Reserve BI Engine capacity

When you use BigQuery BI Engine, your charges are based on the BI Engine capacity you purchased for your project. Reservations are charged per Gb/hour, priced per region according to on-demand pricing. If you have flat-rate commitment, you will be eligible for discount of up to 100% based on active commitment. For details see flat-rate pricing.

You purchase BigQuery BI Engine capacity by creating a reservation. The reservation is attached to a project you identify when the reservation is created. BI Engine uses this capacity to determine how much data can be cached. For more information about the maximum reservation size for BI Engine, see Quotas and limits.

Required roles

To get the permissions that you need to create and delete reservations, ask your administrator to grant you the BigQuery Resource Admin (roles/bigquery.resourceAdmin) IAM role on the project. For more information about granting roles, see Manage access.

You might also be able to get the required permissions through custom roles or other predefined roles.

Create a reservation

To reserve on-demand BI Engine capacity, follow these steps:

Console

  1. On the BigQuery page, in Administration, go to the BI Engine page.

    Go to BI Engine

  2. Click Create reservation.

  3. On the Create reservation page, for Step 1:

    • Verify your project name.
    • Choose your location. The location should match the location of the datasets you are querying.

    • Adjust the slider to the amount of memory capacity you're reserving. The following example sets the capacity to 2 GB. The current maximum is 250 GB.

      BI Engine capacity location

  4. Click Next.

  5. Optionally, enter the Table ID for preferred tables and click Next.

  6. For Step 3, review your reservation details, and then click Create.

After you confirm your reservation, the details are displayed on the Reservations page.

SQL

Sets the options for BI Engine reservation capacity.

  1. In the Google Cloud console, go to the BigQuery page.

    Go to BigQuery

  2. In the query editor, enter the following statement:

    ALTER BI_CAPACITY `PROJECT_ID.LOCATION_ID.default`
SET OPTIONS (
  size_gb = VALUE,
  preferred_tables = <ARRAY<STRING>>);

    Replace the following:

    • PROJECT_ID: optional ID of the project that will benefit from BI Engine acceleration. If omitted, the default project is used.
    • LOCATION_ID: the location where data needs to be cached, prefixed with region-. Examples: region-us, region-us-central1.
    • VALUE: the INT64 size of the reservation for BI Engine capacity in gigabytes, 1 to 250 GB. Setting VALUE replaces the existing value if there is one. Setting to NULL clears the value for that option.
    • STRING: optional list of tables to which acceleration should be applied. Format: project.dataset.table or dataset.table. If the project is omitted, then the default project is used.

  3. Click Run.

For more information about how to run queries, see Running interactive queries.

bq

Use the bq update command and supply the data definition language (DDL) statement as the query parameter:

bq --project_id=PROJECT_ID update \
    --bi_reservation_size=SIZE \
    --location=LOCATION \
    --reservation

Replace the following:

  • PROJECT_ID: the ID of your project
  • SIZE: the reservation memory capacity in gigabytes, 1 to 250 GB
  • LOCATION: the location of the dataset you are querying

Delete a reservation

To delete a capacity reservation, follow these steps:

Console

  1. On the BigQuery page, in Administration go to the BI Engine page.

    Go to BI Engine

  2. In the Reservations section, locate your reservation.

  3. In the Actions column, click the icon to the right of your reservation and choose Delete.

  4. In the Delete reservation? dialog, enter Delete and then click DELETE.

SQL

Sets the options on BI Engine capacity.

  1. In the Google Cloud console, go to the BigQuery page.

    Go to BigQuery

  2. In the query editor, enter the following statement:

    ALTER BI_CAPACITY `PROJECT_ID.LOCATION_ID.default`
SET OPTIONS (
  size_gb = 0);

    Replace the following:

    • PROJECT_ID: optional ID of the project that will benefit from BI Engine acceleration. If omitted, the default project is used.
    • LOCATION_ID: the location where data needs to be cached, prefixed with region-. Examples: region-us, region-us-central1.

    When you delete all capacity reservations in a project, BI Engine is disabled for that project.

  3. Click Run.

For more information about how to run queries, see Running interactive queries.

bq

Use the bq update command and supply the DDL statement as the query parameter.

bq --project_id="PROJECT_ID" \
update --reservation
    --bi_reservation_size=0 \
    --location=LOCATION

Replace the following:

  • PROJECT_ID: the ID of your project
  • LOCATION: the location of the dataset you are querying

View resource metadata

You can get information about your BI Engine capacity by querying the INFORMATION_SCHEMA tables. BigQuery provides the following INFORMATION_SCHEMA views:

What's next