I have a table in a mysql database containing geo coordinates and other information about places. Each row in the table represents a geographical place and has coordinates such as: Latitude = 45.05235 and Longitude = 8.02354 which is a place somewhere in Europe.
我在mysql数据库中有一个表,其中包含地理坐标和其他有关地点的信息。表中的每一行代表一个地理位置,其坐标如下:纬度= 45.05235,经度= 8.02354,这是欧洲某个地方。
Given on some input geographical coordinates (same format) I need to select from that table the nearest place, or the nearest places within some radius.
给定一些输入地理坐标(相同的格式),我需要从该表中选择最近的地方,或者在某个半径范围内最近的地方。
I'm already using indices, however I want to speed up the process since these functions are used many times.
我已经在使用索引了,但是我想加快这个过程,因为这些函数被多次使用。
It might help if I could select the nearest place or places within a certain radius directly with one query. Any other solutions are also very welcom of course.
如果我可以直接用一个查询选择最近的位置或某个半径内的位置,这可能会有所帮助。当然,任何其他解决方案也非常欢迎。
I made a function that gets the nearest place (which is working but slow):
我做了一个函数来获取最近的位置(工作但很慢):
<?php
//Function for getting nearest destinations:
function nearest_destination($lat1,$lon1,$radius,$type,$maxdistance){
//Determine geo bounds:
$lonlow = $lon1 - rad2deg($maxdistance/6371);
$lonhigh = $lon1 + rad2deg($maxdistance/6371);
$latlow = $lat1 - rad2deg($maxdistance/6371);
$lathigh = $lat1 + rad2deg($maxdistance/6371);
//Database details and connect to database
include(realpath($_SERVER["DOCUMENT_ROOT"]).'/connect_to_db.php');
//Set initial counters to zero
$ii=0;
$i=0;
while($row = mysql_fetch_array($result, MYSQL_ASSOC)){
$shortnamelist[$ii]=$row['shortname'];
$fullnamelist[$ii]=$row['fullname'];
$latitudelist[$ii]=$row['latitude'];
$longitudelist[$ii]=$row['longitude'];
$lon2=$row['longitude'];
$lat2=$row['latitude'];
//Calculate the distance:
$delta_lon = $lon2 - $lon1;
$earth_radius = "6371"; # in km
$distance = sin(deg2rad($lat1)) * sin(deg2rad($lat2)) + cos(deg2rad($lat1)) * cos(deg2rad($lat2)) * cos(deg2rad($delta_lon)) ;
$distance = acos($distance);
$distance = $earth_radius*$distance;
$distance = round($distance, 4);
$distancelist[$ii] = $distance;
$ii=$ii+1;
}
//Select position of nearest, and select the destination
if(isset($distancelist)){
$minkey=array_keys($distancelist, min($distancelist));
$minkey=$minkey[0];
$fullname=$fullnamelist[$minkey];
$shortname=$shortnamelist[$minkey];
$latitude=$latitudelist[$minkey];
$longitude=$longitudelist[$minkey];
// remove the big arrays to conserve memory:
unset($fullnamelist);
unset($latitudelist);
unset($longitudelist);
unset($distancelist);
unset($shortnamelist);
}
if(isset($destinid)=='TRUE'){
$nearest_destination = array("shortname" => $shortname, "fullname" => $fullname, "latitude" => $latitude, "longitude" => $longitude, "distancelist" => $distancelisting);}
else $nearest_destination = 0;
mysql_close ();
return $nearest_destination;
}
?>
This is the function that selects the the nearest places within a certain radius (working but slow):
这是选择特定半径内最近的位置(工作但很慢)的函数:
<?php
//Function for getting nearest destinations:
function nearest_destination($lat1,$lon1,$radius,$type,$maxdistance){
//Determine geo bounds:
$lonlow = $lon1 - rad2deg($maxdistance/6371);
$lonhigh = $lon1 + rad2deg($maxdistance/6371);
$latlow = $lat1 - rad2deg($maxdistance/6371);
$lathigh = $lat1 + rad2deg($maxdistance/6371);
// Convert from string to number:
$lon1=floatval($lon1);
$lat1=floatval($lat1);
//Database details and connect to database
include(realpath($_SERVER["DOCUMENT_ROOT"]).'/connect_to_database.php'); //Get DB login details
//Select data from destinations table:
$sql="SELECT shortname, fullname, latitude, longitude FROM destinations WHERE type='$type' AND longitude > $lonlow AND longitude < $lonhigh AND latitude > $latlow AND latitude < $lathigh";
$result=mysql_query($sql);
//Set initial counter to zero
$i=0;
while($row = mysql_fetch_array($result, MYSQL_ASSOC)){
$lon2=$row['longitude'];
$lat2=$row['latitude'];
