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  1. 8 lis 2021 · MySQL can use every part of an index provided it's an equality check instead of a range, or provided that the range is the last column in the index. We're going to take advantage of that by changing our between (range) query to a where in (multiple equality) query.

  2. 14 mar 2010 · create table distance ( position1_id int, position2_id int, distance int -- probably precise enough ) with an index on position1_id and distance. The table would have anywhere from a 10^6 to 10^8 rows, but using index data, I imagine you could quickly retrieve the nearest position2_id.

  3. 25 sty 2024 · To calculate the distance between two points, you can use the ST_Distance_Sphere function, which returns the minimum spherical distance between two points on a sphere in meters.

  4. 25 sty 2024 · The purpose of this tutorial is to explore the mechanisms provided by MySQL 8 to correctly store, index, and query geographic location coordinates, specifically latitude and longitude. Getting Started with Geospatial Data

  5. 25 sty 2024 · MySQL's capabilities revolve around three core geospatial object types: points, paths, and polygons. In MySQL, spatial data types store geometry and geography values in the table column. Both single-geometry and multi-geometry types are supported.

  6. MySQL uses indexes for these operations: To find the rows matching a WHERE clause quickly. To eliminate rows from consideration. If there is a choice between multiple indexes, MySQL normally uses the index that finds the smallest number of rows (the most selective index).

  7. If you're working in MySQL 5.7+ and need to find distances, remember to reach for ST_Distance_Sphere first. Even if it may not always be the right fit for your code, it's an easy—and powerful—way to get, and query against, real-world distances across the face of the Earth.

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