Benchmark: JSON with and without filter

Script Preparation code:

var bigdata = {};
for (var i = 0; i < 100; i++) {
  var usdata = {
    name: 'user' + i,
    surname: 'user' + i,
    friends: {}
  };

  for (var j = 0; j < 10; j++) {
    usdata.friends['friend' + j] = {
      _ref: 'firend' + j
    };
  }

  bigdata['user' + i] = usdata;
}

Tests:

Plain JSON stringify
var str = JSON.stringify(bigdata);
With filter
var str = JSON.stringify(bigdata, function(k,v) { return (k.charAt(0) == '$') ? undefined : v; });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Plain JSON stringify
With filter

Fastest: N/A

Slowest: N/A

Latest 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 definition and test cases to understand what's being tested.

**Benchmark Definition**

The benchmark definition is a JSON object that contains two scripts: `Script Preparation Code` and `Html Preparation Code`. The `Script Preparation Code` section creates an object called `bigdata` with 100 users, each having 10 friends. This object is then used to test the performance of the JavaScript `JSON.stringify()` function.

The `Json Preparation Code` section defines two different benchmark definitions:

1. **Plain JSON stringify**: This definition uses the default `JSON.stringify()` function without any filters.
2. **With filter**: This definition uses a custom filter function that returns `undefined` if the key starts with `$`.

**Options compared**

Two options are being compared in this benchmark:

* **Plain JSON stringify**: This option uses the default `JSON.stringify()` function, which recursively converts all properties of an object to strings.
* **With filter**: This option uses a custom filter function that removes certain keys from the stringification process.

**Pros and Cons**

Here's a brief summary of the pros and cons of each approach:

* **Plain JSON stringify**
	+ Pros:
		- More comprehensive string representation, including recursive conversions
		- Can be useful for debugging or logging purposes
	+ Cons:
		- May lead to larger output strings, potentially affecting performance
* **With filter**
	+ Pros:
		- Reduces the size of output strings by removing unnecessary keys
		- Can improve performance by reducing the amount of data being processed
	+ Cons:
		- May lose valuable information or data when keys are removed

**Library and purpose**

There is no specific library mentioned in the benchmark definition. However, it's worth noting that `JSON.stringify()` uses the native JavaScript implementation, which relies on the ECMAScript standard.

**Special JS feature or syntax**

The custom filter function used in the "With filter" test case employs a technique called **key filtering**, where only certain keys are included in the output string. This is achieved using the `function(k,v) { return (k.charAt(0) == '$') ? undefined : v; }` callback.

In this specific implementation, the filter function checks if the key (`k`) starts with a `$` character and returns `undefined` if it does. If the key does not start with a `$`, the value (`v`) is passed through unchanged. This effectively removes keys that start with a `$` from the output string.

**Other alternatives**

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

* **Using a library**: While `JSON.stringify()` is native to JavaScript, there are libraries like Lodash's `lodash.stringify()` or JSON Stringifier that can provide more advanced features and customizations.
* **Custom implementation**: Depending on your specific use case, you might consider implementing a custom stringification function using JavaScript's built-in `Object.keys()`, `forEach()`, and `String.prototype` methods.

Keep in mind that these alternatives may introduce additional complexity or performance overhead, so it's essential to evaluate their trade-offs carefully.

Related benchmarks:

JSON with and without filter (version: 0)

Comparing performance of: Plain JSON stringify vs With filter

Created: 9 years ago by: Registered User

Jump to the latest result

Plain JSON stringify

With filter

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):