$lon2=floatval($lon2);
$lat2=floatval($lat2);
//Calculate the distance:
$delta_lon = $lon2 - $lon1;
$earth_radius = "6371"; # in km
$distance = sin(deg2rad($lat1)) * sin(deg2rad($lat2)) + cos(deg2rad($lat1)) * cos(deg2rad($lat2)) * cos(deg2rad($delta_lon)) ;
$distance = acos($distance);
$distance = $earth_radius*$distance;
$distance = round($distance, 4);
//If distance is smaller than the radius the destination is saved in the array:
if($distance<$radius){
$fullname[$i]=$row['fullname'];
$shortname[$i]=$row['shortname'];
$latitude[$i]=$row['latitude'];
$longitude[$i]=$row['longitude'];
$distancelisting[$i] = $distance;
$i=$i+1;
}
}
if(isset($destinid)=='TRUE'){
$nearest_destination = array("shortname" => $shortname, "fullname" => $fullname, "latitude" => $latitude, "longitude" => $longitude, "distancelist" => $distancelisting);}
else $nearest_destination = 0;
mysql_close ();
return $nearest_destination;
}
?>
2 个解决方案
#1
1
Using mysql gis support will improve your speeds as it was created for this. If you are constantly reading and comparing distances it will be worth it to use postgis which is a full support geospatial database. It will let you index your points for effecient distance queries. MySQL does provide limited support and relies on GEOS http://trac.osgeo.org/geos/
使用mysql gis支持将提高您为此创建的速度。如果你经常阅读和比较距离,那么使用postgis是值得的,这是一个完整的支持地理空间数据库。它可以让你为有效的距离查询索引你的点数。 MySQL确实提供有限的支持并依赖于GEOS http://trac.osgeo.org/geos/
http://forge.mysql.com/wiki/GIS_Functions
http://postgis.refractions.net/
The most relevant link for this was posted by a comment by Anigel it gives an exact answer to your question Fastest Way to Find Distance Between Two Lat/Long Points
Anigel的评论发布了最相关的链接,它为您的问题提供了一个确切的答案。找到两个纬度/长点之间距离的最快方法
#2
1
Feel free to modify as needed:
随意根据需要进行修改:
<?php
$center_lat = $_GET["lat"];
$center_lng = $_GET["lng"];
$radius = $_GET["radius"];
$unit = $_GET["unit"];
$unitConst = $unit == "mi" ? 3959 : 6371;
$sql = sprintf("SELECT Address, City, State, Country, PostalCode, PhoneNumber, Lat, Lng, ($unitConst * acos(cos(radians('%s')) * cos(radians(Lat)) * cos(radians(Lng) - radians('%s')) + sin(radians('%s')) * sin(radians(Lat)))) AS Distance FROM destinations WHERE (Lat != '0' AND Lng !=0) HAVING distance < '%s' ORDER BY distance", mysql_real_escape_string($center_lat), mysql_real_escape_string($center_lng), mysql_real_escape_string($center_lat), mysql_real_escape_string($radius));
?>
#1
1
Using mysql gis support will improve your speeds as it was created for this. If you are constantly reading and comparing distances it will be worth it to use postgis which is a full support geospatial database. It will let you index your points for effecient distance queries. MySQL does provide limited support and relies on GEOS http://trac.osgeo.org/geos/
使用mysql gis支持将提高您为此创建的速度。如果你经常阅读和比较距离,那么使用postgis是值得的,这是一个完整的支持地理空间数据库。它可以让你为有效的距离查询索引你的点数。 MySQL确实提供有限的支持并依赖于GEOS http://trac.osgeo.org/geos/
http://forge.mysql.com/wiki/GIS_Functions
http://postgis.refractions.net/
The most relevant link for this was posted by a comment by Anigel it gives an exact answer to your question Fastest Way to Find Distance Between Two Lat/Long Points
Anigel的评论发布了最相关的链接,它为您的问题提供了一个确切的答案。找到两个纬度/长点之间距离的最快方法
#2
1
Feel free to modify as needed:
随意根据需要进行修改:
<?php
$center_lat = $_GET["lat"];
$center_lng = $_GET["lng"];
$radius = $_GET["radius"];
$unit = $_GET["unit"];
$unitConst = $unit == "mi" ? 3959 : 6371;
$sql = sprintf("SELECT Address, City, State, Country, PostalCode, PhoneNumber, Lat, Lng, ($unitConst * acos(cos(radians('%s')) * cos(radians(Lat)) * cos(radians(Lng) - radians('%s')) + sin(radians('%s')) * sin(radians(Lat)))) AS Distance FROM destinations WHERE (Lat != '0' AND Lng !=0) HAVING distance < '%s' ORDER BY distance", mysql_real_escape_string($center_lat), mysql_real_escape_string($center_lng), mysql_real_escape_string($center_lat), mysql_real_escape_string($radius));
?>