Fastest Way to Find Distance Between Two Lat Long Points

Question

I currently have just under a million locations in a mysql database all with longitude and latitude information   I am trying to find the distance between one point and many other points via a query  It s not as fast as I want it to be especially with 100  hits a second     Is there a faster query or possibly a faster system other than mysql for this  I m using this query   SELECT    name        3959   acos  cos  radians 42 290763      cos  radians  locations lat           cos  radians locations lng  - radians -71 35368     sin radians 42 290763         sin  radians locations lat     AS distance  FROM locations  WHERE active   1  HAVING distance  lt  10  ORDER BY distance    Note  The provided distance is in Miles  If you need Kilometers  use 6371 instead of 3959

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SELECT   FROM  SELECT      acos sin  43 6980168 pi   180      sin  latitude pi   180   cos  43 6980168 pi   180      cos  latitude pi   180     cos   7 266903899999988- longitude    pi   180     180 pi    60 1 1515   as distance  FROM wp users WHERE 1 GROUP BY ID limit 0 10  as X  ORDER BY ID DESC   This is the distance calculation query between to points in MySQL  I have used it in a long database  it it working perfect  Note  do the changes  database name  table name  column etc  as per your requirements

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Using mysql  SET  orig lon   1 027125  SET  dest lon   1 027125   SET  orig lat   2 398441  SET  dest lat   2 398441   SET  kmormiles   6371 -- for distance in miles set to   3956  SELECT  kmormiles   ACOS LEAST COS RADIANS  orig lat       COS RADIANS  dest lat     COS RADIANS  orig lon -  dest lon       SIN RADIANS  orig lat     SIN RADIANS  dest lat   1 0   as distance    See  https   andrew hedges name experiments haversine   See  https   stackoverflow com a 24372831 5155484  See  http   www plumislandmedia net mysql haversine-mysql-nearest-loc   NOTE  LEAST is used to avoid null values as a comment suggested on https   stackoverflow com a 24372831 5155484

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select       acos sin    latitude  pi   180     sin   lat  pi   180   cos    latitude  pi   180          cos   lat  pi   180     cos     longitude -  lng   pi   180     180 pi    60 1 1515       AS distance     from table having distance lt 22

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The full code with details about how to install as MySQL plugin are here  https   github com lucasepe lib mysqludf haversine  I posted this last year as comment  Since kindly  TylerCollier  suggested me to post as answer  here it is    Another way is to write a custom UDF function that returns the haversine distance from two points  This function can take in input   lat1  real   lng1  real   lat2  real   lng2  real   type  string - optinal -  km    ft    mi     So we can write something like this   SELECT id  name FROM MY PLACES WHERE haversine distance lat1  lng1  lat2  lng2   lt  40    to fetch all records with a distance less then 40 kilometers  Or   SELECT id  name FROM MY PLACES WHERE haversine distance lat1  lng1  lat2  lng2   ft    lt  25    to fetch all records with a distance less then 25 feet   The core function is   double haversine distance  UDF INIT  initid  UDF ARGS  args  char  is null  char  error         double result     double   initid- gt ptr        Earth Radius in Kilometers         double R   6372 797560856      double DEG TO RAD   M PI 180 0      double RAD TO DEG   180 0 M PI      double lat1     double   args- gt args 0       double lon1     double   args- gt args 1       double lat2     double   args- gt args 2       double lon2     double   args- gt args 3       double dlon    lon2 - lon1    DEG TO RAD      double dlat    lat2 - lat1    DEG TO RAD      double a   pow sin dlat   0 5  2             cos lat1 DEG TO RAD    cos lat2 DEG TO RAD    pow sin dlon   0 5  2       double c   2 0   atan2 sqrt a   sqrt 1-a        result     R   c                  If we have a 5th distance type argument                if  args- gt arg count    5            str to lowercase args- gt args 4            if  strcmp args- gt args 4    ft      0  result    3280 8399          if  strcmp args- gt args 4    mi      0  result    0 621371192             return result

