firebase realtime database where query code example

Example 1: firebase realtime database correct architecture

With this nested design, iterating through the data becomes problematic. For example, listing the titles of chat conversations requires the entire chats tree, including all members and messages, to be downloaded to the client.

Flatten data structures
If the data is instead split into separate paths, also called denormalization, it can be efficiently downloaded in separate calls, as it is needed. Consider this flattened structure:

{
  // Chats contains only meta info about each conversation
  // stored under the chats's unique ID
  "chats": {
    "one": {
      "title": "Historical Tech Pioneers",
      "lastMessage": "ghopper: Relay malfunction found. Cause: moth.",
      "timestamp": 1459361875666
    },
    "two": { ... },
    "three": { ... }
  },

  // Conversation members are easily accessible
  // and stored by chat conversation ID
  "members": {
    // we'll talk about indices like this below
    "one": {
      "ghopper": true,
      "alovelace": true,
      "eclarke": true
    },
    "two": { ... },
    "three": { ... }
  },

  // Messages are separate from data we may want to iterate quickly
  // but still easily paginated and queried, and organized by chat
  // conversation ID
  "messages": {
    "one": {
      "m1": {
        "name": "eclarke",
        "message": "The relay seems to be malfunctioning.",
        "timestamp": 1459361875337
      },
      "m2": { ... },
      "m3": { ... }
    },
    "two": { ... },
    "three": { ... }
  }
}

Example 2: firebase realtime database rules

10 Firebase Realtime Database Rule Templates

https://medium.com/@juliomacr/10-firebase-realtime-database-rule-templates-d4894a118a98