Benchmark: push vs spread in building graph from edges

Tests:

push
const edges = [ ['w', 'x'], ['x', 'y'], ['z', 'y'], ['z', 'v'], ['w', 'v'] ]; const buildGraphPush = (edges) => { let graph = {}; for (let e of edges) { const [a, b] = e; if (!(a in graph)) graph[a] = []; if (!(b in graph)) graph[b] = []; graph[a].push(b); graph[b].push(a); } return graph; }; buildGraphPush(edges);
spread
const edges = [ ['w', 'x'], ['x', 'y'], ['z', 'y'], ['z', 'v'], ['w', 'v'] ]; const buildGraphSpread = (edges) => { let graph = {}; for (let e of edges) { const [a, b] = e; graph[a] = [...(graph[a] || []), b]; graph[b] = [...(graph[b] || []), a]; } return graph; }; buildGraphSpread(edges);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
push
spread

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36

Browser/OS: Chrome 126 on Linux

View result in a separate tab

Test name	Executions per second
push	4221480.5 Ops/sec
spread	3196669.0 Ops/sec

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 data and explain what is being tested in each test case.

**Benchmark Definition**

The benchmark definition is a set of instructions that describes how to run the test. In this case, it's not present in the JSON data, so we'll move on to the individual test cases.

**Individual Test Cases**

There are two test cases:

1. **Push**
This test case defines an array `edges` containing pairs of node names (`w`, `x`, `y`, `z`, and `v`). The benchmark measures how long it takes to build a graph using the `push` method.
The graph building function `buildGraphPush` iterates over the edges, adding each node as a key in the graph object if it doesn't exist. For each edge, it pushes the second node onto the first node's array.

**Spread**

This test case is similar to the previous one, but instead of using `push`, it uses the spread operator (`...`) to add nodes to the graph.
The function `buildGraphSpread` iterates over the edges, adding each node as a key in the graph object. For each edge, it adds the second node to the first node's array using the spread operator.

**Options Compared**

In this benchmark, we have two options being compared:

1. **Push**: uses the `push` method to add nodes to the graph.
2. **Spread**: uses the spread operator (`...`) to add nodes to the graph.

**Pros and Cons of Each Approach**

1. **Push**:
	* Pros: fast and efficient, as it only adds a single node to the existing array.
	* Cons: can be slower for large graphs due to the overhead of creating a new array.
2. **Spread**:
	* Pros: creates a new array with all nodes, which can lead to better performance in some cases (e.g., when nodes are frequently added or removed).
	* Cons: slower than `push` due to the overhead of creating a new array.

**Library Used**

In neither test case is there any explicit library usage mentioned. However, it's likely that JavaScript's built-in functions and data structures are being used.

**Special JS Feature/Syntax**

There are no special JavaScript features or syntaxes explicitly used in these benchmark cases. However, the use of the spread operator (`...`) might be considered a modern JavaScript feature.

**Alternatives**

For building graphs, there are other approaches that might be relevant:

1. **Adjacency Matrix**: a matrix where each cell [i][j] represents the weight of the edge between nodes i and j.
2. **Union-Find Algorithm**: an algorithm for finding disjoint sets in a graph.

However, these alternatives might not be directly applicable to this specific benchmark case, which is focused on comparing the performance of two specific approaches (push vs spread) for building a graph from edges.

Related benchmarks:

push vs spread in building graph from edges (version: 0)

Comparing performance of: push vs spread

Created: one year ago by: Guest

Jump to the latest result

push

spread

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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