grpc1.45.2/third_party/googleapis/google/cloud/automl/v1beta1/table_spec.proto

// Copyright 2020 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.

syntax = "proto3";

package google.cloud.automl.v1beta1;

import "google/api/resource.proto";
import "google/cloud/automl/v1beta1/io.proto";
import "google/api/annotations.proto";

option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
option java_multiple_files = true;
option java_package = "com.google.cloud.automl.v1beta1";
option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
option ruby_package = "Google::Cloud::AutoML::V1beta1";

// A specification of a relational table.
// The table's schema is represented via its child column specs. It is
// pre-populated as part of ImportData by schema inference algorithm, the
// version of which is a required parameter of ImportData InputConfig.
// Note: While working with a table, at times the schema may be
// inconsistent with the data in the table (e.g. string in a FLOAT64 column).
// The consistency validation is done upon creation of a model.
// Used by:
//   *   Tables
message TableSpec {
  option (google.api.resource) = {
    type: "automl.googleapis.com/TableSpec"
    pattern: "projects/{project}/locations/{location}/datasets/{dataset}/tableSpecs/{table_spec}"
  };

  // Output only. The resource name of the table spec.
  // Form:
  //
  // `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
  string name = 1;

  // column_spec_id of the time column. Only used if the parent dataset's
  // ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE
  // and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and
  // those in between to VALIDATE.
  // Required type: TIMESTAMP.
  // If both this column and ml_use_column are not set, then ML use of all rows
  // will be assigned by AutoML. NOTE: Updates of this field will instantly
  // affect any other users concurrently working with the dataset.
  string time_column_spec_id = 2;

  // Output only. The number of rows (i.e. examples) in the table.
  int64 row_count = 3;

  // Output only. The number of valid rows (i.e. without values that don't match
  // DataType-s of their columns).
  int64 valid_row_count = 4;

  // Output only. The number of columns of the table. That is, the number of
  // child ColumnSpec-s.
  int64 column_count = 7;

  // Output only. Input configs via which data currently residing in the table
  // had been imported.
  repeated InputConfig input_configs = 5;

  // Used to perform consistent read-modify-write updates. If not set, a blind
  // "overwrite" update happens.
  string etag = 6;
}