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// 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 v1.33.0
// protoc v4.25.3
// source: google/cloud/aiplatform/v1/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)
)
// The distance measure used in nearest neighbor search.
type FeatureView_IndexConfig_DistanceMeasureType int32
const (
// Should not be set.
FeatureView_IndexConfig_DISTANCE_MEASURE_TYPE_UNSPECIFIED FeatureView_IndexConfig_DistanceMeasureType = 0
// Euclidean (L_2) Distance.
FeatureView_IndexConfig_SQUARED_L2_DISTANCE FeatureView_IndexConfig_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_IndexConfig_COSINE_DISTANCE FeatureView_IndexConfig_DistanceMeasureType = 2
// Dot Product Distance. Defined as a negative of the dot product.
FeatureView_IndexConfig_DOT_PRODUCT_DISTANCE FeatureView_IndexConfig_DistanceMeasureType = 3
)
// Enum value maps for FeatureView_IndexConfig_DistanceMeasureType.
var (
FeatureView_IndexConfig_DistanceMeasureType_name = map[int32]string{
0: "DISTANCE_MEASURE_TYPE_UNSPECIFIED",
1: "SQUARED_L2_DISTANCE",
2: "COSINE_DISTANCE",
3: "DOT_PRODUCT_DISTANCE",
}
FeatureView_IndexConfig_DistanceMeasureType_value = map[string]int32{
"DISTANCE_MEASURE_TYPE_UNSPECIFIED": 0,
"SQUARED_L2_DISTANCE": 1,
"COSINE_DISTANCE": 2,
"DOT_PRODUCT_DISTANCE": 3,
}
)
func (x FeatureView_IndexConfig_DistanceMeasureType) Enum() *FeatureView_IndexConfig_DistanceMeasureType {
p := new(FeatureView_IndexConfig_DistanceMeasureType)
*p = x
return p
}
func (x FeatureView_IndexConfig_DistanceMeasureType) String() string {
return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
}
func (FeatureView_IndexConfig_DistanceMeasureType) Descriptor() protoreflect.EnumDescriptor {
return file_google_cloud_aiplatform_v1_feature_view_proto_enumTypes[0].Descriptor()
}
func (FeatureView_IndexConfig_DistanceMeasureType) Type() protoreflect.EnumType {
return &file_google_cloud_aiplatform_v1_feature_view_proto_enumTypes[0]
}
func (x FeatureView_IndexConfig_DistanceMeasureType) Number() protoreflect.EnumNumber {
return protoreflect.EnumNumber(x)
}
// Deprecated: Use FeatureView_IndexConfig_DistanceMeasureType.Descriptor instead.
func (FeatureView_IndexConfig_DistanceMeasureType) EnumDescriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_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"`
// Identifier. 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 index preparation 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.
IndexConfig *FeatureView_IndexConfig `protobuf:"bytes,15,opt,name=index_config,json=indexConfig,proto3" json:"index_config,omitempty"`
}
func (x *FeatureView) Reset() {
*x = FeatureView{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_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_v1_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_v1_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) GetIndexConfig() *FeatureView_IndexConfig {
if x != nil {
return x.IndexConfig
}
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.
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_v1_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_v1_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_v1_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
}
// Configuration for Sync. Only one option is set.
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_v1_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_v1_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_v1_feature_view_proto_rawDescGZIP(), []int{0, 1}
}
func (x *FeatureView_SyncConfig) GetCron() string {
if x != nil {
return x.Cron
}
return ""
}
// Configuration for vector indexing.
type FeatureView_IndexConfig 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_IndexConfig_TreeAhConfig
// *FeatureView_IndexConfig_BruteForceConfig_
AlgorithmConfig isFeatureView_IndexConfig_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,1,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,2,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
// [FeatureOnlineStoreService.SearchNearestEntities][google.cloud.aiplatform.v1.FeatureOnlineStoreService.SearchNearestEntities]
// to diversify search results. If
// [NearestNeighborQuery.per_crowding_attribute_neighbor_count][google.cloud.aiplatform.v1.NearestNeighborQuery.per_crowding_attribute_neighbor_count]
// is set to K in
// [SearchNearestEntitiesRequest][google.cloud.aiplatform.v1.SearchNearestEntitiesRequest],
// it's guaranteed that no more than K entities of the same crowding
// attribute are returned in the response.
