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README.md
API docs | CHANGELOG | other Clojure libs | Twitter | contact/contrib | current Break Version:
[com.taoensso/timbre "3.4.0"]
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. Timbre brings functional, Clojure-y goodness to all your logging needs. No XML!
What's in the box™?
- Logs as Clojure values (v3+).
- Small, uncomplicated all-Clojure library.
- Super-simple map-based config: no arcane XML or properties files!
- Low overhead with dynamic logging level.
- No overhead with compile-time logging level. (v2.6+)
- Flexible fn-centric appender model with middleware.
- Sensible built-in appenders including simple email appender.
- Tunable rate limit and asynchronous logging support.
- Robust namespace filtering.
- tools.logging support (optional, useful when integrating with legacy logging systems).
- Dead-simple, logging-level-aware logging profiler.
3rd-party tools, appenders, etc.
- log-config by Hugo Duncan - library to help manage Timbre logging config.
- Suggestions welcome!
Getting started
Dependencies
Add the necessary dependency to your Leiningen project.clj
and use the supplied ns-import helper:
[com.taoensso/timbre "3.4.0"] ; project.clj
(ns my-app (:require [taoensso.timbre :as timbre])) ; Your ns
(timbre/refer-timbre) ; Provides useful Timbre aliases in this ns
The refer-timbre
call is a convenience fn that executes:
(require '[taoensso.timbre :as timbre
:refer (log trace debug info warn error fatal report
logf tracef debugf infof warnf errorf fatalf reportf
spy logged-future with-log-level with-logging-config
sometimes)])
(require '[taoensso.timbre.profiling :as profiling
:refer (pspy pspy* profile defnp p p*)])
Logging
By default, Timbre gives you basic print output to *out*
/*err*
at a debug
logging level:
(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
First-argument exceptions generate a nicely cleaned-up stack trace using io.aviso.exception:
(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
This is the biggest win over Java logging utilities IMO. Here's timbre/example-config
(also Timbre's default config):
(def example-config
"APPENDERS
An appender is a map with keys:
:doc ; (Optional) string.
:min-level ; (Optional) keyword, or nil (no minimum level).
:enabled? ; (Optional).
:async? ; (Optional) dispatch using agent (good for slow appenders).
:rate-limit ; (Optional) [ncalls-limit window-ms].
:fmt-output-opts ; (Optional) extra opts passed to `fmt-output-fn`.
:fn ; (fn [appender-args-map]), with keys described below.
An appender's fn takes a single map with keys:
:level ; Keyword.
:error? ; Is level an 'error' level?.
:throwable ; java.lang.Throwable.
:args ; Raw logging macro args (as given to `info`, etc.).
:message ; Stringified logging macro args, or nil.
:output ; Output of `fmt-output-fn`, used by built-in appenders
; as final, formatted appender output. Appenders may (but
; are not obligated to) use this as their output.
:ap-config ; Contents of config's :shared-appender-config key.
:profile-stats ; From `profile` macro.
:instant ; java.util.Date.
:timestamp ; String generated from :timestamp-pattern, :timestamp-locale.
:hostname ; String.
:ns ; String.
;; Waiting on http://dev.clojure.org/jira/browse/CLJ-865:
:file ; String.
:line ; Integer.
MIDDLEWARE
Middleware are fns (applied right-to-left) that transform the map
dispatched to appender fns. If any middleware returns nil, no dispatching
will occur (i.e. the event will be filtered).
The `example-config` code contains further settings and details.
See also `set-config!`, `merge-config!`, `set-level!`."
{;;; Control log filtering by namespace patterns (e.g. ["my-app.*"]).
;;; Useful for turning off logging in noisy libraries, etc.
:ns-whitelist []
:ns-blacklist []
;; Fns (applied right-to-left) to transform/filter appender fn args.
;; Useful for obfuscating credentials, pattern filtering, etc.
:middleware []
;;; Control :timestamp format
:timestamp-pattern "yyyy-MMM-dd HH:mm:ss ZZ" ; SimpleDateFormat pattern
:timestamp-locale nil ; A Locale object, or nil
;; Output formatter used by built-in appenders. Custom appenders may (but are
;; not required to use) its output (:output). Extra per-appender opts can be
;; supplied as an optional second (map) arg.
:fmt-output-fn
(fn [{:keys [level throwable message timestamp hostname ns]}
;; Any extra appender-specific opts:
& [{:keys [nofonts?] :as appender-fmt-output-opts}]]
;; <timestamp> <hostname> <LEVEL> [<ns>] - <message> <throwable>
(format "%s %s %s [%s] - %s%s"
timestamp hostname (-> level name str/upper-case) ns (or message "")
(or (stacktrace throwable "\n" (when nofonts? {})) "")))
:shared-appender-config {} ; Provided to all appenders via :ap-config key
:appenders
{:standard-out
{:doc "Prints to *out*/*err*. Enabled by default."
