Google Cloud Firestore

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Overview

Google Cloud Firestore is a flexible, scalable database for mobile, web, and server development from Firebase and Google Cloud Platform.

Use the Datadog Google Cloud Platform integration to collect metrics from Google Cloud Firestore.

Setup

Installation

If you haven’t already, set up the Google Cloud Platform integration first. There are no other installation steps.

Log collection

Google Cloud Firestore logs are collected with Google Cloud Logging and sent to a Dataflow job through a Cloud Pub/Sub topic. If you haven’t already, set up logging with the Datadog Dataflow template.

Once this is done, export your Google Cloud Firestore logs from Google Cloud Logging to the Pub/Sub topic:

Go to the Google Cloud Logging page and filter the Google Cloud Firestore logs.
Click Create Export and name the sink.
Choose “Cloud Pub/Sub” as the destination and select the Pub/Sub topic that was created for that purpose. Note: The Pub/Sub topic can be located in a different project.
Click Create and wait for the confirmation message to show up.

Data Collected

Metrics


gcp.firestore.api.request_count (count)	Count of Firestore API calls.
gcp.firestore.api.request_latencies.avg (count)	The average non-streaming Firestore v1, Datastore v1, and Datastore v3 request latencies from the frontend. Shown as second
gcp.firestore.api.request_latencies.samplecount (count)	The sample count for non-streaming Firestore v1, Datastore v1, and Datastore v3 request latencies from the frontend. Shown as second
gcp.firestore.api.request_latencies.sumsqdev (count)	The sum of squared deviation for non-streaming Firestore v1, Datastore v1, and Datastore v3 request latencies from the frontend. Shown as second
gcp.firestore.composite_indexes_per_database (gauge)	Current number of composite indexes per database.
gcp.firestore.document.delete_count (count)	The number of successful document deletes.
gcp.firestore.document.delete_ops_count (count)	The number of successful document deletes.
gcp.firestore.document.read_count (count)	The number of successful document reads from queries or lookups.
gcp.firestore.document.read_ops_count (count)	The number of successful document reads from queries or lookups.
gcp.firestore.document.ttl_deletion_count (count)	Total count of documents deleted by TTL services.
gcp.firestore.document.ttl_expiration_to_deletion_delays.avg (count)	The average time elapsed between when a document with a TTL expired, and when it was actually deleted. Shown as second
gcp.firestore.document.ttl_expiration_to_deletion_delays.samplecount (count)	The sample count for time elapsed between when a document with a TTL expired, and when it was actually deleted. Shown as second
gcp.firestore.document.ttl_expiration_to_deletion_delays.sumsqdev (count)	The sum of squared deviation for time elapsed between when a document with a TTL expired, and when it was actually deleted. Shown as second
gcp.firestore.document.write_count (count)	The number of successful document writes.
gcp.firestore.document.write_ops_count (count)	The number of successful document writes.
gcp.firestore.field_configurations_per_database (gauge)	Current number of field configurations per database.
gcp.firestore.network.active_connections (gauge)	The number of active connections. Each mobile client will have one connection. Each listener in admin SDK will be one connection.
gcp.firestore.network.snapshot_listeners (gauge)	The number of snapshot listeners currently registered across all connected clients.
gcp.firestore.query_stat.per_query.result_counts.avg (count)	The average distribution of number of results yielded per query. Real-time queries are excluded. Note. This metric is for performance observability. It is not relevant to billing calculations. To understand how read operations contribute to your bill, use `firestore.googleapis.com/document/read_ops_count`.
gcp.firestore.query_stat.per_query.result_counts.samplecount (count)	The sample count for distribution of number of results yielded per query. Real-time queries are excluded. Note. This metric is for performance observability. It is not relevant to billing calculations. To understand how read operations contribute to your bill, use `firestore.googleapis.com/document/read_ops_count`.
gcp.firestore.query_stat.per_query.result_counts.sumsqdev (count)	The sum of squared deviation for distribution of number of results yielded per query. Real-time queries are excluded. Note. This metric is for performance observability. It is not relevant to billing calculations. To understand how read operations contribute to your bill, use `firestore.googleapis.com/document/read_ops_count`.
gcp.firestore.query_stat.per_query.scanned_documents_counts.avg (count)	The average distribution of number of documents scanned per query. Real-time queries are excluded. Note. This metric is for performance observability. It is not relevant to billing calculations. To understand how read operations contribute to your bill, use `firestore.googleapis.com/document/read_ops_count`.
gcp.firestore.query_stat.per_query.scanned_documents_counts.samplecount (count)	The sample count for distribution of number of documents scanned per query. Real-time queries are excluded. Note. This metric is for performance observability. It is not relevant to billing calculations. To understand how read operations contribute to your bill, use `firestore.googleapis.com/document/read_ops_count`.
gcp.firestore.query_stat.per_query.scanned_documents_counts.sumsqdev (count)	The sum of squared deviation for distribution of number of documents scanned per query. Real-time queries are excluded. Note. This metric is for performance observability. It is not relevant to billing calculations. To understand how read operations contribute to your bill, use `firestore.googleapis.com/document/read_ops_count`.
gcp.firestore.query_stat.per_query.scanned_index_entries_counts.avg (count)	The average distribution of number of scanned index entries per query. Real-time queries are excluded. Note. This metric is for performance observability. It is not relevant to billing calculations. To understand how read operations contribute to your bill, use `firestore.googleapis.com/document/read_ops_count`.
gcp.firestore.query_stat.per_query.scanned_index_entries_counts.samplecount (count)	The sample count for distribution of number of scanned index entries per query. Real-time queries are excluded. Note. This metric is for performance observability. It is not relevant to billing calculations. To understand how read operations contribute to your bill, use `firestore.googleapis.com/document/read_ops_count`.
gcp.firestore.query_stat.per_query.scanned_index_entries_counts.sumsqdev (count)	The sum of squared deviation for distribution of number of scanned index entries per query. Real-time queries are excluded. Note. This metric is for performance observability. It is not relevant to billing calculations. To understand how read operations contribute to your bill, use `firestore.googleapis.com/document/read_ops_count`.
gcp.firestore.quota.composite_indexes_per_database.exceeded (count)	Number of attempts to exceed the limit on quota metric `firestore.googleapis.com/composite_indexes_per_database`.
gcp.firestore.quota.composite_indexes_per_database.limit (gauge)	Current limit on quota metric `firestore.googleapis.com/composite_indexes_per_database`.
gcp.firestore.quota.composite_indexes_per_database.usage (gauge)	Current usage on quota metric `firestore.googleapis.com/composite_indexes_per_database`.
gcp.firestore.rules.evaluation_count (count)	The number of Cloud Firestore Security Rule evaluations performed in response to write (create, update, delete) or read (get, list) requests.

Events

The Google Cloud Firestore integration does not include any events.

Service Checks

The Google Cloud Firestore integration does not include any service checks.

Troubleshooting

Need help? Contact Datadog support.