mirror of https://github.com/status-im/timbre.git
288 lines
13 KiB
Markdown
288 lines
13 KiB
Markdown
**[API docs][]** | **[CHANGELOG][]** | [other Clojure libs][] | [Twitter][] | [contact/contrib](#contact--contributing) | current [Break Version][]:
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```clojure
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[com.taoensso/timbre "3.4.0"] ; Stable
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[com.taoensso/timbre "4.0.0-beta1"] ; BREAKING, please see CHANGELOG for details
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```
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# Timbre, a (sane) Clojure/Script logging & profiling library
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Java logging is a tragic comedy of crazy, unnecessary complexity that buys you _nothing_. It can be maddeningly, unnecessarily hard to get even the simplest logging working. We can do **so** much better with Clojure/Script.
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Timbre brings functional, Clojure-y goodness to all your logging needs. It's fast, deeply flexible, and easy to configure. **No XML**!
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## What's in the box™?
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* Full **Clojure** + **ClojureScript** support (v4+)
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* No XML or properties files. **One config map**, and you're set
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* Deeply flexible **fn appender model** with **middleware**
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* **Fantastic performance** at any scale
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* Filter logging by levels and **namespace whitelist/blacklist patterns**
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* **Zero overhead** with **complete Clj+Cljs elision** for compile-time level/ns filters
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* Useful built-in appenders for **out-the-box** Clj+Cljs logging
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* Powerful, easy-to-configure per-appender **rate limits** and **async logging**
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* [Logs as Clojure values](#redis-carmine-appender-v3) (v3+)
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* [tools.logging](https://github.com/clojure/tools.logging) support (optional, useful when integrating with legacy logging systems)
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* Level and ns-filter aware **logging profiler**
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* Tiny, **simple**, cross-platform codebase
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## 3rd-party tools, appenders, etc.
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* [log-config](https://github.com/palletops/log-config) by [Hugo Duncan](https://github.com/hugoduncan) - library to help manage Timbre logging config.
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* Other suggestions welcome!
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## Getting started
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### Dependencies
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Add the necessary dependency to your [Leiningen][] `project.clj` and use the supplied ns-import helper:
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```clojure
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[com.taoensso/timbre "4.0.0-beta1"] ; Add to your project.clj :dependencies
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(ns my-app ; Your ns
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(:require [taoensso.timbre :as timbre
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:refer (log trace debug info warn error fatal report
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logf tracef debugf infof warnf errorf fatalf reportf
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spy)]
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;; Clj only:
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[taoensso.timbre.profiling :as profiling
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:refer (pspy pspy* profile defnp p p*)]))
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```
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You can also use `timbre/refer-timbre` to setup these ns refers automatically (Clj only).
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### Logging
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By default, Timbre gives you basic print stream or `js/console` (v4+) output at a `debug` log level:
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```clojure
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(info "This will print") => nil
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%> 2012-May-28 17:26:11:444 +0700 localhost INFO [my-app] - This will print
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(spy :info (* 5 4 3 2 1)) => 120
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%> 2012-May-28 17:26:14:138 +0700 localhost INFO [my-app] - (* 5 4 3 2 1) 120
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(trace "This won't print due to insufficient log level") => nil
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```
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First-argument exceptions generate a nicely cleaned-up stack trace using [io.aviso.exception](https://github.com/AvisoNovate/pretty) (Clj only):
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```clojure
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(info (Exception. "Oh noes") "arg1" "arg2")
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%> 2012-May-28 17:35:16:132 +0700 localhost INFO [my-app] - arg1 arg2
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java.lang.Exception: Oh noes
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NO_SOURCE_FILE:1 my-app/eval6409
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Compiler.java:6511 clojure.lang.Compiler.eval
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<...>
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```
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### Configuration
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This is the biggest win over Java logging IMO. Here's `timbre/example-config` (also Timbre's default config):
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> The example below shows config for **Timbre v4**. See [here](https://github.com/ptaoussanis/timbre/tree/v3.4.0#configuration) for an example of **Timbre v3** config.
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```clojure
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(def example-config
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"Example (+default) Timbre v4 config map.
