// Copyright 2023 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 v1.31.0
// 	protoc        v4.23.2
// source: google/cloud/aiplatform/v1beta1/feature_view.proto

package aiplatformpb

import (
	reflect "reflect"
	sync "sync"

	_ "google.golang.org/genproto/googleapis/api/annotations"
	protoreflect "google.golang.org/protobuf/reflect/protoreflect"
	protoimpl "google.golang.org/protobuf/runtime/protoimpl"
	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)
)

type FeatureView_VectorSearchConfig_DistanceMeasureType int32

const (
	// Should not be set.
	FeatureView_VectorSearchConfig_DISTANCE_MEASURE_TYPE_UNSPECIFIED FeatureView_VectorSearchConfig_DistanceMeasureType = 0
	// Euclidean (L_2) Distance.
	FeatureView_VectorSearchConfig_SQUARED_L2_DISTANCE FeatureView_VectorSearchConfig_DistanceMeasureType = 1
	// Cosine Distance. Defined as 1 - cosine similarity.
	//
	// We strongly suggest using DOT_PRODUCT_DISTANCE + UNIT_L2_NORM instead
	// of COSINE distance. Our algorithms have been more optimized for
	// DOT_PRODUCT distance which, when combined with UNIT_L2_NORM, is
	// mathematically equivalent to COSINE distance and results in the same
	// ranking.
	FeatureView_VectorSearchConfig_COSINE_DISTANCE FeatureView_VectorSearchConfig_DistanceMeasureType = 2
	// Dot Product Distance. Defined as a negative of the dot product.
	FeatureView_VectorSearchConfig_DOT_PRODUCT_DISTANCE FeatureView_VectorSearchConfig_DistanceMeasureType = 3
)

// Enum value maps for FeatureView_VectorSearchConfig_DistanceMeasureType.
var (
	FeatureView_VectorSearchConfig_DistanceMeasureType_name = map[int32]string{
		0: "DISTANCE_MEASURE_TYPE_UNSPECIFIED",
		1: "SQUARED_L2_DISTANCE",
		2: "COSINE_DISTANCE",
		3: "DOT_PRODUCT_DISTANCE",
	}
	FeatureView_VectorSearchConfig_DistanceMeasureType_value = map[string]int32{
		"DISTANCE_MEASURE_TYPE_UNSPECIFIED": 0,
		"SQUARED_L2_DISTANCE":               1,
		"COSINE_DISTANCE":                   2,
		"DOT_PRODUCT_DISTANCE":              3,
	}
)

func (x FeatureView_VectorSearchConfig_DistanceMeasureType) Enum() *FeatureView_VectorSearchConfig_DistanceMeasureType {
	p := new(FeatureView_VectorSearchConfig_DistanceMeasureType)
	*p = x
	return p
}

func (x FeatureView_VectorSearchConfig_DistanceMeasureType) String() string {
	return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
}

func (FeatureView_VectorSearchConfig_DistanceMeasureType) Descriptor() protoreflect.EnumDescriptor {
	return file_google_cloud_aiplatform_v1beta1_feature_view_proto_enumTypes[0].Descriptor()
}

func (FeatureView_VectorSearchConfig_DistanceMeasureType) Type() protoreflect.EnumType {
	return &file_google_cloud_aiplatform_v1beta1_feature_view_proto_enumTypes[0]
}

func (x FeatureView_VectorSearchConfig_DistanceMeasureType) Number() protoreflect.EnumNumber {
	return protoreflect.EnumNumber(x)
}

// Deprecated: Use FeatureView_VectorSearchConfig_DistanceMeasureType.Descriptor instead.
func (FeatureView_VectorSearchConfig_DistanceMeasureType) EnumDescriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_feature_view_proto_rawDescGZIP(), []int{0, 2, 0}
}

