------es6Reducer result-------
RAM : 96 MB
HeapTotal : 69 MB
HeapUsed : 72 MB
External : 0 Byte
CPU : 385.773 ms
Spend time : 389 ms
------lodashReducer result-------
RAM : 80 MB
HeapTotal : 71 MB
HeapUsed : 72 MB
External : 0 Byte
CPU : 280.702 ms
Spend time : 196 ms
------immutableJsReducer result-------
RAM : 69 MB
HeapTotal : 68 MB
HeapUsed : 72 MB
External : 0 Byte
CPU : 133.673 ms
Spend time : 133 ms
------ramdaReducer result-------
RAM : 76 MB
HeapTotal : 70 MB
HeapUsed : 57 MB
External : 0 Byte
CPU : 128.905 ms
Spend time : 128 ms
------immerReducer result-------
RAM : 59 MB
HeapTotal : 45 MB
HeapUsed : 45 MB
External : 0 Byte
CPU : 1454.342 ms
Spend time : 1023 ms
------seamlessImmutableReducer result-------
RAM : 173 MB
HeapTotal : 207 MB
HeapUsed : 167 MB
External : 0 Byte
CPU : 8565.081 ms
Spend time : 6245 ms
Lodash/fp
: simple, fast and already included in production line.
------equal result-------
RAM : 59 MB
HeapTotal : 42 MB
HeapUsed : 41 MB
External : 0 Byte
CPU : 310.102 ms
Spend time : 131 ms
------shallowEqual result-------
RAM : 96 MB
HeapTotal : 82 MB
HeapUsed : 82 MB
External : 0 Byte
CPU : 147.592 ms
Spend time : 148 ms
------shallowEqual result-------
RAM : 93 MB
HeapTotal : 81 MB
HeapUsed : 93 MB
External : 0 Byte
CPU : 1303.939 ms
Spend time : 1296 ms
------shallowEqual result-------
RAM : 85 MB
HeapTotal : 81 MB
HeapUsed : 82 MB
External : 0 Byte
CPU : 144.848 ms
Spend time : 144 ms
------comparator result-------
RAM : 86 MB
HeapTotal : 81 MB
HeapUsed : 82 MB
External : 0 Byte
CPU : 400.005 ms
Spend time : 181 ms
------isEqual result-------
RAM : 15 MB
HeapTotal : 14 MB
HeapUsed : 18 MB
External : 0 Byte
CPU : 210.929 ms
Spend time : 147 ms
------equal result-------
RAM : 8 MB
HeapTotal : 6 MB
HeapUsed : 6 MB
External : 0 Byte
CPU : 52.248 ms
Spend time : 50 ms
------isEqual result-------
RAM : 8 MB
HeapTotal : 7 MB
HeapUsed : 6 MB
External : 0 Byte
CPU : 47.132 ms
Spend time : 45 ms
Self-Made smartStrictCompare
import deepEqual from 'fast-deep-equal';
import { equal } from 'fast-shallow-equal';
const getType = (sth) => {
return Object.prototype.toString.call(sth).slice(8, -1);
}
const deepObject = (obj) => {
const keys = Object.keys(obj);
for (let i = 0; i < keys.length; i++) {
const type = getType(obj[keys[i]]);
if (type === 'Object' || type === 'Array') return true
}
return false
}
export const smartStrictEqual = (prev, next) => {
const prevType = getType(prev);
const nextType = getType(next);
if (prevType !== nextType) return Object.is(prev, next);
if (prevType === 'Array') return deepEqual(prev, next);
if (prevType !== 'Object') return Object.is(prev, next)
if (deepObject(prev) || deepObject(next)) return deepEqual(prev, next)
return equal(prev, next)
}
------sortKeysBy result-------
RAM : 17 MB
HeapTotal : 17 MB
HeapUsed : 23 MB
External : 0 Byte
CPU : 5082.609 ms
Spend time : 5094 ms
------lodash_sortKeysBy result-------
RAM : 116 MB
HeapTotal : 111 MB
HeapUsed : 127 MB
External : 0 Byte
CPU : 4208.04 ms
Spend time : 3841 ms
------normalSort result-------
RAM : 150 MB
HeapTotal : 147 MB
HeapUsed : 148 MB
External : NaN undefined
CPU : 4010.174 ms
Spend time : 3741 ms
sortKeysBy
: significant save memory
in client
import sort from 'fast-sort';
import _ from 'lodash';
// data: { 'a': { a: 2, b: 3 }, 'b': { a: 3, b: 19 } }
// bys: { 'a': 'asc','b': 'desc' }
export const sortKeysBy = (data, bys) => {
const keys = Object.keys(data);
const attrs = _.map(bys, (order, attr) => ({ [<string>order]: key => _.get(data, [key, attr]) }));
// @ts-ignore
return sort(keys).by(attrs);
}
------filter_obj result-------
RAM : 19 MB
HeapTotal : 17 MB
HeapUsed : 16 MB
External : NaN undefined
CPU : 97.111 ms
Spend time : 91 ms
------lodash result-------
RAM : 14 MB
HeapTotal : 14 MB
HeapUsed : 17 MB
External : 0 Byte
CPU : 62.076 ms
Spend time : 61 ms
------values result-------
RAM : 59 MB
HeapTotal : 57 MB
HeapUsed : 56 MB
External : 0 Byte
CPU : 117.734 ms
Spend time : 118 ms
------map result-------
RAM : 8 MB
HeapTotal : 8 MB
HeapUsed : 8 MB
External : 0 Byte
CPU : 29.165 ms
Spend time : 29 ms
- Store ids in another place
- get entities by
_.map(ids, id => data[id])
------getter1 result-------
RAM : 56 KB
HeapTotal : 0 Byte
HeapUsed : 51 KB
External : 0 Byte
CPU : 2.317 ms
Spend time : 2 ms
------getter2 result-------
RAM : 4 KB
HeapTotal : 0 Byte
HeapUsed : 4 KB
External : 0 Byte
CPU : 0.239 ms
Spend time : 0 ms