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APPENDERS
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*** Please see the `taoensso.timbre.appenders.example-appender` ns if you
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plan to write your own Timbre appender ***
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An appender is a map with keys:
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:doc ; Optional docstring
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:min-level ; Level keyword, or nil (=> no minimum level)
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:enabled? ;
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:async? ; Dispatch using agent? Useful for slow appenders
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:rate-limit ; [[ncalls-limit window-ms] <...>], or nil
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:opts ; Any appender-specific opts
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:fn ; (fn [data-map]), with keys described below
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An appender's fn takes a single data map with keys:
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:config ; Entire config map (this map, etc.)
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:appender-id ; Id of appender currently dispatching
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:appender ; Entire map of appender currently dispatching
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:appender-opts ; Duplicates (:opts <appender-map>) for convenience
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:instant ; Platform date (java.util.Date or js/Date)
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:level ; Keyword
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:error-level? ; Is level e/o #{:error :fatal}?
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:?ns-str ; String, or nil
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:?file ; String, or nil ; Waiting on CLJ-865
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:?line ; Integer, or nil ; Waiting on CLJ-865
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:?err_ ; Delay - first-arg platform error, or nil
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:vargs_ ; Delay - raw args vector
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:hostname_ ; Delay - string (clj only)
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:msg_ ; Delay - args string
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:timestamp_ ; Delay - string
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:output-fn ; (fn [data & [opts]]) -> formatted output string
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:profile-stats ; From `profile` macro
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<Also incl. any *context* keys, which get merged into data map>
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MIDDLEWARE
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Middleware are simple (fn [data]) -> ?data fns (applied left->right) that
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transform the data map dispatched to appender fns. If any middleware returns
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nil, NO dispatching will occur (i.e. the event will be filtered).
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The `example-config` source code contains further settings and details.
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See also `set-config!`, `merge-config!`, `set-level!`."
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{:level :debug ; e/o #{:trace :debug :info :warn :error :fatal :report}
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;; Control log filtering by namespaces/patterns. Useful for turning off
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;; logging in noisy libraries, etc.:
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:ns-whitelist [] #_["my-app.foo-ns"]
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:ns-blacklist [] #_["taoensso.*"]
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:middleware [] ; (fns [data]) -> ?data, applied left->right
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:appenders
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{:simple-println ; Appender id
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;; Appender definition (just a map):
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{:min-level nil :enabled? true :async? false
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:rate-limit [[1 250] [10 5000]] ; 1/250ms, 10/5s
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:fn ; Appender's fn
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(fn [data]
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(let [{:keys [output-fn]} data
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formatted-output-str (output-fn data)]
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(println formatted-output-str)))}}})
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```
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A few things to note:
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* 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.
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* 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.
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The **log level** may be set:
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* At compile-time: (`TIMBRE_LEVEL` environment variable).
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* Statically using: `timbre/set-level!`/`timbre/merge-level!`.
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* Dynamically using: `timbre/with-level`.
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There are also variants of the logging utils that take explicit config args.
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### Built-in appenders
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#### Redis ([Carmine](https://github.com/ptaoussanis/carmine)) appender (v3+)
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```clojure
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;; [com.taoensso/carmine "2.10.0"] ; Add to project.clj deps
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;; (:require [taoensso.timbre.appenders (carmine :as car-appender)]) ; Add to ns
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(timbre/merge-config! {:appenders {:carmine (car-appender/make-appender)}})
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```
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This gives us a high-performance Redis appender:
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* **All raw logging args are preserved** in serialized form (**even errors!**).
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* Only the most recent instance of each **unique entry** is kept (hash fn used to determine uniqueness is configurable).
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* Configurable number of entries to keep per log level.
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* **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, stick into or query with **Datomic**, etc.
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A simple query utility is provided: `car-appender/query-entries`.
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#### Email ([Postal](https://github.com/drewr/postal)) appender
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```clojure
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;; [com.draines/postal "1.11.3"] ; Add to project.clj deps
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;; (:require [taoensso.timbre.appenders (postal :as postal-appender)]) ; Add to ns
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(timbre/merge-config!