// FeatureView is representation of values that the FeatureOnlineStore will
// serve based on its syncConfig.
type FeatureView struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Types that are assignable to Source:
	//	*FeatureView_BigQuerySource_
	//	*FeatureView_FeatureRegistrySource_
	Source isFeatureView_Source `protobuf_oneof:"source"`
	// Output only. Name of the FeatureView. Format:
	// `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. Timestamp when this FeatureView was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this FeatureView was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. Used to perform consistent read-modify-write updates. If not set,
	// a blind "overwrite" update happens.
	Etag string `protobuf:"bytes,4,opt,name=etag,proto3" json:"etag,omitempty"`
	// Optional. The labels with user-defined metadata to organize your
	// FeatureViews.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information on and examples of labels.
	// No more than 64 user labels can be associated with one
	// FeatureOnlineStore(System labels are excluded)." System reserved label keys
	// are prefixed with "aiplatform.googleapis.com/" and are immutable.
	Labels map[string]string `protobuf:"bytes,5,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Configures when data is to be synced/updated for this FeatureView. At the
	// end of the sync the latest featureValues for each entityId of this
	// FeatureView are made ready for online serving.
	SyncConfig *FeatureView_SyncConfig `protobuf:"bytes,7,opt,name=sync_config,json=syncConfig,proto3" json:"sync_config,omitempty"`
	// Optional. Configuration for vector search. It contains the required
	// configurations to create an index from source data, so that approximate
	// nearest neighbor (a.k.a ANN) algorithms search can be performed during
	// online serving.
	VectorSearchConfig *FeatureView_VectorSearchConfig `protobuf:"bytes,8,opt,name=vector_search_config,json=vectorSearchConfig,proto3" json:"vector_search_config,omitempty"`
}

func (x *FeatureView) Reset() {
	*x = FeatureView{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes[0]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *FeatureView) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*FeatureView) ProtoMessage() {}

func (x *FeatureView) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_feature_view_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 FeatureView.ProtoReflect.Descriptor instead.
func (*FeatureView) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_feature_view_proto_rawDescGZIP(), []int{0}
}

func (m *FeatureView) GetSource() isFeatureView_Source {
	if m != nil {
		return m.Source
	}
	return nil
}

func (x *FeatureView) GetBigQuerySource() *FeatureView_BigQuerySource {
	if x, ok := x.GetSource().(*FeatureView_BigQuerySource_); ok {
		return x.BigQuerySource
	}
	return nil
}

func (x *FeatureView) GetFeatureRegistrySource() *FeatureView_FeatureRegistrySource {
	if x, ok := x.GetSource().(*FeatureView_FeatureRegistrySource_); ok {
		return x.FeatureRegistrySource
	}
	return nil
}

func (x *FeatureView) GetName() string {
	if x != nil {
		return x.Name
	}
	return ""
}

func (x *FeatureView) GetCreateTime() *timestamppb.Timestamp {
	if x != nil {
		return x.CreateTime
	}
	return nil
}

func (x *FeatureView) GetUpdateTime() *timestamppb.Timestamp {
	if x != nil {
		return x.UpdateTime
	}
	return nil
}

func (x *FeatureView) GetEtag() string {
	if x != nil {
		return x.Etag
	}
	return ""
}

func (x *FeatureView) GetLabels() map[string]string {
	if x != nil {
		return x.Labels
	}
	return nil
}

func (x *FeatureView) GetSyncConfig() *FeatureView_SyncConfig {
	if x != nil {
		return x.SyncConfig
	}
	return nil
}

func (x *FeatureView) GetVectorSearchConfig() *FeatureView_VectorSearchConfig {
	if x != nil {
		return x.VectorSearchConfig
	}
	return nil
}

type isFeatureView_Source interface {
	isFeatureView_Source()
}

type FeatureView_BigQuerySource_ struct {
	// Optional. Configures how data is supposed to be extracted from a BigQuery
	// source to be loaded onto the FeatureOnlineStore.
	BigQuerySource *FeatureView_BigQuerySource `protobuf:"bytes,6,opt,name=big_query_source,json=bigQuerySource,proto3,oneof"`
}

type FeatureView_FeatureRegistrySource_ struct {
	// Optional. Configures the features from a Feature Registry source that
	// need to be loaded onto the FeatureOnlineStore.
	FeatureRegistrySource *FeatureView_FeatureRegistrySource `protobuf:"bytes,9,opt,name=feature_registry_source,json=featureRegistrySource,proto3,oneof"`
}

