(ns com.rpl.specter.benchmarks (:use [com.rpl.specter] [com.rpl.specter.transients] [com.rpl.specter.impl :only [benchmark]]) (:require [clojure.walk :as walk])) ;; run via `lein repl` with `(load-file "scripts/benchmarks.clj")` (defn pretty-float5 [anum] (format "%.5g" anum)) (defn pretty-float3 [anum] (format "%.3g" anum)) (defn time-ms [amt afn] (let [start (System/nanoTime) _ (dotimes [_ amt] (afn)) end (System/nanoTime)] (/ (- end start) 1000000.0))) (defn avg [numbers] (/ (reduce + numbers) (count numbers) 1.0)) (defn average-time-ms [iters amt-per-iter afn] (avg ;; treat 1st run as warmup (next (for [i (range (inc iters))] (time-ms amt-per-iter afn))))) (defn compare-benchmark [amt-per-iter afn-map] (System/runFinalization) (System/gc) (let [results (transform MAP-VALS (fn [afn] (average-time-ms 8 amt-per-iter afn)) afn-map) [[_ best-time] & _ :as sorted] (sort-by last results)] (println "\nAvg(ms)\t\tvs best\t\tCode") (doseq [[k t] sorted] (println (pretty-float5 t) "\t\t" (pretty-float3 (/ t best-time 1.0)) "\t\t" k)))) (defmacro run-benchmark [name amt-per-iter & exprs] (let [afn-map (->> exprs shuffle (map (fn [e] [`(quote ~e) `(fn [] ~e)])) (into {}))] `(do (println "Benchmark:" ~name (str "(" ~amt-per-iter " iterations)")) (compare-benchmark ~amt-per-iter ~afn-map) (println "\n********************************\n")))) (defn specter-dynamic-nested-get [data a b c] (select-any [(keypath a) (keypath b) (keypath c)] data)) (defn get-k [k] (fn [m next] (next (get m k)))) (def get-a-b-c (reduce (fn [curr afn] (fn [structure] (afn structure curr))) [identity (get-k :c) (get-k :b) (get-k :a)])) (let [data {:a {:b {:c 1}}} p (comp-paths :a :b :c)] (run-benchmark "get value in nested map" 2500000 (select-any [:a :b :c] data) (select-any (keypath :a :b :c) data) (select-one [:a :b :c] data) (select-first [:a :b :c] data) (select-one! [:a :b :c] data) (compiled-select-any p data) (specter-dynamic-nested-get data :a :b :c) (get-in data [:a :b :c]) (get-a-b-c data) (-> data :a :b :c identity) (-> data (get :a) (get :b) (get :c)) (-> data :a :b :c) (select-any [(keypath :a) (keypath :b) (keypath :c)] data))) (let [data {:a {:b {:c 1}}}] (run-benchmark "set value in nested map" 2500000 (assoc-in data [:a :b :c] 1) (setval [:a :b :c] 1 data))) ;; because below 1.7 there is no update function (defn- my-update [m k afn] (assoc m k (afn (get m k)))) (defn manual-transform [m afn] (my-update m :a (fn [m2] (my-update m2 :b (fn [m3] (my-update m3 :c afn)))))) (let [data {:a {:b {:c 1}}}] (run-benchmark "update value in nested map" 500000 (update-in data [:a :b :c] inc) (transform [:a :b :c] inc data) (manual-transform data inc))) (defn map-vals-map-iterable [^clojure.lang.IMapIterable m afn] (let [k-it (.keyIterator m) v-it (.valIterator m)] (loop [ret {}] (if (.hasNext k-it) (let [k (.next k-it) v (.next v-it)] (recur (assoc ret k (afn v)))) ret)))) (defn map-vals-map-iterable-transient [^clojure.lang.IMapIterable m afn] (persistent! (let [k-it (.keyIterator m) v-it (.valIterator m)] (loop [ret (transient {})] (if (.hasNext k-it) (let [k (.next k-it) v (.next v-it)] (recur (assoc! ret k (afn v)))) ret))))) (let [data {:a 1 :b 2 :c 3 :d 4}] (run-benchmark "transform values of a small map" 500000 (into {} (for [[k v] data] [k (inc v)])) (reduce-kv (fn [m k v] (assoc m k (inc v))) {} data) (persistent! (reduce-kv (fn [m k v] (assoc! m k (inc v))) (transient {}) data)) (reduce-kv (fn [m k v] (assoc m k (inc v))) (empty data) data) (transform [ALL LAST] inc data) (transform MAP-VALS inc data) (zipmap (keys data) (map inc (vals data))) (into {} (map (fn [e] [(key e) (inc (val e))]) data)) (map-vals-map-iterable data inc) (map-vals-map-iterable-transient data inc))) (let [data (->> (for [i (range 1000)] [i i]) (into {}))] (run-benchmark "transform values of large map" 600 (into {} (for [[k v] data] [k (inc v)])) (reduce-kv (fn [m k v] (assoc m k (inc v))) {} data) (persistent! (reduce-kv (fn [m k v] (assoc! m k (inc v))) (transient {}) data)) (persistent! (reduce-kv (fn [m k v] (assoc! m k (inc v))) (transient clojure.lang.PersistentHashMap/EMPTY) data)) (reduce-kv (fn [m k v] (assoc m k (inc v))) (empty data) data) (transform [ALL LAST] inc data) (transform MAP-VALS inc data) (zipmap (keys data) (map inc (vals data))) (into {} (map (fn [e] [(key e) (inc (val e))]) data)) (map-vals-map-iterable data inc) (map-vals-map-iterable-transient data inc))) (let [data [1 2 3 4 5 6 7 8 9 10]] (run-benchmark "first value of