Top strategies for managing fixed datasets

Question

Top strategies for managing fixed datasets

Imagine having a dataset containing country names and their corresponding phone prefixes, like so:

var countryPhonePrefixes = [
    {
        'name': 'Germany',
        'prefix': '+49'
    },
    {
        'name': 'France',
        'prefix': '+33'
    },
    // and many more entries
];

Including this in your development code could easily result in over 1000 lines (before minifying). My question is, are there any recommended approaches for handling and accessing datasets like this?

I have considered:

Keeping it within the code and utilizing IDE collapse functions to manage its visibility.
Moving it to a separate JavaScript file, where additional functionality related to the dataset can be implemented. Various JavaScript libraries support this approach.
Using AJAX to fetch the data. For example: jQuery.getJSON() from a .json file on your server; xhttp.open() & xhttp.send() to an API on your server, and so on.

Additional context: This dataset is needed for populating <option> elements in a country phone prefix selector used across multiple forms in the application. There is already an icon select feature in the application that aligns with the first solution I mentioned.

javascript arrays json

Answer 1

Answer №1

Storing 1000 lines of Javascript data in its own file is essential for efficient development. The size of the data makes it impractical to coexist with script logic.

If the data is static, consider saving and maintaining it in a separate file, then importing it into other files using a module bundler like Webpack. This will package the script into a single .js file for delivery to the client.

For dynamic data that changes between requests, avoid bundling it with other code. Instead, you have two options:

Send the data to the client through a network request. While effective, this method slightly delays making the data usable.
An alternative option is to embed the data within its own <script> tag. Your Javascript can then parse the contents of the script tag, like so:

const data = JSON.parse(
  document.querySelector('script[type="application/json"]').textContent
);

console.log(data);

<script type="application/json">[{"foo":"bar"}]</script>

Answer 2

Storing 1000 lines of Javascript data in its own file is essential for efficient development. The size of the data makes it impractical to coexist with script logic.

If the data is static, consider saving and maintaining it in a separate file, then importing it into other files using a module bundler like Webpack. This will package the script into a single .js file for delivery to the client.

For dynamic data that changes between requests, avoid bundling it with other code. Instead, you have two options:

Send the data to the client through a network request. While effective, this method slightly delays making the data usable.
An alternative option is to embed the data within its own <script> tag. Your Javascript can then parse the contents of the script tag, like so:

const data = JSON.parse(
  document.querySelector('script[type="application/json"]').textContent
);

console.log(data);

<script type="application/json">[{"foo":"bar"}]</script>

Answer 3

Answer №2

If you want to retrieve prefixes using the name attribute, you can create an object where the name serves as the key and the corresponding prefix is the value.

This method streamlines the code and enables seamless access to the prefix information.

phoneCountryCodes = {
    Portugal: '+351',
    Germany: '+49'
};

Answer 4

If you want to retrieve prefixes using the name attribute, you can create an object where the name serves as the key and the corresponding prefix is the value.

This method streamlines the code and enables seamless access to the prefix information.

phoneCountryCodes = {
    Portugal: '+351',
    Germany: '+49'
};

Top strategies for managing fixed datasets

Answer №1

Answer №2

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