v1alpha1

type DataTransferConfig struct {
	metav1.TypeMeta   `json:",inline,omitempty"`
	metav1.ObjectMeta `json:"metadata,omitempty"`
	Spec              DataTransferConfigSpec   `json:"spec,omitempty"`
	Status            DataTransferConfigStatus `json:"status,omitempty"`
}

type DataTransferConfigList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty"`
	// Items is a list of DataTransferConfig CRD objects
	Items []DataTransferConfig `json:"items,omitempty"`
}

type DataTransferConfigSpec struct {
	State *DataTransferConfigSpecResource `json:"state,omitempty" tf:"-"`

	Resource DataTransferConfigSpecResource `json:"resource" tf:"resource"`

	UpdatePolicy base.UpdatePolicy `json:"updatePolicy,omitempty" tf:"-"`

	TerminationPolicy base.TerminationPolicy `json:"terminationPolicy,omitempty" tf:"-"`

	ProviderRef core.LocalObjectReference `json:"providerRef" tf:"-"`

	SecretRef *core.LocalObjectReference `json:"secretRef,omitempty" tf:"-"`

	BackendRef *core.LocalObjectReference `json:"backendRef,omitempty" tf:"-"`
}

type DataTransferConfigSpecEmailPreferences struct {
	// If true, email notifications will be sent on transfer run failures.
	EnableFailureEmail *bool `json:"enableFailureEmail" tf:"enable_failure_email"`
}

type DataTransferConfigSpecEmailPreferencesCodec struct {
}

type DataTransferConfigSpecResource struct {
	Timeouts *base.ResourceTimeout `json:"timeouts,omitempty" tf:"timeouts"`

	ID string `json:"id,omitempty" tf:"id,omitempty"`

	// The number of days to look back to automatically refresh the data.
	// For example, if dataRefreshWindowDays = 10, then every day BigQuery
	// reingests data for [today-10, today-1], rather than ingesting data for
	// just [today-1]. Only valid if the data source supports the feature.
	// Set the value to 0 to use the default value.
	// +optional
	DataRefreshWindowDays *int64 `json:"dataRefreshWindowDays,omitempty" tf:"data_refresh_window_days"`
	// The data source id. Cannot be changed once the transfer config is created.
	DataSourceID *string `json:"dataSourceID" tf:"data_source_id"`
	// The BigQuery target dataset id.
	// +optional
	DestinationDatasetID *string `json:"destinationDatasetID,omitempty" tf:"destination_dataset_id"`
	// When set to true, no runs are scheduled for a given transfer.
	// +optional
	Disabled *bool `json:"disabled,omitempty" tf:"disabled"`
	// The user specified display name for the transfer config.
	DisplayName *string `json:"displayName" tf:"display_name"`
	// Email notifications will be sent according to these preferences to the
	// email address of the user who owns this transfer config.
	// +optional
	EmailPreferences *DataTransferConfigSpecEmailPreferences `json:"emailPreferences,omitempty" tf:"email_preferences"`
	// The geographic location where the transfer config should reside.
	// Examples: US, EU, asia-northeast1. The default value is US.
	// +optional
	Location *string `json:"location,omitempty" tf:"location"`
	// The resource name of the transfer config. Transfer config names have the
	// form projects/{projectId}/locations/{location}/transferConfigs/{configId}.
	// Where configId is usually a uuid, but this is not required.
	// The name is ignored when creating a transfer config.
	// +optional
	Name *string `json:"name,omitempty" tf:"name"`
	// Pub/Sub topic where notifications will be sent after transfer runs
	// associated with this transfer config finish.
	// +optional
	NotificationPubsubTopic *string `json:"notificationPubsubTopic,omitempty" tf:"notification_pubsub_topic"`
	// Parameters specific to each data source. For more information see the bq tab in the 'Setting up a data transfer'
	// section for each data source. For example the parameters for Cloud Storage transfers are listed here:
	// https://cloud.google.com/bigquery-transfer/docs/cloud-storage-transfer#bq
	Params *map[string]string `json:"params" tf:"params"`
	// +optional
	Project *string `json:"project,omitempty" tf:"project"`
	// Data transfer schedule. If the data source does not support a custom
	// schedule, this should be empty. If it is empty, the default value for
	// the data source will be used. The specified times are in UTC. Examples
	// of valid format: 1st,3rd monday of month 15:30, every wed,fri of jan,
	// jun 13:15, and first sunday of quarter 00:00. See more explanation
	// about the format here:
	// https://cloud.google.com/appengine/docs/flexible/python/scheduling-jobs-with-cron-yaml#the_schedule_format
	// NOTE: the granularity should be at least 8 hours, or less frequent.
	// +optional
	Schedule *string `json:"schedule,omitempty" tf:"schedule"`
	// Options customizing the data transfer schedule.
	// +optional
	ScheduleOptions *DataTransferConfigSpecScheduleOptions `json:"scheduleOptions,omitempty" tf:"schedule_options"`
	// Different parameters are configured primarily using the the 'params' field on this
	// resource. This block contains the parameters which contain secrets or passwords so that they can be marked
	// sensitive and hidden from plan output. The name of the field, eg: secret_access_key, will be the key
	// in the 'params' map in the api request.
	//
	// Credentials may not be specified in both locations and will cause an error. Changing from one location
	// to a different credential configuration in the config will require an apply to update state.
	// +optional
	SensitiveParams *DataTransferConfigSpecSensitiveParams `json:"sensitiveParams,omitempty" tf:"sensitive_params"`
	// Service account email. If this field is set, transfer config will
	// be created with this service account credentials. It requires that
	// requesting user calling this API has permissions to act as this service account.
	// +optional
	ServiceAccountName *string `json:"serviceAccountName,omitempty" tf:"service_account_name"`
}

type DataTransferConfigSpecScheduleOptions struct {
	// If true, automatic scheduling of data transfer runs for this
	// configuration will be disabled. The runs can be started on ad-hoc
	// basis using transferConfigs.startManualRuns API. When automatic
	// scheduling is disabled, the TransferConfig.schedule field will
	// be ignored.
	// +optional
	DisableAutoScheduling *bool `json:"disableAutoScheduling,omitempty" tf:"disable_auto_scheduling"`
	// Defines time to stop scheduling transfer runs. A transfer run cannot be
	// scheduled at or after the end time. The end time can be changed at any
	// moment. The time when a data transfer can be triggered manually is not
	// limited by this option.
	// +optional
	EndTime *string `json:"endTime,omitempty" tf:"end_time"`
	// Specifies time to start scheduling transfer runs. The first run will be
	// scheduled at or after the start time according to a recurrence pattern
	// defined in the schedule string. The start time can be changed at any
	// moment. The time when a data transfer can be triggered manually is not
	// limited by this option.
	// +optional
	StartTime *string `json:"startTime,omitempty" tf:"start_time"`
}

type DataTransferConfigSpecScheduleOptionsCodec struct {
}

type DataTransferConfigSpecSensitiveParams struct {
	// The Secret Access Key of the AWS account transferring data from.
	SecretAccessKey *string `json:"-" sensitive:"true" tf:"secret_access_key"`
}

type DataTransferConfigSpecSensitiveParamsCodec struct {
}

type DataTransferConfigStatus struct {
	// Resource generation, which is updated on mutation by the API Server.
	// +optional
	ObservedGeneration int64 `json:"observedGeneration,omitempty"`
	// +optional
	Phase status.Status `json:"phase,omitempty"`
	// +optional
	Conditions []kmapi.Condition `json:"conditions,omitempty"`
}

type Dataset struct {
	metav1.TypeMeta   `json:",inline,omitempty"`
	metav1.ObjectMeta `json:"metadata,omitempty"`
	Spec              DatasetSpec   `json:"spec,omitempty"`
	Status            DatasetStatus `json:"status,omitempty"`
}

type DatasetAccess struct {
	metav1.TypeMeta   `json:",inline,omitempty"`
	metav1.ObjectMeta `json:"metadata,omitempty"`
	Spec              DatasetAccessSpec   `json:"spec,omitempty"`
	Status            DatasetAccessStatus `json:"status,omitempty"`
}

type DatasetAccessList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty"`
	// Items is a list of DatasetAccess CRD objects
	Items []DatasetAccess `json:"items,omitempty"`
}

type DatasetAccessSpec struct {
	State *DatasetAccessSpecResource `json:"state,omitempty" tf:"-"`

