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fuchsia / third_party / github.com / googleapis / google-cloud-go / ae42f23f586ad76b058066a66c1566e4fef23692 / . / aiplatform / apiv1beta1 / aiplatformpb / featurestore_service.pb.go
blob: 86eb7e560474a9a4db4eb086896b4bf043a15e27 [file] [log] [blame]
// Copyright 2024 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.33.0
// protoc v4.25.3
// source: google/cloud/aiplatform/v1beta1/featurestore_service.proto
package aiplatformpb
import (
context "context"
reflect "reflect"
sync "sync"
longrunningpb "cloud.google.com/go/longrunning/autogen/longrunningpb"
_ "google.golang.org/genproto/googleapis/api/annotations"
interval "google.golang.org/genproto/googleapis/type/interval"
grpc "google.golang.org/grpc"
codes "google.golang.org/grpc/codes"
status "google.golang.org/grpc/status"
protoreflect "google.golang.org/protobuf/reflect/protoreflect"
protoimpl "google.golang.org/protobuf/runtime/protoimpl"
_ "google.golang.org/protobuf/types/known/emptypb"
fieldmaskpb "google.golang.org/protobuf/types/known/fieldmaskpb"
timestamppb "google.golang.org/protobuf/types/known/timestamppb"
)
const (
// Verify that this generated code is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
// Verify that runtime/protoimpl is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
)
// Request message for
// [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeaturestore].
type CreateFeaturestoreRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The resource name of the Location to create Featurestores.
// Format:
// `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The Featurestore to create.
Featurestore *Featurestore `protobuf:"bytes,2,opt,name=featurestore,proto3" json:"featurestore,omitempty"`
// Required. The ID to use for this Featurestore, which will become the final
// component of the Featurestore's resource name.
//
// This value may be up to 60 characters, and valid characters are
// `[a-z0-9_]`. The first character cannot be a number.
//
// The value must be unique within the project and location.
FeaturestoreId string `protobuf:"bytes,3,opt,name=featurestore_id,json=featurestoreId,proto3" json:"featurestore_id,omitempty"`
}
func (x *CreateFeaturestoreRequest) Reset() {
*x = CreateFeaturestoreRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *CreateFeaturestoreRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*CreateFeaturestoreRequest) ProtoMessage() {}
func (x *CreateFeaturestoreRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[0]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use CreateFeaturestoreRequest.ProtoReflect.Descriptor instead.
func (*CreateFeaturestoreRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{0}
}
func (x *CreateFeaturestoreRequest) GetParent() string {
if x != nil {
return x.Parent
}
return ""
}
func (x *CreateFeaturestoreRequest) GetFeaturestore() *Featurestore {
if x != nil {
return x.Featurestore
}
return nil
}
func (x *CreateFeaturestoreRequest) GetFeaturestoreId() string {
if x != nil {
return x.FeaturestoreId
}
return ""
}
// Request message for
// [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeaturestore].
type GetFeaturestoreRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The name of the Featurestore resource.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}
func (x *GetFeaturestoreRequest) Reset() {
*x = GetFeaturestoreRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[1]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *GetFeaturestoreRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*GetFeaturestoreRequest) ProtoMessage() {}
func (x *GetFeaturestoreRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[1]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use GetFeaturestoreRequest.ProtoReflect.Descriptor instead.
func (*GetFeaturestoreRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{1}
}
func (x *GetFeaturestoreRequest) GetName() string {
if x != nil {
return x.Name
}
return ""
}
// Request message for
// [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].
type ListFeaturestoresRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The resource name of the Location to list Featurestores.
// Format:
// `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Lists the featurestores that match the filter expression. The following
// fields are supported:
//
// * `create_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
// Values must be
//
// in RFC 3339 format.
//
// * `update_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
// Values must be
//
// in RFC 3339 format.
//
// * `online_serving_config.fixed_node_count`: Supports `=`, `!=`, `<`, `>`,
// `<=`, and `>=` comparisons.
// * `labels`: Supports key-value equality and key presence.
//
// Examples:
//
// - `create_time > "2020-01-01" OR update_time > "2020-01-01"`
// Featurestores created or updated after 2020-01-01.
// - `labels.env = "prod"`
// Featurestores with label "env" set to "prod".
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The maximum number of Featurestores to return. The service may return fewer
// than this value. If unspecified, at most 100 Featurestores will be
// returned. The maximum value is 100; any value greater than 100 will be
// coerced to 100.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A page token, received from a previous
// [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
// call. Provide this to retrieve the subsequent page.
//
// When paginating, all other parameters provided to
// [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
// must match the call that provided the page token.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// A comma-separated list of fields to order by, sorted in ascending order.
// Use "desc" after a field name for descending.
// Supported Fields:
//
// - `create_time`
// - `update_time`
// - `online_serving_config.fixed_node_count`
OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
}
func (x *ListFeaturestoresRequest) Reset() {
*x = ListFeaturestoresRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[2]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ListFeaturestoresRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ListFeaturestoresRequest) ProtoMessage() {}
func (x *ListFeaturestoresRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[2]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ListFeaturestoresRequest.ProtoReflect.Descriptor instead.
func (*ListFeaturestoresRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{2}
}
func (x *ListFeaturestoresRequest) GetParent() string {
if x != nil {
return x.Parent
}
return ""
}
func (x *ListFeaturestoresRequest) GetFilter() string {
if x != nil {
return x.Filter
}
return ""
}
func (x *ListFeaturestoresRequest) GetPageSize() int32 {
if x != nil {
return x.PageSize
}
return 0
}
func (x *ListFeaturestoresRequest) GetPageToken() string {
if x != nil {
return x.PageToken
}
return ""
}
func (x *ListFeaturestoresRequest) GetOrderBy() string {
if x != nil {
return x.OrderBy
}
return ""
}
func (x *ListFeaturestoresRequest) GetReadMask() *fieldmaskpb.FieldMask {
if x != nil {
return x.ReadMask
}
return nil
}
// Response message for
// [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].
type ListFeaturestoresResponse struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The Featurestores matching the request.
Featurestores []*Featurestore `protobuf:"bytes,1,rep,name=featurestores,proto3" json:"featurestores,omitempty"`
// A token, which can be sent as
// [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token]
// to retrieve the next page. If this field is omitted, there are no
// subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}
func (x *ListFeaturestoresResponse) Reset() {
*x = ListFeaturestoresResponse{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[3]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ListFeaturestoresResponse) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ListFeaturestoresResponse) ProtoMessage() {}
func (x *ListFeaturestoresResponse) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[3]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ListFeaturestoresResponse.ProtoReflect.Descriptor instead.
func (*ListFeaturestoresResponse) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{3}
}
func (x *ListFeaturestoresResponse) GetFeaturestores() []*Featurestore {
if x != nil {
return x.Featurestores
}
return nil
}
func (x *ListFeaturestoresResponse) GetNextPageToken() string {
if x != nil {
return x.NextPageToken
}
return ""
}
// Request message for
// [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeaturestore].
type UpdateFeaturestoreRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The Featurestore's `name` field is used to identify the
// Featurestore to be updated. Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}`
Featurestore *Featurestore `protobuf:"bytes,1,opt,name=featurestore,proto3" json:"featurestore,omitempty"`
// Field mask is used to specify the fields to be overwritten in the
// Featurestore resource by the update.
// The fields specified in the update_mask are relative to the resource, not
// the full request. A field will be overwritten if it is in the mask. If the
// user does not provide a mask then only the non-empty fields present in the
// request will be overwritten. Set the update_mask to `*` to override all
// fields.
//
// Updatable fields:
//
// - `labels`
// - `online_serving_config.fixed_node_count`
// - `online_serving_config.scaling`
// - `online_storage_ttl_days`
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
}
func (x *UpdateFeaturestoreRequest) Reset() {
*x = UpdateFeaturestoreRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[4]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *UpdateFeaturestoreRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*UpdateFeaturestoreRequest) ProtoMessage() {}
func (x *UpdateFeaturestoreRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[4]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use UpdateFeaturestoreRequest.ProtoReflect.Descriptor instead.
func (*UpdateFeaturestoreRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{4}
}
func (x *UpdateFeaturestoreRequest) GetFeaturestore() *Featurestore {
if x != nil {
return x.Featurestore
}
return nil
}
func (x *UpdateFeaturestoreRequest) GetUpdateMask() *fieldmaskpb.FieldMask {
if x != nil {
return x.UpdateMask
}
return nil
}
// Request message for
// [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeaturestore].
type DeleteFeaturestoreRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The name of the Featurestore to be deleted.
// Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// If set to true, any EntityTypes and Features for this Featurestore will
// also be deleted. (Otherwise, the request will only work if the Featurestore
// has no EntityTypes.)
Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
}
func (x *DeleteFeaturestoreRequest) Reset() {
*x = DeleteFeaturestoreRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[5]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *DeleteFeaturestoreRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*DeleteFeaturestoreRequest) ProtoMessage() {}
func (x *DeleteFeaturestoreRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[5]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use DeleteFeaturestoreRequest.ProtoReflect.Descriptor instead.
func (*DeleteFeaturestoreRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{5}
}
func (x *DeleteFeaturestoreRequest) GetName() string {
if x != nil {
return x.Name
}
return ""
}
func (x *DeleteFeaturestoreRequest) GetForce() bool {
if x != nil {
return x.Force
}
return false
}
// Request message for
// [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].
type ImportFeatureValuesRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Details about the source data, including the location of the storage and
// the format.
//
// Types that are assignable to Source:
//
// *ImportFeatureValuesRequest_AvroSource
// *ImportFeatureValuesRequest_BigquerySource
// *ImportFeatureValuesRequest_CsvSource
Source isImportFeatureValuesRequest_Source `protobuf_oneof:"source"`
// Source of Feature timestamp for all Feature values of each entity.
// Timestamps must be millisecond-aligned.
//
// Types that are assignable to FeatureTimeSource:
//
// *ImportFeatureValuesRequest_FeatureTimeField
// *ImportFeatureValuesRequest_FeatureTime
FeatureTimeSource isImportFeatureValuesRequest_FeatureTimeSource `protobuf_oneof:"feature_time_source"`
// Required. The resource name of the EntityType grouping the Features for
// which values are being imported. Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
// Source column that holds entity IDs. If not provided, entity IDs are
// extracted from the column named entity_id.
EntityIdField string `protobuf:"bytes,5,opt,name=entity_id_field,json=entityIdField,proto3" json:"entity_id_field,omitempty"`
// Required. Specifications defining which Feature values to import from the
// entity. The request fails if no feature_specs are provided, and having
// multiple feature_specs for one Feature is not allowed.
FeatureSpecs []*ImportFeatureValuesRequest_FeatureSpec `protobuf:"bytes,8,rep,name=feature_specs,json=featureSpecs,proto3" json:"feature_specs,omitempty"`
// If set, data will not be imported for online serving. This
// is typically used for backfilling, where Feature generation timestamps are
// not in the timestamp range needed for online serving.
DisableOnlineServing bool `protobuf:"varint,9,opt,name=disable_online_serving,json=disableOnlineServing,proto3" json:"disable_online_serving,omitempty"`
// Specifies the number of workers that are used to write data to the
// Featurestore. Consider the online serving capacity that you require to
// achieve the desired import throughput without interfering with online
// serving. The value must be positive, and less than or equal to 100.
// If not set, defaults to using 1 worker. The low count ensures minimal
// impact on online serving performance.
WorkerCount int32 `protobuf:"varint,11,opt,name=worker_count,json=workerCount,proto3" json:"worker_count,omitempty"`
// If true, API doesn't start ingestion analysis pipeline.
DisableIngestionAnalysis bool `protobuf:"varint,12,opt,name=disable_ingestion_analysis,json=disableIngestionAnalysis,proto3" json:"disable_ingestion_analysis,omitempty"`
}
func (x *ImportFeatureValuesRequest) Reset() {
*x = ImportFeatureValuesRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[6]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ImportFeatureValuesRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ImportFeatureValuesRequest) ProtoMessage() {}
func (x *ImportFeatureValuesRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[6]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ImportFeatureValuesRequest.ProtoReflect.Descriptor instead.
func (*ImportFeatureValuesRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{6}
}
func (m *ImportFeatureValuesRequest) GetSource() isImportFeatureValuesRequest_Source {
if m != nil {
return m.Source
}
return nil
}
func (x *ImportFeatureValuesRequest) GetAvroSource() *AvroSource {
if x, ok := x.GetSource().(*ImportFeatureValuesRequest_AvroSource); ok {
return x.AvroSource
}
return nil
}
func (x *ImportFeatureValuesRequest) GetBigquerySource() *BigQuerySource {
if x, ok := x.GetSource().(*ImportFeatureValuesRequest_BigquerySource); ok {
return x.BigquerySource
}
return nil
}
func (x *ImportFeatureValuesRequest) GetCsvSource() *CsvSource {
if x, ok := x.GetSource().(*ImportFeatureValuesRequest_CsvSource); ok {
return x.CsvSource
}
return nil
}
func (m *ImportFeatureValuesRequest) GetFeatureTimeSource() isImportFeatureValuesRequest_FeatureTimeSource {
if m != nil {
return m.FeatureTimeSource
}
return nil
}
func (x *ImportFeatureValuesRequest) GetFeatureTimeField() string {
if x, ok := x.GetFeatureTimeSource().(*ImportFeatureValuesRequest_FeatureTimeField); ok {
return x.FeatureTimeField
}
return ""
}
func (x *ImportFeatureValuesRequest) GetFeatureTime() *timestamppb.Timestamp {
if x, ok := x.GetFeatureTimeSource().(*ImportFeatureValuesRequest_FeatureTime); ok {
return x.FeatureTime
}
return nil
}
func (x *ImportFeatureValuesRequest) GetEntityType() string {
if x != nil {
return x.EntityType
}
return ""
}
func (x *ImportFeatureValuesRequest) GetEntityIdField() string {
if x != nil {
return x.EntityIdField
}
return ""
}
func (x *ImportFeatureValuesRequest) GetFeatureSpecs() []*ImportFeatureValuesRequest_FeatureSpec {
if x != nil {
return x.FeatureSpecs
}
return nil
}
func (x *ImportFeatureValuesRequest) GetDisableOnlineServing() bool {
if x != nil {
return x.DisableOnlineServing
}
return false
}
func (x *ImportFeatureValuesRequest) GetWorkerCount() int32 {
if x != nil {
return x.WorkerCount
}
return 0
}
func (x *ImportFeatureValuesRequest) GetDisableIngestionAnalysis() bool {
if x != nil {
return x.DisableIngestionAnalysis
}
return false
}
type isImportFeatureValuesRequest_Source interface {
isImportFeatureValuesRequest_Source()
}
type ImportFeatureValuesRequest_AvroSource struct {
AvroSource *AvroSource `protobuf:"bytes,2,opt,name=avro_source,json=avroSource,proto3,oneof"`
}
type ImportFeatureValuesRequest_BigquerySource struct {
BigquerySource *BigQuerySource `protobuf:"bytes,3,opt,name=bigquery_source,json=bigquerySource,proto3,oneof"`
}
type ImportFeatureValuesRequest_CsvSource struct {
CsvSource *CsvSource `protobuf:"bytes,4,opt,name=csv_source,json=csvSource,proto3,oneof"`
}
func (*ImportFeatureValuesRequest_AvroSource) isImportFeatureValuesRequest_Source() {}
func (*ImportFeatureValuesRequest_BigquerySource) isImportFeatureValuesRequest_Source() {}
func (*ImportFeatureValuesRequest_CsvSource) isImportFeatureValuesRequest_Source() {}
type isImportFeatureValuesRequest_FeatureTimeSource interface {
isImportFeatureValuesRequest_FeatureTimeSource()
}
type ImportFeatureValuesRequest_FeatureTimeField struct {
// Source column that holds the Feature timestamp for all Feature
// values in each entity.
FeatureTimeField string `protobuf:"bytes,6,opt,name=feature_time_field,json=featureTimeField,proto3,oneof"`
}
type ImportFeatureValuesRequest_FeatureTime struct {
// Single Feature timestamp for all entities being imported. The
// timestamp must not have higher than millisecond precision.
FeatureTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=feature_time,json=featureTime,proto3,oneof"`
}
func (*ImportFeatureValuesRequest_FeatureTimeField) isImportFeatureValuesRequest_FeatureTimeSource() {
}
func (*ImportFeatureValuesRequest_FeatureTime) isImportFeatureValuesRequest_FeatureTimeSource() {}
// Response message for
// [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].
type ImportFeatureValuesResponse struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Number of entities that have been imported by the operation.
