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google-api-ruby-client/generated/google/apis/bigquery_v2/classes.rb

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# Copyright 2015 Google Inc.
#
# 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.
require 'date'
require 'google/apis/core/base_service'
require 'google/apis/core/json_representation'
require 'google/apis/core/hashable'
require 'google/apis/errors'
module Google
module Apis
module BigqueryV2
# Aggregate metrics for classification/classifier models. For multi-class
# models, the metrics are either macro-averaged or micro-averaged. When
# macro-averaged, the metrics are calculated for each label and then an
# unweighted average is taken of those values. When micro-averaged, the
# metric is calculated globally by counting the total number of correctly
# predicted rows.
class AggregateClassificationMetrics
include Google::Apis::Core::Hashable
# Accuracy is the fraction of predictions given the correct label. For
# multiclass this is a micro-averaged metric.
# Corresponds to the JSON property `accuracy`
# @return [Float]
attr_accessor :accuracy
# The F1 score is an average of recall and precision. For multiclass
# this is a macro-averaged metric.
# Corresponds to the JSON property `f1Score`
# @return [Float]
attr_accessor :f1_score
# Logarithmic Loss. For multiclass this is a macro-averaged metric.
# Corresponds to the JSON property `logLoss`
# @return [Float]
attr_accessor :log_loss
# Precision is the fraction of actual positive predictions that had
# positive actual labels. For multiclass this is a macro-averaged
# metric treating each class as a binary classifier.
# Corresponds to the JSON property `precision`
# @return [Float]
attr_accessor :precision
# Recall is the fraction of actual positive labels that were given a
# positive prediction. For multiclass this is a macro-averaged metric.
# Corresponds to the JSON property `recall`
# @return [Float]
attr_accessor :recall
# Area Under a ROC Curve. For multiclass this is a macro-averaged
# metric.
# Corresponds to the JSON property `rocAuc`
# @return [Float]
attr_accessor :roc_auc
# Threshold at which the metrics are computed. For binary
# classification models this is the positive class threshold.
# For multi-class classfication models this is the confidence
# threshold.
# Corresponds to the JSON property `threshold`
# @return [Float]
attr_accessor :threshold
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@accuracy = args[:accuracy] if args.key?(:accuracy)
@f1_score = args[:f1_score] if args.key?(:f1_score)
@log_loss = args[:log_loss] if args.key?(:log_loss)
@precision = args[:precision] if args.key?(:precision)
@recall = args[:recall] if args.key?(:recall)
@roc_auc = args[:roc_auc] if args.key?(:roc_auc)
@threshold = args[:threshold] if args.key?(:threshold)
end
end
# Input/output argument of a function or a stored procedure.
class Argument
include Google::Apis::Core::Hashable
# Optional. Defaults to FIXED_TYPE.
# Corresponds to the JSON property `argumentKind`
# @return [String]
attr_accessor :argument_kind
# The type of a variable, e.g., a function argument.
# Examples:
# INT64: `type_kind="INT64"`
# ARRAY<STRING>: `type_kind="ARRAY", array_element_type="STRING"`
# STRUCT<x STRING, y ARRAY<DATE>>:
# `type_kind="STRUCT",
# struct_type=`fields=[
# `name="x", type=`type_kind="STRING"``,
# `name="y", type=`type_kind="ARRAY", array_element_type="DATE"``
# ]``
# Corresponds to the JSON property `dataType`
# @return [Google::Apis::BigqueryV2::StandardSqlDataType]
attr_accessor :data_type
# Optional. Specifies whether the argument is input or output.
# Can be set for procedures only.
# Corresponds to the JSON property `mode`
# @return [String]
attr_accessor :mode
# Optional. The name of this argument. Can be absent for function return
# argument.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@argument_kind = args[:argument_kind] if args.key?(:argument_kind)
@data_type = args[:data_type] if args.key?(:data_type)
@mode = args[:mode] if args.key?(:mode)
@name = args[:name] if args.key?(:name)
end
end
# Arima coefficients.
class ArimaCoefficients
include Google::Apis::Core::Hashable
# Auto-regressive coefficients, an array of double.
# Corresponds to the JSON property `autoRegressiveCoefficients`
# @return [Array<Float>]
attr_accessor :auto_regressive_coefficients
# Intercept coefficient, just a double not an array.
# Corresponds to the JSON property `interceptCoefficient`
# @return [Float]
attr_accessor :intercept_coefficient
# Moving-average coefficients, an array of double.
# Corresponds to the JSON property `movingAverageCoefficients`
# @return [Array<Float>]
attr_accessor :moving_average_coefficients
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@auto_regressive_coefficients = args[:auto_regressive_coefficients] if args.key?(:auto_regressive_coefficients)
@intercept_coefficient = args[:intercept_coefficient] if args.key?(:intercept_coefficient)
@moving_average_coefficients = args[:moving_average_coefficients] if args.key?(:moving_average_coefficients)
end
end
# ARIMA model fitting metrics.
class ArimaFittingMetrics
include Google::Apis::Core::Hashable
# AIC.
# Corresponds to the JSON property `aic`
# @return [Float]
attr_accessor :aic
# Log-likelihood.
# Corresponds to the JSON property `logLikelihood`
# @return [Float]
attr_accessor :log_likelihood
# Variance.
# Corresponds to the JSON property `variance`
# @return [Float]
attr_accessor :variance
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@aic = args[:aic] if args.key?(:aic)
@log_likelihood = args[:log_likelihood] if args.key?(:log_likelihood)
@variance = args[:variance] if args.key?(:variance)
end
end
# Arima model information.
class ArimaModelInfo
include Google::Apis::Core::Hashable
# Arima coefficients.
# Corresponds to the JSON property `arimaCoefficients`
# @return [Google::Apis::BigqueryV2::ArimaCoefficients]
attr_accessor :arima_coefficients
# ARIMA model fitting metrics.
# Corresponds to the JSON property `arimaFittingMetrics`
# @return [Google::Apis::BigqueryV2::ArimaFittingMetrics]
attr_accessor :arima_fitting_metrics
# Whether Arima model fitted with drift or not. It is always false
# when d is not 1.
# Corresponds to the JSON property `hasDrift`
# @return [Boolean]
attr_accessor :has_drift
alias_method :has_drift?, :has_drift
# Arima order, can be used for both non-seasonal and seasonal parts.
# Corresponds to the JSON property `nonSeasonalOrder`
# @return [Google::Apis::BigqueryV2::ArimaOrder]
attr_accessor :non_seasonal_order
# Seasonal periods. Repeated because multiple periods are supported
# for one time series.
# Corresponds to the JSON property `seasonalPeriods`
# @return [Array<String>]
attr_accessor :seasonal_periods
# The id to indicate different time series.
# Corresponds to the JSON property `timeSeriesId`
# @return [String]
attr_accessor :time_series_id
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@arima_coefficients = args[:arima_coefficients] if args.key?(:arima_coefficients)
@arima_fitting_metrics = args[:arima_fitting_metrics] if args.key?(:arima_fitting_metrics)
@has_drift = args[:has_drift] if args.key?(:has_drift)
@non_seasonal_order = args[:non_seasonal_order] if args.key?(:non_seasonal_order)
@seasonal_periods = args[:seasonal_periods] if args.key?(:seasonal_periods)
@time_series_id = args[:time_series_id] if args.key?(:time_series_id)
end
end
# Arima order, can be used for both non-seasonal and seasonal parts.
class ArimaOrder
include Google::Apis::Core::Hashable
# Order of the differencing part.
# Corresponds to the JSON property `d`
# @return [Fixnum]
attr_accessor :d
# Order of the autoregressive part.
# Corresponds to the JSON property `p`
# @return [Fixnum]
attr_accessor :p
# Order of the moving-average part.
# Corresponds to the JSON property `q`
# @return [Fixnum]
attr_accessor :q
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@d = args[:d] if args.key?(:d)
@p = args[:p] if args.key?(:p)
@q = args[:q] if args.key?(:q)
end
end
# (Auto-)arima fitting result. Wrap everything in ArimaResult for easier
# refactoring if we want to use model-specific iteration results.
class ArimaResult
include Google::Apis::Core::Hashable
# This message is repeated because there are multiple arima models
# fitted in auto-arima. For non-auto-arima model, its size is one.
# Corresponds to the JSON property `arimaModelInfo`
# @return [Array<Google::Apis::BigqueryV2::ArimaModelInfo>]
attr_accessor :arima_model_info
# Seasonal periods. Repeated because multiple periods are supported for
# one time series.
# Corresponds to the JSON property `seasonalPeriods`
# @return [Array<String>]
attr_accessor :seasonal_periods
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@arima_model_info = args[:arima_model_info] if args.key?(:arima_model_info)
@seasonal_periods = args[:seasonal_periods] if args.key?(:seasonal_periods)
end
end
#
class BigQueryModelTraining
include Google::Apis::Core::Hashable
# [Output-only, Beta] Index of current ML training iteration. Updated during
# create model query job to show job progress.
# Corresponds to the JSON property `currentIteration`
# @return [Fixnum]
attr_accessor :current_iteration
# [Output-only, Beta] Expected number of iterations for the create model query
# job specified as num_iterations in the input query. The actual total number of
# iterations may be less than this number due to early stop.
# Corresponds to the JSON property `expectedTotalIterations`
# @return [Fixnum]
attr_accessor :expected_total_iterations
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@current_iteration = args[:current_iteration] if args.key?(:current_iteration)
@expected_total_iterations = args[:expected_total_iterations] if args.key?(:expected_total_iterations)
end
end
#
class BigtableColumn
include Google::Apis::Core::Hashable
# [Optional] The encoding of the values when the type is not STRING. Acceptable
# encoding values are: TEXT - indicates values are alphanumeric text strings.
# BINARY - indicates values are encoded using HBase Bytes.toBytes family of
# functions. 'encoding' can also be set at the column family level. However, the
# setting at this level takes precedence if 'encoding' is set at both levels.
# Corresponds to the JSON property `encoding`
# @return [String]
attr_accessor :encoding
# [Optional] If the qualifier is not a valid BigQuery field identifier i.e. does
# not match [a-zA-Z][a-zA-Z0-9_]*, a valid identifier must be provided as the
# column field name and is used as field name in queries.
# Corresponds to the JSON property `fieldName`
# @return [String]
attr_accessor :field_name
# [Optional] If this is set, only the latest version of value in this column are
# exposed. 'onlyReadLatest' can also be set at the column family level. However,
# the setting at this level takes precedence if 'onlyReadLatest' is set at both
# levels.
# Corresponds to the JSON property `onlyReadLatest`
# @return [Boolean]
attr_accessor :only_read_latest
alias_method :only_read_latest?, :only_read_latest
# [Required] Qualifier of the column. Columns in the parent column family that
# has this exact qualifier are exposed as . field. If the qualifier is valid UTF-
# 8 string, it can be specified in the qualifier_string field. Otherwise, a base-
# 64 encoded value must be set to qualifier_encoded. The column field name is
# the same as the column qualifier. However, if the qualifier is not a valid
# BigQuery field identifier i.e. does not match [a-zA-Z][a-zA-Z0-9_]*, a valid
# identifier must be provided as field_name.
# Corresponds to the JSON property `qualifierEncoded`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :qualifier_encoded
#
# Corresponds to the JSON property `qualifierString`
# @return [String]
attr_accessor :qualifier_string
# [Optional] The type to convert the value in cells of this column. The values
# are expected to be encoded using HBase Bytes.toBytes function when using the
# BINARY encoding value. Following BigQuery types are allowed (case-sensitive) -
# BYTES STRING INTEGER FLOAT BOOLEAN Default type is BYTES. 'type' can also be
# set at the column family level. However, the setting at this level takes
# precedence if 'type' is set at both levels.
# Corresponds to the JSON property `type`
# @return [String]
attr_accessor :type
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@encoding = args[:encoding] if args.key?(:encoding)
@field_name = args[:field_name] if args.key?(:field_name)
@only_read_latest = args[:only_read_latest] if args.key?(:only_read_latest)
@qualifier_encoded = args[:qualifier_encoded] if args.key?(:qualifier_encoded)
@qualifier_string = args[:qualifier_string] if args.key?(:qualifier_string)
@type = args[:type] if args.key?(:type)
end
end
#
class BigtableColumnFamily
include Google::Apis::Core::Hashable
# [Optional] Lists of columns that should be exposed as individual fields as
# opposed to a list of (column name, value) pairs. All columns whose qualifier
# matches a qualifier in this list can be accessed as .. Other columns can be
# accessed as a list through .Column field.
# Corresponds to the JSON property `columns`
# @return [Array<Google::Apis::BigqueryV2::BigtableColumn>]
attr_accessor :columns
# [Optional] The encoding of the values when the type is not STRING. Acceptable
# encoding values are: TEXT - indicates values are alphanumeric text strings.
# BINARY - indicates values are encoded using HBase Bytes.toBytes family of
# functions. This can be overridden for a specific column by listing that column
# in 'columns' and specifying an encoding for it.
# Corresponds to the JSON property `encoding`
# @return [String]
attr_accessor :encoding
# Identifier of the column family.
# Corresponds to the JSON property `familyId`
# @return [String]
attr_accessor :family_id
# [Optional] If this is set only the latest version of value are exposed for all
# columns in this column family. This can be overridden for a specific column by
# listing that column in 'columns' and specifying a different setting for that
# column.
# Corresponds to the JSON property `onlyReadLatest`
# @return [Boolean]
attr_accessor :only_read_latest
alias_method :only_read_latest?, :only_read_latest
# [Optional] The type to convert the value in cells of this column family. The
# values are expected to be encoded using HBase Bytes.toBytes function when
# using the BINARY encoding value. Following BigQuery types are allowed (case-
# sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Default type is BYTES. This
# can be overridden for a specific column by listing that column in 'columns'
# and specifying a type for it.
# Corresponds to the JSON property `type`
# @return [String]
attr_accessor :type
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@columns = args[:columns] if args.key?(:columns)
@encoding = args[:encoding] if args.key?(:encoding)
@family_id = args[:family_id] if args.key?(:family_id)
@only_read_latest = args[:only_read_latest] if args.key?(:only_read_latest)
@type = args[:type] if args.key?(:type)
end
end
#
class BigtableOptions
include Google::Apis::Core::Hashable
# [Optional] List of column families to expose in the table schema along with
# their types. This list restricts the column families that can be referenced in
# queries and specifies their value types. You can use this list to do type
# conversions - see the 'type' field for more details. If you leave this list
# empty, all column families are present in the table schema and their values
# are read as BYTES. During a query only the column families referenced in that
# query are read from Bigtable.
# Corresponds to the JSON property `columnFamilies`
# @return [Array<Google::Apis::BigqueryV2::BigtableColumnFamily>]
attr_accessor :column_families
# [Optional] If field is true, then the column families that are not specified
# in columnFamilies list are not exposed in the table schema. Otherwise, they
# are read with BYTES type values. The default value is false.
# Corresponds to the JSON property `ignoreUnspecifiedColumnFamilies`
# @return [Boolean]
attr_accessor :ignore_unspecified_column_families
alias_method :ignore_unspecified_column_families?, :ignore_unspecified_column_families
# [Optional] If field is true, then the rowkey column families will be read and
# converted to string. Otherwise they are read with BYTES type values and users
# need to manually cast them with CAST if necessary. The default value is false.
# Corresponds to the JSON property `readRowkeyAsString`
# @return [Boolean]
attr_accessor :read_rowkey_as_string
alias_method :read_rowkey_as_string?, :read_rowkey_as_string
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@column_families = args[:column_families] if args.key?(:column_families)
@ignore_unspecified_column_families = args[:ignore_unspecified_column_families] if args.key?(:ignore_unspecified_column_families)
@read_rowkey_as_string = args[:read_rowkey_as_string] if args.key?(:read_rowkey_as_string)
end
end
# Evaluation metrics for binary classification/classifier models.
class BinaryClassificationMetrics
include Google::Apis::Core::Hashable
# Aggregate metrics for classification/classifier models. For multi-class
# models, the metrics are either macro-averaged or micro-averaged. When
# macro-averaged, the metrics are calculated for each label and then an
# unweighted average is taken of those values. When micro-averaged, the
# metric is calculated globally by counting the total number of correctly
# predicted rows.
# Corresponds to the JSON property `aggregateClassificationMetrics`
# @return [Google::Apis::BigqueryV2::AggregateClassificationMetrics]
attr_accessor :aggregate_classification_metrics
# Binary confusion matrix at multiple thresholds.
# Corresponds to the JSON property `binaryConfusionMatrixList`
# @return [Array<Google::Apis::BigqueryV2::BinaryConfusionMatrix>]
attr_accessor :binary_confusion_matrix_list
# Label representing the negative class.
# Corresponds to the JSON property `negativeLabel`
# @return [String]
attr_accessor :negative_label
# Label representing the positive class.
# Corresponds to the JSON property `positiveLabel`
# @return [String]
attr_accessor :positive_label
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@aggregate_classification_metrics = args[:aggregate_classification_metrics] if args.key?(:aggregate_classification_metrics)
@binary_confusion_matrix_list = args[:binary_confusion_matrix_list] if args.key?(:binary_confusion_matrix_list)
@negative_label = args[:negative_label] if args.key?(:negative_label)
@positive_label = args[:positive_label] if args.key?(:positive_label)
end
end
# Confusion matrix for binary classification models.
class BinaryConfusionMatrix
include Google::Apis::Core::Hashable
# The fraction of predictions given the correct label.
# Corresponds to the JSON property `accuracy`
# @return [Float]
attr_accessor :accuracy
# The equally weighted average of recall and precision.
# Corresponds to the JSON property `f1Score`
# @return [Float]
attr_accessor :f1_score
# Number of false samples predicted as false.
# Corresponds to the JSON property `falseNegatives`
# @return [Fixnum]
attr_accessor :false_negatives
# Number of false samples predicted as true.
# Corresponds to the JSON property `falsePositives`
# @return [Fixnum]
attr_accessor :false_positives
# Threshold value used when computing each of the following metric.
# Corresponds to the JSON property `positiveClassThreshold`
# @return [Float]
attr_accessor :positive_class_threshold
# The fraction of actual positive predictions that had positive actual
# labels.
# Corresponds to the JSON property `precision`
# @return [Float]
attr_accessor :precision
# The fraction of actual positive labels that were given a positive
# prediction.
# Corresponds to the JSON property `recall`
# @return [Float]
attr_accessor :recall
# Number of true samples predicted as false.
# Corresponds to the JSON property `trueNegatives`
# @return [Fixnum]
attr_accessor :true_negatives
# Number of true samples predicted as true.
# Corresponds to the JSON property `truePositives`
# @return [Fixnum]
attr_accessor :true_positives
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@accuracy = args[:accuracy] if args.key?(:accuracy)
@f1_score = args[:f1_score] if args.key?(:f1_score)
@false_negatives = args[:false_negatives] if args.key?(:false_negatives)
@false_positives = args[:false_positives] if args.key?(:false_positives)
@positive_class_threshold = args[:positive_class_threshold] if args.key?(:positive_class_threshold)
@precision = args[:precision] if args.key?(:precision)
@recall = args[:recall] if args.key?(:recall)
@true_negatives = args[:true_negatives] if args.key?(:true_negatives)
@true_positives = args[:true_positives] if args.key?(:true_positives)
end
end
#
class BqmlIterationResult
include Google::Apis::Core::Hashable
# [Output-only, Beta] Time taken to run the training iteration in milliseconds.
# Corresponds to the JSON property `durationMs`
# @return [Fixnum]
attr_accessor :duration_ms
# [Output-only, Beta] Eval loss computed on the eval data at the end of the
# iteration. The eval loss is used for early stopping to avoid overfitting. No
# eval loss if eval_split_method option is specified as no_split or auto_split
# with input data size less than 500 rows.
# Corresponds to the JSON property `evalLoss`
# @return [Float]
attr_accessor :eval_loss
# [Output-only, Beta] Index of the ML training iteration, starting from zero for
# each training run.
# Corresponds to the JSON property `index`
# @return [Fixnum]
attr_accessor :index
# [Output-only, Beta] Learning rate used for this iteration, it varies for
# different training iterations if learn_rate_strategy option is not constant.
# Corresponds to the JSON property `learnRate`
# @return [Float]
attr_accessor :learn_rate
# [Output-only, Beta] Training loss computed on the training data at the end of
# the iteration. The training loss function is defined by model type.
# Corresponds to the JSON property `trainingLoss`
# @return [Float]
attr_accessor :training_loss
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@duration_ms = args[:duration_ms] if args.key?(:duration_ms)
@eval_loss = args[:eval_loss] if args.key?(:eval_loss)
@index = args[:index] if args.key?(:index)
@learn_rate = args[:learn_rate] if args.key?(:learn_rate)
@training_loss = args[:training_loss] if args.key?(:training_loss)
end
end
#
class BqmlTrainingRun
include Google::Apis::Core::Hashable
# [Output-only, Beta] List of each iteration results.
# Corresponds to the JSON property `iterationResults`
# @return [Array<Google::Apis::BigqueryV2::BqmlIterationResult>]
attr_accessor :iteration_results
# [Output-only, Beta] Training run start time in milliseconds since the epoch.
# Corresponds to the JSON property `startTime`
# @return [DateTime]
attr_accessor :start_time
# [Output-only, Beta] Different state applicable for a training run. IN PROGRESS:
# Training run is in progress. FAILED: Training run ended due to a non-
# retryable failure. SUCCEEDED: Training run successfully completed. CANCELLED:
# Training run cancelled by the user.
# Corresponds to the JSON property `state`
# @return [String]
attr_accessor :state
# [Output-only, Beta] Training options used by this training run. These options
# are mutable for subsequent training runs. Default values are explicitly stored
# for options not specified in the input query of the first training run. For
# subsequent training runs, any option not explicitly specified in the input
# query will be copied from the previous training run.
# Corresponds to the JSON property `trainingOptions`
# @return [Google::Apis::BigqueryV2::BqmlTrainingRun::TrainingOptions]
attr_accessor :training_options
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@iteration_results = args[:iteration_results] if args.key?(:iteration_results)
@start_time = args[:start_time] if args.key?(:start_time)
@state = args[:state] if args.key?(:state)
@training_options = args[:training_options] if args.key?(:training_options)
end
# [Output-only, Beta] Training options used by this training run. These options
# are mutable for subsequent training runs. Default values are explicitly stored
# for options not specified in the input query of the first training run. For
# subsequent training runs, any option not explicitly specified in the input
# query will be copied from the previous training run.
class TrainingOptions
include Google::Apis::Core::Hashable
#
# Corresponds to the JSON property `earlyStop`
# @return [Boolean]
attr_accessor :early_stop
alias_method :early_stop?, :early_stop
#
# Corresponds to the JSON property `l1Reg`
# @return [Float]
attr_accessor :l1_reg
#
# Corresponds to the JSON property `l2Reg`
# @return [Float]
attr_accessor :l2_reg
#
# Corresponds to the JSON property `learnRate`
# @return [Float]
attr_accessor :learn_rate
#
# Corresponds to the JSON property `learnRateStrategy`
# @return [String]
attr_accessor :learn_rate_strategy
#
# Corresponds to the JSON property `lineSearchInitLearnRate`
# @return [Float]
attr_accessor :line_search_init_learn_rate
#
# Corresponds to the JSON property `maxIteration`
# @return [Fixnum]
attr_accessor :max_iteration
#
# Corresponds to the JSON property `minRelProgress`
# @return [Float]
attr_accessor :min_rel_progress
#
# Corresponds to the JSON property `warmStart`
# @return [Boolean]
attr_accessor :warm_start
alias_method :warm_start?, :warm_start
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@early_stop = args[:early_stop] if args.key?(:early_stop)
@l1_reg = args[:l1_reg] if args.key?(:l1_reg)
@l2_reg = args[:l2_reg] if args.key?(:l2_reg)
@learn_rate = args[:learn_rate] if args.key?(:learn_rate)
@learn_rate_strategy = args[:learn_rate_strategy] if args.key?(:learn_rate_strategy)
@line_search_init_learn_rate = args[:line_search_init_learn_rate] if args.key?(:line_search_init_learn_rate)
@max_iteration = args[:max_iteration] if args.key?(:max_iteration)
@min_rel_progress = args[:min_rel_progress] if args.key?(:min_rel_progress)
@warm_start = args[:warm_start] if args.key?(:warm_start)
