fnchooft

# for setting history length see HISTSIZE and HISTFILESIZE in bash(1)
HISTSIZE=100000
HISTFILESIZE=200000

function h() {
    if [ -z "$1" ]
    then
        history
    else
        history | grep "$@"

fnchooft

alias l='ls -CF'
alias o='gvfs-open'
alias v='ls -lh'
alias vv="du --max-depth=1 -k | sort -nr | cut -f2 | xargs -d '\n' du -sh"
alias ducks='du -ck | sort -nr | head'
alias nocomment='grep -Ev '\''^(#|$)'\'''

fnchooft

alias.lol=log --oneline --decorate --all --graph --date-orde
alias.lo=log --oneline --decorate  --graph --date-order
merge.tool=meld
diff.tool=meld
diff.guitool=meld
#GIT
PS1='[${debian_chroot:+($debian_chroot)}\[\033[01;32m\]\u@\h\[\033[00m\] \[\033[01;34m\]\W\[\033[00m\]$(__git_ps1)]\$ '
export GIT_PS1_SHOWDIRTYSTATE=1
export GIT_PS1_SHOWUNTRACKEDFILES=1
export GIT_PS1_SHOWUPSTREAM=1

fnchooft

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.

fnchooft

--EVAL 'this script' 1 some-key
local key = KEYS[1];
local value = redis.call('GET', key);
local jvalue = cjson.encode(cmsgpack.unpack(value));
return jvalue;