Based on https://github.com/antirez/redimension

Redimension is a Redis multi-dimensional indexing and querying library implemented in order to index items in N-dimensions, and then asking for elements where each dimension is within the specified ranges.


import "github.com/songboyu/go-redimension"

Currently the library can index only unsigned integers of the specified precision. There are no precision limits, you can index integers composed of as much bits as you like: you specify the number of bits for each dimension in the constructor when creating a Redimension object.

An example usage in 2D is the following. Imagine you want to index persons by salary and age:

myindex = NewRedimension(redisCli, 2, 64)

We created a Redimension object specifying a Redis object that must respond to the Redis commands. We specified we want 2D indexing, and 64 bits of precision for each dimension. The first argument is the key name that will represent the index as a sorted set.

Now we can add elements to our index.

zkey, hkey := "test_zkey", "test_hkey"
r.Index(zkey, hkey, "aa", []uint32{45, 120000})
r.Index(zkey, hkey, "bb", []uint32{50, 110000})
r.Index(zkey, hkey, "cc", []uint32{30, 125000})

The index method takes an array of integers representing the value of each dimension for the item, and an item name that will be returned when asking for ranges during the query stage.

Querying is simple. In the following query we ask for all the people with age between 40 and 50, and salary between 100000 and 115000.

vrange := make([][]uint32, 0)
vrange = append(vrange, []uint32{40, 50})
vrange = append(vrange, []uint32{100000, 115000})
res, err := r.Query(zkey, vrange)

Ranges are always inclusive. Not a big problem since currently we can only index integers so just increment/decrement to exclude a given value.


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