end
end
end
# Representative value of a categorical feature.
class CategoricalValue
include Google::Apis::Core::Hashable
# Counts of all categories for the categorical feature. If there are
# more than ten categories, we return top ten (by count) and return
# one more CategoryCount with category "_OTHER_" and count as
# aggregate counts of remaining categories.
# Corresponds to the JSON property `categoryCounts`
# @return [Array<Google::Apis::BigqueryV2::CategoryCount>]
attr_accessor :category_counts
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@category_counts = args[:category_counts] if args.key?(:category_counts)
end
end
# Represents the count of a single category within the cluster.
class CategoryCount
include Google::Apis::Core::Hashable
# The name of category.
# Corresponds to the JSON property `category`
# @return [String]
attr_accessor :category
# The count of training samples matching the category within the
# cluster.
# Corresponds to the JSON property `count`
# @return [Fixnum]
attr_accessor :count
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@category = args[:category] if args.key?(:category)
@count = args[:count] if args.key?(:count)
end
end
# Message containing the information about one cluster.
class Cluster
include Google::Apis::Core::Hashable
# Centroid id.
# Corresponds to the JSON property `centroidId`
# @return [Fixnum]
attr_accessor :centroid_id
# Count of training data rows that were assigned to this cluster.
# Corresponds to the JSON property `count`
# @return [Fixnum]
attr_accessor :count
# Values of highly variant features for this cluster.
# Corresponds to the JSON property `featureValues`
# @return [Array<Google::Apis::BigqueryV2::FeatureValue>]
attr_accessor :feature_values
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@centroid_id = args[:centroid_id] if args.key?(:centroid_id)
@count = args[:count] if args.key?(:count)
@feature_values = args[:feature_values] if args.key?(:feature_values)
end
end
# Information about a single cluster for clustering model.
class ClusterInfo
include Google::Apis::Core::Hashable
# Centroid id.
# Corresponds to the JSON property `centroidId`
# @return [Fixnum]
attr_accessor :centroid_id
# Cluster radius, the average distance from centroid
# to each point assigned to the cluster.
# Corresponds to the JSON property `clusterRadius`
# @return [Float]
attr_accessor :cluster_radius
# Cluster size, the total number of points assigned to the cluster.
# Corresponds to the JSON property `clusterSize`
# @return [Fixnum]
attr_accessor :cluster_size
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@centroid_id = args[:centroid_id] if args.key?(:centroid_id)
@cluster_radius = args[:cluster_radius] if args.key?(:cluster_radius)
@cluster_size = args[:cluster_size] if args.key?(:cluster_size)
end
end
#
class Clustering
include Google::Apis::Core::Hashable
# [Repeated] One or more fields on which data should be clustered. Only top-
# level, non-repeated, simple-type fields are supported. When you cluster a
# table using multiple columns, the order of columns you specify is important.
# The order of the specified columns determines the sort order of the data.
# Corresponds to the JSON property `fields`
# @return [Array<String>]
attr_accessor :fields
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@fields = args[:fields] if args.key?(:fields)
end
end
# Evaluation metrics for clustering models.
class ClusteringMetrics
include Google::Apis::Core::Hashable
# [Beta] Information for all clusters.
# Corresponds to the JSON property `clusters`
# @return [Array<Google::Apis::BigqueryV2::Cluster>]
attr_accessor :clusters
# Davies-Bouldin index.
# Corresponds to the JSON property `daviesBouldinIndex`
# @return [Float]
attr_accessor :davies_bouldin_index
# Mean of squared distances between each sample to its cluster centroid.
# Corresponds to the JSON property `meanSquaredDistance`
# @return [Float]
attr_accessor :mean_squared_distance
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@clusters = args[:clusters] if args.key?(:clusters)
@davies_bouldin_index = args[:davies_bouldin_index] if args.key?(:davies_bouldin_index)
@mean_squared_distance = args[:mean_squared_distance] if args.key?(:mean_squared_distance)
end
end
# Confusion matrix for multi-class classification models.
class ConfusionMatrix
include Google::Apis::Core::Hashable
# Confidence threshold used when computing the entries of the
# confusion matrix.
# Corresponds to the JSON property `confidenceThreshold`
# @return [Float]
attr_accessor :confidence_threshold
# One row per actual label.
# Corresponds to the JSON property `rows`
# @return [Array<Google::Apis::BigqueryV2::Row>]
attr_accessor :rows
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence_threshold = args[:confidence_threshold] if args.key?(:confidence_threshold)
@rows = args[:rows] if args.key?(:rows)
end
end
#
class ConnectionProperty
include Google::Apis::Core::Hashable
# [Required] Name of the connection property to set.
# Corresponds to the JSON property `key`
# @return [String]
attr_accessor :key
# [Required] Value of the connection property.
# Corresponds to the JSON property `value`
# @return [String]
attr_accessor :value
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@key = args[:key] if args.key?(:key)
@value = args[:value] if args.key?(:value)
end
end
#
class CsvOptions
include Google::Apis::Core::Hashable
# [Optional] Indicates if BigQuery should accept rows that are missing trailing
# optional columns. If true, BigQuery treats missing trailing columns as null
# values. If false, records with missing trailing columns are treated as bad
# records, and if there are too many bad records, an invalid error is returned
# in the job result. The default value is false.
# Corresponds to the JSON property `allowJaggedRows`
# @return [Boolean]
attr_accessor :allow_jagged_rows
alias_method :allow_jagged_rows?, :allow_jagged_rows
# [Optional] Indicates if BigQuery should allow quoted data sections that
# contain newline characters in a CSV file. The default value is false.
# Corresponds to the JSON property `allowQuotedNewlines`
# @return [Boolean]
attr_accessor :allow_quoted_newlines
alias_method :allow_quoted_newlines?, :allow_quoted_newlines
# [Optional] The character encoding of the data. The supported values are UTF-8
# or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the
# raw, binary data has been split using the values of the quote and
# fieldDelimiter properties.
# Corresponds to the JSON property `encoding`
# @return [String]
attr_accessor :encoding
# [Optional] The separator for fields in a CSV file. BigQuery converts the
# string to ISO-8859-1 encoding, and then uses the first byte of the encoded
# string to split the data in its raw, binary state. BigQuery also supports the
# escape sequence "\t" to specify a tab separator. The default value is a comma (
# ',').
# Corresponds to the JSON property `fieldDelimiter`
# @return [String]
attr_accessor :field_delimiter
# [Optional] The value that is used to quote data sections in a CSV file.
# BigQuery converts the string to ISO-8859-1 encoding, and then uses the first
# byte of the encoded string to split the data in its raw, binary state. The
# default value is a double-quote ('"'). If your data does not contain quoted
# sections, set the property value to an empty string. If your data contains
# quoted newline characters, you must also set the allowQuotedNewlines property
# to true.
# Corresponds to the JSON property `quote`
# @return [String]
attr_accessor :quote
# [Optional] The number of rows at the top of a CSV file that BigQuery will skip
# when reading the data. The default value is 0. This property is useful if you
# have header rows in the file that should be skipped. When autodetect is on,
# the behavior is the following: * skipLeadingRows unspecified - Autodetect
# tries to detect headers in the first row. If they are not detected, the row is
# read as data. Otherwise data is read starting from the second row. *
# skipLeadingRows is 0 - Instructs autodetect that there are no headers and data
# should be read starting from the first row. * skipLeadingRows = N > 0 -
# Autodetect skips N-1 rows and tries to detect headers in row N. If headers are
# not detected, row N is just skipped. Otherwise row N is used to extract column
# names for the detected schema.
# Corresponds to the JSON property `skipLeadingRows`
# @return [Fixnum]
attr_accessor :skip_leading_rows
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@allow_jagged_rows = args[:allow_jagged_rows] if args.key?(:allow_jagged_rows)
@allow_quoted_newlines = args[:allow_quoted_newlines] if args.key?(:allow_quoted_newlines)
@encoding = args[:encoding] if args.key?(:encoding)
@field_delimiter = args[:field_delimiter] if args.key?(:field_delimiter)
@quote = args[:quote] if args.key?(:quote)
@skip_leading_rows = args[:skip_leading_rows] if args.key?(:skip_leading_rows)
end
end
# Data split result. This contains references to the training and evaluation
# data tables that were used to train the model.
class DataSplitResult
include Google::Apis::Core::Hashable
# Table reference of the evaluation data after split.
# Corresponds to the JSON property `evaluationTable`
# @return [Google::Apis::BigqueryV2::TableReference]
attr_accessor :evaluation_table
# Table reference of the training data after split.
# Corresponds to the JSON property `trainingTable`
# @return [Google::Apis::BigqueryV2::TableReference]
attr_accessor :training_table
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@evaluation_table = args[:evaluation_table] if args.key?(:evaluation_table)
@training_table = args[:training_table] if args.key?(:training_table)
end
end
#
class Dataset
include Google::Apis::Core::Hashable
# [Optional] An array of objects that define dataset access for one or more
# entities. You can set this property when inserting or updating a dataset in
# order to control who is allowed to access the data. If unspecified at dataset
# creation time, BigQuery adds default dataset access for the following entities:
# access.specialGroup: projectReaders; access.role: READER; access.specialGroup:
# projectWriters; access.role: WRITER; access.specialGroup: projectOwners;
# access.role: OWNER; access.userByEmail: [dataset creator email]; access.role:
# OWNER;
# Corresponds to the JSON property `access`
# @return [Array<Google::Apis::BigqueryV2::Dataset::Access>]
attr_accessor :access
# [Output-only] The time when this dataset was created, in milliseconds since
# the epoch.
# Corresponds to the JSON property `creationTime`
# @return [Fixnum]
attr_accessor :creation_time
# [Required] A reference that identifies the dataset.
# Corresponds to the JSON property `datasetReference`
# @return [Google::Apis::BigqueryV2::DatasetReference]
attr_accessor :dataset_reference
#
# Corresponds to the JSON property `defaultEncryptionConfiguration`
# @return [Google::Apis::BigqueryV2::EncryptionConfiguration]
attr_accessor :default_encryption_configuration
# [Optional] The default partition expiration for all partitioned tables in the
# dataset, in milliseconds. Once this property is set, all newly-created
# partitioned tables in the dataset will have an expirationMs property in the
# timePartitioning settings set to this value, and changing the value will only
# affect new tables, not existing ones. The storage in a partition will have an
# expiration time of its partition time plus this value. Setting this property
# overrides the use of defaultTableExpirationMs for partitioned tables: only one
# of defaultTableExpirationMs and defaultPartitionExpirationMs will be used for
# any new partitioned table. If you provide an explicit timePartitioning.
# expirationMs when creating or updating a partitioned table, that value takes
# precedence over the default partition expiration time indicated by this
# property.
# Corresponds to the JSON property `defaultPartitionExpirationMs`
# @return [Fixnum]
attr_accessor :default_partition_expiration_ms
# [Optional] The default lifetime of all tables in the dataset, in milliseconds.
# The minimum value is 3600000 milliseconds (one hour). Once this property is
# set, all newly-created tables in the dataset will have an expirationTime
# property set to the creation time plus the value in this property, and
# changing the value will only affect new tables, not existing ones. When the
# expirationTime for a given table is reached, that table will be deleted
# automatically. If a table's expirationTime is modified or removed before the
# table expires, or if you provide an explicit expirationTime when creating a
# table, that value takes precedence over the default expiration time indicated
# by this property.
# Corresponds to the JSON property `defaultTableExpirationMs`
# @return [Fixnum]
attr_accessor :default_table_expiration_ms
# [Optional] A user-friendly description of the dataset.
# Corresponds to the JSON property `description`
# @return [String]
attr_accessor :description
# [Output-only] A hash of the resource.
# Corresponds to the JSON property `etag`
# @return [String]
attr_accessor :etag
# [Optional] A descriptive name for the dataset.
# Corresponds to the JSON property `friendlyName`
# @return [String]
attr_accessor :friendly_name
# [Output-only] The fully-qualified unique name of the dataset in the format
# projectId:datasetId. The dataset name without the project name is given in the
# datasetId field. When creating a new dataset, leave this field blank, and
# instead specify the datasetId field.
# Corresponds to the JSON property `id`
# @return [String]
attr_accessor :id
# [Output-only] The resource type.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# The labels associated with this dataset. You can use these to organize and
# group your datasets. You can set this property when inserting or updating a
# dataset. See Creating and Updating Dataset Labels for more information.
# Corresponds to the JSON property `labels`
# @return [Hash<String,String>]
attr_accessor :labels
# [Output-only] The date when this dataset or any of its tables was last
# modified, in milliseconds since the epoch.
# Corresponds to the JSON property `lastModifiedTime`
# @return [Fixnum]
attr_accessor :last_modified_time
# The geographic location where the dataset should reside. The default value is
# US. See details at https://cloud.google.com/bigquery/docs/locations.
# Corresponds to the JSON property `location`
# @return [String]
attr_accessor :location
# [Output-only] A URL that can be used to access the resource again. You can use
# this URL in Get or Update requests to the resource.
# Corresponds to the JSON property `selfLink`
# @return [String]
attr_accessor :self_link
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@access = args[:access] if args.key?(:access)
@creation_time = args[:creation_time] if args.key?(:creation_time)
@dataset_reference = args[:dataset_reference] if args.key?(:dataset_reference)
@default_encryption_configuration = args[:default_encryption_configuration] if args.key?(:default_encryption_configuration)
@default_partition_expiration_ms = args[:default_partition_expiration_ms] if args.key?(:default_partition_expiration_ms)
@default_table_expiration_ms = args[:default_table_expiration_ms] if args.key?(:default_table_expiration_ms)
@description = args[:description] if args.key?(:description)
@etag = args[:etag] if args.key?(:etag)
@friendly_name = args[:friendly_name] if args.key?(:friendly_name)
@id = args[:id] if args.key?(:id)
@kind = args[:kind] if args.key?(:kind)
@labels = args[:labels] if args.key?(:labels)
@last_modified_time = args[:last_modified_time] if args.key?(:last_modified_time)
@location = args[:location] if args.key?(:location)
@self_link = args[:self_link] if args.key?(:self_link)
end
#
class Access
include Google::Apis::Core::Hashable
# [Pick one] A domain to grant access to. Any users signed in with the domain
# specified will be granted the specified access. Example: "example.com". Maps
# to IAM policy member "domain:DOMAIN".
# Corresponds to the JSON property `domain`
# @return [String]
attr_accessor :domain
# [Pick one] An email address of a Google Group to grant access to. Maps to IAM
# policy member "group:GROUP".
# Corresponds to the JSON property `groupByEmail`
# @return [String]
attr_accessor :group_by_email
# [Pick one] Some other type of member that appears in the IAM Policy but isn't
# a user, group, domain, or special group.
# Corresponds to the JSON property `iamMember`
# @return [String]
attr_accessor :iam_member
# [Required] An IAM role ID that should be granted to the user, group, or domain
# specified in this access entry. The following legacy mappings will be applied:
# OWNER roles/bigquery.dataOwner WRITER roles/bigquery.dataEditor READER
# roles/bigquery.dataViewer This field will accept any of the above formats, but
# will return only the legacy format. For example, if you set this field to "
# roles/bigquery.dataOwner", it will be returned back as "OWNER".
# Corresponds to the JSON property `role`
# @return [String]
attr_accessor :role
# [Pick one] A special group to grant access to. Possible values include:
# projectOwners: Owners of the enclosing project. projectReaders: Readers of the
# enclosing project. projectWriters: Writers of the enclosing project.
# allAuthenticatedUsers: All authenticated BigQuery users. Maps to similarly-
# named IAM members.
# Corresponds to the JSON property `specialGroup`
# @return [String]
attr_accessor :special_group
# [Pick one] An email address of a user to grant access to. For example: fred@
# example.com. Maps to IAM policy member "user:EMAIL" or "serviceAccount:EMAIL".
# Corresponds to the JSON property `userByEmail`
# @return [String]
attr_accessor :user_by_email
# [Pick one] A view from a different dataset to grant access to. Queries
# executed against that view will have read access to tables in this dataset.
# The role field is not required when this field is set. If that view is updated
# by any user, access to the view needs to be granted again via an update
# operation.
# Corresponds to the JSON property `view`
# @return [Google::Apis::BigqueryV2::TableReference]
attr_accessor :view
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@domain = args[:domain] if args.key?(:domain)
@group_by_email = args[:group_by_email] if args.key?(:group_by_email)
@iam_member = args[:iam_member] if args.key?(:iam_member)
@role = args[:role] if args.key?(:role)
@special_group = args[:special_group] if args.key?(:special_group)
@user_by_email = args[:user_by_email] if args.key?(:user_by_email)
@view = args[:view] if args.key?(:view)
end
end
end
#
class DatasetList
include Google::Apis::Core::Hashable
# An array of the dataset resources in the project. Each resource contains basic
# information. For full information about a particular dataset resource, use the
# Datasets: get method. This property is omitted when there are no datasets in
# the project.
# Corresponds to the JSON property `datasets`
# @return [Array<Google::Apis::BigqueryV2::DatasetList::Dataset>]
attr_accessor :datasets
# A hash value of the results page. You can use this property to determine if
# the page has changed since the last request.
# Corresponds to the JSON property `etag`
# @return [String]
attr_accessor :etag
# The list type. This property always returns the value "bigquery#datasetList".
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# A token that can be used to request the next results page. This property is
# omitted on the final results page.
# Corresponds to the JSON property `nextPageToken`
# @return [String]
attr_accessor :next_page_token
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@datasets = args[:datasets] if args.key?(:datasets)
@etag = args[:etag] if args.key?(:etag)
@kind = args[:kind] if args.key?(:kind)
@next_page_token = args[:next_page_token] if args.key?(:next_page_token)
end
#
class Dataset
include Google::Apis::Core::Hashable
# The dataset reference. Use this property to access specific parts of the
# dataset's ID, such as project ID or dataset ID.
# Corresponds to the JSON property `datasetReference`
# @return [Google::Apis::BigqueryV2::DatasetReference]
attr_accessor :dataset_reference
# A descriptive name for the dataset, if one exists.
# Corresponds to the JSON property `friendlyName`
# @return [String]
attr_accessor :friendly_name
# The fully-qualified, unique, opaque ID of the dataset.
# Corresponds to the JSON property `id`
# @return [String]
attr_accessor :id
# The resource type. This property always returns the value "bigquery#dataset".
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# The labels associated with this dataset. You can use these to organize and
# group your datasets.
# Corresponds to the JSON property `labels`
# @return [Hash<String,String>]
attr_accessor :labels
# The geographic location where the data resides.
# Corresponds to the JSON property `location`
# @return [String]
attr_accessor :location
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@dataset_reference = args[:dataset_reference] if args.key?(:dataset_reference)
@friendly_name = args[:friendly_name] if args.key?(:friendly_name)
@id = args[:id] if args.key?(:id)
@kind = args[:kind] if args.key?(:kind)
@labels = args[:labels] if args.key?(:labels)
@location = args[:location] if args.key?(:location)
end
end
end
#
class DatasetReference
include Google::Apis::Core::Hashable
# [Required] A unique ID for this dataset, without the project name. The ID must
# contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The
# maximum length is 1,024 characters.
# Corresponds to the JSON property `datasetId`
# @return [String]
attr_accessor :dataset_id
# [Optional] The ID of the project containing this dataset.
# Corresponds to the JSON property `projectId`
# @return [String]
attr_accessor :project_id
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@dataset_id = args[:dataset_id] if args.key?(:dataset_id)
@project_id = args[:project_id] if args.key?(:project_id)
end
end
#
class DestinationTableProperties
include Google::Apis::Core::Hashable
# [Optional] The description for the destination table. This will only be used
# if the destination table is newly created. If the table already exists and a
# value different than the current description is provided, the job will fail.
# Corresponds to the JSON property `description`
# @return [String]
attr_accessor :description
# [Optional] The friendly name for the destination table. This will only be used
# if the destination table is newly created. If the table already exists and a
# value different than the current friendly name is provided, the job will fail.
# Corresponds to the JSON property `friendlyName`
# @return [String]
attr_accessor :friendly_name
# [Optional] The labels associated with this table. You can use these to
# organize and group your tables. This will only be used if the destination
# table is newly created. If the table already exists and labels are different
# than the current labels are provided, the job will fail.
# Corresponds to the JSON property `labels`
# @return [Hash<String,String>]
attr_accessor :labels
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@description = args[:description] if args.key?(:description)
@friendly_name = args[:friendly_name] if args.key?(:friendly_name)
@labels = args[:labels] if args.key?(:labels)
end
end
#
class EncryptionConfiguration
include Google::Apis::Core::Hashable
# [Optional] Describes the Cloud KMS encryption key that will be used to protect
# destination BigQuery table. The BigQuery Service Account associated with your
# project requires access to this encryption key.
# Corresponds to the JSON property `kmsKeyName`
# @return [String]
attr_accessor :kms_key_name
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@kms_key_name = args[:kms_key_name] if args.key?(:kms_key_name)
end
end
# A single entry in the confusion matrix.
class Entry
include Google::Apis::Core::Hashable
# Number of items being predicted as this label.
# Corresponds to the JSON property `itemCount`
# @return [Fixnum]
attr_accessor :item_count
# The predicted label. For confidence_threshold > 0, we will
# also add an entry indicating the number of items under the
# confidence threshold.
# Corresponds to the JSON property `predictedLabel`
# @return [String]
attr_accessor :predicted_label
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@item_count = args[:item_count] if args.key?(:item_count)
@predicted_label = args[:predicted_label] if args.key?(:predicted_label)
end
end
#
class ErrorProto
include Google::Apis::Core::Hashable
# Debugging information. This property is internal to Google and should not be
# used.
# Corresponds to the JSON property `debugInfo`
# @return [String]
attr_accessor :debug_info
# Specifies where the error occurred, if present.
# Corresponds to the JSON property `location`
# @return [String]
attr_accessor :location
# A human-readable description of the error.
# Corresponds to the JSON property `message`
# @return [String]
attr_accessor :message
# A short error code that summarizes the error.
# Corresponds to the JSON property `reason`
# @return [String]
attr_accessor :reason
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@debug_info = args[:debug_info] if args.key?(:debug_info)
@location = args[:location] if args.key?(:location)
@message = args[:message] if args.key?(:message)
@reason = args[:reason] if args.key?(:reason)
end
end
# Evaluation metrics of a model. These are either computed on all training
# data or just the eval data based on whether eval data was used during
# training. These are not present for imported models.
class EvaluationMetrics
include Google::Apis::Core::Hashable
# Evaluation metrics for binary classification/classifier models.
# Corresponds to the JSON property `binaryClassificationMetrics`
# @return [Google::Apis::BigqueryV2::BinaryClassificationMetrics]
attr_accessor :binary_classification_metrics
# Evaluation metrics for clustering models.
# Corresponds to the JSON property `clusteringMetrics`
# @return [Google::Apis::BigqueryV2::ClusteringMetrics]
attr_accessor :clustering_metrics
# Evaluation metrics for multi-class classification/classifier models.
# Corresponds to the JSON property `multiClassClassificationMetrics`
# @return [Google::Apis::BigqueryV2::MultiClassClassificationMetrics]
attr_accessor :multi_class_classification_metrics
# Evaluation metrics used by weighted-ALS models specified by
# feedback_type=implicit.
# Corresponds to the JSON property `rankingMetrics`
# @return [Google::Apis::BigqueryV2::RankingMetrics]
attr_accessor :ranking_metrics
# Evaluation metrics for regression and explicit feedback type matrix
# factorization models.
# Corresponds to the JSON property `regressionMetrics`
# @return [Google::Apis::BigqueryV2::RegressionMetrics]
attr_accessor :regression_metrics
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@binary_classification_metrics = args[:binary_classification_metrics] if args.key?(:binary_classification_metrics)
@clustering_metrics = args[:clustering_metrics] if args.key?(:clustering_metrics)
@multi_class_classification_metrics = args[:multi_class_classification_metrics] if args.key?(:multi_class_classification_metrics)
@ranking_metrics = args[:ranking_metrics] if args.key?(:ranking_metrics)
@regression_metrics = args[:regression_metrics] if args.key?(:regression_metrics)
end
end
#
class ExplainQueryStage
include Google::Apis::Core::Hashable
# Number of parallel input segments completed.
# Corresponds to the JSON property `completedParallelInputs`
# @return [Fixnum]
attr_accessor :completed_parallel_inputs
# Milliseconds the average shard spent on CPU-bound tasks.
# Corresponds to the JSON property `computeMsAvg`
# @return [Fixnum]
attr_accessor :compute_ms_avg
# Milliseconds the slowest shard spent on CPU-bound tasks.
# Corresponds to the JSON property `computeMsMax`
# @return [Fixnum]
attr_accessor :compute_ms_max
# Relative amount of time the average shard spent on CPU-bound tasks.
# Corresponds to the JSON property `computeRatioAvg`
# @return [Float]
attr_accessor :compute_ratio_avg
# Relative amount of time the slowest shard spent on CPU-bound tasks.
# Corresponds to the JSON property `computeRatioMax`
# @return [Float]
attr_accessor :compute_ratio_max
# Stage end time represented as milliseconds since epoch.
# Corresponds to the JSON property `endMs`
# @return [Fixnum]
attr_accessor :end_ms
# Unique ID for stage within plan.
# Corresponds to the JSON property `id`
# @return [Fixnum]
attr_accessor :id
# IDs for stages that are inputs to this stage.
# Corresponds to the JSON property `inputStages`
# @return [Array<Fixnum>]
attr_accessor :input_stages
# Human-readable name for stage.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# Number of parallel input segments to be processed.
