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Introduction

Retrieving multiple documents from a Firestore query typically involves processing a query snapshot. The readQuerySnapshot function streamlines this process by transforming a query snapshot into an easily manageable array of document data objects, each including the document ID.

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Key Features

• Simplified Data Extraction: Converts query snapshots into an array of data objects with document IDs.
• Excludes Non-Existent Documents: Automatically filters out documents that do not exist, ensuring data integrity.
• Type Safety with Generics: Supports generic typing for document data, enhancing type safety and reducing errors.

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Utilization

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Preparing for Query Snapshot Reads

Import readQuerySnapshot to handle Firestore query snapshot processing:

import { firestore } from 'firebase-admin'
import { readQuerySnapshot } from 'path-to-your-utilities'

// Assuming 'querySnapshot' is obtained from a Firestore query
const querySnapshot: firestore.QuerySnapshot = firestore()
  .collection('path/to/collection')
  .get()

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Extracting Data Array from a Query Snapshot

Use readQuerySnapshot to process the query snapshot into an array of document data objects:

// Process the query snapshot
const documentsArray = readQuerySnapshot(querySnapshot)

// 'documentsArray' contains an array of objects, each with document data and ID

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Handling Empty or Non-Existent Documents

readQuerySnapshot ensures that only existing documents are included in the returned array, skipping any documents that are not found in the database.

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Best Practices

• Utilize readQuerySnapshot for batch data retrieval from Firestore to ensure consistent data handling.
• Leverage the generic typing feature to maintain type safety across your Firestore data processing.
• Always verify the returned array, especially in cases where the query might return no documents.