The executeFirestoreParallel
utility facilitates the execution of multiple Firestore operations concurrently. This function is ideal for scenarios where several independent document manipulations need to occur simultaneously, significantly improving performance by parallelizing operations.
Performing multiple Firestore operations sequentially can be time-consuming, especially when dealing with a large number of documents. executeFirestoreParallel
addresses this challenge by executing operations in parallel, enhancing the efficiency of your Firestore interactions.
Prepare an array of FirestoreOperation
objects, each specifying the operation type, target document reference, and necessary data:
Invoke executeFirestoreParallel
with the array of operations. Operations are automatically chunked for optimal performance:
For handling a large number of operations, executeFirestoreParallel
splits them into smaller groups (chunks) to maintain efficient performance and conform to Firestore’s limitations.
Parallel execution is powerful but should be used judiciously. Consider Firestore’s rate limits and quotas to avoid potential issues with large-scale operations.
The executeFirestoreParallel
utility facilitates the execution of multiple Firestore operations concurrently. This function is ideal for scenarios where several independent document manipulations need to occur simultaneously, significantly improving performance by parallelizing operations.
Performing multiple Firestore operations sequentially can be time-consuming, especially when dealing with a large number of documents. executeFirestoreParallel
addresses this challenge by executing operations in parallel, enhancing the efficiency of your Firestore interactions.
Prepare an array of FirestoreOperation
objects, each specifying the operation type, target document reference, and necessary data:
Invoke executeFirestoreParallel
with the array of operations. Operations are automatically chunked for optimal performance:
For handling a large number of operations, executeFirestoreParallel
splits them into smaller groups (chunks) to maintain efficient performance and conform to Firestore’s limitations.
Parallel execution is powerful but should be used judiciously. Consider Firestore’s rate limits and quotas to avoid potential issues with large-scale operations.