ip2location_db5_ipv6]
FROM '{PATH TO IP2LOCATION-LITE-DB5.IPV6.CSV}'
WITH
(
	FORMATFILE = '{PATH TO DB5.FMT}'
)
GO

POZNÁMKA: Níže budete muset zkopírovat kód FMT a uložit jej jako soubor s názvemDB5.FMT ve vašem počítači. První řádek kódu FMT označuje verzi bcp. Změňte prosím verzi podle nainstalovaného MS-SQL. 

12.0
9
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,
6 SQLCHAR 0 128 "\",\"" 5 region_name Latin1_General_CI_AI,
7 SQLCHAR 0 128 "\",\"" 6 city_name Latin1_General_CI_AI,
8 SQLCHAR 0 20 "\",\"" 7 latitude "",
9 SQLCHAR 0 20 "\",\"" 8 longitude ""

Vytvořit databázi
CREATE DATABASE ip2location WITH ENCODING 'UTF8';
\c ip2location
CREATE TABLE ip2location_db5_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,
	region_name character varying(128) NOT NULL,
	city_name character varying(128) NOT NULL,
	latitude real NOT NULL,
	longitude real NOT NULL,
	CONSTRAINT ip2location_db1_pkey PRIMARY KEY (ip_from, ip_to)
);
Import databáze
COPY ip2location_db5_ipv6 FROM 'IP2LOCATION-LITE-DB5.IPV6.CSV' WITH CSV QUOTE AS '"';
Import databáze
mongoimport -u USERNAME -p PASSWORD --authenticationDatabase admin --drop --db ip2location --collection ip2location_db5_ipv6 --type csv --file "IP2LOCATION-LITE-DB5.IPV6.CSV" --fields ip_from,ip_to,country_code,country_name,region_name,city_name,latitude,longitude

Ukázková databáze

Níže je ukázková databáze pro vaše reference. 


