请记住,我将在lat / long对上执行计算,什么数据类型最适合与MySQL数据库一起使用?


当前回答

我们将纬度/经度X 1,000,000作为数字存储在oracle数据库中,以避免使用双数舍入错误。

已知纬度/经度精确到小数点后第6位是10厘米,这就是我们所需要的。许多其他数据库也将lat/long存储到小数点后第6位。

其他回答

我们将纬度/经度X 1,000,000作为数字存储在oracle数据库中,以避免使用双数舍入错误。

已知纬度/经度精确到小数点后第6位是10厘米,这就是我们所需要的。许多其他数据库也将lat/long存储到小数点后第6位。

GeoLocationCoordinates返回一个双数据类型,以十进制表示位置的经纬度。你可以试着用double。

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。

根据您的应用程序,我建议使用FLOAT(9,6)

空间键将为您提供更多的功能,但在生产基准测试中,浮点数比空间键快得多。(在AVG中0,01 VS 0,001)

虽然它并不是所有操作的最佳选择,但如果你正在制作地图瓷砖或使用只有一个投影的大量标记(点)(例如Mercator,像谷歌Maps和许多其他滑头地图框架),我发现我所谓的“巨大坐标系”真的非常非常方便。基本上,你将x和y像素坐标存储在一些放大的地方——我使用缩放级别23。这有几个好处:

You do the expensive lat/lng to mercator pixel transformation once instead of every time you handle the point Getting the tile coordinate from a record given a zoom level takes one right shift. Getting the pixel coordinate from a record takes one right shift and one bitwise AND. The shifts are so lightweight that it is practical to do them in SQL, which means you can do a DISTINCT to return only one record per pixel location, which will cut down on the number records returned by the backend, which means less processing on the front end.

我在最近的一篇博客文章中谈到了这些: http://blog.webfoot.com/2013/03/12/optimizing-map-tile-generation/