	Resource DatasetAccessSpecResource `json:"resource" tf:"resource"`

	UpdatePolicy base.UpdatePolicy `json:"updatePolicy,omitempty" tf:"-"`

	TerminationPolicy base.TerminationPolicy `json:"terminationPolicy,omitempty" tf:"-"`

	ProviderRef core.LocalObjectReference `json:"providerRef" tf:"-"`

	BackendRef *core.LocalObjectReference `json:"backendRef,omitempty" tf:"-"`
}

type DatasetAccessSpecDataset struct {
	// The dataset this entry applies to
	Dataset *DatasetAccessSpecDatasetDataset `json:"dataset" tf:"dataset"`
	// Which resources in the dataset this entry applies to. Currently, only views are supported,
	// but additional target types may be added in the future. Possible values: VIEWS
	TargetTypes []string `json:"targetTypes" tf:"target_types"`
}

type DatasetAccessSpecDatasetCodec struct {
}

type DatasetAccessSpecDatasetDataset struct {
	// The ID of the dataset containing this table.
	DatasetID *string `json:"datasetID" tf:"dataset_id"`
	// The ID of the project containing this table.
	ProjectID *string `json:"projectID" tf:"project_id"`
}

type DatasetAccessSpecDatasetDatasetCodec struct {
}

type DatasetAccessSpecResource struct {
	Timeouts *base.ResourceTimeout `json:"timeouts,omitempty" tf:"timeouts"`

	ID string `json:"id,omitempty" tf:"id,omitempty"`

	// If true, represents that that the iam_member in the config was translated to a different member type by the API, and is stored in state as a different member type
	// +optional
	ApiUpdatedMember *bool `json:"apiUpdatedMember,omitempty" tf:"api_updated_member"`
	// Grants all resources of particular types in a particular dataset read access to the current dataset.
	// +optional
	Dataset *DatasetAccessSpecDataset `json:"dataset,omitempty" tf:"dataset"`
	// 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.
	DatasetID *string `json:"datasetID" tf:"dataset_id"`
	// A domain to grant access to. Any users signed in with the
	// domain specified will be granted the specified access
	// +optional
	Domain *string `json:"domain,omitempty" tf:"domain"`
	// An email address of a Google Group to grant access to.
	// +optional
	GroupByEmail *string `json:"groupByEmail,omitempty" tf:"group_by_email"`
	// Some other type of member that appears in the IAM Policy but isn't a user,
	// group, domain, or special group. For example: 'allUsers'
	// +optional
	IamMember *string `json:"iamMember,omitempty" tf:"iam_member"`
	// +optional
	Project *string `json:"project,omitempty" tf:"project"`
	// Describes the rights granted to the user specified by the other
	// member of the access object. Basic, predefined, and custom roles are
	// supported. Predefined roles that have equivalent basic roles are
	// swapped by the API to their basic counterparts, and will show a diff
	// post-create. See
	// [official docs](https://cloud.google.com/bigquery/docs/access-control).
	// +optional
	Role *string `json:"role,omitempty" tf:"role"`
	// 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.
	// +optional
	SpecialGroup *string `json:"specialGroup,omitempty" tf:"special_group"`
	// An email address of a user to grant access to. For example:
	// fred@example.com
	// +optional
	UserByEmail *string `json:"userByEmail,omitempty" tf:"user_by_email"`
	// A view from a different dataset to grant access to. Queries
	// executed against that view will have read access to tables in
	// this dataset. The role field is not required when this field is
	// set. If that view is updated by any user, access to the view
	// needs to be granted again via an update operation.
	// +optional
	View *DatasetAccessSpecView `json:"view,omitempty" tf:"view"`
}

type DatasetAccessSpecView struct {
	// The ID of the dataset containing this table.
	DatasetID *string `json:"datasetID" tf:"dataset_id"`
	// The ID of the project containing this table.
	ProjectID *string `json:"projectID" tf:"project_id"`
	// The ID of the table. The ID must contain only letters (a-z,
	// A-Z), numbers (0-9), or underscores (_). The maximum length
	// is 1,024 characters.
	TableID *string `json:"tableID" tf:"table_id"`
}

type DatasetAccessSpecViewCodec struct {
}

type DatasetAccessStatus struct {
	// Resource generation, which is updated on mutation by the API Server.
	// +optional
	ObservedGeneration int64 `json:"observedGeneration,omitempty"`
	// +optional
	Phase status.Status `json:"phase,omitempty"`
	// +optional
	Conditions []kmapi.Condition `json:"conditions,omitempty"`
}

type DatasetIamBinding struct {
	metav1.TypeMeta   `json:",inline,omitempty"`
	metav1.ObjectMeta `json:"metadata,omitempty"`
	Spec              DatasetIamBindingSpec   `json:"spec,omitempty"`
	Status            DatasetIamBindingStatus `json:"status,omitempty"`
}

type DatasetIamBindingList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty"`
	// Items is a list of DatasetIamBinding CRD objects
	Items []DatasetIamBinding `json:"items,omitempty"`
}

type DatasetIamBindingSpec struct {
	State *DatasetIamBindingSpecResource `json:"state,omitempty" tf:"-"`

	Resource DatasetIamBindingSpecResource `json:"resource" tf:"resource"`

	UpdatePolicy base.UpdatePolicy `json:"updatePolicy,omitempty" tf:"-"`

	TerminationPolicy base.TerminationPolicy `json:"terminationPolicy,omitempty" tf:"-"`

	ProviderRef core.LocalObjectReference `json:"providerRef" tf:"-"`

	BackendRef *core.LocalObjectReference `json:"backendRef,omitempty" tf:"-"`
}

type DatasetIamBindingSpecCondition struct {
	// +optional
	Description *string `json:"description,omitempty" tf:"description"`
	Expression  *string `json:"expression" tf:"expression"`
	Title       *string `json:"title" tf:"title"`
}

type DatasetIamBindingSpecConditionCodec struct {
}

type DatasetIamBindingSpecResource struct {
	ID string `json:"id,omitempty" tf:"id,omitempty"`

	// +optional
	Condition *DatasetIamBindingSpecCondition `json:"condition,omitempty" tf:"condition"`
	DatasetID *string                         `json:"datasetID" tf:"dataset_id"`
	// +optional
	Etag    *string  `json:"etag,omitempty" tf:"etag"`
	Members []string `json:"members" tf:"members"`
	// +optional
	Project *string `json:"project,omitempty" tf:"project"`
	Role    *string `json:"role" tf:"role"`
}

type DatasetIamBindingStatus struct {
	// Resource generation, which is updated on mutation by the API Server.
	// +optional
	ObservedGeneration int64 `json:"observedGeneration,omitempty"`
	// +optional
	Phase status.Status `json:"phase,omitempty"`
	// +optional
	Conditions []kmapi.Condition `json:"conditions,omitempty"`
}

type DatasetIamMember struct {
	metav1.TypeMeta   `json:",inline,omitempty"`
	metav1.ObjectMeta `json:"metadata,omitempty"`
	Spec              DatasetIamMemberSpec   `json:"spec,omitempty"`
	Status            DatasetIamMemberStatus `json:"status,omitempty"`
}

type DatasetIamMemberList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty"`
	// Items is a list of DatasetIamMember CRD objects
	Items []DatasetIamMember `json:"items,omitempty"`
}

type DatasetIamMemberSpec struct {
	State *DatasetIamMemberSpecResource `json:"state,omitempty" tf:"-"`

	Resource DatasetIamMemberSpecResource `json:"resource" tf:"resource"`

	UpdatePolicy base.UpdatePolicy `json:"updatePolicy,omitempty" tf:"-"`

	TerminationPolicy base.TerminationPolicy `json:"terminationPolicy,omitempty" tf:"-"`