func (*FeatureView_BigQuerySource_) isFeatureView_Source() {}

func (*FeatureView_FeatureRegistrySource_) isFeatureView_Source() {}

type FeatureView_BigQuerySource struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The BigQuery view URI that will be materialized on each sync
	// trigger based on FeatureView.SyncConfig.
	Uri string `protobuf:"bytes,1,opt,name=uri,proto3" json:"uri,omitempty"`
	// Required. Columns to construct entity_id / row keys. Start by supporting
	// 1 only.
	EntityIdColumns []string `protobuf:"bytes,2,rep,name=entity_id_columns,json=entityIdColumns,proto3" json:"entity_id_columns,omitempty"`
}

func (x *FeatureView_BigQuerySource) Reset() {
	*x = FeatureView_BigQuerySource{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes[1]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *FeatureView_BigQuerySource) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*FeatureView_BigQuerySource) ProtoMessage() {}

func (x *FeatureView_BigQuerySource) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_feature_view_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 FeatureView_BigQuerySource.ProtoReflect.Descriptor instead.
func (*FeatureView_BigQuerySource) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_feature_view_proto_rawDescGZIP(), []int{0, 0}
}

func (x *FeatureView_BigQuerySource) GetUri() string {
	if x != nil {
		return x.Uri
	}
	return ""
}

func (x *FeatureView_BigQuerySource) GetEntityIdColumns() []string {
	if x != nil {
		return x.EntityIdColumns
	}
	return nil
}

type FeatureView_SyncConfig struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled
	// runs. To explicitly set a timezone to the cron tab, apply a prefix in
	// the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}".
	// The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone
	// database. For example, "CRON_TZ=America/New_York 1 * * * *", or
	// "TZ=America/New_York 1 * * * *".
	Cron string `protobuf:"bytes,1,opt,name=cron,proto3" json:"cron,omitempty"`
}

func (x *FeatureView_SyncConfig) Reset() {
	*x = FeatureView_SyncConfig{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes[2]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *FeatureView_SyncConfig) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*FeatureView_SyncConfig) ProtoMessage() {}

func (x *FeatureView_SyncConfig) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_feature_view_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 FeatureView_SyncConfig.ProtoReflect.Descriptor instead.
func (*FeatureView_SyncConfig) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_feature_view_proto_rawDescGZIP(), []int{0, 1}
}

func (x *FeatureView_SyncConfig) GetCron() string {
	if x != nil {
		return x.Cron
	}
	return ""
}

// Configuration for vector search.
type FeatureView_VectorSearchConfig struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The configuration with regard to the algorithms used for efficient
	// search.
	//
	// Types that are assignable to AlgorithmConfig:
	//	*FeatureView_VectorSearchConfig_TreeAhConfig
	//	*FeatureView_VectorSearchConfig_BruteForceConfig_
	AlgorithmConfig isFeatureView_VectorSearchConfig_AlgorithmConfig `protobuf_oneof:"algorithm_config"`
	// Optional. Column of embedding. This column contains the source data to
	// create index for vector search. embedding_column must be set when using
	// vector search.
	EmbeddingColumn string `protobuf:"bytes,3,opt,name=embedding_column,json=embeddingColumn,proto3" json:"embedding_column,omitempty"`
	// Optional. Columns of features that're used to filter vector search
	// results.
	FilterColumns []string `protobuf:"bytes,4,rep,name=filter_columns,json=filterColumns,proto3" json:"filter_columns,omitempty"`
	// Optional. Column of crowding. This column contains crowding attribute
	// which is a constraint on a neighbor list produced by nearest neighbor
	// search requiring that no more than some value k' of the k neighbors
	// returned have the same value of crowding_attribute.
	CrowdingColumn string `protobuf:"bytes,5,opt,name=crowding_column,json=crowdingColumn,proto3" json:"crowding_column,omitempty"`
	// Optional. The number of dimensions of the input embedding.
	EmbeddingDimension *int32 `protobuf:"varint,6,opt,name=embedding_dimension,json=embeddingDimension,proto3,oneof" json:"embedding_dimension,omitempty"`
	// Optional. The distance measure used in nearest neighbor search.
	DistanceMeasureType FeatureView_VectorSearchConfig_DistanceMeasureType `protobuf:"varint,7,opt,name=distance_measure_type,json=distanceMeasureType,proto3,enum=google.cloud.aiplatform.v1beta1.FeatureView_VectorSearchConfig_DistanceMeasureType" json:"distance_measure_type,omitempty"`
}

