# frozen_string_literal: true

# 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
#
#     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.

# Auto-generated by gapic-generator-ruby. DO NOT EDIT!


module Google
  module Cloud
    module AutoML
      module 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
        # @!attribute [rw] name
        #   @return [String]
        #     Output only. The resource name of the table spec.
        #     Form:
        #
        #     `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
        # @!attribute [rw] time_column_spec_id
        #   @return [String]
        #     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.
        # @!attribute [rw] row_count
        #   @return [Integer]
        #     Output only. The number of rows (i.e. examples) in the table.
        # @!attribute [rw] valid_row_count
        #   @return [Integer]
        #     Output only. The number of valid rows (i.e. without values that don't match
        #     DataType-s of their columns).
        # @!attribute [rw] column_count
        #   @return [Integer]
        #     Output only. The number of columns of the table. That is, the number of
        #     child ColumnSpec-s.
        # @!attribute [rw] input_configs
        #   @return [Array<Google::Cloud::AutoML::V1beta1::InputConfig>]
        #     Output only. Input configs via which data currently residing in the table
        #     had been imported.
        # @!attribute [rw] etag
        #   @return [String]
        #     Used to perform consistent read-modify-write updates. If not set, a blind
        #     "overwrite" update happens.
        class TableSpec
          include Google::Protobuf::MessageExts
          extend Google::Protobuf::MessageExts::ClassMethods
        end
      end
    end
  end
end