	ProviderRef core.LocalObjectReference `json:"providerRef" tf:"-"`

	BackendRef *core.LocalObjectReference `json:"backendRef,omitempty" tf:"-"`
}

type DatasetIamMemberSpecCondition struct {
	// +optional
	Description *string `json:"description,omitempty" tf:"description"`
	Expression  *string `json:"expression" tf:"expression"`
	Title       *string `json:"title" tf:"title"`
}

type DatasetIamMemberSpecConditionCodec struct {
}

type DatasetIamMemberSpecResource struct {
	ID string `json:"id,omitempty" tf:"id,omitempty"`

	// +optional
	Condition *DatasetIamMemberSpecCondition `json:"condition,omitempty" tf:"condition"`
	DatasetID *string                        `json:"datasetID" tf:"dataset_id"`
	// +optional
	Etag   *string `json:"etag,omitempty" tf:"etag"`
	Member *string `json:"member" tf:"member"`
	// +optional
	Project *string `json:"project,omitempty" tf:"project"`
	Role    *string `json:"role" tf:"role"`
}

type DatasetIamMemberStatus struct {
	// Resource generation, which is updated on mutation by the API Server.
	// +optional
	ObservedGeneration int64 `json:"observedGeneration,omitempty"`
	// +optional
	Phase status.Status `json:"phase,omitempty"`
	// +optional
	Conditions []kmapi.Condition `json:"conditions,omitempty"`
}

type DatasetIamPolicy struct {
	metav1.TypeMeta   `json:",inline,omitempty"`
	metav1.ObjectMeta `json:"metadata,omitempty"`
	Spec              DatasetIamPolicySpec   `json:"spec,omitempty"`
	Status            DatasetIamPolicyStatus `json:"status,omitempty"`
}

type DatasetIamPolicyList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty"`
	// Items is a list of DatasetIamPolicy CRD objects
	Items []DatasetIamPolicy `json:"items,omitempty"`
}

type DatasetIamPolicySpec struct {
	State *DatasetIamPolicySpecResource `json:"state,omitempty" tf:"-"`

	Resource DatasetIamPolicySpecResource `json:"resource" tf:"resource"`

	UpdatePolicy base.UpdatePolicy `json:"updatePolicy,omitempty" tf:"-"`

	TerminationPolicy base.TerminationPolicy `json:"terminationPolicy,omitempty" tf:"-"`

	ProviderRef core.LocalObjectReference `json:"providerRef" tf:"-"`

	BackendRef *core.LocalObjectReference `json:"backendRef,omitempty" tf:"-"`
}

type DatasetIamPolicySpecResource struct {
	ID string `json:"id,omitempty" tf:"id,omitempty"`

	DatasetID *string `json:"datasetID" tf:"dataset_id"`
	// +optional
	Etag       *string `json:"etag,omitempty" tf:"etag"`
	PolicyData *string `json:"policyData" tf:"policy_data"`
	// +optional
	Project *string `json:"project,omitempty" tf:"project"`
}

type DatasetIamPolicyStatus struct {
	// Resource generation, which is updated on mutation by the API Server.
	// +optional
	ObservedGeneration int64 `json:"observedGeneration,omitempty"`
	// +optional
	Phase status.Status `json:"phase,omitempty"`
	// +optional
	Conditions []kmapi.Condition `json:"conditions,omitempty"`
}

type DatasetList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty"`
	// Items is a list of Dataset CRD objects
	Items []Dataset `json:"items,omitempty"`
}

type DatasetSpec struct {
	State *DatasetSpecResource `json:"state,omitempty" tf:"-"`

	Resource DatasetSpecResource `json:"resource" tf:"resource"`

	UpdatePolicy base.UpdatePolicy `json:"updatePolicy,omitempty" tf:"-"`

	TerminationPolicy base.TerminationPolicy `json:"terminationPolicy,omitempty" tf:"-"`

	ProviderRef core.LocalObjectReference `json:"providerRef" tf:"-"`

	BackendRef *core.LocalObjectReference `json:"backendRef,omitempty" tf:"-"`
}

type DatasetSpecAccess struct {
	// Grants all resources of particular types in a particular dataset read access to the current dataset.
	// +optional
	Dataset *DatasetSpecAccessDataset `json:"dataset,omitempty" tf:"dataset"`
	// A domain to grant access to. Any users signed in with the
	// domain specified will be granted the specified access
	// +optional
	Domain *string `json:"domain,omitempty" tf:"domain"`
	// An email address of a Google Group to grant access to.
	// +optional
	GroupByEmail *string `json:"groupByEmail,omitempty" tf:"group_by_email"`
	// Describes the rights granted to the user specified by the other
	// member of the access object. Basic, predefined, and custom roles
	// are supported. Predefined roles that have equivalent basic roles
	// are swapped by the API to their basic counterparts. See
	// [official docs](https://cloud.google.com/bigquery/docs/access-control).
	// +optional
	Role *string `json:"role,omitempty" tf:"role"`
	// 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.
	// +optional
	SpecialGroup *string `json:"specialGroup,omitempty" tf:"special_group"`
	// An email address of a user to grant access to. For example:
	// fred@example.com
	// +optional
	UserByEmail *string `json:"userByEmail,omitempty" tf:"user_by_email"`
	// A view from a different dataset to grant access to. Queries
	// executed against that view will have read access to tables in
	// this dataset. The role field is not required when this field is
	// set. If that view is updated by any user, access to the view
	// needs to be granted again via an update operation.
	// +optional
	View *DatasetSpecAccessView `json:"view,omitempty" tf:"view"`
}

type DatasetSpecAccessDataset struct {
	// The dataset this entry applies to
	Dataset *DatasetSpecAccessDatasetDataset `json:"dataset" tf:"dataset"`
	// Which resources in the dataset this entry applies to. Currently, only views are supported,
	// but additional target types may be added in the future. Possible values: VIEWS
	TargetTypes []string `json:"targetTypes" tf:"target_types"`
}

type DatasetSpecAccessDatasetCodec struct {
}

type DatasetSpecAccessDatasetDataset struct {
	// The ID of the dataset containing this table.
	DatasetID *string `json:"datasetID" tf:"dataset_id"`
	// The ID of the project containing this table.
	ProjectID *string `json:"projectID" tf:"project_id"`
}

type DatasetSpecAccessDatasetDatasetCodec struct {
}

type DatasetSpecAccessView struct {
	// The ID of the dataset containing this table.
	DatasetID *string `json:"datasetID" tf:"dataset_id"`
	// The ID of the project containing this table.
	ProjectID *string `json:"projectID" tf:"project_id"`
	// The ID of the table. The ID must contain only letters (a-z,
	// A-Z), numbers (0-9), or underscores (_). The maximum length
	// is 1,024 characters.
	TableID *string `json:"tableID" tf:"table_id"`
}

type DatasetSpecAccessViewCodec struct {
}

type DatasetSpecDefaultEncryptionConfiguration struct {
	// 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.
	KmsKeyName *string `json:"kmsKeyName" tf:"kms_key_name"`
}

type DatasetSpecDefaultEncryptionConfigurationCodec struct {
}

type DatasetSpecResource struct {
	Timeouts *base.ResourceTimeout `json:"timeouts,omitempty" tf:"timeouts"`

