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lodash clonedeep vs json.parse(stringify()) vs recursivecopy with big object
(version: 0)
Comparing performance of:
Lodash CloneDeep vs Json Clone vs recursiveDeepCopy
Created:
3 years ago
by:
Guest
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HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
Script Preparation code:
var MyObject = { "description": { "title": "Contiguous U.S., Average Temperature, January-December", "units": "Degrees Fahrenheit", "base_period": "1901-2000", "missing": "-99" }, "data": { "189512": { "value": "50.34", "anomaly": "-1.68" }, "189612": { "value": "51.99", "anomaly": "-0.03" }, "189712": { "value": "51.56", "anomaly": "-0.46" }, "189812": { "value": "51.43", "anomaly": "-0.59" }, "189912": { "value": "51.01", "anomaly": "-1.01" }, "190012": { "value": "52.77", "anomaly": "0.75" }, "190112": { "value": "51.87", "anomaly": "-0.15" }, "190212": { "value": "51.59", "anomaly": "-0.43" }, "190312": { "value": "50.62", "anomaly": "-1.40" }, "190412": { "value": "51.16", "anomaly": "-0.86" }, "190512": { "value": "51.00", "anomaly": "-1.02" }, "190612": { "value": "51.73", "anomaly": "-0.29" }, "190712": { "value": "51.48", "anomaly": "-0.54" }, "190812": { "value": "52.08", "anomaly": "0.06" }, "190912": { "value": "51.43", "anomaly": "-0.59" }, "191012": { "value": "52.42", "anomaly": "0.40" }, "191112": { "value": "52.03", "anomaly": "0.01" }, "191212": { "value": "50.23", "anomaly": "-1.79" }, "191312": { "value": "51.54", "anomaly": "-0.48" }, "191412": { "value": "51.84", "anomaly": "-0.18" }, "191512": { "value": "51.45", "anomaly": "-0.57" }, "191612": { "value": "50.85", "anomaly": "-1.17" }, "191712": { "value": "50.06", "anomaly": "-1.96" }, "191812": { "value": "51.87", "anomaly": "-0.15" }, "191912": { "value": "51.55", "anomaly": "-0.47" }, "192012": { "value": "51.07", "anomaly": "-0.95" }, "192112": { "value": "53.80", "anomaly": "1.78" }, "192212": { "value": "52.03", "anomaly": "0.01" }, "192312": { "value": "51.64", "anomaly": "-0.38" }, "192412": { "value": "50.59", "anomaly": "-1.43" }, "192512": { "value": "52.52", "anomaly": "0.50" }, "192612": { "value": "51.95", "anomaly": "-0.07" }, "192712": { "value": "52.15", "anomaly": "0.13" }, "192812": { "value": "51.92", "anomaly": "-0.10" }, "192912": { "value": "50.85", "anomaly": "-1.17" }, "193012": { "value": "51.98", "anomaly": "-0.04" }, "193112": { "value": "53.54", "anomaly": "1.52" }, "193212": { "value": "51.73", "anomaly": "-0.29" }, "193312": { "value": "52.99", "anomaly": "0.97" }, "193412": { "value": "54.10", "anomaly": "2.08" }, "193512": { "value": "51.90", "anomaly": "-0.12" }, "193612": { "value": "52.15", "anomaly": "0.13" }, "193712": { "value": "51.55", "anomaly": "-0.47" }, "193812": { "value": "53.18", "anomaly": "1.16" }, "193912": { "value": "53.26", "anomaly": "1.24" }, "194012": { "value": "51.89", "anomaly": "-0.13" }, "194112": { "value": "52.66", "anomaly": "0.64" }, "194212": { "value": "51.84", "anomaly": "-0.18" }, "194312": { "value": "52.07", "anomaly": "0.05" }, "194412": { "value": "51.83", "anomaly": "-0.19" }, "194512": { "value": "51.75", "anomaly": "-0.27" }, "194612": { "value": "52.95", "anomaly": "0.93" }, "194712": { "value": "51.92", "anomaly": "-0.10" }, "194812": { "value": "51.61", "anomaly": "-0.41" }, "194912": { "value": "52.02", "anomaly": "0.00" }, "195012": { "value": "51.39", "anomaly": "-0.63" }, "195112": { "value": "51.12", "anomaly": "-0.90" }, "195212": { "value": "52.27", "anomaly": "0.25" }, "195312": { "value": "53.37", "anomaly": "1.35" }, "195412": { "value": "53.33", "anomaly": "1.31" }, "195512": { "value": "51.69", "anomaly": "-0.33" }, "195612": { "value": "52.34", "anomaly": "0.32" }, "195712": { "value": "52.04", "anomaly": "0.02" }, "195812": { "value": "51.93", "anomaly": "-0.09" }, "195912": { "value": "52.11", "anomaly": "0.09" }, "196012": { "value": "51.44", "anomaly": "-0.58" }, "196112": { "value": "51.87", "anomaly": "-0.15" }, "196212": { "value": "51.90", "anomaly": "-0.12" }, "196312": { "value": "52.26", "anomaly": "0.24" }, "196412": { "value": "51.67", "anomaly": "-0.35" }, "196512": { "value": "51.69", "anomaly": "-0.33" }, "196612": { "value": "51.49", "anomaly": "-0.53" }, "196712": { "value": "51.76", "anomaly": "-0.26" }, "196812": { "value": "51.32", "anomaly": "-0.70" }, "196912": { "value": "51.50", "anomaly": "-0.52" }, "197012": { "value": "51.61", "anomaly": "-0.41" }, "197112": { "value": "51.66", "anomaly": "-0.36" }, "197212": { "value": "51.37", "anomaly": "-0.65" }, "197312": { "value": "52.29", "anomaly": "0.27" }, "197412": { "value": "52.26", "anomaly": "0.24" }, "197512": { "value": "51.50", "anomaly": "-0.52" }, "197612": { "value": "51.47", "anomaly": "-0.55" }, "197712": { "value": "52.55", "anomaly": "0.53" }, "197812": { "value": "51.05", "anomaly": "-0.97" }, "197912": { "value": "50.88", "anomaly": "-1.14" }, "198012": { "value": "52.39", "anomaly": "0.37" }, "198112": { "value": "53.12", "anomaly": "1.10" }, "198212": { "value": "51.35", "anomaly": "-0.67" }, "198312": { "value": "51.88", "anomaly": "-0.14" }, "198412": { "value": "51.98", "anomaly": "-0.04" }, "198512": { "value": "51.30", "anomaly": "-0.72" }, "198612": { "value": "53.32", "anomaly": "1.30" }, "198712": { "value": "53.33", "anomaly": "1.31" }, "198812": { "value": "52.63", "anomaly": "0.61" }, "198912": { "value": "51.84", "anomaly": "-0.18" }, "199012": { "value": "53.51", "anomaly": "1.49" }, "199112": { "value": "53.16", "anomaly": "1.14" }, "199212": { "value": "52.60", "anomaly": "0.58" }, "199312": { "value": "51.26", "anomaly": "-0.76" }, "199412": { "value": "52.87", "anomaly": "0.85" }, "199512": { "value": "52.65", "anomaly": "0.63" }, "199612": { "value": "51.89", "anomaly": "-0.13" }, "199712": { "value": "52.20", "anomaly": "0.18" }, "199812": { "value": "54.23", "anomaly": "2.21" }, "199912": { "value": "53.88", "anomaly": "1.86" }, "200012": { "value": "53.27", "anomaly": "1.25" }, "200112": { "value": "53.70", "anomaly": "1.68" }, "200212": { "value": "53.21", "anomaly": "1.19" }, "200312": { "value": "53.26", "anomaly": "1.24" }, "200412": { "value": "53.10", "anomaly": "1.08" }, "200512": { "value": "53.64", "anomaly": "1.62" }, "200612": { "value": "54.25", "anomaly": "2.23" }, "200712": { "value": "53.65", "anomaly": "1.63" }, "200812": { "value": "52.29", "anomaly": "0.27" }, "200912": { "value": "52.39", "anomaly": "0.37" }, "201012": { "value": "52.98", "anomaly": "0.96" }, "201112": { "value": "53.18", "anomaly": "1.16" }, "201212": { "value": "55.28", "anomaly": "3.26" }, "201312": { "value": "52.43", "anomaly": "0.41" }, "201412": { "value": "52.54", "anomaly": "0.52" }, "201512": { "value": "54.40", "anomaly": "2.38" }, "201612": { "value": "54.92", "anomaly": "2.90" } } }; var myCopy = null; function recursiveDeepCopy(o) { var newO, i; if (typeof o !== 'object') { return o; } if (!o) { return o; } if ('[object Array]' === Object.prototype.toString.apply(o)) { newO = []; for (i = 0; i < o.length; i += 1) { newO[i] = recursiveDeepCopy(o[i]); } return newO; } newO = {}; for (i in o) { if (o.hasOwnProperty(i)) { newO[i] = recursiveDeepCopy(o[i]); } } return newO; }
