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🦉 Updates from OwlBot post-processor
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See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md
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gcf-owl-bot[bot] committed Jul 16, 2024
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39 changes: 26 additions & 13 deletions src/types.d.ts
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// limitations under the License.

/**
* Discovery Revision: 20240616
* Discovery Revision: 20240629
*/

/**
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*/
type IBigLakeConfiguration = {
/**
* Required. The connection specifying the credentials to be used to read and write to external storage, such as Cloud Storage. The connection_id can have the form "<project\_id>.<location\_id>.<connection\_id>" or "projects/<project\_id>/locations/<location\_id>/connections/<connection\_id>".
* Required. The connection specifying the credentials to be used to read and write to external storage, such as Cloud Storage. The connection_id can have the form `{project}.{location}.{connection_id}` or `projects/{project}/locations/{location}/connections/{connection_id}".
*/
connectionId?: string;
/**
* Required. The file format the table data is stored in.
*/
fileFormat?: 'FILE_FORMAT_UNSPECIFIED' | 'PARQUET';
/**
* Required. The fully qualified location prefix of the external folder where table data is stored. The '*' wildcard character is not allowed. The URI should be in the format "gs://bucket/path_to_table/"
* Required. The fully qualified location prefix of the external folder where table data is stored. The '*' wildcard character is not allowed. The URI should be in the format `gs://bucket/path_to_table/`
*/
storageUri?: string;
/**
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*/
onlyReadLatest?: boolean;
/**
* [Required] Qualifier of the column. Columns in the parent column family that has this exact qualifier are exposed as . field. If the qualifier is valid UTF-8 string, it can be specified in the qualifier_string field. Otherwise, a base-64 encoded value must be set to qualifier_encoded. The column field name is the same as the column qualifier. However, if the qualifier is not a valid BigQuery field identifier i.e. does not match a-zA-Z*, a valid identifier must be provided as field_name.
* [Required] Qualifier of the column. Columns in the parent column family that has this exact qualifier are exposed as `.` field. If the qualifier is valid UTF-8 string, it can be specified in the qualifier_string field. Otherwise, a base-64 encoded value must be set to qualifier_encoded. The column field name is the same as the column qualifier. However, if the qualifier is not a valid BigQuery field identifier i.e. does not match a-zA-Z*, a valid identifier must be provided as field_name.
*/
qualifierEncoded?: string;
/**
Expand All @@ -470,7 +470,7 @@ declare namespace bigquery {
*/
type IBigtableColumnFamily = {
/**
* Optional. Lists of columns that should be exposed as individual fields as opposed to a list of (column name, value) pairs. All columns whose qualifier matches a qualifier in this list can be accessed as .. Other columns can be accessed as a list through .Column field.
* Optional. Lists of columns that should be exposed as individual fields as opposed to a list of (column name, value) pairs. All columns whose qualifier matches a qualifier in this list can be accessed as `.`. Other columns can be accessed as a list through the `.Column` field.
*/
columns?: Array<IBigtableColumn>;
/**
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trainingTable?: ITableReference;
};

/**
* Represents a BigQuery dataset.
*/
type IDataset = {
/**
* Optional. An array of objects that define dataset access for one or more entities. You can set this property when inserting or updating a dataset in order to control who is allowed to access the data. If unspecified at dataset creation time, BigQuery adds default dataset access for the following entities: access.specialGroup: projectReaders; access.role: READER; access.specialGroup: projectWriters; access.role: WRITER; access.specialGroup: projectOwners; access.role: OWNER; access.userByEmail: [dataset creator email]; access.role: OWNER;
Expand All @@ -875,15 +878,15 @@ declare namespace bigquery {
*/
iamMember?: string;
/**
* An IAM role ID that should be granted to the user, group, or domain specified in this access entry. The following legacy mappings will be applied: OWNER <=> roles/bigquery.dataOwner WRITER <=> roles/bigquery.dataEditor READER <=> roles/bigquery.dataViewer This field will accept any of the above formats, but will return only the legacy format. For example, if you set this field to "roles/bigquery.dataOwner", it will be returned back as "OWNER".
* An IAM role ID that should be granted to the user, group, or domain specified in this access entry. The following legacy mappings will be applied: * `OWNER`: `roles/bigquery.dataOwner` * `WRITER`: `roles/bigquery.dataEditor` * `READER`: `roles/bigquery.dataViewer` This field will accept any of the above formats, but will return only the legacy format. For example, if you set this field to "roles/bigquery.dataOwner", it will be returned back as "OWNER".
*/
role?: string;
/**
* [Pick one] A routine from a different dataset to grant access to. Queries executed against that routine will have read access to views/tables/routines in this dataset. Only UDF is supported for now. The role field is not required when this field is set. If that routine is updated by any user, access to the routine needs to be granted again via an update operation.
*/
routine?: IRoutineReference;
/**
* [Pick one] A special group to grant access to. Possible values include: projectOwners: Owners of the enclosing project. projectReaders: Readers of the enclosing project. projectWriters: Writers of the enclosing project. allAuthenticatedUsers: All authenticated BigQuery users. Maps to similarly-named IAM members.
* [Pick one] A special group to grant access to. Possible values include: * projectOwners: Owners of the enclosing project. * projectReaders: Readers of the enclosing project. * projectWriters: Writers of the enclosing project. * allAuthenticatedUsers: All authenticated BigQuery users. Maps to similarly-named IAM members.
*/
specialGroup?: string;
/**
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*/
kind?: string;
/**
* The labels associated with this dataset. You can use these to organize and group your datasets. You can set this property when inserting or updating a dataset. See Creating and Updating Dataset Labels for more information.
* The labels associated with this dataset. You can use these to organize and group your datasets. You can set this property when inserting or updating a dataset. See [Creating and Updating Dataset Labels](https://cloud.google.com/bigquery/docs/creating-managing-labels#creating_and_updating_dataset_labels) for more information.
*/
labels?: {[key: string]: string};
/**
Expand Down Expand Up @@ -1093,6 +1096,9 @@ declare namespace bigquery {
unreachable?: Array<string>;
};