	ID string `json:"id,omitempty" tf:"id,omitempty"`

	// An array of objects that define dataset access for one or more entities.
	// +optional
	Access []DatasetSpecAccess `json:"access,omitempty" tf:"access"`
	// The time when this dataset was created, in milliseconds since the
	// epoch.
	// +optional
	CreationTime *int64 `json:"creationTime,omitempty" tf:"creation_time"`
	// 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.
	DatasetID *string `json:"datasetID" tf:"dataset_id"`
	// The default encryption key for all tables in the dataset. Once this property is set,
	// all newly-created partitioned tables in the dataset will have encryption key set to
	// this value, unless table creation request (or query) overrides the key.
	// +optional
	DefaultEncryptionConfiguration *DatasetSpecDefaultEncryptionConfiguration `json:"defaultEncryptionConfiguration,omitempty" tf:"default_encryption_configuration"`
	// The default partition expiration for all partitioned tables in
	// the dataset, in milliseconds.
	//
	//
	// Once this property is set, all newly-created partitioned tables in
	// the dataset will have an 'expirationMs' property in the 'timePartitioning'
	// settings set to this value, and changing the value will only
	// affect new tables, not existing ones. The storage in a partition will
	// have an expiration time of its partition time plus this value.
	// Setting this property overrides the use of 'defaultTableExpirationMs'
	// for partitioned tables: only one of 'defaultTableExpirationMs' and
	// 'defaultPartitionExpirationMs' will be used for any new partitioned
	// table. If you provide an explicit 'timePartitioning.expirationMs' when
	// creating or updating a partitioned table, that value takes precedence
	// over the default partition expiration time indicated by this property.
	// +optional
	DefaultPartitionExpirationMs *int64 `json:"defaultPartitionExpirationMs,omitempty" tf:"default_partition_expiration_ms"`
	// The default lifetime of all tables in the dataset, in milliseconds.
	// The minimum value is 3600000 milliseconds (one hour).
	//
	//
	// Once this property is set, all newly-created tables in the dataset
	// will have an 'expirationTime' property set to the creation time plus
	// the value in this property, and changing the value will only affect
	// new tables, not existing ones. When the 'expirationTime' for a given
	// table is reached, that table will be deleted automatically.
	// If a table's 'expirationTime' is modified or removed before the
	// table expires, or if you provide an explicit 'expirationTime' when
	// creating a table, that value takes precedence over the default
	// expiration time indicated by this property.
	// +optional
	DefaultTableExpirationMs *int64 `json:"defaultTableExpirationMs,omitempty" tf:"default_table_expiration_ms"`
	// +optional
	DeleteContentsOnDestroy *bool `json:"deleteContentsOnDestroy,omitempty" tf:"delete_contents_on_destroy"`
	// A user-friendly description of the dataset
	// +optional
	Description *string `json:"description,omitempty" tf:"description"`
	// A hash of the resource.
	// +optional
	Etag *string `json:"etag,omitempty" tf:"etag"`
	// A descriptive name for the dataset
	// +optional
	FriendlyName *string `json:"friendlyName,omitempty" tf:"friendly_name"`
	// The labels associated with this dataset. You can use these to
	// organize and group your datasets
	// +optional
	Labels *map[string]string `json:"labels,omitempty" tf:"labels"`
	// The date when this dataset or any of its tables was last modified, in
	// milliseconds since the epoch.
	// +optional
	LastModifiedTime *int64 `json:"lastModifiedTime,omitempty" tf:"last_modified_time"`
	// The geographic location where the dataset should reside.
	// See [official docs](https://cloud.google.com/bigquery/docs/dataset-locations).
	//
	//
	// There are two types of locations, regional or multi-regional. A regional
	// location is a specific geographic place, such as Tokyo, and a multi-regional
	// location is a large geographic area, such as the United States, that
	// contains at least two geographic places.
	//
	//
	// The default value is multi-regional location 'US'.
	// Changing this forces a new resource to be created.
	// +optional
	Location *string `json:"location,omitempty" tf:"location"`
	// +optional
	Project *string `json:"project,omitempty" tf:"project"`
	// +optional
	SelfLink *string `json:"selfLink,omitempty" tf:"self_link"`
}

type DatasetStatus struct {
	// Resource generation, which is updated on mutation by the API Server.
	// +optional
	ObservedGeneration int64 `json:"observedGeneration,omitempty"`
	// +optional
	Phase status.Status `json:"phase,omitempty"`
	// +optional
	Conditions []kmapi.Condition `json:"conditions,omitempty"`
}

type Job struct {
	metav1.TypeMeta   `json:",inline,omitempty"`
	metav1.ObjectMeta `json:"metadata,omitempty"`
	Spec              JobSpec   `json:"spec,omitempty"`
	Status            JobStatus `json:"status,omitempty"`
}

type JobList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty"`
	// Items is a list of Job CRD objects
	Items []Job `json:"items,omitempty"`
}

type JobSpec struct {
	State *JobSpecResource `json:"state,omitempty" tf:"-"`

	Resource JobSpecResource `json:"resource" tf:"resource"`

	UpdatePolicy base.UpdatePolicy `json:"updatePolicy,omitempty" tf:"-"`

	TerminationPolicy base.TerminationPolicy `json:"terminationPolicy,omitempty" tf:"-"`

	ProviderRef core.LocalObjectReference `json:"providerRef" tf:"-"`

	BackendRef *core.LocalObjectReference `json:"backendRef,omitempty" tf:"-"`
}

type JobSpecCopy struct {
	// Specifies whether the job is allowed to create new tables. The following values are supported:
	// CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table.
	// CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result.
	// Creation, truncation and append actions occur as one atomic update upon job completion Default value: "CREATE_IF_NEEDED" Possible values: ["CREATE_IF_NEEDED", "CREATE_NEVER"]
	// +optional
	CreateDisposition *string `json:"createDisposition,omitempty" tf:"create_disposition"`
	// Custom encryption configuration (e.g., Cloud KMS keys)
	// +optional
	DestinationEncryptionConfiguration *JobSpecCopyDestinationEncryptionConfiguration `json:"destinationEncryptionConfiguration,omitempty" tf:"destination_encryption_configuration"`
	// The destination table.
	// +optional
	DestinationTable *JobSpecCopyDestinationTable `json:"destinationTable,omitempty" tf:"destination_table"`
	// Source tables to copy.
	SourceTables []JobSpecCopySourceTables `json:"sourceTables" tf:"source_tables"`
	// Specifies the action that occurs if the destination table already exists. The following values are supported:
	// WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data and uses the schema from the query result.
	// WRITE_APPEND: If the table already exists, BigQuery appends the data to the table.
	// WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result.
	// Each action is atomic and only occurs if BigQuery is able to complete the job successfully.
	// Creation, truncation and append actions occur as one atomic update upon job completion. Default value: "WRITE_EMPTY" Possible values: ["WRITE_TRUNCATE", "WRITE_APPEND", "WRITE_EMPTY"]
	// +optional
	WriteDisposition *string `json:"writeDisposition,omitempty" tf:"write_disposition"`
}

type JobSpecCopyCodec struct {
}

type JobSpecCopyDestinationEncryptionConfiguration struct {
	// 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.
	KmsKeyName *string `json:"kmsKeyName" tf:"kms_key_name"`
	// Describes the Cloud KMS encryption key version used to protect destination BigQuery table.
	// +optional
	KmsKeyVersion *string `json:"kmsKeyVersion,omitempty" tf:"kms_key_version"`
}

type JobSpecCopyDestinationEncryptionConfigurationCodec struct {
}

type JobSpecCopyDestinationTable struct {
	// The ID of the dataset containing this table.
	// +optional
	DatasetID *string `json:"datasetID,omitempty" tf:"dataset_id"`
	// The ID of the project containing this table.
	// +optional
	ProjectID *string `json:"projectID,omitempty" tf:"project_id"`
	// The table. Can be specified '{{table_id}}' if 'project_id' and 'dataset_id' are also set,
	// or of the form 'projects/{{project}}/datasets/{{dataset_id}}/tables/{{table_id}}' if not.
	TableID *string `json:"tableID" tf:"table_id"`
}

type JobSpecCopyDestinationTableCodec struct {
}

type JobSpecCopySourceTables struct {
	// The ID of the dataset containing this table.
	// +optional
	DatasetID *string `json:"datasetID,omitempty" tf:"dataset_id"`
	// The ID of the project containing this table.
	// +optional
	ProjectID *string `json:"projectID,omitempty" tf:"project_id"`
	// The table. Can be specified '{{table_id}}' if 'project_id' and 'dataset_id' are also set,
	// or of the form 'projects/{{project}}/datasets/{{dataset_id}}/tables/{{table_id}}' if not.
	TableID *string `json:"tableID" tf:"table_id"`
}