ImportedEntityCount int64 `protobuf:"varint,1,opt,name=imported_entity_count,json=importedEntityCount,proto3" json:"imported_entity_count,omitempty"`
// Number of Feature values that have been imported by the operation.
ImportedFeatureValueCount int64 `protobuf:"varint,2,opt,name=imported_feature_value_count,json=importedFeatureValueCount,proto3" json:"imported_feature_value_count,omitempty"`
// The number of rows in input source that weren't imported due to either
// * Not having any featureValues.
// * Having a null entityId.
// * Having a null timestamp.
// * Not being parsable (applicable for CSV sources).
InvalidRowCount int64 `protobuf:"varint,6,opt,name=invalid_row_count,json=invalidRowCount,proto3" json:"invalid_row_count,omitempty"`
// The number rows that weren't ingested due to having feature timestamps
// outside the retention boundary.
TimestampOutsideRetentionRowsCount int64 `protobuf:"varint,4,opt,name=timestamp_outside_retention_rows_count,json=timestampOutsideRetentionRowsCount,proto3" json:"timestamp_outside_retention_rows_count,omitempty"`
}
func (x *ImportFeatureValuesResponse) Reset() {
*x = ImportFeatureValuesResponse{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[7]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ImportFeatureValuesResponse) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ImportFeatureValuesResponse) ProtoMessage() {}
func (x *ImportFeatureValuesResponse) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[7]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ImportFeatureValuesResponse.ProtoReflect.Descriptor instead.
func (*ImportFeatureValuesResponse) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{7}
}
func (x *ImportFeatureValuesResponse) GetImportedEntityCount() int64 {
if x != nil {
return x.ImportedEntityCount
}
return 0
}
func (x *ImportFeatureValuesResponse) GetImportedFeatureValueCount() int64 {
if x != nil {
return x.ImportedFeatureValueCount
}
return 0
}
func (x *ImportFeatureValuesResponse) GetInvalidRowCount() int64 {
if x != nil {
return x.InvalidRowCount
}
return 0
}
func (x *ImportFeatureValuesResponse) GetTimestampOutsideRetentionRowsCount() int64 {
if x != nil {
return x.TimestampOutsideRetentionRowsCount
}
return 0
}
// Request message for
// [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].
type BatchReadFeatureValuesRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Types that are assignable to ReadOption:
//
// *BatchReadFeatureValuesRequest_CsvReadInstances
// *BatchReadFeatureValuesRequest_BigqueryReadInstances
ReadOption isBatchReadFeatureValuesRequest_ReadOption `protobuf_oneof:"read_option"`
// Required. The resource name of the Featurestore from which to query Feature
// values. Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}`
Featurestore string `protobuf:"bytes,1,opt,name=featurestore,proto3" json:"featurestore,omitempty"`
// Required. Specifies output location and format.
Destination *FeatureValueDestination `protobuf:"bytes,4,opt,name=destination,proto3" json:"destination,omitempty"`
// When not empty, the specified fields in the *_read_instances source will be
// joined as-is in the output, in addition to those fields from the
// Featurestore Entity.
//
// For BigQuery source, the type of the pass-through values will be
// automatically inferred. For CSV source, the pass-through values will be
// passed as opaque bytes.
PassThroughFields []*BatchReadFeatureValuesRequest_PassThroughField `protobuf:"bytes,8,rep,name=pass_through_fields,json=passThroughFields,proto3" json:"pass_through_fields,omitempty"`
// Required. Specifies EntityType grouping Features to read values of and
// settings.
EntityTypeSpecs []*BatchReadFeatureValuesRequest_EntityTypeSpec `protobuf:"bytes,7,rep,name=entity_type_specs,json=entityTypeSpecs,proto3" json:"entity_type_specs,omitempty"`
// Optional. Excludes Feature values with feature generation timestamp before
// this timestamp. If not set, retrieve oldest values kept in Feature Store.
// Timestamp, if present, must not have higher than millisecond precision.
StartTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
}
func (x *BatchReadFeatureValuesRequest) Reset() {
*x = BatchReadFeatureValuesRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[8]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *BatchReadFeatureValuesRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*BatchReadFeatureValuesRequest) ProtoMessage() {}
func (x *BatchReadFeatureValuesRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[8]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use BatchReadFeatureValuesRequest.ProtoReflect.Descriptor instead.
func (*BatchReadFeatureValuesRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{8}
}
func (m *BatchReadFeatureValuesRequest) GetReadOption() isBatchReadFeatureValuesRequest_ReadOption {
if m != nil {
return m.ReadOption
}
return nil
}
func (x *BatchReadFeatureValuesRequest) GetCsvReadInstances() *CsvSource {
if x, ok := x.GetReadOption().(*BatchReadFeatureValuesRequest_CsvReadInstances); ok {
return x.CsvReadInstances
}
return nil
}
func (x *BatchReadFeatureValuesRequest) GetBigqueryReadInstances() *BigQuerySource {
if x, ok := x.GetReadOption().(*BatchReadFeatureValuesRequest_BigqueryReadInstances); ok {
return x.BigqueryReadInstances
}
return nil
}
func (x *BatchReadFeatureValuesRequest) GetFeaturestore() string {
if x != nil {
return x.Featurestore
}
return ""
}
func (x *BatchReadFeatureValuesRequest) GetDestination() *FeatureValueDestination {
if x != nil {
return x.Destination
}
return nil
}
func (x *BatchReadFeatureValuesRequest) GetPassThroughFields() []*BatchReadFeatureValuesRequest_PassThroughField {
if x != nil {
return x.PassThroughFields
}
return nil
}
func (x *BatchReadFeatureValuesRequest) GetEntityTypeSpecs() []*BatchReadFeatureValuesRequest_EntityTypeSpec {
if x != nil {
return x.EntityTypeSpecs
}
return nil
}
func (x *BatchReadFeatureValuesRequest) GetStartTime() *timestamppb.Timestamp {
if x != nil {
return x.StartTime
}
return nil
}
type isBatchReadFeatureValuesRequest_ReadOption interface {
isBatchReadFeatureValuesRequest_ReadOption()
}
type BatchReadFeatureValuesRequest_CsvReadInstances struct {
// Each read instance consists of exactly one read timestamp and one or more
// entity IDs identifying entities of the corresponding EntityTypes whose
// Features are requested.
//
// Each output instance contains Feature values of requested entities
// concatenated together as of the read time.
//
// An example read instance may be `foo_entity_id, bar_entity_id,
// 2020-01-01T10:00:00.123Z`.
//
// An example output instance may be `foo_entity_id, bar_entity_id,
// 2020-01-01T10:00:00.123Z, foo_entity_feature1_value,
// bar_entity_feature2_value`.
//
// Timestamp in each read instance must be millisecond-aligned.
//
// `csv_read_instances` are read instances stored in a plain-text CSV file.
// The header should be:
//
// [ENTITY_TYPE_ID1], [ENTITY_TYPE_ID2], ..., timestamp
//
// The columns can be in any order.
//
// Values in the timestamp column must use the RFC 3339 format, e.g.
// `2012-07-30T10:43:17.123Z`.
CsvReadInstances *CsvSource `protobuf:"bytes,3,opt,name=csv_read_instances,json=csvReadInstances,proto3,oneof"`
}
type BatchReadFeatureValuesRequest_BigqueryReadInstances struct {
// Similar to csv_read_instances, but from BigQuery source.
BigqueryReadInstances *BigQuerySource `protobuf:"bytes,5,opt,name=bigquery_read_instances,json=bigqueryReadInstances,proto3,oneof"`
}
func (*BatchReadFeatureValuesRequest_CsvReadInstances) isBatchReadFeatureValuesRequest_ReadOption() {}
func (*BatchReadFeatureValuesRequest_BigqueryReadInstances) isBatchReadFeatureValuesRequest_ReadOption() {
}
// Request message for
// [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].
type ExportFeatureValuesRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The mode in which Feature values are exported.
//
// Types that are assignable to Mode:
//
// *ExportFeatureValuesRequest_SnapshotExport_
// *ExportFeatureValuesRequest_FullExport_
Mode isExportFeatureValuesRequest_Mode `protobuf_oneof:"mode"`
// Required. The resource name of the EntityType from which to export Feature
// values. Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
// Required. Specifies destination location and format.
Destination *FeatureValueDestination `protobuf:"bytes,4,opt,name=destination,proto3" json:"destination,omitempty"`
// Required. Selects Features to export values of.
FeatureSelector *FeatureSelector `protobuf:"bytes,5,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
// Per-Feature export settings.
Settings []*DestinationFeatureSetting `protobuf:"bytes,6,rep,name=settings,proto3" json:"settings,omitempty"`
}
func (x *ExportFeatureValuesRequest) Reset() {
*x = ExportFeatureValuesRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[9]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ExportFeatureValuesRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ExportFeatureValuesRequest) ProtoMessage() {}
func (x *ExportFeatureValuesRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[9]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ExportFeatureValuesRequest.ProtoReflect.Descriptor instead.
func (*ExportFeatureValuesRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{9}
}
func (m *ExportFeatureValuesRequest) GetMode() isExportFeatureValuesRequest_Mode {
if m != nil {
return m.Mode
}
return nil
}
func (x *ExportFeatureValuesRequest) GetSnapshotExport() *ExportFeatureValuesRequest_SnapshotExport {
if x, ok := x.GetMode().(*ExportFeatureValuesRequest_SnapshotExport_); ok {
return x.SnapshotExport
}
return nil
}
func (x *ExportFeatureValuesRequest) GetFullExport() *ExportFeatureValuesRequest_FullExport {
if x, ok := x.GetMode().(*ExportFeatureValuesRequest_FullExport_); ok {
return x.FullExport
}
return nil
}
func (x *ExportFeatureValuesRequest) GetEntityType() string {
if x != nil {
return x.EntityType
}
return ""
}
func (x *ExportFeatureValuesRequest) GetDestination() *FeatureValueDestination {
if x != nil {
return x.Destination
}
return nil
}
func (x *ExportFeatureValuesRequest) GetFeatureSelector() *FeatureSelector {
if x != nil {
return x.FeatureSelector
}
return nil
}
func (x *ExportFeatureValuesRequest) GetSettings() []*DestinationFeatureSetting {
if x != nil {
return x.Settings
}
return nil
}
type isExportFeatureValuesRequest_Mode interface {
isExportFeatureValuesRequest_Mode()
}
type ExportFeatureValuesRequest_SnapshotExport_ struct {
// Exports the latest Feature values of all entities of the EntityType
// within a time range.
SnapshotExport *ExportFeatureValuesRequest_SnapshotExport `protobuf:"bytes,3,opt,name=snapshot_export,json=snapshotExport,proto3,oneof"`
}
type ExportFeatureValuesRequest_FullExport_ struct {
// Exports all historical values of all entities of the EntityType within a
// time range
FullExport *ExportFeatureValuesRequest_FullExport `protobuf:"bytes,7,opt,name=full_export,json=fullExport,proto3,oneof"`
}
func (*ExportFeatureValuesRequest_SnapshotExport_) isExportFeatureValuesRequest_Mode() {}
func (*ExportFeatureValuesRequest_FullExport_) isExportFeatureValuesRequest_Mode() {}
type DestinationFeatureSetting struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The ID of the Feature to apply the setting to.
FeatureId string `protobuf:"bytes,1,opt,name=feature_id,json=featureId,proto3" json:"feature_id,omitempty"`
// Specify the field name in the export destination. If not specified,
// Feature ID is used.
DestinationField string `protobuf:"bytes,2,opt,name=destination_field,json=destinationField,proto3" json:"destination_field,omitempty"`
}
func (x *DestinationFeatureSetting) Reset() {
*x = DestinationFeatureSetting{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[10]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *DestinationFeatureSetting) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*DestinationFeatureSetting) ProtoMessage() {}
func (x *DestinationFeatureSetting) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[10]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use DestinationFeatureSetting.ProtoReflect.Descriptor instead.
func (*DestinationFeatureSetting) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{10}
}
func (x *DestinationFeatureSetting) GetFeatureId() string {
if x != nil {
return x.FeatureId
}
return ""
}
func (x *DestinationFeatureSetting) GetDestinationField() string {
if x != nil {
return x.DestinationField
}
return ""
}
// A destination location for Feature values and format.
type FeatureValueDestination struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Types that are assignable to Destination:
//
// *FeatureValueDestination_BigqueryDestination
// *FeatureValueDestination_TfrecordDestination
// *FeatureValueDestination_CsvDestination
Destination isFeatureValueDestination_Destination `protobuf_oneof:"destination"`
}
func (x *FeatureValueDestination) Reset() {
*x = FeatureValueDestination{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[11]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *FeatureValueDestination) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*FeatureValueDestination) ProtoMessage() {}
func (x *FeatureValueDestination) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[11]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use FeatureValueDestination.ProtoReflect.Descriptor instead.
func (*FeatureValueDestination) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{11}
}
func (m *FeatureValueDestination) GetDestination() isFeatureValueDestination_Destination {
if m != nil {
return m.Destination
}
return nil
}
func (x *FeatureValueDestination) GetBigqueryDestination() *BigQueryDestination {
if x, ok := x.GetDestination().(*FeatureValueDestination_BigqueryDestination); ok {
return x.BigqueryDestination
}
return nil
}
func (x *FeatureValueDestination) GetTfrecordDestination() *TFRecordDestination {
if x, ok := x.GetDestination().(*FeatureValueDestination_TfrecordDestination); ok {
return x.TfrecordDestination
}
return nil
}
func (x *FeatureValueDestination) GetCsvDestination() *CsvDestination {
if x, ok := x.GetDestination().(*FeatureValueDestination_CsvDestination); ok {
return x.CsvDestination
}
return nil
}
type isFeatureValueDestination_Destination interface {
isFeatureValueDestination_Destination()
}
type FeatureValueDestination_BigqueryDestination struct {
// Output in BigQuery format.
// [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri]
// in
// [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination]
// must refer to a table.
BigqueryDestination *BigQueryDestination `protobuf:"bytes,1,opt,name=bigquery_destination,json=bigqueryDestination,proto3,oneof"`
}
type FeatureValueDestination_TfrecordDestination struct {
// Output in TFRecord format.
//
// Below are the mapping from Feature value type
// in Featurestore to Feature value type in TFRecord:
//
// Value type in Featurestore | Value type in TFRecord
// DOUBLE, DOUBLE_ARRAY | FLOAT_LIST
// INT64, INT64_ARRAY | INT64_LIST
// STRING, STRING_ARRAY, BYTES | BYTES_LIST
// true -> byte_string("true"), false -> byte_string("false")
// BOOL, BOOL_ARRAY (true, false) | BYTES_LIST
TfrecordDestination *TFRecordDestination `protobuf:"bytes,2,opt,name=tfrecord_destination,json=tfrecordDestination,proto3,oneof"`
}
type FeatureValueDestination_CsvDestination struct {
// Output in CSV format. Array Feature value types are not allowed in CSV
// format.
CsvDestination *CsvDestination `protobuf:"bytes,3,opt,name=csv_destination,json=csvDestination,proto3,oneof"`
}
func (*FeatureValueDestination_BigqueryDestination) isFeatureValueDestination_Destination() {}
func (*FeatureValueDestination_TfrecordDestination) isFeatureValueDestination_Destination() {}
func (*FeatureValueDestination_CsvDestination) isFeatureValueDestination_Destination() {}
// Response message for
// [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].
type ExportFeatureValuesResponse struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
}
func (x *ExportFeatureValuesResponse) Reset() {
*x = ExportFeatureValuesResponse{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[12]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ExportFeatureValuesResponse) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ExportFeatureValuesResponse) ProtoMessage() {}
func (x *ExportFeatureValuesResponse) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[12]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ExportFeatureValuesResponse.ProtoReflect.Descriptor instead.
func (*ExportFeatureValuesResponse) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{12}
}
// Response message for
// [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].
type BatchReadFeatureValuesResponse struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
}
func (x *BatchReadFeatureValuesResponse) Reset() {
*x = BatchReadFeatureValuesResponse{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[13]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *BatchReadFeatureValuesResponse) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*BatchReadFeatureValuesResponse) ProtoMessage() {}
func (x *BatchReadFeatureValuesResponse) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[13]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use BatchReadFeatureValuesResponse.ProtoReflect.Descriptor instead.
func (*BatchReadFeatureValuesResponse) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{13}
}
// Request message for
// [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateEntityType].
type CreateEntityTypeRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The resource name of the Featurestore to create EntityTypes.
// Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The EntityType to create.
EntityType *EntityType `protobuf:"bytes,2,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
// Required. The ID to use for the EntityType, which will become the final
// component of the EntityType's resource name.
//
// This value may be up to 60 characters, and valid characters are
// `[a-z0-9_]`. The first character cannot be a number.
//
// The value must be unique within a featurestore.
EntityTypeId string `protobuf:"bytes,3,opt,name=entity_type_id,json=entityTypeId,proto3" json:"entity_type_id,omitempty"`
}
func (x *CreateEntityTypeRequest) Reset() {
*x = CreateEntityTypeRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[14]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *CreateEntityTypeRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*CreateEntityTypeRequest) ProtoMessage() {}
func (x *CreateEntityTypeRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[14]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use CreateEntityTypeRequest.ProtoReflect.Descriptor instead.
func (*CreateEntityTypeRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{14}
}
func (x *CreateEntityTypeRequest) GetParent() string {
if x != nil {
return x.Parent
}
return ""
}
func (x *CreateEntityTypeRequest) GetEntityType() *EntityType {
if x != nil {
return x.EntityType
}
return nil
}
func (x *CreateEntityTypeRequest) GetEntityTypeId() string {
if x != nil {
return x.EntityTypeId
}
return ""
}
// Request message for
// [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetEntityType].
type GetEntityTypeRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The name of the EntityType resource.
// Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}
func (x *GetEntityTypeRequest) Reset() {
*x = GetEntityTypeRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[15]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *GetEntityTypeRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*GetEntityTypeRequest) ProtoMessage() {}
func (x *GetEntityTypeRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[15]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use GetEntityTypeRequest.ProtoReflect.Descriptor instead.
func (*GetEntityTypeRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{15}
}
func (x *GetEntityTypeRequest) GetName() string {
if x != nil {
return x.Name
}
return ""
}
// Request message for
// [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].
type ListEntityTypesRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The resource name of the Featurestore to list EntityTypes.
// Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Lists the EntityTypes that match the filter expression. The following
// filters are supported:
//
// * `create_time`: Supports `=`, `!=`, `<`, `>`, `>=`, and `<=` comparisons.
// Values must be in RFC 3339 format.
// * `update_time`: Supports `=`, `!=`, `<`, `>`, `>=`, and `<=` comparisons.
// Values must be in RFC 3339 format.
// * `labels`: Supports key-value equality as well as key presence.
//
// Examples:
//
// - `create_time > \"2020-01-31T15:30:00.000000Z\" OR
// update_time > \"2020-01-31T15:30:00.000000Z\"` --> EntityTypes created
// or updated after 2020-01-31T15:30:00.000000Z.
// - `labels.active = yes AND labels.env = prod` --> EntityTypes having both
// (active: yes) and (env: prod) labels.
// - `labels.env: *` --> Any EntityType which has a label with 'env' as the
// key.
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The maximum number of EntityTypes to return. The service may return fewer
// than this value. If unspecified, at most 1000 EntityTypes will be returned.
// The maximum value is 1000; any value greater than 1000 will be coerced to
// 1000.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A page token, received from a previous
// [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
// call. Provide this to retrieve the subsequent page.
//
// When paginating, all other parameters provided to
// [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
// must match the call that provided the page token.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// A comma-separated list of fields to order by, sorted in ascending order.
// Use "desc" after a field name for descending.
//
// Supported fields:
//
// - `entity_type_id`
// - `create_time`
// - `update_time`
OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
}
func (x *ListEntityTypesRequest) Reset() {
*x = ListEntityTypesRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[16]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ListEntityTypesRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ListEntityTypesRequest) ProtoMessage() {}
func (x *ListEntityTypesRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[16]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ListEntityTypesRequest.ProtoReflect.Descriptor instead.
func (*ListEntityTypesRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{16}
}
func (x *ListEntityTypesRequest) GetParent() string {
if x != nil {
return x.Parent
}
return ""
}
func (x *ListEntityTypesRequest) GetFilter() string {
if x != nil {
return x.Filter
}
return ""
}
func (x *ListEntityTypesRequest) GetPageSize() int32 {
if x != nil {
return x.PageSize
}
return 0
}
func (x *ListEntityTypesRequest) GetPageToken() string {
if x != nil {
return x.PageToken
}
return ""
}
func (x *ListEntityTypesRequest) GetOrderBy() string {
if x != nil {
return x.OrderBy
}
return ""
}
func (x *ListEntityTypesRequest) GetReadMask() *fieldmaskpb.FieldMask {
if x != nil {
return x.ReadMask
}
return nil
}
// Response message for
// [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].
type ListEntityTypesResponse struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The EntityTypes matching the request.
EntityTypes []*EntityType `protobuf:"bytes,1,rep,name=entity_types,json=entityTypes,proto3" json:"entity_types,omitempty"`
// A token, which can be sent as
// [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token]
// to retrieve the next page. If this field is omitted, there are no
// subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}
func (x *ListEntityTypesResponse) Reset() {
*x = ListEntityTypesResponse{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[17]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ListEntityTypesResponse) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ListEntityTypesResponse) ProtoMessage() {}
func (x *ListEntityTypesResponse) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[17]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ListEntityTypesResponse.ProtoReflect.Descriptor instead.
func (*ListEntityTypesResponse) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{17}
}
func (x *ListEntityTypesResponse) GetEntityTypes() []*EntityType {
if x != nil {
return x.EntityTypes
}
return nil
}
func (x *ListEntityTypesResponse) GetNextPageToken() string {
if x != nil {
return x.NextPageToken
}
return ""
}
// Request message for
// [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateEntityType].
type UpdateEntityTypeRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The EntityType's `name` field is used to identify the EntityType
// to be updated. Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
EntityType *EntityType `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
// Field mask is used to specify the fields to be overwritten in the
// EntityType resource by the update.
// The fields specified in the update_mask are relative to the resource, not
// the full request. A field will be overwritten if it is in the mask. If the
// user does not provide a mask then only the non-empty fields present in the
// request will be overwritten. Set the update_mask to `*` to override all
// fields.
//
// Updatable fields:
//
// - `description`
// - `labels`
// - `monitoring_config.snapshot_analysis.disabled`
// - `monitoring_config.snapshot_analysis.monitoring_interval_days`
// - `monitoring_config.snapshot_analysis.staleness_days`
// - `monitoring_config.import_features_analysis.state`
// - `monitoring_config.import_features_analysis.anomaly_detection_baseline`
// - `monitoring_config.numerical_threshold_config.value`
// - `monitoring_config.categorical_threshold_config.value`
// - `offline_storage_ttl_days`
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
}
func (x *UpdateEntityTypeRequest) Reset() {
*x = UpdateEntityTypeRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[18]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *UpdateEntityTypeRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*UpdateEntityTypeRequest) ProtoMessage() {}
func (x *UpdateEntityTypeRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[18]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use UpdateEntityTypeRequest.ProtoReflect.Descriptor instead.
func (*UpdateEntityTypeRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{18}
}
func (x *UpdateEntityTypeRequest) GetEntityType() *EntityType {
if x != nil {
return x.EntityType
}
return nil
}
func (x *UpdateEntityTypeRequest) GetUpdateMask() *fieldmaskpb.FieldMask {
if x != nil {
return x.UpdateMask
}
return nil
}
// Request message for [FeaturestoreService.DeleteEntityTypes][].
type DeleteEntityTypeRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The name of the EntityType to be deleted.
// Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// If set to true, any Features for this EntityType will also be deleted.
// (Otherwise, the request will only work if the EntityType has no Features.)
Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
}
func (x *DeleteEntityTypeRequest) Reset() {
*x = DeleteEntityTypeRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[19]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *DeleteEntityTypeRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*DeleteEntityTypeRequest) ProtoMessage() {}
func (x *DeleteEntityTypeRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[19]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use DeleteEntityTypeRequest.ProtoReflect.Descriptor instead.
func (*DeleteEntityTypeRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{19}
}
func (x *DeleteEntityTypeRequest) GetName() string {
if x != nil {
return x.Name
}
return ""
}
func (x *DeleteEntityTypeRequest) GetForce() bool {
if x != nil {
return x.Force
}
return false
}
// Request message for
// [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeature].
// Request message for
// [FeatureRegistryService.CreateFeature][google.cloud.aiplatform.v1beta1.FeatureRegistryService.CreateFeature].
type CreateFeatureRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The resource name of the EntityType or FeatureGroup to create a
// Feature. Format for entity_type as parent:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
// Format for feature_group as parent:
// `projects/{project}/locations/{location}/featureGroups/{feature_group}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The Feature to create.
Feature *Feature `protobuf:"bytes,2,opt,name=feature,proto3" json:"feature,omitempty"`
// Required. The ID to use for the Feature, which will become the final
// component of the Feature's resource name.
//
// This value may be up to 128 characters, and valid characters are
// `[a-z0-9_]`. The first character cannot be a number.
//
// The value must be unique within an EntityType/FeatureGroup.
FeatureId string `protobuf:"bytes,3,opt,name=feature_id,json=featureId,proto3" json:"feature_id,omitempty"`
}
func (x *CreateFeatureRequest) Reset() {
*x = CreateFeatureRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[20]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *CreateFeatureRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*CreateFeatureRequest) ProtoMessage() {}
func (x *CreateFeatureRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[20]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use CreateFeatureRequest.ProtoReflect.Descriptor instead.
func (*CreateFeatureRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{20}
}
func (x *CreateFeatureRequest) GetParent() string {
if x != nil {
return x.Parent
}
return ""
}
func (x *CreateFeatureRequest) GetFeature() *Feature {
if x != nil {
return x.Feature
}
return nil
}
func (x *CreateFeatureRequest) GetFeatureId() string {
if x != nil {
return x.FeatureId
}
return ""
}
// Request message for
// [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].
type BatchCreateFeaturesRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The resource name of the EntityType to create the batch of
// Features under. Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The request message specifying the Features to create. All
// Features must be created under the same parent EntityType. The `parent`
// field in each child request message can be omitted. If `parent` is set in a
// child request, then the value must match the `parent` value in this request
// message.
Requests []*CreateFeatureRequest `protobuf:"bytes,2,rep,name=requests,proto3" json:"requests,omitempty"`
}
func (x *BatchCreateFeaturesRequest) Reset() {
*x = BatchCreateFeaturesRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[21]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *BatchCreateFeaturesRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*BatchCreateFeaturesRequest) ProtoMessage() {}
func (x *BatchCreateFeaturesRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[21]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use BatchCreateFeaturesRequest.ProtoReflect.Descriptor instead.
func (*BatchCreateFeaturesRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{21}
}
func (x *BatchCreateFeaturesRequest) GetParent() string {
if x != nil {
return x.Parent
}
return ""
}
func (x *BatchCreateFeaturesRequest) GetRequests() []*CreateFeatureRequest {
if x != nil {
return x.Requests
}
return nil
}
// Response message for
// [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].
type BatchCreateFeaturesResponse struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The Features created.
Features []*Feature `protobuf:"bytes,1,rep,name=features,proto3" json:"features,omitempty"`
}
func (x *BatchCreateFeaturesResponse) Reset() {
*x = BatchCreateFeaturesResponse{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[22]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *BatchCreateFeaturesResponse) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*BatchCreateFeaturesResponse) ProtoMessage() {}
func (x *BatchCreateFeaturesResponse) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[22]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use BatchCreateFeaturesResponse.ProtoReflect.Descriptor instead.
func (*BatchCreateFeaturesResponse) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{22}
}
func (x *BatchCreateFeaturesResponse) GetFeatures() []*Feature {
if x != nil {
return x.Features
}
return nil
}
// Request message for
// [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeature].
// Request message for
// [FeatureRegistryService.GetFeature][google.cloud.aiplatform.v1beta1.FeatureRegistryService.GetFeature].
type GetFeatureRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The name of the Feature resource.
// Format for entity_type as parent:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
// Format for feature_group as parent:
// `projects/{project}/locations/{location}/featureGroups/{feature_group}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}
func (x *GetFeatureRequest) Reset() {
*x = GetFeatureRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[23]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *GetFeatureRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*GetFeatureRequest) ProtoMessage() {}
func (x *GetFeatureRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[23]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use GetFeatureRequest.ProtoReflect.Descriptor instead.
func (*GetFeatureRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{23}
}
func (x *GetFeatureRequest) GetName() string {
if x != nil {
return x.Name
}
return ""
}
// Request message for
// [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].
// Request message for
// [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1beta1.FeatureRegistryService.ListFeatures].
type ListFeaturesRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The resource name of the Location to list Features.
// Format for entity_type as parent:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
// Format for feature_group as parent:
// `projects/{project}/locations/{location}/featureGroups/{feature_group}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Lists the Features that match the filter expression. The following
// filters are supported:
//
// * `value_type`: Supports = and != comparisons.
// * `create_time`: Supports =, !=, <, >, >=, and <= comparisons. Values must
// be in RFC 3339 format.
// * `update_time`: Supports =, !=, <, >, >=, and <= comparisons. Values must
// be in RFC 3339 format.
// * `labels`: Supports key-value equality as well as key presence.
//
// Examples:
//
// - `value_type = DOUBLE` --> Features whose type is DOUBLE.
// - `create_time > \"2020-01-31T15:30:00.000000Z\" OR
// update_time > \"2020-01-31T15:30:00.000000Z\"` --> EntityTypes created
// or updated after 2020-01-31T15:30:00.000000Z.
// - `labels.active = yes AND labels.env = prod` --> Features having both
// (active: yes) and (env: prod) labels.
// - `labels.env: *` --> Any Feature which has a label with 'env' as the
// key.
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The maximum number of Features to return. The service may return fewer
// than this value. If unspecified, at most 1000 Features will be returned.
// The maximum value is 1000; any value greater than 1000 will be coerced to
// 1000.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A page token, received from a previous
// [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
// call or
// [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1beta1.FeatureRegistryService.ListFeatures]
// call. Provide this to retrieve the subsequent page.
//
// When paginating, all other parameters provided to
// [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
// or
// [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1beta1.FeatureRegistryService.ListFeatures]
// must match the call that provided the page token.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// A comma-separated list of fields to order by, sorted in ascending order.
// Use "desc" after a field name for descending.
// Supported fields:
//
// - `feature_id`
// - `value_type` (Not supported for FeatureRegistry Feature)
// - `create_time`
// - `update_time`
OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// Only applicable for Vertex AI Feature Store (Legacy).
// If set, return the most recent
// [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count]
// of stats for each Feature in response. Valid value is [0, 10]. If number of
// stats exists <
// [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count],
// return all existing stats.
LatestStatsCount int32 `protobuf:"varint,7,opt,name=latest_stats_count,json=latestStatsCount,proto3" json:"latest_stats_count,omitempty"`
}
func (x *ListFeaturesRequest) Reset() {
*x = ListFeaturesRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[24]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ListFeaturesRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ListFeaturesRequest) ProtoMessage() {}
func (x *ListFeaturesRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[24]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ListFeaturesRequest.ProtoReflect.Descriptor instead.
func (*ListFeaturesRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{24}
}
func (x *ListFeaturesRequest) GetParent() string {
if x != nil {
return x.Parent
}
return ""
}
func (x *ListFeaturesRequest) GetFilter() string {
if x != nil {
return x.Filter
}
return ""
}
func (x *ListFeaturesRequest) GetPageSize() int32 {
if x != nil {
return x.PageSize
}
return 0
}
func (x *ListFeaturesRequest) GetPageToken() string {
if x != nil {
return x.PageToken
}
return ""
}
func (x *ListFeaturesRequest) GetOrderBy() string {
if x != nil {
return x.OrderBy
}
return ""
}
func (x *ListFeaturesRequest) GetReadMask() *fieldmaskpb.FieldMask {
if x != nil {
return x.ReadMask
}
return nil
}
func (x *ListFeaturesRequest) GetLatestStatsCount() int32 {
if x != nil {
return x.LatestStatsCount
}
return 0
}
// Response message for
// [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].
// Response message for
// [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1beta1.FeatureRegistryService.ListFeatures].
type ListFeaturesResponse struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The Features matching the request.
