Speeding up cold starts with REST API for Firestore #QuickStarts

Posted by

In this tutorial, we will explore how to achieve faster cold starts by utilizing a REST API for Firestore. Cold starts refer to the initial delay in response time when a serverless function is invoked for the first time. By using a REST API for Firestore, we can reduce this delay and improve the overall performance of our application.

To begin, let’s first understand what Firestore is. Firestore is a NoSQL database offered by Google as part of the Firebase platform. It is a flexible, scalable database for building web, mobile, and server applications. Firestore stores data in documents that are organized into collections, making it easy to query and retrieve data efficiently.

Now, let’s move on to setting up a REST API for Firestore. To access Firestore data through a REST API, we will need to authenticate our requests using a service account. This service account will provide us with a private key that we can use to generate access tokens for making requests to Firestore.

To create a service account, navigate to the Firebase console and select the project you want to use with the REST API. Go to the "Settings" tab and select "Service accounts" from the left-hand menu. Click on the "Generate new private key" button to download a JSON key file containing the necessary credentials.

Next, create a new HTML file and include the following code snippet to initialize the Firebase SDK with the service account credentials:

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Firestore REST API</title>
    <script src="https://www.gstatic.com/firebasejs/8.4.3/firebase-app.js"></script>
    <script src="https://www.gstatic.com/firebasejs/8.4.3/firebase-firestore.js"></script>
</head>
<body>
    <script>
        // Initialize Firebase with service account credentials
        var config = {
            apiKey: "YOUR_API_KEY",
            authDomain: "YOUR_PROJECT_ID.firebaseapp.com",
            projectId: "YOUR_PROJECT_ID",
            storageBucket: "YOUR_PROJECT_ID.appspot.com",
            messagingSenderId: "YOUR_MESSAGING_SENDER_ID",
            appId: "YOUR_APP_ID"
        };

        firebase.initializeApp(config);
        var db = firebase.firestore();
    </script>
</body>
</html>

Replace the placeholders in the config object with the corresponding values from the JSON key file you downloaded earlier. This code initializes the Firebase SDK and connects to the Firestore database using the service account credentials.

Now, we can make HTTP requests to the Firestore REST API to retrieve or update data. Here is an example of how to fetch documents from a Firestore collection using the fetch() function in JavaScript:

fetch('https://firestore.googleapis.com/v1/projects/YOUR_PROJECT_ID/databases/(default)/documents/collection_name')
    .then(response => response.json())
    .then(data => console.log(data))
    .catch(error => console.error('Error:', error));

Replace YOUR_PROJECT_ID and collection_name in the URL with your actual project ID and collection name. This code sends a GET request to the Firestore REST API to retrieve documents from the specified collection.

By using a REST API for Firestore, we can optimize the cold start performance of our serverless functions by reducing the initial delay in accessing data. This can lead to faster response times and improved overall user experience in our applications.

0 0 votes
Article Rating
3 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
@Babbili
4 months ago

So it's to use gRPC,

@pedropimont6716
4 months ago

What about firestore/auth triggers? can I enable this feature is this case?

@emjee2120
4 months ago

Love these short feature previews!