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The Cloud SQL high-transaction-ID-utilizationrecommender proactivelygenerates recommendations that help you avoid potential transaction ID wraparound forCloud SQL for PostgreSQL instances.The Cloud SQL high-transaction-ID-utilization recommender is supported only forCloud SQL Enterprise Plus edition instances.
You can apply this recommendation when a Cloud SQL instance is trendingtoward a transaction ID wraparound problem.This page describes how the Cloud SQL high-transaction-ID-utilization recommenderworks and how you can use it.
How it works
A transaction ID is assigned when the transaction starts, and it's frozen untilthe transaction is vacuumed. Transaction ID utilization is the number of unvacuumed transactions(assigned minus frozen) expressed as a fraction of the maximum value of 2 billion.Under the default PostgreSQL settings, with vacuum processes performing optimallyand without interruption, most databases experience transaction ID utilization in the regionof approximately 10%. Higher transaction ID utilization levels can be observed in busy databaseswhere regular workloads frequently take precedence over vacuum. If the transaction ID utilization trends towardsvery high values (80% or more), the database might be at risk of transaction ID exhaustion.Transaction ID utilization reaching 100% is termed as transaction ID wraparound.Once the transaction ID utilization percentage reaches 100%, PostgreSQL stops accepting write queries.
The Cloud SQL high-transaction-ID-utilization recommender analyzes transaction IDutilization on a Cloud SQL for PostgreSQL instance.
If the transaction ID utilization percentage is more than or equal to 80%, it's recommended to take actions toavoid transaction ID wraparound.
Note: Recommendations are generated daily.Pricing
The Cloud SQL high-transaction-ID-utilization recommender is in theStandardRecommender pricing tier.
Before you begin
Before you can view recommendations and insights, do the following:
- To get the permissions to view and work with insights and recommendations,ensure that you have the requiredroles.
For more information about roles, seeunderstanding roles andgranting IAM permissions.Tasks Roles View recommendations One of these roles: recommender.cloudsqlViewerorcloudsql.viewer.Apply recommendations One of these roles: recommender.cloudsqlAdmin,cloudsql.editor, orcloudsql.admin. Enable the Recommender API.
Roles required to enable APIs
To enable APIs, you need the Service Usage Admin IAM role (
roles/serviceusage.serviceUsageAdmin), which contains theserviceusage.services.enablepermission.Learn how to grant roles.
List Improve Instance Performance recommendations
You can list the Improve Instance Performance recommendations byusing the Google Cloud console,gcloud CLI, or the Recommender API.
The improve instance performance recommendations are shown only if you have instances thatare nearing a transaction ID wraparound.
Console
To list recommendations about instance performance using theGoogle Cloud console, follow these steps:
Go to theCloud SQL Instances page.
ClickView all on the Prevent transaction ID wraparound recommendations banner.
Alternatively, follow these steps:
Go to theActive Assist. See alsoGetting started with Recommendation Hub.
In theImprove Cloud SQL Instance Performance card, clickView all.
Select the instances withPrevent transaction ID wraparound recommendation.
gcloud CLI
To list Improve Instance Performance recommendations by usinggcloud CLI, run thegcloud recommender recommendations listcommand as follows:
gcloud recommender recommendations list \--project=PROJECT_ID \--location=LOCATION \--recommender=google.cloudsql.instance.PerformanceRecommender \--filter=recommenderSubtype=POSTGRES_HIGH_TRANSACTION_ID_UTILIZATION_BEST_PRACTICE
Replace the following:
PROJECT_ID: Your project IDLOCATION: A region, such asus-central1
API
To list Improve Instance Performance recommendations by using theRecommendations API, call therecommendations.listmethod as follows:
GET https://recommender.googleapis.com/v1beta1/projects/PROJECT-ID/locations/LOCATION/recommenders/google.cloudsql.instance.PerformanceRecommender.PostgresHighTransactionIdUtilizationBestPractice/recommendations
Replace the following:
PROJECT_ID: Your project ID.LOCATION: A region, such asus-central1.
If the recommender detects instances with high transaction ID utilization, it lists them in a tablewith other performance recommendations.Each row shows the instance ID, a brief recommendation, database engine, the location, and the last refresh date.
View insights and detailed recommendations
You can view insights and detailed recommendations about instancesthat are trending toward a transaction ID wraparound using the Google Cloud console,gcloud CLI, or the Recommender API.
Console
To view insights and detailed recommendations about instances that are close to the performance threshold by using the Google Cloud console, click the recommendationlink in the list of instances.
gcloud CLI
To view insights and detailed recommendations about instances that are close to the performance threshold by usinggcloud CLI, run thegcloud recommender insights listcommand as follows:
gcloud recommender insights list \--project=PROJECT_ID \--location=LOCATION \--insight-type=google.cloudsql.instance.PerformanceInsight \--filter=insightSubtype=POSTGRES_HIGH_TRANSACTION_ID_UTILIZATION
Replace the following:
PROJECT_ID: Your project ID.LOCATION: A region, such asus-central1.
API
To view insights and detailed recommendations about instances that are close to the performance thresholdby using theRecommendations API,call theinsights.listmethod as follows:
GET https://recommender.googleapis.com/v1beta1/projects/PROJECT-ID/locations/LOCATION/insightTypes/google.cloudsql.instance.PerformanceRecommender.PostgresHighTransactionIdUtilization/insights
Replace the following:
PROJECT_ID: Your project ID.LOCATION: A region, such asus-central1.
The following table lists the insight and recommendation that the Cloud SQLhigh-transaction-ID-utilization recommender generates. The subtypes are visible in thegcloud CLI andAPI results.
| Insight | Recommendation |
|---|---|
| Transaction ID utilization percentage on this instance is high and close to 100%. Subtype: POSTGRES_HIGH_TRANSACTION_ID_UTILIZATION | Avoid potential transaction ID wraparound for Cloud SQL instances. Subtype: POSTGRES_HIGH_TRANSACTION_ID_UTILIZATION_BEST_PRACTICE |
Apply recommendations
Evaluate the recommendations carefully and do any of the following:
To examine the recommendation, clickView instance. SeeOptimize the performance of your instance orPrevent transaction ID wraparound and follow the recommendations.
To dismiss the recommendation so that it's de-emphasized and appears dimmed,clickDismiss.
To close the panel without applying or dismissing the recommendation, clickCancel.
Optimize the performance of your instance
To address the transaction ID wraparound problem with the instance, do the following:
For additional information, also see the blog postUsing VACUUM to accelerate transaction ID freezing in Cloud SQL for PostgreSQL.
Prevent transaction ID wraparound
To prevent transaction ID wraparound for an instance, run the following command:
SELECT * FROM google_vacuum_mgmt.pg_fix_wraparound();
Example output:
postgres=> select * from google_vacuum_mgmt.pg_fix_wraparound();-[ RECORD 1 ]-----+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------issue_description | Cloud SQL for PostgreSQL has detected an open prepared transaction on your instance which is blocking VACUUM. Monitor the transaction ID utilization and commit or rollback the transaction, as needed.query | ROLLBACK PREPARED 'trx_id_pin'; or COMMIT PREPARED 'trx_id_pin';recommendation | To commit a prepared transaction, you must be connected as the same user that originally executed the transaction: postgresinsights | Transaction ID Utilization: 88.49%
What's next
- Monitor disk availability
- Identify idle Cloud SQL instances
- Reduce overprovisioned Cloud SQL instances
- ExploreGoogle Cloud recommenders
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Last updated 2025-12-17 UTC.