Introduktion
Denne database giver en løsning til at bestemme landet, regionen eller staten, byen, breddegrad, længdegrad og postnummer for oprindelsen for enhver IP-adresse i et par enkle trin. Først skal du hente IP-adressen fra netværksprotokollen eller webserverens variabel. Derefter skal du oversætte IP-adressen til et IP-nummer i decimalformat for at fremskynde databaseforespørgslen. Til sidst skal du slå IP-nummeret op fra IP2Location ™ -databasen for at finde den nøjagtige geografiske placering.
Det er gratis til personlig eller kommerciel brug med tilskrivning krævet ved at nævne brugen af disse data som følger,
Hent venligst kommercielle udgave , hvis du leder efter høj datanøjagtighed, flere registreringer og kundesupport. Besøg venligst produktsammenligningsside for mere information.
Let's explore this database which provides a valuable resource of geolocation data for free now!
Sign Up For FreeFunktioner
Oversætter IP-adresse til land, region eller stat, by, bredde og længdegrad og US postnummer.
| Nuværende version | April 2025 |
|---|---|
| Næste opdatering | May 2025 |
| IPv4 Databasestørrelse |
BIN: 83.12 MB CSV: 310.45 MB (3,049,197 Rækker) |
| IPv6 Databasestørrelse |
BIN: 175.57 MB CSV: 718.42 MB (5,455,315 Rækker) |
| Array |
Binær (BIN)
ASCII-tekstfil (CSV) |
Databasefelter
| Navn | Type | Beskrivelse |
|---|---|---|
| ip_from | INT (10)† / DECIMAL (39,0)†† | Første IP-adresse viser netblock. |
| ip_to | INT (10)† / DECIMAL (39,0)†† | Sidste IP-adresse viser netblock. |
| country_code | CHAR(2) | Landekode med to tegn baseret på ISO 3166. |
| country_name | VARCHAR(64) | Landsnavn baseret på ISO 3166. |
| region_name | VARCHAR(128) | Region eller statens navn. |
| city_name | VARCHAR(128) | Bynavn. |
| latitude | DOUBLE††† | Bybreddegrad. Standard til hovedstadens breddegrad, hvis byen er ukendt. |
| longitude | DOUBLE††† | Byens længdegrad. Standard til hovedstads længdegrad, hvis byen er ukendt. |
| zip_code | VARCHAR(30) | Postnummer. |
† 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.
Databaseopsætning
Nedenfor er trinene til opsætning af databasen til både IPv4- og IPv6-data.
Opret database
CREATE DATABASE ip2location;
USE ip2location;
CREATE TABLE `ip2location_db9`(
`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,
`zip_code` VARCHAR(30),
PRIMARY KEY (`ip_to`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 COLLATE=utf8_bin;Importér database
LOAD DATA LOCAL
INFILE 'IP2LOCATION-LITE-DB9.CSV'
INTO TABLE
`ip2location_db9`
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n'
IGNORE 0 LINES;Opret database
CREATE DATABASE ip2location
GO
USE ip2location
GO
CREATE TABLE [ip2location].[dbo].[ip2location_db9](
[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,
[zip_code] nvarchar(30) NOT NULL
) ON [PRIMARY]
GO
CREATE CLUSTERED INDEX [ip_to] ON [ip2location].[dbo].[ip2location_db9]([ip_to]) ON [PRIMARY]
GOImportér database
BULK INSERT [ip2location].[dbo].[ip2location_db9]
FROM '{PATH TO IP2LOCATION-LITE-DB9.CSV}'
WITH
(
FORMATFILE = '{PATH TO DB9.FMT}'
)
GOBEMÆRK: Du bliver nødt til at kopiere FMT-koden nedenfor og gemme den som en fil med navnetDB9.FMT på din computer.
