CHANGELOG | API | current Break Version:
[com.taoensso/nippy "2.14.0"] ; Stable
[com.taoensso/nippy "2.15.0-alpha2"] ; Dev, see CHANGELOG for details
Please consider helping to support my continued open-source Clojure/Script work?
Even small contributions can add up + make a big difference to help sustain my time writing, maintaining, and supporting Nippy and other Clojure/Script libraries. Thank you!
- Peter Taoussanis
Clojure's rich data types are awesome. And its reader allows you to take your data just about anywhere. But the reader can be painfully slow when you've got a lot of data to crunch (like when you're serializing to a database).
Nippy is an attempt to provide a reliable, high-performance drop-in alternative to the reader. Used by the Carmine Redis client, the Faraday DynamoDB client, PigPen, Onyx and others.
:password [:salted "my-password"]
option (v2+)Add the necessary dependency to your project:
[com.taoensso/nippy "2.14.0"]
And setup your namespace imports:
(ns my-ns (:require [taoensso.nippy :as nippy]))
As an example of what it can do, let's take a look at Nippy's own reference stress data:
nippy/stress-data
=>
{:bytes (byte-array [(byte 1) (byte 2) (byte 3)])
:nil nil
:true true
:false false
:char \ಬ
:str-short "ಬಾ ಇಲ್ಲಿ ಸಂಭವಿಸ"
:str-long (apply str (range 1000))
:kw :keyword
:kw-ns ::keyword
:sym 'foo
:sym-ns 'foo/bar
:regex #"^(https?:)?//(www\?|\?)?"
:queue (-> (PersistentQueue/EMPTY) (conj :a :b :c :d :e :f :g))
:queue-empty (PersistentQueue/EMPTY)
:queue-empty (enc/queue)
:sorted-set (sorted-set 1 2 3 4 5)
:sorted-map (sorted-map :b 2 :a 1 :d 4 :c 3)
:list (list 1 2 3 4 5 (list 6 7 8 (list 9 10)))
:list-quoted '(1 2 3 4 5 (6 7 8 (9 10)))
:list-empty (list)
:vector [1 2 3 4 5 [6 7 8 [9 10]]]
:vector-empty []
:map {:a 1 :b 2 :c 3 :d {:e 4 :f {:g 5 :h 6 :i 7}}}
:map-empty {}
:set #{1 2 3 4 5 #{6 7 8 #{9 10}}}
:set-empty #{}
:meta (with-meta {:a :A} {:metakey :metaval})
:nested [#{{1 [:a :b] 2 [:c :d] 3 [:e :f]} [] #{:a :b}}
#{{1 [:a :b] 2 [:c :d] 3 [:e :f]} [] #{:a :b}}
[1 [1 2 [1 2 3 [1 2 3 4 [1 2 3 4 5]]]]]]
:lazy-seq (repeatedly 1000 rand)
:lazy-seq-empty (map identity '())
:byte (byte 16)
:short (short 42)
:integer (int 3)
:long (long 3)
:bigint (bigint 31415926535897932384626433832795)
:float (float 3.14)
:double (double 3.14)
:bigdec (bigdec 3.1415926535897932384626433832795)
:ratio 22/7
:uuid (java.util.UUID/randomUUID)
:date (java.util.Date.)
:stress-record (StressRecord. "data")
;; Serializable
:throwable (Throwable. "Yolo")
:exception (try (/ 1 0) (catch Exception e e))
:ex-info (ex-info "ExInfo" {:data "data"})}
Serialize it:
(def frozen-stress-data (nippy/freeze nippy/stress-data))
=> #<byte[] [B@3253bcf3>
Deserialize it:
(nippy/thaw frozen-stress-data)
=> {:bytes (byte-array [(byte 1) (byte 2) (byte 3)])
:nil nil
:boolean true
<...> }
Couldn't be simpler!
See also the lower-level freeze-to-out!
and thaw-from-in!
fns for operating on DataOutput
and DataInput
types directly.
Nippy also gives you dead simple data encryption. Add a single option to your usual freeze/thaw calls like so:
(nippy/freeze nippy/stress-data {:password [:salted "my-password"]}) ; Encrypt
(nippy/thaw <encrypted-data> {:password [:salted "my-password"]}) ; Decrypt
There's two default forms of encryption on offer: :salted
and :cached
. Each of these makes carefully-chosen trade-offs and is suited to one of two common use cases. See the aes128-encryptor
API docs for a detailed explanation of why/when you'd want one or the other.
(defrecord MyType [data])
(nippy/extend-freeze MyType :my-type/foo ; A unique (namespaced) type identifier
[x data-output]
(.writeUTF data-output (:data x)))
(nippy/extend-thaw :my-type/foo ; Same type id
[data-input]
(MyType. (.readUTF data-input)))
(nippy/thaw (nippy/freeze (MyType. "Joe"))) => #taoensso.nippy.MyType{:data "Joe"}
Nippy is currently the fastest serialization library for Clojure that I'm aware of, and offers roundtrip times between ~10x and ~15x faster than Clojure's tools.reader.edn
, with a ~40% smaller output size.
Detailed benchmark info is available on Google Docs.
Please use the project's GitHub issues page for all questions, ideas, etc. Pull requests welcome. See the project's GitHub contributors page for a list of contributors.
Otherwise, you can reach me at Taoensso.com. Happy hacking!
Distributed under the EPL v1.0 (same as Clojure).
Copyright © 2012-2016 Peter Taoussanis.
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