Description
:
Optional. The version of the access policy schema to fetch. Valid values are 0, 1, and 3. Requests specifying an invalid value will be rejected. Requests for conditional access policy binding in datasets must specify version 3. Dataset with no conditional role bindings in access policy may specify any valid value or leave the field unset. This field will be maped to [IAM Policy version] (https://cloud.google.com/iam/docs/policies#versions) and will be used to fetch policy from IAM. If unset or if 0 or 1 value is used for dataset with conditional bindings, access entry with condition will have role string appended by 'withcond' string followed by a hash value. For example : { "access": [ { "role": "roles/bigquery.dataViewer_with_conditionalbinding_7a34awqsda", "userByEmail": "user@example.com", } ] } Please refer https://cloud.google.com/iam/docs/troubleshooting-withcond for more details.
Format
:
int32
Location
:
query
Type
:
integer
▼▲
bigquery.datasets.insert
Parameters
:
accessPolicyVersion
Description
:
Optional. The version of the provided access policy schema. Valid values are 0, 1, and 3. Requests specifying an invalid value will be rejected. This version refers to the schema version of the access policy and not the version of access policy. This field's value can be equal or more than the access policy schema provided in the request. For example, * Requests with conditional access policy binding in datasets must specify version 3. * But dataset with no conditional role bindings in access policy may specify any valid value or leave the field unset. If unset or if 0 or 1 value is used for dataset with conditional bindings, request will be rejected. This field will be maped to IAM Policy version (https://cloud.google.com/iam/docs/policies#versions) and will be used to set policy in IAM.
Format
:
int32
Location
:
query
Type
:
integer
▼▲
bigquery.datasets.patch
Parameters
:
accessPolicyVersion
Description
:
Optional. The version of the provided access policy schema. Valid values are 0, 1, and 3. Requests specifying an invalid value will be rejected. This version refers to the schema version of the access policy and not the version of access policy. This field's value can be equal or more than the access policy schema provided in the request. For example, * Operations updating conditional access policy binding in datasets must specify version 3. Some of the operations are : - Adding a new access policy entry with condition. - Removing an access policy entry with condition. - Updating an access policy entry with condition. * But dataset with no conditional role bindings in access policy may specify any valid value or leave the field unset. If unset or if 0 or 1 value is used for dataset with conditional bindings, request will be rejected. This field will be maped to IAM Policy version (https://cloud.google.com/iam/docs/policies#versions) and will be used to set policy in IAM.
Format
:
int32
Location
:
query
Type
:
integer
▼▲
bigquery.datasets.update
Parameters
:
accessPolicyVersion
Description
:
Optional. The version of the provided access policy schema. Valid values are 0, 1, and 3. Requests specifying an invalid value will be rejected. This version refers to the schema version of the access policy and not the version of access policy. This field's value can be equal or more than the access policy schema provided in the request. For example, * Operations updating conditional access policy binding in datasets must specify version 3. Some of the operations are : - Adding a new access policy entry with condition. - Removing an access policy entry with condition. - Updating an access policy entry with condition. * But dataset with no conditional role bindings in access policy may specify any valid value or leave the field unset. If unset or if 0 or 1 value is used for dataset with conditional bindings, request will be rejected. This field will be maped to IAM Policy version (https://cloud.google.com/iam/docs/policies#versions) and will be used to set policy in IAM.