type JobSpecExtract struct {
	// The compression type to use for exported files. Possible values include GZIP, DEFLATE, SNAPPY, and NONE.
	// The default value is NONE. DEFLATE and SNAPPY are only supported for Avro.
	// +optional
	Compression *string `json:"compression,omitempty" tf:"compression"`
	// The exported file format. Possible values include CSV, NEWLINE_DELIMITED_JSON and AVRO for tables and SAVED_MODEL for models.
	// The default value for tables is CSV. Tables with nested or repeated fields cannot be exported as CSV.
	// The default value for models is SAVED_MODEL.
	// +optional
	DestinationFormat *string `json:"destinationFormat,omitempty" tf:"destination_format"`
	// A list of fully-qualified Google Cloud Storage URIs where the extracted table should be written.
	DestinationUris []string `json:"destinationUris" tf:"destination_uris"`
	// When extracting data in CSV format, this defines the delimiter to use between fields in the exported data.
	// Default is ','
	// +optional
	FieldDelimiter *string `json:"fieldDelimiter,omitempty" tf:"field_delimiter"`
	// Whether to print out a header row in the results. Default is true.
	// +optional
	PrintHeader *bool `json:"printHeader,omitempty" tf:"print_header"`
	// A reference to the model being exported.
	// +optional
	SourceModel *JobSpecExtractSourceModel `json:"sourceModel,omitempty" tf:"source_model"`
	// A reference to the table being exported.
	// +optional
	SourceTable *JobSpecExtractSourceTable `json:"sourceTable,omitempty" tf:"source_table"`
	// Whether to use logical types when extracting to AVRO format.
	// +optional
	UseAvroLogicalTypes *bool `json:"useAvroLogicalTypes,omitempty" tf:"use_avro_logical_types"`
}

type JobSpecExtractCodec struct {
}

type JobSpecExtractSourceModel struct {
	// The ID of the dataset containing this model.
	DatasetID *string `json:"datasetID" tf:"dataset_id"`
	// The ID of the model.
	ModelID *string `json:"modelID" tf:"model_id"`
	// The ID of the project containing this model.
	ProjectID *string `json:"projectID" tf:"project_id"`
}

type JobSpecExtractSourceModelCodec struct {
}

type JobSpecExtractSourceTable struct {
	// The ID of the dataset containing this table.
	// +optional
	DatasetID *string `json:"datasetID,omitempty" tf:"dataset_id"`
	// The ID of the project containing this table.
	// +optional
	ProjectID *string `json:"projectID,omitempty" tf:"project_id"`
	// The table. Can be specified '{{table_id}}' if 'project_id' and 'dataset_id' are also set,
	// or of the form 'projects/{{project}}/datasets/{{dataset_id}}/tables/{{table_id}}' if not.
	TableID *string `json:"tableID" tf:"table_id"`
}

type JobSpecExtractSourceTableCodec struct {
}

type JobSpecLoad struct {
	// Accept rows that are missing trailing optional columns. The missing values are treated as nulls.
	// If false, records with missing trailing columns are treated as bad records, and if there are too many bad records,
	// an invalid error is returned in the job result. The default value is false. Only applicable to CSV, ignored for other formats.
	// +optional
	AllowJaggedRows *bool `json:"allowJaggedRows,omitempty" tf:"allow_jagged_rows"`
	// Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file.
	// The default value is false.
	// +optional
	AllowQuotedNewlines *bool `json:"allowQuotedNewlines,omitempty" tf:"allow_quoted_newlines"`
	// Indicates if we should automatically infer the options and schema for CSV and JSON sources.
	// +optional
	Autodetect *bool `json:"autodetect,omitempty" tf:"autodetect"`
	// Specifies whether the job is allowed to create new tables. The following values are supported:
	// CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table.
	// CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result.
	// Creation, truncation and append actions occur as one atomic update upon job completion Default value: "CREATE_IF_NEEDED" Possible values: ["CREATE_IF_NEEDED", "CREATE_NEVER"]
	// +optional
	CreateDisposition *string `json:"createDisposition,omitempty" tf:"create_disposition"`
	// Custom encryption configuration (e.g., Cloud KMS keys)
	// +optional
	DestinationEncryptionConfiguration *JobSpecLoadDestinationEncryptionConfiguration `json:"destinationEncryptionConfiguration,omitempty" tf:"destination_encryption_configuration"`
	// The destination table to load the data into.
	DestinationTable *JobSpecLoadDestinationTable `json:"destinationTable" tf:"destination_table"`
	// The character encoding of the data. The supported values are UTF-8 or ISO-8859-1.
	// The default value is UTF-8. BigQuery decodes the data after the raw, binary data
	// has been split using the values of the quote and fieldDelimiter properties.
	// +optional
	Encoding *string `json:"encoding,omitempty" tf:"encoding"`
	// The separator for fields in a CSV file. The separator can be any ISO-8859-1 single-byte character.
	// To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts
	// the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the
	// data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator.
	// The default value is a comma (',').
	// +optional
	FieldDelimiter *string `json:"fieldDelimiter,omitempty" tf:"field_delimiter"`
	// Indicates if BigQuery should allow extra values that are not represented in the table schema.
	// If true, the extra values are ignored. If false, records with extra columns are treated as bad records,
	// and if there are too many bad records, an invalid error is returned in the job result.
	// The default value is false. The sourceFormat property determines what BigQuery treats as an extra value:
	// CSV: Trailing columns
	// JSON: Named values that don't match any column names
	// +optional
	IgnoreUnknownValues *bool `json:"ignoreUnknownValues,omitempty" tf:"ignore_unknown_values"`
	// The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value,
	// an invalid error is returned in the job result. The default value is 0, which requires that all records are valid.
	// +optional
	MaxBadRecords *int64 `json:"maxBadRecords,omitempty" tf:"max_bad_records"`
	// Specifies a string that represents a null value in a CSV file. For example, if you specify "\\N", BigQuery interprets "\\N" as a null value
	// when loading a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery throws an error if an
	// empty string is present for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as
	// an empty value.
	// +optional
	NullMarker *string `json:"nullMarker,omitempty" tf:"null_marker"`
	// If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity properties to load into BigQuery from a Cloud Datastore backup.
	// Property names are case sensitive and must be top-level properties. If no properties are specified, BigQuery loads all properties.
	// If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
	// +optional
	ProjectionFields []string `json:"projectionFields,omitempty" tf:"projection_fields"`
	// The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding,
	// and then uses the first byte of the encoded string to split the data in its raw, binary state.
	// The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string.
	// If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
	// +optional
	Quote *string `json:"quote,omitempty" tf:"quote"`
	// Allows the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or
	// supplied in the job configuration. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND;
	// when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators.
	// For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified:
	// ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema.
	// ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
	// +optional
	SchemaUpdateOptions []string `json:"schemaUpdateOptions,omitempty" tf:"schema_update_options"`
	// The number of rows at the top of a CSV file that BigQuery will skip when loading the data.
	// The default value is 0. This property is useful if you have header rows in the file that should be skipped.
	// When autodetect is on, the behavior is the following:
	// skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected,
	// the row is read as data. Otherwise data is read starting from the second row.
	// skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row.
	// skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected,
	// row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
	// +optional
	SkipLeadingRows *int64 `json:"skipLeadingRows,omitempty" tf:"skip_leading_rows"`
	// The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP".
	// For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet, specify "PARQUET".
	// For orc, specify "ORC". [Beta] For Bigtable, specify "BIGTABLE".
	// The default value is CSV.
	// +optional
	SourceFormat *string `json:"sourceFormat,omitempty" tf:"source_format"`
	// The fully-qualified URIs that point to your data in Google Cloud.
	// For Google Cloud Storage URIs: Each URI can contain one '*' wildcard character
	// and it must come after the 'bucket' name. Size limits related to load jobs apply
	// to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be
	// specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table.
	// For Google Cloud Datastore backups: Exactly one URI can be specified. Also, the '*' wildcard character is not allowed.
	SourceUris []string `json:"sourceUris" tf:"source_uris"`
	// Time-based partitioning specification for the destination table.
	// +optional
	TimePartitioning *JobSpecLoadTimePartitioning `json:"timePartitioning,omitempty" tf:"time_partitioning"`
	// Specifies the action that occurs if the destination table already exists. The following values are supported:
	// WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data and uses the schema from the query result.
	// WRITE_APPEND: If the table already exists, BigQuery appends the data to the table.
	// WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result.
	// Each action is atomic and only occurs if BigQuery is able to complete the job successfully.
	// Creation, truncation and append actions occur as one atomic update upon job completion. Default value: "WRITE_EMPTY" Possible values: ["WRITE_TRUNCATE", "WRITE_APPEND", "WRITE_EMPTY"]
	// +optional
	WriteDisposition *string `json:"writeDisposition,omitempty" tf:"write_disposition"`
}