Features []*Feature `protobuf:"bytes,1,rep,name=features,proto3" json:"features,omitempty"`
// A token, which can be sent as
// [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token]
// to retrieve the next page. If this field is omitted, there are no
// subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}
func (x *ListFeaturesResponse) Reset() {
*x = ListFeaturesResponse{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[25]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ListFeaturesResponse) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ListFeaturesResponse) ProtoMessage() {}
func (x *ListFeaturesResponse) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[25]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ListFeaturesResponse.ProtoReflect.Descriptor instead.
func (*ListFeaturesResponse) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{25}
}
func (x *ListFeaturesResponse) GetFeatures() []*Feature {
if x != nil {
return x.Features
}
return nil
}
func (x *ListFeaturesResponse) GetNextPageToken() string {
if x != nil {
return x.NextPageToken
}
return ""
}
// Request message for
// [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].
type SearchFeaturesRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The resource name of the Location to search Features.
// Format:
// `projects/{project}/locations/{location}`
Location string `protobuf:"bytes,1,opt,name=location,proto3" json:"location,omitempty"`
// Query string that is a conjunction of field-restricted queries and/or
// field-restricted filters. Field-restricted queries and filters can be
// combined using `AND` to form a conjunction.
//
// A field query is in the form FIELD:QUERY. This implicitly checks if QUERY
// exists as a substring within Feature's FIELD. The QUERY
// and the FIELD are converted to a sequence of words (i.e. tokens) for
// comparison. This is done by:
//
// - Removing leading/trailing whitespace and tokenizing the search value.
// Characters that are not one of alphanumeric `[a-zA-Z0-9]`, underscore
// `_`, or asterisk `*` are treated as delimiters for tokens. `*` is treated
// as a wildcard that matches characters within a token.
// - Ignoring case.
// - Prepending an asterisk to the first and appending an asterisk to the
// last token in QUERY.
//
// A QUERY must be either a singular token or a phrase. A phrase is one or
// multiple words enclosed in double quotation marks ("). With phrases, the
// order of the words is important. Words in the phrase must be matching in
// order and consecutively.
//
// Supported FIELDs for field-restricted queries:
//
// * `feature_id`
// * `description`
// * `entity_type_id`
//
// Examples:
//
// * `feature_id: foo` --> Matches a Feature with ID containing the substring
// `foo` (eg. `foo`, `foofeature`, `barfoo`).
// * `feature_id: foo*feature` --> Matches a Feature with ID containing the
// substring `foo*feature` (eg. `foobarfeature`).
// * `feature_id: foo AND description: bar` --> Matches a Feature with ID
// containing the substring `foo` and description containing the substring
// `bar`.
//
// Besides field queries, the following exact-match filters are
// supported. The exact-match filters do not support wildcards. Unlike
// field-restricted queries, exact-match filters are case-sensitive.
//
// * `feature_id`: Supports = comparisons.
// * `description`: Supports = comparisons. Multi-token filters should be
// enclosed in quotes.
// * `entity_type_id`: Supports = comparisons.
// * `value_type`: Supports = and != comparisons.
// * `labels`: Supports key-value equality as well as key presence.
// * `featurestore_id`: Supports = comparisons.
//
// Examples:
//
// * `description = "foo bar"` --> Any Feature with description exactly equal
// to `foo bar`
// - `value_type = DOUBLE` --> Features whose type is DOUBLE.
// - `labels.active = yes AND labels.env = prod` --> Features having both
// (active: yes) and (env: prod) labels.
// - `labels.env: *` --> Any Feature which has a label with `env` as the
// key.
Query string `protobuf:"bytes,3,opt,name=query,proto3" json:"query,omitempty"`
// The maximum number of Features to return. The service may return fewer
// than this value. If unspecified, at most 100 Features will be returned.
// The maximum value is 100; any value greater than 100 will be coerced to
// 100.
PageSize int32 `protobuf:"varint,4,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A page token, received from a previous
// [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures]
// call. Provide this to retrieve the subsequent page.
//
// When paginating, all other parameters provided to
// [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures],
// except `page_size`, must match the call that provided the page token.
PageToken string `protobuf:"bytes,5,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
}
func (x *SearchFeaturesRequest) Reset() {
*x = SearchFeaturesRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[26]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *SearchFeaturesRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*SearchFeaturesRequest) ProtoMessage() {}
func (x *SearchFeaturesRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[26]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use SearchFeaturesRequest.ProtoReflect.Descriptor instead.
func (*SearchFeaturesRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{26}
}
func (x *SearchFeaturesRequest) GetLocation() string {
if x != nil {
return x.Location
}
return ""
}
func (x *SearchFeaturesRequest) GetQuery() string {
if x != nil {
return x.Query
}
return ""
}
func (x *SearchFeaturesRequest) GetPageSize() int32 {
if x != nil {
return x.PageSize
}
return 0
}
func (x *SearchFeaturesRequest) GetPageToken() string {
if x != nil {
return x.PageToken
}
return ""
}
// Response message for
// [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].
type SearchFeaturesResponse struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The Features matching the request.
//
// Fields returned:
//
// - `name`
// - `description`
// - `labels`
// - `create_time`
// - `update_time`
Features []*Feature `protobuf:"bytes,1,rep,name=features,proto3" json:"features,omitempty"`
// A token, which can be sent as
// [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token]
// to retrieve the next page. If this field is omitted, there are no
// subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}
func (x *SearchFeaturesResponse) Reset() {
*x = SearchFeaturesResponse{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[27]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *SearchFeaturesResponse) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*SearchFeaturesResponse) ProtoMessage() {}
func (x *SearchFeaturesResponse) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[27]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use SearchFeaturesResponse.ProtoReflect.Descriptor instead.
func (*SearchFeaturesResponse) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{27}
}
func (x *SearchFeaturesResponse) GetFeatures() []*Feature {
if x != nil {
return x.Features
}
return nil
}
func (x *SearchFeaturesResponse) GetNextPageToken() string {
if x != nil {
return x.NextPageToken
}
return ""
}
// Request message for
// [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeature].
// Request message for
// [FeatureRegistryService.UpdateFeature][google.cloud.aiplatform.v1beta1.FeatureRegistryService.UpdateFeature].
type UpdateFeatureRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The Feature's `name` field is used to identify the Feature to be
// updated.
// Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`
// `projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}`
Feature *Feature `protobuf:"bytes,1,opt,name=feature,proto3" json:"feature,omitempty"`
// Field mask is used to specify the fields to be overwritten in the
// Features resource by the update.
// The fields specified in the update_mask are relative to the resource, not
// the full request. A field will be overwritten if it is in the mask. If the
// user does not provide a mask then only the non-empty fields present in the
// request will be overwritten. Set the update_mask to `*` to override all
// fields.
//
// Updatable fields:
//
// - `description`
// - `labels`
// - `disable_monitoring` (Not supported for FeatureRegistry Feature)
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
}
func (x *UpdateFeatureRequest) Reset() {
*x = UpdateFeatureRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[28]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *UpdateFeatureRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*UpdateFeatureRequest) ProtoMessage() {}
func (x *UpdateFeatureRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[28]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use UpdateFeatureRequest.ProtoReflect.Descriptor instead.
func (*UpdateFeatureRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{28}
}
func (x *UpdateFeatureRequest) GetFeature() *Feature {
if x != nil {
return x.Feature
}
return nil
}
func (x *UpdateFeatureRequest) GetUpdateMask() *fieldmaskpb.FieldMask {
if x != nil {
return x.UpdateMask
}
return nil
}
// Request message for
// [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeature].
// Request message for
// [FeatureRegistryService.DeleteFeature][google.cloud.aiplatform.v1beta1.FeatureRegistryService.DeleteFeature].
type DeleteFeatureRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The name of the Features to be deleted.
// Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`
// `projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}
func (x *DeleteFeatureRequest) Reset() {
*x = DeleteFeatureRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[29]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *DeleteFeatureRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*DeleteFeatureRequest) ProtoMessage() {}
func (x *DeleteFeatureRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[29]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use DeleteFeatureRequest.ProtoReflect.Descriptor instead.
func (*DeleteFeatureRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{29}
}
func (x *DeleteFeatureRequest) GetName() string {
if x != nil {
return x.Name
}
return ""
}
// Details of operations that perform create Featurestore.
type CreateFeaturestoreOperationMetadata struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Operation metadata for Featurestore.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
}
func (x *CreateFeaturestoreOperationMetadata) Reset() {
*x = CreateFeaturestoreOperationMetadata{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[30]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *CreateFeaturestoreOperationMetadata) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*CreateFeaturestoreOperationMetadata) ProtoMessage() {}
func (x *CreateFeaturestoreOperationMetadata) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[30]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use CreateFeaturestoreOperationMetadata.ProtoReflect.Descriptor instead.
func (*CreateFeaturestoreOperationMetadata) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{30}
}
func (x *CreateFeaturestoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
if x != nil {
return x.GenericMetadata
}
return nil
}
// Details of operations that perform update Featurestore.
type UpdateFeaturestoreOperationMetadata struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Operation metadata for Featurestore.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
}
func (x *UpdateFeaturestoreOperationMetadata) Reset() {
*x = UpdateFeaturestoreOperationMetadata{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[31]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *UpdateFeaturestoreOperationMetadata) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*UpdateFeaturestoreOperationMetadata) ProtoMessage() {}
func (x *UpdateFeaturestoreOperationMetadata) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[31]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use UpdateFeaturestoreOperationMetadata.ProtoReflect.Descriptor instead.
func (*UpdateFeaturestoreOperationMetadata) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{31}
}
func (x *UpdateFeaturestoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
if x != nil {
return x.GenericMetadata
}
return nil
}
// Details of operations that perform import Feature values.
type ImportFeatureValuesOperationMetadata struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Operation metadata for Featurestore import Feature values.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// Number of entities that have been imported by the operation.
ImportedEntityCount int64 `protobuf:"varint,2,opt,name=imported_entity_count,json=importedEntityCount,proto3" json:"imported_entity_count,omitempty"`
// Number of Feature values that have been imported by the operation.
ImportedFeatureValueCount int64 `protobuf:"varint,3,opt,name=imported_feature_value_count,json=importedFeatureValueCount,proto3" json:"imported_feature_value_count,omitempty"`
// The source URI from where Feature values are imported.
SourceUris []string `protobuf:"bytes,4,rep,name=source_uris,json=sourceUris,proto3" json:"source_uris,omitempty"`
// The number of rows in input source that weren't imported due to either
// * Not having any featureValues.
// * Having a null entityId.
// * Having a null timestamp.
// * Not being parsable (applicable for CSV sources).
InvalidRowCount int64 `protobuf:"varint,6,opt,name=invalid_row_count,json=invalidRowCount,proto3" json:"invalid_row_count,omitempty"`
// The number rows that weren't ingested due to having timestamps outside the
// retention boundary.
TimestampOutsideRetentionRowsCount int64 `protobuf:"varint,7,opt,name=timestamp_outside_retention_rows_count,json=timestampOutsideRetentionRowsCount,proto3" json:"timestamp_outside_retention_rows_count,omitempty"`
// List of ImportFeatureValues operations running under a single EntityType
// that are blocking this operation.
BlockingOperationIds []int64 `protobuf:"varint,8,rep,packed,name=blocking_operation_ids,json=blockingOperationIds,proto3" json:"blocking_operation_ids,omitempty"`
}
func (x *ImportFeatureValuesOperationMetadata) Reset() {
*x = ImportFeatureValuesOperationMetadata{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[32]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ImportFeatureValuesOperationMetadata) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ImportFeatureValuesOperationMetadata) ProtoMessage() {}
func (x *ImportFeatureValuesOperationMetadata) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[32]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ImportFeatureValuesOperationMetadata.ProtoReflect.Descriptor instead.
func (*ImportFeatureValuesOperationMetadata) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{32}
}
func (x *ImportFeatureValuesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
if x != nil {
return x.GenericMetadata
}
return nil
}
func (x *ImportFeatureValuesOperationMetadata) GetImportedEntityCount() int64 {
if x != nil {
return x.ImportedEntityCount
}
return 0
}
func (x *ImportFeatureValuesOperationMetadata) GetImportedFeatureValueCount() int64 {
if x != nil {
return x.ImportedFeatureValueCount
}
return 0
}
func (x *ImportFeatureValuesOperationMetadata) GetSourceUris() []string {
if x != nil {
return x.SourceUris
}
return nil
}
func (x *ImportFeatureValuesOperationMetadata) GetInvalidRowCount() int64 {
if x != nil {
return x.InvalidRowCount
}
return 0
}
func (x *ImportFeatureValuesOperationMetadata) GetTimestampOutsideRetentionRowsCount() int64 {
if x != nil {
return x.TimestampOutsideRetentionRowsCount
}
return 0
}
func (x *ImportFeatureValuesOperationMetadata) GetBlockingOperationIds() []int64 {
if x != nil {
return x.BlockingOperationIds
}
return nil
}
// Details of operations that exports Features values.
type ExportFeatureValuesOperationMetadata struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Operation metadata for Featurestore export Feature values.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
}
func (x *ExportFeatureValuesOperationMetadata) Reset() {
*x = ExportFeatureValuesOperationMetadata{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[33]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ExportFeatureValuesOperationMetadata) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ExportFeatureValuesOperationMetadata) ProtoMessage() {}
func (x *ExportFeatureValuesOperationMetadata) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[33]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ExportFeatureValuesOperationMetadata.ProtoReflect.Descriptor instead.
func (*ExportFeatureValuesOperationMetadata) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{33}
}
func (x *ExportFeatureValuesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
if x != nil {
return x.GenericMetadata
}
return nil
}
// Details of operations that batch reads Feature values.
type BatchReadFeatureValuesOperationMetadata struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Operation metadata for Featurestore batch read Features values.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
}
func (x *BatchReadFeatureValuesOperationMetadata) Reset() {
*x = BatchReadFeatureValuesOperationMetadata{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[34]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *BatchReadFeatureValuesOperationMetadata) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*BatchReadFeatureValuesOperationMetadata) ProtoMessage() {}
func (x *BatchReadFeatureValuesOperationMetadata) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[34]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use BatchReadFeatureValuesOperationMetadata.ProtoReflect.Descriptor instead.
func (*BatchReadFeatureValuesOperationMetadata) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{34}
}
func (x *BatchReadFeatureValuesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
if x != nil {
return x.GenericMetadata
}
return nil
}
// Details of operations that delete Feature values.
type DeleteFeatureValuesOperationMetadata struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Operation metadata for Featurestore delete Features values.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
}
func (x *DeleteFeatureValuesOperationMetadata) Reset() {
*x = DeleteFeatureValuesOperationMetadata{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[35]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *DeleteFeatureValuesOperationMetadata) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*DeleteFeatureValuesOperationMetadata) ProtoMessage() {}
func (x *DeleteFeatureValuesOperationMetadata) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[35]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use DeleteFeatureValuesOperationMetadata.ProtoReflect.Descriptor instead.
func (*DeleteFeatureValuesOperationMetadata) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{35}
}
func (x *DeleteFeatureValuesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
if x != nil {
return x.GenericMetadata
}
return nil
}
// Details of operations that perform create EntityType.
type CreateEntityTypeOperationMetadata struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Operation metadata for EntityType.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
}
func (x *CreateEntityTypeOperationMetadata) Reset() {
*x = CreateEntityTypeOperationMetadata{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[36]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *CreateEntityTypeOperationMetadata) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*CreateEntityTypeOperationMetadata) ProtoMessage() {}
func (x *CreateEntityTypeOperationMetadata) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[36]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use CreateEntityTypeOperationMetadata.ProtoReflect.Descriptor instead.
func (*CreateEntityTypeOperationMetadata) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{36}
}
func (x *CreateEntityTypeOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
if x != nil {
return x.GenericMetadata
}
return nil
}
// Details of operations that perform create Feature.
type CreateFeatureOperationMetadata struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Operation metadata for Feature.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
}
func (x *CreateFeatureOperationMetadata) Reset() {
*x = CreateFeatureOperationMetadata{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[37]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *CreateFeatureOperationMetadata) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*CreateFeatureOperationMetadata) ProtoMessage() {}
func (x *CreateFeatureOperationMetadata) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[37]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use CreateFeatureOperationMetadata.ProtoReflect.Descriptor instead.
func (*CreateFeatureOperationMetadata) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{37}
}
func (x *CreateFeatureOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
if x != nil {
return x.GenericMetadata
}
return nil
}
// Details of operations that perform batch create Features.
type BatchCreateFeaturesOperationMetadata struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Operation metadata for Feature.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
}
func (x *BatchCreateFeaturesOperationMetadata) Reset() {
*x = BatchCreateFeaturesOperationMetadata{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[38]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *BatchCreateFeaturesOperationMetadata) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*BatchCreateFeaturesOperationMetadata) ProtoMessage() {}
func (x *BatchCreateFeaturesOperationMetadata) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[38]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use BatchCreateFeaturesOperationMetadata.ProtoReflect.Descriptor instead.
func (*BatchCreateFeaturesOperationMetadata) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{38}
}
func (x *BatchCreateFeaturesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
if x != nil {
return x.GenericMetadata
}
return nil
}
// Request message for
// [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues].
type DeleteFeatureValuesRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Defines options to select feature values to be deleted.
