Benchmark: omit vs delete - MeasureThat.net

HTML Preparation code:

<script src="//cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js"></script>

Tests:

native delete
const obj = { key1: "key1", key2: "key2", key3: "key3" } delete obj.key1 delete obj.key2 delete obj.key3
lodash omit
const obj = { key1: "key1", key2: "key2", key3: "key3" } _.omit(obj, ["key1", "key2", "key3"])

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
native delete
lodash omit

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's dive into the world of JavaScript microbenchmarks!

**Benchmark Definition Overview**

MeasureThat.net provides a simple and concise way to create and run JavaScript benchmarks. The provided JSON represents two benchmark definitions:

1. **"omit vs delete"**: This benchmark compares the performance of two approaches: native `delete` operations (without using any libraries) and Lodash's `_omit` function.
2. **"native delete"** and **"lodash omit"**: These are individual test cases that demonstrate the performance of the respective approaches.

**Options Compared**

In the "omit vs delete" benchmark, two options are compared:

* **Native `delete` operations**: This approach uses the native JavaScript `delete` operator to remove properties from an object.
* **Lodash's `_omit` function**: This is a utility function from the Lodash library that removes specified properties from an object.

**Pros and Cons of Each Approach**

1. **Native `delete` operations**:
	* Pros: No additional overhead, lightweight, and efficient for simple use cases.
	* Cons: May lead to unexpected behavior if not used carefully (e.g., deleting a property with a value that is also the key of another object), can be slower than Lodash's `_omit` function due to potential cache flushing or garbage collection.
2. **Lodash's `_omit` function**:
	* Pros: Provides a standardized and reliable way to remove properties, handles edge cases (e.g., removing keys with values that are also object references), and is often faster than native `delete` operations due to its optimized implementation.
	* Cons: Adds an external dependency (Lodash library), may be slower for very large objects or complex use cases.

**Lodash Library**

The Lodash library provides a set of utility functions, including `_omit`, which can help simplify and standardize code. `_omit` takes two arguments:

1. An object (`obj`) to remove properties from.
2. An array of property keys to omit (in this case, `["key1", "key2", "key3"]`).

**Other Considerations**

When choosing between native `delete` operations and Lodash's `_omit` function, consider the following:

* If you need a lightweight, simple solution for small objects or specific use cases, native `delete` operations might be sufficient.
* For more complex scenarios, larger datasets, or performance-critical applications, Lodash's `_omit` function is likely a better choice due to its optimized implementation and standardized behavior.

**Other Alternatives**

If you're interested in exploring alternative approaches, here are some options:

1. **ES6 `Object.fromEntries`**: This method can be used to create a new object with the specified key-value pairs and omitting others.
2. **`reduce` method**: You can use the `reduce` method to iterate over an array of property keys and remove them from the object using a callback function.

Keep in mind that these alternatives might not provide the same level of performance or simplicity as Lodash's `_omit` function, but they can be useful in certain contexts.

Related benchmarks:

omit vs delete (version: 0)

lodash omit vs multiple deletes

Comparing performance of: native delete vs lodash omit

Created: 4 years ago by: Guest

Jump to the latest result

native delete

lodash omit

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):