type JobSpecLoadCodec struct {
}

type JobSpecLoadDestinationEncryptionConfiguration struct {
	// 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.
	KmsKeyName *string `json:"kmsKeyName" tf:"kms_key_name"`
	// Describes the Cloud KMS encryption key version used to protect destination BigQuery table.
	// +optional
	KmsKeyVersion *string `json:"kmsKeyVersion,omitempty" tf:"kms_key_version"`
}

type JobSpecLoadDestinationEncryptionConfigurationCodec struct {
}

type JobSpecLoadDestinationTable struct {
	// The ID of the dataset containing this table.
	// +optional
	DatasetID *string `json:"datasetID,omitempty" tf:"dataset_id"`
	// The ID of the project containing this table.
	// +optional
	ProjectID *string `json:"projectID,omitempty" tf:"project_id"`
	// The table. Can be specified '{{table_id}}' if 'project_id' and 'dataset_id' are also set,
	// or of the form 'projects/{{project}}/datasets/{{dataset_id}}/tables/{{table_id}}' if not.
	TableID *string `json:"tableID" tf:"table_id"`
}

type JobSpecLoadDestinationTableCodec struct {
}

type JobSpecLoadTimePartitioning struct {
	// Number of milliseconds for which to keep the storage for a partition. A wrapper is used here because 0 is an invalid value.
	// +optional
	ExpirationMs *string `json:"expirationMs,omitempty" tf:"expiration_ms"`
	// If not set, the table is partitioned by pseudo column '_PARTITIONTIME'; if set, the table is partitioned by this field.
	// The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
	// A wrapper is used here because an empty string is an invalid value.
	// +optional
	Field *string `json:"field,omitempty" tf:"field"`
	// The only type supported is DAY, which will generate one partition per day. Providing an empty string used to cause an error,
	// but in OnePlatform the field will be treated as unset.
	Type *string `json:"type" tf:"type"`
}

type JobSpecLoadTimePartitioningCodec struct {
}

type JobSpecQuery struct {
	// If true and query uses legacy SQL dialect, allows the query to produce arbitrarily large result tables at a slight cost in performance.
	// Requires destinationTable to be set. For standard SQL queries, this flag is ignored and large results are always allowed.
	// However, you must still set destinationTable when result size exceeds the allowed maximum response size.
	// +optional
	AllowLargeResults *bool `json:"allowLargeResults,omitempty" tf:"allow_large_results"`
	// Specifies whether the job is allowed to create new tables. The following values are supported:
	// CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table.
	// CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result.
	// Creation, truncation and append actions occur as one atomic update upon job completion Default value: "CREATE_IF_NEEDED" Possible values: ["CREATE_IF_NEEDED", "CREATE_NEVER"]
	// +optional
	CreateDisposition *string `json:"createDisposition,omitempty" tf:"create_disposition"`
	// Specifies the default dataset to use for unqualified table names in the query. Note that this does not alter behavior of unqualified dataset names.
	// +optional
	DefaultDataset *JobSpecQueryDefaultDataset `json:"defaultDataset,omitempty" tf:"default_dataset"`
	// Custom encryption configuration (e.g., Cloud KMS keys)
	// +optional
	DestinationEncryptionConfiguration *JobSpecQueryDestinationEncryptionConfiguration `json:"destinationEncryptionConfiguration,omitempty" tf:"destination_encryption_configuration"`
	// Describes the table where the query results should be stored.
	// This property must be set for large results that exceed the maximum response size.
	// For queries that produce anonymous (cached) results, this field will be populated by BigQuery.
	// +optional
	DestinationTable *JobSpecQueryDestinationTable `json:"destinationTable,omitempty" tf:"destination_table"`
	// If true and query uses legacy SQL dialect, flattens all nested and repeated fields in the query results.
	// allowLargeResults must be true if this is set to false. For standard SQL queries, this flag is ignored and results are never flattened.
	// +optional
	FlattenResults *bool `json:"flattenResults,omitempty" tf:"flatten_results"`
	// Limits the billing tier for this job. Queries that have resource usage beyond this tier will fail (without incurring a charge).
	// If unspecified, this will be set to your project default.
	// +optional
	MaximumBillingTier *int64 `json:"maximumBillingTier,omitempty" tf:"maximum_billing_tier"`
	// Limits the bytes billed for this job. Queries that will have bytes billed beyond this limit will fail (without incurring a charge).
	// If unspecified, this will be set to your project default.
	// +optional
	MaximumBytesBilled *string `json:"maximumBytesBilled,omitempty" tf:"maximum_bytes_billed"`
	// Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
	// +optional
	ParameterMode *string `json:"parameterMode,omitempty" tf:"parameter_mode"`
	// Specifies a priority for the query. Default value: "INTERACTIVE" Possible values: ["INTERACTIVE", "BATCH"]
	// +optional
	Priority *string `json:"priority,omitempty" tf:"priority"`
	// SQL query text to execute. The useLegacySql field can be used to indicate whether the query uses legacy SQL or standard SQL.
	// *NOTE*: queries containing [DML language](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language)
	// ('DELETE', 'UPDATE', 'MERGE', 'INSERT') must specify 'create_disposition = ""' and 'write_disposition = ""'.
	Query *string `json:"query" tf:"query"`
	// Allows the schema of the destination table to be updated as a side effect of the query job.
	// Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND;
	// when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table,
	// specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema.
	// One or more of the following values are specified:
	// ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema.
	// ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
	// +optional
	SchemaUpdateOptions []string `json:"schemaUpdateOptions,omitempty" tf:"schema_update_options"`
	// Options controlling the execution of scripts.
	// +optional
	ScriptOptions *JobSpecQueryScriptOptions `json:"scriptOptions,omitempty" tf:"script_options"`
	// Specifies whether to use BigQuery's legacy SQL dialect for this query. The default value is true.
	// If set to false, the query will use BigQuery's standard SQL.
	// +optional
	UseLegacySQL *bool `json:"useLegacySQL,omitempty" tf:"use_legacy_sql"`
	// Whether to look for the result in the query cache. The query cache is a best-effort cache that will be flushed whenever
	// tables in the query are modified. Moreover, the query cache is only available when a query does not have a destination table specified.
	// The default value is true.
	// +optional
	UseQueryCache *bool `json:"useQueryCache,omitempty" tf:"use_query_cache"`
	// Describes user-defined function resources used in the query.
	// +optional
	UserDefinedFunctionResources []JobSpecQueryUserDefinedFunctionResources `json:"userDefinedFunctionResources,omitempty" tf:"user_defined_function_resources"`
	// Specifies the action that occurs if the destination table already exists. The following values are supported:
	// WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data and uses the schema from the query result.
	// WRITE_APPEND: If the table already exists, BigQuery appends the data to the table.
	// WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result.
	// Each action is atomic and only occurs if BigQuery is able to complete the job successfully.
	// Creation, truncation and append actions occur as one atomic update upon job completion. Default value: "WRITE_EMPTY" Possible values: ["WRITE_TRUNCATE", "WRITE_APPEND", "WRITE_EMPTY"]
	// +optional
	WriteDisposition *string `json:"writeDisposition,omitempty" tf:"write_disposition"`
}

type JobSpecQueryCodec struct {
}

type JobSpecQueryDefaultDataset struct {
	// The dataset. Can be specified '{{dataset_id}}' if 'project_id' is also set,
	// or of the form 'projects/{{project}}/datasets/{{dataset_id}}' if not.
	DatasetID *string `json:"datasetID" tf:"dataset_id"`
	// The ID of the project containing this table.
	// +optional
	ProjectID *string `json:"projectID,omitempty" tf:"project_id"`
}

type JobSpecQueryDefaultDatasetCodec struct {
}

type JobSpecQueryDestinationEncryptionConfiguration struct {
	// 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.
	KmsKeyName *string `json:"kmsKeyName" tf:"kms_key_name"`
	// Describes the Cloud KMS encryption key version used to protect destination BigQuery table.
	// +optional
	KmsKeyVersion *string `json:"kmsKeyVersion,omitempty" tf:"kms_key_version"`
}

