thomasdarimont

Running statistics with Redis and Lua

This is an example for computing running statistics with Lua backed by a hash in Redis. We support counting, average (with and without exponential smoothing), stddev, variance, min, max, sum of observed values. An example for approximating a running median can be found here: https://gist.github.com/thomasdarimont/fff68191d45a001b2d84

Data structure

We use a hash for storing various statistic value under the key "stats_value" in redis. Note: If you need a specific alpha value for smoothing the average, then set the desired alpha -> e.g. alpha 0.7. If alpha is 0.0 then no smoothing is applied.

kikito

local s = require("say")

local function contains(container, contained)
  if container == contained then return true end
  local t1,t2 = type(container), type(contained)
  if t1 ~= t2 then return false end

  if t1 == 'table' then
    for k,v in pairs(contained) do
      if not contains(container[k], v) then return false end