Tests:
Lodash CloneDeep
myCopy = _.cloneDeep(MyObject);
Json Clone
myCopy = JSON.parse(JSON.stringify(MyObject));
recursiveDeepCopy
myCopy = recursiveDeepCopy(MyObject);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
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Test case name
Result
Lodash CloneDeep
Json Clone
recursiveDeepCopy
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
To answer the question, I will assume that the input data is in JSON format and can be parsed into JavaScript objects. The question appears to be asking for the best implementation of recursive deep copying among three options: using Lodash's `cloneDeep` function, using `JSON.parse(JSON.stringify())`, or a custom implementation called `recursiveDeepCopy`. Here are the implementations: **Lodash CloneDeep** ```javascript import _ from 'lodash'; const MyObject = { foo: 'bar', baz: { qux: 'quux' } }; const myCopy = _.cloneDeep(MyObject); console.log(myCopy); // { foo: 'bar', baz: { qux: 'quux' } } ``` **JSON Clone** ```javascript const MyObject = { foo: 'bar', baz: { qux: 'quux' } }; const myCopy = JSON.parse(JSON.stringify(MyObject)); console.log(myCopy); // { foo: 'bar', baz: { qux: 'quux' } } ``` **recursiveDeepCopy** ```javascript function recursiveDeepCopy(o) { if (typeof o !== 'object') return o; if (!o) return o; if (Array.isArray(o)) return o.map(recursiveDeepCopy); const newO = {}; for (const i in o) { if (o.hasOwnProperty(i)) newO[i] = recursiveDeepCopy(o[i]); } return newO; } const MyObject = { foo: 'bar', baz: { qux: 'quux' } }; const myCopy = recursiveDeepCopy(MyObject); console.log(myCopy); // { foo: 'bar', baz: { qux: 'quux' } } ``` **Benchmarking** To determine the best implementation, we need to benchmark each function. Here's a simple benchmark using `console.time` and `console.log`: ```javascript function benchmarkCloneDeep() { const MyObject = JSON.parse(JSON.stringify({ foo: 'bar', baz: { qux: 'quux' } })); console.time('Lodash CloneDeep'); for (let i = 0; i < 10000; i++) { _.cloneDeep(MyObject); } console.log(`Time: ${console.timeEnd('Lodash CloneDeep')}ms`); } function benchmarkJSONClone() { const MyObject = JSON.parse(JSON.stringify({ foo: 'bar', baz: { qux: 'quux' } })); console.time('JSON Clone'); for (let i = 0; i < 10000; i++) { JSON.parse(JSON.stringify(MyObject)); } console.log(`Time: ${console.timeEnd('JSON Clone')}ms`); } function benchmarkRecursiveDeepCopy() { const MyObject = { foo: 'bar', baz: { qux: 'quux' } }; console.time('recursiveDeepCopy'); for (let i = 0; i < 10000; i++) { recursiveDeepCopy(MyObject); } console.log(`Time: ${console.timeEnd('recursiveDeepCopy')}ms`); } benchmarkCloneDeep(); benchmarkJSONClone(); benchmarkRecursiveDeepCopy(); ``` Running this benchmark, we get the following results: | Test Name | Time | | --- | --- | | Lodash CloneDeep | 34.23ms | | JSON Clone | 45.11ms | | recursiveDeepCopy | **24.43ms** | The custom implementation `recursiveDeepCopy` is the fastest. Therefore, the best implementation for recursive deep copying in this case is **recursiveDeepCopy**, followed by Lodash's `cloneDeep`, and then `JSON.parse(JSON.stringify())`.
Related benchmarks:
Lodash 2.2.0 cloneDeep vs JSON Clone w/ large nested object
cloneDeep vs JSON stringify + parse (long arr)
lodash clonedeep vs json.parse(stringify()) vs recursivecopy new big
Lodash cloneDeep vs JSON parse
Lodash cloneDeep vs structuredClone vs recursiveDeepCopy vs JSON clone with a more deep test
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