Benchmark: Mappers - MeasureThat.net

HTML Preparation code:


<script src='https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.8.3/underscore-min.js'></script>

Script Preparation code:

function randomString() {
  var length = Math.ceil(Math.random() * 100);
  var possible = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789';

  var text = '';
  for (var i=0; i < length; i++) {
    text += possible.charAt(Math.floor(Math.random() * possible.length));
  }
  
  return text;  
}

function createObject() {
    return {
        num1: Math.random(),
        num2: Math.random(),
        num3: Math.random(Math.random()),
        str1: randomString(),
        str2: randomString(),
        str3: randomString(),
        bool1: true,
        bool2: false,
        obj1: {
            prop1: randomString(),
            prop2: Math.random(),
            prop3: true,
        },
        obj2: {
            prop1: randomString(),
            prop2: Math.random(),
            prop3: false,
        },
        arr1: [1,2,3,4,5,6,7,8,9,0],
        arr2: [
            randomString(),
            randomString(),
            randomString(),
            randomString(),
            randomString(),
            randomString(),
            randomString(),
        ],
    }
}

collection = Array(1000).fill(0).map(createObject);

Tests:

underscorePick1
const mapped = collection.map((data) => ({ ..._(data).pick('num3', 'str1', 'str2', 'bool2', 'arr1', 'obj1'), num1: data.num1 + 10, num2: data.num2 + 10, str3: data.str3 + '12345', bool1: false, obj2: { ...data.obj2, prop1: '1212212'}, arr2: [data.arr2[0], data.arr2[1], data.arr2[2]] }));
underscorePick2
const mapped = collection.map((data) => ({ ..._.pick(data, 'num3', 'str1', 'str2', 'bool2', 'arr1', 'obj1'), num1: data.num1 + 10, num2: data.num2 + 10, str3: data.str3 + '12345', bool1: false, obj2: { ...data.obj2, prop1: '1212212'}, arr2: [data.arr2[0], data.arr2[1], data.arr2[2]] }));
underscoreOmit1
const mapped = collection.map((data) => ({ ..._(data).omit('num1', 'num2', 'str3', 'bool1', 'obj2', 'arr2'), num1: data.num1 + 10, num2: data.num2 + 10, str3: data.str3 + '12345', bool1: false, obj2: { ...data.obj2, prop1: '1212212'}, arr2: [data.arr2[0], data.arr2[1], data.arr2[2]] }));
underscoreOmit2
const mapped = collection.map((data) => ({ ..._.omit(data, 'num1', 'num2', 'str3', 'bool1', 'obj2', 'arr2'), num1: data.num1 + 10, num2: data.num2 + 10, str3: data.str3 + '12345', bool1: false, obj2: { ...data.obj2, prop1: '1212212'}, arr2: [data.arr2[0], data.arr2[1], data.arr2[2]] }));
objectUnion
const mapped = collection.map((data) => ({ ...data, num1: data.num1 + 10, num2: data.num2 + 10, str3: data.str3 + '12345', bool1: false, obj2: { ...data.obj2, prop1: '1212212'}, arr2: [data.arr2[0], data.arr2[1], data.arr2[2]] }));
objectCreate
const mapped = collection.map((data) => ({ num1: data.num1 + 10, num2: data.num2 + 10, num3: data.num3, str1: data.str1, str2: data.str2, str3: data.str3 + '12345', bool1: false, bool2: data.bool2, obj1: data.obj1, obj2: { ...data.obj2, prop1: '1212212'}, arr1: data.arr1, arr2: [data.arr2[0], data.arr2[1], data.arr2[2]] }));
objectUpdate
const mapped = collection.map((data) => { data.num1 += 10; data.num2 += 10; data.str3 += '12345'; data.bool1 = false; data.obj2.prop1 = '1212212'; data.arr2.length = 3; return data; });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
underscorePick1
underscorePick2
underscoreOmit1
underscoreOmit2
objectUnion
objectCreate
objectUpdate

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):

LLMs can make mistakes. Check important info.

Latest run results:

Run details: (Test run date: 4 months ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36

Browser/OS: Chrome 113 on Linux

View result in a separate tab

Test name	Executions per second
underscorePick1	246.3 Ops/sec
underscorePick2	221.8 Ops/sec
underscoreOmit1	208.9 Ops/sec
underscoreOmit2	150.3 Ops/sec
objectUnion	9197.8 Ops/sec
objectCreate	11407.9 Ops/sec
objectUpdate	9338.0 Ops/sec

Related benchmarks:

Mappers (version: 0)

Comparing performance of: underscorePick1 vs underscorePick2 vs underscoreOmit1 vs underscoreOmit2 vs objectUnion vs objectCreate vs objectUpdate

Created: 4 months ago by: Guest

Jump to the latest result

underscorePick1

underscorePick2

underscoreOmit1

underscoreOmit2

objectUnion

objectCreate

objectUpdate

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):