# Corresponds to the JSON property `parallelInputs`
# @return [Fixnum]
attr_accessor :parallel_inputs
# Milliseconds the average shard spent reading input.
# Corresponds to the JSON property `readMsAvg`
# @return [Fixnum]
attr_accessor :read_ms_avg
# Milliseconds the slowest shard spent reading input.
# Corresponds to the JSON property `readMsMax`
# @return [Fixnum]
attr_accessor :read_ms_max
# Relative amount of time the average shard spent reading input.
# Corresponds to the JSON property `readRatioAvg`
# @return [Float]
attr_accessor :read_ratio_avg
# Relative amount of time the slowest shard spent reading input.
# Corresponds to the JSON property `readRatioMax`
# @return [Float]
attr_accessor :read_ratio_max
# Number of records read into the stage.
# Corresponds to the JSON property `recordsRead`
# @return [Fixnum]
attr_accessor :records_read
# Number of records written by the stage.
# Corresponds to the JSON property `recordsWritten`
# @return [Fixnum]
attr_accessor :records_written
# Total number of bytes written to shuffle.
# Corresponds to the JSON property `shuffleOutputBytes`
# @return [Fixnum]
attr_accessor :shuffle_output_bytes
# Total number of bytes written to shuffle and spilled to disk.
# Corresponds to the JSON property `shuffleOutputBytesSpilled`
# @return [Fixnum]
attr_accessor :shuffle_output_bytes_spilled
# Slot-milliseconds used by the stage.
# Corresponds to the JSON property `slotMs`
# @return [Fixnum]
attr_accessor :slot_ms
# Stage start time represented as milliseconds since epoch.
# Corresponds to the JSON property `startMs`
# @return [Fixnum]
attr_accessor :start_ms
# Current status for the stage.
# Corresponds to the JSON property `status`
# @return [String]
attr_accessor :status
# List of operations within the stage in dependency order (approximately
# chronological).
# Corresponds to the JSON property `steps`
# @return [Array<Google::Apis::BigqueryV2::ExplainQueryStep>]
attr_accessor :steps
# Milliseconds the average shard spent waiting to be scheduled.
# Corresponds to the JSON property `waitMsAvg`
# @return [Fixnum]
attr_accessor :wait_ms_avg
# Milliseconds the slowest shard spent waiting to be scheduled.
# Corresponds to the JSON property `waitMsMax`
# @return [Fixnum]
attr_accessor :wait_ms_max
# Relative amount of time the average shard spent waiting to be scheduled.
# Corresponds to the JSON property `waitRatioAvg`
# @return [Float]
attr_accessor :wait_ratio_avg
# Relative amount of time the slowest shard spent waiting to be scheduled.
# Corresponds to the JSON property `waitRatioMax`
# @return [Float]
attr_accessor :wait_ratio_max
# Milliseconds the average shard spent on writing output.
# Corresponds to the JSON property `writeMsAvg`
# @return [Fixnum]
attr_accessor :write_ms_avg
# Milliseconds the slowest shard spent on writing output.
# Corresponds to the JSON property `writeMsMax`
# @return [Fixnum]
attr_accessor :write_ms_max
# Relative amount of time the average shard spent on writing output.
# Corresponds to the JSON property `writeRatioAvg`
# @return [Float]
attr_accessor :write_ratio_avg
# Relative amount of time the slowest shard spent on writing output.
# Corresponds to the JSON property `writeRatioMax`
# @return [Float]
attr_accessor :write_ratio_max
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@completed_parallel_inputs = args[:completed_parallel_inputs] if args.key?(:completed_parallel_inputs)
@compute_ms_avg = args[:compute_ms_avg] if args.key?(:compute_ms_avg)
@compute_ms_max = args[:compute_ms_max] if args.key?(:compute_ms_max)
@compute_ratio_avg = args[:compute_ratio_avg] if args.key?(:compute_ratio_avg)
@compute_ratio_max = args[:compute_ratio_max] if args.key?(:compute_ratio_max)
@end_ms = args[:end_ms] if args.key?(:end_ms)
@id = args[:id] if args.key?(:id)
@input_stages = args[:input_stages] if args.key?(:input_stages)
@name = args[:name] if args.key?(:name)
@parallel_inputs = args[:parallel_inputs] if args.key?(:parallel_inputs)
@read_ms_avg = args[:read_ms_avg] if args.key?(:read_ms_avg)
@read_ms_max = args[:read_ms_max] if args.key?(:read_ms_max)
@read_ratio_avg = args[:read_ratio_avg] if args.key?(:read_ratio_avg)
@read_ratio_max = args[:read_ratio_max] if args.key?(:read_ratio_max)
@records_read = args[:records_read] if args.key?(:records_read)
@records_written = args[:records_written] if args.key?(:records_written)
@shuffle_output_bytes = args[:shuffle_output_bytes] if args.key?(:shuffle_output_bytes)
@shuffle_output_bytes_spilled = args[:shuffle_output_bytes_spilled] if args.key?(:shuffle_output_bytes_spilled)
@slot_ms = args[:slot_ms] if args.key?(:slot_ms)
@start_ms = args[:start_ms] if args.key?(:start_ms)
@status = args[:status] if args.key?(:status)
@steps = args[:steps] if args.key?(:steps)
@wait_ms_avg = args[:wait_ms_avg] if args.key?(:wait_ms_avg)
@wait_ms_max = args[:wait_ms_max] if args.key?(:wait_ms_max)
@wait_ratio_avg = args[:wait_ratio_avg] if args.key?(:wait_ratio_avg)
@wait_ratio_max = args[:wait_ratio_max] if args.key?(:wait_ratio_max)
@write_ms_avg = args[:write_ms_avg] if args.key?(:write_ms_avg)
@write_ms_max = args[:write_ms_max] if args.key?(:write_ms_max)
@write_ratio_avg = args[:write_ratio_avg] if args.key?(:write_ratio_avg)
@write_ratio_max = args[:write_ratio_max] if args.key?(:write_ratio_max)
end
end
#
class ExplainQueryStep
include Google::Apis::Core::Hashable
# Machine-readable operation type.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# Human-readable stage descriptions.
# Corresponds to the JSON property `substeps`
# @return [Array<String>]
attr_accessor :substeps
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@kind = args[:kind] if args.key?(:kind)
@substeps = args[:substeps] if args.key?(:substeps)
end
end
#
class ExternalDataConfiguration
include Google::Apis::Core::Hashable
# Try to detect schema and format options automatically. Any option specified
# explicitly will be honored.
# Corresponds to the JSON property `autodetect`
# @return [Boolean]
attr_accessor :autodetect
alias_method :autodetect?, :autodetect
# [Optional] Additional options if sourceFormat is set to BIGTABLE.
# Corresponds to the JSON property `bigtableOptions`
# @return [Google::Apis::BigqueryV2::BigtableOptions]
attr_accessor :bigtable_options
# [Optional] The compression type of the data source. Possible values include
# GZIP and NONE. The default value is NONE. This setting is ignored for Google
# Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
# Corresponds to the JSON property `compression`
# @return [String]
attr_accessor :compression
# Additional properties to set if sourceFormat is set to CSV.
# Corresponds to the JSON property `csvOptions`
# @return [Google::Apis::BigqueryV2::CsvOptions]
attr_accessor :csv_options
# [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
# Corresponds to the JSON property `googleSheetsOptions`
# @return [Google::Apis::BigqueryV2::GoogleSheetsOptions]
attr_accessor :google_sheets_options
# [Optional, Trusted Tester] Options to configure hive partitioning support.
# Corresponds to the JSON property `hivePartitioningOptions`
# @return [Google::Apis::BigqueryV2::HivePartitioningOptions]
attr_accessor :hive_partitioning_options
# [Optional] Indicates if BigQuery should allow extra values that are not
# represented in the table schema. If true, the extra values are ignored. If
# false, records with extra columns are treated as bad records, and if there are
# too many bad records, an invalid error is returned in the job result. The
# default value is false. The sourceFormat property determines what BigQuery
# treats as an extra value: CSV: Trailing columns JSON: Named values that don't
# match any column names Google Cloud Bigtable: This setting is ignored. Google
# Cloud Datastore backups: This setting is ignored. Avro: This setting is
# ignored.
# Corresponds to the JSON property `ignoreUnknownValues`
# @return [Boolean]
attr_accessor :ignore_unknown_values
alias_method :ignore_unknown_values?, :ignore_unknown_values
# [Optional] The maximum number of bad records that BigQuery can ignore when
# reading data. If the number of bad records exceeds this value, an invalid
# error is returned in the job result. This is only valid for CSV, JSON, and
# Google Sheets. The default value is 0, which requires that all records are
# valid. This setting is ignored for Google Cloud Bigtable, Google Cloud
# Datastore backups and Avro formats.
# Corresponds to the JSON property `maxBadRecords`
# @return [Fixnum]
attr_accessor :max_bad_records
# [Optional] The schema for the data. Schema is required for CSV and JSON
# formats. Schema is disallowed for Google Cloud Bigtable, Cloud Datastore
# backups, and Avro formats.
# Corresponds to the JSON property `schema`
# @return [Google::Apis::BigqueryV2::TableSchema]
attr_accessor :schema
# [Required] The data format. For CSV files, specify "CSV". For Google sheets,
# specify "GOOGLE_SHEETS". For newline-delimited JSON, specify "
# NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud
# Datastore backups, specify "DATASTORE_BACKUP". [Beta] For Google Cloud
# Bigtable, specify "BIGTABLE".
# Corresponds to the JSON property `sourceFormat`
# @return [String]
attr_accessor :source_format
# [Required] The fully-qualified URIs that point to your data in Google Cloud.
# For Google Cloud Storage URIs: Each URI can contain one '*' wildcard character
# and it must come after the 'bucket' name. Size limits related to load jobs
# apply to external data sources. For Google Cloud Bigtable URIs: Exactly one
# URI can be specified and it has be a fully specified and valid HTTPS URL for a
# Google Cloud Bigtable table. For Google Cloud Datastore backups, exactly one
# URI can be specified. Also, the '*' wildcard character is not allowed.
# Corresponds to the JSON property `sourceUris`
# @return [Array<String>]
attr_accessor :source_uris
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@autodetect = args[:autodetect] if args.key?(:autodetect)
@bigtable_options = args[:bigtable_options] if args.key?(:bigtable_options)
@compression = args[:compression] if args.key?(:compression)
@csv_options = args[:csv_options] if args.key?(:csv_options)
@google_sheets_options = args[:google_sheets_options] if args.key?(:google_sheets_options)
@hive_partitioning_options = args[:hive_partitioning_options] if args.key?(:hive_partitioning_options)
@ignore_unknown_values = args[:ignore_unknown_values] if args.key?(:ignore_unknown_values)
@max_bad_records = args[:max_bad_records] if args.key?(:max_bad_records)
@schema = args[:schema] if args.key?(:schema)
@source_format = args[:source_format] if args.key?(:source_format)
@source_uris = args[:source_uris] if args.key?(:source_uris)
end
end
# Representative value of a single feature within the cluster.
class FeatureValue
include Google::Apis::Core::Hashable
# Representative value of a categorical feature.
# Corresponds to the JSON property `categoricalValue`
# @return [Google::Apis::BigqueryV2::CategoricalValue]
attr_accessor :categorical_value
# The feature column name.
# Corresponds to the JSON property `featureColumn`
# @return [String]
attr_accessor :feature_column
# The numerical feature value. This is the centroid value for this
# feature.
# Corresponds to the JSON property `numericalValue`
# @return [Float]
attr_accessor :numerical_value
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@categorical_value = args[:categorical_value] if args.key?(:categorical_value)
@feature_column = args[:feature_column] if args.key?(:feature_column)
@numerical_value = args[:numerical_value] if args.key?(:numerical_value)
end
end
#
class GetQueryResultsResponse
include Google::Apis::Core::Hashable
# Whether the query result was fetched from the query cache.
# Corresponds to the JSON property `cacheHit`
# @return [Boolean]
attr_accessor :cache_hit
alias_method :cache_hit?, :cache_hit
# [Output-only] The first errors or warnings encountered during the running of
# the job. The final message includes the number of errors that caused the
# process to stop. Errors here do not necessarily mean that the job has
# completed or was unsuccessful.
# Corresponds to the JSON property `errors`
# @return [Array<Google::Apis::BigqueryV2::ErrorProto>]
attr_accessor :errors
# A hash of this response.
# Corresponds to the JSON property `etag`
# @return [String]
attr_accessor :etag
# Whether the query has completed or not. If rows or totalRows are present, this
# will always be true. If this is false, totalRows will not be available.
# Corresponds to the JSON property `jobComplete`
# @return [Boolean]
attr_accessor :job_complete
alias_method :job_complete?, :job_complete
# Reference to the BigQuery Job that was created to run the query. This field
# will be present even if the original request timed out, in which case
# GetQueryResults can be used to read the results once the query has completed.
# Since this API only returns the first page of results, subsequent pages can be
# fetched via the same mechanism (GetQueryResults).
# Corresponds to the JSON property `jobReference`
# @return [Google::Apis::BigqueryV2::JobReference]
attr_accessor :job_reference
# The resource type of the response.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# [Output-only] The number of rows affected by a DML statement. Present only for
# DML statements INSERT, UPDATE or DELETE.
# Corresponds to the JSON property `numDmlAffectedRows`
# @return [Fixnum]
attr_accessor :num_dml_affected_rows
# A token used for paging results.
# Corresponds to the JSON property `pageToken`
# @return [String]
attr_accessor :page_token
# An object with as many results as can be contained within the maximum
# permitted reply size. To get any additional rows, you can call GetQueryResults
# and specify the jobReference returned above. Present only when the query
# completes successfully.
# Corresponds to the JSON property `rows`
# @return [Array<Google::Apis::BigqueryV2::TableRow>]
attr_accessor :rows
# The schema of the results. Present only when the query completes successfully.
# Corresponds to the JSON property `schema`
# @return [Google::Apis::BigqueryV2::TableSchema]
attr_accessor :schema
# The total number of bytes processed for this query.
# Corresponds to the JSON property `totalBytesProcessed`
# @return [Fixnum]
attr_accessor :total_bytes_processed
# The total number of rows in the complete query result set, which can be more
# than the number of rows in this single page of results. Present only when the
# query completes successfully.
# Corresponds to the JSON property `totalRows`
# @return [Fixnum]
attr_accessor :total_rows
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@cache_hit = args[:cache_hit] if args.key?(:cache_hit)
@errors = args[:errors] if args.key?(:errors)
@etag = args[:etag] if args.key?(:etag)
@job_complete = args[:job_complete] if args.key?(:job_complete)
@job_reference = args[:job_reference] if args.key?(:job_reference)
@kind = args[:kind] if args.key?(:kind)
@num_dml_affected_rows = args[:num_dml_affected_rows] if args.key?(:num_dml_affected_rows)
@page_token = args[:page_token] if args.key?(:page_token)
@rows = args[:rows] if args.key?(:rows)
@schema = args[:schema] if args.key?(:schema)
@total_bytes_processed = args[:total_bytes_processed] if args.key?(:total_bytes_processed)
@total_rows = args[:total_rows] if args.key?(:total_rows)
end
end
#
class GetServiceAccountResponse
include Google::Apis::Core::Hashable
# The service account email address.
# Corresponds to the JSON property `email`
# @return [String]
attr_accessor :email
# The resource type of the response.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@email = args[:email] if args.key?(:email)
@kind = args[:kind] if args.key?(:kind)
end
end
#
class GoogleSheetsOptions
include Google::Apis::Core::Hashable
# [Optional] Range of a sheet to query from. Only used when non-empty. Typical
# format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!
# A1:B20
# Corresponds to the JSON property `range`
# @return [String]
attr_accessor :range
# [Optional] The number of rows at the top of a sheet that BigQuery will skip
# when reading the data. The default value is 0. This property is useful if you
# have header rows that should be skipped. When autodetect is on, behavior is
# the following: * skipLeadingRows unspecified - Autodetect tries to detect
# headers in the first row. If they are not detected, the row is read as data.
# Otherwise data is read starting from the second row. * skipLeadingRows is 0 -
# Instructs autodetect that there are no headers and data should be read
# starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1
# rows and tries to detect headers in row N. If headers are not detected, row N
# is just skipped. Otherwise row N is used to extract column names for the
# detected schema.
# Corresponds to the JSON property `skipLeadingRows`
# @return [Fixnum]
attr_accessor :skip_leading_rows
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@range = args[:range] if args.key?(:range)
@skip_leading_rows = args[:skip_leading_rows] if args.key?(:skip_leading_rows)
end
end
#
class HivePartitioningOptions
include Google::Apis::Core::Hashable
# [Optional, Trusted Tester] When set, what mode of hive partitioning to use
# when reading data. Two modes are supported. (1) AUTO: automatically infer
# partition key name(s) and type(s). (2) STRINGS: automatically infer partition
# key name(s). All types are interpreted as strings. Not all storage formats
# support hive partitioning. Requesting hive partitioning on an unsupported
# format will lead to an error. Currently supported types include: AVRO, CSV,
# JSON, ORC and Parquet.
# Corresponds to the JSON property `mode`
# @return [String]
attr_accessor :mode
# [Optional, Trusted Tester] When hive partition detection is requested, a
# common prefix for all source uris should be supplied. The prefix must end
# immediately before the partition key encoding begins. For example, consider
# files following this data layout. gs://bucket/path_to_table/dt=2019-01-01/
# country=BR/id=7/file.avro gs://bucket/path_to_table/dt=2018-12-31/country=CA/
# id=3/file.avro When hive partitioning is requested with either AUTO or STRINGS
# detection, the common prefix can be either of gs://bucket/path_to_table or gs:/
# /bucket/path_to_table/ (trailing slash does not matter).
# Corresponds to the JSON property `sourceUriPrefix`
# @return [String]
attr_accessor :source_uri_prefix
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@mode = args[:mode] if args.key?(:mode)
@source_uri_prefix = args[:source_uri_prefix] if args.key?(:source_uri_prefix)
end
end
# Information about a single iteration of the training run.
class IterationResult
include Google::Apis::Core::Hashable
# (Auto-)arima fitting result. Wrap everything in ArimaResult for easier
# refactoring if we want to use model-specific iteration results.
# Corresponds to the JSON property `arimaResult`
# @return [Google::Apis::BigqueryV2::ArimaResult]
attr_accessor :arima_result
# Information about top clusters for clustering models.
# Corresponds to the JSON property `clusterInfos`
# @return [Array<Google::Apis::BigqueryV2::ClusterInfo>]
attr_accessor :cluster_infos
# Time taken to run the iteration in milliseconds.
# Corresponds to the JSON property `durationMs`
# @return [Fixnum]
attr_accessor :duration_ms
# Loss computed on the eval data at the end of iteration.
# Corresponds to the JSON property `evalLoss`
# @return [Float]
attr_accessor :eval_loss
# Index of the iteration, 0 based.
# Corresponds to the JSON property `index`
# @return [Fixnum]
attr_accessor :index
# Learn rate used for this iteration.
# Corresponds to the JSON property `learnRate`
# @return [Float]
attr_accessor :learn_rate
# Loss computed on the training data at the end of iteration.
# Corresponds to the JSON property `trainingLoss`
# @return [Float]
attr_accessor :training_loss
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@arima_result = args[:arima_result] if args.key?(:arima_result)
@cluster_infos = args[:cluster_infos] if args.key?(:cluster_infos)
@duration_ms = args[:duration_ms] if args.key?(:duration_ms)
@eval_loss = args[:eval_loss] if args.key?(:eval_loss)
@index = args[:index] if args.key?(:index)
@learn_rate = args[:learn_rate] if args.key?(:learn_rate)
@training_loss = args[:training_loss] if args.key?(:training_loss)
end
end
#
class Job
include Google::Apis::Core::Hashable
# [Required] Describes the job configuration.
# Corresponds to the JSON property `configuration`
# @return [Google::Apis::BigqueryV2::JobConfiguration]
attr_accessor :configuration
# [Output-only] A hash of this resource.
# Corresponds to the JSON property `etag`
# @return [String]
attr_accessor :etag
# [Output-only] Opaque ID field of the job
# Corresponds to the JSON property `id`
# @return [String]
attr_accessor :id
# [Optional] Reference describing the unique-per-user name of the job.
# Corresponds to the JSON property `jobReference`
# @return [Google::Apis::BigqueryV2::JobReference]
attr_accessor :job_reference
# [Output-only] The type of the resource.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# [Output-only] A URL that can be used to access this resource again.