func (x *FeatureView_VectorSearchConfig) Reset() {
	*x = FeatureView_VectorSearchConfig{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes[3]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *FeatureView_VectorSearchConfig) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*FeatureView_VectorSearchConfig) ProtoMessage() {}

func (x *FeatureView_VectorSearchConfig) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_feature_view_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 FeatureView_VectorSearchConfig.ProtoReflect.Descriptor instead.
func (*FeatureView_VectorSearchConfig) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_feature_view_proto_rawDescGZIP(), []int{0, 2}
}

func (m *FeatureView_VectorSearchConfig) GetAlgorithmConfig() isFeatureView_VectorSearchConfig_AlgorithmConfig {
	if m != nil {
		return m.AlgorithmConfig
	}
	return nil
}

func (x *FeatureView_VectorSearchConfig) GetTreeAhConfig() *FeatureView_VectorSearchConfig_TreeAHConfig {
	if x, ok := x.GetAlgorithmConfig().(*FeatureView_VectorSearchConfig_TreeAhConfig); ok {
		return x.TreeAhConfig
	}
	return nil
}

func (x *FeatureView_VectorSearchConfig) GetBruteForceConfig() *FeatureView_VectorSearchConfig_BruteForceConfig {
	if x, ok := x.GetAlgorithmConfig().(*FeatureView_VectorSearchConfig_BruteForceConfig_); ok {
		return x.BruteForceConfig
	}
	return nil
}

func (x *FeatureView_VectorSearchConfig) GetEmbeddingColumn() string {
	if x != nil {
		return x.EmbeddingColumn
	}
	return ""
}

func (x *FeatureView_VectorSearchConfig) GetFilterColumns() []string {
	if x != nil {
		return x.FilterColumns
	}
	return nil
}

func (x *FeatureView_VectorSearchConfig) GetCrowdingColumn() string {
	if x != nil {
		return x.CrowdingColumn
	}
	return ""
}

func (x *FeatureView_VectorSearchConfig) GetEmbeddingDimension() int32 {
	if x != nil && x.EmbeddingDimension != nil {
		return *x.EmbeddingDimension
	}
	return 0
}

func (x *FeatureView_VectorSearchConfig) GetDistanceMeasureType() FeatureView_VectorSearchConfig_DistanceMeasureType {
	if x != nil {
		return x.DistanceMeasureType
	}
	return FeatureView_VectorSearchConfig_DISTANCE_MEASURE_TYPE_UNSPECIFIED
}

type isFeatureView_VectorSearchConfig_AlgorithmConfig interface {
	isFeatureView_VectorSearchConfig_AlgorithmConfig()
}

type FeatureView_VectorSearchConfig_TreeAhConfig struct {
	// Optional. Configuration options for the tree-AH algorithm (Shallow tree
	// + Asymmetric Hashing). Please refer to this paper for more details:
	// https://arxiv.org/abs/1908.10396
	TreeAhConfig *FeatureView_VectorSearchConfig_TreeAHConfig `protobuf:"bytes,8,opt,name=tree_ah_config,json=treeAhConfig,proto3,oneof"`
}

type FeatureView_VectorSearchConfig_BruteForceConfig_ struct {
	// Optional. Configuration options for using brute force search, which
	// simply implements the standard linear search in the database for each
	// query. It is primarily meant for benchmarking and to generate the
	// ground truth for approximate search.
	BruteForceConfig *FeatureView_VectorSearchConfig_BruteForceConfig `protobuf:"bytes,9,opt,name=brute_force_config,json=bruteForceConfig,proto3,oneof"`
}

func (*FeatureView_VectorSearchConfig_TreeAhConfig) isFeatureView_VectorSearchConfig_AlgorithmConfig() {
}

func (*FeatureView_VectorSearchConfig_BruteForceConfig_) isFeatureView_VectorSearchConfig_AlgorithmConfig() {
}

