In this tutorial, we will walk you through implementing Firebase Security Rules in order to protect your data. Firebase Security Rules stand as the protection layer to your Firebase project data, ensuring only authorized reads and writes occur.
By the end of this tutorial, you will be able to:
Firebase Security Rules are written in a JSON-like syntax. They control the read, write, and validate operations on your data.
Let's dive into creating and implementing these rules.
Rules are organized in a hierarchical structure mirroring the data they protect. For example, consider the following rules for a chat application:
{
"rules": {
"messages": {
".read": "auth != null",
".write": "auth != null"
}
}
}
Here, the messages
node has two rules: .read
and .write
, both checking if a user is authenticated.
To write and implement rules:
Database
section and then the Rules
tabLet's look at some practical examples:
{
"rules": {
".read": "auth != null",
".write": "auth != null"
}
}
This rule ensures that only authenticated users can read or write data.
{
"rules": {
".read": "true",
".write": "auth != null"
}
}
Here, anyone can read the data, but only authenticated users can modify it.
Remember to click Publish
to apply these rules.
In this tutorial, we learned about Firebase Security Rules, how to write them, and implement them in your Firebase project. Always test your rules using the Firebase Emulator Suite before deploying them.
Next, try to learn more about advanced rule configurations, like validating data formats and controlling data indexing.
{
"rules": {
".read": "auth.token.email_verified == true",
".write": "auth.token.email_verified == true"
}
}
{
"rules": {
".read": "true",
".write": "newData.exists()"
}
}
{
"rules": {
".write": "newData.val().length < 100"
}
}
Keep practicing and exploring more complex rules to strengthen your Firebase Security Rules understanding. Happy coding!