Benchmark: eval vs json parse for array of objects

Tests:

eval
eval('var crop = [{"x": "2021-03-21T16:50:19.679333", "y": 92}, {"x": "2021-03-21T17:30:12.526285", "y": 100}, {"x": "2021-03-21T17:33:28.971222", "y": 100}, {"x": "2021-03-21T18:08:17.392409", "y": 100}, {"x": "2021-03-21T18:34:30.595492", "y": 100}, {"x": "2021-03-21T18:36:00.459950", "y": 100}, {"x": "2021-03-21T19:00:50.012767", "y": 100}];');
parse
var crop = JSON.parse('[{"x": "2021-03-21T16:50:19.679333", "y": 92}, {"x": "2021-03-21T17:30:12.526285", "y": 100}, {"x": "2021-03-21T17:33:28.971222", "y": 100}, {"x": "2021-03-21T18:08:17.392409", "y": 100}, {"x": "2021-03-21T18:34:30.595492", "y": 100}, {"x": "2021-03-21T18:36:00.459950", "y": 100}, {"x": "2021-03-21T19:00:50.012767", "y": 100}]');

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
eval
parse

Fastest: N/A

Slowest: N/A

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

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**Overview of the Benchmark**

The provided JSON represents a benchmarking test on MeasureThat.net, which compares the performance of two approaches: using the `eval` function to parse an array of objects and using the `JSON.parse()` method to achieve the same result. The test is designed to measure the execution speed of these approaches.

**Options being compared**

The two options being compared are:

1. **`eval`**: This function parses a string as JavaScript code, allowing you to execute arbitrary JavaScript code.
2. **`JSON.parse()`**: This method parses a JSON-formatted string into a JavaScript object.

**Pros and Cons of each approach**

### `eval`

Pros:

* Can be used to parse and execute dynamic JavaScript code.
* Allows for flexibility in parsing and processing data.

Cons:

* Performance overhead due to the interpretation of arbitrary code.
* Security risks if not used carefully, as it can execute malicious code.
* Not designed for performance-critical applications.

### `JSON.parse()`

Pros:

* Fast and efficient, ideal for large-scale data processing.
* Secure, as it only parses JSON-formatted data.
* Widely supported by most modern JavaScript engines.

Cons:

* Limited flexibility in parsing and processing data.
* May require additional processing steps if the parsed data needs to be manipulated or transformed.

**Library and syntax considerations**

Neither `eval` nor `JSON.parse()` rely on external libraries. However, it's worth noting that some browsers may use internal optimizations or caching for certain methods, which could impact performance.

There are no special JavaScript features or syntax used in this benchmark.

**Other alternatives**

If you were to implement a similar benchmark, you might consider the following alternative approaches:

1. **Using a parser library**: Instead of relying on `eval` or `JSON.parse()`, you could use dedicated parsing libraries like JSON-LD, JSON-Schema, or even homegrown parsers.
2. **Native array operations**: You could explore using native JavaScript array methods like `map()`, `filter()`, and `reduce()` to process the data, which might offer better performance than the current approaches.
3. **Just-In-Time (JIT) compilation**: Some modern JavaScript engines use JIT compilation to optimize performance-critical code paths.

Keep in mind that these alternatives would likely require significant changes to the benchmark setup and test cases.

**Benchmark preparation**

The provided Script Preparation Code for each test case is empty, which means you would need to write your own code to generate the input data and execute the `eval` or `JSON.parse()` function. The HTML Preparation Code is also empty, indicating that no specific HTML structure or rendering is required for this benchmark.

By understanding the nuances of these approaches, you can design more effective benchmarks and evaluate different techniques for parsing and processing complex data structures in JavaScript.

Related benchmarks:

eval vs json parse for array of objects (version: 0)

Comparing performance of: eval vs parse

Created: 5 years ago by: Guest

Jump to the latest result

eval

parse

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):