# Corresponds to the JSON property `selfLink`
# @return [String]
attr_accessor :self_link
# [Output-only] Information about the job, including starting time and ending
# time of the job.
# Corresponds to the JSON property `statistics`
# @return [Google::Apis::BigqueryV2::JobStatistics]
attr_accessor :statistics
# [Output-only] The status of this job. Examine this value when polling an
# asynchronous job to see if the job is complete.
# Corresponds to the JSON property `status`
# @return [Google::Apis::BigqueryV2::JobStatus]
attr_accessor :status
# [Output-only] Email address of the user who ran the job.
# Corresponds to the JSON property `user_email`
# @return [String]
attr_accessor :user_email
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@configuration = args[:configuration] if args.key?(:configuration)
@etag = args[:etag] if args.key?(:etag)
@id = args[:id] if args.key?(:id)
@job_reference = args[:job_reference] if args.key?(:job_reference)
@kind = args[:kind] if args.key?(:kind)
@self_link = args[:self_link] if args.key?(:self_link)
@statistics = args[:statistics] if args.key?(:statistics)
@status = args[:status] if args.key?(:status)
@user_email = args[:user_email] if args.key?(:user_email)
end
end
#
class CancelJobResponse
include Google::Apis::Core::Hashable
# The final state of the job.
# Corresponds to the JSON property `job`
# @return [Google::Apis::BigqueryV2::Job]
attr_accessor :job
# The resource type of the response.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@job = args[:job] if args.key?(:job)
@kind = args[:kind] if args.key?(:kind)
end
end
#
class JobConfiguration
include Google::Apis::Core::Hashable
# [Pick one] Copies a table.
# Corresponds to the JSON property `copy`
# @return [Google::Apis::BigqueryV2::JobConfigurationTableCopy]
attr_accessor :copy
# [Optional] If set, don't actually run this job. A valid query will return a
# mostly empty response with some processing statistics, while an invalid query
# will return the same error it would if it wasn't a dry run. Behavior of non-
# query jobs is undefined.
# Corresponds to the JSON property `dryRun`
# @return [Boolean]
attr_accessor :dry_run
alias_method :dry_run?, :dry_run
# [Pick one] Configures an extract job.
# Corresponds to the JSON property `extract`
# @return [Google::Apis::BigqueryV2::JobConfigurationExtract]
attr_accessor :extract
# [Optional] Job timeout in milliseconds. If this time limit is exceeded,
# BigQuery may attempt to terminate the job.
# Corresponds to the JSON property `jobTimeoutMs`
# @return [Fixnum]
attr_accessor :job_timeout_ms
# [Output-only] The type of the job. Can be QUERY, LOAD, EXTRACT, COPY or
# UNKNOWN.
# Corresponds to the JSON property `jobType`
# @return [String]
attr_accessor :job_type
# The labels associated with this job. You can use these to organize and group
# your jobs. Label keys and values can be no longer than 63 characters, can only
# contain lowercase letters, numeric characters, underscores and dashes.
# International characters are allowed. Label values are optional. Label keys
# must start with a letter and each label in the list must have a different key.
# Corresponds to the JSON property `labels`
# @return [Hash<String,String>]
attr_accessor :labels
# [Pick one] Configures a load job.
# Corresponds to the JSON property `load`
# @return [Google::Apis::BigqueryV2::JobConfigurationLoad]
attr_accessor :load
# [Pick one] Configures a query job.
# Corresponds to the JSON property `query`
# @return [Google::Apis::BigqueryV2::JobConfigurationQuery]
attr_accessor :query
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@copy = args[:copy] if args.key?(:copy)
@dry_run = args[:dry_run] if args.key?(:dry_run)
@extract = args[:extract] if args.key?(:extract)
@job_timeout_ms = args[:job_timeout_ms] if args.key?(:job_timeout_ms)
@job_type = args[:job_type] if args.key?(:job_type)
@labels = args[:labels] if args.key?(:labels)
@load = args[:load] if args.key?(:load)
@query = args[:query] if args.key?(:query)
end
end
#
class JobConfigurationExtract
include Google::Apis::Core::Hashable
# [Optional] The compression type to use for exported files. Possible values
# include GZIP, DEFLATE, SNAPPY, and NONE. The default value is NONE. DEFLATE
# and SNAPPY are only supported for Avro. Not applicable when extracting models.
# Corresponds to the JSON property `compression`
# @return [String]
attr_accessor :compression
# [Optional] The exported file format. Possible values include CSV,
# NEWLINE_DELIMITED_JSON or AVRO for tables and ML_TF_SAVED_MODEL or
# ML_XGBOOST_BOOSTER for models. The default value for tables is CSV. Tables
# with nested or repeated fields cannot be exported as CSV. The default value
# for models is ML_TF_SAVED_MODEL.
# Corresponds to the JSON property `destinationFormat`
# @return [String]
attr_accessor :destination_format
# [Pick one] DEPRECATED: Use destinationUris instead, passing only one URI as
# necessary. The fully-qualified Google Cloud Storage URI where the extracted
# table should be written.
# Corresponds to the JSON property `destinationUri`
# @return [String]
attr_accessor :destination_uri
# [Pick one] A list of fully-qualified Google Cloud Storage URIs where the
# extracted table should be written.
# Corresponds to the JSON property `destinationUris`
# @return [Array<String>]
attr_accessor :destination_uris
# [Optional] Delimiter to use between fields in the exported data. Default is ','
# . Not applicable when extracting models.
# Corresponds to the JSON property `fieldDelimiter`
# @return [String]
attr_accessor :field_delimiter
# [Optional] Whether to print out a header row in the results. Default is true.
# Not applicable when extracting models.
# Corresponds to the JSON property `printHeader`
# @return [Boolean]
attr_accessor :print_header
alias_method :print_header?, :print_header
# A reference to the model being exported.
# Corresponds to the JSON property `sourceModel`
# @return [Google::Apis::BigqueryV2::ModelReference]
attr_accessor :source_model
# A reference to the table being exported.
# Corresponds to the JSON property `sourceTable`
# @return [Google::Apis::BigqueryV2::TableReference]
attr_accessor :source_table
# [Optional] If destinationFormat is set to "AVRO", this flag indicates whether
# to enable extracting applicable column types (such as TIMESTAMP) to their
# corresponding AVRO logical types (timestamp-micros), instead of only using
# their raw types (avro-long). Not applicable when extracting models.
# Corresponds to the JSON property `useAvroLogicalTypes`
# @return [Boolean]
attr_accessor :use_avro_logical_types
alias_method :use_avro_logical_types?, :use_avro_logical_types
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@compression = args[:compression] if args.key?(:compression)
@destination_format = args[:destination_format] if args.key?(:destination_format)
@destination_uri = args[:destination_uri] if args.key?(:destination_uri)
@destination_uris = args[:destination_uris] if args.key?(:destination_uris)
@field_delimiter = args[:field_delimiter] if args.key?(:field_delimiter)
@print_header = args[:print_header] if args.key?(:print_header)
@source_model = args[:source_model] if args.key?(:source_model)
@source_table = args[:source_table] if args.key?(:source_table)
@use_avro_logical_types = args[:use_avro_logical_types] if args.key?(:use_avro_logical_types)
end
end
#
class JobConfigurationLoad
include Google::Apis::Core::Hashable
# [Optional] Accept rows that are missing trailing optional columns. The missing
# values are treated as nulls. If false, records with missing trailing columns
# are treated as bad records, and if there are too many bad records, an invalid
# error is returned in the job result. The default value is false. Only
# applicable to CSV, ignored for other formats.
# Corresponds to the JSON property `allowJaggedRows`
# @return [Boolean]
attr_accessor :allow_jagged_rows
alias_method :allow_jagged_rows?, :allow_jagged_rows
# Indicates if BigQuery should allow quoted data sections that contain newline
# characters in a CSV file. The default value is false.
# Corresponds to the JSON property `allowQuotedNewlines`
# @return [Boolean]
attr_accessor :allow_quoted_newlines
alias_method :allow_quoted_newlines?, :allow_quoted_newlines
# [Optional] Indicates if we should automatically infer the options and schema
# for CSV and JSON sources.
# Corresponds to the JSON property `autodetect`
# @return [Boolean]
attr_accessor :autodetect
alias_method :autodetect?, :autodetect
# [Beta] Clustering specification for the destination table. Must be specified
# with time-based partitioning, data in the table will be first partitioned and
# subsequently clustered.
# Corresponds to the JSON property `clustering`
# @return [Google::Apis::BigqueryV2::Clustering]
attr_accessor :clustering
# [Optional] Specifies whether the job is allowed to create new tables. The
# following values are supported: CREATE_IF_NEEDED: If the table does not exist,
# BigQuery creates the table. CREATE_NEVER: The table must already exist. If it
# does not, a 'notFound' error is returned in the job result. The default value
# is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one
# atomic update upon job completion.
# Corresponds to the JSON property `createDisposition`
# @return [String]
attr_accessor :create_disposition
# Custom encryption configuration (e.g., Cloud KMS keys).
# Corresponds to the JSON property `destinationEncryptionConfiguration`
# @return [Google::Apis::BigqueryV2::EncryptionConfiguration]
attr_accessor :destination_encryption_configuration
# [Required] The destination table to load the data into.
# Corresponds to the JSON property `destinationTable`
# @return [Google::Apis::BigqueryV2::TableReference]
attr_accessor :destination_table
# [Beta] [Optional] Properties with which to create the destination table if it
# is new.
# Corresponds to the JSON property `destinationTableProperties`
# @return [Google::Apis::BigqueryV2::DestinationTableProperties]
attr_accessor :destination_table_properties
# [Optional] The character encoding of the data. The supported values are UTF-8
# or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the
# raw, binary data has been split using the values of the quote and
# fieldDelimiter properties.
# Corresponds to the JSON property `encoding`
# @return [String]
attr_accessor :encoding
# [Optional] The separator for fields in a CSV file. The separator can be any
# ISO-8859-1 single-byte character. To use a character in the range 128-255, you
# must encode the character as UTF8. BigQuery converts the string to ISO-8859-1
# encoding, and then uses the first byte of the encoded string to split the data
# in its raw, binary state. BigQuery also supports the escape sequence "\t" to
# specify a tab separator. The default value is a comma (',').
# Corresponds to the JSON property `fieldDelimiter`
# @return [String]
attr_accessor :field_delimiter
# [Optional, Trusted Tester] Options to configure hive partitioning support.
# Corresponds to the JSON property `hivePartitioningOptions`
# @return [Google::Apis::BigqueryV2::HivePartitioningOptions]
attr_accessor :hive_partitioning_options
# [Optional] Indicates if BigQuery should allow extra values that are not
# represented in the table schema. If true, the extra values are ignored. If
# false, records with extra columns are treated as bad records, and if there are
# too many bad records, an invalid error is returned in the job result. The
# default value is false. The sourceFormat property determines what BigQuery
# treats as an extra value: CSV: Trailing columns JSON: Named values that don't
# match any column names
# Corresponds to the JSON property `ignoreUnknownValues`
# @return [Boolean]
attr_accessor :ignore_unknown_values
alias_method :ignore_unknown_values?, :ignore_unknown_values
# [Optional] The maximum number of bad records that BigQuery can ignore when
# running the job. If the number of bad records exceeds this value, an invalid
# error is returned in the job result. This is only valid for CSV and JSON. The
# default value is 0, which requires that all records are valid.
# Corresponds to the JSON property `maxBadRecords`
# @return [Fixnum]
attr_accessor :max_bad_records
# [Optional] Specifies a string that represents a null value in a CSV file. For
# example, if you specify "\N", BigQuery interprets "\N" as a null value when
# loading a CSV file. The default value is the empty string. If you set this
# property to a custom value, BigQuery throws an error if an empty string is
# present for all data types except for STRING and BYTE. For STRING and BYTE
# columns, BigQuery interprets the empty string as an empty value.
# Corresponds to the JSON property `nullMarker`
# @return [String]
attr_accessor :null_marker
# If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity
# properties to load into BigQuery from a Cloud Datastore backup. Property names
# are case sensitive and must be top-level properties. If no properties are
# specified, BigQuery loads all properties. If any named property isn't found in
# the Cloud Datastore backup, an invalid error is returned in the job result.
# Corresponds to the JSON property `projectionFields`
# @return [Array<String>]
attr_accessor :projection_fields
# [Optional] The value that is used to quote data sections in a CSV file.
# BigQuery converts the string to ISO-8859-1 encoding, and then uses the first
# byte of the encoded string to split the data in its raw, binary state. The
# default value is a double-quote ('"'). If your data does not contain quoted
# sections, set the property value to an empty string. If your data contains
# quoted newline characters, you must also set the allowQuotedNewlines property
# to true.
# Corresponds to the JSON property `quote`
# @return [String]
attr_accessor :quote
# [TrustedTester] Range partitioning specification for this table. Only one of
# timePartitioning and rangePartitioning should be specified.
# Corresponds to the JSON property `rangePartitioning`
# @return [Google::Apis::BigqueryV2::RangePartitioning]
attr_accessor :range_partitioning
# [Optional] The schema for the destination table. The schema can be omitted if
# the destination table already exists, or if you're loading data from Google
# Cloud Datastore.
# Corresponds to the JSON property `schema`
# @return [Google::Apis::BigqueryV2::TableSchema]
attr_accessor :schema
# [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,
# Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".
# Corresponds to the JSON property `schemaInline`
# @return [String]
attr_accessor :schema_inline
# [Deprecated] The format of the schemaInline property.
# Corresponds to the JSON property `schemaInlineFormat`
# @return [String]
attr_accessor :schema_inline_format
# Allows the schema of the destination table to be updated as a side effect of
# the load job if a schema is autodetected or supplied in the job configuration.
# Schema update options are supported in two cases: when writeDisposition is
# WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination
# table is a partition of a table, specified by partition decorators. For normal
# tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the
# following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable
# field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field
# in the original schema to nullable.
# Corresponds to the JSON property `schemaUpdateOptions`
# @return [Array<String>]
attr_accessor :schema_update_options
# [Optional] The number of rows at the top of a CSV file that BigQuery will skip
# when loading the data. The default value is 0. This property is useful if you
# have header rows in the file that should be skipped.
# Corresponds to the JSON property `skipLeadingRows`
# @return [Fixnum]
attr_accessor :skip_leading_rows
# [Optional] The format of the data files. For CSV files, specify "CSV". For
# datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON,
# specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet,
# specify "PARQUET". For orc, specify "ORC". The default value is CSV.
# Corresponds to the JSON property `sourceFormat`
# @return [String]
attr_accessor :source_format
# [Required] The fully-qualified URIs that point to your data in Google Cloud.
# For Google Cloud Storage URIs: Each URI can contain one '*' wildcard character
# and it must come after the 'bucket' name. Size limits related to load jobs
# apply to external data sources. For Google Cloud Bigtable URIs: Exactly one
# URI can be specified and it has be a fully specified and valid HTTPS URL for a
# Google Cloud Bigtable table. For Google Cloud Datastore backups: Exactly one
# URI can be specified. Also, the '*' wildcard character is not allowed.
# Corresponds to the JSON property `sourceUris`
# @return [Array<String>]
attr_accessor :source_uris
# Time-based partitioning specification for the destination table. Only one of
# timePartitioning and rangePartitioning should be specified.
# Corresponds to the JSON property `timePartitioning`
# @return [Google::Apis::BigqueryV2::TimePartitioning]
attr_accessor :time_partitioning
# [Optional] If sourceFormat is set to "AVRO", indicates whether to enable
# interpreting logical types into their corresponding types (ie. TIMESTAMP),
# instead of only using their raw types (ie. INTEGER).
# Corresponds to the JSON property `useAvroLogicalTypes`
# @return [Boolean]
attr_accessor :use_avro_logical_types
alias_method :use_avro_logical_types?, :use_avro_logical_types
# [Optional] Specifies the action that occurs if the destination table already
# exists. The following values are supported: WRITE_TRUNCATE: If the table
# already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table
# already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the
# table already exists and contains data, a 'duplicate' error is returned in the
# job result. The default value is WRITE_APPEND. Each action is atomic and only
# occurs if BigQuery is able to complete the job successfully. Creation,
# truncation and append actions occur as one atomic update upon job completion.
# Corresponds to the JSON property `writeDisposition`
# @return [String]
attr_accessor :write_disposition
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@allow_jagged_rows = args[:allow_jagged_rows] if args.key?(:allow_jagged_rows)
@allow_quoted_newlines = args[:allow_quoted_newlines] if args.key?(:allow_quoted_newlines)
@autodetect = args[:autodetect] if args.key?(:autodetect)
@clustering = args[:clustering] if args.key?(:clustering)
@create_disposition = args[:create_disposition] if args.key?(:create_disposition)
@destination_encryption_configuration = args[:destination_encryption_configuration] if args.key?(:destination_encryption_configuration)
@destination_table = args[:destination_table] if args.key?(:destination_table)
@destination_table_properties = args[:destination_table_properties] if args.key?(:destination_table_properties)
@encoding = args[:encoding] if args.key?(:encoding)
@field_delimiter = args[:field_delimiter] if args.key?(:field_delimiter)
@hive_partitioning_options = args[:hive_partitioning_options] if args.key?(:hive_partitioning_options)
@ignore_unknown_values = args[:ignore_unknown_values] if args.key?(:ignore_unknown_values)
@max_bad_records = args[:max_bad_records] if args.key?(:max_bad_records)
@null_marker = args[:null_marker] if args.key?(:null_marker)
@projection_fields = args[:projection_fields] if args.key?(:projection_fields)
@quote = args[:quote] if args.key?(:quote)
@range_partitioning = args[:range_partitioning] if args.key?(:range_partitioning)
@schema = args[:schema] if args.key?(:schema)
@schema_inline = args[:schema_inline] if args.key?(:schema_inline)
@schema_inline_format = args[:schema_inline_format] if args.key?(:schema_inline_format)
@schema_update_options = args[:schema_update_options] if args.key?(:schema_update_options)
@skip_leading_rows = args[:skip_leading_rows] if args.key?(:skip_leading_rows)
@source_format = args[:source_format] if args.key?(:source_format)
@source_uris = args[:source_uris] if args.key?(:source_uris)
@time_partitioning = args[:time_partitioning] if args.key?(:time_partitioning)
@use_avro_logical_types = args[:use_avro_logical_types] if args.key?(:use_avro_logical_types)
@write_disposition = args[:write_disposition] if args.key?(:write_disposition)
end
end
#
class JobConfigurationQuery
include Google::Apis::Core::Hashable
# [Optional] If true and query uses legacy SQL dialect, allows the query to
# produce arbitrarily large result tables at a slight cost in performance.
# Requires destinationTable to be set. For standard SQL queries, this flag is
# ignored and large results are always allowed. However, you must still set
# destinationTable when result size exceeds the allowed maximum response size.
# Corresponds to the JSON property `allowLargeResults`
# @return [Boolean]
attr_accessor :allow_large_results
alias_method :allow_large_results?, :allow_large_results
# [Beta] Clustering specification for the destination table. Must be specified
# with time-based partitioning, data in the table will be first partitioned and
# subsequently clustered.
# Corresponds to the JSON property `clustering`
# @return [Google::Apis::BigqueryV2::Clustering]
attr_accessor :clustering
# Connection properties.
# Corresponds to the JSON property `connectionProperties`
# @return [Array<Google::Apis::BigqueryV2::ConnectionProperty>]
attr_accessor :connection_properties
# [Optional] Specifies whether the job is allowed to create new tables. The
# following values are supported: CREATE_IF_NEEDED: If the table does not exist,
# BigQuery creates the table. CREATE_NEVER: The table must already exist. If it
# does not, a 'notFound' error is returned in the job result. The default value
# is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one
# atomic update upon job completion.
# Corresponds to the JSON property `createDisposition`
# @return [String]
attr_accessor :create_disposition
# [Optional] Specifies the default dataset to use for unqualified table names in
# the query. Note that this does not alter behavior of unqualified dataset names.
# Corresponds to the JSON property `defaultDataset`
# @return [Google::Apis::BigqueryV2::DatasetReference]
attr_accessor :default_dataset
# Custom encryption configuration (e.g., Cloud KMS keys).
# Corresponds to the JSON property `destinationEncryptionConfiguration`
# @return [Google::Apis::BigqueryV2::EncryptionConfiguration]
attr_accessor :destination_encryption_configuration
# [Optional] Describes the table where the query results should be stored. If
# not present, a new table will be created to store the results. This property
# must be set for large results that exceed the maximum response size.
# Corresponds to the JSON property `destinationTable`
# @return [Google::Apis::BigqueryV2::TableReference]
attr_accessor :destination_table
# [Optional] If true and query uses legacy SQL dialect, flattens all nested and
# repeated fields in the query results. allowLargeResults must be true if this
# is set to false. For standard SQL queries, this flag is ignored and results
# are never flattened.
# Corresponds to the JSON property `flattenResults`
# @return [Boolean]
attr_accessor :flatten_results
alias_method :flatten_results?, :flatten_results
# [Optional] Limits the billing tier for this job. Queries that have resource
# usage beyond this tier will fail (without incurring a charge). If unspecified,
# this will be set to your project default.
# Corresponds to the JSON property `maximumBillingTier`
# @return [Fixnum]
attr_accessor :maximum_billing_tier
# [Optional] Limits the bytes billed for this job. Queries that will have bytes
# billed beyond this limit will fail (without incurring a charge). If
# unspecified, this will be set to your project default.
# Corresponds to the JSON property `maximumBytesBilled`
# @return [Fixnum]
attr_accessor :maximum_bytes_billed
# Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or
# to NAMED to use named (@myparam) query parameters in this query.
# Corresponds to the JSON property `parameterMode`
# @return [String]
attr_accessor :parameter_mode
# [Deprecated] This property is deprecated.
# Corresponds to the JSON property `preserveNulls`
# @return [Boolean]
attr_accessor :preserve_nulls
alias_method :preserve_nulls?, :preserve_nulls
# [Optional] Specifies a priority for the query. Possible values include
# INTERACTIVE and BATCH. The default value is INTERACTIVE.
# Corresponds to the JSON property `priority`
# @return [String]
attr_accessor :priority
# [Required] SQL query text to execute. The useLegacySql field can be used to
# indicate whether the query uses legacy SQL or standard SQL.
# Corresponds to the JSON property `query`
# @return [String]
attr_accessor :query
# Query parameters for standard SQL queries.
# Corresponds to the JSON property `queryParameters`
# @return [Array<Google::Apis::BigqueryV2::QueryParameter>]
attr_accessor :query_parameters
# [TrustedTester] Range partitioning specification for this table. Only one of
# timePartitioning and rangePartitioning should be specified.
# Corresponds to the JSON property `rangePartitioning`
# @return [Google::Apis::BigqueryV2::RangePartitioning]
attr_accessor :range_partitioning
# Allows the schema of the destination table to be updated as a side effect of
# the query job. Schema update options are supported in two cases: when
# writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and
# the destination table is a partition of a table, specified by partition
# decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema.
# One or more of the following values are specified: ALLOW_FIELD_ADDITION:
# allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow
# relaxing a required field in the original schema to nullable.
# Corresponds to the JSON property `schemaUpdateOptions`
# @return [Array<String>]
attr_accessor :schema_update_options
# [Optional] If querying an external data source outside of BigQuery, describes
# the data format, location and other properties of the data source. By defining
# these properties, the data source can then be queried as if it were a standard
# BigQuery table.
# Corresponds to the JSON property `tableDefinitions`
# @return [Hash<String,Google::Apis::BigqueryV2::ExternalDataConfiguration>]
attr_accessor :table_definitions
# Time-based partitioning specification for the destination table. Only one of
# timePartitioning and rangePartitioning should be specified.
# Corresponds to the JSON property `timePartitioning`
# @return [Google::Apis::BigqueryV2::TimePartitioning]
attr_accessor :time_partitioning
# Specifies whether to use BigQuery's legacy SQL dialect for this query. The
# default value is true. If set to false, the query will use BigQuery's standard
# SQL: https://cloud.google.com/bigquery/sql-reference/ When useLegacySql is set
# to false, the value of flattenResults is ignored; query will be run as if
# flattenResults is false.
# Corresponds to the JSON property `useLegacySql`
# @return [Boolean]
attr_accessor :use_legacy_sql
alias_method :use_legacy_sql?, :use_legacy_sql
# [Optional] Whether to look for the result in the query cache. The query cache
# is a best-effort cache that will be flushed whenever tables in the query are
# modified. Moreover, the query cache is only available when a query does not
# have a destination table specified. The default value is true.
# Corresponds to the JSON property `useQueryCache`
# @return [Boolean]
attr_accessor :use_query_cache
alias_method :use_query_cache?, :use_query_cache
# Describes user-defined function resources used in the query.
# Corresponds to the JSON property `userDefinedFunctionResources`
# @return [Array<Google::Apis::BigqueryV2::UserDefinedFunctionResource>]
attr_accessor :user_defined_function_resources
# [Optional] Specifies the action that occurs if the destination table already
# exists. The following values are supported: WRITE_TRUNCATE: If the table
# already exists, BigQuery overwrites the table data and uses the schema from
# the query result. WRITE_APPEND: If the table already exists, BigQuery appends
# the data to the table. WRITE_EMPTY: If the table already exists and contains
# data, a 'duplicate' error is returned in the job result. The default value is
# WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to
# complete the job successfully. Creation, truncation and append actions occur
# as one atomic update upon job completion.
# Corresponds to the JSON property `writeDisposition`
# @return [String]
attr_accessor :write_disposition
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@allow_large_results = args[:allow_large_results] if args.key?(:allow_large_results)
@clustering = args[:clustering] if args.key?(:clustering)
@connection_properties = args[:connection_properties] if args.key?(:connection_properties)
@create_disposition = args[:create_disposition] if args.key?(:create_disposition)
@default_dataset = args[:default_dataset] if args.key?(:default_dataset)
@destination_encryption_configuration = args[:destination_encryption_configuration] if args.key?(:destination_encryption_configuration)
@destination_table = args[:destination_table] if args.key?(:destination_table)
@flatten_results = args[:flatten_results] if args.key?(:flatten_results)
@maximum_billing_tier = args[:maximum_billing_tier] if args.key?(:maximum_billing_tier)
@maximum_bytes_billed = args[:maximum_bytes_billed] if args.key?(:maximum_bytes_billed)
@parameter_mode = args[:parameter_mode] if args.key?(:parameter_mode)
@preserve_nulls = args[:preserve_nulls] if args.key?(:preserve_nulls)
@priority = args[:priority] if args.key?(:priority)
@query = args[:query] if args.key?(:query)
@query_parameters = args[:query_parameters] if args.key?(:query_parameters)
@range_partitioning = args[:range_partitioning] if args.key?(:range_partitioning)
@schema_update_options = args[:schema_update_options] if args.key?(:schema_update_options)
@table_definitions = args[:table_definitions] if args.key?(:table_definitions)
@time_partitioning = args[:time_partitioning] if args.key?(:time_partitioning)
@use_legacy_sql = args[:use_legacy_sql] if args.key?(:use_legacy_sql)
@use_query_cache = args[:use_query_cache] if args.key?(:use_query_cache)
@user_defined_function_resources = args[:user_defined_function_resources] if args.key?(:user_defined_function_resources)
@write_disposition = args[:write_disposition] if args.key?(:write_disposition)
end
end
#
class JobConfigurationTableCopy
include Google::Apis::Core::Hashable
# [Optional] Specifies whether the job is allowed to create new tables. The
# following values are supported: CREATE_IF_NEEDED: If the table does not exist,
# BigQuery creates the table. CREATE_NEVER: The table must already exist. If it
# does not, a 'notFound' error is returned in the job result. The default value
# is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one
# atomic update upon job completion.
# Corresponds to the JSON property `createDisposition`
# @return [String]
attr_accessor :create_disposition
# Custom encryption configuration (e.g., Cloud KMS keys).
# Corresponds to the JSON property `destinationEncryptionConfiguration`
# @return [Google::Apis::BigqueryV2::EncryptionConfiguration]
attr_accessor :destination_encryption_configuration
# [Required] The destination table
# Corresponds to the JSON property `destinationTable`
# @return [Google::Apis::BigqueryV2::TableReference]
attr_accessor :destination_table
# [Pick one] Source table to copy.
# Corresponds to the JSON property `sourceTable`
# @return [Google::Apis::BigqueryV2::TableReference]
attr_accessor :source_table
# [Pick one] Source tables to copy.
# Corresponds to the JSON property `sourceTables`
# @return [Array<Google::Apis::BigqueryV2::TableReference>]
attr_accessor :source_tables
# [Optional] Specifies the action that occurs if the destination table already
# exists. The following values are supported: WRITE_TRUNCATE: If the table
# already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table
# already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the
# table already exists and contains data, a 'duplicate' error is returned in the
# job result. The default value is WRITE_EMPTY. Each action is atomic and only
# occurs if BigQuery is able to complete the job successfully. Creation,
# truncation and append actions occur as one atomic update upon job completion.
# Corresponds to the JSON property `writeDisposition`
# @return [String]
attr_accessor :write_disposition
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@create_disposition = args[:create_disposition] if args.key?(:create_disposition)
@destination_encryption_configuration = args[:destination_encryption_configuration] if args.key?(:destination_encryption_configuration)
@destination_table = args[:destination_table] if args.key?(:destination_table)
@source_table = args[:source_table] if args.key?(:source_table)
@source_tables = args[:source_tables] if args.key?(:source_tables)
@write_disposition = args[:write_disposition] if args.key?(:write_disposition)
end
end
#
class JobList
include Google::Apis::Core::Hashable
# A hash of this page of results.
# Corresponds to the JSON property `etag`
# @return [String]
attr_accessor :etag
# List of jobs that were requested.
# Corresponds to the JSON property `jobs`
# @return [Array<Google::Apis::BigqueryV2::JobList::Job>]
attr_accessor :jobs
# The resource type of the response.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# A token to request the next page of results.