// A Feature Registry source for features that need to be synced to Online
// Store.
type FeatureView_FeatureRegistrySource struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. List of features that need to be synced to Online Store.
	FeatureGroups []*FeatureView_FeatureRegistrySource_FeatureGroup `protobuf:"bytes,1,rep,name=feature_groups,json=featureGroups,proto3" json:"feature_groups,omitempty"`
}

func (x *FeatureView_FeatureRegistrySource) Reset() {
	*x = FeatureView_FeatureRegistrySource{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes[4]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *FeatureView_FeatureRegistrySource) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*FeatureView_FeatureRegistrySource) ProtoMessage() {}

func (x *FeatureView_FeatureRegistrySource) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_feature_view_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 FeatureView_FeatureRegistrySource.ProtoReflect.Descriptor instead.
func (*FeatureView_FeatureRegistrySource) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_feature_view_proto_rawDescGZIP(), []int{0, 3}
}

func (x *FeatureView_FeatureRegistrySource) GetFeatureGroups() []*FeatureView_FeatureRegistrySource_FeatureGroup {
	if x != nil {
		return x.FeatureGroups
	}
	return nil
}

type FeatureView_VectorSearchConfig_BruteForceConfig struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields
}

func (x *FeatureView_VectorSearchConfig_BruteForceConfig) Reset() {
	*x = FeatureView_VectorSearchConfig_BruteForceConfig{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes[6]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *FeatureView_VectorSearchConfig_BruteForceConfig) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*FeatureView_VectorSearchConfig_BruteForceConfig) ProtoMessage() {}

func (x *FeatureView_VectorSearchConfig_BruteForceConfig) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_feature_view_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 FeatureView_VectorSearchConfig_BruteForceConfig.ProtoReflect.Descriptor instead.
func (*FeatureView_VectorSearchConfig_BruteForceConfig) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_feature_view_proto_rawDescGZIP(), []int{0, 2, 0}
}

type FeatureView_VectorSearchConfig_TreeAHConfig struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Optional. Number of embeddings on each leaf node. The default value is
	// 1000 if not set.
	LeafNodeEmbeddingCount *int64 `protobuf:"varint,1,opt,name=leaf_node_embedding_count,json=leafNodeEmbeddingCount,proto3,oneof" json:"leaf_node_embedding_count,omitempty"`
}

func (x *FeatureView_VectorSearchConfig_TreeAHConfig) Reset() {
	*x = FeatureView_VectorSearchConfig_TreeAHConfig{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes[7]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *FeatureView_VectorSearchConfig_TreeAHConfig) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*FeatureView_VectorSearchConfig_TreeAHConfig) ProtoMessage() {}

func (x *FeatureView_VectorSearchConfig_TreeAHConfig) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_feature_view_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 FeatureView_VectorSearchConfig_TreeAHConfig.ProtoReflect.Descriptor instead.
func (*FeatureView_VectorSearchConfig_TreeAHConfig) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_feature_view_proto_rawDescGZIP(), []int{0, 2, 1}
}

func (x *FeatureView_VectorSearchConfig_TreeAHConfig) GetLeafNodeEmbeddingCount() int64 {
	if x != nil && x.LeafNodeEmbeddingCount != nil {
		return *x.LeafNodeEmbeddingCount
	}
	return 0
}