type JobSpecQueryDestinationEncryptionConfigurationCodec struct {
}

type JobSpecQueryDestinationTable struct {
	// The ID of the dataset containing this table.
	// +optional
	DatasetID *string `json:"datasetID,omitempty" tf:"dataset_id"`
	// The ID of the project containing this table.
	// +optional
	ProjectID *string `json:"projectID,omitempty" tf:"project_id"`
	// The table. Can be specified '{{table_id}}' if 'project_id' and 'dataset_id' are also set,
	// or of the form 'projects/{{project}}/datasets/{{dataset_id}}/tables/{{table_id}}' if not.
	TableID *string `json:"tableID" tf:"table_id"`
}

type JobSpecQueryDestinationTableCodec struct {
}

type JobSpecQueryScriptOptions struct {
	// Determines which statement in the script represents the "key result",
	// used to populate the schema and query results of the script job. Possible values: ["LAST", "FIRST_SELECT"]
	// +optional
	KeyResultStatement *string `json:"keyResultStatement,omitempty" tf:"key_result_statement"`
	// Limit on the number of bytes billed per statement. Exceeding this budget results in an error.
	// +optional
	StatementByteBudget *string `json:"statementByteBudget,omitempty" tf:"statement_byte_budget"`
	// Timeout period for each statement in a script.
	// +optional
	StatementTimeoutMs *string `json:"statementTimeoutMs,omitempty" tf:"statement_timeout_ms"`
}

type JobSpecQueryScriptOptionsCodec struct {
}

type JobSpecQueryUserDefinedFunctionResources struct {
	// An inline resource that contains code for a user-defined function (UDF).
	// Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
	// +optional
	InlineCode *string `json:"inlineCode,omitempty" tf:"inline_code"`
	// A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
	// +optional
	ResourceURI *string `json:"resourceURI,omitempty" tf:"resource_uri"`
}

type JobSpecResource struct {
	Timeouts *base.ResourceTimeout `json:"timeouts,omitempty" tf:"timeouts"`

	ID string `json:"id,omitempty" tf:"id,omitempty"`

	// Copies a table.
	// +optional
	Copy *JobSpecCopy `json:"copy,omitempty" tf:"copy"`
	// Configures an extract job.
	// +optional
	Extract *JobSpecExtract `json:"extract,omitempty" tf:"extract"`
	// The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters.
	JobID *string `json:"jobID" tf:"job_id"`
	// Job timeout in milliseconds. If this time limit is exceeded, BigQuery may attempt to terminate the job.
	// +optional
	JobTimeoutMs *string `json:"jobTimeoutMs,omitempty" tf:"job_timeout_ms"`
	// The type of the job.
	// +optional
	JobType *string `json:"jobType,omitempty" tf:"job_type"`
	// The labels associated with this job. You can use these to organize and group your jobs.
	// +optional
	Labels *map[string]string `json:"labels,omitempty" tf:"labels"`
	// Configures a load job.
	// +optional
	Load *JobSpecLoad `json:"load,omitempty" tf:"load"`
	// The geographic location of the job. The default value is US.
	// +optional
	Location *string `json:"location,omitempty" tf:"location"`
	// +optional
	Project *string `json:"project,omitempty" tf:"project"`
	// Configures a query job.
	// +optional
	Query *JobSpecQuery `json:"query,omitempty" tf:"query"`
	// The status of this job. Examine this value when polling an asynchronous job to see if the job is complete.
	// +optional
	Status []JobSpecStatus `json:"status,omitempty" tf:"status"`
	// Email address of the user who ran the job.
	// +optional
	UserEmail *string `json:"userEmail,omitempty" tf:"user_email"`
}

type JobSpecStatus struct {
	// Final error result of the job. If present, indicates that the job has completed and was unsuccessful.
	// +optional
	ErrorResult []JobSpecStatusErrorResult `json:"errorResult,omitempty" tf:"error_result"`
	// The first errors encountered during the running of the job. The final message
	// includes the number of errors that caused the process to stop. Errors here do
	// not necessarily mean that the job has not completed or was unsuccessful.
	// +optional
	Errors []JobSpecStatusErrors `json:"errors,omitempty" tf:"errors"`
	// Running state of the job. Valid states include 'PENDING', 'RUNNING', and 'DONE'.
	// +optional
	State *string `json:"state,omitempty" tf:"state"`
}

type JobSpecStatusErrorResult struct {
	// Specifies where the error occurred, if present.
	// +optional
	Location *string `json:"location,omitempty" tf:"location"`
	// A human-readable description of the error.
	// +optional
	Message *string `json:"message,omitempty" tf:"message"`
	// A short error code that summarizes the error.
	// +optional
	Reason *string `json:"reason,omitempty" tf:"reason"`
}

type JobSpecStatusErrors struct {
	// Specifies where the error occurred, if present.
	// +optional
	Location *string `json:"location,omitempty" tf:"location"`
	// A human-readable description of the error.
	// +optional
	Message *string `json:"message,omitempty" tf:"message"`
	// A short error code that summarizes the error.
	// +optional
	Reason *string `json:"reason,omitempty" tf:"reason"`
}

type JobStatus struct {
	// Resource generation, which is updated on mutation by the API Server.
	// +optional
	ObservedGeneration int64 `json:"observedGeneration,omitempty"`
	// +optional
	Phase status.Status `json:"phase,omitempty"`
	// +optional
	Conditions []kmapi.Condition `json:"conditions,omitempty"`
}

type Reservation struct {
	metav1.TypeMeta   `json:",inline,omitempty"`
	metav1.ObjectMeta `json:"metadata,omitempty"`
	Spec              ReservationSpec   `json:"spec,omitempty"`
	Status            ReservationStatus `json:"status,omitempty"`
}

type ReservationList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty"`
	// Items is a list of Reservation CRD objects
	Items []Reservation `json:"items,omitempty"`
}

type ReservationSpec struct {
	State *ReservationSpecResource `json:"state,omitempty" tf:"-"`

	Resource ReservationSpecResource `json:"resource" tf:"resource"`

	UpdatePolicy base.UpdatePolicy `json:"updatePolicy,omitempty" tf:"-"`

	TerminationPolicy base.TerminationPolicy `json:"terminationPolicy,omitempty" tf:"-"`

	ProviderRef core.LocalObjectReference `json:"providerRef" tf:"-"`

	BackendRef *core.LocalObjectReference `json:"backendRef,omitempty" tf:"-"`
}

type ReservationSpecResource struct {
	Timeouts *base.ResourceTimeout `json:"timeouts,omitempty" tf:"timeouts"`

	ID string `json:"id,omitempty" tf:"id,omitempty"`

	// If false, any query using this reservation will use idle slots from other reservations within
	// the same admin project. If true, a query using this reservation will execute with the slot
	// capacity specified above at most.
	// +optional
	IgnoreIdleSlots *bool `json:"ignoreIdleSlots,omitempty" tf:"ignore_idle_slots"`
	// The geographic location where the transfer config should reside.
	// Examples: US, EU, asia-northeast1. The default value is US.
	// +optional
	Location *string `json:"location,omitempty" tf:"location"`
	// The name of the reservation. This field must only contain alphanumeric characters or dash.
	Name *string `json:"name" tf:"name"`
	// +optional
	Project *string `json:"project,omitempty" tf:"project"`
	// Minimum 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 ignoreIdleSlots is set to false.
	SlotCapacity *int64 `json:"slotCapacity" tf:"slot_capacity"`
}

type ReservationStatus struct {
	// Resource generation, which is updated on mutation by the API Server.
	// +optional
	ObservedGeneration int64 `json:"observedGeneration,omitempty"`
	// +optional
	Phase status.Status `json:"phase,omitempty"`
	// +optional
	Conditions []kmapi.Condition `json:"conditions,omitempty"`
}

type Routine struct {
	metav1.TypeMeta   `json:",inline,omitempty"`
	metav1.ObjectMeta `json:"metadata,omitempty"`
	Spec              RoutineSpec   `json:"spec,omitempty"`
	Status            RoutineStatus `json:"status,omitempty"`
}

type RoutineList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty"`
	// Items is a list of Routine CRD objects
	Items []Routine `json:"items,omitempty"`
}

type RoutineSpec struct {
	State *RoutineSpecResource `json:"state,omitempty" tf:"-"`