//
// Types that are assignable to DeleteOption:
//
// *DeleteFeatureValuesRequest_SelectEntity_
// *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature_
DeleteOption isDeleteFeatureValuesRequest_DeleteOption `protobuf_oneof:"DeleteOption"`
// Required. The resource name of the EntityType grouping the Features for
// which values are being deleted from. Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
}
func (x *DeleteFeatureValuesRequest) Reset() {
*x = DeleteFeatureValuesRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[39]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *DeleteFeatureValuesRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*DeleteFeatureValuesRequest) ProtoMessage() {}
func (x *DeleteFeatureValuesRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[39]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use DeleteFeatureValuesRequest.ProtoReflect.Descriptor instead.
func (*DeleteFeatureValuesRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{39}
}
func (m *DeleteFeatureValuesRequest) GetDeleteOption() isDeleteFeatureValuesRequest_DeleteOption {
if m != nil {
return m.DeleteOption
}
return nil
}
func (x *DeleteFeatureValuesRequest) GetSelectEntity() *DeleteFeatureValuesRequest_SelectEntity {
if x, ok := x.GetDeleteOption().(*DeleteFeatureValuesRequest_SelectEntity_); ok {
return x.SelectEntity
}
return nil
}
func (x *DeleteFeatureValuesRequest) GetSelectTimeRangeAndFeature() *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature {
if x, ok := x.GetDeleteOption().(*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature_); ok {
return x.SelectTimeRangeAndFeature
}
return nil
}
func (x *DeleteFeatureValuesRequest) GetEntityType() string {
if x != nil {
return x.EntityType
}
return ""
}
type isDeleteFeatureValuesRequest_DeleteOption interface {
isDeleteFeatureValuesRequest_DeleteOption()
}
type DeleteFeatureValuesRequest_SelectEntity_ struct {
// Select feature values to be deleted by specifying entities.
SelectEntity *DeleteFeatureValuesRequest_SelectEntity `protobuf:"bytes,2,opt,name=select_entity,json=selectEntity,proto3,oneof"`
}
type DeleteFeatureValuesRequest_SelectTimeRangeAndFeature_ struct {
// Select feature values to be deleted by specifying time range and
// features.
SelectTimeRangeAndFeature *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature `protobuf:"bytes,3,opt,name=select_time_range_and_feature,json=selectTimeRangeAndFeature,proto3,oneof"`
}
func (*DeleteFeatureValuesRequest_SelectEntity_) isDeleteFeatureValuesRequest_DeleteOption() {}
func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature_) isDeleteFeatureValuesRequest_DeleteOption() {
}
// Response message for
// [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues].
type DeleteFeatureValuesResponse struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Response based on which delete option is specified in the
// request
//
// Types that are assignable to Response:
//
// *DeleteFeatureValuesResponse_SelectEntity_
// *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature_
Response isDeleteFeatureValuesResponse_Response `protobuf_oneof:"response"`
}
func (x *DeleteFeatureValuesResponse) Reset() {
*x = DeleteFeatureValuesResponse{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[40]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *DeleteFeatureValuesResponse) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*DeleteFeatureValuesResponse) ProtoMessage() {}
func (x *DeleteFeatureValuesResponse) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[40]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use DeleteFeatureValuesResponse.ProtoReflect.Descriptor instead.
func (*DeleteFeatureValuesResponse) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{40}
}
func (m *DeleteFeatureValuesResponse) GetResponse() isDeleteFeatureValuesResponse_Response {
if m != nil {
return m.Response
}
return nil
}
func (x *DeleteFeatureValuesResponse) GetSelectEntity() *DeleteFeatureValuesResponse_SelectEntity {
if x, ok := x.GetResponse().(*DeleteFeatureValuesResponse_SelectEntity_); ok {
return x.SelectEntity
}
return nil
}
func (x *DeleteFeatureValuesResponse) GetSelectTimeRangeAndFeature() *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature {
if x, ok := x.GetResponse().(*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature_); ok {
return x.SelectTimeRangeAndFeature
}
return nil
}
type isDeleteFeatureValuesResponse_Response interface {
isDeleteFeatureValuesResponse_Response()
}
type DeleteFeatureValuesResponse_SelectEntity_ struct {
// Response for request specifying the entities to delete
SelectEntity *DeleteFeatureValuesResponse_SelectEntity `protobuf:"bytes,1,opt,name=select_entity,json=selectEntity,proto3,oneof"`
}
type DeleteFeatureValuesResponse_SelectTimeRangeAndFeature_ struct {
// Response for request specifying time range and feature
SelectTimeRangeAndFeature *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature `protobuf:"bytes,2,opt,name=select_time_range_and_feature,json=selectTimeRangeAndFeature,proto3,oneof"`
}
func (*DeleteFeatureValuesResponse_SelectEntity_) isDeleteFeatureValuesResponse_Response() {}
func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature_) isDeleteFeatureValuesResponse_Response() {
}
// Selector for entityId. Getting ids from the given source.
type EntityIdSelector struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Details about the source data, including the location of the storage and
// the format.
//
// Types that are assignable to EntityIdsSource:
//
// *EntityIdSelector_CsvSource
EntityIdsSource isEntityIdSelector_EntityIdsSource `protobuf_oneof:"EntityIdsSource"`
// Source column that holds entity IDs. If not provided, entity IDs are
// extracted from the column named entity_id.
EntityIdField string `protobuf:"bytes,5,opt,name=entity_id_field,json=entityIdField,proto3" json:"entity_id_field,omitempty"`
}
func (x *EntityIdSelector) Reset() {
*x = EntityIdSelector{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[41]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *EntityIdSelector) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*EntityIdSelector) ProtoMessage() {}
func (x *EntityIdSelector) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[41]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use EntityIdSelector.ProtoReflect.Descriptor instead.
func (*EntityIdSelector) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{41}
}
func (m *EntityIdSelector) GetEntityIdsSource() isEntityIdSelector_EntityIdsSource {
if m != nil {
return m.EntityIdsSource
}
return nil
}
func (x *EntityIdSelector) GetCsvSource() *CsvSource {
if x, ok := x.GetEntityIdsSource().(*EntityIdSelector_CsvSource); ok {
return x.CsvSource
}
return nil
}
func (x *EntityIdSelector) GetEntityIdField() string {
if x != nil {
return x.EntityIdField
}
return ""
}
type isEntityIdSelector_EntityIdsSource interface {
isEntityIdSelector_EntityIdsSource()
}
type EntityIdSelector_CsvSource struct {
// Source of Csv
CsvSource *CsvSource `protobuf:"bytes,3,opt,name=csv_source,json=csvSource,proto3,oneof"`
}
func (*EntityIdSelector_CsvSource) isEntityIdSelector_EntityIdsSource() {}
// Defines the Feature value(s) to import.
type ImportFeatureValuesRequest_FeatureSpec struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. ID of the Feature to import values of. This Feature must exist
// in the target EntityType, or the request will fail.
Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
// Source column to get the Feature values from. If not set, uses the column
// with the same name as the Feature ID.
SourceField string `protobuf:"bytes,2,opt,name=source_field,json=sourceField,proto3" json:"source_field,omitempty"`
}
func (x *ImportFeatureValuesRequest_FeatureSpec) Reset() {
*x = ImportFeatureValuesRequest_FeatureSpec{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[42]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ImportFeatureValuesRequest_FeatureSpec) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ImportFeatureValuesRequest_FeatureSpec) ProtoMessage() {}
func (x *ImportFeatureValuesRequest_FeatureSpec) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[42]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ImportFeatureValuesRequest_FeatureSpec.ProtoReflect.Descriptor instead.
func (*ImportFeatureValuesRequest_FeatureSpec) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{6, 0}
}
func (x *ImportFeatureValuesRequest_FeatureSpec) GetId() string {
if x != nil {
return x.Id
}
return ""
}
func (x *ImportFeatureValuesRequest_FeatureSpec) GetSourceField() string {
if x != nil {
return x.SourceField
}
return ""
}
// Describe pass-through fields in read_instance source.
type BatchReadFeatureValuesRequest_PassThroughField struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The name of the field in the CSV header or the name of the
// column in BigQuery table. The naming restriction is the same as
// [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
FieldName string `protobuf:"bytes,1,opt,name=field_name,json=fieldName,proto3" json:"field_name,omitempty"`
}
func (x *BatchReadFeatureValuesRequest_PassThroughField) Reset() {
*x = BatchReadFeatureValuesRequest_PassThroughField{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[43]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *BatchReadFeatureValuesRequest_PassThroughField) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*BatchReadFeatureValuesRequest_PassThroughField) ProtoMessage() {}
func (x *BatchReadFeatureValuesRequest_PassThroughField) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[43]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use BatchReadFeatureValuesRequest_PassThroughField.ProtoReflect.Descriptor instead.
func (*BatchReadFeatureValuesRequest_PassThroughField) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{8, 0}
}
func (x *BatchReadFeatureValuesRequest_PassThroughField) GetFieldName() string {
if x != nil {
return x.FieldName
}
return ""
}
// Selects Features of an EntityType to read values of and specifies read
// settings.
type BatchReadFeatureValuesRequest_EntityTypeSpec struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. ID of the EntityType to select Features. The EntityType id is
// the
// [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id]
// specified during EntityType creation.
EntityTypeId string `protobuf:"bytes,1,opt,name=entity_type_id,json=entityTypeId,proto3" json:"entity_type_id,omitempty"`
// Required. Selectors choosing which Feature values to read from the
// EntityType.
FeatureSelector *FeatureSelector `protobuf:"bytes,2,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
// Per-Feature settings for the batch read.
Settings []*DestinationFeatureSetting `protobuf:"bytes,3,rep,name=settings,proto3" json:"settings,omitempty"`
}
func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) Reset() {
*x = BatchReadFeatureValuesRequest_EntityTypeSpec{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[44]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoMessage() {}
func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[44]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use BatchReadFeatureValuesRequest_EntityTypeSpec.ProtoReflect.Descriptor instead.
func (*BatchReadFeatureValuesRequest_EntityTypeSpec) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{8, 1}
}
func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) GetEntityTypeId() string {
if x != nil {
return x.EntityTypeId
}
return ""
}
func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) GetFeatureSelector() *FeatureSelector {
if x != nil {
return x.FeatureSelector
}
return nil
}
func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) GetSettings() []*DestinationFeatureSetting {
if x != nil {
return x.Settings
}
return nil
}
// Describes exporting the latest Feature values of all entities of the
// EntityType between [start_time, snapshot_time].
type ExportFeatureValuesRequest_SnapshotExport struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Exports Feature values as of this timestamp. If not set,
// retrieve values as of now. Timestamp, if present, must not have higher
// than millisecond precision.
SnapshotTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=snapshot_time,json=snapshotTime,proto3" json:"snapshot_time,omitempty"`
// Excludes Feature values with feature generation timestamp before this
// timestamp. If not set, retrieve oldest values kept in Feature Store.
// Timestamp, if present, must not have higher than millisecond precision.
StartTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
}
func (x *ExportFeatureValuesRequest_SnapshotExport) Reset() {
*x = ExportFeatureValuesRequest_SnapshotExport{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[45]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ExportFeatureValuesRequest_SnapshotExport) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ExportFeatureValuesRequest_SnapshotExport) ProtoMessage() {}
func (x *ExportFeatureValuesRequest_SnapshotExport) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[45]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ExportFeatureValuesRequest_SnapshotExport.ProtoReflect.Descriptor instead.
func (*ExportFeatureValuesRequest_SnapshotExport) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{9, 0}
}
func (x *ExportFeatureValuesRequest_SnapshotExport) GetSnapshotTime() *timestamppb.Timestamp {
if x != nil {
return x.SnapshotTime
}
return nil
}
func (x *ExportFeatureValuesRequest_SnapshotExport) GetStartTime() *timestamppb.Timestamp {
if x != nil {
return x.StartTime
}
return nil
}
// Describes exporting all historical Feature values of all entities of the
// EntityType between [start_time, end_time].
type ExportFeatureValuesRequest_FullExport struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Excludes Feature values with feature generation timestamp before this
// timestamp. If not set, retrieve oldest values kept in Feature Store.
// Timestamp, if present, must not have higher than millisecond precision.
StartTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
// Exports Feature values as of this timestamp. If not set,
// retrieve values as of now. Timestamp, if present, must not have higher
// than millisecond precision.
EndTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
}
func (x *ExportFeatureValuesRequest_FullExport) Reset() {
*x = ExportFeatureValuesRequest_FullExport{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[46]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ExportFeatureValuesRequest_FullExport) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ExportFeatureValuesRequest_FullExport) ProtoMessage() {}
func (x *ExportFeatureValuesRequest_FullExport) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[46]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ExportFeatureValuesRequest_FullExport.ProtoReflect.Descriptor instead.
func (*ExportFeatureValuesRequest_FullExport) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{9, 1}
}
func (x *ExportFeatureValuesRequest_FullExport) GetStartTime() *timestamppb.Timestamp {
if x != nil {
return x.StartTime
}
return nil
}
func (x *ExportFeatureValuesRequest_FullExport) GetEndTime() *timestamppb.Timestamp {
if x != nil {
return x.EndTime
}
return nil
}
// Message to select entity.
// If an entity id is selected, all the feature values corresponding to the
// entity id will be deleted, including the entityId.
type DeleteFeatureValuesRequest_SelectEntity struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. Selectors choosing feature values of which entity id to be
// deleted from the EntityType.
EntityIdSelector *EntityIdSelector `protobuf:"bytes,1,opt,name=entity_id_selector,json=entityIdSelector,proto3" json:"entity_id_selector,omitempty"`
}
func (x *DeleteFeatureValuesRequest_SelectEntity) Reset() {
*x = DeleteFeatureValuesRequest_SelectEntity{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[47]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *DeleteFeatureValuesRequest_SelectEntity) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*DeleteFeatureValuesRequest_SelectEntity) ProtoMessage() {}
func (x *DeleteFeatureValuesRequest_SelectEntity) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[47]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use DeleteFeatureValuesRequest_SelectEntity.ProtoReflect.Descriptor instead.
func (*DeleteFeatureValuesRequest_SelectEntity) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{39, 0}
}
func (x *DeleteFeatureValuesRequest_SelectEntity) GetEntityIdSelector() *EntityIdSelector {
if x != nil {
return x.EntityIdSelector
}
return nil
}
// Message to select time range and feature.
// Values of the selected feature generated within an inclusive time range
// will be deleted. Using this option permanently deletes the feature values
// from the specified feature IDs within the specified time range.
// This might include data from the online storage. If you want to retain
// any deleted historical data in the online storage, you must re-ingest it.
type DeleteFeatureValuesRequest_SelectTimeRangeAndFeature struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. Select feature generated within a half-inclusive time range.
// The time range is lower inclusive and upper exclusive.
TimeRange *interval.Interval `protobuf:"bytes,1,opt,name=time_range,json=timeRange,proto3" json:"time_range,omitempty"`
// Required. Selectors choosing which feature values to be deleted from the
// EntityType.
FeatureSelector *FeatureSelector `protobuf:"bytes,2,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
// If set, data will not be deleted from online storage.
// When time range is older than the data in online storage, setting this to
// be true will make the deletion have no impact on online serving.
SkipOnlineStorageDelete bool `protobuf:"varint,3,opt,name=skip_online_storage_delete,json=skipOnlineStorageDelete,proto3" json:"skip_online_storage_delete,omitempty"`
}
func (x *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) Reset() {
*x = DeleteFeatureValuesRequest_SelectTimeRangeAndFeature{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[48]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) ProtoMessage() {}
func (x *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[48]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use DeleteFeatureValuesRequest_SelectTimeRangeAndFeature.ProtoReflect.Descriptor instead.
func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{39, 1}
}
func (x *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) GetTimeRange() *interval.Interval {
if x != nil {
return x.TimeRange
}
return nil
}
func (x *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) GetFeatureSelector() *FeatureSelector {
if x != nil {
return x.FeatureSelector
}
return nil
}
func (x *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) GetSkipOnlineStorageDelete() bool {
if x != nil {
return x.SkipOnlineStorageDelete
}
return false
}
// Response message if the request uses the SelectEntity option.
type DeleteFeatureValuesResponse_SelectEntity struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The count of deleted entity rows in the offline storage.