# Corresponds to the JSON property `nextPageToken`
# @return [String]
attr_accessor :next_page_token
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@etag = args[:etag] if args.key?(:etag)
@jobs = args[:jobs] if args.key?(:jobs)
@kind = args[:kind] if args.key?(:kind)
@next_page_token = args[:next_page_token] if args.key?(:next_page_token)
end
#
class Job
include Google::Apis::Core::Hashable
# [Full-projection-only] Specifies the job configuration.
# Corresponds to the JSON property `configuration`
# @return [Google::Apis::BigqueryV2::JobConfiguration]
attr_accessor :configuration
# A result object that will be present only if the job has failed.
# Corresponds to the JSON property `errorResult`
# @return [Google::Apis::BigqueryV2::ErrorProto]
attr_accessor :error_result
# Unique opaque ID of the job.
# Corresponds to the JSON property `id`
# @return [String]
attr_accessor :id
# Job reference uniquely identifying the job.
# Corresponds to the JSON property `jobReference`
# @return [Google::Apis::BigqueryV2::JobReference]
attr_accessor :job_reference
# The resource type.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# Running state of the job. When the state is DONE, errorResult can be checked
# to determine whether the job succeeded or failed.
# Corresponds to the JSON property `state`
# @return [String]
attr_accessor :state
# [Output-only] Information about the job, including starting time and ending
# time of the job.
# Corresponds to the JSON property `statistics`
# @return [Google::Apis::BigqueryV2::JobStatistics]
attr_accessor :statistics
# [Full-projection-only] Describes the state of the job.
# Corresponds to the JSON property `status`
# @return [Google::Apis::BigqueryV2::JobStatus]
attr_accessor :status
# [Full-projection-only] Email address of the user who ran the job.
# Corresponds to the JSON property `user_email`
# @return [String]
attr_accessor :user_email
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@configuration = args[:configuration] if args.key?(:configuration)
@error_result = args[:error_result] if args.key?(:error_result)
@id = args[:id] if args.key?(:id)
@job_reference = args[:job_reference] if args.key?(:job_reference)
@kind = args[:kind] if args.key?(:kind)
@state = args[:state] if args.key?(:state)
@statistics = args[:statistics] if args.key?(:statistics)
@status = args[:status] if args.key?(:status)
@user_email = args[:user_email] if args.key?(:user_email)
end
end
end
#
class JobReference
include Google::Apis::Core::Hashable
# [Required] The ID of the job. The ID must contain only letters (a-z, A-Z),
# numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024
# characters.
# Corresponds to the JSON property `jobId`
# @return [String]
attr_accessor :job_id
# The geographic location of the job. See details at https://cloud.google.com/
# bigquery/docs/locations#specifying_your_location.
# Corresponds to the JSON property `location`
# @return [String]
attr_accessor :location
# [Required] The ID of the project containing this job.
# Corresponds to the JSON property `projectId`
# @return [String]
attr_accessor :project_id
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@job_id = args[:job_id] if args.key?(:job_id)
@location = args[:location] if args.key?(:location)
@project_id = args[:project_id] if args.key?(:project_id)
end
end
#
class JobStatistics
include Google::Apis::Core::Hashable
# [TrustedTester] [Output-only] Job progress (0.0 -> 1.0) for LOAD and EXTRACT
# jobs.
# Corresponds to the JSON property `completionRatio`
# @return [Float]
attr_accessor :completion_ratio
# [Output-only] Creation time of this job, in milliseconds since the epoch. This
# field will be present on all jobs.
# Corresponds to the JSON property `creationTime`
# @return [Fixnum]
attr_accessor :creation_time
# [Output-only] End time of this job, in milliseconds since the epoch. This
# field will be present whenever a job is in the DONE state.
# Corresponds to the JSON property `endTime`
# @return [Fixnum]
attr_accessor :end_time
# [Output-only] Statistics for an extract job.
# Corresponds to the JSON property `extract`
# @return [Google::Apis::BigqueryV2::JobStatistics4]
attr_accessor :extract
# [Output-only] Statistics for a load job.
# Corresponds to the JSON property `load`
# @return [Google::Apis::BigqueryV2::JobStatistics3]
attr_accessor :load
# [Output-only] Number of child jobs executed.
# Corresponds to the JSON property `numChildJobs`
# @return [Fixnum]
attr_accessor :num_child_jobs
# [Output-only] If this is a child job, the id of the parent.
# Corresponds to the JSON property `parentJobId`
# @return [String]
attr_accessor :parent_job_id
# [Output-only] Statistics for a query job.
# Corresponds to the JSON property `query`
# @return [Google::Apis::BigqueryV2::JobStatistics2]
attr_accessor :query
# [Output-only] Quotas which delayed this job's start time.
# Corresponds to the JSON property `quotaDeferments`
# @return [Array<String>]
attr_accessor :quota_deferments
# [Output-only] Job resource usage breakdown by reservation.
# Corresponds to the JSON property `reservationUsage`
# @return [Array<Google::Apis::BigqueryV2::JobStatistics::ReservationUsage>]
attr_accessor :reservation_usage
# [Output-only] Name of the primary reservation assigned to this job. Note that
# this could be different than reservations reported in the reservation usage
# field if parent reservations were used to execute this job.
# Corresponds to the JSON property `reservation_id`
# @return [String]
attr_accessor :reservation_id
# [Output-only] [Preview] Statistics for row-level security. Present only for
# query and extract jobs.
# Corresponds to the JSON property `rowLevelSecurityStatistics`
# @return [Google::Apis::BigqueryV2::RowLevelSecurityStatistics]
attr_accessor :row_level_security_statistics
# [Output-only] Statistics for a child job of a script.
# Corresponds to the JSON property `scriptStatistics`
# @return [Google::Apis::BigqueryV2::ScriptStatistics]
attr_accessor :script_statistics
# [Output-only] Start time of this job, in milliseconds since the epoch. This
# field will be present when the job transitions from the PENDING state to
# either RUNNING or DONE.
# Corresponds to the JSON property `startTime`
# @return [Fixnum]
attr_accessor :start_time
# [Output-only] [Deprecated] Use the bytes processed in the query statistics
# instead.
# Corresponds to the JSON property `totalBytesProcessed`
# @return [Fixnum]
attr_accessor :total_bytes_processed
# [Output-only] Slot-milliseconds for the job.
# Corresponds to the JSON property `totalSlotMs`
# @return [Fixnum]
attr_accessor :total_slot_ms
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@completion_ratio = args[:completion_ratio] if args.key?(:completion_ratio)
@creation_time = args[:creation_time] if args.key?(:creation_time)
@end_time = args[:end_time] if args.key?(:end_time)
@extract = args[:extract] if args.key?(:extract)
@load = args[:load] if args.key?(:load)
@num_child_jobs = args[:num_child_jobs] if args.key?(:num_child_jobs)
@parent_job_id = args[:parent_job_id] if args.key?(:parent_job_id)
@query = args[:query] if args.key?(:query)
@quota_deferments = args[:quota_deferments] if args.key?(:quota_deferments)
@reservation_usage = args[:reservation_usage] if args.key?(:reservation_usage)
@reservation_id = args[:reservation_id] if args.key?(:reservation_id)
@row_level_security_statistics = args[:row_level_security_statistics] if args.key?(:row_level_security_statistics)
@script_statistics = args[:script_statistics] if args.key?(:script_statistics)
@start_time = args[:start_time] if args.key?(:start_time)
@total_bytes_processed = args[:total_bytes_processed] if args.key?(:total_bytes_processed)
@total_slot_ms = args[:total_slot_ms] if args.key?(:total_slot_ms)
end
#
class ReservationUsage
include Google::Apis::Core::Hashable
# [Output-only] Reservation name or "unreserved" for on-demand resources usage.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# [Output-only] Slot-milliseconds the job spent in the given reservation.
# Corresponds to the JSON property `slotMs`
# @return [Fixnum]
attr_accessor :slot_ms
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@name = args[:name] if args.key?(:name)
@slot_ms = args[:slot_ms] if args.key?(:slot_ms)
end
end
end
#
class JobStatistics2
include Google::Apis::Core::Hashable
# [Output-only] Billing tier for the job.
# Corresponds to the JSON property `billingTier`
# @return [Fixnum]
attr_accessor :billing_tier
# [Output-only] Whether the query result was fetched from the query cache.
# Corresponds to the JSON property `cacheHit`
# @return [Boolean]
attr_accessor :cache_hit
alias_method :cache_hit?, :cache_hit
# [Output-only] [Preview] The number of row access policies affected by a DDL
# statement. Present only for DROP ALL ROW ACCESS POLICIES queries.
# Corresponds to the JSON property `ddlAffectedRowAccessPolicyCount`
# @return [Fixnum]
attr_accessor :ddl_affected_row_access_policy_count
# The DDL operation performed, possibly dependent on the pre-existence of the
# DDL target. Possible values (new values might be added in the future): "CREATE"
# : The query created the DDL target. "SKIP": No-op. Example cases: the query is
# CREATE TABLE IF NOT EXISTS while the table already exists, or the query is
# DROP TABLE IF EXISTS while the table does not exist. "REPLACE": The query
# replaced the DDL target. Example case: the query is CREATE OR REPLACE TABLE,
# and the table already exists. "DROP": The query deleted the DDL target.
# Corresponds to the JSON property `ddlOperationPerformed`
# @return [String]
attr_accessor :ddl_operation_performed
# The DDL target routine. Present only for CREATE/DROP FUNCTION/PROCEDURE
# queries.
# Corresponds to the JSON property `ddlTargetRoutine`
# @return [Google::Apis::BigqueryV2::RoutineReference]
attr_accessor :ddl_target_routine
# [Output-only] [Preview] The DDL target row access policy. Present only for
# CREATE/DROP ROW ACCESS POLICY queries.
# Corresponds to the JSON property `ddlTargetRowAccessPolicy`
# @return [Google::Apis::BigqueryV2::RowAccessPolicyReference]
attr_accessor :ddl_target_row_access_policy
# [Output-only] The DDL target table. Present only for CREATE/DROP TABLE/VIEW
# and DROP ALL ROW ACCESS POLICIES queries.
# Corresponds to the JSON property `ddlTargetTable`
# @return [Google::Apis::BigqueryV2::TableReference]
attr_accessor :ddl_target_table
# [Output-only] The original estimate of bytes processed for the job.
# Corresponds to the JSON property `estimatedBytesProcessed`
# @return [Fixnum]
attr_accessor :estimated_bytes_processed
# [Output-only, Beta] Information about create model query job progress.
# Corresponds to the JSON property `modelTraining`
# @return [Google::Apis::BigqueryV2::BigQueryModelTraining]
attr_accessor :model_training
# [Output-only, Beta] Deprecated; do not use.
# Corresponds to the JSON property `modelTrainingCurrentIteration`
# @return [Fixnum]
attr_accessor :model_training_current_iteration
# [Output-only, Beta] Deprecated; do not use.
# Corresponds to the JSON property `modelTrainingExpectedTotalIteration`
# @return [Fixnum]
attr_accessor :model_training_expected_total_iteration
# [Output-only] The number of rows affected by a DML statement. Present only for
# DML statements INSERT, UPDATE or DELETE.
# Corresponds to the JSON property `numDmlAffectedRows`
# @return [Fixnum]
attr_accessor :num_dml_affected_rows
# [Output-only] Describes execution plan for the query.
# Corresponds to the JSON property `queryPlan`
# @return [Array<Google::Apis::BigqueryV2::ExplainQueryStage>]
attr_accessor :query_plan
# [Output-only] Referenced routines (persistent user-defined functions and
# stored procedures) for the job.
# Corresponds to the JSON property `referencedRoutines`
# @return [Array<Google::Apis::BigqueryV2::RoutineReference>]
attr_accessor :referenced_routines
# [Output-only] Referenced tables for the job. Queries that reference more than
# 50 tables will not have a complete list.
# Corresponds to the JSON property `referencedTables`
# @return [Array<Google::Apis::BigqueryV2::TableReference>]
attr_accessor :referenced_tables
# [Output-only] Job resource usage breakdown by reservation.
# Corresponds to the JSON property `reservationUsage`
# @return [Array<Google::Apis::BigqueryV2::JobStatistics2::ReservationUsage>]
attr_accessor :reservation_usage
# [Output-only] The schema of the results. Present only for successful dry run
# of non-legacy SQL queries.
# Corresponds to the JSON property `schema`
# @return [Google::Apis::BigqueryV2::TableSchema]
attr_accessor :schema
# The type of query statement, if valid. Possible values (new values might be
# added in the future): "SELECT": SELECT query. "INSERT": INSERT query; see
# https://cloud.google.com/bigquery/docs/reference/standard-sql/data-
# manipulation-language. "UPDATE": UPDATE query; see https://cloud.google.com/
# bigquery/docs/reference/standard-sql/data-manipulation-language. "DELETE":
# DELETE query; see https://cloud.google.com/bigquery/docs/reference/standard-
# sql/data-manipulation-language. "MERGE": MERGE query; see https://cloud.google.
# com/bigquery/docs/reference/standard-sql/data-manipulation-language. "
# ALTER_TABLE": ALTER TABLE query. "ALTER_VIEW": ALTER VIEW query. "ASSERT":
# ASSERT condition AS 'description'. "CREATE_FUNCTION": CREATE FUNCTION query. "
# CREATE_MODEL": CREATE [OR REPLACE] MODEL ... AS SELECT ... . "CREATE_PROCEDURE"
# : CREATE PROCEDURE query. "CREATE_TABLE": CREATE [OR REPLACE] TABLE without AS
# SELECT. "CREATE_TABLE_AS_SELECT": CREATE [OR REPLACE] TABLE ... AS SELECT ... .
# "CREATE_VIEW": CREATE [OR REPLACE] VIEW ... AS SELECT ... . "DROP_FUNCTION" :
# DROP FUNCTION query. "DROP_PROCEDURE": DROP PROCEDURE query. "DROP_TABLE":
# DROP TABLE query. "DROP_VIEW": DROP VIEW query.
# Corresponds to the JSON property `statementType`
# @return [String]
attr_accessor :statement_type
# [Output-only] [Beta] Describes a timeline of job execution.
# Corresponds to the JSON property `timeline`
# @return [Array<Google::Apis::BigqueryV2::QueryTimelineSample>]
attr_accessor :timeline
# [Output-only] Total bytes billed for the job.
# Corresponds to the JSON property `totalBytesBilled`
# @return [Fixnum]
attr_accessor :total_bytes_billed
# [Output-only] Total bytes processed for the job.
# Corresponds to the JSON property `totalBytesProcessed`
# @return [Fixnum]
attr_accessor :total_bytes_processed
# [Output-only] For dry-run jobs, totalBytesProcessed is an estimate and this
# field specifies the accuracy of the estimate. Possible values can be: UNKNOWN:
# accuracy of the estimate is unknown. PRECISE: estimate is precise. LOWER_BOUND:
# estimate is lower bound of what the query would cost. UPPER_BOUND: estimate
# is upper bound of what the query would cost.
# Corresponds to the JSON property `totalBytesProcessedAccuracy`
# @return [String]
attr_accessor :total_bytes_processed_accuracy
# [Output-only] Total number of partitions processed from all partitioned tables
# referenced in the job.
# Corresponds to the JSON property `totalPartitionsProcessed`
# @return [Fixnum]
attr_accessor :total_partitions_processed
# [Output-only] Slot-milliseconds for the job.
# Corresponds to the JSON property `totalSlotMs`
# @return [Fixnum]
attr_accessor :total_slot_ms
# Standard SQL only: list of undeclared query parameters detected during a dry
# run validation.
# Corresponds to the JSON property `undeclaredQueryParameters`
# @return [Array<Google::Apis::BigqueryV2::QueryParameter>]
attr_accessor :undeclared_query_parameters
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@billing_tier = args[:billing_tier] if args.key?(:billing_tier)
@cache_hit = args[:cache_hit] if args.key?(:cache_hit)
@ddl_affected_row_access_policy_count = args[:ddl_affected_row_access_policy_count] if args.key?(:ddl_affected_row_access_policy_count)
@ddl_operation_performed = args[:ddl_operation_performed] if args.key?(:ddl_operation_performed)
@ddl_target_routine = args[:ddl_target_routine] if args.key?(:ddl_target_routine)
@ddl_target_row_access_policy = args[:ddl_target_row_access_policy] if args.key?(:ddl_target_row_access_policy)
@ddl_target_table = args[:ddl_target_table] if args.key?(:ddl_target_table)
@estimated_bytes_processed = args[:estimated_bytes_processed] if args.key?(:estimated_bytes_processed)
@model_training = args[:model_training] if args.key?(:model_training)
@model_training_current_iteration = args[:model_training_current_iteration] if args.key?(:model_training_current_iteration)
@model_training_expected_total_iteration = args[:model_training_expected_total_iteration] if args.key?(:model_training_expected_total_iteration)
@num_dml_affected_rows = args[:num_dml_affected_rows] if args.key?(:num_dml_affected_rows)
@query_plan = args[:query_plan] if args.key?(:query_plan)
@referenced_routines = args[:referenced_routines] if args.key?(:referenced_routines)
@referenced_tables = args[:referenced_tables] if args.key?(:referenced_tables)
@reservation_usage = args[:reservation_usage] if args.key?(:reservation_usage)
@schema = args[:schema] if args.key?(:schema)
@statement_type = args[:statement_type] if args.key?(:statement_type)
@timeline = args[:timeline] if args.key?(:timeline)
@total_bytes_billed = args[:total_bytes_billed] if args.key?(:total_bytes_billed)
@total_bytes_processed = args[:total_bytes_processed] if args.key?(:total_bytes_processed)
@total_bytes_processed_accuracy = args[:total_bytes_processed_accuracy] if args.key?(:total_bytes_processed_accuracy)
@total_partitions_processed = args[:total_partitions_processed] if args.key?(:total_partitions_processed)
@total_slot_ms = args[:total_slot_ms] if args.key?(:total_slot_ms)
@undeclared_query_parameters = args[:undeclared_query_parameters] if args.key?(:undeclared_query_parameters)
end
#
class ReservationUsage
include Google::Apis::Core::Hashable
# [Output-only] Reservation name or "unreserved" for on-demand resources usage.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# [Output-only] Slot-milliseconds the job spent in the given reservation.
# Corresponds to the JSON property `slotMs`
# @return [Fixnum]
attr_accessor :slot_ms
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@name = args[:name] if args.key?(:name)
@slot_ms = args[:slot_ms] if args.key?(:slot_ms)
end
end
end
#
class JobStatistics3
include Google::Apis::Core::Hashable
# [Output-only] The number of bad records encountered. Note that if the job has
# failed because of more bad records encountered than the maximum allowed in the
# load job configuration, then this number can be less than the total number of
# bad records present in the input data.
# Corresponds to the JSON property `badRecords`
# @return [Fixnum]
attr_accessor :bad_records
# [Output-only] Number of bytes of source data in a load job.
# Corresponds to the JSON property `inputFileBytes`
# @return [Fixnum]
attr_accessor :input_file_bytes
# [Output-only] Number of source files in a load job.
# Corresponds to the JSON property `inputFiles`
# @return [Fixnum]
attr_accessor :input_files
# [Output-only] Size of the loaded data in bytes. Note that while a load job is
# in the running state, this value may change.
# Corresponds to the JSON property `outputBytes`
# @return [Fixnum]
attr_accessor :output_bytes
# [Output-only] Number of rows imported in a load job. Note that while an import
# job is in the running state, this value may change.
# Corresponds to the JSON property `outputRows`
# @return [Fixnum]
attr_accessor :output_rows
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@bad_records = args[:bad_records] if args.key?(:bad_records)
@input_file_bytes = args[:input_file_bytes] if args.key?(:input_file_bytes)
@input_files = args[:input_files] if args.key?(:input_files)
@output_bytes = args[:output_bytes] if args.key?(:output_bytes)
@output_rows = args[:output_rows] if args.key?(:output_rows)
end
end
#
class JobStatistics4
include Google::Apis::Core::Hashable
# [Output-only] Number of files per destination URI or URI pattern specified in
# the extract configuration. These values will be in the same order as the URIs
# specified in the 'destinationUris' field.
# Corresponds to the JSON property `destinationUriFileCounts`
# @return [Array<Fixnum>]
attr_accessor :destination_uri_file_counts
# [Output-only] Number of user bytes extracted into the result. This is the byte
# count as computed by BigQuery for billing purposes.
# Corresponds to the JSON property `inputBytes`
# @return [Fixnum]
attr_accessor :input_bytes
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@destination_uri_file_counts = args[:destination_uri_file_counts] if args.key?(:destination_uri_file_counts)
@input_bytes = args[:input_bytes] if args.key?(:input_bytes)
end
end
#
class JobStatus
include Google::Apis::Core::Hashable
# [Output-only] Final error result of the job. If present, indicates that the
# job has completed and was unsuccessful.
# Corresponds to the JSON property `errorResult`
# @return [Google::Apis::BigqueryV2::ErrorProto]
attr_accessor :error_result
# [Output-only] The first errors encountered during the running of the job. The
# final message includes the number of errors that caused the process to stop.
# Errors here do not necessarily mean that the job has completed or was
# unsuccessful.
# Corresponds to the JSON property `errors`
# @return [Array<Google::Apis::BigqueryV2::ErrorProto>]
attr_accessor :errors
# [Output-only] Running state of the job.
# Corresponds to the JSON property `state`
# @return [String]
attr_accessor :state
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@error_result = args[:error_result] if args.key?(:error_result)
@errors = args[:errors] if args.key?(:errors)
@state = args[:state] if args.key?(:state)
