Introduction to saved queries

This document provides an introduction to saved queries and classic saved queries in BigQuery.

Saved queries

This document provides an introduction to saved queries in BigQuery. You can use saved queries to create and manage SQL scripts. Saved queries improve collaboration and query management with the following options:

  • Share queries with specific users and groups by using Identity and Access Management (IAM).
  • Review the query version history.
  • Revert to or branch from previous versions of the query.

Saved queries save both the query text and the query settings.

Saved queries are BigQuery Studio code assets powered by Dataform. Notebooks are also code assets. All code assets are stored in a default region. Updating the default region changes the region for all code assets created after that point.

Saved query capabilities are available only in the Google Cloud console.

Saved query security

You control access to saved queries by using Identity and Access Management (IAM) roles. For more information, see Grant access to saved queries.

Supported regions

BigQuery Studio lets you save, share, and manage saved queries. The following table lists the regions where BigQuery Studio is available:

Region description Region name Details
Africa
Johannesburg africa-south1
Americas
Columbus us-east5
Dallas us-south1 leaf icon Low CO2
Iowa us-central1 leaf icon Low CO2
Los Angeles us-west2
Las Vegas us-west4
Montréal northamerica-northeast1 leaf icon Low CO2
N. Virginia us-east4
Oregon us-west1 leaf icon Low CO2
São Paulo southamerica-east1 leaf icon Low CO2
South Carolina us-east1
Asia Pacific
Hong Kong asia-east2
Jakarta asia-southeast2
Mumbai asia-south1
Seoul asia-northeast3
Singapore asia-southeast1
Sydney australia-southeast1
Taiwan asia-east1
Tokyo asia-northeast1
Europe
Belgium europe-west1 leaf icon Low CO2
Frankfurt europe-west3 leaf icon Low CO2
London europe-west2 leaf icon Low CO2
Madrid europe-southwest1 leaf icon Low CO2
Netherlands europe-west4 leaf icon Low CO2
Turin europe-west12
Zürich europe-west6 leaf icon Low CO2
Middle East
Doha me-central1
Dammam me-central2

Quotas and limits

For more information, see Saved query quotas and limits.

Limitations

Saved queries have the following limitations:

Classic saved queries

Classic saved queries are an earlier way of saving and sharing SQL queries. Classic saved queries provide the query text, and the only query setting retained by a classic saved query is the SQL version. This setting governs whether the query uses legacy SQL or GoogleSQL. To query the data, users must have access to the data that the saved query accesses. For more information, see Grant access to saved queries.

There are 3 types of classic saved queries:

  • Personal. Personal classic saved queries are visible only to the user who creates them. They are identified with the icon.
  • Project-level. Project-level saved queries are visible to principals that have the required permissions. They are identified with the icon.
  • Public. Public classic saved queries are visible to anyone with a link to the query. They are identified with the icon.

You can migrate classic saved queries to saved queries to take advantage of the new capabilities, or continue to maintain them as classic saved queries until 2025.

The classic saved query feature is available only in the Google Cloud console.

Deprecation of classic saved queries

By March 2025, the saved queries feature of BigQuery Studio will replace classic saved queries. To edit existing classic saved queries after 2024, you must migrate classic queries to BigQuery Studio saved queries.

If users, including yourself, have personal queries with information that shouldn't be made available to others with access to data in the project, then the query's owner must delete the queries or the information by March 2025.

To support this transition, the following BigQuery IAM roles were updated in February 2024:

To let users without the BigQuery Admin, BigQuery Job User, or BigQuery User roles use saved queries, grant them the required permissions in IAM.

Custom roles won't be automatically updated. To update a custom role with the required permissions, see Edit an existing custom role.

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