Benchmark: Updating table as whole vs Updating particular cell

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.6.0/jquery.min.js" integrity="sha512-894YE6QWD5I59HgZOGReFYm4dnWc1Qt5NtvYSaNcOP+u1T9qYdvdihz0PPSiiqn/+/3e7Jo4EaG7TubfWGUrMQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
<table id='testTable'>
    <tbody>
        <tr id='countRow'>
            <td class='count'>0</td>
        </tr>
    </tbody>
</table>

Script Preparation code:

var $testTable = $("#testTable");

var count = 0;

function updateWhole() {
    $testTable.html("<tbody><tr id='countRow'><td class='count'>" + count + "h</td></tr></tbody>");
}

function updateCell() {
    var $elem = $("#countRow .count");
    var cnt = parseInt($elem.text() || 0);
    $elem.text(++cnt);
}

Tests:

Take count from element and update
updateCell();
Update whole table
count++; updateWhole();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Take count from element and update
Update whole table

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 dive into the world of JavaScript microbenchmarks!

**Benchmark Definition**

The provided JSON represents two benchmark tests: "Updating table as whole vs Updating particular cell". These tests measure the performance difference between updating an entire HTML table versus updating only a specific cell within that table.

**Options being compared**

There are two approaches being tested:

1. **Updating the whole table**: This approach involves rendering an entire new table row with updated data, replacing the existing table.
2. **Updating a particular cell**: This approach involves updating the text content of a single cell in the existing table, without affecting other cells.

**Pros and Cons**

**Updating the whole table:**

Pros:

* Efficient for large tables or complex layout changes
* Can be beneficial for search functionality, filtering, or sorting

Cons:

* Can lead to unnecessary reflows or repaints, potentially causing performance issues
* May result in slower updates if the table is extensive or has many dependencies

**Updating a particular cell:**

Pros:

* Efficient and fast, as only one element needs to be updated
* Reduces unnecessary reflows or repaints

Cons:

* May not be suitable for tables with complex layout changes or many dependencies
* Can lead to slower updates if the table is extensive

**Library usage**

The benchmark script uses jQuery, a popular JavaScript library for DOM manipulation and event handling. In this case, jQuery is used to:

* Select HTML elements using `$`
* Manipulate the DOM by modifying the `innerHTML` property

**Special JS feature or syntax**

There is no explicit mention of any special JavaScript features or syntax in the provided code.

However, it's worth noting that the use of jQuery and the specific way of updating the table rows might be specific to certain browsers or versions.

**Other alternatives**

If you're looking for alternative approaches or libraries for benchmarking similar scenarios, here are some options:

1. **Vanilla JavaScript**: You can write the same benchmark tests without using any libraries like jQuery.
2. **React**: A popular React component library that can be used to benchmark updates to individual components or entire lists.
3. **Vue.js**: Another popular front-end framework that provides a similar set of APIs for updating and rendering DOM elements.
4. **Puppeteer**: An Node.js library developed by the Chrome team, which allows you to automate web browsers programmatically.

Keep in mind that these alternatives might require more code and setup, but can provide valuable insights into browser performance and optimization techniques.

Related benchmarks:

Updating table as whole vs Updating particular cell (version: 0)

Comparing performance of: Take count from element and update vs Update whole table

Created: 4 years ago by: Registered User

Jump to the latest result

Take count from element and update

Update whole table

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):