Batch limits and best practices in Firebase - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the maximum number of operations allowed in a single Firestore batch write?

A single Firestore batch write can include up to 500 operations.

beginner

Why should you avoid very large batch writes in Firestore?

Very large batch writes can cause delays, increase the chance of failures, and make error handling harder. It's better to keep batches small and manageable.

intermediate

What is a good practice when handling batch write failures in Firebase?

Retry only the failed batch or operations, and implement exponential backoff to avoid overwhelming the server.

intermediate

How can you improve performance when writing many documents in Firestore?

Split writes into multiple batches of 500 or fewer operations and run them in parallel if possible.

beginner

What happens if you exceed the batch write limit in Firestore?

The batch write will fail with an error, and no operations in that batch will be applied.

What is the maximum number of operations allowed in a Firestore batch write?

A 500

B 1000

C 200

D 50

Firestore batch writes support up to 500 operations per batch.

What is a recommended way to handle batch write failures?

A Split the batch into single operations and retry all

B Ignore the failure and continue

C Retry the entire batch immediately without delay

D Retry failed operations with exponential backoff

Retrying failed operations with exponential backoff helps avoid overwhelming the server.

Why should you split large writes into smaller batches?

A To avoid writing duplicate data

B Because Firestore charges less for smaller batches

C To reduce the chance of failure and improve performance

D Because Firestore does not support batch writes

Smaller batches reduce failure risk and can be processed faster.

What happens if a batch write exceeds the limit?

A The batch fails and no operations are applied

B The batch partially succeeds

C The batch is automatically split

D The batch is queued for later

Firestore rejects the entire batch if it exceeds the operation limit.

How can you improve throughput when writing many documents?

A Write documents one by one sequentially

B Split writes into multiple batches and run them in parallel

C Write all documents in one large batch

D Use transactions instead of batch writes

Parallel batches improve throughput while respecting limits.

Explain the batch write limits in Firestore and why they matter.

Think about how many operations you can group safely.

Describe best practices for handling large numbers of writes in Firebase.

Consider performance and error handling.