A Clojure library designed to store time-series oriented metrics.
Main idea is to provide a standard API to track and query counters, histograms and other metrics, independently of the storage used.
Support for Postgres
and Cassandra
will be added.
Intended to be useful as a side-companion to Datomic if you need to keep track of mutable trends using the same backend.
####Facts
Anything you need to keep track of, count or aggregate.
Can be discrete events such as conversions
or visits
, or events
with a magnitude, such as conversion-time
.
##Dimensions
Any category you want your facts to be categorized, grouped or filtered by.
Usually named values such as country
, operating-system
,
referral
, etc.
Work in progress. should be moved to the protocol api samples
(def db-spec (or (System/getenv "DATABASE_URL")
"postgresql://postgres:postgres@localhost:5432/timeseries"))
(require '[time-series-storage.api :as api])
(require '[time-series-storage.postgres :as p])
(import '[time_series_storage.postgres Postgres])
(def service (Postgres. db-spec))
(t/define-fact service ...)
(api/init-schema! service)
;;create-counter
(api/define-fact! service :registros :counter 15 {:name "Cantidad de registros"
:filler 0
:units "counter"})
;;create-average
(api/define-fact! service :avg_time :average 15 {:name "Tiempo promedio"
:filler 0
:units "seconds"})
;;create-histogram
(api/define-fact! service :time-distr :histogram 15 {:name "Histograma de tiempo"
:filler 0
:units "seconds"
:start 0
:end 1000
:step 100})
;;
(api/define-dimension! service :company {:group_only true :name "Compania"})
(api/define-dimension! service :campaign {:grouped_by [[:company]] :name "Campania"})
(api/define-dimension! service :channel {:grouped_by [[:company :campaign]] :name "Canal"})
(api/define-dimension! service :dependency {:name "Dependencia de Correo"})
(api/define-dimension! service :dependency_user {:grouped_by [[:dependency]] :name "Usuario"})
(api/new-fact! service :registros 1 {:dependency "32" :dependency_user "juanele"})
(api/new-fact! service :registros 2 {:dependency "35" :dependency_user "pepe"})
(api/get-timeseries service
:registros
:dependency
{:dependency "32"}
#inst "2012-01-01"
#inst "2020-01-01")
;; => ({:counter 1, :dependency "32", :timestamp "20141121T134500.000Z"})
(api/get-timeseries service
:registros
:dependency
{:dependency "35"}
#inst "2012-01-01"
#inst "2020-01-01")
;; => ({:counter 2, :dependency "35", :timestamp "20141121T134500.000Z"}
(api/get-timeseries service
:registros
:dependency
{}
#inst "2012-01-01"
#inst "2020-01-01")
;; => ({:counter 1, :dependency "32", :timestamp "20141121T134500.000Z"} {:counter 2, :dependency "35", :timestamp "20141121T134500.000Z"})
(api/new-fact! service :avg_time 15 {:company "bbva" :campaign "ventas" :channel "web"})
(api/new-fact! service :avg_time 15 {:company "bbva" :campaign "ventas" :channel "mail"})
(api/get-timeseries service
:avg_time
:campaign
{:company "bbva" :campaign "ventas"}
(tcoerce/from-date #inst "2012-01-01")
(tcoerce/from-date #inst "2020-01-01"))
(api/get-timeseries service
:avg_time
:channel
{:company "bbva" :campaign "ventas" :channel "web"}
(tcoerce/from-date #inst "2012-01-01")
(tcoerce/from-date #inst "2020-01-01"))
Copyright © 2014 Guillermo Winkler
Distributed under the Eclipse Public License either version 1.0 or (at your option) any later version.
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