"ip_from","ip_to","country_code","country_name","region_name","city_name","latitude","longitude"
"0","16777215","-","-","-","-","0.000000","0.000000"
"16777216","16777471","AU","Australia","Queensland","Brisbane","-27.467540","153.028090"
"16777472","16778239","CN","China","Fujian","Fuzhou","26.061390","119.306110"
"16778240","16778495","AU","Australia","Victoria","Melbourne","-37.814007","144.963171"
"16778496","16778751","AU","Australia","Queensland","Warren","-23.500000","150.283330"
"16778752","16779007","AU","Australia","Victoria","Melbourne","-37.814007","144.963171"
"16779008","16779263","AU","Australia","Queensland","Warren","-23.500000","150.283330"
"16779264","16781311","CN","China","Guangdong","Guangzhou","23.127361","113.264570"
"16781312","16785407","JP","Japan","Tokyo","Tokyo","35.689497","139.692317"
"16785408","16793599","CN","China","Guangdong","Guangzhou","23.127361","113.264570"
"16793600","16794367","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433"
"16794368","16794623","JP","Japan","Hiroshima","Nuno","34.533330","132.400000"
"16794624","16794879","JP","Japan","Miyagi","Sendai","38.266990","140.867133"
"16794880","16795647","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433"
"16795648","16795903","JP","Japan","Hiroshima","Niho","34.369940","132.493950"
"16795904","16797695","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433"
"16797696","16797951","JP","Japan","Shimane","Izumo","35.367000","132.767000"
"16797952","16798207","JP","Japan","Yamaguchi","Yamaguchi","34.183000","131.467000"
"16798208","16798463","JP","Japan","Shimane","Matsue","35.467000","133.050000"
"16798464","16798719","JP","Japan","Tottori","Kurayoshi","35.433000","133.817000"
"16798720","16798975","JP","Japan","Tottori","Tottori","35.500111","134.232839"
"16798976","16799231","JP","Japan","Shimane","Matsue","35.467000","133.050000"
"16799232","16799487","JP","Japan","Tottori","Tottori","35.500111","134.232839"
"16799488","16799999","JP","Japan","Yamaguchi","Yamaguchi","34.183000","131.467000"
"16800000","16800255","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433"
"16800256","16800511","JP","Japan","Tottori","Tottori","35.500111","134.232839"
"16800512","16800767","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433"
"16800768","16801023","JP","Japan","Tottori","Yonago","35.432738","133.333399"
"16801024","16801279","JP","Japan","Tottori","Tottori","35.500111","134.232839"
"16801280","16801535","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433"
"16801536","16801791","JP","Japan","Tottori","Kurayoshi","35.433000","133.817000"
"16801792","16802047","JP","Japan","Tottori","Yonago","35.432738","133.333399"
"16802048","16802303","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433"
"16802304","16802815","JP","Japan","Yamaguchi","Yamaguchi","34.183000","131.467000"
"16802816","16803071","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433"
"16803072","16803327","JP","Japan","Tottori","Tottori","35.500111","134.232839"
"16803328","16803583","JP","Japan","Shimane","Izumo","35.367000","132.767000"
"16803584","16803839","JP","Japan","Yamaguchi","Yamaguchi","34.183000","131.467000"
"16803840","16804095","JP","Japan","Tottori","Yonago","35.432738","133.333399"
"16804096","16804351","JP","Japan","Shimane","Matsue","35.467000","133.050000"
"16804352","16804607","JP","Japan","Tottori","Tottori","35.500111","134.232839"
"16804608","16804863","JP","Japan","Yamaguchi","Yamaguchi","34.183000","131.467000"
"16804864","16805119","JP","Japan","Shimane","Izumo","35.367000","132.767000"
"16805120","16805375","JP","Japan","Yamaguchi","Yamaguchi","34.183000","131.467000"
"16805376","16805631","JP","Japan","Shimane","Izumo","35.367000","132.767000"
"16805632","16805887","JP","Japan","Shimane","Matsue","35.467000","133.050000"
"16805888","16806143","JP","Japan","Tottori","Yonago","35.432738","133.333399"
"16806144","16806399","JP","Japan","Tottori","Kurayoshi","35.433000","133.817000"
"16806400","16806655","JP","Japan","Yamaguchi","Shimonoseki","33.950000","130.933000"
"16806656","16806911","JP","Japan","Yamaguchi","Iwakuni","34.150000","132.183000"
"16806912","16807167","JP","Japan","Shimane","Matsue","35.467000","133.050000"
"16807168","16807423","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433"
"16807424","16807679","JP","Japan","Tottori","Tottori","35.500111","134.232839"
"16807680","16808447","JP","Japan","Shimane","Matsue","35.467000","133.050000"