CrowdingColumn string `protobuf:"bytes,3,opt,name=crowding_column,json=crowdingColumn,proto3" json:"crowding_column,omitempty"`
// Optional. The number of dimensions of the input embedding.
EmbeddingDimension *int32 `protobuf:"varint,4,opt,name=embedding_dimension,json=embeddingDimension,proto3,oneof" json:"embedding_dimension,omitempty"`
// Optional. The distance measure used in nearest neighbor search.
DistanceMeasureType FeatureView_IndexConfig_DistanceMeasureType `protobuf:"varint,5,opt,name=distance_measure_type,json=distanceMeasureType,proto3,enum=google.cloud.aiplatform.v1.FeatureView_IndexConfig_DistanceMeasureType" json:"distance_measure_type,omitempty"`
}
func (x *FeatureView_IndexConfig) Reset() {
*x = FeatureView_IndexConfig{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_feature_view_proto_msgTypes[3]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *FeatureView_IndexConfig) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*FeatureView_IndexConfig) ProtoMessage() {}
func (x *FeatureView_IndexConfig) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_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_IndexConfig.ProtoReflect.Descriptor instead.
func (*FeatureView_IndexConfig) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_feature_view_proto_rawDescGZIP(), []int{0, 2}
}
func (m *FeatureView_IndexConfig) GetAlgorithmConfig() isFeatureView_IndexConfig_AlgorithmConfig {
if m != nil {
return m.AlgorithmConfig
}
return nil
}
func (x *FeatureView_IndexConfig) GetTreeAhConfig() *FeatureView_IndexConfig_TreeAHConfig {
if x, ok := x.GetAlgorithmConfig().(*FeatureView_IndexConfig_TreeAhConfig); ok {
return x.TreeAhConfig
}
return nil
}
func (x *FeatureView_IndexConfig) GetBruteForceConfig() *FeatureView_IndexConfig_BruteForceConfig {
if x, ok := x.GetAlgorithmConfig().(*FeatureView_IndexConfig_BruteForceConfig_); ok {
return x.BruteForceConfig
}
return nil
}
func (x *FeatureView_IndexConfig) GetEmbeddingColumn() string {
if x != nil {
return x.EmbeddingColumn
}
return ""
}
func (x *FeatureView_IndexConfig) GetFilterColumns() []string {
if x != nil {
return x.FilterColumns
}
return nil
}
func (x *FeatureView_IndexConfig) GetCrowdingColumn() string {
if x != nil {
return x.CrowdingColumn
}
return ""
}
func (x *FeatureView_IndexConfig) GetEmbeddingDimension() int32 {
if x != nil && x.EmbeddingDimension != nil {
return *x.EmbeddingDimension
}
return 0
}
func (x *FeatureView_IndexConfig) GetDistanceMeasureType() FeatureView_IndexConfig_DistanceMeasureType {
if x != nil {
return x.DistanceMeasureType
}
return FeatureView_IndexConfig_DISTANCE_MEASURE_TYPE_UNSPECIFIED
}
type isFeatureView_IndexConfig_AlgorithmConfig interface {
isFeatureView_IndexConfig_AlgorithmConfig()
}
type FeatureView_IndexConfig_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_IndexConfig_TreeAHConfig `protobuf:"bytes,6,opt,name=tree_ah_config,json=treeAhConfig,proto3,oneof"`
}
type FeatureView_IndexConfig_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_IndexConfig_BruteForceConfig `protobuf:"bytes,7,opt,name=brute_force_config,json=bruteForceConfig,proto3,oneof"`
}
func (*FeatureView_IndexConfig_TreeAhConfig) isFeatureView_IndexConfig_AlgorithmConfig() {}
func (*FeatureView_IndexConfig_BruteForceConfig_) isFeatureView_IndexConfig_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"`
// Optional. The project number of the parent project of the Feature Groups.
