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

介紹 特徵 數據庫字段 數據庫設置 示例數據庫 AMI和圖像 SDK和庫 免費工具/插件

介紹

IP2Location LITE Database

該數據庫提供了一個解決方案，只需幾個簡單的步驟即可確定任何IP地址的國家，地區或州，城市，緯度，經度和郵政編碼。首先，從網絡協議或Web服務器的服務器端變量中檢索IP地址。接下來，將IP地址轉換為十進制格式的IP地址，以加快數據庫查詢的速度。最後，從IP2Location™數據庫中反向查找IP號，以查明確切的地理位置。

它是免費的，但需註明出處並註明出處，如下所述，

如果您希望獲得更高的數據準確性，更多記錄和客戶支持，請獲取商業版。請訪問產品比較頁面以獲取更多信息。

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特徵

將IP地址轉換為國家，地區或州，城市，緯度和經度以及美國郵政編碼。

當前版本 April 2025
下次更新 May 2025
IPv4 數據庫大小 BIN: 83.12 MB
CSV: 310.45 MB (3,049,197 行)
IPv6 數據庫大小 BIN: 175.57 MB
CSV: 718.42 MB (5,455,315 行)
大批 二進制 （BIN）
ASCII文本文件 （CSV）

數據庫字段

名稱 類型 描述
ip_from INT (10)† / DECIMAL (39,0)†† 第一個IP地址顯示netblock。
ip_to INT (10)† / DECIMAL (39,0)†† 上一個IP地址顯示netblock。
country_code CHAR(2) 基於ISO 3166的兩個字符的國家/地區代碼。
country_name VARCHAR(64) 基於ISO 3166的國家/地區名稱。
region_name VARCHAR(128) 地區或州名稱。
city_name VARCHAR(128) 城市名。
latitude DOUBLE††† 城市緯度。如果城市未知，則默認為首都緯度。
longitude DOUBLE††† 城市經度。如果城市未知，則默認為首都城市經度。
zip_code VARCHAR(30) 郵編/郵政編碼。

† 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.

數據庫設置

以下是為IPv4和IPv6數據設置數據庫的步驟。

建立資料庫
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;
導入數據庫
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;
建立資料庫
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
導入數據庫
BULK INSERT [ip2location].[dbo].[ip2location_db9]
FROM '{PATH TO IP2LOCATION-LITE-DB9.CSV}'
WITH
(
	FORMATFILE = '{PATH TO DB9.FMT}'
)
GO

注意：您將需要復制以下FMT代碼並將其保存為計算機上名為DB9.FMT的文件。 

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

建立資料庫
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)
);
導入數據庫
COPY ip2location_db9 FROM 'IP2LOCATION-LITE-DB9.CSV' WITH CSV QUOTE AS '"';
導入數據庫
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
建立資料庫
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;
導入數據庫
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;
建立資料庫
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
導入數據庫
BULK INSERT [ip2location].[dbo].[ip2location_db9_ipv6]
FROM '{PATH TO IP2LOCATION-LITE-DB9.IPV6.CSV}'
WITH
(
	FORMATFILE = '{PATH TO DB9.FMT}'
)
GO

注意：您將需要復制以下FMT代碼並將其保存為計算機上名為DB9.FMT的文件。 FMT代碼的第一行指示bcp的版本。請根據安裝的MS-SQL更改版本。 

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

建立資料庫
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)
);
導入數據庫
COPY ip2location_db9_ipv6 FROM 'IP2LOCATION-LITE-DB9.IPV6.CSV' WITH CSV QUOTE AS '"';
導入數據庫
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

示例數據庫

以下是為您提供參考的示例數據庫。 


"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和圖像

IP2Location提供了一個免費的，預先配置且可立即運行的AMI和映像，可輕鬆設置數據庫。

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請查看通用條款和條件中的數據庫許可。

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