end
end
#
class ListModelsResponse
include Google::Apis::Core::Hashable
# Models in the requested dataset. Only the following fields are populated:
# model_reference, model_type, creation_time, last_modified_time and
# labels.
# Corresponds to the JSON property `models`
# @return [Array<Google::Apis::BigqueryV2::Model>]
attr_accessor :models
# A token to request the next page of results.
# Corresponds to the JSON property `nextPageToken`
# @return [String]
attr_accessor :next_page_token
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@models = args[:models] if args.key?(:models)
@next_page_token = args[:next_page_token] if args.key?(:next_page_token)
end
end
#
class ListRoutinesResponse
include Google::Apis::Core::Hashable
# A token to request the next page of results.
# Corresponds to the JSON property `nextPageToken`
# @return [String]
attr_accessor :next_page_token
# Routines in the requested dataset. Unless read_mask is set in the request,
# only the following fields are populated:
# etag, project_id, dataset_id, routine_id, routine_type, creation_time,
# last_modified_time, and language.
# Corresponds to the JSON property `routines`
# @return [Array<Google::Apis::BigqueryV2::Routine>]
attr_accessor :routines
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@next_page_token = args[:next_page_token] if args.key?(:next_page_token)
@routines = args[:routines] if args.key?(:routines)
end
end
# BigQuery-specific metadata about a location. This will be set on
# google.cloud.location.Location.metadata in Cloud Location API
# responses.
class LocationMetadata
include Google::Apis::Core::Hashable
# The legacy BigQuery location ID, e.g. “EU” for the “europe” location.
# This is for any API consumers that need the legacy “US” and “EU” locations.
# Corresponds to the JSON property `legacyLocationId`
# @return [String]
attr_accessor :legacy_location_id
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@legacy_location_id = args[:legacy_location_id] if args.key?(:legacy_location_id)
end
end
#
class MaterializedViewDefinition
include Google::Apis::Core::Hashable
# [Optional] [TrustedTester] Enable automatic refresh of the materialized view
# when the base table is updated. The default value is "true".
# Corresponds to the JSON property `enableRefresh`
# @return [Boolean]
attr_accessor :enable_refresh
alias_method :enable_refresh?, :enable_refresh
# [Output-only] [TrustedTester] The time when this materialized view was last
# modified, in milliseconds since the epoch.
# Corresponds to the JSON property `lastRefreshTime`
# @return [Fixnum]
attr_accessor :last_refresh_time
# [Required] A query whose result is persisted.
# Corresponds to the JSON property `query`
# @return [String]
attr_accessor :query
# [Optional] [TrustedTester] The maximum frequency at which this materialized
# view will be refreshed. The default value is "1800000" (30 minutes).
# Corresponds to the JSON property `refreshIntervalMs`
# @return [Fixnum]
attr_accessor :refresh_interval_ms
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@enable_refresh = args[:enable_refresh] if args.key?(:enable_refresh)
@last_refresh_time = args[:last_refresh_time] if args.key?(:last_refresh_time)
@query = args[:query] if args.key?(:query)
@refresh_interval_ms = args[:refresh_interval_ms] if args.key?(:refresh_interval_ms)
end
end
#
class Model
include Google::Apis::Core::Hashable
# Output only. The time when this model was created, in millisecs since the
# epoch.
# Corresponds to the JSON property `creationTime`
# @return [Fixnum]
attr_accessor :creation_time
# Optional. A user-friendly description of this model.
# Corresponds to the JSON property `description`
# @return [String]
attr_accessor :description
# Custom encryption configuration (e.g., Cloud KMS keys). This shows the
# encryption configuration of the model data while stored in BigQuery
# storage. This field can be used with PatchModel to update encryption key
# for an already encrypted model.
# Corresponds to the JSON property `encryptionConfiguration`
# @return [Google::Apis::BigqueryV2::EncryptionConfiguration]
attr_accessor :encryption_configuration
# Output only. A hash of this resource.
# Corresponds to the JSON property `etag`
# @return [String]
attr_accessor :etag
# Optional. The time when this model expires, in milliseconds since the epoch.
# If not present, the model will persist indefinitely. Expired models
# will be deleted and their storage reclaimed. The defaultTableExpirationMs
# property of the encapsulating dataset can be used to set a default
# expirationTime on newly created models.
# Corresponds to the JSON property `expirationTime`
# @return [Fixnum]
attr_accessor :expiration_time
# Output only. Input feature columns that were used to train this model.
# Corresponds to the JSON property `featureColumns`
# @return [Array<Google::Apis::BigqueryV2::StandardSqlField>]
attr_accessor :feature_columns
# Optional. A descriptive name for this model.
# Corresponds to the JSON property `friendlyName`
# @return [String]
attr_accessor :friendly_name
# Output only. Label columns that were used to train this model.
# The output of the model will have a "predicted_" prefix to these columns.
# Corresponds to the JSON property `labelColumns`
# @return [Array<Google::Apis::BigqueryV2::StandardSqlField>]
attr_accessor :label_columns
# The labels associated with this model. You can use these to organize
# and group your models. Label keys and values can be no longer
# than 63 characters, can only contain lowercase letters, numeric
# characters, underscores and dashes. International characters are allowed.
# Label values are optional. Label keys must start with a letter and each
# label in the list must have a different key.
# Corresponds to the JSON property `labels`
# @return [Hash<String,String>]
attr_accessor :labels
# Output only. The time when this model was last modified, in millisecs since
# the epoch.
# Corresponds to the JSON property `lastModifiedTime`
# @return [Fixnum]
attr_accessor :last_modified_time
# Output only. The geographic location where the model resides. This value
# is inherited from the dataset.
# Corresponds to the JSON property `location`
# @return [String]
attr_accessor :location
# Required. Unique identifier for this model.
# Corresponds to the JSON property `modelReference`
# @return [Google::Apis::BigqueryV2::ModelReference]
attr_accessor :model_reference
# Output only. Type of the model resource.
# Corresponds to the JSON property `modelType`
# @return [String]
attr_accessor :model_type
# Output only. Information for all training runs in increasing order of
# start_time.
# Corresponds to the JSON property `trainingRuns`
# @return [Array<Google::Apis::BigqueryV2::TrainingRun>]
attr_accessor :training_runs
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@creation_time = args[:creation_time] if args.key?(:creation_time)
@description = args[:description] if args.key?(:description)
@encryption_configuration = args[:encryption_configuration] if args.key?(:encryption_configuration)
@etag = args[:etag] if args.key?(:etag)
@expiration_time = args[:expiration_time] if args.key?(:expiration_time)
@feature_columns = args[:feature_columns] if args.key?(:feature_columns)
@friendly_name = args[:friendly_name] if args.key?(:friendly_name)
@label_columns = args[:label_columns] if args.key?(:label_columns)
@labels = args[:labels] if args.key?(:labels)
@last_modified_time = args[:last_modified_time] if args.key?(:last_modified_time)
@location = args[:location] if args.key?(:location)
@model_reference = args[:model_reference] if args.key?(:model_reference)
@model_type = args[:model_type] if args.key?(:model_type)
@training_runs = args[:training_runs] if args.key?(:training_runs)
end
end
#
class ModelDefinition
include Google::Apis::Core::Hashable
# [Output-only, Beta] Model options used for the first training run. These
# options are immutable for subsequent training runs. Default values are used
# for any options not specified in the input query.
# Corresponds to the JSON property `modelOptions`
# @return [Google::Apis::BigqueryV2::ModelDefinition::ModelOptions]
attr_accessor :model_options
# [Output-only, Beta] Information about ml training runs, each training run
# comprises of multiple iterations and there may be multiple training runs for
# the model if warm start is used or if a user decides to continue a previously
# cancelled query.
# Corresponds to the JSON property `trainingRuns`
# @return [Array<Google::Apis::BigqueryV2::BqmlTrainingRun>]
attr_accessor :training_runs
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@model_options = args[:model_options] if args.key?(:model_options)
@training_runs = args[:training_runs] if args.key?(:training_runs)
end
# [Output-only, Beta] Model options used for the first training run. These
# options are immutable for subsequent training runs. Default values are used
# for any options not specified in the input query.
class ModelOptions
include Google::Apis::Core::Hashable
#
# Corresponds to the JSON property `labels`
# @return [Array<String>]
attr_accessor :labels
#
# Corresponds to the JSON property `lossType`
# @return [String]
attr_accessor :loss_type
#
# Corresponds to the JSON property `modelType`
# @return [String]
attr_accessor :model_type
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@labels = args[:labels] if args.key?(:labels)
@loss_type = args[:loss_type] if args.key?(:loss_type)
@model_type = args[:model_type] if args.key?(:model_type)
end
end
end
#
class ModelReference
include Google::Apis::Core::Hashable
# [Required] The ID of the dataset containing this model.
# Corresponds to the JSON property `datasetId`
# @return [String]
attr_accessor :dataset_id
# [Required] The ID of the model. The ID must contain only letters (a-z, A-Z),
# numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
# Corresponds to the JSON property `modelId`
# @return [String]
attr_accessor :model_id
# [Required] The ID of the project containing this model.
# Corresponds to the JSON property `projectId`
# @return [String]
attr_accessor :project_id
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@dataset_id = args[:dataset_id] if args.key?(:dataset_id)
@model_id = args[:model_id] if args.key?(:model_id)
@project_id = args[:project_id] if args.key?(:project_id)
end
end
# Evaluation metrics for multi-class classification/classifier models.
class MultiClassClassificationMetrics
include Google::Apis::Core::Hashable
# Aggregate metrics for classification/classifier models. For multi-class
# models, the metrics are either macro-averaged or micro-averaged. When
# macro-averaged, the metrics are calculated for each label and then an
# unweighted average is taken of those values. When micro-averaged, the
# metric is calculated globally by counting the total number of correctly
# predicted rows.
# Corresponds to the JSON property `aggregateClassificationMetrics`
# @return [Google::Apis::BigqueryV2::AggregateClassificationMetrics]
attr_accessor :aggregate_classification_metrics
# Confusion matrix at different thresholds.
# Corresponds to the JSON property `confusionMatrixList`
# @return [Array<Google::Apis::BigqueryV2::ConfusionMatrix>]
attr_accessor :confusion_matrix_list
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@aggregate_classification_metrics = args[:aggregate_classification_metrics] if args.key?(:aggregate_classification_metrics)
@confusion_matrix_list = args[:confusion_matrix_list] if args.key?(:confusion_matrix_list)
end
end
#
class ProjectList
include Google::Apis::Core::Hashable
# A hash of the page of results
# Corresponds to the JSON property `etag`
# @return [String]
attr_accessor :etag
# The type of list.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# A token to request the next page of results.
# Corresponds to the JSON property `nextPageToken`
# @return [String]
attr_accessor :next_page_token
# Projects to which you have at least READ access.
# Corresponds to the JSON property `projects`
# @return [Array<Google::Apis::BigqueryV2::ProjectList::Project>]
attr_accessor :projects
# The total number of projects in the list.
# Corresponds to the JSON property `totalItems`
# @return [Fixnum]
attr_accessor :total_items
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@etag = args[:etag] if args.key?(:etag)
@kind = args[:kind] if args.key?(:kind)
@next_page_token = args[:next_page_token] if args.key?(:next_page_token)
@projects = args[:projects] if args.key?(:projects)
@total_items = args[:total_items] if args.key?(:total_items)
end
#
class Project
include Google::Apis::Core::Hashable
# A descriptive name for this project.
# Corresponds to the JSON property `friendlyName`
# @return [String]
attr_accessor :friendly_name
# An opaque ID of this project.
# Corresponds to the JSON property `id`
# @return [String]
attr_accessor :id
# The resource type.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# The numeric ID of this project.
# Corresponds to the JSON property `numericId`
# @return [Fixnum]
attr_accessor :numeric_id
# A unique reference to this project.
# Corresponds to the JSON property `projectReference`
# @return [Google::Apis::BigqueryV2::ProjectReference]
attr_accessor :project_reference
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@friendly_name = args[:friendly_name] if args.key?(:friendly_name)
@id = args[:id] if args.key?(:id)
@kind = args[:kind] if args.key?(:kind)
@numeric_id = args[:numeric_id] if args.key?(:numeric_id)
@project_reference = args[:project_reference] if args.key?(:project_reference)
end
end
end
#
class ProjectReference
include Google::Apis::Core::Hashable
# [Required] ID of the project. Can be either the numeric ID or the assigned ID
# of the project.
# Corresponds to the JSON property `projectId`
# @return [String]
attr_accessor :project_id
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@project_id = args[:project_id] if args.key?(:project_id)
end
end
#
class QueryParameter
include Google::Apis::Core::Hashable
# [Optional] If unset, this is a positional parameter. Otherwise, should be
# unique within a query.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# [Required] The type of this parameter.
# Corresponds to the JSON property `parameterType`
# @return [Google::Apis::BigqueryV2::QueryParameterType]
attr_accessor :parameter_type
# [Required] The value of this parameter.
# Corresponds to the JSON property `parameterValue`
# @return [Google::Apis::BigqueryV2::QueryParameterValue]
attr_accessor :parameter_value
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@name = args[:name] if args.key?(:name)
@parameter_type = args[:parameter_type] if args.key?(:parameter_type)
@parameter_value = args[:parameter_value] if args.key?(:parameter_value)
end
end
#
class QueryParameterType
include Google::Apis::Core::Hashable
# [Optional] The type of the array's elements, if this is an array.
# Corresponds to the JSON property `arrayType`
# @return [Google::Apis::BigqueryV2::QueryParameterType]
attr_accessor :array_type
# [Optional] The types of the fields of this struct, in order, if this is a
# struct.
# Corresponds to the JSON property `structTypes`
# @return [Array<Google::Apis::BigqueryV2::QueryParameterType::StructType>]
attr_accessor :struct_types
# [Required] The top level type of this field.
# Corresponds to the JSON property `type`
# @return [String]
attr_accessor :type
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@array_type = args[:array_type] if args.key?(:array_type)
@struct_types = args[:struct_types] if args.key?(:struct_types)
@type = args[:type] if args.key?(:type)
end
#
class StructType
include Google::Apis::Core::Hashable
# [Optional] Human-oriented description of the field.
# Corresponds to the JSON property `description`
# @return [String]
attr_accessor :description
# [Optional] The name of this field.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# [Required] The type of this field.
# Corresponds to the JSON property `type`
# @return [Google::Apis::BigqueryV2::QueryParameterType]
attr_accessor :type
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@description = args[:description] if args.key?(:description)
@name = args[:name] if args.key?(:name)
@type = args[:type] if args.key?(:type)
end
end
end
#
class QueryParameterValue
include Google::Apis::Core::Hashable
# [Optional] The array values, if this is an array type.
# Corresponds to the JSON property `arrayValues`
# @return [Array<Google::Apis::BigqueryV2::QueryParameterValue>]
attr_accessor :array_values
# [Optional] The struct field values, in order of the struct type's declaration.
# Corresponds to the JSON property `structValues`
# @return [Hash<String,Google::Apis::BigqueryV2::QueryParameterValue>]
attr_accessor :struct_values
# [Optional] The value of this value, if a simple scalar type.
# Corresponds to the JSON property `value`
# @return [String]
attr_accessor :value
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@array_values = args[:array_values] if args.key?(:array_values)
@struct_values = args[:struct_values] if args.key?(:struct_values)
@value = args[:value] if args.key?(:value)
end
end
#
class QueryRequest
include Google::Apis::Core::Hashable
# Connection properties.
# Corresponds to the JSON property `connectionProperties`
# @return [Array<Google::Apis::BigqueryV2::ConnectionProperty>]
attr_accessor :connection_properties
# [Optional] Specifies the default datasetId and projectId to assume for any
# unqualified table names in the query. If not set, all table names in the query
# string must be qualified in the format 'datasetId.tableId'.
# Corresponds to the JSON property `defaultDataset`
# @return [Google::Apis::BigqueryV2::DatasetReference]
attr_accessor :default_dataset
# [Optional] If set to true, BigQuery doesn't run the job. Instead, if the query
# is valid, BigQuery returns statistics about the job such as how many bytes
# would be processed. If the query is invalid, an error returns. The default
# value is false.
# Corresponds to the JSON property `dryRun`
# @return [Boolean]
attr_accessor :dry_run
alias_method :dry_run?, :dry_run
# The resource type of the request.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# The geographic location where the job should run. See details at https://cloud.
# google.com/bigquery/docs/locations#specifying_your_location.
# Corresponds to the JSON property `location`
# @return [String]
attr_accessor :location
# [Optional] The maximum number of rows of data to return per page of results.
# Setting this flag to a small value such as 1000 and then paging through
# results might improve reliability when the query result set is large. In
# addition to this limit, responses are also limited to 10 MB. By default, there
# is no maximum row count, and only the byte limit applies.
# Corresponds to the JSON property `maxResults`
# @return [Fixnum]
attr_accessor :max_results
# Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or
# to NAMED to use named (@myparam) query parameters in this query.
# Corresponds to the JSON property `parameterMode`
# @return [String]
attr_accessor :parameter_mode
# [Deprecated] This property is deprecated.
# Corresponds to the JSON property `preserveNulls`
# @return [Boolean]
attr_accessor :preserve_nulls
alias_method :preserve_nulls?, :preserve_nulls
# [Required] A query string, following the BigQuery query syntax, of the query
# to execute. Example: "SELECT count(f1) FROM [myProjectId:myDatasetId.myTableId]
# ".
# Corresponds to the JSON property `query`
# @return [String]
attr_accessor :query
# Query parameters for Standard SQL queries.
# Corresponds to the JSON property `queryParameters`
# @return [Array<Google::Apis::BigqueryV2::QueryParameter>]
attr_accessor :query_parameters
# [Optional] How long to wait for the query to complete, in milliseconds, before
# the request times out and returns. Note that this is only a timeout for the
# request, not the query. If the query takes longer to run than the timeout
# value, the call returns without any results and with the 'jobComplete' flag
# set to false. You can call GetQueryResults() to wait for the query to complete
# and read the results. The default value is 10000 milliseconds (10 seconds).
# Corresponds to the JSON property `timeoutMs`
# @return [Fixnum]
attr_accessor :timeout_ms
# Specifies whether to use BigQuery's legacy SQL dialect for this query. The
# default value is true. If set to false, the query will use BigQuery's standard
# SQL: https://cloud.google.com/bigquery/sql-reference/ When useLegacySql is set
# to false, the value of flattenResults is ignored; query will be run as if
# flattenResults is false.
# Corresponds to the JSON property `useLegacySql`
# @return [Boolean]
attr_accessor :use_legacy_sql
alias_method :use_legacy_sql?, :use_legacy_sql
# [Optional] Whether to look for the result in the query cache. The query cache
# is a best-effort cache that will be flushed whenever tables in the query are
# modified. The default value is true.
# Corresponds to the JSON property `useQueryCache`
# @return [Boolean]
attr_accessor :use_query_cache
alias_method :use_query_cache?, :use_query_cache
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@connection_properties = args[:connection_properties] if args.key?(:connection_properties)
@default_dataset = args[:default_dataset] if args.key?(:default_dataset)
@dry_run = args[:dry_run] if args.key?(:dry_run)
@kind = args[:kind] if args.key?(:kind)
@location = args[:location] if args.key?(:location)
@max_results = args[:max_results] if args.key?(:max_results)
@parameter_mode = args[:parameter_mode] if args.key?(:parameter_mode)
@preserve_nulls = args[:preserve_nulls] if args.key?(:preserve_nulls)
@query = args[:query] if args.key?(:query)
@query_parameters = args[:query_parameters] if args.key?(:query_parameters)
@timeout_ms = args[:timeout_ms] if args.key?(:timeout_ms)
@use_legacy_sql = args[:use_legacy_sql] if args.key?(:use_legacy_sql)
@use_query_cache = args[:use_query_cache] if args.key?(:use_query_cache)
end
end
#
class QueryResponse
include Google::Apis::Core::Hashable
# Whether the query result was fetched from the query cache.
# Corresponds to the JSON property `cacheHit`
# @return [Boolean]
attr_accessor :cache_hit
alias_method :cache_hit?, :cache_hit
# [Output-only] The first errors or warnings encountered during the running of
# the job. The final message includes the number of errors that caused the
# process to stop. Errors here do not necessarily mean that the job has
# completed or was unsuccessful.
# Corresponds to the JSON property `errors`
# @return [Array<Google::Apis::BigqueryV2::ErrorProto>]
attr_accessor :errors
# Whether the query has completed or not. If rows or totalRows are present, this
# will always be true. If this is false, totalRows will not be available.
# Corresponds to the JSON property `jobComplete`
# @return [Boolean]
attr_accessor :job_complete
alias_method :job_complete?, :job_complete
# Reference to the Job that was created to run the query. This field will be
# present even if the original request timed out, in which case GetQueryResults
# can be used to read the results once the query has completed. Since this API
# only returns the first page of results, subsequent pages can be fetched via
# the same mechanism (GetQueryResults).
# Corresponds to the JSON property `jobReference`
# @return [Google::Apis::BigqueryV2::JobReference]
attr_accessor :job_reference
# The resource type.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# [Output-only] The number of rows affected by a DML statement. Present only for
# DML statements INSERT, UPDATE or DELETE.
# Corresponds to the JSON property `numDmlAffectedRows`
# @return [Fixnum]
attr_accessor :num_dml_affected_rows
# A token used for paging results.
# Corresponds to the JSON property `pageToken`
# @return [String]
attr_accessor :page_token
# An object with as many results as can be contained within the maximum
# permitted reply size. To get any additional rows, you can call GetQueryResults
# and specify the jobReference returned above.
# Corresponds to the JSON property `rows`
# @return [Array<Google::Apis::BigqueryV2::TableRow>]
attr_accessor :rows
# The schema of the results. Present only when the query completes successfully.
# Corresponds to the JSON property `schema`
# @return [Google::Apis::BigqueryV2::TableSchema]
attr_accessor :schema
# The total number of bytes processed for this query. If this query was a dry
# run, this is the number of bytes that would be processed if the query were run.
# Corresponds to the JSON property `totalBytesProcessed`
# @return [Fixnum]
attr_accessor :total_bytes_processed
# The total number of rows in the complete query result set, which can be more
# than the number of rows in this single page of results.
# Corresponds to the JSON property `totalRows`
# @return [Fixnum]
attr_accessor :total_rows
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@cache_hit = args[:cache_hit] if args.key?(:cache_hit)
@errors = args[:errors] if args.key?(:errors)
@job_complete = args[:job_complete] if args.key?(:job_complete)
@job_reference = args[:job_reference] if args.key?(:job_reference)
@kind = args[:kind] if args.key?(:kind)
@num_dml_affected_rows = args[:num_dml_affected_rows] if args.key?(:num_dml_affected_rows)
@page_token = args[:page_token] if args.key?(:page_token)
@rows = args[:rows] if args.key?(:rows)
@schema = args[:schema] if args.key?(:schema)
@total_bytes_processed = args[:total_bytes_processed] if args.key?(:total_bytes_processed)
@total_rows = args[:total_rows] if args.key?(:total_rows)
end
end
#
class QueryTimelineSample
include Google::Apis::Core::Hashable
# Total number of units currently being processed by workers. This does not
# correspond directly to slot usage. This is the largest value observed since
# the last sample.
# Corresponds to the JSON property `activeUnits`
# @return [Fixnum]
attr_accessor :active_units
# Total parallel units of work completed by this query.
# Corresponds to the JSON property `completedUnits`
# @return [Fixnum]
attr_accessor :completed_units
# Milliseconds elapsed since the start of query execution.
# Corresponds to the JSON property `elapsedMs`
# @return [Fixnum]
attr_accessor :elapsed_ms
# Total parallel units of work remaining for the active stages.
# Corresponds to the JSON property `pendingUnits`
# @return [Fixnum]
attr_accessor :pending_units
# Cumulative slot-ms consumed by the query.
# Corresponds to the JSON property `totalSlotMs`
# @return [Fixnum]
attr_accessor :total_slot_ms
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@active_units = args[:active_units] if args.key?(:active_units)
@completed_units = args[:completed_units] if args.key?(:completed_units)
@elapsed_ms = args[:elapsed_ms] if args.key?(:elapsed_ms)
@pending_units = args[:pending_units] if args.key?(:pending_units)
@total_slot_ms = args[:total_slot_ms] if args.key?(:total_slot_ms)