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Not a MySql specific answer  but it ll improve the performance of your sql statement   What you re effectively doing is calculating the distance to every point in the table  to see if it s within 10 units of a given point   What you can do before you run this sql  is create four points that draw a box 20 units on a side  with your point in the center i e    x1 y1          x4  y4   where  x1 y1  is  givenlong   10 units  givenLat   10units         givenLong - 10units  givenLat -10 units   Actually  you only need two points  top left and bottom right call them  X1  Y1  and  X2  Y2   Now your SQL statement use these points to exclude rows that definitely are more than 10u from your given point  it can use indexes on the latitudes  amp  longitudes  so will be orders of magnitude faster than what you currently have   e g   select        where locations lat between X1 and X2  and   locations Long between y1 and y2    The box approach can return false positives  you can pick up points in the corners of the box that are   10u from the given point   so you still need to calculate the distance of each point  However this again will be much faster because you have drastically limited the number of points to test to the points within the box   I call this technique  Thinking inside the box      EDIT  Can this be put into one SQL statement   I have no idea what mySql or Php is capable of  sorry  I don t know where the best place is to build the four points  or how they could be passed to a mySql query in Php  However  once you have the four points  there s nothing stopping you combining your own SQL statement with mine   select name            3959   acos  cos  radians 42 290763                     cos  radians  locations lat                      cos  radians  locations lng   - radians -71 35368                     sin  radians 42 290763                     sin  radians  locations lat         AS distance  from locations  where active   1  and locations lat between X1 and X2  and locations Long between y1 and y2 having distance  lt  10 ORDER BY distance    I know with MS SQL I can build a SQL statement that declares four floats  X1  Y1  X2  Y2  and calculates them before the  main  select statement  like I said  I ve no idea if this can be done with MySql  However I d still be inclined to build the four points in C  and pass them as parameters to the SQL query   Sorry I can t be more help  if anyone can answer the MySQL  amp  Php specific portions of this  feel free to edit this answer to do so

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Here is a very detailed description of Geo Distance Search with MySQL a solution based on implementation of Haversine Formula to mysql  The complete solution description with theory  implementation and further performance optimization  Although the spatial optimization part didn t work correct in my case  http   www scribd com doc 2569355 Geo-Distance-Search-with-MySQL

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if you are using MySQL 5 7    then you can use st distance sphere POINT  POINT    Select st distance sphere POINT -2 997065  53 404146    POINT 58 615349  23 56676    1000  as distcance

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The following MySQL function was posted on this blog post  I haven t tested it much  but from what I gathered from the post  if your latitude and longitude fields are indexed  this may work well for you   DELIMITER     DROP FUNCTION IF EXISTS  get distance in miles between geo locations     CREATE FUNCTION get distance in miles between geo locations    geo1 latitude decimal 10 6   geo1 longitude decimal 10 6      geo2 latitude decimal 10 6   geo2 longitude decimal 10 6    returns decimal 10 3  DETERMINISTIC BEGIN   return   ACOS SIN geo1 latitude   PI     180    SIN geo2 latitude   PI     180         COS geo1 latitude   PI     180    COS geo2 latitude   PI     180         COS  geo1 longitude - geo2 longitude    PI     180     180   PI           60   1 1515   END     DELIMITER     Sample usage   Assuming a table called places with fields latitude  amp  longitude    SELECT get distance in miles between geo locations -34 017330  22 809500  latitude  longitude  AS distance from input FROM places

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A fast  simple and accurate  for smaller distances  approximation can be done with a spherical projection  At least in my routing algorithm I get a 20  boost compared to the correct calculation  In Java code it looks like   public double approxDistKm double fromLat  double fromLon  double toLat  double toLon        double dLat   Math toRadians toLat - fromLat       double dLon   Math toRadians toLon - fromLon       double tmp   Math cos Math toRadians  fromLat   toLat    2     dLon      double d   dLat   dLat   tmp   tmp      return R   Math sqrt d       Not sure about MySQL  sorry     Be sure you know about the limitation  the third param of assertEquals means the accuracy in kilometers        float lat   24 235f      float lon   47 234f      CalcDistance dist   new CalcDistance        double res   15 051      assertEquals res  dist calcDistKm lat  lon  lat - 0 1  lon   0 1   1e-3       assertEquals res  dist approxDistKm lat  lon  lat - 0 1  lon   0 1   1e-3        res   150 748      assertEquals res  dist calcDistKm lat  lon  lat - 1  lon   1   1e-3       assertEquals res  dist approxDistKm lat  lon  lat - 1  lon   1   1e-2        res   1527 919      assertEquals res  dist calcDistKm lat  lon  lat - 10  lon   10   1e-3       assertEquals res  dist approxDistKm lat  lon  lat - 10  lon   10   10

