Benchmark: data management - MeasureThat.net

Script Preparation code:

function Group() {
  this.nodes = {};
}

function Node(id) {
  this.id = id;
  this.inGroup = {};
}

function Set() {
  this.groups = {foo: new Group(), bar: new Group()};
  
  var node = new Node("blah");
  this.groups.foo.nodes.blah = node;
  this.groups.bar.nodes.blah = node;
  
  node.inGroup.foo = node;
  node.inGroup.bar = node;
}

Set.prototype.getGroup = function(name) { return this.groups[name]; };

Group.prototype.getNode = function(id) { return this.nodes[id]; };

Node.prototype.getInOtherGroup = function(name) { return this.inGroup[name]; };

var set = new Set();

Tests:

indexing
var x = set.groups["foo"].nodes["blah"].inGroup["bar"];
functions
var x = set.getGroup("foo").getNode("blah").getInOtherGroup("bar");

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
indexing
functions

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 dive into the Benchmark Definition and test cases provided.

**Benchmark Definition**

The benchmark measures the performance of two approaches to data management in JavaScript: functions vs indexing.

In this scenario, we have a `Set` object that contains groups and nodes. Each group has an array of nodes, and each node is part of multiple groups (in-group). The benchmark focuses on accessing a node's in-group using either functions or indexing.

**Functions Approach**

The "functions" test case uses the following code:
```javascript
var x = set.getGroup("foo").getNode("blah").getInOtherGroup("bar");
```
This approach relies on the `Set` object's methods, such as `getGroup`, `getNode`, and `getInOtherGroup`. These methods are likely implemented as functions within the `Set` class.

**Indexing Approach**

The "indexing" test case uses the following code:
```javascript
var x = set.groups["foo"].nodes["blah"].inGroup["bar"];
```
This approach relies on direct indexing into the object's properties, using the dot notation (`.`).

**Comparison of Approaches**

Here are some pros and cons of each approach:

**Functions Approach**

Pros:

* Can be more flexible and allow for dynamic method calls
* May be easier to read and maintain, especially in complex scenarios

Cons:

* May have performance overhead due to function call overhead
* May not be as efficient as direct indexing, especially for small objects

**Indexing Approach**

Pros:

* Typically faster than function calls, since it avoids the overhead of method invocation
* Can be more efficient for large objects or arrays

Cons:

* May be less flexible and harder to read, especially in complex scenarios
* Requires knowledge of the object's structure and property names

**Library Usage**

The benchmark uses a custom `Set` class, which is not a built-in JavaScript object. The `Set` class has methods like `getGroup`, `getNode`, and `getInOtherGroup`, which are likely implemented as functions.

**Special JS Features or Syntax**

There are no special JS features or syntax used in this benchmark. It's a straightforward comparison of two approaches to data management.

**Alternatives**

Some alternative approaches to this benchmark could include:

* Using built-in JavaScript objects like `Map` or `WeakMap`, which provide similar functionality to the custom `Set` class.
* Implementing a caching mechanism to reduce the overhead of method calls.
* Using a Just-In-Time (JIT) compiler to optimize the performance of the function calls.

Overall, this benchmark provides a good comparison of two approaches to data management in JavaScript. By understanding the pros and cons of each approach, developers can make informed decisions about which approach to use in their own code.

Related benchmarks:

data management (version: 0)

functions vs indexing

Comparing performance of: indexing vs functions

Created: 7 years ago by: Guest

Jump to the latest result

indexing

functions

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):