"16808448","16808703","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433"
"16808704","16808959","JP","Japan","Yamaguchi","Yamaguchi","34.183000","131.467000"
"16808960","16809215","JP","Japan","Yamaguchi","Shimonoseki","33.950000","130.933000"
"16809216","16809471","JP","Japan","Yamaguchi","Yamaguchi","34.183000","131.467000"
"16809472","16809727","JP","Japan","Tottori","Tottori","35.500111","134.232839"
"16809728","16809983","JP","Japan","Yamaguchi","Yamaguchi","34.183000","131.467000"
"16809984","16810239","TH","Thailand","Chiang Rai","Pa Daet","19.504800","99.992430"
"16810240","16810495","TH","Thailand","Krung Thep Maha Nakhon","Bangkok","13.749976","100.516819"
"16810496","16810751","TH","Thailand","Phetchaburi","Phetchaburi","13.111890","99.944670"
"16810752","16811007","TH","Thailand","Songkhla","Songkhla","7.198820","100.595100"
"16811008","16811263","TH","Thailand","Suphan Buri","Don Chedi","14.634970","100.020970"
"16811264","16811519","TH","Thailand","Krung Thep Maha Nakhon","Bangkok","13.749976","100.516819"
"16811520","16811775","TH","Thailand","Ratchaburi","Ratchaburi","13.536710","99.817120"
"16811776","16812031","TH","Thailand","Chiang Rai","Wiang Chai","19.883610","99.933140"
"16812032","16812287","TH","Thailand","Prachuap Khiri Khan","Kui Buri","12.082830","99.854310"
"16812288","16812543","TH","Thailand","Trang","Ratsada","7.974670","99.633530"
"16812544","16812799","TH","Thailand","Nakhon Sawan","Takhli","15.263360","100.343780"
"16812800","16813567","TH","Thailand","Krung Thep Maha Nakhon","Bangkok","13.749976","100.516819"
"16813568","16813823","TH","Thailand","Phetchaburi","Phetchaburi","13.111890","99.944670"
"16813824","16814079","TH","Thailand","Krung Thep Maha Nakhon","Bangkok","13.749976","100.516819"
"16814080","16814335","TH","Thailand","Surat Thani","Koh Tao","10.098080","99.838090"
"16814336","16814591","TH","Thailand","Phatthalung","Phatthalung","7.617860","100.077920"
"16814592","16815103","TH","Thailand","Surat Thani","Ko Samui","9.535670","99.935670"
"16815104","16815359","TH","Thailand","Nakhon Si Thammarat","Thung Song","8.164530","99.680390"
"16815360","16815615","TH","Thailand","Phangnga","Takua Pa","8.870500","98.343830"
"16815616","16815871","TH","Thailand","Surat Thani","Ko Samui","9.535670","99.935670"
"16815872","16816127","TH","Thailand","Surat Thani","Koh Tao","10.098080","99.838090"
"16816128","16816383","TH","Thailand","Phangnga","Ko Yao","8.110140","98.592310"
"16816384","16816639","TH","Thailand","Phatthalung","Phatthalung","7.617860","100.077920"
"16816640","16816895","TH","Thailand","Surat Thani","Koh Tao","10.098080","99.838090"
"16816896","16817151","TH","Thailand","Surat Thani","Ko Pha Ngan","9.719450","99.995110"
"16817152","16817407","TH","Thailand","Surat Thani","Koh Tao","10.098080","99.838090"
"16817408","16817663","TH","Thailand","Krabi","Ban Ao Nang","8.045800","98.810350"
"16817664","16817919","TH","Thailand","Trang","Palian","7.172280","99.686330"
"16817920","16818175","TH","Thailand","Krabi","Ban Ao Nang","8.045800","98.810350"
"16818176","16818431","TH","Thailand","Surat Thani","Chaiya","9.386240","99.198610"
"16818432","16818943","TH","Thailand","Surat Thani","Ko Samui","9.535670","99.935670"
"16818944","16819199","TH","Thailand","Phangnga","Ban Phru Nai","7.933330","98.583330"
"16819200","16819455","TH","Thailand","Phatthalung","Khuan Khanun","7.734700","100.009310"
"16819456","16819711","TH","Thailand","Chiang Mai","San Pa Tong","18.628280","98.895720"
"16819712","16820223","TH","Thailand","Surat Thani","Ko Pha Ngan","9.719450","99.995110"
"16820224","16820479","TH","Thailand","Phetchaburi","Cha-am","12.800135","99.966107"
"16820480","16820735","TH","Thailand","Krung Thep Maha Nakhon","Bangkok","13.749976","100.516819"
"16820736","16820991","TH","Thailand","Surat Thani","Ko Samui","9.535670","99.935670"
"16820992","16821247","TH","Thailand","Phra Nakhon Si Ayutthaya","Wang Noi","14.226890","100.715500"
"16821248","16821759","TH","Thailand","Phatthalung","Phatthalung","7.617860","100.077920"
"16821760","16822015","TH","Thailand","Phangnga","Kapong","8.696970","98.409140"

AMI a obrázky

IP2Location poskytuje bezplatné, předkonfigurované a připravené ke spuštění AMI a obrázků pro snadné nastavení databáze.

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IP2Location™ Geolokační databáze IP adres

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