Benchmark: Multiple Attributes Performance III

HTML Preparation code:

<script src="https://d3js.org/d3.v5.min.js"></script>

Script Preparation code:

const data = d3.range(100).map(() => ({
  x: Math.random() * 300,
  y: Math.random() * 150
}));

const svg = d3.select("body")
  .append("svg");
  
const circles = svg.selectAll("circle")
	.data(data)
  .enter()
  .append("circle")
  .attr("cx", d=>d.x)
  .attr("cy", d=>d.y)
  .attr("r", 2)
  .style("fill", "teal");

Tests:

Default
const data = d3.range(100).map(() => ({ x: Math.random() * 300, y: Math.random() * 150 })); const svg = d3.select("svg"); const circles = svg.selectAll("circle") .data(data) .attr("cx", d=>d.x) .attr("cy", d=>d.y) .attr("r", 2) .style("fill", "teal");
each with setAttribute
const data = d3.range(100).map(() => ({ x: Math.random() * 300, y: Math.random() * 150 })); const svg = d3.select("svg"); const circles = svg.selectAll("circle") .data(data) .each((d, i, n) => { n[i].setAttribute("cx", d.x); n[i].setAttribute("cy", d.y); n[i].setAttribute("r", 2); }) .style("fill", "teal")
setAttribute with loop
const data = d3.range(100).map(() => ({ cx: Math.random() * 300, cy: Math.random() * 150, r: 2 })); const svg = d3.select("svg"); const circles = svg.selectAll("circle") .data(data) .each((d, i, n) => { for(let key in d){ n[i].setAttribute(key, d[key]) } }) .style("fill", "teal")
Detached
const data = d3.range(100).map(() => ({ cx: Math.random() * 300, cy: Math.random() * 150, r: 2 })); const svg = d3.select("svg").remove(); const circles = svg.selectAll("circle") .data(data) .attr("cx", d=>d.x) .attr("cy", d=>d.y) .attr("r", 2) .style("fill", "teal"); d3.select("body") .append(() => svg.node())

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Default
each with setAttribute
setAttribute with loop
Detached

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

**Overview of the Benchmark**

MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The provided benchmark is designed to test the performance of various approaches for updating attributes in an SVG element using the D3.js library.

**Benchmark Definition JSON**

The benchmark definition includes a script preparation code, which creates a dataset of 100 random points and appends an SVG element with circles. The `enter()` method is used to update the attributes of the SVG elements.

**Individual Test Cases**

There are four test cases:

1. **Default**: This test case uses the default behavior of D3.js for updating attributes in the `data()` function.
2. **each with setAttribute**: In this test case, the `each()` function is used to update the attributes of the SVG elements individually using the `setAttribute()` method.
3. **setAttribute with loop**: Similar to the previous test case, but uses a loop to iterate over the properties of each object in the dataset and updates their attributes using `setAttribute()`.
4. **Detached**: This test case creates an isolated SVG element without referencing it in the main DOM.

**Options Compared**

The four test cases compare different approaches for updating attributes in the SVG elements:

* **Default**: Uses the default behavior of D3.js, which likely uses some form of caching or memoization.
* **each with setAttribute**: Manually updates each attribute individually using `setAttribute()`.
* **setAttribute with loop**: Iterates over each property of each object in the dataset and updates their attributes using `setAttribute()`.
* **Detached**: Creates an isolated SVG element without referencing it in the main DOM, which may affect performance.

**Pros and Cons**

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

* **Default**: Pros: likely to be faster due to caching or memoization. Cons: not explicitly visible in code.
* **each with setAttribute**: Pros: more explicit control over updates. Cons: may incur additional overhead due to manual attribute updates.
* **setAttribute with loop**: Pros: provides more detailed information about attribute updates. Cons: may be slower due to the loop.
* **Detached**: Pros: creates an isolated SVG element, which may reduce conflicts and improve performance. Cons: requires additional code to set up and manage the detached element.

**Library and Special Features**

The benchmark uses D3.js library, which is a popular JavaScript library for producing dynamic, interactive data visualizations. The test cases use various features of D3.js, such as the `data()` function and `setAttribute()` method.

There are no special JS features or syntax used in this benchmark that would require additional explanation.

**Other Alternatives**

If you're looking to optimize SVG performance or create custom attribute updates in your own code, here are some alternatives:

* Use a more lightweight library like Chart.js or Vega.js.
* Implement custom attribute updates using the `setAttribute()` method or other low-level DOM APIs.
* Explore other optimization techniques, such as lazy rendering or batch updating.

Keep in mind that the best approach will depend on your specific use case and requirements.

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64; rv:101.0) Gecko/20100101 Firefox/101.0

Browser/OS: Firefox 101 on Linux

View result in a separate tab

Test name	Executions per second
Default	1414.9 Ops/sec
each with setAttribute	1717.6 Ops/sec
setAttribute with loop	1655.1 Ops/sec
Detached	2410.2 Ops/sec

Related benchmarks:

Multiple Attributes Performance III (version: 0)

Comparing performance of: Default vs each with setAttribute vs setAttribute with loop vs Detached

Created: 4 years ago by: Guest

Jump to the latest result

Default

each with setAttribute

setAttribute with loop

Detached

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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