ProjectNumber *int64 `protobuf:"varint,2,opt,name=project_number,json=projectNumber,proto3,oneof" json:"project_number,omitempty"`
}
func (x *FeatureView_FeatureRegistrySource) Reset() {
*x = FeatureView_FeatureRegistrySource{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_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_v1_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_v1_feature_view_proto_rawDescGZIP(), []int{0, 3}
}
func (x *FeatureView_FeatureRegistrySource) GetFeatureGroups() []*FeatureView_FeatureRegistrySource_FeatureGroup {
if x != nil {
return x.FeatureGroups
}
return nil
}
func (x *FeatureView_FeatureRegistrySource) GetProjectNumber() int64 {
if x != nil && x.ProjectNumber != nil {
return *x.ProjectNumber
}
return 0
}
// Configuration options for using brute force search.
type FeatureView_IndexConfig_BruteForceConfig struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
}
func (x *FeatureView_IndexConfig_BruteForceConfig) Reset() {
*x = FeatureView_IndexConfig_BruteForceConfig{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_feature_view_proto_msgTypes[6]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *FeatureView_IndexConfig_BruteForceConfig) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*FeatureView_IndexConfig_BruteForceConfig) ProtoMessage() {}
func (x *FeatureView_IndexConfig_BruteForceConfig) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_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_IndexConfig_BruteForceConfig.ProtoReflect.Descriptor instead.
func (*FeatureView_IndexConfig_BruteForceConfig) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_feature_view_proto_rawDescGZIP(), []int{0, 2, 0}
}
// Configuration options for the tree-AH algorithm.
type FeatureView_IndexConfig_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_IndexConfig_TreeAHConfig) Reset() {
*x = FeatureView_IndexConfig_TreeAHConfig{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_feature_view_proto_msgTypes[7]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *FeatureView_IndexConfig_TreeAHConfig) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*FeatureView_IndexConfig_TreeAHConfig) ProtoMessage() {}
func (x *FeatureView_IndexConfig_TreeAHConfig) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_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_IndexConfig_TreeAHConfig.ProtoReflect.Descriptor instead.
func (*FeatureView_IndexConfig_TreeAHConfig) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_feature_view_proto_rawDescGZIP(), []int{0, 2, 1}
}
func (x *FeatureView_IndexConfig_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_v1_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_v1_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_v1_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_v1_feature_view_proto protoreflect.FileDescriptor
var file_google_cloud_aiplatform_v1_feature_view_proto_rawDesc = []byte{
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}
var (
file_google_cloud_aiplatform_v1_feature_view_proto_rawDescOnce sync.Once
file_google_cloud_aiplatform_v1_feature_view_proto_rawDescData = file_google_cloud_aiplatform_v1_feature_view_proto_rawDesc
)
func file_google_cloud_aiplatform_v1_feature_view_proto_rawDescGZIP() []byte {
file_google_cloud_aiplatform_v1_feature_view_proto_rawDescOnce.Do(func() {
file_google_cloud_aiplatform_v1_feature_view_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_feature_view_proto_rawDescData)
})
return file_google_cloud_aiplatform_v1_feature_view_proto_rawDescData
}
var file_google_cloud_aiplatform_v1_feature_view_proto_enumTypes = make([]protoimpl.EnumInfo, 1)
var file_google_cloud_aiplatform_v1_feature_view_proto_msgTypes = make([]protoimpl.MessageInfo, 9)
var file_google_cloud_aiplatform_v1_feature_view_proto_goTypes = []interface{}{
(FeatureView_IndexConfig_DistanceMeasureType)(0), // 0: google.cloud.aiplatform.v1.FeatureView.IndexConfig.DistanceMeasureType
(*FeatureView)(nil), // 1: google.cloud.aiplatform.v1.FeatureView
(*FeatureView_BigQuerySource)(nil), // 2: google.cloud.aiplatform.v1.FeatureView.BigQuerySource
(*FeatureView_SyncConfig)(nil), // 3: google.cloud.aiplatform.v1.FeatureView.SyncConfig
(*FeatureView_IndexConfig)(nil), // 4: google.cloud.aiplatform.v1.FeatureView.IndexConfig
