Bu veritabanı, herhangi bir IP adresi için ülkeyi, bölgeyi veya eyaleti, şehri, enlemi, boylamı ve posta kodunu birkaç basit adımda belirlemek için bir çözüm sağlar. İlk olarak, IP adresini ağ protokolünden veya Web sunucusunun sunucu tarafı değişkeninden alın. Ardından, veritabanı sorgusunu hızlandırmak için IP adresini ondalık formatta bir IP numarasına çevirin. Son olarak, coğrafi konumu tam olarak belirlemek için IP2Location ™ veritabanından IP numarasını geriye doğru arayın.
Bu verilerin kullanımından aşağıdaki şekilde bahsedilerek gerekli atıf ile kişisel veya ticari kullanım için ücretsizdir,
Yüksek veri doğruluğu, daha fazla kayıt ve müşteri desteği arıyorsanız lütfen ticari sürümü edinin. Daha fazla bilgi için lütfen ürün karşılaştırma sayfası 'nı ziyaret edin.
Let's explore this database which provides a valuable resource of geolocation data for free now!
Sign Up For FreeIP adresini ülke, bölge veya eyalet, şehir, enlem ve boylam ve ABD posta koduna çevirir.
Şimdiki versiyonu | April 2025 |
---|---|
Sonraki Güncelleme | May 2025 |
IPv4 Veritabanı Boyutu |
BIN: 83.12 MB CSV: 310.45 MB (3,049,197 Satırlar) |
IPv6 Veritabanı Boyutu |
BIN: 175.57 MB CSV: 718.42 MB (5,455,315 Satırlar) |
Dizi |
İkili (BIN)
ASCII Metin Dosyası (CSV) |
İsim Soyisim | Tür | Açıklama |
---|---|---|
ip_from | INT (10)† / DECIMAL (39,0)†† | İlk IP adresi ağ bloğunu gösterir. |
ip_to | INT (10)† / DECIMAL (39,0)†† | Son IP adresi ağ bloğunu gösterir. |
country_code | CHAR(2) | ISO 3166'ya göre iki karakterli ülke kodu. |
country_name | VARCHAR(64) | ISO 3166'ya göre ülke adı. |
region_name | VARCHAR(128) | Bölge veya eyalet adı. |
city_name | VARCHAR(128) | Şehir İsmi. |
latitude | DOUBLE††† | Şehir enlemi. Şehir bilinmiyorsa varsayılan olarak başkent enlemine ayarlayın. |
longitude | DOUBLE††† | Şehir boylamı. Şehir bilinmiyorsa varsayılan olarak başkent boylamına ayarlanır. |
zip_code | VARCHAR(30) | ZIP / Posta kodu. |
† 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.
Aşağıda hem IPv4 hem de IPv6 verileri için veri tabanını kurma adımları verilmiştir.
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;
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;
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]
GO
BULK INSERT [ip2location].[dbo].[ip2location_db9]
FROM '{PATH TO IP2LOCATION-LITE-DB9.CSV}'
WITH
(
FORMATFILE = '{PATH TO DB9.FMT}'
)
GO
NOT: Aşağıdaki FMT kodunu kopyalamanız ve bilgisayarınızaDB9.FMT adında bir dosya olarak kaydetmeniz gerekecektir.
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_AI
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)
);
COPY ip2location_db9 FROM 'IP2LOCATION-LITE-DB9.CSV' WITH CSV QUOTE AS '"';
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_code
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;
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;
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]
GO
BULK INSERT [ip2location].[dbo].[ip2location_db9_ipv6]
FROM '{PATH TO IP2LOCATION-LITE-DB9.IPV6.CSV}'
WITH
(
FORMATFILE = '{PATH TO DB9.FMT}'
)
GO
NOT: Aşağıdaki FMT kodunu kopyalamanız ve bilgisayarınızaDB9.FMT adında bir dosya olarak kaydetmeniz gerekecektir. FMT kodunun ilk satırı bcp'nin sürümünü gösterir. Lütfen sürümü yüklediğiniz MS-SQL'e göre değiştirin.
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_AI
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)
);
COPY ip2location_db9_ipv6 FROM 'IP2LOCATION-LITE-DB9.IPV6.CSV' WITH CSV QUOTE AS '"';
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_code
Aşağıda referanslarınız için örnek veritabanı bulunmaktadır.
"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"
IP2Location, veritabanını kolayca kurmak için ücretsiz, önceden yapılandırılmış ve çalışmaya hazır bir AMI ve görüntüler sağlar.
Lütfen veritabanı lisanslaması için Genel Hüküm ve Koşullarını inceleyin.
Enhance your applications with essential geolocation data by using our FREE databases.