// Features belonging to a single feature group that will be
// synced to Online Store.
type FeatureView_FeatureRegistrySource_FeatureGroup struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. Identifier of the feature group.
	FeatureGroupId string `protobuf:"bytes,1,opt,name=feature_group_id,json=featureGroupId,proto3" json:"feature_group_id,omitempty"`
	// Required. Identifiers of features under the feature group.
	FeatureIds []string `protobuf:"bytes,2,rep,name=feature_ids,json=featureIds,proto3" json:"feature_ids,omitempty"`
}

func (x *FeatureView_FeatureRegistrySource_FeatureGroup) Reset() {
	*x = FeatureView_FeatureRegistrySource_FeatureGroup{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes[8]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *FeatureView_FeatureRegistrySource_FeatureGroup) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*FeatureView_FeatureRegistrySource_FeatureGroup) ProtoMessage() {}

func (x *FeatureView_FeatureRegistrySource_FeatureGroup) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_feature_view_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 FeatureView_FeatureRegistrySource_FeatureGroup.ProtoReflect.Descriptor instead.
func (*FeatureView_FeatureRegistrySource_FeatureGroup) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_feature_view_proto_rawDescGZIP(), []int{0, 3, 0}
}

func (x *FeatureView_FeatureRegistrySource_FeatureGroup) GetFeatureGroupId() string {
	if x != nil {
		return x.FeatureGroupId
	}
	return ""
}

func (x *FeatureView_FeatureRegistrySource_FeatureGroup) GetFeatureIds() []string {
	if x != nil {
		return x.FeatureIds
	}
	return nil
}

var File_google_cloud_aiplatform_v1beta1_feature_view_proto protoreflect.FileDescriptor

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}

var (
	file_google_cloud_aiplatform_v1beta1_feature_view_proto_rawDescOnce sync.Once
	file_google_cloud_aiplatform_v1beta1_feature_view_proto_rawDescData = file_google_cloud_aiplatform_v1beta1_feature_view_proto_rawDesc
)

func file_google_cloud_aiplatform_v1beta1_feature_view_proto_rawDescGZIP() []byte {
	file_google_cloud_aiplatform_v1beta1_feature_view_proto_rawDescOnce.Do(func() {
		file_google_cloud_aiplatform_v1beta1_feature_view_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1beta1_feature_view_proto_rawDescData)
	})
	return file_google_cloud_aiplatform_v1beta1_feature_view_proto_rawDescData
}

var file_google_cloud_aiplatform_v1beta1_feature_view_proto_enumTypes = make([]protoimpl.EnumInfo, 1)
var file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes = make([]protoimpl.MessageInfo, 9)
var file_google_cloud_aiplatform_v1beta1_feature_view_proto_goTypes = []interface{}{
	(FeatureView_VectorSearchConfig_DistanceMeasureType)(0), // 0: google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.DistanceMeasureType
	(*FeatureView)(nil),                       // 1: google.cloud.aiplatform.v1beta1.FeatureView
	(*FeatureView_BigQuerySource)(nil),        // 2: google.cloud.aiplatform.v1beta1.FeatureView.BigQuerySource
	(*FeatureView_SyncConfig)(nil),            // 3: google.cloud.aiplatform.v1beta1.FeatureView.SyncConfig
	(*FeatureView_VectorSearchConfig)(nil),    // 4: google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig
	(*FeatureView_FeatureRegistrySource)(nil), // 5: google.cloud.aiplatform.v1beta1.FeatureView.FeatureRegistrySource
	nil, // 6: google.cloud.aiplatform.v1beta1.FeatureView.LabelsEntry
	(*FeatureView_VectorSearchConfig_BruteForceConfig)(nil), // 7: google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.BruteForceConfig
	(*FeatureView_VectorSearchConfig_TreeAHConfig)(nil),     // 8: google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.TreeAHConfig
	(*FeatureView_FeatureRegistrySource_FeatureGroup)(nil),  // 9: google.cloud.aiplatform.v1beta1.FeatureView.FeatureRegistrySource.FeatureGroup
	(*timestamppb.Timestamp)(nil),                           // 10: google.protobuf.Timestamp
}
var file_google_cloud_aiplatform_v1beta1_feature_view_proto_depIdxs = []int32{
	2,  // 0: google.cloud.aiplatform.v1beta1.FeatureView.big_query_source:type_name -> google.cloud.aiplatform.v1beta1.FeatureView.BigQuerySource
	5,  // 1: google.cloud.aiplatform.v1beta1.FeatureView.feature_registry_source:type_name -> google.cloud.aiplatform.v1beta1.FeatureView.FeatureRegistrySource
	10, // 2: google.cloud.aiplatform.v1beta1.FeatureView.create_time:type_name -> google.protobuf.Timestamp
	10, // 3: google.cloud.aiplatform.v1beta1.FeatureView.update_time:type_name -> google.protobuf.Timestamp
	6,  // 4: google.cloud.aiplatform.v1beta1.FeatureView.labels:type_name -> google.cloud.aiplatform.v1beta1.FeatureView.LabelsEntry
	3,  // 5: google.cloud.aiplatform.v1beta1.FeatureView.sync_config:type_name -> google.cloud.aiplatform.v1beta1.FeatureView.SyncConfig
	4,  // 6: google.cloud.aiplatform.v1beta1.FeatureView.vector_search_config:type_name -> google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig
	8,  // 7: google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.tree_ah_config:type_name -> google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.TreeAHConfig
	7,  // 8: google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.brute_force_config:type_name -> google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.BruteForceConfig
	0,  // 9: google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.distance_measure_type:type_name -> google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.DistanceMeasureType
	9,  // 10: google.cloud.aiplatform.v1beta1.FeatureView.FeatureRegistrySource.feature_groups:type_name -> google.cloud.aiplatform.v1beta1.FeatureView.FeatureRegistrySource.FeatureGroup
	11, // [11:11] is the sub-list for method output_type
	11, // [11:11] is the sub-list for method input_type
	11, // [11:11] is the sub-list for extension type_name
	11, // [11:11] is the sub-list for extension extendee
	0,  // [0:11] is the sub-list for field type_name
}