/**
* Identifier for a dataset.
*/
type IDatasetReference = {
/**
* Required. A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
Expand Down Expand Up @@ -1230,6 +1236,9 @@ declare namespace bigquery {
min?: number;
};

/**
* Configuration for Cloud KMS encryption settings.
*/
type IEncryptionConfiguration = {
/**
* Optional. Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.
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*/
compression?: string;
/**
* Optional. The connection specifying the credentials to be used to read external storage, such as Azure Blob, Cloud Storage, or S3. The connection_id can have the form "<project\_id>.<location\_id>.<connection\_id>" or "projects/<project\_id>/locations/<location\_id>/connections/<connection\_id>".
* Optional. The connection specifying the credentials to be used to read external storage, such as Azure Blob, Cloud Storage, or S3. The connection_id can have the form `{project_id}.{location_id};{connection_id}` or `projects/{project_id}/locations/{location_id}/connections/{connection_id}`.
*/
connectionId?: string;
/**
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* Free form human-readable reason metadata caching was unused for the job.
*/
explanation?: string;
/**
* Duration since last refresh as of this job for managed tables (indicates metadata cache staleness as seen by this job).
*/
staleness?: string;
/**
* Metadata caching eligible table referenced in the query.
*/
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*/
all?: boolean;
/**
* An expression for filtering the results of the request by label. The syntax is \"labels.<name>[:<value>]\". Multiple filters can be ANDed together by connecting with a space. Example: \"labels.department:receiving labels.active\". See [Filtering datasets using labels](/bigquery/docs/filtering-labels#filtering_datasets_using_labels) for details.
* An expression for filtering the results of the request by label. The syntax is `labels.[:]`. Multiple filters can be ANDed together by connecting with a space. Example: `labels.department:receiving labels.active`. See [Filtering datasets using labels](https://cloud.google.com/bigquery/docs/filtering-labels#filtering_datasets_using_labels) for details.
*/
filter?: string;
/**
Expand All @@ -6136,7 +6149,7 @@ declare namespace bigquery {
*/
type ICancelParams = {
/**
* The geographic location of the job. You must specify the location to run the job for the following scenarios: - If the location to run a job is not in the `us` or the `eu` multi-regional location - If the job's location is in a single region (for example, `us-central1`) For more information, see https://cloud.google.com/bigquery/docs/locations#specifying_your_location.
* The geographic location of the job. You must specify the location to run the job for the following scenarios: * If the location to run a job is not in the `us` or the `eu` multi-regional location * If the job's location is in a single region (for example, `us-central1`) For more information, see https://cloud.google.com/bigquery/docs/locations#specifying_your_location.
*/
location?: string;
};
Expand All @@ -6156,7 +6169,7 @@ declare namespace bigquery {
*/
type IGetParams = {
/**
* The geographic location of the job. You must specify the location to run the job for the following scenarios: - If the location to run a job is not in the `us` or the `eu` multi-regional location - If the job's location is in a single region (for example, `us-central1`) For more information, see https://cloud.google.com/bigquery/docs/locations#specifying_your_location.
* The geographic location of the job. You must specify the location to run the job for the following scenarios: * If the location to run a job is not in the `us` or the `eu` multi-regional location * If the job's location is in a single region (for example, `us-central1`) For more information, see https://cloud.google.com/bigquery/docs/locations#specifying_your_location.
*/
location?: string;
};
Expand All @@ -6170,7 +6183,7 @@ declare namespace bigquery {
*/
'formatOptions.useInt64Timestamp'?: boolean;
/**
* The geographic location of the job. You must specify the location to run the job for the following scenarios: - If the location to run a job is not in the `us` or the `eu` multi-regional location - If the job's location is in a single region (for example, `us-central1`) For more information, see https://cloud.google.com/bigquery/docs/locations#specifying_your_location.
* The geographic location of the job. You must specify the location to run the job for the following scenarios: * If the location to run a job is not in the `us` or the `eu` multi-regional location * If the job's location is in a single region (for example, `us-central1`) For more information, see https://cloud.google.com/bigquery/docs/locations#specifying_your_location.
*/
location?: string;
/**
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