12.0
10
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 "",
10 SQLCHAR 0 30 "\",\"" 9 zip_code Latin1_General_CI_AIOpret database
CREATE DATABASE ip2location WITH ENCODING 'UTF8';
\c ip2location
CREATE TABLE ip2location_db9(
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,
zip_code character varying(30) NOT NULL,
CONSTRAINT ip2location_db1_pkey PRIMARY KEY (ip_from, ip_to)
);Importér database
COPY ip2location_db9 FROM 'IP2LOCATION-LITE-DB9.CSV' WITH CSV QUOTE AS '"';Importér database
mongoimport -u USERNAME -p PASSWORD --authenticationDatabase admin --drop --db ip2location --collection ip2location_db9 --type csv --file "IP2LOCATION-LITE-DB9.CSV" --fields ip_from,ip_to,country_code,country_name,region_name,city_name,latitude,longitude,zip_codeOpret database
CREATE DATABASE ip2location;
USE ip2location;
CREATE TABLE `ip2location_db9_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,
`zip_code` VARCHAR(30),
PRIMARY KEY (`ip_to`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 COLLATE=utf8_bin;Importér database
LOAD DATA LOCAL
INFILE 'IP2LOCATION-LITE-DB9.IPV6.CSV'
INTO TABLE
`ip2location_db9_ipv6`
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n'
IGNORE 0 LINES;Opret database
CREATE DATABASE ip2location
GO
USE ip2location
GO
CREATE TABLE [ip2location].[dbo].[ip2location_db9_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,
[zip_code] nvarchar(30) NOT NULL
) ON [PRIMARY]
GO
CREATE CLUSTERED INDEX [ip_to] ON [ip2location].[dbo].[ip2location_db9_ipv6]([ip_to]) ON [PRIMARY]
GOImportér database
BULK INSERT [ip2location].[dbo].[ip2location_db9_ipv6]
FROM '{PATH TO IP2LOCATION-LITE-DB9.IPV6.CSV}'
WITH
(
FORMATFILE = '{PATH TO DB9.FMT}'
)
GOBEMÆRK: Du bliver nødt til at kopiere FMT-koden nedenfor og gemme den som en fil med navnetDB9.FMT på din computer. Den første linje i FMT-koden angiver versionen af bcp. Skift versionen i henhold til din MS-SQL installeret.
12.0
10
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 "",
10 SQLCHAR 0 30 "\",\"" 9 zip_code Latin1_General_CI_AIOpret database
CREATE DATABASE ip2location WITH ENCODING 'UTF8';
\c ip2location
CREATE TABLE ip2location_db9_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,
zip_code character varying(30) NOT NULL,
CONSTRAINT ip2location_db1_pkey PRIMARY KEY (ip_from, ip_to)
);Importér database
COPY ip2location_db9_ipv6 FROM 'IP2LOCATION-LITE-DB9.IPV6.CSV' WITH CSV QUOTE AS '"';Importér database
mongoimport -u USERNAME -p PASSWORD --authenticationDatabase admin --drop --db ip2location --collection ip2location_db9_ipv6 --type csv --file "IP2LOCATION-LITE-DB9.IPV6.CSV" --fields ip_from,ip_to,country_code,country_name,region_name,city_name,latitude,longitude,zip_codeEksempeldatabase
Nedenfor er prøvedatabasen til dine referencer.
"ip_from","ip_to","country_code","country_name","region_name","city_name","latitude","longitude","zip_code"
"0","16777215","-","-","-","-","0.000000","0.000000","-"
"16777216","16777471","AU","Australia","Queensland","Brisbane","-27.467540","153.028090","4000"
"16777472","16778239","CN","China","Fujian","Fuzhou","26.061390","119.306110","350004"
"16778240","16778495","AU","Australia","Victoria","Melbourne","-37.814007","144.963171","3000"
"16778496","16778751","AU","Australia","Queensland","Warren","-23.500000","150.283330","4702"
"16778752","16779007","AU","Australia","Victoria","Melbourne","-37.814007","144.963171","3000"
"16779008","16779263","AU","Australia","Queensland","Warren","-23.500000","150.283330","4702"
"16779264","16781311","CN","China","Guangdong","Guangzhou","23.127361","113.264570","510140"
"16781312","16785407","JP","Japan","Tokyo","Tokyo","35.689497","139.692317","100-0000"
"16785408","16793599","CN","China","Guangdong","Guangzhou","23.127361","113.264570","510140"
"16793600","16794367","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433","732-0057"
"16794368","16794623","JP","Japan","Hiroshima","Nuno","34.533330","132.400000","730-0011"
"16794624","16794879","JP","Japan","Miyagi","Sendai","38.266990","140.867133","980-0802"
"16794880","16795647","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433","732-0057"
