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POHow to store 800 billion GPS markers in database
 

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  1. POHow to store 800 billion GPS markers in database
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    <p>I need to store GPS tracks that users record into a database. The tracks will consist of a marker every 5 meter of movement for the purpose of drawing a line on a map. I am estimating 200 km tracks which means 40,000 lnlt markers. I estimate 50,000 users minimum and 20 pieces of 200 km tracks for each. That means at least 40 billion lnlt markers. </p> <p>This needs to scale too, so for 1 million users I need capacity for 800 billion GPS markers.</p> <p>Since each set of 40,000 markers belong to a single track, we are talking 1 - 20 million records/sets of GPS tracks.</p> <p>Requirements: Users will request to view these tracks on top of a Google map in a mobile application.</p> <p>Relations: I currently have 2 tables. Table one has:[trackid], [userid], [comment], [distance], [time], [top speed]. </p> <p>Table 2 has [trackid] [longitude] [latitude] and this is where all GPS markers are stored. What is an efficient way of storing this volume of GPS data while maintaining read performance?</p> <p>New information:</p> <p>Storing the GPS data in a KML file for the purpose of displaying them as a track on top of a Google map is a good solution that saves database space. Compressing the KML into a KMZ (basically a zipped KML wit a KMZ extension) greatly reduces file size further. KMZ loads much quicker than GPX and can be integrated with the Google Maps API as a KML layer. <a href="https://developers.google.com/maps/documentation/javascript/layers#KMLLayers" rel="noreferrer">See this information from Google</a> for further assistance. This seems to be the best solution so far for the intended requirement.</p>
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    1. COYou can even store it in a flat files, one marker has fixed length, so you can seek the file easily.
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      1. USAndrey
    2. COI'm not sure that product recommendations are on-topic or constructive per the guidelines of the site... But it sounds like this is highly normalized data. Any good RDBMS should work.
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    3. COcan you compress these into say a B-SPLINE for the track?
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      1. USRandy
 

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