Reservation(mapping=None, *, ignore_unknown_fields=False, **kwargs)
A reservation is a mechanism used to guarantee slots to users.
Attributes |
|
---|---|
Name | Description |
name |
str
The resource name of the reservation, e.g., projects/*/locations/*/reservations/team1-prod . The
reservation_id must only contain lower case alphanumeric
characters or dashes. It must start with a letter and must
not end with a dash. Its maximum length is 64 characters.
|
slot_capacity |
int
Baseline slots available to this reservation. A slot is a unit of computational power in BigQuery, and serves as the unit of parallelism. Queries using this reservation might use more slots during runtime if ignore_idle_slots is set to false, or autoscaling is enabled. If edition is EDITION_UNSPECIFIED and total slot_capacity of the reservation and its siblings exceeds the total slot_count of all capacity commitments, the request will fail with google.rpc.Code.RESOURCE_EXHAUSTED .
If edition is any value but EDITION_UNSPECIFIED, then the
above requirement is not needed. The total slot_capacity of
the reservation and its siblings may exceed the total
slot_count of capacity commitments. In that case, the
exceeding slots will be charged with the autoscale SKU. You
can increase the number of baseline slots in a reservation
every few minutes. If you want to decrease your baseline
slots, you are limited to once an hour if you have recently
changed your baseline slot capacity and your baseline slots
exceed your committed slots. Otherwise, you can decrease
your baseline slots every few minutes.
|
ignore_idle_slots |
bool
If false, any query or pipeline job using this reservation will use idle slots from other reservations within the same admin project. If true, a query or pipeline job using this reservation will execute with the slot capacity specified in the slot_capacity field at most. |
autoscale |
google.cloud.bigquery_reservation_v1.types.Reservation.Autoscale
The configuration parameters for the auto scaling feature. |
concurrency |
int
Job concurrency target which sets a soft upper bound on the number of jobs that can run concurrently in this reservation. This is a soft target due to asynchronous nature of the system and various optimizations for small queries. Default value is 0 which means that concurrency target will be automatically computed by the system. NOTE: this field is exposed as target job concurrency in the Information Schema, DDL and BigQuery CLI. |
creation_time |
google.protobuf.timestamp_pb2.Timestamp
Output only. Creation time of the reservation. |
update_time |
google.protobuf.timestamp_pb2.Timestamp
Output only. Last update time of the reservation. |
multi_region_auxiliary |
bool
Applicable only for reservations located within one of the BigQuery multi-regions (US or EU). If set to true, this reservation is placed in the organization's secondary region which is designated for disaster recovery purposes. If false, this reservation is placed in the organization's default region. NOTE: this is a preview feature. Project must be allow-listed in order to set this field. |
edition |
google.cloud.bigquery_reservation_v1.types.Edition
Edition of the reservation. |
primary_location |
str
Optional. The current location of the reservation's primary replica. This field is only set for reservations using the managed disaster recovery feature. |
secondary_location |
str
Optional. The current location of the reservation's secondary replica. This field is only set for reservations using the managed disaster recovery feature. Users can set this in create reservation calls to create a failover reservation or in update reservation calls to convert a non-failover reservation to a failover reservation(or vice versa). |
original_primary_location |
str
Optional. The location where the reservation was originally created. This is set only during the failover reservation's creation. All billing charges for the failover reservation will be applied to this location. |
Classes
Autoscale
Autoscale(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Auto scaling settings.