end
end
#
class RangePartitioning
include Google::Apis::Core::Hashable
# [TrustedTester] [Required] The table is partitioned by this field. The field
# must be a top-level NULLABLE/REQUIRED field. The only supported type is
# INTEGER/INT64.
# Corresponds to the JSON property `field`
# @return [String]
attr_accessor :field
# [TrustedTester] [Required] Defines the ranges for range partitioning.
# Corresponds to the JSON property `range`
# @return [Google::Apis::BigqueryV2::RangePartitioning::Range]
attr_accessor :range
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@field = args[:field] if args.key?(:field)
@range = args[:range] if args.key?(:range)
end
# [TrustedTester] [Required] Defines the ranges for range partitioning.
class Range
include Google::Apis::Core::Hashable
# [TrustedTester] [Required] The end of range partitioning, exclusive.
# Corresponds to the JSON property `end`
# @return [Fixnum]
attr_accessor :end
# [TrustedTester] [Required] The width of each interval.
# Corresponds to the JSON property `interval`
# @return [Fixnum]
attr_accessor :interval
# [TrustedTester] [Required] The start of range partitioning, inclusive.
# Corresponds to the JSON property `start`
# @return [Fixnum]
attr_accessor :start
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@end = args[:end] if args.key?(:end)
@interval = args[:interval] if args.key?(:interval)
@start = args[:start] if args.key?(:start)
end
end
end
# Evaluation metrics used by weighted-ALS models specified by
# feedback_type=implicit.
class RankingMetrics
include Google::Apis::Core::Hashable
# Determines the goodness of a ranking by computing the percentile rank
# from the predicted confidence and dividing it by the original rank.
# Corresponds to the JSON property `averageRank`
# @return [Float]
attr_accessor :average_rank
# Calculates a precision per user for all the items by ranking them and
# then averages all the precisions across all the users.
# Corresponds to the JSON property `meanAveragePrecision`
# @return [Float]
attr_accessor :mean_average_precision
# Similar to the mean squared error computed in regression and explicit
# recommendation models except instead of computing the rating directly,
# the output from evaluate is computed against a preference which is 1 or 0
# depending on if the rating exists or not.
# Corresponds to the JSON property `meanSquaredError`
# @return [Float]
attr_accessor :mean_squared_error
# A metric to determine the goodness of a ranking calculated from the
# predicted confidence by comparing it to an ideal rank measured by the
# original ratings.
# Corresponds to the JSON property `normalizedDiscountedCumulativeGain`
# @return [Float]
attr_accessor :normalized_discounted_cumulative_gain
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@average_rank = args[:average_rank] if args.key?(:average_rank)
@mean_average_precision = args[:mean_average_precision] if args.key?(:mean_average_precision)
@mean_squared_error = args[:mean_squared_error] if args.key?(:mean_squared_error)
@normalized_discounted_cumulative_gain = args[:normalized_discounted_cumulative_gain] if args.key?(:normalized_discounted_cumulative_gain)
end
end
# Evaluation metrics for regression and explicit feedback type matrix
# factorization models.
class RegressionMetrics
include Google::Apis::Core::Hashable
# Mean absolute error.
# Corresponds to the JSON property `meanAbsoluteError`
# @return [Float]
attr_accessor :mean_absolute_error
# Mean squared error.
# Corresponds to the JSON property `meanSquaredError`
# @return [Float]
attr_accessor :mean_squared_error
# Mean squared log error.
# Corresponds to the JSON property `meanSquaredLogError`
# @return [Float]
attr_accessor :mean_squared_log_error
# Median absolute error.
# Corresponds to the JSON property `medianAbsoluteError`
# @return [Float]
attr_accessor :median_absolute_error
# R^2 score.
# Corresponds to the JSON property `rSquared`
# @return [Float]
attr_accessor :r_squared
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@mean_absolute_error = args[:mean_absolute_error] if args.key?(:mean_absolute_error)
@mean_squared_error = args[:mean_squared_error] if args.key?(:mean_squared_error)
@mean_squared_log_error = args[:mean_squared_log_error] if args.key?(:mean_squared_log_error)
@median_absolute_error = args[:median_absolute_error] if args.key?(:median_absolute_error)
@r_squared = args[:r_squared] if args.key?(:r_squared)
end
end
# A user-defined function or a stored procedure.
class Routine
include Google::Apis::Core::Hashable
# Optional.
# Corresponds to the JSON property `arguments`
# @return [Array<Google::Apis::BigqueryV2::Argument>]
attr_accessor :arguments
# Output only. The time when this routine was created, in milliseconds since
# the epoch.
# Corresponds to the JSON property `creationTime`
# @return [Fixnum]
attr_accessor :creation_time
# Required. The body of the routine.
# For functions, this is the expression in the AS clause.
# If language=SQL, it is the substring inside (but excluding) the
# parentheses. For example, for the function created with the following
# statement:
# `CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y))`
# The definition_body is `concat(x, "\n", y)` (\n is not replaced with
# linebreak).
# If language=JAVASCRIPT, it is the evaluated string in the AS clause.
# For example, for the function created with the following statement:
# `CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n'`
# The definition_body is
# `return "\n";\n`
# Note that both \n are replaced with linebreaks.
# Corresponds to the JSON property `definitionBody`
# @return [String]
attr_accessor :definition_body
# Optional. [Experimental] The description of the routine if defined.
# Corresponds to the JSON property `description`
# @return [String]
attr_accessor :description
# Output only. A hash of this resource.
# Corresponds to the JSON property `etag`
# @return [String]
attr_accessor :etag
# Optional. If language = "JAVASCRIPT", this field stores the path of the
# imported JAVASCRIPT libraries.
# Corresponds to the JSON property `importedLibraries`
# @return [Array<String>]
attr_accessor :imported_libraries
# Optional. Defaults to "SQL".
# Corresponds to the JSON property `language`
# @return [String]
attr_accessor :language
# Output only. The time when this routine was last modified, in milliseconds
# since the epoch.
# Corresponds to the JSON property `lastModifiedTime`
# @return [Fixnum]
attr_accessor :last_modified_time
# The type of a variable, e.g., a function argument.
# Examples:
# INT64: `type_kind="INT64"`
# ARRAY<STRING>: `type_kind="ARRAY", array_element_type="STRING"`
# STRUCT<x STRING, y ARRAY<DATE>>:
# `type_kind="STRUCT",
# struct_type=`fields=[
# `name="x", type=`type_kind="STRING"``,
# `name="y", type=`type_kind="ARRAY", array_element_type="DATE"``
# ]``
# Corresponds to the JSON property `returnType`
# @return [Google::Apis::BigqueryV2::StandardSqlDataType]
attr_accessor :return_type
# Required. Reference describing the ID of this routine.
# Corresponds to the JSON property `routineReference`
# @return [Google::Apis::BigqueryV2::RoutineReference]
attr_accessor :routine_reference
# Required. The type of routine.
# Corresponds to the JSON property `routineType`
# @return [String]
attr_accessor :routine_type
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@arguments = args[:arguments] if args.key?(:arguments)
@creation_time = args[:creation_time] if args.key?(:creation_time)
@definition_body = args[:definition_body] if args.key?(:definition_body)
@description = args[:description] if args.key?(:description)
@etag = args[:etag] if args.key?(:etag)
@imported_libraries = args[:imported_libraries] if args.key?(:imported_libraries)
@language = args[:language] if args.key?(:language)
@last_modified_time = args[:last_modified_time] if args.key?(:last_modified_time)
@return_type = args[:return_type] if args.key?(:return_type)
@routine_reference = args[:routine_reference] if args.key?(:routine_reference)
@routine_type = args[:routine_type] if args.key?(:routine_type)
end
end
#
class RoutineReference
include Google::Apis::Core::Hashable
# [Required] The ID of the dataset containing this routine.
# Corresponds to the JSON property `datasetId`
# @return [String]
attr_accessor :dataset_id
# [Required] The ID of the project containing this routine.
# Corresponds to the JSON property `projectId`
# @return [String]
attr_accessor :project_id
# [Required] The ID of the routine. The ID must contain only letters (a-z, A-Z),
# numbers (0-9), or underscores (_). The maximum length is 256 characters.
# Corresponds to the JSON property `routineId`
# @return [String]
attr_accessor :routine_id
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@dataset_id = args[:dataset_id] if args.key?(:dataset_id)
@project_id = args[:project_id] if args.key?(:project_id)
@routine_id = args[:routine_id] if args.key?(:routine_id)
end
end
# A single row in the confusion matrix.
class Row
include Google::Apis::Core::Hashable
# The original label of this row.
# Corresponds to the JSON property `actualLabel`
# @return [String]
attr_accessor :actual_label
# Info describing predicted label distribution.
# Corresponds to the JSON property `entries`
# @return [Array<Google::Apis::BigqueryV2::Entry>]
attr_accessor :entries
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@actual_label = args[:actual_label] if args.key?(:actual_label)
@entries = args[:entries] if args.key?(:entries)
end
end
#
class RowAccessPolicyReference
include Google::Apis::Core::Hashable
# [Required] The ID of the dataset containing this row access policy.
# Corresponds to the JSON property `datasetId`
# @return [String]
attr_accessor :dataset_id
# [Required] The ID of the row access policy. The ID must contain only letters (
# a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256
# characters.
# Corresponds to the JSON property `policyId`
# @return [String]
attr_accessor :policy_id
# [Required] The ID of the project containing this row access policy.
# Corresponds to the JSON property `projectId`
# @return [String]
attr_accessor :project_id
# [Required] The ID of the table containing this row access policy.
# Corresponds to the JSON property `tableId`
# @return [String]
attr_accessor :table_id
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@dataset_id = args[:dataset_id] if args.key?(:dataset_id)
@policy_id = args[:policy_id] if args.key?(:policy_id)
@project_id = args[:project_id] if args.key?(:project_id)
@table_id = args[:table_id] if args.key?(:table_id)
end
end
#
class RowLevelSecurityStatistics
include Google::Apis::Core::Hashable
# [Output-only] [Preview] Whether any accessed data was protected by row access
# policies.
# Corresponds to the JSON property `rowLevelSecurityApplied`
# @return [Boolean]
attr_accessor :row_level_security_applied
alias_method :row_level_security_applied?, :row_level_security_applied
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@row_level_security_applied = args[:row_level_security_applied] if args.key?(:row_level_security_applied)
end
end
#
class ScriptStackFrame
include Google::Apis::Core::Hashable
# [Output-only] One-based end column.
# Corresponds to the JSON property `endColumn`
# @return [Fixnum]
attr_accessor :end_column
# [Output-only] One-based end line.
# Corresponds to the JSON property `endLine`
# @return [Fixnum]
attr_accessor :end_line
# [Output-only] Name of the active procedure, empty if in a top-level script.
# Corresponds to the JSON property `procedureId`
# @return [String]
attr_accessor :procedure_id
# [Output-only] One-based start column.
# Corresponds to the JSON property `startColumn`
# @return [Fixnum]
attr_accessor :start_column
# [Output-only] One-based start line.
# Corresponds to the JSON property `startLine`
# @return [Fixnum]
attr_accessor :start_line
# [Output-only] Text of the current statement/expression.
# Corresponds to the JSON property `text`
# @return [String]
attr_accessor :text
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@end_column = args[:end_column] if args.key?(:end_column)
@end_line = args[:end_line] if args.key?(:end_line)
@procedure_id = args[:procedure_id] if args.key?(:procedure_id)
@start_column = args[:start_column] if args.key?(:start_column)
@start_line = args[:start_line] if args.key?(:start_line)
@text = args[:text] if args.key?(:text)
end
end
#
class ScriptStatistics
include Google::Apis::Core::Hashable
# [Output-only] Whether this child job was a statement or expression.
# Corresponds to the JSON property `evaluationKind`
# @return [String]
attr_accessor :evaluation_kind
# Stack trace showing the line/column/procedure name of each frame on the stack
# at the point where the current evaluation happened. The leaf frame is first,
# the primary script is last. Never empty.
# Corresponds to the JSON property `stackFrames`
# @return [Array<Google::Apis::BigqueryV2::ScriptStackFrame>]
attr_accessor :stack_frames
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@evaluation_kind = args[:evaluation_kind] if args.key?(:evaluation_kind)
@stack_frames = args[:stack_frames] if args.key?(:stack_frames)
end
end
# The type of a variable, e.g., a function argument.
# Examples:
# INT64: `type_kind="INT64"`
# ARRAY<STRING>: `type_kind="ARRAY", array_element_type="STRING"`
# STRUCT<x STRING, y ARRAY<DATE>>:
# `type_kind="STRUCT",
# struct_type=`fields=[
# `name="x", type=`type_kind="STRING"``,
# `name="y", type=`type_kind="ARRAY", array_element_type="DATE"``
# ]``
class StandardSqlDataType
include Google::Apis::Core::Hashable
# The type of a variable, e.g., a function argument.
# Examples:
# INT64: `type_kind="INT64"`
# ARRAY<STRING>: `type_kind="ARRAY", array_element_type="STRING"`
# STRUCT<x STRING, y ARRAY<DATE>>:
# `type_kind="STRUCT",
# struct_type=`fields=[
# `name="x", type=`type_kind="STRING"``,
# `name="y", type=`type_kind="ARRAY", array_element_type="DATE"``
# ]``
# Corresponds to the JSON property `arrayElementType`
# @return [Google::Apis::BigqueryV2::StandardSqlDataType]
attr_accessor :array_element_type
# The fields of this struct, in order, if type_kind = "STRUCT".
# Corresponds to the JSON property `structType`
# @return [Google::Apis::BigqueryV2::StandardSqlStructType]
attr_accessor :struct_type
# Required. The top level type of this field.
# Can be any standard SQL data type (e.g., "INT64", "DATE", "ARRAY").
# Corresponds to the JSON property `typeKind`
# @return [String]
attr_accessor :type_kind
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@array_element_type = args[:array_element_type] if args.key?(:array_element_type)
@struct_type = args[:struct_type] if args.key?(:struct_type)
@type_kind = args[:type_kind] if args.key?(:type_kind)
end
end
# A field or a column.
class StandardSqlField
include Google::Apis::Core::Hashable
# Optional. The name of this field. Can be absent for struct fields.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# The type of a variable, e.g., a function argument.
# Examples:
# INT64: `type_kind="INT64"`
# ARRAY<STRING>: `type_kind="ARRAY", array_element_type="STRING"`
# STRUCT<x STRING, y ARRAY<DATE>>:
# `type_kind="STRUCT",
# struct_type=`fields=[
# `name="x", type=`type_kind="STRING"``,
# `name="y", type=`type_kind="ARRAY", array_element_type="DATE"``
# ]``
# Corresponds to the JSON property `type`
# @return [Google::Apis::BigqueryV2::StandardSqlDataType]
attr_accessor :type
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@name = args[:name] if args.key?(:name)
@type = args[:type] if args.key?(:type)
end
end
#
class StandardSqlStructType
include Google::Apis::Core::Hashable
#
# Corresponds to the JSON property `fields`
# @return [Array<Google::Apis::BigqueryV2::StandardSqlField>]
attr_accessor :fields
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@fields = args[:fields] if args.key?(:fields)
end
end
#
class Streamingbuffer
include Google::Apis::Core::Hashable
# [Output-only] A lower-bound estimate of the number of bytes currently in the
# streaming buffer.
# Corresponds to the JSON property `estimatedBytes`
# @return [Fixnum]
attr_accessor :estimated_bytes
# [Output-only] A lower-bound estimate of the number of rows currently in the
# streaming buffer.
# Corresponds to the JSON property `estimatedRows`
# @return [Fixnum]
attr_accessor :estimated_rows
# [Output-only] Contains the timestamp of the oldest entry in the streaming
# buffer, in milliseconds since the epoch, if the streaming buffer is available.
# Corresponds to the JSON property `oldestEntryTime`
# @return [Fixnum]
attr_accessor :oldest_entry_time
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@estimated_bytes = args[:estimated_bytes] if args.key?(:estimated_bytes)
@estimated_rows = args[:estimated_rows] if args.key?(:estimated_rows)
@oldest_entry_time = args[:oldest_entry_time] if args.key?(:oldest_entry_time)
end
end
#
class Table
include Google::Apis::Core::Hashable
# [Beta] Clustering specification for the table. Must be specified with
# partitioning, data in the table will be first partitioned and subsequently
# clustered.
# Corresponds to the JSON property `clustering`
# @return [Google::Apis::BigqueryV2::Clustering]
attr_accessor :clustering
# [Output-only] The time when this table was created, in milliseconds since the
# epoch.
# Corresponds to the JSON property `creationTime`
# @return [Fixnum]
attr_accessor :creation_time
# [Optional] A user-friendly description of this table.
# Corresponds to the JSON property `description`
# @return [String]
attr_accessor :description
# Custom encryption configuration (e.g., Cloud KMS keys).
# Corresponds to the JSON property `encryptionConfiguration`
# @return [Google::Apis::BigqueryV2::EncryptionConfiguration]
attr_accessor :encryption_configuration
# [Output-only] A hash of the table metadata. Used to ensure there were no
# concurrent modifications to the resource when attempting an update. Not
# guaranteed to change when the table contents or the fields numRows, numBytes,
# numLongTermBytes or lastModifiedTime change.
# Corresponds to the JSON property `etag`
# @return [String]
attr_accessor :etag
# [Optional] The time when this table expires, in milliseconds since the epoch.
# If not present, the table will persist indefinitely. Expired tables will be
# deleted and their storage reclaimed. The defaultTableExpirationMs property of
# the encapsulating dataset can be used to set a default expirationTime on newly
# created tables.
# Corresponds to the JSON property `expirationTime`
# @return [Fixnum]
attr_accessor :expiration_time
# [Optional] Describes the data format, location, and other properties of a
# table stored outside of BigQuery. By defining these properties, the data
# source can then be queried as if it were a standard BigQuery table.
# Corresponds to the JSON property `externalDataConfiguration`
# @return [Google::Apis::BigqueryV2::ExternalDataConfiguration]
attr_accessor :external_data_configuration
# [Optional] A descriptive name for this table.
# Corresponds to the JSON property `friendlyName`
# @return [String]
attr_accessor :friendly_name
# [Output-only] An opaque ID uniquely identifying the table.
# Corresponds to the JSON property `id`
# @return [String]
attr_accessor :id
# [Output-only] The type of the resource.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# The labels associated with this table. You can use these to organize and group
# your tables. Label keys and values can be no longer than 63 characters, can
# only contain lowercase letters, numeric characters, underscores and dashes.
# International characters are allowed. Label values are optional. Label keys
# must start with a letter and each label in the list must have a different key.
# Corresponds to the JSON property `labels`
# @return [Hash<String,String>]
attr_accessor :labels
# [Output-only] The time when this table was last modified, in milliseconds
# since the epoch.
# Corresponds to the JSON property `lastModifiedTime`
# @return [Fixnum]
attr_accessor :last_modified_time
# [Output-only] The geographic location where the table resides. This value is
# inherited from the dataset.
# Corresponds to the JSON property `location`
# @return [String]
attr_accessor :location
# [Optional] Materialized view definition.
# Corresponds to the JSON property `materializedView`
# @return [Google::Apis::BigqueryV2::MaterializedViewDefinition]
attr_accessor :materialized_view
# [Output-only, Beta] Present iff this table represents a ML model. Describes
# the training information for the model, and it is required to run 'PREDICT'
# queries.
# Corresponds to the JSON property `model`
# @return [Google::Apis::BigqueryV2::ModelDefinition]
attr_accessor :model
# [Output-only] The size of this table in bytes, excluding any data in the
# streaming buffer.
# Corresponds to the JSON property `numBytes`
# @return [Fixnum]
attr_accessor :num_bytes
# [Output-only] The number of bytes in the table that are considered "long-term
# storage".
# Corresponds to the JSON property `numLongTermBytes`
# @return [Fixnum]
attr_accessor :num_long_term_bytes
# [Output-only] [TrustedTester] The physical size of this table in bytes,
# excluding any data in the streaming buffer. This includes compression and
# storage used for time travel.
# Corresponds to the JSON property `numPhysicalBytes`
# @return [Fixnum]
attr_accessor :num_physical_bytes
# [Output-only] The number of rows of data in this table, excluding any data in
# the streaming buffer.
# Corresponds to the JSON property `numRows`
# @return [Fixnum]
attr_accessor :num_rows
# [TrustedTester] Range partitioning specification for this table. Only one of
# timePartitioning and rangePartitioning should be specified.
# Corresponds to the JSON property `rangePartitioning`
# @return [Google::Apis::BigqueryV2::RangePartitioning]
attr_accessor :range_partitioning
# [Optional] If set to true, queries over this table require a partition filter
# that can be used for partition elimination to be specified.
# Corresponds to the JSON property `requirePartitionFilter`
# @return [Boolean]
attr_accessor :require_partition_filter
alias_method :require_partition_filter?, :require_partition_filter
# [Optional] Describes the schema of this table.
# Corresponds to the JSON property `schema`
# @return [Google::Apis::BigqueryV2::TableSchema]
attr_accessor :schema
# [Output-only] A URL that can be used to access this resource again.
# Corresponds to the JSON property `selfLink`
# @return [String]
attr_accessor :self_link
# [Output-only] Contains information regarding this table's streaming buffer, if
# one is present. This field will be absent if the table is not being streamed
# to or if there is no data in the streaming buffer.
# Corresponds to the JSON property `streamingBuffer`
# @return [Google::Apis::BigqueryV2::Streamingbuffer]
attr_accessor :streaming_buffer
# [Required] Reference describing the ID of this table.
# Corresponds to the JSON property `tableReference`
# @return [Google::Apis::BigqueryV2::TableReference]
attr_accessor :table_reference
# Time-based partitioning specification for this table. Only one of
# timePartitioning and rangePartitioning should be specified.
# Corresponds to the JSON property `timePartitioning`
# @return [Google::Apis::BigqueryV2::TimePartitioning]
attr_accessor :time_partitioning
# [Output-only] Describes the table type. The following values are supported:
# TABLE: A normal BigQuery table. VIEW: A virtual table defined by a SQL query. [
# TrustedTester] MATERIALIZED_VIEW: SQL query whose result is persisted.
# EXTERNAL: A table that references data stored in an external storage system,
# such as Google Cloud Storage. The default value is TABLE.
# Corresponds to the JSON property `type`
# @return [String]
attr_accessor :type
# [Optional] The view definition.
# Corresponds to the JSON property `view`
# @return [Google::Apis::BigqueryV2::ViewDefinition]
attr_accessor :view
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@clustering = args[:clustering] if args.key?(:clustering)
@creation_time = args[:creation_time] if args.key?(:creation_time)
@description = args[:description] if args.key?(:description)
@encryption_configuration = args[:encryption_configuration] if args.key?(:encryption_configuration)
@etag = args[:etag] if args.key?(:etag)
@expiration_time = args[:expiration_time] if args.key?(:expiration_time)
@external_data_configuration = args[:external_data_configuration] if args.key?(:external_data_configuration)
@friendly_name = args[:friendly_name] if args.key?(:friendly_name)
@id = args[:id] if args.key?(:id)
@kind = args[:kind] if args.key?(:kind)
@labels = args[:labels] if args.key?(:labels)
@last_modified_time = args[:last_modified_time] if args.key?(:last_modified_time)
@location = args[:location] if args.key?(:location)
@materialized_view = args[:materialized_view] if args.key?(:materialized_view)
@model = args[:model] if args.key?(:model)
@num_bytes = args[:num_bytes] if args.key?(:num_bytes)
@num_long_term_bytes = args[:num_long_term_bytes] if args.key?(:num_long_term_bytes)
@num_physical_bytes = args[:num_physical_bytes] if args.key?(:num_physical_bytes)
@num_rows = args[:num_rows] if args.key?(:num_rows)
@range_partitioning = args[:range_partitioning] if args.key?(:range_partitioning)
@require_partition_filter = args[:require_partition_filter] if args.key?(:require_partition_filter)
@schema = args[:schema] if args.key?(:schema)
@self_link = args[:self_link] if args.key?(:self_link)
@streaming_buffer = args[:streaming_buffer] if args.key?(:streaming_buffer)
@table_reference = args[:table_reference] if args.key?(:table_reference)
@time_partitioning = args[:time_partitioning] if args.key?(:time_partitioning)
@type = args[:type] if args.key?(:type)
@view = args[:view] if args.key?(:view)
end
end
#
class TableCell
include Google::Apis::Core::Hashable
#
# Corresponds to the JSON property `v`
# @return [Object]
attr_accessor :v
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@v = args[:v] if args.key?(:v)