	Resource RoutineSpecResource `json:"resource" tf:"resource"`

	UpdatePolicy base.UpdatePolicy `json:"updatePolicy,omitempty" tf:"-"`

	TerminationPolicy base.TerminationPolicy `json:"terminationPolicy,omitempty" tf:"-"`

	ProviderRef core.LocalObjectReference `json:"providerRef" tf:"-"`

	BackendRef *core.LocalObjectReference `json:"backendRef,omitempty" tf:"-"`
}

type RoutineSpecArguments struct {
	// Defaults to FIXED_TYPE. Default value: "FIXED_TYPE" Possible values: ["FIXED_TYPE", "ANY_TYPE"]
	// +optional
	ArgumentKind *string `json:"argumentKind,omitempty" tf:"argument_kind"`
	// A JSON schema for the data type. Required unless argumentKind = ANY_TYPE.
	// ~>**NOTE**: Because this field expects a JSON string, any changes to the string
	// will create a diff, even if the JSON itself hasn't changed. If the API returns
	// a different value for the same schema, e.g. it switched the order of values
	// or replaced STRUCT field type with RECORD field type, we currently cannot
	// suppress the recurring diff this causes. As a workaround, we recommend using
	// the schema as returned by the API.
	// +optional
	DataType *string `json:"dataType,omitempty" tf:"data_type"`
	// Specifies whether the argument is input or output. Can be set for procedures only. Possible values: ["IN", "OUT", "INOUT"]
	// +optional
	Mode *string `json:"mode,omitempty" tf:"mode"`
	// The name of this argument. Can be absent for function return argument.
	// +optional
	Name *string `json:"name,omitempty" tf:"name"`
}

type RoutineSpecResource struct {
	Timeouts *base.ResourceTimeout `json:"timeouts,omitempty" tf:"timeouts"`

	ID string `json:"id,omitempty" tf:"id,omitempty"`

	// Input/output argument of a function or a stored procedure.
	// +optional
	Arguments []RoutineSpecArguments `json:"arguments,omitempty" tf:"arguments"`
	// The time when this routine was created, in milliseconds since the
	// epoch.
	// +optional
	CreationTime *int64 `json:"creationTime,omitempty" tf:"creation_time"`
	// The ID of the dataset containing this routine
	DatasetID *string `json:"datasetID" tf:"dataset_id"`
	// The body of the routine. For functions, this is the expression in the AS clause.
	// If language=SQL, it is the substring inside (but excluding) the parentheses.
	DefinitionBody *string `json:"definitionBody" tf:"definition_body"`
	// The description of the routine if defined.
	// +optional
	Description *string `json:"description,omitempty" tf:"description"`
	// The determinism level of the JavaScript UDF if defined. Possible values: ["DETERMINISM_LEVEL_UNSPECIFIED", "DETERMINISTIC", "NOT_DETERMINISTIC"]
	// +optional
	DeterminismLevel *string `json:"determinismLevel,omitempty" tf:"determinism_level"`
	// Optional. If language = "JAVASCRIPT", this field stores the path of the
	// imported JAVASCRIPT libraries.
	// +optional
	ImportedLibraries []string `json:"importedLibraries,omitempty" tf:"imported_libraries"`
	// The language of the routine. Possible values: ["SQL", "JAVASCRIPT"]
	// +optional
	Language *string `json:"language,omitempty" tf:"language"`
	// The time when this routine was modified, in milliseconds since the
	// epoch.
	// +optional
	LastModifiedTime *int64 `json:"lastModifiedTime,omitempty" tf:"last_modified_time"`
	// +optional
	Project *string `json:"project,omitempty" tf:"project"`
	// Optional. Can be set only if routineType = "TABLE_VALUED_FUNCTION".
	//
	// If absent, the return table type is inferred from definitionBody at query time in each query
	// that references this routine. If present, then the columns in the evaluated table result will
	// be cast to match the column types specificed in return table type, at query time.
	// +optional
	ReturnTableType *string `json:"returnTableType,omitempty" tf:"return_table_type"`
	// A JSON schema for the return type. Optional if language = "SQL"; required otherwise.
	// If absent, the return type is inferred from definitionBody at query time in each query
	// that references this routine. If present, then the evaluated result will be cast to
	// the specified returned type at query time. ~>**NOTE**: Because this field expects a JSON
	// string, any changes to the string will create a diff, even if the JSON itself hasn't
	// changed. If the API returns a different value for the same schema, e.g. it switche
	// d the order of values or replaced STRUCT field type with RECORD field type, we currently
	// cannot suppress the recurring diff this causes. As a workaround, we recommend using
	// the schema as returned by the API.
	// +optional
	ReturnType *string `json:"returnType,omitempty" tf:"return_type"`
	// The ID of the the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
	RoutineID *string `json:"routineID" tf:"routine_id"`
	// The type of routine. Possible values: ["SCALAR_FUNCTION", "PROCEDURE", "TABLE_VALUED_FUNCTION"]
	// +optional
	RoutineType *string `json:"routineType,omitempty" tf:"routine_type"`
}

type RoutineStatus struct {
	// Resource generation, which is updated on mutation by the API Server.
	// +optional
	ObservedGeneration int64 `json:"observedGeneration,omitempty"`
	// +optional
	Phase status.Status `json:"phase,omitempty"`
	// +optional
	Conditions []kmapi.Condition `json:"conditions,omitempty"`
}

type Table struct {
	metav1.TypeMeta   `json:",inline,omitempty"`
	metav1.ObjectMeta `json:"metadata,omitempty"`
	Spec              TableSpec   `json:"spec,omitempty"`
	Status            TableStatus `json:"status,omitempty"`
}

type TableIamBinding struct {
	metav1.TypeMeta   `json:",inline,omitempty"`
	metav1.ObjectMeta `json:"metadata,omitempty"`
	Spec              TableIamBindingSpec   `json:"spec,omitempty"`
	Status            TableIamBindingStatus `json:"status,omitempty"`
}

type TableIamBindingList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty"`
	// Items is a list of TableIamBinding CRD objects
	Items []TableIamBinding `json:"items,omitempty"`
}

type TableIamBindingSpec struct {
	State *TableIamBindingSpecResource `json:"state,omitempty" tf:"-"`

	Resource TableIamBindingSpecResource `json:"resource" tf:"resource"`

	UpdatePolicy base.UpdatePolicy `json:"updatePolicy,omitempty" tf:"-"`

	TerminationPolicy base.TerminationPolicy `json:"terminationPolicy,omitempty" tf:"-"`

	ProviderRef core.LocalObjectReference `json:"providerRef" tf:"-"`

	BackendRef *core.LocalObjectReference `json:"backendRef,omitempty" tf:"-"`
}

type TableIamBindingSpecCondition struct {
	// +optional
	Description *string `json:"description,omitempty" tf:"description"`
	Expression  *string `json:"expression" tf:"expression"`
	Title       *string `json:"title" tf:"title"`
}

type TableIamBindingSpecConditionCodec struct {
}

type TableIamBindingSpecResource struct {
	ID string `json:"id,omitempty" tf:"id,omitempty"`

	// +optional
	Condition *TableIamBindingSpecCondition `json:"condition,omitempty" tf:"condition"`
	DatasetID *string                       `json:"datasetID" tf:"dataset_id"`
	// +optional
	Etag    *string  `json:"etag,omitempty" tf:"etag"`
	Members []string `json:"members" tf:"members"`
	// +optional
	Project *string `json:"project,omitempty" tf:"project"`
	Role    *string `json:"role" tf:"role"`
	TableID *string `json:"tableID" tf:"table_id"`
}

type TableIamBindingStatus struct {
	// Resource generation, which is updated on mutation by the API Server.
	// +optional
	ObservedGeneration int64 `json:"observedGeneration,omitempty"`
	// +optional
	Phase status.Status `json:"phase,omitempty"`
	// +optional
	Conditions []kmapi.Condition `json:"conditions,omitempty"`
}

type TableIamMember struct {
	metav1.TypeMeta   `json:",inline,omitempty"`
	metav1.ObjectMeta `json:"metadata,omitempty"`
	Spec              TableIamMemberSpec   `json:"spec,omitempty"`
	Status            TableIamMemberStatus `json:"status,omitempty"`
}