根据这篇维基文章 http://en.wikipedia.org/wiki/Decimal_degrees#Accuracy MySQL中适当的数据类型是Decimal(9,6)，用于存储经度和纬度 单独的字段。

基本上，这取决于你需要的定位精度。使用DOUBLE可以获得3.5nm的精度。DECIMAL(8,6)/(9,6)减小到16cm。FLOAT是1.7米…

这个非常有趣的表格有一个更完整的列表:http://mysql.rjweb.org/doc.php/latlng:

Datatype               Bytes            Resolution

Deg*100 (SMALLINT)     4      1570 m    1.0 mi  Cities
DECIMAL(4,2)/(5,2)     5      1570 m    1.0 mi  Cities
SMALLINT scaled        4       682 m    0.4 mi  Cities
Deg*10000 (MEDIUMINT)  6        16 m     52 ft  Houses/Businesses
DECIMAL(6,4)/(7,4)     7        16 m     52 ft  Houses/Businesses
MEDIUMINT scaled       6       2.7 m    8.8 ft
FLOAT                  8       1.7 m    5.6 ft
DECIMAL(8,6)/(9,6)     9        16cm    1/2 ft  Friends in a mall
Deg*10000000 (INT)     8        16mm    5/8 in  Marbles
DOUBLE                16       3.5nm     ...    Fleas on a dog

PostGIS中的空间函数比MySQL中的空间函数更具功能性(即不局限于BBOX操作)。看看:链接文本

在GIS中使用MySQL的空间扩展。

存储Lat Long值的理想数据类型是十进制(9,6)

这是在大约10cm的精度，而只使用5字节的存储。

例如:CAST(123.456789 as decimal(9,6))

从一个完全不同和简单的角度来看:

if you are relying on Google for showing your maps, markers, polygons, whatever, then let the calculations be done by Google! you save resources on your server and you simply store the latitude and longitude together as a single string (VARCHAR), E.g.: "-0000.0000001,-0000.000000000000001" (35 length and if a number has more than 7 decimal digits then it gets rounded); if Google returns more than 7 decimal digits per number, you can get that data stored in your string anyway, just in case you want to detect some flees or microbes in the future; you can use their distance matrix or their geometry library for calculating distances or detecting points in certain areas with calls as simple as this: google.maps.geometry.poly.containsLocation(latLng, bermudaTrianglePolygon)) there are plenty of "server-side" APIs you can use (in Python, Ruby on Rails, PHP, CodeIgniter, Laravel, Yii, Zend Framework, etc.) that use Google Maps API.

这样，您就不必担心索引号和与数据类型相关的所有其他问题，这些问题可能会破坏您的坐标。