func init() { file_google_cloud_aiplatform_v1beta1_feature_view_proto_init() }
func file_google_cloud_aiplatform_v1beta1_feature_view_proto_init() {
	if File_google_cloud_aiplatform_v1beta1_feature_view_proto != nil {
		return
	}
	if !protoimpl.UnsafeEnabled {
		file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*FeatureView); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*FeatureView_BigQuerySource); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*FeatureView_SyncConfig); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*FeatureView_VectorSearchConfig); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*FeatureView_FeatureRegistrySource); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*FeatureView_VectorSearchConfig_BruteForceConfig); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*FeatureView_VectorSearchConfig_TreeAHConfig); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes[8].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*FeatureView_FeatureRegistrySource_FeatureGroup); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
	}
	file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes[0].OneofWrappers = []interface{}{
		(*FeatureView_BigQuerySource_)(nil),
		(*FeatureView_FeatureRegistrySource_)(nil),
	}
	file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes[3].OneofWrappers = []interface{}{
		(*FeatureView_VectorSearchConfig_TreeAhConfig)(nil),
		(*FeatureView_VectorSearchConfig_BruteForceConfig_)(nil),
	}
	file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes[7].OneofWrappers = []interface{}{}
	type x struct{}
	out := protoimpl.TypeBuilder{
		File: protoimpl.DescBuilder{
			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
			RawDescriptor: file_google_cloud_aiplatform_v1beta1_feature_view_proto_rawDesc,
			NumEnums:      1,
			NumMessages:   9,
			NumExtensions: 0,
			NumServices:   0,
		},
		GoTypes:           file_google_cloud_aiplatform_v1beta1_feature_view_proto_goTypes,
		DependencyIndexes: file_google_cloud_aiplatform_v1beta1_feature_view_proto_depIdxs,
		EnumInfos:         file_google_cloud_aiplatform_v1beta1_feature_view_proto_enumTypes,
		MessageInfos:      file_google_cloud_aiplatform_v1beta1_feature_view_proto_msgTypes,
	}.Build()
	File_google_cloud_aiplatform_v1beta1_feature_view_proto = out.File
	file_google_cloud_aiplatform_v1beta1_feature_view_proto_rawDesc = nil
	file_google_cloud_aiplatform_v1beta1_feature_view_proto_goTypes = nil
	file_google_cloud_aiplatform_v1beta1_feature_view_proto_depIdxs = nil
}
