Benchmark: Fly Json ODM - 1.18.2

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/fly-json-odm@1.18.2/dist/flyjson.min.js"></script>

Script Preparation code:

var nosql = new FlyJson();

var data = [];

var start = 1;
var end = 1000000;

for(var i =start;i<=end;i++) {
  data.push({ id:i, name:'user_'+i });
}

Tests:

SET + WHERE
var result = nosql.set(data).where('id',1000000).exec();
SET + WHERE (Shallow Mode)
var result = nosql.setMode('shallow').set(data).where('id',1000000).exec();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
SET + WHERE
SET + WHERE (Shallow Mode)

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 JSON benchmark and explain what's being tested.

**What is being tested?**

The test case uses a JavaScript library called FlyJson ODM (Object Data Modeling) to perform operations on a large array of objects in the browser. The benchmark measures the performance of two different approaches:

1. **SET + WHERE**: This approach sets the data using the `set` method and then filters the results using the `where` method with an ID filter.
2. **SET + WHERE (Shallow Mode)**: This approach sets the data in shallow mode using the `setMode('shallow')` method, which likely optimizes the data structure for faster filtering.

**Options compared**

The benchmark compares the performance of these two approaches on Firefox 116 browser, running on Ubuntu desktop with Linux x86_64 architecture.

**Pros and Cons of each approach:**

1. **SET + WHERE**:
	* Pros: No additional overhead from shallow mode.
	* Cons: May require more resources or memory to store the full data structure.
2. **SET + WHERE (Shallow Mode)**:
	* Pros: Optimized data structure for faster filtering, potentially using less resources or memory.
	* Cons: May introduce additional overhead due to the "shallow" mode.

**Library and its purpose**

FlyJson ODM is a lightweight JavaScript library designed for working with NoSQL databases in the browser. It provides an object-oriented interface for creating and manipulating data structures, allowing developers to easily switch between different data formats (e.g., JSON, XML).

In this benchmark, FlyJson ODM is used to set up the data structure and perform filtering operations.

**Special JS feature or syntax**

There is no explicit mention of any special JavaScript features or syntax being used in this benchmark. However, it's worth noting that some modern browsers support various features like WebAssembly, Web Workers, or async/await syntax, which might be useful for optimizing the benchmark results. If such features were utilized in the benchmark, they would likely impact the performance and execution time.

**Other alternatives**

If you're interested in exploring alternative libraries or approaches for this type of benchmark, some options could include:

* MongoDB Node.js driver (for working with MongoDB databases)
* CouchDB JavaScript library (for working with CouchDB NoSQL databases)
* PouchDB (a lightweight, offline-first database that provides similar functionality to CouchDB)
* Other NoSQL databases like RavenDB or FaunaDB
* Custom-built data structures and algorithms optimized for specific use cases.

Keep in mind that the choice of alternative libraries or approaches will depend on your specific requirements, performance goals, and target audience.

Related benchmarks:

Fly Json ODM - 1.18.2 (version: 0)

Benchmark using Fly Json ODM in browser for 1million array objects

Comparing performance of: SET + WHERE vs SET + WHERE (Shallow Mode)

Created: 2 years ago by: Registered User

Jump to the latest result

SET + WHERE

SET + WHERE (Shallow Mode)

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):