(*FeatureView_FeatureRegistrySource)(nil), // 5: google.cloud.aiplatform.v1.FeatureView.FeatureRegistrySource
nil, // 6: google.cloud.aiplatform.v1.FeatureView.LabelsEntry
(*FeatureView_IndexConfig_BruteForceConfig)(nil), // 7: google.cloud.aiplatform.v1.FeatureView.IndexConfig.BruteForceConfig
(*FeatureView_IndexConfig_TreeAHConfig)(nil), // 8: google.cloud.aiplatform.v1.FeatureView.IndexConfig.TreeAHConfig
(*FeatureView_FeatureRegistrySource_FeatureGroup)(nil), // 9: google.cloud.aiplatform.v1.FeatureView.FeatureRegistrySource.FeatureGroup
(*timestamppb.Timestamp)(nil), // 10: google.protobuf.Timestamp
}
var file_google_cloud_aiplatform_v1_feature_view_proto_depIdxs = []int32{
2, // 0: google.cloud.aiplatform.v1.FeatureView.big_query_source:type_name -> google.cloud.aiplatform.v1.FeatureView.BigQuerySource
5, // 1: google.cloud.aiplatform.v1.FeatureView.feature_registry_source:type_name -> google.cloud.aiplatform.v1.FeatureView.FeatureRegistrySource
10, // 2: google.cloud.aiplatform.v1.FeatureView.create_time:type_name -> google.protobuf.Timestamp
10, // 3: google.cloud.aiplatform.v1.FeatureView.update_time:type_name -> google.protobuf.Timestamp
6, // 4: google.cloud.aiplatform.v1.FeatureView.labels:type_name -> google.cloud.aiplatform.v1.FeatureView.LabelsEntry
3, // 5: google.cloud.aiplatform.v1.FeatureView.sync_config:type_name -> google.cloud.aiplatform.v1.FeatureView.SyncConfig
4, // 6: google.cloud.aiplatform.v1.FeatureView.index_config:type_name -> google.cloud.aiplatform.v1.FeatureView.IndexConfig
8, // 7: google.cloud.aiplatform.v1.FeatureView.IndexConfig.tree_ah_config:type_name -> google.cloud.aiplatform.v1.FeatureView.IndexConfig.TreeAHConfig
7, // 8: google.cloud.aiplatform.v1.FeatureView.IndexConfig.brute_force_config:type_name -> google.cloud.aiplatform.v1.FeatureView.IndexConfig.BruteForceConfig
0, // 9: google.cloud.aiplatform.v1.FeatureView.IndexConfig.distance_measure_type:type_name -> google.cloud.aiplatform.v1.FeatureView.IndexConfig.DistanceMeasureType
9, // 10: google.cloud.aiplatform.v1.FeatureView.FeatureRegistrySource.feature_groups:type_name -> google.cloud.aiplatform.v1.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_v1_feature_view_proto_init() }
func file_google_cloud_aiplatform_v1_feature_view_proto_init() {
if File_google_cloud_aiplatform_v1_feature_view_proto != nil {
return
}
if !protoimpl.UnsafeEnabled {
file_google_cloud_aiplatform_v1_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_v1_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_v1_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_v1_feature_view_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*FeatureView_IndexConfig); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_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_v1_feature_view_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*FeatureView_IndexConfig_BruteForceConfig); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_feature_view_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*FeatureView_IndexConfig_TreeAHConfig); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_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_v1_feature_view_proto_msgTypes[0].OneofWrappers = []interface{}{
(*FeatureView_BigQuerySource_)(nil),
(*FeatureView_FeatureRegistrySource_)(nil),
}
file_google_cloud_aiplatform_v1_feature_view_proto_msgTypes[3].OneofWrappers = []interface{}{
(*FeatureView_IndexConfig_TreeAhConfig)(nil),
(*FeatureView_IndexConfig_BruteForceConfig_)(nil),
}
file_google_cloud_aiplatform_v1_feature_view_proto_msgTypes[4].OneofWrappers = []interface{}{}
file_google_cloud_aiplatform_v1_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_v1_feature_view_proto_rawDesc,
NumEnums: 1,
NumMessages: 9,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_google_cloud_aiplatform_v1_feature_view_proto_goTypes,
DependencyIndexes: file_google_cloud_aiplatform_v1_feature_view_proto_depIdxs,
EnumInfos: file_google_cloud_aiplatform_v1_feature_view_proto_enumTypes,
MessageInfos: file_google_cloud_aiplatform_v1_feature_view_proto_msgTypes,
}.Build()
File_google_cloud_aiplatform_v1_feature_view_proto = out.File
file_google_cloud_aiplatform_v1_feature_view_proto_rawDesc = nil
file_google_cloud_aiplatform_v1_feature_view_proto_goTypes = nil
file_google_cloud_aiplatform_v1_feature_view_proto_depIdxs = nil
}