// Each row corresponds to the combination of an entity ID and a timestamp.
// One entity ID can have multiple rows in the offline storage.
OfflineStorageDeletedEntityRowCount int64 `protobuf:"varint,1,opt,name=offline_storage_deleted_entity_row_count,json=offlineStorageDeletedEntityRowCount,proto3" json:"offline_storage_deleted_entity_row_count,omitempty"`
// The count of deleted entities in the online storage.
// Each entity ID corresponds to one entity.
OnlineStorageDeletedEntityCount int64 `protobuf:"varint,2,opt,name=online_storage_deleted_entity_count,json=onlineStorageDeletedEntityCount,proto3" json:"online_storage_deleted_entity_count,omitempty"`
}
func (x *DeleteFeatureValuesResponse_SelectEntity) Reset() {
*x = DeleteFeatureValuesResponse_SelectEntity{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[49]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *DeleteFeatureValuesResponse_SelectEntity) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*DeleteFeatureValuesResponse_SelectEntity) ProtoMessage() {}
func (x *DeleteFeatureValuesResponse_SelectEntity) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[49]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use DeleteFeatureValuesResponse_SelectEntity.ProtoReflect.Descriptor instead.
func (*DeleteFeatureValuesResponse_SelectEntity) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{40, 0}
}
func (x *DeleteFeatureValuesResponse_SelectEntity) GetOfflineStorageDeletedEntityRowCount() int64 {
if x != nil {
return x.OfflineStorageDeletedEntityRowCount
}
return 0
}
func (x *DeleteFeatureValuesResponse_SelectEntity) GetOnlineStorageDeletedEntityCount() int64 {
if x != nil {
return x.OnlineStorageDeletedEntityCount
}
return 0
}
// Response message if the request uses the SelectTimeRangeAndFeature option.
type DeleteFeatureValuesResponse_SelectTimeRangeAndFeature struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The count of the features or columns impacted.
// This is the same as the feature count in the request.
ImpactedFeatureCount int64 `protobuf:"varint,1,opt,name=impacted_feature_count,json=impactedFeatureCount,proto3" json:"impacted_feature_count,omitempty"`
// The count of modified entity rows in the offline storage.
// Each row corresponds to the combination of an entity ID and a timestamp.
// One entity ID can have multiple rows in the offline storage.
// Within each row, only the features specified in the request are
// deleted.
OfflineStorageModifiedEntityRowCount int64 `protobuf:"varint,2,opt,name=offline_storage_modified_entity_row_count,json=offlineStorageModifiedEntityRowCount,proto3" json:"offline_storage_modified_entity_row_count,omitempty"`
// The count of modified entities in the online storage.
// Each entity ID corresponds to one entity.
// Within each entity, only the features specified in the request are
// deleted.
OnlineStorageModifiedEntityCount int64 `protobuf:"varint,3,opt,name=online_storage_modified_entity_count,json=onlineStorageModifiedEntityCount,proto3" json:"online_storage_modified_entity_count,omitempty"`
}
func (x *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) Reset() {
*x = DeleteFeatureValuesResponse_SelectTimeRangeAndFeature{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[50]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) ProtoMessage() {}
func (x *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[50]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use DeleteFeatureValuesResponse_SelectTimeRangeAndFeature.ProtoReflect.Descriptor instead.
func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP(), []int{40, 1}
}
func (x *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) GetImpactedFeatureCount() int64 {
if x != nil {
return x.ImpactedFeatureCount
}
return 0
}
func (x *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) GetOfflineStorageModifiedEntityRowCount() int64 {
if x != nil {
return x.OfflineStorageModifiedEntityRowCount
}
return 0
}
func (x *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) GetOnlineStorageModifiedEntityCount() int64 {
if x != nil {
return x.OnlineStorageModifiedEntityCount
}
return 0
}
var File_google_cloud_aiplatform_v1beta1_featurestore_service_proto protoreflect.FileDescriptor
var file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDesc = []byte{
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}
var (
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescOnce sync.Once
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescData = file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDesc
)
func file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescGZIP() []byte {
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescOnce.Do(func() {
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescData)
})
return file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDescData
}
var file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes = make([]protoimpl.MessageInfo, 51)
var file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_goTypes = []interface{}{
(*CreateFeaturestoreRequest)(nil), // 0: google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
(*GetFeaturestoreRequest)(nil), // 1: google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
(*ListFeaturestoresRequest)(nil), // 2: google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
(*ListFeaturestoresResponse)(nil), // 3: google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
(*UpdateFeaturestoreRequest)(nil), // 4: google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
(*DeleteFeaturestoreRequest)(nil), // 5: google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
(*ImportFeatureValuesRequest)(nil), // 6: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
(*ImportFeatureValuesResponse)(nil), // 7: google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
(*BatchReadFeatureValuesRequest)(nil), // 8: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
(*ExportFeatureValuesRequest)(nil), // 9: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
(*DestinationFeatureSetting)(nil), // 10: google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
(*FeatureValueDestination)(nil), // 11: google.cloud.aiplatform.v1beta1.FeatureValueDestination
(*ExportFeatureValuesResponse)(nil), // 12: google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse
(*BatchReadFeatureValuesResponse)(nil), // 13: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse
(*CreateEntityTypeRequest)(nil), // 14: google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
(*GetEntityTypeRequest)(nil), // 15: google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
(*ListEntityTypesRequest)(nil), // 16: google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
(*ListEntityTypesResponse)(nil), // 17: google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
(*UpdateEntityTypeRequest)(nil), // 18: google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
(*DeleteEntityTypeRequest)(nil), // 19: google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
(*CreateFeatureRequest)(nil), // 20: google.cloud.aiplatform.v1beta1.CreateFeatureRequest
(*BatchCreateFeaturesRequest)(nil), // 21: google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
(*BatchCreateFeaturesResponse)(nil), // 22: google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
(*GetFeatureRequest)(nil), // 23: google.cloud.aiplatform.v1beta1.GetFeatureRequest
(*ListFeaturesRequest)(nil), // 24: google.cloud.aiplatform.v1beta1.ListFeaturesRequest
(*ListFeaturesResponse)(nil), // 25: google.cloud.aiplatform.v1beta1.ListFeaturesResponse
(*SearchFeaturesRequest)(nil), // 26: google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
(*SearchFeaturesResponse)(nil), // 27: google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
(*UpdateFeatureRequest)(nil), // 28: google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
(*DeleteFeatureRequest)(nil), // 29: google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
(*CreateFeaturestoreOperationMetadata)(nil), // 30: google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
(*UpdateFeaturestoreOperationMetadata)(nil), // 31: google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
(*ImportFeatureValuesOperationMetadata)(nil), // 32: google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
(*ExportFeatureValuesOperationMetadata)(nil), // 33: google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
(*BatchReadFeatureValuesOperationMetadata)(nil), // 34: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
(*DeleteFeatureValuesOperationMetadata)(nil), // 35: google.cloud.aiplatform.v1beta1.DeleteFeatureValuesOperationMetadata
(*CreateEntityTypeOperationMetadata)(nil), // 36: google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
(*CreateFeatureOperationMetadata)(nil), // 37: google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
(*BatchCreateFeaturesOperationMetadata)(nil), // 38: google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
(*DeleteFeatureValuesRequest)(nil), // 39: google.cloud.aiplatform.v1beta1.DeleteFeatureValuesRequest
(*DeleteFeatureValuesResponse)(nil), // 40: google.cloud.aiplatform.v1beta1.DeleteFeatureValuesResponse
(*EntityIdSelector)(nil), // 41: google.cloud.aiplatform.v1beta1.EntityIdSelector
(*ImportFeatureValuesRequest_FeatureSpec)(nil), // 42: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
(*BatchReadFeatureValuesRequest_PassThroughField)(nil), // 43: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
(*BatchReadFeatureValuesRequest_EntityTypeSpec)(nil), // 44: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
(*ExportFeatureValuesRequest_SnapshotExport)(nil), // 45: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
(*ExportFeatureValuesRequest_FullExport)(nil), // 46: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
(*DeleteFeatureValuesRequest_SelectEntity)(nil), // 47: google.cloud.aiplatform.v1beta1.DeleteFeatureValuesRequest.SelectEntity
(*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature)(nil), // 48: google.cloud.aiplatform.v1beta1.DeleteFeatureValuesRequest.SelectTimeRangeAndFeature
(*DeleteFeatureValuesResponse_SelectEntity)(nil), // 49: google.cloud.aiplatform.v1beta1.DeleteFeatureValuesResponse.SelectEntity
(*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature)(nil), // 50: google.cloud.aiplatform.v1beta1.DeleteFeatureValuesResponse.SelectTimeRangeAndFeature
(*Featurestore)(nil), // 51: google.cloud.aiplatform.v1beta1.Featurestore
(*fieldmaskpb.FieldMask)(nil), // 52: google.protobuf.FieldMask
(*AvroSource)(nil), // 53: google.cloud.aiplatform.v1beta1.AvroSource
(*BigQuerySource)(nil), // 54: google.cloud.aiplatform.v1beta1.BigQuerySource
(*CsvSource)(nil), // 55: google.cloud.aiplatform.v1beta1.CsvSource
(*timestamppb.Timestamp)(nil), // 56: google.protobuf.Timestamp
(*FeatureSelector)(nil), // 57: google.cloud.aiplatform.v1beta1.FeatureSelector
(*BigQueryDestination)(nil), // 58: google.cloud.aiplatform.v1beta1.BigQueryDestination
(*TFRecordDestination)(nil), // 59: google.cloud.aiplatform.v1beta1.TFRecordDestination
(*CsvDestination)(nil), // 60: google.cloud.aiplatform.v1beta1.CsvDestination
(*EntityType)(nil), // 61: google.cloud.aiplatform.v1beta1.EntityType
(*Feature)(nil), // 62: google.cloud.aiplatform.v1beta1.Feature
(*GenericOperationMetadata)(nil), // 63: google.cloud.aiplatform.v1beta1.GenericOperationMetadata
(*interval.Interval)(nil), // 64: google.type.Interval
(*longrunningpb.Operation)(nil), // 65: google.longrunning.Operation
}
var file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_depIdxs = []int32{
51, // 0: google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest.featurestore:type_name -> google.cloud.aiplatform.v1beta1.Featurestore
52, // 1: google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.read_mask:type_name -> google.protobuf.FieldMask
51, // 2: google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse.featurestores:type_name -> google.cloud.aiplatform.v1beta1.Featurestore
51, // 3: google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest.featurestore:type_name -> google.cloud.aiplatform.v1beta1.Featurestore
52, // 4: google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest.update_mask:type_name -> google.protobuf.FieldMask
53, // 5: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.avro_source:type_name -> google.cloud.aiplatform.v1beta1.AvroSource
54, // 6: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.bigquery_source:type_name -> google.cloud.aiplatform.v1beta1.BigQuerySource
55, // 7: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.csv_source:type_name -> google.cloud.aiplatform.v1beta1.CsvSource
56, // 8: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.feature_time:type_name -> google.protobuf.Timestamp
42, // 9: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.feature_specs:type_name -> google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
55, // 10: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.csv_read_instances:type_name -> google.cloud.aiplatform.v1beta1.CsvSource
54, // 11: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.bigquery_read_instances:type_name -> google.cloud.aiplatform.v1beta1.BigQuerySource
11, // 12: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.destination:type_name -> google.cloud.aiplatform.v1beta1.FeatureValueDestination
43, // 13: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.pass_through_fields:type_name -> google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
44, // 14: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.entity_type_specs:type_name -> google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
56, // 15: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.start_time:type_name -> google.protobuf.Timestamp
45, // 16: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.snapshot_export:type_name -> google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
46, // 17: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.full_export:type_name -> google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
11, // 18: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.destination:type_name -> google.cloud.aiplatform.v1beta1.FeatureValueDestination
57, // 19: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.feature_selector:type_name -> google.cloud.aiplatform.v1beta1.FeatureSelector
10, // 20: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.settings:type_name -> google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
58, // 21: google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination:type_name -> google.cloud.aiplatform.v1beta1.BigQueryDestination
59, // 22: google.cloud.aiplatform.v1beta1.FeatureValueDestination.tfrecord_destination:type_name -> google.cloud.aiplatform.v1beta1.TFRecordDestination
60, // 23: google.cloud.aiplatform.v1beta1.FeatureValueDestination.csv_destination:type_name -> google.cloud.aiplatform.v1beta1.CsvDestination
61, // 24: google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type:type_name -> google.cloud.aiplatform.v1beta1.EntityType
52, // 25: google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.read_mask:type_name -> google.protobuf.FieldMask
61, // 26: google.cloud.aiplatform.v1beta1.ListEntityTypesResponse.entity_types:type_name -> google.cloud.aiplatform.v1beta1.EntityType
61, // 27: google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest.entity_type:type_name -> google.cloud.aiplatform.v1beta1.EntityType
52, // 28: google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest.update_mask:type_name -> google.protobuf.FieldMask
62, // 29: google.cloud.aiplatform.v1beta1.CreateFeatureRequest.feature:type_name -> google.cloud.aiplatform.v1beta1.Feature
20, // 30: google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest.requests:type_name -> google.cloud.aiplatform.v1beta1.CreateFeatureRequest
62, // 31: google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse.features:type_name -> google.cloud.aiplatform.v1beta1.Feature
52, // 32: google.cloud.aiplatform.v1beta1.ListFeaturesRequest.read_mask:type_name -> google.protobuf.FieldMask
62, // 33: google.cloud.aiplatform.v1beta1.ListFeaturesResponse.features:type_name -> google.cloud.aiplatform.v1beta1.Feature
62, // 34: google.cloud.aiplatform.v1beta1.SearchFeaturesResponse.features:type_name -> google.cloud.aiplatform.v1beta1.Feature
62, // 35: google.cloud.aiplatform.v1beta1.UpdateFeatureRequest.feature:type_name -> google.cloud.aiplatform.v1beta1.Feature
52, // 36: google.cloud.aiplatform.v1beta1.UpdateFeatureRequest.update_mask:type_name -> google.protobuf.FieldMask
63, // 37: google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
63, // 38: google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
63, // 39: google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
63, // 40: google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
63, // 41: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
63, // 42: google.cloud.aiplatform.v1beta1.DeleteFeatureValuesOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
63, // 43: google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
63, // 44: google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
63, // 45: google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
47, // 46: google.cloud.aiplatform.v1beta1.DeleteFeatureValuesRequest.select_entity:type_name -> google.cloud.aiplatform.v1beta1.DeleteFeatureValuesRequest.SelectEntity
48, // 47: google.cloud.aiplatform.v1beta1.DeleteFeatureValuesRequest.select_time_range_and_feature:type_name -> google.cloud.aiplatform.v1beta1.DeleteFeatureValuesRequest.SelectTimeRangeAndFeature
49, // 48: google.cloud.aiplatform.v1beta1.DeleteFeatureValuesResponse.select_entity:type_name -> google.cloud.aiplatform.v1beta1.DeleteFeatureValuesResponse.SelectEntity
50, // 49: google.cloud.aiplatform.v1beta1.DeleteFeatureValuesResponse.select_time_range_and_feature:type_name -> google.cloud.aiplatform.v1beta1.DeleteFeatureValuesResponse.SelectTimeRangeAndFeature
55, // 50: google.cloud.aiplatform.v1beta1.EntityIdSelector.csv_source:type_name -> google.cloud.aiplatform.v1beta1.CsvSource
57, // 51: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.feature_selector:type_name -> google.cloud.aiplatform.v1beta1.FeatureSelector
10, // 52: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.settings:type_name -> google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
56, // 53: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.snapshot_time:type_name -> google.protobuf.Timestamp
56, // 54: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.start_time:type_name -> google.protobuf.Timestamp
56, // 55: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.start_time:type_name -> google.protobuf.Timestamp
56, // 56: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.end_time:type_name -> google.protobuf.Timestamp
41, // 57: google.cloud.aiplatform.v1beta1.DeleteFeatureValuesRequest.SelectEntity.entity_id_selector:type_name -> google.cloud.aiplatform.v1beta1.EntityIdSelector
64, // 58: google.cloud.aiplatform.v1beta1.DeleteFeatureValuesRequest.SelectTimeRangeAndFeature.time_range:type_name -> google.type.Interval
57, // 59: google.cloud.aiplatform.v1beta1.DeleteFeatureValuesRequest.SelectTimeRangeAndFeature.feature_selector:type_name -> google.cloud.aiplatform.v1beta1.FeatureSelector
0, // 60: google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeaturestore:input_type -> google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
1, // 61: google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeaturestore:input_type -> google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
2, // 62: google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores:input_type -> google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
4, // 63: google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeaturestore:input_type -> google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
5, // 64: google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeaturestore:input_type -> google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
14, // 65: google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateEntityType:input_type -> google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
15, // 66: google.cloud.aiplatform.v1beta1.FeaturestoreService.GetEntityType:input_type -> google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
16, // 67: google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes:input_type -> google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
18, // 68: google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateEntityType:input_type -> google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
19, // 69: google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteEntityType:input_type -> google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
20, // 70: google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeature:input_type -> google.cloud.aiplatform.v1beta1.CreateFeatureRequest
21, // 71: google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures:input_type -> google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
23, // 72: google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeature:input_type -> google.cloud.aiplatform.v1beta1.GetFeatureRequest
24, // 73: google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures:input_type -> google.cloud.aiplatform.v1beta1.ListFeaturesRequest
28, // 74: google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeature:input_type -> google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
29, // 75: google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeature:input_type -> google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
6, // 76: google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues:input_type -> google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
8, // 77: google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues:input_type -> google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
9, // 78: google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues:input_type -> google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
39, // 79: google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues:input_type -> google.cloud.aiplatform.v1beta1.DeleteFeatureValuesRequest
26, // 80: google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures:input_type -> google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
65, // 81: google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeaturestore:output_type -> google.longrunning.Operation
51, // 82: google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeaturestore:output_type -> google.cloud.aiplatform.v1beta1.Featurestore
3, // 83: google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores:output_type -> google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
65, // 84: google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeaturestore:output_type -> google.longrunning.Operation
65, // 85: google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeaturestore:output_type -> google.longrunning.Operation
65, // 86: google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateEntityType:output_type -> google.longrunning.Operation
61, // 87: google.cloud.aiplatform.v1beta1.FeaturestoreService.GetEntityType:output_type -> google.cloud.aiplatform.v1beta1.EntityType
