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Editorial Team
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Editorial Team
Asked: May 11, 20262026-05-11T21:36:33+00:00 2026-05-11T21:36:33+00:00

I have a mysql database table that will store locations for buildings and events

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I have a mysql database table that will store locations for buildings and events and a few other things. All locations are stored in one table, and linked to buildings, events etc through their own many to many table. That way I can just display dots on a map, and also allow filtering etc.

However the problem comes with some things having a single location so 1 lat,long but some like a track has a number of lat long positions, and something like a large stadium might have a polygon over it. These are also stored as a list of lat,longs with the first and last being the same.

Im wondering how I should store this in the mysql db though. Originally I just had a column for lat, long and id for the lookup table. Should I have ANOTHER lookup table for the co-ordinates or serialise the data before putting it into the DB in some way or should I just store the whole string in one field
lat1,long1
lat1,long1;lat2,long2;lat1,long1

Any suggestions?

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  1. Editorial Team
    Editorial Team
    2026-05-11T21:36:33+00:00Added an answer on May 11, 2026 at 9:36 pm

    I wouldn’t de-normalize the data from the start, by pushing a whole “serialized” polygon into a single field.

    Rather, I’d have a Polygons table (with polygon ID and possibly auxiliary per-polygon info, such as whether it’s an actual closed polygon or just a polyline — though that might alternatively be represented in the following table by having the last point equal to the first one for a certain polygon), and a PointsInPolygon table (with coordinates of the point, polygon ID foreign key, vertex number within polygon — the latter two jointly being unique).

    Normalization will make (as usual) your life much simpler for ad-hoc queries (including in this case “polygons near X”, point in polygon, etc). Again as usual, you can later add redundant denormalized values if and when you determine that some specific query really needs to get optimized (at some cost to table updates, integrity checks, etc). Geodata are not all that different from other kinds in this regard.

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