"16795648","16795903","JP","Japan","Hiroshima","Niho","34.369940","132.493950","736-0014"
"16795904","16797695","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433","732-0057"
"16797696","16797951","JP","Japan","Shimane","Izumo","35.367000","132.767000","693-0044"
"16797952","16798207","JP","Japan","Yamaguchi","Yamaguchi","34.183000","131.467000","754-0893"
"16798208","16798463","JP","Japan","Shimane","Matsue","35.467000","133.050000","690-0015"
"16798464","16798719","JP","Japan","Tottori","Kurayoshi","35.433000","133.817000","682-0021"
"16798720","16798975","JP","Japan","Tottori","Tottori","35.500111","134.232839","680-0805"
"16798976","16799231","JP","Japan","Shimane","Matsue","35.467000","133.050000","690-0015"
"16799232","16799487","JP","Japan","Tottori","Tottori","35.500111","134.232839","680-0805"
"16799488","16799999","JP","Japan","Yamaguchi","Yamaguchi","34.183000","131.467000","754-0893"
"16800000","16800255","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433","732-0057"
"16800256","16800511","JP","Japan","Tottori","Tottori","35.500111","134.232839","680-0805"
"16800512","16800767","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433","732-0057"
"16800768","16801023","JP","Japan","Tottori","Yonago","35.432738","133.333399","683-0846"
"16801024","16801279","JP","Japan","Tottori","Tottori","35.500111","134.232839","680-0805"
"16801280","16801535","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433","732-0057"
"16801536","16801791","JP","Japan","Tottori","Kurayoshi","35.433000","133.817000","682-0021"
"16801792","16802047","JP","Japan","Tottori","Yonago","35.432738","133.333399","683-0846"
"16802048","16802303","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433","732-0057"
"16802304","16802815","JP","Japan","Yamaguchi","Yamaguchi","34.183000","131.467000","754-0893"
"16802816","16803071","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433","732-0057"
"16803072","16803327","JP","Japan","Tottori","Tottori","35.500111","134.232839","680-0805"
"16803328","16803583","JP","Japan","Shimane","Izumo","35.367000","132.767000","693-0044"
"16803584","16803839","JP","Japan","Yamaguchi","Yamaguchi","34.183000","131.467000","754-0893"
"16803840","16804095","JP","Japan","Tottori","Yonago","35.432738","133.333399","683-0846"
"16804096","16804351","JP","Japan","Shimane","Matsue","35.467000","133.050000","690-0015"
"16804352","16804607","JP","Japan","Tottori","Tottori","35.500111","134.232839","680-0805"
"16804608","16804863","JP","Japan","Yamaguchi","Yamaguchi","34.183000","131.467000","754-0893"
"16804864","16805119","JP","Japan","Shimane","Izumo","35.367000","132.767000","693-0044"
"16805120","16805375","JP","Japan","Yamaguchi","Yamaguchi","34.183000","131.467000","754-0893"
"16805376","16805631","JP","Japan","Shimane","Izumo","35.367000","132.767000","693-0044"
"16805632","16805887","JP","Japan","Shimane","Matsue","35.467000","133.050000","690-0015"
"16805888","16806143","JP","Japan","Tottori","Yonago","35.432738","133.333399","683-0846"
"16806144","16806399","JP","Japan","Tottori","Kurayoshi","35.433000","133.817000","682-0021"
"16806400","16806655","JP","Japan","Yamaguchi","Shimonoseki","33.950000","130.933000","751-0846"
"16806656","16806911","JP","Japan","Yamaguchi","Iwakuni","34.150000","132.183000","740-0304"
"16806912","16807167","JP","Japan","Shimane","Matsue","35.467000","133.050000","690-0015"
"16807168","16807423","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433","732-0057"
"16807424","16807679","JP","Japan","Tottori","Tottori","35.500111","134.232839","680-0805"
"16807680","16808447","JP","Japan","Shimane","Matsue","35.467000","133.050000","690-0015"
"16808448","16808703","JP","Japan","Hiroshima","Hiroshima","34.385868","132.455433","732-0057"
"16808704","16808959","JP","Japan","Yamaguchi","Yamaguchi","34.183000","131.467000","754-0893"
"16808960","16809215","JP","Japan","Yamaguchi","Shimonoseki","33.950000","130.933000","751-0846"
"16809216","16809471","JP","Japan","Yamaguchi","Yamaguchi","34.183000","131.467000","754-0893"
"16809472","16809727","JP","Japan","Tottori","Tottori","35.500111","134.232839","680-0805"