end
end
#
class InsertAllTableDataRequest
include Google::Apis::Core::Hashable
# [Optional] Accept rows that contain values that do not match the schema. The
# unknown values are ignored. Default is false, which treats unknown values as
# errors.
# Corresponds to the JSON property `ignoreUnknownValues`
# @return [Boolean]
attr_accessor :ignore_unknown_values
alias_method :ignore_unknown_values?, :ignore_unknown_values
# The resource type of the response.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# The rows to insert.
# Corresponds to the JSON property `rows`
# @return [Array<Google::Apis::BigqueryV2::InsertAllTableDataRequest::Row>]
attr_accessor :rows
# [Optional] Insert all valid rows of a request, even if invalid rows exist. The
# default value is false, which causes the entire request to fail if any invalid
# rows exist.
# Corresponds to the JSON property `skipInvalidRows`
# @return [Boolean]
attr_accessor :skip_invalid_rows
alias_method :skip_invalid_rows?, :skip_invalid_rows
# If specified, treats the destination table as a base template, and inserts the
# rows into an instance table named "`destination``templateSuffix`". BigQuery
# will manage creation of the instance table, using the schema of the base
# template table. See https://cloud.google.com/bigquery/streaming-data-into-
# bigquery#template-tables for considerations when working with templates tables.
# Corresponds to the JSON property `templateSuffix`
# @return [String]
attr_accessor :template_suffix
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@ignore_unknown_values = args[:ignore_unknown_values] if args.key?(:ignore_unknown_values)
@kind = args[:kind] if args.key?(:kind)
@rows = args[:rows] if args.key?(:rows)
@skip_invalid_rows = args[:skip_invalid_rows] if args.key?(:skip_invalid_rows)
@template_suffix = args[:template_suffix] if args.key?(:template_suffix)
end
#
class Row
include Google::Apis::Core::Hashable
# [Optional] A unique ID for each row. BigQuery uses this property to detect
# duplicate insertion requests on a best-effort basis.
# Corresponds to the JSON property `insertId`
# @return [String]
attr_accessor :insert_id
# Represents a single JSON object.
# Corresponds to the JSON property `json`
# @return [Hash<String,Object>]
attr_accessor :json
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@insert_id = args[:insert_id] if args.key?(:insert_id)
@json = args[:json] if args.key?(:json)
end
end
end
#
class InsertAllTableDataResponse
include Google::Apis::Core::Hashable
# An array of errors for rows that were not inserted.
# Corresponds to the JSON property `insertErrors`
# @return [Array<Google::Apis::BigqueryV2::InsertAllTableDataResponse::InsertError>]
attr_accessor :insert_errors
# The resource type of the response.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@insert_errors = args[:insert_errors] if args.key?(:insert_errors)
@kind = args[:kind] if args.key?(:kind)
end
#
class InsertError
include Google::Apis::Core::Hashable
# Error information for the row indicated by the index property.
# Corresponds to the JSON property `errors`
# @return [Array<Google::Apis::BigqueryV2::ErrorProto>]
attr_accessor :errors
# The index of the row that error applies to.
# Corresponds to the JSON property `index`
# @return [Fixnum]
attr_accessor :index
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@errors = args[:errors] if args.key?(:errors)
@index = args[:index] if args.key?(:index)
end
end
end
#
class TableDataList
include Google::Apis::Core::Hashable
# A hash of this page of results.
# Corresponds to the JSON property `etag`
# @return [String]
attr_accessor :etag
# The resource type of the response.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# A token used for paging results. Providing this token instead of the
# startIndex parameter can help you retrieve stable results when an underlying
# table is changing.
# Corresponds to the JSON property `pageToken`
# @return [String]
attr_accessor :page_token
# Rows of results.
# Corresponds to the JSON property `rows`
# @return [Array<Google::Apis::BigqueryV2::TableRow>]
attr_accessor :rows
# The total number of rows in the complete table.
# Corresponds to the JSON property `totalRows`
# @return [Fixnum]
attr_accessor :total_rows
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@etag = args[:etag] if args.key?(:etag)
@kind = args[:kind] if args.key?(:kind)
@page_token = args[:page_token] if args.key?(:page_token)
@rows = args[:rows] if args.key?(:rows)
@total_rows = args[:total_rows] if args.key?(:total_rows)
end
end
#
class TableFieldSchema
include Google::Apis::Core::Hashable
# [Optional] The categories attached to this field, used for field-level access
# control.
# Corresponds to the JSON property `categories`
# @return [Google::Apis::BigqueryV2::TableFieldSchema::Categories]
attr_accessor :categories
# [Optional] The field description. The maximum length is 1,024 characters.
# Corresponds to the JSON property `description`
# @return [String]
attr_accessor :description
# [Optional] Describes the nested schema fields if the type property is set to
# RECORD.
# Corresponds to the JSON property `fields`
# @return [Array<Google::Apis::BigqueryV2::TableFieldSchema>]
attr_accessor :fields
# [Optional] The field mode. Possible values include NULLABLE, REQUIRED and
# REPEATED. The default value is NULLABLE.
# Corresponds to the JSON property `mode`
# @return [String]
attr_accessor :mode
# [Required] The field name. The name must contain only letters (a-z, A-Z),
# numbers (0-9), or underscores (_), and must start with a letter or underscore.
# The maximum length is 128 characters.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
#
# Corresponds to the JSON property `policyTags`
# @return [Google::Apis::BigqueryV2::TableFieldSchema::PolicyTags]
attr_accessor :policy_tags
# [Required] The field data type. Possible values include STRING, BYTES, INTEGER,
# INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), BOOLEAN, BOOL (same
# as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, RECORD (where RECORD indicates
# that the field contains a nested schema) or STRUCT (same as RECORD).
# Corresponds to the JSON property `type`
# @return [String]
attr_accessor :type
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@categories = args[:categories] if args.key?(:categories)
@description = args[:description] if args.key?(:description)
@fields = args[:fields] if args.key?(:fields)
@mode = args[:mode] if args.key?(:mode)
@name = args[:name] if args.key?(:name)
@policy_tags = args[:policy_tags] if args.key?(:policy_tags)
@type = args[:type] if args.key?(:type)
end
# [Optional] The categories attached to this field, used for field-level access
# control.
class Categories
include Google::Apis::Core::Hashable
# A list of category resource names. For example, "projects/1/taxonomies/2/
# categories/3". At most 5 categories are allowed.
# Corresponds to the JSON property `names`
# @return [Array<String>]
attr_accessor :names
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@names = args[:names] if args.key?(:names)
end
end
#
class PolicyTags
include Google::Apis::Core::Hashable
# A list of category resource names. For example, "projects/1/location/eu/
# taxonomies/2/policyTags/3". At most 1 policy tag is allowed.
# Corresponds to the JSON property `names`
# @return [Array<String>]
attr_accessor :names
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@names = args[:names] if args.key?(:names)
end
end
end
#
class TableList
include Google::Apis::Core::Hashable
# A hash of this page of results.
# Corresponds to the JSON property `etag`
# @return [String]
attr_accessor :etag
# The type of list.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# A token to request the next page of results.
# Corresponds to the JSON property `nextPageToken`
# @return [String]
attr_accessor :next_page_token
# Tables in the requested dataset.
# Corresponds to the JSON property `tables`
# @return [Array<Google::Apis::BigqueryV2::TableList::Table>]
attr_accessor :tables
# The total number of tables in the dataset.
# Corresponds to the JSON property `totalItems`
# @return [Fixnum]
attr_accessor :total_items
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@etag = args[:etag] if args.key?(:etag)
@kind = args[:kind] if args.key?(:kind)
@next_page_token = args[:next_page_token] if args.key?(:next_page_token)
@tables = args[:tables] if args.key?(:tables)
@total_items = args[:total_items] if args.key?(:total_items)
end
#
class Table
include Google::Apis::Core::Hashable
# [Beta] Clustering specification for this table, if configured.
# Corresponds to the JSON property `clustering`
# @return [Google::Apis::BigqueryV2::Clustering]
attr_accessor :clustering
# The time when this table was created, in milliseconds since the epoch.
# Corresponds to the JSON property `creationTime`
# @return [Fixnum]
attr_accessor :creation_time
# [Optional] The time when this table expires, in milliseconds since the epoch.
# If not present, the table will persist indefinitely. Expired tables will be
# deleted and their storage reclaimed.
# Corresponds to the JSON property `expirationTime`
# @return [Fixnum]
attr_accessor :expiration_time
# The user-friendly name for this table.
# Corresponds to the JSON property `friendlyName`
# @return [String]
attr_accessor :friendly_name
# An opaque ID of the table
# Corresponds to the JSON property `id`
# @return [String]
attr_accessor :id
# The resource type.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# The labels associated with this table. You can use these to organize and group
# your tables.
# Corresponds to the JSON property `labels`
# @return [Hash<String,String>]
attr_accessor :labels
# The range partitioning specification for this table, if configured.
# Corresponds to the JSON property `rangePartitioning`
# @return [Google::Apis::BigqueryV2::RangePartitioning]
attr_accessor :range_partitioning
# A reference uniquely identifying the table.
# Corresponds to the JSON property `tableReference`
# @return [Google::Apis::BigqueryV2::TableReference]
attr_accessor :table_reference
# The time-based partitioning specification for this table, if configured.
# Corresponds to the JSON property `timePartitioning`
# @return [Google::Apis::BigqueryV2::TimePartitioning]
attr_accessor :time_partitioning
# The type of table. Possible values are: TABLE, VIEW.
# Corresponds to the JSON property `type`
# @return [String]
attr_accessor :type
# Additional details for a view.
# Corresponds to the JSON property `view`
# @return [Google::Apis::BigqueryV2::TableList::Table::View]
attr_accessor :view
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@clustering = args[:clustering] if args.key?(:clustering)
@creation_time = args[:creation_time] if args.key?(:creation_time)
@expiration_time = args[:expiration_time] if args.key?(:expiration_time)
@friendly_name = args[:friendly_name] if args.key?(:friendly_name)
@id = args[:id] if args.key?(:id)
@kind = args[:kind] if args.key?(:kind)
@labels = args[:labels] if args.key?(:labels)
@range_partitioning = args[:range_partitioning] if args.key?(:range_partitioning)
@table_reference = args[:table_reference] if args.key?(:table_reference)
@time_partitioning = args[:time_partitioning] if args.key?(:time_partitioning)
@type = args[:type] if args.key?(:type)
@view = args[:view] if args.key?(:view)
end
# Additional details for a view.
class View
include Google::Apis::Core::Hashable
# True if view is defined in legacy SQL dialect, false if in standard SQL.
# Corresponds to the JSON property `useLegacySql`
# @return [Boolean]
attr_accessor :use_legacy_sql
alias_method :use_legacy_sql?, :use_legacy_sql
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@use_legacy_sql = args[:use_legacy_sql] if args.key?(:use_legacy_sql)
end
end
end
end
#
class TableReference
include Google::Apis::Core::Hashable
# [Required] The ID of the dataset containing this table.
# Corresponds to the JSON property `datasetId`
# @return [String]
attr_accessor :dataset_id
# [Required] The ID of the project containing this table.
# Corresponds to the JSON property `projectId`
# @return [String]
attr_accessor :project_id
# [Required] The ID of the table. The ID must contain only letters (a-z, A-Z),
# numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
# Corresponds to the JSON property `tableId`
# @return [String]
attr_accessor :table_id
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@dataset_id = args[:dataset_id] if args.key?(:dataset_id)
@project_id = args[:project_id] if args.key?(:project_id)
@table_id = args[:table_id] if args.key?(:table_id)
end
end
#
class TableRow
include Google::Apis::Core::Hashable
# Represents a single row in the result set, consisting of one or more fields.
# Corresponds to the JSON property `f`
# @return [Array<Google::Apis::BigqueryV2::TableCell>]
attr_accessor :f
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@f = args[:f] if args.key?(:f)
end
end
#
class TableSchema
include Google::Apis::Core::Hashable
# Describes the fields in a table.
# Corresponds to the JSON property `fields`
# @return [Array<Google::Apis::BigqueryV2::TableFieldSchema>]
attr_accessor :fields
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@fields = args[:fields] if args.key?(:fields)
end
end
#
class TimePartitioning
include Google::Apis::Core::Hashable
# [Optional] Number of milliseconds for which to keep the storage for partitions
# in the table. The storage in a partition will have an expiration time of its
# partition time plus this value.
# Corresponds to the JSON property `expirationMs`
# @return [Fixnum]
attr_accessor :expiration_ms
# [Beta] [Optional] If not set, the table is partitioned by pseudo column,
# referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE'
# as DATE type. If field is specified, the table is instead partitioned by this
# field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be
# NULLABLE or REQUIRED.
# Corresponds to the JSON property `field`
# @return [String]
attr_accessor :field
#
# Corresponds to the JSON property `requirePartitionFilter`
# @return [Boolean]
attr_accessor :require_partition_filter
alias_method :require_partition_filter?, :require_partition_filter
# [Required] The only type supported is DAY, which will generate one partition
# per day.
# Corresponds to the JSON property `type`
# @return [String]
attr_accessor :type
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@expiration_ms = args[:expiration_ms] if args.key?(:expiration_ms)
@field = args[:field] if args.key?(:field)
@require_partition_filter = args[:require_partition_filter] if args.key?(:require_partition_filter)
@type = args[:type] if args.key?(:type)
end
end
#
class TrainingOptions
include Google::Apis::Core::Hashable
# Batch size for dnn models.
# Corresponds to the JSON property `batchSize`
# @return [Fixnum]
attr_accessor :batch_size
# The column to split data with. This column won't be used as a
# feature.
# 1. When data_split_method is CUSTOM, the corresponding column should
# be boolean. The rows with true value tag are eval data, and the false
# are training data.
# 2. When data_split_method is SEQ, the first DATA_SPLIT_EVAL_FRACTION
# rows (from smallest to largest) in the corresponding column are used
# as training data, and the rest are eval data. It respects the order
# in Orderable data types:
# https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#data-
# type-properties
# Corresponds to the JSON property `dataSplitColumn`
# @return [String]
attr_accessor :data_split_column
# The fraction of evaluation data over the whole input data. The rest
# of data will be used as training data. The format should be double.
# Accurate to two decimal places.
# Default value is 0.2.
# Corresponds to the JSON property `dataSplitEvalFraction`
# @return [Float]
attr_accessor :data_split_eval_fraction
# The data split type for training and evaluation, e.g. RANDOM.
# Corresponds to the JSON property `dataSplitMethod`
# @return [String]
attr_accessor :data_split_method
# Distance type for clustering models.
# Corresponds to the JSON property `distanceType`
# @return [String]
attr_accessor :distance_type
# Dropout probability for dnn models.
# Corresponds to the JSON property `dropout`
# @return [Float]
attr_accessor :dropout
# Whether to stop early when the loss doesn't improve significantly
# any more (compared to min_relative_progress). Used only for iterative
# training algorithms.
# Corresponds to the JSON property `earlyStop`
# @return [Boolean]
attr_accessor :early_stop
alias_method :early_stop?, :early_stop
# Feedback type that specifies which algorithm to run for matrix
# factorization.
# Corresponds to the JSON property `feedbackType`
# @return [String]
attr_accessor :feedback_type
# Hidden units for dnn models.
# Corresponds to the JSON property `hiddenUnits`
# @return [Array<Fixnum>]
attr_accessor :hidden_units
# Specifies the initial learning rate for the line search learn rate
# strategy.
# Corresponds to the JSON property `initialLearnRate`
# @return [Float]
attr_accessor :initial_learn_rate
# Name of input label columns in training data.
# Corresponds to the JSON property `inputLabelColumns`
# @return [Array<String>]
attr_accessor :input_label_columns
# Item column specified for matrix factorization models.
# Corresponds to the JSON property `itemColumn`
# @return [String]
attr_accessor :item_column
# The column used to provide the initial centroids for kmeans algorithm
# when kmeans_initialization_method is CUSTOM.
# Corresponds to the JSON property `kmeansInitializationColumn`
# @return [String]
attr_accessor :kmeans_initialization_column
# The method used to initialize the centroids for kmeans algorithm.
# Corresponds to the JSON property `kmeansInitializationMethod`
# @return [String]
attr_accessor :kmeans_initialization_method
# L1 regularization coefficient.
# Corresponds to the JSON property `l1Regularization`
# @return [Float]
attr_accessor :l1_regularization
# L2 regularization coefficient.
# Corresponds to the JSON property `l2Regularization`
# @return [Float]
attr_accessor :l2_regularization
# Weights associated with each label class, for rebalancing the
# training data. Only applicable for classification models.
# Corresponds to the JSON property `labelClassWeights`
# @return [Hash<String,Float>]
attr_accessor :label_class_weights
# Learning rate in training. Used only for iterative training algorithms.
# Corresponds to the JSON property `learnRate`
# @return [Float]
attr_accessor :learn_rate
# The strategy to determine learn rate for the current iteration.
# Corresponds to the JSON property `learnRateStrategy`
# @return [String]
attr_accessor :learn_rate_strategy
# Type of loss function used during training run.
# Corresponds to the JSON property `lossType`
# @return [String]
attr_accessor :loss_type
# The maximum number of iterations in training. Used only for iterative
# training algorithms.
# Corresponds to the JSON property `maxIterations`
# @return [Fixnum]
attr_accessor :max_iterations
# Maximum depth of a tree for boosted tree models.
# Corresponds to the JSON property `maxTreeDepth`
# @return [Fixnum]
attr_accessor :max_tree_depth
# When early_stop is true, stops training when accuracy improvement is
# less than 'min_relative_progress'. Used only for iterative training
# algorithms.
# Corresponds to the JSON property `minRelativeProgress`
# @return [Float]
attr_accessor :min_relative_progress
# Minimum split loss for boosted tree models.
# Corresponds to the JSON property `minSplitLoss`
# @return [Float]
attr_accessor :min_split_loss
# [Beta] Google Cloud Storage URI from which the model was imported. Only
# applicable for imported models.
# Corresponds to the JSON property `modelUri`
# @return [String]
attr_accessor :model_uri
# Number of clusters for clustering models.
# Corresponds to the JSON property `numClusters`
# @return [Fixnum]
attr_accessor :num_clusters
# Num factors specified for matrix factorization models.
# Corresponds to the JSON property `numFactors`
# @return [Fixnum]
attr_accessor :num_factors
# Optimization strategy for training linear regression models.
# Corresponds to the JSON property `optimizationStrategy`
# @return [String]
attr_accessor :optimization_strategy
# Subsample fraction of the training data to grow tree to prevent
# overfitting for boosted tree models.
# Corresponds to the JSON property `subsample`
# @return [Float]
attr_accessor :subsample
# User column specified for matrix factorization models.
# Corresponds to the JSON property `userColumn`
# @return [String]
attr_accessor :user_column
# Hyperparameter for matrix factoration when implicit feedback type is
# specified.
# Corresponds to the JSON property `walsAlpha`
# @return [Float]
attr_accessor :wals_alpha
# Whether to train a model from the last checkpoint.
# Corresponds to the JSON property `warmStart`
# @return [Boolean]
attr_accessor :warm_start
alias_method :warm_start?, :warm_start
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@batch_size = args[:batch_size] if args.key?(:batch_size)
@data_split_column = args[:data_split_column] if args.key?(:data_split_column)
@data_split_eval_fraction = args[:data_split_eval_fraction] if args.key?(:data_split_eval_fraction)
@data_split_method = args[:data_split_method] if args.key?(:data_split_method)
@distance_type = args[:distance_type] if args.key?(:distance_type)
@dropout = args[:dropout] if args.key?(:dropout)
@early_stop = args[:early_stop] if args.key?(:early_stop)
@feedback_type = args[:feedback_type] if args.key?(:feedback_type)
@hidden_units = args[:hidden_units] if args.key?(:hidden_units)
@initial_learn_rate = args[:initial_learn_rate] if args.key?(:initial_learn_rate)
@input_label_columns = args[:input_label_columns] if args.key?(:input_label_columns)
@item_column = args[:item_column] if args.key?(:item_column)
@kmeans_initialization_column = args[:kmeans_initialization_column] if args.key?(:kmeans_initialization_column)
@kmeans_initialization_method = args[:kmeans_initialization_method] if args.key?(:kmeans_initialization_method)
@l1_regularization = args[:l1_regularization] if args.key?(:l1_regularization)
@l2_regularization = args[:l2_regularization] if args.key?(:l2_regularization)
@label_class_weights = args[:label_class_weights] if args.key?(:label_class_weights)
@learn_rate = args[:learn_rate] if args.key?(:learn_rate)
@learn_rate_strategy = args[:learn_rate_strategy] if args.key?(:learn_rate_strategy)
@loss_type = args[:loss_type] if args.key?(:loss_type)
@max_iterations = args[:max_iterations] if args.key?(:max_iterations)
@max_tree_depth = args[:max_tree_depth] if args.key?(:max_tree_depth)
@min_relative_progress = args[:min_relative_progress] if args.key?(:min_relative_progress)
@min_split_loss = args[:min_split_loss] if args.key?(:min_split_loss)
@model_uri = args[:model_uri] if args.key?(:model_uri)
@num_clusters = args[:num_clusters] if args.key?(:num_clusters)
@num_factors = args[:num_factors] if args.key?(:num_factors)
@optimization_strategy = args[:optimization_strategy] if args.key?(:optimization_strategy)
@subsample = args[:subsample] if args.key?(:subsample)
@user_column = args[:user_column] if args.key?(:user_column)
@wals_alpha = args[:wals_alpha] if args.key?(:wals_alpha)
@warm_start = args[:warm_start] if args.key?(:warm_start)
end
end
# Information about a single training query run for the model.
class TrainingRun
include Google::Apis::Core::Hashable
# Data split result. This contains references to the training and evaluation
# data tables that were used to train the model.
# Corresponds to the JSON property `dataSplitResult`
# @return [Google::Apis::BigqueryV2::DataSplitResult]
attr_accessor :data_split_result
# Evaluation metrics of a model. These are either computed on all training
# data or just the eval data based on whether eval data was used during
# training. These are not present for imported models.
# Corresponds to the JSON property `evaluationMetrics`
# @return [Google::Apis::BigqueryV2::EvaluationMetrics]
attr_accessor :evaluation_metrics
# Output of each iteration run, results.size() <= max_iterations.
# Corresponds to the JSON property `results`
# @return [Array<Google::Apis::BigqueryV2::IterationResult>]
attr_accessor :results
# The start time of this training run.
# Corresponds to the JSON property `startTime`
# @return [String]
attr_accessor :start_time
# Options that were used for this training run, includes
# user specified and default options that were used.
# Corresponds to the JSON property `trainingOptions`
# @return [Google::Apis::BigqueryV2::TrainingOptions]
attr_accessor :training_options
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@data_split_result = args[:data_split_result] if args.key?(:data_split_result)
@evaluation_metrics = args[:evaluation_metrics] if args.key?(:evaluation_metrics)
@results = args[:results] if args.key?(:results)
@start_time = args[:start_time] if args.key?(:start_time)
@training_options = args[:training_options] if args.key?(:training_options)
end
end
#
class UserDefinedFunctionResource
include Google::Apis::Core::Hashable
# [Pick one] An inline resource that contains code for a user-defined function (
# UDF). Providing a inline code resource is equivalent to providing a URI for a
# file containing the same code.
# Corresponds to the JSON property `inlineCode`
# @return [String]
attr_accessor :inline_code
# [Pick one] A code resource to load from a Google Cloud Storage URI (gs://
# bucket/path).
# Corresponds to the JSON property `resourceUri`
# @return [String]
attr_accessor :resource_uri
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@inline_code = args[:inline_code] if args.key?(:inline_code)
@resource_uri = args[:resource_uri] if args.key?(:resource_uri)
end
end
#
class ViewDefinition
include Google::Apis::Core::Hashable
# [Required] A query that BigQuery executes when the view is referenced.
# Corresponds to the JSON property `query`
# @return [String]
attr_accessor :query
# Specifies whether to use BigQuery's legacy SQL for this view. The default
# value is true. If set to false, the view will use BigQuery's standard SQL:
# https://cloud.google.com/bigquery/sql-reference/ Queries and views that
# reference this view must use the same flag value.
# Corresponds to the JSON property `useLegacySql`
# @return [Boolean]
attr_accessor :use_legacy_sql
alias_method :use_legacy_sql?, :use_legacy_sql
# Describes user-defined function resources used in the query.
# Corresponds to the JSON property `userDefinedFunctionResources`
# @return [Array<Google::Apis::BigqueryV2::UserDefinedFunctionResource>]
attr_accessor :user_defined_function_resources
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@query = args[:query] if args.key?(:query)
@use_legacy_sql = args[:use_legacy_sql] if args.key?(:use_legacy_sql)
@user_defined_function_resources = args[:user_defined_function_resources] if args.key?(:user_defined_function_resources)
end
end
end
end
end
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