The executeFirestoreBatch
utility streamlines the process of executing multiple Firestore operations in a batch. This is crucial for ensuring atomic transactions across different documents in Firestore, where either all operations succeed or none at all.
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.
Create an array of FirestoreOperation
objects, specifying the operation type, document reference, and data for each operation:
Pass the array of operations to executeFirestoreBatch
to perform them as an atomic transaction:
For batches with more than 500 operations, executeFirestoreBatch
automatically chunks them into smaller groups, adhering to Firestore’s limitations on batch size.
While batching operations can be powerful, it’s important to use this utility judiciously to maintain performance and avoid exceeding Firestore’s operational limits.
The executeFirestoreBatch
utility streamlines the process of executing multiple Firestore operations in a batch. This is crucial for ensuring atomic transactions across different documents in Firestore, where either all operations succeed or none at all.
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.
Create an array of FirestoreOperation
objects, specifying the operation type, document reference, and data for each operation:
Pass the array of operations to executeFirestoreBatch
to perform them as an atomic transaction:
For batches with more than 500 operations, executeFirestoreBatch
automatically chunks them into smaller groups, adhering to Firestore’s limitations on batch size.
While batching operations can be powerful, it’s important to use this utility judiciously to maintain performance and avoid exceeding Firestore’s operational limits.