Resolve latency issues

Relevant to Cloud Firestore Enterprise edition only.

This page shows you how to resolve latency issues with Cloud Firestore with MongoDB compatibility.

Latency

The following table describes possible causes of increased latency:

Latency cause	Types of operations affected	Resolution
Sustained, increasing traffic.	read, write	For rapid traffic increases, Cloud Firestore with MongoDB compatibility attempts to automatically scale to meet the increased demand. When Cloud Firestore with MongoDB compatibility scales, latency begins to decrease. Hot-spots (high read, write, and delete rates to a narrow document range) limit the ability of Cloud Firestore with MongoDB compatibility to scale. Review Avoid hot-spots and identify hot-spots in your application.
Contention, either from updating a single document too frequently or from transactions.	read, write	Reduce the write rate to individual documents. Reduce the number of documents updated in a single write transaction.
Large reads that return many documents.	read	Use pagination to split large reads.
Too many recent deletes.	read This greatly affects operations that list collections in a database.	If latency is caused by too many recent deletes, the issue should automatically resolve after some time. If the issue does not resolve, contact support.
Index fanout, especially for array fields and embedded document fields.	write	Review your indexing of array fields and embedded document fields.
Large writes.	write	Try reducing the number of writes in each operation. For bulk data entry where you don't require atomicity, use parallelized individual writes.