:min-level nil :enabled? true :async? false :rate-limit nil
:fn (fn [{:keys [error? output]}] ; Use any appender args
(binding [*out* (if error? *err* *out*)]
(str-println output)))}
:spit
{:doc "Spits to `(:spit-filename :shared-appender-config)` file."
:min-level nil :enabled? false :async? false :rate-limit nil
:fn (fn [{:keys [ap-config output]}] ; Use any appender args
(when-let [filename (:spit-filename ap-config)]
(try (spit filename output :append true)
(catch java.io.IOException _))))}}})
A few things to note:
- Appenders are trivial to write & configure - they're just fns. It's Timbre's job to dispatch useful args to appenders when appropriate, it's their job to do something interesting with them.
- Being 'just fns', appenders have basically limitless potential: write to your database, send a message over the network, check some other state (e.g. environment config) before making a choice, etc.
The logging level may be set:
- At compile-time: (
TIMBRE_LOG_LEVEL
environment variable). - Via an atom:
(timbre/set-level! <level>)
. (Usual method). - Via dynamic thread-level binding:
(timbre/with-log-level <level> ...)
.
A compile-time level offers zero-overhead performance since it'll cause insufficient logging calls to disappear completely at compile-time. Usually you won't need/want to bother: Timbre offers very decent performance with runtime level checks (~15msecs/10k checks on my Macbook Air).
For common-case ease-of-use, all logging utils use a global atom for their config. This is configurable with timbre/set-config!
, timbre/merge-config!
. The lower-level log
and logf
macros also take an optional first-arg config map for greater flexibility (e.g. during testing).
Built-in appenders
Redis (Carmine) appender (v3+)
;; [com.taoensso/carmine "2.4.0"] ; Add to project.clj deps
;; (:require [taoensso.timbre.appenders (carmine :as car-appender)]) ; Add to ns
(timbre/set-config! [:appenders :carmine] (car-appender/make-carmine-appender))
This gives us a high-performance Redis appender:
- All raw logging args are preserved in serialized form (even Throwables!).
- Only the most recent instance of each unique entry is kept (hash fn used to determine uniqueness is configurable).
- Configurable number of entries to keep per logging level.
- Log is just a value: a vector of Clojure maps: query+manipulate with standard seq fns: group-by hostname, sort/filter by ns & severity, explore exception stacktraces, filter by raw arguments, etc. Datomic and
core.logic
also offer interesting opportunities here.
A simple query utility is provided: car-appender/query-entries
.
Email (Postal) appender
;; [com.draines/postal "1.9.2"] ; Add to project.clj deps
;; (:require [taoensso.timbre.appenders (postal :as postal-appender)]) ; Add to ns
(timbre/set-config! [:appenders :postal]
(postal-appender/make-postal-appender
{:enabled? true
:rate-limit [1 60000] ; 1 msg / 60,000 msecs (1 min)
:async? true ; Don't block waiting for email to send
}
{:postal-config
^{:host "mail.isp.net" :user "jsmith" :pass "sekrat!!1"}
{:from "me@draines.com" :to "foo@example.com"}}))
File appender
(timbre/set-config! [:appenders :spit :enabled?] true)
(timbre/set-config! [:shared-appender-config :spit-filename] "/path/my-file.log")
Other included appenders
A number of 3rd-party appenders are included out-the-box for: Android, IRC, sockets, MongoDB, and rotating files. These are all located in the taoensso.timbre.appenders.x
namespaces - please see the relevant docstrings for details.
Thanks to their respective authors! Just give me a shout if you've got an appender you'd like to have added.
Profiling
The usual recommendation for Clojure profiling is: use a good JVM profiler like YourKit, JProfiler, or VisualVM.
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.
Wrap forms that you'd like to profile with the p
macro and give them a name:
(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:
(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
You can also use the defnp
macro to conveniently wrap whole fns.
It's important to note that Timbre profiling is fully logging-level aware: if the level is insufficient, you won't pay for profiling (there is a minimal dynamic-var deref cost). 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
.
This project supports the CDS and goals
-
CDS, the Clojure Documentation Site, is a contributer-friendly community project aimed at producing top-notch, beginner-friendly Clojure tutorials and documentation. Awesome resource.
-
ClojureWerkz is a growing collection of open-source, batteries-included Clojure libraries that emphasise modern targets, great documentation, and thorough testing. They've got a ton of great stuff, check 'em out!
Contact & contributing
lein start-dev
to get a (headless) development repl that you can connect to with Cider (Emacs) or your IDE.
Please use the project's GitHub issues page for project questions/comments/suggestions/whatever (pull requests welcome!). Am very open to ideas if you have any!
Otherwise reach me (Peter Taoussanis) at taoensso.com or on Twitter. Cheers!
License
Copyright © 2012-2014 Peter Taoussanis. Distributed under the Eclipse Public License, the same as Clojure.