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Editing test
(version: 3)
Comparing performance of:
Edting 1 vs Editing 2 vs Editing 3
Created:
7 years ago
by:
Registered User
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Tests:
Edting 1
var users = [ { id: '1', name: 'User 1', rating: 3, properties: [ { name: 'Duplex Flat', neighborhood: 'Friderichshain' }, { name: 'Cozy Apartment', neighborhood: 'Friderichshain' } ] }, { id: '2', name: 'User 2', rating: 2, properties: [{ name: 'Single Room', neighborhood: 'Lichtenberg' }] }, { id: '3', name: 'User 3', rating: 2, properties: [{ name: 'Single Room', neighborhood: 'Lichtenberg' }] }, { id: '4', name: 'User 4', rating: 2, properties: [{ name: 'Single Room', neighborhood: 'Lichtenberg' }] }, { id: '5', name: 'User 5', rating: 2, properties: [{ name: 'Single Room', neighborhood: 'Lichtenberg' }] }, { id: '6', name: 'User 6', rating: 2, properties: [{ name: 'Single Room', neighborhood: 'Lichtenberg' }] } ]; var newUsers = users.map(item => item.id === '2' ? {...item, name: 'edited name' } : item)
Editing 2
var users = { 1: { id: '1', name: 'User 1', rating: 3, properties: [ { name: 'Duplex Flat', neighborhood: 'Friderichshain' }, { name: 'Cozy Apartment', neighborhood: 'Friderichshain' } ] }, 2: { id: '2', name: 'User 2', rating: 2, properties: [{ name: 'Single Room', neighborhood: 'Lichtenberg' }] }, 3: { id: '3', name: 'User 3', rating: 2, properties: [{ name: 'Single Room', neighborhood: 'Lichtenberg' }] }, 4: { id: '4', name: 'User 4', rating: 2, properties: [{ name: 'Single Room', neighborhood: 'Lichtenberg' }] }, 5: { id: '5', name: 'User 5', rating: 2, properties: [{ name: 'Single Room', neighborhood: 'Lichtenberg' }] }, 6: { id: '5', name: 'User 5', rating: 2, properties: [{ name: 'Single Room', neighborhood: 'Lichtenberg' }] } }; var newUsers = { ...users, 2: { ...users['2'], name: 'edited name' } };
Editing 3
var users = { 1: { id: '1', name: 'User 1', rating: 3, properties: [ { name: 'Duplex Flat', neighborhood: 'Friderichshain' }, { name: 'Cozy Apartment', neighborhood: 'Friderichshain' } ] }, 2: { id: '2', name: 'User 2', rating: 2, properties: [{ name: 'Single Room', neighborhood: 'Lichtenberg' }] }, 3: { id: '3', name: 'User 3', rating: 2, properties: [{ name: 'Single Room', neighborhood: 'Lichtenberg' }] }, 4: { id: '4', name: 'User 4', rating: 2, properties: [{ name: 'Single Room', neighborhood: 'Lichtenberg' }] }, 5: { id: '5', name: 'User 5', rating: 2, properties: [{ name: 'Single Room', neighborhood: 'Lichtenberg' }] }, 6: { id: '5', name: 'User 5', rating: 2, properties: [{ name: 'Single Room', neighborhood: 'Lichtenberg' }] } }; users['2'].name = 'edited name'
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
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Test case name
Result
Edting 1
Editing 2
Editing 3
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the benchmark and its components to help understand what's being tested. **Benchmark Overview** The benchmark measures the performance of editing operations on an array of objects in JavaScript. **Options Compared** There are three options being compared: 1. **Option 1**: `var newUsers = users.map(item => item.id === '2' ? {...item, name: 'edited name'} : item)` * This option uses the `map()` method to create a new array with edited elements. * The callback function checks if the current element's ID is '2', and if so, creates a new object with an updated `name` property using object destructuring (`{...item, name: 'edited name'}`). * If the condition is not met, the original element is returned unchanged. 2. **Option 2**: `var newUsers = { ...users, 2: { ...users['2'], name: 'edited name' } }` * This option uses object spread (`{ ...users, ... }`) to create a new object with updated elements. * The inner object is created by spreading the existing element at index `2` (`users['2']`) and then updating its `name` property. 3. **Option 3**: `users['2'].name = 'edited name'` * This option updates the `name` property of a specific element directly. **Test Environment** The benchmark is run on a desktop platform with Chrome 74, Mac OS X 10.14.4, and an Intel processor. **Interpretation** The benchmark measures how many elements can be edited (i.e., updated) per second across the three options. The results indicate that: * Option 1 (using `map()`) is slightly faster than Option 2 (using object spread). * Option 3 (directly updating the element's property) is significantly slower. This suggests that using a more efficient data structure and operation, like option 1, can lead to better performance when editing large datasets.
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