17, // 88: google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes:output_type -> google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
61, // 89: google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateEntityType:output_type -> google.cloud.aiplatform.v1beta1.EntityType
65, // 90: google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteEntityType:output_type -> google.longrunning.Operation
65, // 91: google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeature:output_type -> google.longrunning.Operation
65, // 92: google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures:output_type -> google.longrunning.Operation
62, // 93: google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeature:output_type -> google.cloud.aiplatform.v1beta1.Feature
25, // 94: google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures:output_type -> google.cloud.aiplatform.v1beta1.ListFeaturesResponse
62, // 95: google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeature:output_type -> google.cloud.aiplatform.v1beta1.Feature
65, // 96: google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeature:output_type -> google.longrunning.Operation
65, // 97: google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues:output_type -> google.longrunning.Operation
65, // 98: google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues:output_type -> google.longrunning.Operation
65, // 99: google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues:output_type -> google.longrunning.Operation
65, // 100: google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues:output_type -> google.longrunning.Operation
27, // 101: google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures:output_type -> google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
81, // [81:102] is the sub-list for method output_type
60, // [60:81] is the sub-list for method input_type
60, // [60:60] is the sub-list for extension type_name
60, // [60:60] is the sub-list for extension extendee
0, // [0:60] is the sub-list for field type_name
}
func init() { file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_init() }
func file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_init() {
if File_google_cloud_aiplatform_v1beta1_featurestore_service_proto != nil {
return
}
file_google_cloud_aiplatform_v1beta1_entity_type_proto_init()
file_google_cloud_aiplatform_v1beta1_feature_proto_init()
file_google_cloud_aiplatform_v1beta1_feature_selector_proto_init()
file_google_cloud_aiplatform_v1beta1_featurestore_proto_init()
file_google_cloud_aiplatform_v1beta1_io_proto_init()
file_google_cloud_aiplatform_v1beta1_operation_proto_init()
if !protoimpl.UnsafeEnabled {
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*CreateFeaturestoreRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*GetFeaturestoreRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ListFeaturestoresRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ListFeaturestoresResponse); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*UpdateFeaturestoreRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*DeleteFeaturestoreRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ImportFeatureValuesRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ImportFeatureValuesResponse); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[8].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*BatchReadFeatureValuesRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[9].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ExportFeatureValuesRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*DestinationFeatureSetting); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[11].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*FeatureValueDestination); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[12].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ExportFeatureValuesResponse); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[13].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*BatchReadFeatureValuesResponse); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[14].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*CreateEntityTypeRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[15].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*GetEntityTypeRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[16].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ListEntityTypesRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[17].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ListEntityTypesResponse); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[18].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*UpdateEntityTypeRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[19].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*DeleteEntityTypeRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[20].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*CreateFeatureRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[21].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*BatchCreateFeaturesRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[22].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*BatchCreateFeaturesResponse); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[23].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*GetFeatureRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[24].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ListFeaturesRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[25].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ListFeaturesResponse); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[26].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*SearchFeaturesRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[27].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*SearchFeaturesResponse); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[28].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*UpdateFeatureRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[29].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*DeleteFeatureRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[30].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*CreateFeaturestoreOperationMetadata); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[31].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*UpdateFeaturestoreOperationMetadata); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[32].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ImportFeatureValuesOperationMetadata); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[33].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ExportFeatureValuesOperationMetadata); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[34].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*BatchReadFeatureValuesOperationMetadata); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[35].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*DeleteFeatureValuesOperationMetadata); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[36].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*CreateEntityTypeOperationMetadata); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[37].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*CreateFeatureOperationMetadata); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[38].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*BatchCreateFeaturesOperationMetadata); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[39].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*DeleteFeatureValuesRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[40].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*DeleteFeatureValuesResponse); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[41].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*EntityIdSelector); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[42].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ImportFeatureValuesRequest_FeatureSpec); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[43].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*BatchReadFeatureValuesRequest_PassThroughField); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[44].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*BatchReadFeatureValuesRequest_EntityTypeSpec); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[45].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ExportFeatureValuesRequest_SnapshotExport); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[46].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ExportFeatureValuesRequest_FullExport); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[47].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*DeleteFeatureValuesRequest_SelectEntity); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[48].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[49].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*DeleteFeatureValuesResponse_SelectEntity); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[50].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[6].OneofWrappers = []interface{}{
(*ImportFeatureValuesRequest_AvroSource)(nil),
(*ImportFeatureValuesRequest_BigquerySource)(nil),
(*ImportFeatureValuesRequest_CsvSource)(nil),
(*ImportFeatureValuesRequest_FeatureTimeField)(nil),
(*ImportFeatureValuesRequest_FeatureTime)(nil),
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[8].OneofWrappers = []interface{}{
(*BatchReadFeatureValuesRequest_CsvReadInstances)(nil),
(*BatchReadFeatureValuesRequest_BigqueryReadInstances)(nil),
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[9].OneofWrappers = []interface{}{
(*ExportFeatureValuesRequest_SnapshotExport_)(nil),
(*ExportFeatureValuesRequest_FullExport_)(nil),
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[11].OneofWrappers = []interface{}{
(*FeatureValueDestination_BigqueryDestination)(nil),
(*FeatureValueDestination_TfrecordDestination)(nil),
(*FeatureValueDestination_CsvDestination)(nil),
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[39].OneofWrappers = []interface{}{
(*DeleteFeatureValuesRequest_SelectEntity_)(nil),
(*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature_)(nil),
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[40].OneofWrappers = []interface{}{
(*DeleteFeatureValuesResponse_SelectEntity_)(nil),
(*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature_)(nil),
}
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes[41].OneofWrappers = []interface{}{
(*EntityIdSelector_CsvSource)(nil),
}
type x struct{}
out := protoimpl.TypeBuilder{
File: protoimpl.DescBuilder{
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
RawDescriptor: file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDesc,
NumEnums: 0,
NumMessages: 51,
NumExtensions: 0,
NumServices: 1,
},
GoTypes: file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_goTypes,
DependencyIndexes: file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_depIdxs,
MessageInfos: file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_msgTypes,
}.Build()
File_google_cloud_aiplatform_v1beta1_featurestore_service_proto = out.File
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_rawDesc = nil
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_goTypes = nil
file_google_cloud_aiplatform_v1beta1_featurestore_service_proto_depIdxs = nil
}
// Reference imports to suppress errors if they are not otherwise used.
var _ context.Context
var _ grpc.ClientConnInterface
// This is a compile-time assertion to ensure that this generated file
// is compatible with the grpc package it is being compiled against.
const _ = grpc.SupportPackageIsVersion6
// FeaturestoreServiceClient is the client API for FeaturestoreService service.
//
// For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
type FeaturestoreServiceClient interface {
// Creates a new Featurestore in a given project and location.
CreateFeaturestore(ctx context.Context, in *CreateFeaturestoreRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
// Gets details of a single Featurestore.
GetFeaturestore(ctx context.Context, in *GetFeaturestoreRequest, opts ...grpc.CallOption) (*Featurestore, error)
// Lists Featurestores in a given project and location.
ListFeaturestores(ctx context.Context, in *ListFeaturestoresRequest, opts ...grpc.CallOption) (*ListFeaturestoresResponse, error)
// Updates the parameters of a single Featurestore.
UpdateFeaturestore(ctx context.Context, in *UpdateFeaturestoreRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
// Deletes a single Featurestore. The Featurestore must not contain any
// EntityTypes or `force` must be set to true for the request to succeed.
DeleteFeaturestore(ctx context.Context, in *DeleteFeaturestoreRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
// Creates a new EntityType in a given Featurestore.
CreateEntityType(ctx context.Context, in *CreateEntityTypeRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
// Gets details of a single EntityType.
GetEntityType(ctx context.Context, in *GetEntityTypeRequest, opts ...grpc.CallOption) (*EntityType, error)
// Lists EntityTypes in a given Featurestore.
ListEntityTypes(ctx context.Context, in *ListEntityTypesRequest, opts ...grpc.CallOption) (*ListEntityTypesResponse, error)
// Updates the parameters of a single EntityType.
UpdateEntityType(ctx context.Context, in *UpdateEntityTypeRequest, opts ...grpc.CallOption) (*EntityType, error)
// Deletes a single EntityType. The EntityType must not have any Features
// or `force` must be set to true for the request to succeed.
DeleteEntityType(ctx context.Context, in *DeleteEntityTypeRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
// Creates a new Feature in a given EntityType.
CreateFeature(ctx context.Context, in *CreateFeatureRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
// Creates a batch of Features in a given EntityType.
BatchCreateFeatures(ctx context.Context, in *BatchCreateFeaturesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
// Gets details of a single Feature.
GetFeature(ctx context.Context, in *GetFeatureRequest, opts ...grpc.CallOption) (*Feature, error)
// Lists Features in a given EntityType.
ListFeatures(ctx context.Context, in *ListFeaturesRequest, opts ...grpc.CallOption) (*ListFeaturesResponse, error)
// Updates the parameters of a single Feature.
UpdateFeature(ctx context.Context, in *UpdateFeatureRequest, opts ...grpc.CallOption) (*Feature, error)
// Deletes a single Feature.
DeleteFeature(ctx context.Context, in *DeleteFeatureRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
// Imports Feature values into the Featurestore from a source storage.
//
// The progress of the import is tracked by the returned operation. The
// imported features are guaranteed to be visible to subsequent read
// operations after the operation is marked as successfully done.
//
// If an import operation fails, the Feature values returned from
// reads and exports may be inconsistent. If consistency is
// required, the caller must retry the same import request again and wait till
// the new operation returned is marked as successfully done.
//
// There are also scenarios where the caller can cause inconsistency.
//
// - Source data for import contains multiple distinct Feature values for
// the same entity ID and timestamp.
// - Source is modified during an import. This includes adding, updating, or
// removing source data and/or metadata. Examples of updating metadata
// include but are not limited to changing storage location, storage class,
// or retention policy.
// - Online serving cluster is under-provisioned.
ImportFeatureValues(ctx context.Context, in *ImportFeatureValuesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
// Batch reads Feature values from a Featurestore.
//
// This API enables batch reading Feature values, where each read
// instance in the batch may read Feature values of entities from one or
// more EntityTypes. Point-in-time correctness is guaranteed for Feature
// values of each read instance as of each instance's read timestamp.
BatchReadFeatureValues(ctx context.Context, in *BatchReadFeatureValuesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
// Exports Feature values from all the entities of a target EntityType.
ExportFeatureValues(ctx context.Context, in *ExportFeatureValuesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
// Delete Feature values from Featurestore.
//
// The progress of the deletion is tracked by the returned operation. The
// deleted feature values are guaranteed to be invisible to subsequent read
// operations after the operation is marked as successfully done.
//
// If a delete feature values operation fails, the feature values
// returned from reads and exports may be inconsistent. If consistency is
// required, the caller must retry the same delete request again and wait till
// the new operation returned is marked as successfully done.
DeleteFeatureValues(ctx context.Context, in *DeleteFeatureValuesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
// Searches Features matching a query in a given project.
SearchFeatures(ctx context.Context, in *SearchFeaturesRequest, opts ...grpc.CallOption) (*SearchFeaturesResponse, error)
}
type featurestoreServiceClient struct {
cc grpc.ClientConnInterface
}
func NewFeaturestoreServiceClient(cc grpc.ClientConnInterface) FeaturestoreServiceClient {
return &featurestoreServiceClient{cc}
}
func (c *featurestoreServiceClient) CreateFeaturestore(ctx context.Context, in *CreateFeaturestoreRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
out := new(longrunningpb.Operation)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/CreateFeaturestore", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) GetFeaturestore(ctx context.Context, in *GetFeaturestoreRequest, opts ...grpc.CallOption) (*Featurestore, error) {
out := new(Featurestore)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/GetFeaturestore", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) ListFeaturestores(ctx context.Context, in *ListFeaturestoresRequest, opts ...grpc.CallOption) (*ListFeaturestoresResponse, error) {
out := new(ListFeaturestoresResponse)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/ListFeaturestores", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) UpdateFeaturestore(ctx context.Context, in *UpdateFeaturestoreRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
out := new(longrunningpb.Operation)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/UpdateFeaturestore", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) DeleteFeaturestore(ctx context.Context, in *DeleteFeaturestoreRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
out := new(longrunningpb.Operation)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/DeleteFeaturestore", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) CreateEntityType(ctx context.Context, in *CreateEntityTypeRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
out := new(longrunningpb.Operation)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/CreateEntityType", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) GetEntityType(ctx context.Context, in *GetEntityTypeRequest, opts ...grpc.CallOption) (*EntityType, error) {
out := new(EntityType)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/GetEntityType", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) ListEntityTypes(ctx context.Context, in *ListEntityTypesRequest, opts ...grpc.CallOption) (*ListEntityTypesResponse, error) {
out := new(ListEntityTypesResponse)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/ListEntityTypes", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) UpdateEntityType(ctx context.Context, in *UpdateEntityTypeRequest, opts ...grpc.CallOption) (*EntityType, error) {
out := new(EntityType)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/UpdateEntityType", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) DeleteEntityType(ctx context.Context, in *DeleteEntityTypeRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
out := new(longrunningpb.Operation)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/DeleteEntityType", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) CreateFeature(ctx context.Context, in *CreateFeatureRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
out := new(longrunningpb.Operation)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/CreateFeature", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) BatchCreateFeatures(ctx context.Context, in *BatchCreateFeaturesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
out := new(longrunningpb.Operation)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/BatchCreateFeatures", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) GetFeature(ctx context.Context, in *GetFeatureRequest, opts ...grpc.CallOption) (*Feature, error) {
out := new(Feature)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/GetFeature", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) ListFeatures(ctx context.Context, in *ListFeaturesRequest, opts ...grpc.CallOption) (*ListFeaturesResponse, error) {
out := new(ListFeaturesResponse)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/ListFeatures", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) UpdateFeature(ctx context.Context, in *UpdateFeatureRequest, opts ...grpc.CallOption) (*Feature, error) {
out := new(Feature)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/UpdateFeature", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) DeleteFeature(ctx context.Context, in *DeleteFeatureRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
out := new(longrunningpb.Operation)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/DeleteFeature", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) ImportFeatureValues(ctx context.Context, in *ImportFeatureValuesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
out := new(longrunningpb.Operation)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/ImportFeatureValues", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) BatchReadFeatureValues(ctx context.Context, in *BatchReadFeatureValuesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
out := new(longrunningpb.Operation)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/BatchReadFeatureValues", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) ExportFeatureValues(ctx context.Context, in *ExportFeatureValuesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
out := new(longrunningpb.Operation)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/ExportFeatureValues", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) DeleteFeatureValues(ctx context.Context, in *DeleteFeatureValuesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
out := new(longrunningpb.Operation)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/DeleteFeatureValues", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreServiceClient) SearchFeatures(ctx context.Context, in *SearchFeaturesRequest, opts ...grpc.CallOption) (*SearchFeaturesResponse, error) {
out := new(SearchFeaturesResponse)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.FeaturestoreService/SearchFeatures", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
// FeaturestoreServiceServer is the server API for FeaturestoreService service.
type FeaturestoreServiceServer interface {
// Creates a new Featurestore in a given project and location.
