Current [semantic](http://semver.org/) version: ```clojure [com.taoensso/timbre "1.4.0"] ``` # Timbre, a (sane) Clojure logging & profiling library Logging with Java can be maddeningly, unnecessarily hard. Particularly if all you want is something *simple that works out-the-box*. [tools.logging](https://github.com/clojure/tools.logging) helps, but it doesn't save you from the mess of logger dependencies and configuration hell. Timbre is an attempt to make **simple logging simple** and more **complex logging reasonable**. No XML! ## What's In The Box? * Small, uncomplicated **all-Clojure** library. * **Super-simple map-based config**: no arcane XML or properties files! * **Decent performance** (low overhead). * Flexible **fn-centric appender model** with **middleware**. * Sensible built-in appenders including simple **email appender**. * Tunable **flood control** and **asynchronous** logging support. * Robust **namespace filtering**. * Dead-simple, logging-level-aware **logging profiler**. ## Getting Started ### Leiningen Depend on Timbre in your `project.clj`: ```clojure [com.taoensso/timbre "1.4.0"] ``` and `use` the library: ```clojure (ns my-app (:use [taoensso.timbre :as timbre :only (trace debug info warn error fatal spy)])) ``` ### Logging By default, Timbre gives you basic print output to `*out*`/`*err*` at a `debug` logging level: ```clojure (info "This will print") => nil %> 2012-May-28 17:26:11:444 +0700 localhost INFO [my-app] - This will print (spy :info (* 5 4 3 2 1)) => 120 %> 2012-May-28 17:26:14:138 +0700 localhost INFO [my-app] - (* 5 4 3 2 1) 120 (trace "This won't print due to insufficient logging level") => nil ``` There's little overhead for checking logging levels: ```clojure (time (trace (Thread/sleep 5000))) %> "Elapsed time: 0.054 msecs" (time (when true)) %> "Elapsed time: 0.051 msecs" ``` First-argument exceptions generate a stack trace: ```clojure (info (Exception. "Oh noes") "arg1" "arg2") %> 2012-May-28 17:35:16:132 +0700 localhost INFO [my-app] - arg1 arg2 java.lang.Exception: Oh noes NO_SOURCE_FILE:1 my-app/eval6409 Compiler.java:6511 clojure.lang.Compiler.eval <...> ``` ### Configuration Configuring Timbre couldn't be simpler. Let's check out (some of) the defaults: ```clojure @timbre/config => {:current-level :debug :ns-whitelist [] :ns-blacklist [] :middleware [] ; As of 1.4.0, see source code :timestamp-pattern "yyyy-MMM-dd HH:mm:ss ZZ" :timestamp-locale nil :appenders {:standard-out { <...> } :spit { <...> } <...> } :shared-appender-config {}} ``` Easily adjust the current logging level: ```clojure (timbre/set-level! :warn) ``` And the default timestamp formatting for log messages: ```clojure (timbre/set-config! [:timestamp-pattern] "yyyy-MMM-dd HH:mm:ss ZZ") (timbre/set-config! [:timestamp-locale] (java.util.Locale/GERMAN)) ``` Filter logging output by namespaces: ```clojure (timbre/set-config! [:ns-whitelist] ["some.library.core" "my-app.*"]) ``` ### Email Appender To enable the standard [Postal](https://github.com/drewr/postal)-based email appender, add the Postal dependency to your `project.clj`: ```clojure [com.draines/postal "1.9.1"] ``` And add the appender to your `ns` declaration: ```clojure (:require [taoensso.timbre.appenders (postal :as postal-appender)]) ``` Then adjust your Timbre config: ```clojure (timbre/set-config! [:appenders :postal] postal-appender/postal-appender) (timbre/set-config! [:shared-appender-config :postal] ^{:host "mail.isp.net" :user "jsmith" :pass "sekrat!!1"} {:from "me@draines.com" :to "foo@example.com"}) ``` Rate-limit to one email per message per minute: ```clojure (timbre/set-config! [:appenders :postal :max-message-per-msecs] 60000) ``` And make sure emails are sent asynchronously: ```clojure (timbre/set-config! [:appenders :postal :async?] true) ``` ### Custom Appenders Writing a custom appender is dead-easy: ```clojure (timbre/set-config! [:appenders :my-appender] {:doc "Hello-world appender" :min-level :debug :enabled? true :async? false :max-message-per-msecs nil ; No rate limiting :fn (fn [{:keys [ap-config level prefix message more] :as args}] (when-not (:my-production-mode? ap-config) (apply println prefix "Hello world!" message more))) ``` And because appender fns are just regular Clojure fns, you have *unlimited power*: write to your database, send a message over the network, check some other state (e.g. environment config) before making a choice, etc. See the `timbre/config` docstring for more information on appenders. ## Profiling The usual recommendation for Clojure profiling is: use a good **JVM profiler** like [YourKit](http://www.yourkit.com/), [JProfiler](http://www.ej-technologies.com/products/jprofiler/overview.html), or [VisualVM](http://docs.oracle.com/javase/6/docs/technotes/guides/visualvm/index.html). And these certainly do the job. But as with many Java tools, they can be a little hairy and often heavy-handed - especially when applied to Clojure. Timbre includes an alternative. Let's add it to our app's `ns` declaration: ```clojure (:use [taoensso.timbre.profiling :as profiling :only (p profile)]) ``` Wrap forms that you'd like to profile with the `p` macro and give them a name: ```clojure (defn my-fn [] (let [nums (vec (range 1000))] (+ (p :fast-sleep (Thread/sleep 1) 10) (p :slow-sleep (Thread/sleep 2) 32) (p :add (reduce + nums)) (p :sub (reduce - nums)) (p :mult (reduce * nums)) (p :div (reduce / nums))))) (my-fn) => 42 ``` The `profile` macro can now be used to log times for any wrapped forms: ```clojure (profile :info :Arithmetic (dotimes [n 100] (my-fn))) => "Done!" %> 2012-Jul-03 20:46:17 +0700 localhost INFO [my-app] - Profiling my-app/Arithmetic Name Calls Min Max MAD Mean Total% Total my-app/slow-sleep 100 2ms 2ms 31μs 2ms 57 231ms my-app/fast-sleep 100 1ms 1ms 27μs 1ms 29 118ms my-app/add 100 44μs 2ms 46μs 100μs 2 10ms my-app/sub 100 42μs 564μs 26μs 72μs 2 7ms my-app/div 100 54μs 191μs 17μs 71μs 2 7ms my-app/mult 100 31μs 165μs 11μs 44μs 1 4ms Unaccounted 6 26ms Total 100 405ms ``` It's important to note that Timbre profiling is fully **logging-level aware**: if the level is insufficient, you *won't pay for profiling*. Likewise, normal namespace filtering applies. (Performance characteristics for both checks are inherited from Timbre itself). And since `p` and `profile` **always return their body's result** regardless of whether profiling actually happens or not, it becomes feasible to use profiling more often as part of your normal workflow: just *leave profiling code in production as you do for logging code*. A simple **sampling profiler** is also available: `taoensso.timbre.profiling/sampling-profile`. ## Timbre Supports the ClojureWerkz and CDS Project Goals ClojureWerkz is a growing collection of open-source, batteries-included [Clojure libraries](http://clojurewerkz.org/) that emphasise modern targets, great documentation, and thorough testing. CDS (Clojure Documentation Site) is a contributor-friendly community project aimed at producing top-notch [Clojure tutorials](http://clojure-doc.org/) and documentation. ## Contact & Contribution Reach me (Peter Taoussanis) at [taoensso.com](https://www.taoensso.com) for questions/comments/suggestions/whatever. I'm very open to ideas if you have any! I'm also on Twitter: [@ptaoussanis](https://twitter.com/#!/ptaoussanis). ## License Copyright © 2012 Peter Taoussanis. Distributed under the [Eclipse Public License](http://www.eclipse.org/legal/epl-v10.html), the same as Clojure.