Tree, including all members and messages, to be downloaded to the client. ForĮxample, listing the titles of chat conversations requires the entire chats With this nested design, iterating through the data becomes problematic. potentially downloading hundreds of megabytes of messages of the "chats" node to get a list of conversation titles requires This is a poorly nested data architecture, because iterating the children Therefore, in practice, it's best to keep your data structure as flatįor an example of why nested data is bad, consider the following In addition, when you grant someone read or write accessĪt a node in your database, you also grant them access to all data under that However, when you fetch data at a location in your database, you also retrieveĪll of its child nodes. You might be tempted to think that this should be the default structure. Best practices for data structure Avoid nesting dataīecause the Firebase Realtime Database allows nesting data up to 32 levels deep, To help you write more maintainable code. Represented as certain native types that correspond to available JSON types The user alovelace might have a database entry thatĪlthough the database uses a JSON tree, data stored in the database can be A typical user profile is located at a path, such as You cannot use ASCII control characters in the valuesįor example, consider a chat application that allows users to store a basic If you create your own keys, they must be UTF-8 encoded, can be a maximum Such as user IDs or semantic names, or they can be provided for you using When you add data to the JSON tree, it becomes a node in theĮxisting JSON structure with an associated key. The database as a cloud-hosted JSON tree. How data is structured: it's a JSON treeĪll Firebase Realtime Database data is stored as JSON objects. Later retrieved to make that process as easy as possible. Most importantly, you need to plan for how data is going to be saved and Practices for structuring the JSON data in your Firebase Realtime Database.īuilding a properly structured database requires quite a bit of forethought. This guide covers some of the key concepts in data architecture and best
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