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Create your points using Point values of Geometry data types in MyISAM table  As of Mysql 5 7 5  InnoDB tables now also support SPATIAL indices   Create a SPATIAL index on these points Use MBRContains   to find the values   SELECT    FROM    table WHERE   MBRContains LineFromText CONCAT                         lon   10     111 1   cos RADIANS  lon                             lat   10   111 1                          lon - 10     111 1   cos RADIANS  lat                             lat - 10   111 1                           mypoint       or  in MySQL 5 1 and above       SELECT        FROM    table     WHERE   MBRContains                                           LineString                                                           Point                                        lon   10     111 1   COS RADIANS  lat                                          lat   10   111 1                                                                  Point                                        lon - 10     111 1   COS RADIANS  lat                                          lat - 10   111 1                                                                                         mypoint                         This will select all points approximately within the box   lat   - 10 km   lon   - 10km    This actually is not a box  but a spherical rectangle  latitude and longitude bound segment of the sphere  This may differ from a plain rectangle on the Franz Joseph Land  but quite close to it on most inhabited places    Apply additional filtering to select everything inside the circle  not the square  Possibly apply additional fine filtering to account for the big circle distance  for large distances

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set  latitude 53 754842  set  longitude -2 708077  set  radius 20   set  lng min    longitude -  radius abs cos radians  latitude   69   set  lng max    longitude    radius abs cos radians  latitude   69   set  lat min    latitude -   radius 69   set  lat max    latitude     radius 69    SELECT   FROM postcode WHERE  longitude BETWEEN  lng min AND  lng max  AND  latitude BETWEEN  lat min and  lat max     source

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objectQuery    SELECT table master      acos sin       latitude     pi   180     sin   latitude  pi   180   cos       latitude     pi   180     cos   latitude  pi   180     cos        longitude    -  longtude    pi   180     180 pi    60 1 1515  as distance FROM  table post broadcasts  JOIN table master ON table post broadcasts master id   table master id WHERE table master type of post   type  HAVING distance  lt        Radius      ORDER BY distance asc

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A MySQL function which returns the number of metres between the two coordinates   CREATE FUNCTION DISTANCE BETWEEN  lat1 DOUBLE  lon1 DOUBLE  lat2 DOUBLE  lon2 DOUBLE  RETURNS DOUBLE DETERMINISTIC RETURN ACOS  SIN lat1 PI   180  SIN lat2 PI   180    COS lat1 PI   180  COS lat2 PI   180  COS lon2 PI   180-lon1 PI   180      6371000   To return the value in a different format  replace the 6371000 in the function with the radius of Earth in your choice of unit  For example  kilometres would be 6371 and miles would be 3959   To use the function  just call it as you would any other function in MySQL  For example  if you had a table city  you could find the distance between every city to every other city   SELECT      city1   name        city2   name       ROUND DISTANCE BETWEEN  city1   latitude    city1   longitude    city2   latitude    city2   longitude    AS  distance  FROM      city  AS  city1  JOIN      city  AS  city2

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Have a read of Geo Distance Search with MySQL  a solution  based on implementation of Haversine Formula to MySQL  This is a complete solution  description with theory  implementation and further performance optimization   Although the spatial optimization part didn t work correctly in my case    I noticed two mistakes in this     the use of abs in the select statement on p8   I just omitted abs and it worked  the spatial search distance function on p27 does not convert to radians or multiply longitude by cos latitude   unless his spatial data is loaded with this in consideration  cannot tell from context of article   but his example on p26 indicates that his spatial data POINT is not loaded with radians or degrees

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I needed to solve similar problem  filtering rows by distance from single point  and by combining original question with answers and comments  I came up with solution which perfectly works for me on both MySQL 5 6 and 5 7    SELECT              6371   ACOS COS RADIANS 56 946285     COS RADIANS Y coordinates           COS RADIANS X coordinates   - RADIANS 24 105078     SIN RADIANS 56 946285         SIN RADIANS Y coordinates      AS distance FROM places WHERE MBRContains           LineString                   Point               24 105078   15    111 320   COS RADIANS 56 946285                 56 946285   15   111 133                    Point               24 105078 - 15    111 320   COS RADIANS 56 946285                 56 946285 - 15   111 133                      coordinates       HAVING distance  lt  15 ORDER By distance   coordinates is field with type POINT and has SPATIAL index 6371 is for calculating distance in kilometres 56 946285 is latitude for central point 24 105078 is longitude for central point 15 is maximum distance in kilometers    In my tests  MySQL uses SPATIAL index on coordinates field to quickly select all rows which are within rectangle and then calculates actual distance for all filtered places to exclude places from rectangles corners and leave only places inside circle   This is visualisation of my result     Gray stars visualise all points on map  yellow stars are ones returned by MySQL query  Gray stars inside corners of rectangle  but outside circle  were selected by MBRContains   and then deselected by HAVING clause

[mysql] Fastest Way to Find Distance Between Two Lat/Long Points

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