CreateFeaturestore(context.Context, *CreateFeaturestoreRequest) (*longrunningpb.Operation, error)
// Gets details of a single Featurestore.
GetFeaturestore(context.Context, *GetFeaturestoreRequest) (*Featurestore, error)
// Lists Featurestores in a given project and location.
ListFeaturestores(context.Context, *ListFeaturestoresRequest) (*ListFeaturestoresResponse, error)
// Updates the parameters of a single Featurestore.
UpdateFeaturestore(context.Context, *UpdateFeaturestoreRequest) (*longrunningpb.Operation, error)
// Deletes a single Featurestore. The Featurestore must not contain any
// EntityTypes or `force` must be set to true for the request to succeed.
DeleteFeaturestore(context.Context, *DeleteFeaturestoreRequest) (*longrunningpb.Operation, error)
// Creates a new EntityType in a given Featurestore.
CreateEntityType(context.Context, *CreateEntityTypeRequest) (*longrunningpb.Operation, error)
// Gets details of a single EntityType.
GetEntityType(context.Context, *GetEntityTypeRequest) (*EntityType, error)
// Lists EntityTypes in a given Featurestore.
ListEntityTypes(context.Context, *ListEntityTypesRequest) (*ListEntityTypesResponse, error)
// Updates the parameters of a single EntityType.
UpdateEntityType(context.Context, *UpdateEntityTypeRequest) (*EntityType, error)
// Deletes a single EntityType. The EntityType must not have any Features
// or `force` must be set to true for the request to succeed.
DeleteEntityType(context.Context, *DeleteEntityTypeRequest) (*longrunningpb.Operation, error)
// Creates a new Feature in a given EntityType.
CreateFeature(context.Context, *CreateFeatureRequest) (*longrunningpb.Operation, error)
// Creates a batch of Features in a given EntityType.
BatchCreateFeatures(context.Context, *BatchCreateFeaturesRequest) (*longrunningpb.Operation, error)
// Gets details of a single Feature.
GetFeature(context.Context, *GetFeatureRequest) (*Feature, error)
// Lists Features in a given EntityType.
ListFeatures(context.Context, *ListFeaturesRequest) (*ListFeaturesResponse, error)
// Updates the parameters of a single Feature.
UpdateFeature(context.Context, *UpdateFeatureRequest) (*Feature, error)
// Deletes a single Feature.
DeleteFeature(context.Context, *DeleteFeatureRequest) (*longrunningpb.Operation, error)
// Imports Feature values into the Featurestore from a source storage.
//
// The progress of the import is tracked by the returned operation. The
// imported features are guaranteed to be visible to subsequent read
// operations after the operation is marked as successfully done.
//
// If an import operation fails, the Feature values returned from
// reads and exports may be inconsistent. If consistency is
// required, the caller must retry the same import request again and wait till
// the new operation returned is marked as successfully done.
//
// There are also scenarios where the caller can cause inconsistency.
//
// - Source data for import contains multiple distinct Feature values for
// the same entity ID and timestamp.
// - Source is modified during an import. This includes adding, updating, or
// removing source data and/or metadata. Examples of updating metadata
// include but are not limited to changing storage location, storage class,
// or retention policy.
// - Online serving cluster is under-provisioned.
ImportFeatureValues(context.Context, *ImportFeatureValuesRequest) (*longrunningpb.Operation, error)
// Batch reads Feature values from a Featurestore.
//
// This API enables batch reading Feature values, where each read
// instance in the batch may read Feature values of entities from one or
// more EntityTypes. Point-in-time correctness is guaranteed for Feature
// values of each read instance as of each instance's read timestamp.
BatchReadFeatureValues(context.Context, *BatchReadFeatureValuesRequest) (*longrunningpb.Operation, error)
// Exports Feature values from all the entities of a target EntityType.
ExportFeatureValues(context.Context, *ExportFeatureValuesRequest) (*longrunningpb.Operation, error)
// Delete Feature values from Featurestore.
//
// The progress of the deletion is tracked by the returned operation. The
// deleted feature values are guaranteed to be invisible to subsequent read
// operations after the operation is marked as successfully done.
//
// If a delete feature values operation fails, the feature values
// returned from reads and exports may be inconsistent. If consistency is
// required, the caller must retry the same delete request again and wait till
// the new operation returned is marked as successfully done.
DeleteFeatureValues(context.Context, *DeleteFeatureValuesRequest) (*longrunningpb.Operation, error)
// Searches Features matching a query in a given project.
SearchFeatures(context.Context, *SearchFeaturesRequest) (*SearchFeaturesResponse, error)
}
// UnimplementedFeaturestoreServiceServer can be embedded to have forward compatible implementations.
type UnimplementedFeaturestoreServiceServer struct {
}
func (*UnimplementedFeaturestoreServiceServer) CreateFeaturestore(context.Context, *CreateFeaturestoreRequest) (*longrunningpb.Operation, error) {
return nil, status.Errorf(codes.Unimplemented, "method CreateFeaturestore not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) GetFeaturestore(context.Context, *GetFeaturestoreRequest) (*Featurestore, error) {
return nil, status.Errorf(codes.Unimplemented, "method GetFeaturestore not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) ListFeaturestores(context.Context, *ListFeaturestoresRequest) (*ListFeaturestoresResponse, error) {
return nil, status.Errorf(codes.Unimplemented, "method ListFeaturestores not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) UpdateFeaturestore(context.Context, *UpdateFeaturestoreRequest) (*longrunningpb.Operation, error) {
return nil, status.Errorf(codes.Unimplemented, "method UpdateFeaturestore not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) DeleteFeaturestore(context.Context, *DeleteFeaturestoreRequest) (*longrunningpb.Operation, error) {
return nil, status.Errorf(codes.Unimplemented, "method DeleteFeaturestore not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) CreateEntityType(context.Context, *CreateEntityTypeRequest) (*longrunningpb.Operation, error) {
return nil, status.Errorf(codes.Unimplemented, "method CreateEntityType not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) GetEntityType(context.Context, *GetEntityTypeRequest) (*EntityType, error) {
return nil, status.Errorf(codes.Unimplemented, "method GetEntityType not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) ListEntityTypes(context.Context, *ListEntityTypesRequest) (*ListEntityTypesResponse, error) {
return nil, status.Errorf(codes.Unimplemented, "method ListEntityTypes not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) UpdateEntityType(context.Context, *UpdateEntityTypeRequest) (*EntityType, error) {
return nil, status.Errorf(codes.Unimplemented, "method UpdateEntityType not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) DeleteEntityType(context.Context, *DeleteEntityTypeRequest) (*longrunningpb.Operation, error) {
return nil, status.Errorf(codes.Unimplemented, "method DeleteEntityType not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) CreateFeature(context.Context, *CreateFeatureRequest) (*longrunningpb.Operation, error) {
return nil, status.Errorf(codes.Unimplemented, "method CreateFeature not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) BatchCreateFeatures(context.Context, *BatchCreateFeaturesRequest) (*longrunningpb.Operation, error) {
return nil, status.Errorf(codes.Unimplemented, "method BatchCreateFeatures not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) GetFeature(context.Context, *GetFeatureRequest) (*Feature, error) {
return nil, status.Errorf(codes.Unimplemented, "method GetFeature not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) ListFeatures(context.Context, *ListFeaturesRequest) (*ListFeaturesResponse, error) {
return nil, status.Errorf(codes.Unimplemented, "method ListFeatures not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) UpdateFeature(context.Context, *UpdateFeatureRequest) (*Feature, error) {
return nil, status.Errorf(codes.Unimplemented, "method UpdateFeature not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) DeleteFeature(context.Context, *DeleteFeatureRequest) (*longrunningpb.Operation, error) {
return nil, status.Errorf(codes.Unimplemented, "method DeleteFeature not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) ImportFeatureValues(context.Context, *ImportFeatureValuesRequest) (*longrunningpb.Operation, error) {
return nil, status.Errorf(codes.Unimplemented, "method ImportFeatureValues not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) BatchReadFeatureValues(context.Context, *BatchReadFeatureValuesRequest) (*longrunningpb.Operation, error) {
return nil, status.Errorf(codes.Unimplemented, "method BatchReadFeatureValues not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) ExportFeatureValues(context.Context, *ExportFeatureValuesRequest) (*longrunningpb.Operation, error) {
return nil, status.Errorf(codes.Unimplemented, "method ExportFeatureValues not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) DeleteFeatureValues(context.Context, *DeleteFeatureValuesRequest) (*longrunningpb.Operation, error) {
return nil, status.Errorf(codes.Unimplemented, "method DeleteFeatureValues not implemented")
}
func (*UnimplementedFeaturestoreServiceServer) SearchFeatures(context.Context, *SearchFeaturesRequest) (*SearchFeaturesResponse, error) {
return nil, status.Errorf(codes.Unimplemented, "method SearchFeatures not implemented")
}
func RegisterFeaturestoreServiceServer(s *grpc.Server, srv FeaturestoreServiceServer) {
s.RegisterService(&_FeaturestoreService_serviceDesc, srv)
}
func _FeaturestoreService_CreateFeaturestore_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(CreateFeaturestoreRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).CreateFeaturestore(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/CreateFeaturestore",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).CreateFeaturestore(ctx, req.(*CreateFeaturestoreRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_GetFeaturestore_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(GetFeaturestoreRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).GetFeaturestore(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/GetFeaturestore",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).GetFeaturestore(ctx, req.(*GetFeaturestoreRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_ListFeaturestores_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(ListFeaturestoresRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).ListFeaturestores(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/ListFeaturestores",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).ListFeaturestores(ctx, req.(*ListFeaturestoresRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_UpdateFeaturestore_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(UpdateFeaturestoreRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).UpdateFeaturestore(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/UpdateFeaturestore",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).UpdateFeaturestore(ctx, req.(*UpdateFeaturestoreRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_DeleteFeaturestore_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(DeleteFeaturestoreRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).DeleteFeaturestore(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/DeleteFeaturestore",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).DeleteFeaturestore(ctx, req.(*DeleteFeaturestoreRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_CreateEntityType_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(CreateEntityTypeRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).CreateEntityType(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/CreateEntityType",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).CreateEntityType(ctx, req.(*CreateEntityTypeRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_GetEntityType_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(GetEntityTypeRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).GetEntityType(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/GetEntityType",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).GetEntityType(ctx, req.(*GetEntityTypeRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_ListEntityTypes_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(ListEntityTypesRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).ListEntityTypes(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/ListEntityTypes",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).ListEntityTypes(ctx, req.(*ListEntityTypesRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_UpdateEntityType_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(UpdateEntityTypeRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).UpdateEntityType(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/UpdateEntityType",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).UpdateEntityType(ctx, req.(*UpdateEntityTypeRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_DeleteEntityType_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(DeleteEntityTypeRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).DeleteEntityType(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/DeleteEntityType",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).DeleteEntityType(ctx, req.(*DeleteEntityTypeRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_CreateFeature_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(CreateFeatureRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).CreateFeature(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/CreateFeature",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).CreateFeature(ctx, req.(*CreateFeatureRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_BatchCreateFeatures_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(BatchCreateFeaturesRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).BatchCreateFeatures(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/BatchCreateFeatures",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).BatchCreateFeatures(ctx, req.(*BatchCreateFeaturesRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_GetFeature_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(GetFeatureRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).GetFeature(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/GetFeature",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).GetFeature(ctx, req.(*GetFeatureRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_ListFeatures_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(ListFeaturesRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).ListFeatures(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/ListFeatures",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).ListFeatures(ctx, req.(*ListFeaturesRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_UpdateFeature_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(UpdateFeatureRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).UpdateFeature(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/UpdateFeature",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).UpdateFeature(ctx, req.(*UpdateFeatureRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_DeleteFeature_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(DeleteFeatureRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).DeleteFeature(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/DeleteFeature",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).DeleteFeature(ctx, req.(*DeleteFeatureRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_ImportFeatureValues_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(ImportFeatureValuesRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).ImportFeatureValues(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/ImportFeatureValues",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).ImportFeatureValues(ctx, req.(*ImportFeatureValuesRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_BatchReadFeatureValues_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(BatchReadFeatureValuesRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).BatchReadFeatureValues(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/BatchReadFeatureValues",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).BatchReadFeatureValues(ctx, req.(*BatchReadFeatureValuesRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_ExportFeatureValues_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(ExportFeatureValuesRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).ExportFeatureValues(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/ExportFeatureValues",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).ExportFeatureValues(ctx, req.(*ExportFeatureValuesRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_DeleteFeatureValues_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(DeleteFeatureValuesRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).DeleteFeatureValues(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/DeleteFeatureValues",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).DeleteFeatureValues(ctx, req.(*DeleteFeatureValuesRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreService_SearchFeatures_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(SearchFeaturesRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreServiceServer).SearchFeatures(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.FeaturestoreService/SearchFeatures",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreServiceServer).SearchFeatures(ctx, req.(*SearchFeaturesRequest))
}
return interceptor(ctx, in, info, handler)
}
var _FeaturestoreService_serviceDesc = grpc.ServiceDesc{
ServiceName: "google.cloud.aiplatform.v1beta1.FeaturestoreService",
HandlerType: (*FeaturestoreServiceServer)(nil),
Methods: []grpc.MethodDesc{
{
MethodName: "CreateFeaturestore",
Handler: _FeaturestoreService_CreateFeaturestore_Handler,
},
{
MethodName: "GetFeaturestore",
Handler: _FeaturestoreService_GetFeaturestore_Handler,
},
{
MethodName: "ListFeaturestores",
Handler: _FeaturestoreService_ListFeaturestores_Handler,
},
{
MethodName: "UpdateFeaturestore",
Handler: _FeaturestoreService_UpdateFeaturestore_Handler,
},
{
MethodName: "DeleteFeaturestore",
Handler: _FeaturestoreService_DeleteFeaturestore_Handler,
},
{
MethodName: "CreateEntityType",
Handler: _FeaturestoreService_CreateEntityType_Handler,
},
{
MethodName: "GetEntityType",
Handler: _FeaturestoreService_GetEntityType_Handler,
},
{
MethodName: "ListEntityTypes",
Handler: _FeaturestoreService_ListEntityTypes_Handler,
},
{
MethodName: "UpdateEntityType",
Handler: _FeaturestoreService_UpdateEntityType_Handler,
},
{
MethodName: "DeleteEntityType",
Handler: _FeaturestoreService_DeleteEntityType_Handler,
},
{
MethodName: "CreateFeature",
Handler: _FeaturestoreService_CreateFeature_Handler,
},
{
MethodName: "BatchCreateFeatures",
Handler: _FeaturestoreService_BatchCreateFeatures_Handler,
},
{
MethodName: "GetFeature",
Handler: _FeaturestoreService_GetFeature_Handler,
},
{
MethodName: "ListFeatures",
Handler: _FeaturestoreService_ListFeatures_Handler,
},
{
MethodName: "UpdateFeature",
Handler: _FeaturestoreService_UpdateFeature_Handler,
},
{
MethodName: "DeleteFeature",
Handler: _FeaturestoreService_DeleteFeature_Handler,
},
{
MethodName: "ImportFeatureValues",
Handler: _FeaturestoreService_ImportFeatureValues_Handler,
},
{
MethodName: "BatchReadFeatureValues",
Handler: _FeaturestoreService_BatchReadFeatureValues_Handler,
},
{
MethodName: "ExportFeatureValues",
Handler: _FeaturestoreService_ExportFeatureValues_Handler,
},
{
MethodName: "DeleteFeatureValues",
Handler: _FeaturestoreService_DeleteFeatureValues_Handler,
},
{
MethodName: "SearchFeatures",
Handler: _FeaturestoreService_SearchFeatures_Handler,
},
},
Streams: []grpc.StreamDesc{},
Metadata: "google/cloud/aiplatform/v1beta1/featurestore_service.proto",
}