Benchmark: delete vs lodash.omit

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.21/lodash.min.js"></script>

Script Preparation code:

var data = _.range(10000).reduce((acc, i) => {
  return {...acc, [`key_${i}`]: void 0}
}, {})

Tests:

delete
var clonnedData = { ...data }; delete clonnedData['key_5733'];
lodash
_.omit(data, ['key_5733'])

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
delete
lodash

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark compares two approaches: deleting an object property using the `delete` operator, and removing a property from an object using the `lodash.omit` function.

**Options Compared**

Two options are compared:

1. **Delete**: This approach uses the `delete` keyword to remove a property from an object. The syntax is `delete obj[key]`.
2. **Lodash.omit**: This approach uses the `lodash.omit` function, which takes two arguments: the original object (`data`) and an array of properties to be removed (`'key_5733'`). The syntax is `_.omit(data, ['key_5733'])`.

**Pros and Cons**

**Delete**

Pros:

* Simple and concise syntax
* Can be faster since it only involves a single operation (reading the property's name and updating the object reference)

Cons:

* May trigger garbage collection if the deleted property has no other references, which can slow down subsequent operations
* Does not provide any information about which properties were removed

**Lodash.omit**

Pros:

* Provides more control over which properties are removed
* Can be faster since it avoids unnecessary reads and writes (by using a single array operation)

Cons:

* More complex syntax (requires importing `lodash` and passing an array of property names)
* May incur additional overhead due to the use of a library function

**Other Considerations**

Both approaches assume that the object being modified is not garbage collected immediately after deleting or removing properties. If this assumption holds, both approaches should be comparable in terms of performance.

However, if the deleted property has no other references and is immediately garbage collected, using `delete` may incur additional overhead due to garbage collection pauses. In contrast, `lodash.omit` avoids triggering garbage collection by only returning an updated object reference.

**Library and Syntax**

The benchmark uses the `lodash` library, which provides various utility functions for working with objects and arrays.

In this specific case, `_.omit` is used to remove properties from an object. The syntax `_.omit(data, ['key_5733'])` creates a new object that excludes the specified property (`'key_5733'`) from its original value.

**Special JS Feature/Syntax**

There are no special JavaScript features or syntaxes being tested in this benchmark. Both approaches rely on standard object and array operations.

Related benchmarks:

delete vs lodash.omit (version: 0)

Compares delete operation with lodash "omit" function

Comparing performance of: delete vs lodash

Created: 3 years ago by: Guest

Jump to the latest result

delete

lodash

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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