Batch Execution

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Introduction

Handling multiple operations on Firestore documents in a single atomic transaction can be challenging. The executeFirestoreBatch function simplifies this by batching operations, ensuring consistency and integrity of your Firestore data.

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Key Features

• Atomic Transactions: Executes a series of Firestore operations as a single atomic transaction.
• Supports Multiple Operations: Handles ‘set’, ‘update’, and ‘merge’ operations on Firestore documents.
• Error Handling: Ensures all operations in a batch either succeed together or fail without committing any changes.

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Utilization

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Defining Firestore Operations

Create an array of FirestoreOperation objects, specifying the operation type, document reference, and data for each operation:

import {
  FirestoreOperation,
  executeFirestoreBatch,
} from 'path-to-your-utilities'

// Example operations
const operations: FirestoreOperation[] = [
  {
    type: 'set',
    ref: firestore().doc('path/to/doc1'),
    data: {
      /* your data */
    },
  },
  {
    type: 'update',
    ref: firestore().doc('path/to/doc2'),
    data: {
      /* your data */
    },
  },
  // Add more operations as needed
]

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Executing the Batch

Pass the array of operations to executeFirestoreBatch to perform them as an atomic transaction:

// Execute batch operations
await executeFirestoreBatch(operations)

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Handling Large Batches

For batches with more than 500 operations, executeFirestoreBatch automatically chunks them into smaller groups, adhering to Firestore’s limitations on batch size.

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Best Practices

• Structure your data and operations to minimize the need for large transactions.
• Test your batch operations thoroughly to ensure they behave as expected.
• Implement error handling to gracefully manage any issues during batch execution.