feast/protos/feast/core/StreamFeatureView.proto at pytorch-template · feast-dev/feast · GitHub

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// 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

// https://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.

syntax = "proto3";

package feast.core;

option go_package = "github.com/feast-dev/feast/go/protos/feast/core";

option java_outer_classname = "StreamFeatureViewProto";

option java_package = "feast.proto.core";

import "google/protobuf/duration.proto";

import "feast/core/OnDemandFeatureView.proto";

import "feast/core/FeatureView.proto";

import "feast/core/Feature.proto";

import "feast/core/DataSource.proto";

import "feast/core/Aggregation.proto";

import "feast/core/Transformation.proto";

message StreamFeatureView {

// User-specified specifications of this feature view.

StreamFeatureViewSpec spec = 1;

FeatureViewMeta meta = 2;

}

// Next available id: 20

message StreamFeatureViewSpec {

// Name of the feature view. Must be unique. Not updated.

string name = 1;

// Name of Feast project that this feature view belongs to.

string project = 2;

// List of names of entities associated with this feature view.

repeated string entities = 3;

// List of specifications for each feature defined as part of this feature view.

repeated FeatureSpecV2 features = 4;

// List of specifications for each entity defined as part of this feature view.

repeated FeatureSpecV2 entity_columns = 5;

// Description of the feature view.

string description = 6;

// User defined metadata

map<string,string> tags = 7;

// Owner of the feature view.

string owner = 8;

// Features in this feature view can only be retrieved from online serving

// younger than ttl. Ttl is measured as the duration of time between

// the feature's event timestamp and when the feature is retrieved

// Feature values outside ttl will be returned as unset values and indicated to end user

google.protobuf.Duration ttl = 9;

// Batch/Offline DataSource where this view can retrieve offline feature data.

DataSource batch_source = 10;

// Streaming DataSource from where this view can consume "online" feature data.

DataSource stream_source = 11;

// Whether these features should be served online or not

bool online = 12;

// Serialized function that is encoded in the streamfeatureview

UserDefinedFunction user_defined_function = 13 [deprecated = true];

// Mode of execution

string mode = 14;

// Aggregation definitions

repeated Aggregation aggregations = 15;

// Timestamp field for aggregation

string timestamp_field = 16;

// Oneof with {user_defined_function, on_demand_substrait_transformation}

FeatureTransformationV2 feature_transformation = 17;

// Enable tiling for efficient window aggregation

bool enable_tiling = 18;

// Hop size for tiling (e.g., 5 minutes). Determines the granularity of pre-aggregated tiles.

// If not specified, defaults to 5 minutes. Only used when enable_tiling is true.

google.protobuf.Duration tiling_hop_size = 19;

}

feast/protos/feast/core/StreamFeatureView.proto at pytorch-template · feast-dev/feast · GitHub

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