a size 10 vector" 10000000 (first data) (select-any ALL data) (select-any FIRST data) (select-first ALL data) )) (let [data [1 2 3 4 5]] (run-benchmark "map a function over a vector" 1000000 (vec (map inc data)) (mapv inc data) (transform ALL inc data) (into [] (map inc) data))) (let [data [1 2 3 4 5 6 7 8 9 10]] (run-benchmark "filter a sequence" 500000 (doall (filter even? data)) (filterv even? data) (select [ALL even?] data) (select-any (filterer even?) data) (into [] (filter even?) data))) (let [data [{:a 2 :b 2} {:a 1} {:a 4} {:a 6}] xf (comp (map :a) (filter even?))] (run-benchmark "even :a values from sequence of maps" 500000 (select [ALL :a even?] data) (->> data (mapv :a) (filter even?) doall) (into [] (comp (map :a) (filter even?)) data) (into [] xf data))) (let [v (vec (range 1000))] (run-benchmark "Append to a large vector" 2000000 (setval END [1] v) (setval AFTER-ELEM 1 v) (reduce conj v [1]) (conj v 1))) (let [data [1 2 3 4 5 6 7 8 9 10]] (run-benchmark "prepend to a vector" 1000000 (vec (cons 0 data)) (setval BEFORE-ELEM 0 data) (into [0] data) )) (declarepath TreeValues) (providepath TreeValues (if-path vector? [ALL TreeValues] STAY)) (defprotocolpath TreeValuesProt) (extend-protocolpath TreeValuesProt clojure.lang.PersistentVector [ALL TreeValuesProt] Object STAY) (defn tree-value-transform [afn atree] (if (vector? atree) (mapv #(tree-value-transform afn %) atree) (afn atree))) (let [data [1 2 [[3]] [4 6 [7 [8]] 10]]] (run-benchmark "update every value in a tree (represented with vectors)" 50000 (walk/postwalk (fn [e] (if (and (number? e) (even? e)) (inc e) e)) data) (transform [(walker number?) even?] inc data) (transform [TreeValues even?] inc data) (transform [TreeValuesProt even?] inc data) (tree-value-transform (fn [e] (if (even? e) (inc e) e)) data))) (let [toappend (range 1000)] (run-benchmark "transient comparison: building up vectors" 8000 (reduce (fn [v i] (conj v i)) [] toappend) (reduce (fn [v i] (conj! v i)) (transient []) toappend) (setval END toappend []) (setval END! toappend (transient [])))) (let [toappend (range 1000)] (run-benchmark "transient comparison: building up vectors one at a time" 7000 (reduce (fn [v i] (conj v i)) [] toappend) (reduce (fn [v i] (conj! v i)) (transient []) toappend) (reduce (fn [v i] (setval END [i] v)) [] toappend) (reduce (fn [v i] (setval END! [i] v)) (transient []) toappend))) (let [data (vec (range 1000)) tdata (transient data) tdata2 (transient data)] (run-benchmark "transient comparison: assoc'ing in vectors" 2500000 (assoc data 600 0) (assoc! tdata 600 0) (setval (keypath 600) 0 data) (setval (keypath! 600) 0 tdata2))) (let [data (into {} (for [k (range 1000)] [k (rand)])) tdata (transient data) tdata2 (transient data)] (run-benchmark "transient comparison: assoc'ing in maps" 1500000 (assoc data 600 0) (assoc! tdata 600 0) (setval (keypath 600) 0 data) (setval (keypath! 600) 0 tdata2))) (defn modify-submap [m] (assoc m 0 1 458 89)) (let [data (into {} (for [k (range 1000)] [k (rand)])) tdata (transient data)] (run-benchmark "transient comparison: submap" 150000 (transform (submap [600 700]) modify-submap data) (transform (submap! [600 700]) modify-submap tdata))) (let [data {:x 1} meta-map {:my :metadata}] (run-benchmark "set metadata" 1500000 (with-meta data meta-map) (setval META meta-map data))) (let [data (with-meta {:x 1} {:my :metadata})] (run-benchmark "get metadata" 15000000 (meta data) (select-any META data))) (let [data (with-meta {:x 1} {:my :metadata})] (run-benchmark "vary metadata" 800000 (vary-meta data assoc :y 2) (setval [META :y] 2 data))) (let [data (range 1000)] (run-benchmark "Traverse into a set" 5000 (set data) (set (select ALL data)) (into #{} (traverse ALL data)) (persistent! (reduce conj! (transient #{}) (traverse ALL data))) (reduce conj #{} (traverse ALL data)))) (defn mult-10 [v] (* 10 v)) (let [data [1 2 3 4 5 6 7 8 9]] (run-benchmark "multi-transform vs. consecutive transforms, one shared nav" 300000 (->> data (transform [ALL even?] mult-10) (transform [ALL odd?] dec)) (multi-transform [ALL (multi-path [even? (terminal mult-10)] [odd? (terminal dec)])] data))) (let [data [[1 2 3 4 :a] [5] [6 7 :b 8 9] [10 11 12 13]]] (run-benchmark "multi-transform vs. consecutive transforms, three shared navs" 150000 (->> data (transform [ALL ALL number? even?] mult-10) (transform [ALL ALL number? odd?] dec)) (multi-transform [ALL ALL number? (multi-path [even? (terminal mult-10)] [odd? (terminal dec)])] data)))