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{:appenders {:postal
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(postal-appender/make-appender {}
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{:postal-config
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^{:host "mail.isp.net" :user "jsmith" :pass "sekrat!!1"}
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{:from "me@draines.com" :to "foo@example.com"}})}})
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```
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#### File appender
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```clojure
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(timbre/merge-config!
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{:appenders {:spit {:enabled? true :opts {:spit-finame "/path/my-file.log"}}}})
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```
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#### Other included appenders
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A number of 3rd-party appenders are included out-the-box [here](https://github.com/ptaoussanis/timbre/tree/master/src/taoensso/timbre/appenders/3rd_party). **Please see the relevant docstring for details**. Thank you to the respective authors! Just give me a shout if you've got an appender you'd like to have added.
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## Profiling (currently Clj only)
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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).
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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.
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Wrap forms that you'd like to profile with the `p` macro and give them a name:
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```clojure
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(defn my-fn
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[]
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(let [nums (vec (range 1000))]
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(+ (p :fast-sleep (Thread/sleep 1) 10)
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(p :slow-sleep (Thread/sleep 2) 32)
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(p :add (reduce + nums))
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(p :sub (reduce - nums))
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(p :mult (reduce * nums))
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(p :div (reduce / nums)))))
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(my-fn) => 42
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```
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The `profile` macro can now be used to log times for any wrapped forms:
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```clojure
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(profile :info :Arithmetic (dotimes [n 100] (my-fn))) => "Done!"
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%> 2012-Jul-03 20:46:17 +0700 localhost INFO [my-app] - Profiling my-app/Arithmetic
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Name Calls Min Max MAD Mean Total% Total
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my-app/slow-sleep 100 2ms 2ms 31μs 2ms 57 231ms
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my-app/fast-sleep 100 1ms 1ms 27μs 1ms 29 118ms
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my-app/add 100 44μs 2ms 46μs 100μs 2 10ms
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my-app/sub 100 42μs 564μs 26μs 72μs 2 7ms
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my-app/div 100 54μs 191μs 17μs 71μs 2 7ms
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my-app/mult 100 31μs 165μs 11μs 44μs 1 4ms
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Unaccounted 6 26ms
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Total 100 405ms
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```
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You can also use the `defnp` macro to conveniently wrap whole fns.
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Timbre profiling is fully **log level & ns filter aware**: if the level is insufficient or ns filtered, you **won't pay for profiling**.
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And since `p` and `profile` **always return their body's result**, it becomes feasible to use profiling more often as part of your normal workflow: just *leave profiling code in production as you do logging code*.
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A simple sampling profiler is also included.
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## This project supports the CDS and ![ClojureWerkz](https://raw.github.com/clojurewerkz/clojurewerkz.org/master/assets/images/logos/clojurewerkz_long_h_50.png) goals
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* [CDS][], the **Clojure Documentation Site**, is a **contributer-friendly** community project aimed at producing top-notch, **beginner-friendly** Clojure tutorials and documentation. Awesome resource.
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* [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!
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## Contact & contributing
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`lein start-dev` to get a (headless) development repl that you can connect to with [Cider][] (Emacs) or your IDE.
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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!
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Otherwise reach me (Peter Taoussanis) at [taoensso.com][] or on [Twitter][]. Cheers!
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## License
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Copyright © 2012-2015 Peter Taoussanis. Distributed under the [Eclipse Public License][], the same as Clojure.
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[API docs]: http://ptaoussanis.github.io/timbre/
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[CHANGELOG]: https://github.com/ptaoussanis/timbre/releases
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[other Clojure libs]: https://www.taoensso.com/clojure
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[taoensso.com]: https://www.taoensso.com
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[Twitter]: https://twitter.com/ptaoussanis
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[issues page]: https://github.com/ptaoussanis/timbre/issues
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[commit history]: https://github.com/ptaoussanis/timbre/commits/master
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[Break Version]: https://github.com/ptaoussanis/encore/blob/master/BREAK-VERSIONING.md
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[Leiningen]: http://leiningen.org/
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[Cider]: https://github.com/clojure-emacs/cider
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[CDS]: http://clojure-doc.org/
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[ClojureWerkz]: http://clojurewerkz.org/
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[Eclipse Public License]: https://raw2.github.com/ptaoussanis/timbre/master/LICENSE |