"16809728","16809983","JP","Japan","Yamaguchi","Yamaguchi","34.183000","131.467000","754-0893"
"16809984","16810239","TH","Thailand","Chiang Rai","Pa Daet","19.504800","99.992430","57190"
"16810240","16810495","TH","Thailand","Krung Thep Maha Nakhon","Bangkok","13.749976","100.516819","10200"
"16810496","16810751","TH","Thailand","Phetchaburi","Phetchaburi","13.111890","99.944670","76150"
"16810752","16811007","TH","Thailand","Songkhla","Songkhla","7.198820","100.595100","90190"
"16811008","16811263","TH","Thailand","Suphan Buri","Don Chedi","14.634970","100.020970","72170"
"16811264","16811519","TH","Thailand","Krung Thep Maha Nakhon","Bangkok","13.749976","100.516819","10200"
"16811520","16811775","TH","Thailand","Ratchaburi","Ratchaburi","13.536710","99.817120","70000"
"16811776","16812031","TH","Thailand","Chiang Rai","Wiang Chai","19.883610","99.933140","57290"
"16812032","16812287","TH","Thailand","Prachuap Khiri Khan","Kui Buri","12.082830","99.854310","77150"
"16812288","16812543","TH","Thailand","Trang","Ratsada","7.974670","99.633530","92160"
"16812544","16812799","TH","Thailand","Nakhon Sawan","Takhli","15.263360","100.343780","60140"
"16812800","16813567","TH","Thailand","Krung Thep Maha Nakhon","Bangkok","13.749976","100.516819","10200"
"16813568","16813823","TH","Thailand","Phetchaburi","Phetchaburi","13.111890","99.944670","76150"
"16813824","16814079","TH","Thailand","Krung Thep Maha Nakhon","Bangkok","13.749976","100.516819","10200"
"16814080","16814335","TH","Thailand","Surat Thani","Koh Tao","10.098080","99.838090","84280"
"16814336","16814591","TH","Thailand","Phatthalung","Phatthalung","7.617860","100.077920","93170"
"16814592","16815103","TH","Thailand","Surat Thani","Ko Samui","9.535670","99.935670","84140"
"16815104","16815359","TH","Thailand","Nakhon Si Thammarat","Thung Song","8.164530","99.680390","80110"
"16815360","16815615","TH","Thailand","Phangnga","Takua Pa","8.870500","98.343830","82110"
"16815616","16815871","TH","Thailand","Surat Thani","Ko Samui","9.535670","99.935670","84140"
"16815872","16816127","TH","Thailand","Surat Thani","Koh Tao","10.098080","99.838090","84280"
"16816128","16816383","TH","Thailand","Phangnga","Ko Yao","8.110140","98.592310","82160"
"16816384","16816639","TH","Thailand","Phatthalung","Phatthalung","7.617860","100.077920","93170"
"16816640","16816895","TH","Thailand","Surat Thani","Koh Tao","10.098080","99.838090","84280"
"16816896","16817151","TH","Thailand","Surat Thani","Ko Pha Ngan","9.719450","99.995110","84280"
"16817152","16817407","TH","Thailand","Surat Thani","Koh Tao","10.098080","99.838090","84280"
"16817408","16817663","TH","Thailand","Krabi","Ban Ao Nang","8.045800","98.810350","81180"
"16817664","16817919","TH","Thailand","Trang","Palian","7.172280","99.686330","92120"
"16817920","16818175","TH","Thailand","Krabi","Ban Ao Nang","8.045800","98.810350","81180"
"16818176","16818431","TH","Thailand","Surat Thani","Chaiya","9.386240","99.198610","84110"
"16818432","16818943","TH","Thailand","Surat Thani","Ko Samui","9.535670","99.935670","84140"
"16818944","16819199","TH","Thailand","Phangnga","Ban Phru Nai","7.933330","98.583330","83000"
"16819200","16819455","TH","Thailand","Phatthalung","Khuan Khanun","7.734700","100.009310","93110"
"16819456","16819711","TH","Thailand","Chiang Mai","San Pa Tong","18.628280","98.895720","50120"
"16819712","16820223","TH","Thailand","Surat Thani","Ko Pha Ngan","9.719450","99.995110","84280"
"16820224","16820479","TH","Thailand","Phetchaburi","Cha-am","12.800135","99.966107","76120"
"16820480","16820735","TH","Thailand","Krung Thep Maha Nakhon","Bangkok","13.749976","100.516819","10200"
"16820736","16820991","TH","Thailand","Surat Thani","Ko Samui","9.535670","99.935670","84140"
"16820992","16821247","TH","Thailand","Phra Nakhon Si Ayutthaya","Wang Noi","14.226890","100.715500","13170"
"16821248","16821759","TH","Thailand","Phatthalung","Phatthalung","7.617860","100.077920","93170"
"16821760","16822015","TH","Thailand","Phangnga","Kapong","8.696970","98.409140","82160"
AMI & billeder
IP2Location giver en gratis, forudkonfigureret og klar til at køre AMI og billeder, der let kan opsætte databasen.
