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lib/Google/Cloud/Bigquery/V2/JobStats.pm  view on Meta::CPAN

        destination_uri_file_counts => $value,
    );

=head1 FIELDS

=over 4

=item * B<destination_uri_file_counts>

Type: Int64

=item * B<input_bytes>

Type: Message (.google.protobuf.Int64Value)

=item * B<timeline>

Type: Message (.google.cloud.bigquery.v2.QueryTimelineSample)

=back

=cut

# === Message: Google::Cloud::Bigquery::V2::JobStats::CopyJobStatistics ===
    # Fields for CopyJobStatistics
    # Field: copied_rows Type: 11 (.google.protobuf.Int64Value)
    # Field: copied_logical_bytes Type: 11 (.google.protobuf.Int64Value)

=pod

=head1 NAME

Google::Cloud::Bigquery::V2::JobStats::CopyJobStatistics - Compiled Protocol Buffers message class

=head1 SYNOPSIS

    use Google::Cloud::Bigquery::V2::JobStats;

    my $msg = Google::Cloud::Bigquery::V2::JobStats::CopyJobStatistics->new(
        copied_rows => $value,
    );

=head1 FIELDS

=over 4

=item * B<copied_rows>

Type: Message (.google.protobuf.Int64Value)

=item * B<copied_logical_bytes>

Type: Message (.google.protobuf.Int64Value)

=back

=cut

# === Message: Google::Cloud::Bigquery::V2::JobStats::MlStatistics ===
    # Fields for MlStatistics
    # Field: max_iterations Type: 3 ()
    # Field: iteration_results Type: 11 (.google.cloud.bigquery.v2.Model.TrainingRun.IterationResult)
    # Field: model_type Type: 14 (.google.cloud.bigquery.v2.Model.ModelType)
    # Field: training_type Type: 14 (.google.cloud.bigquery.v2.MlStatistics.TrainingType)
    # Field: hparam_trials Type: 11 (.google.cloud.bigquery.v2.Model.HparamTuningTrial)

=pod

=head1 NAME

Google::Cloud::Bigquery::V2::JobStats::MlStatistics - Compiled Protocol Buffers message class

=head1 SYNOPSIS

    use Google::Cloud::Bigquery::V2::JobStats;

    my $msg = Google::Cloud::Bigquery::V2::JobStats::MlStatistics->new(
        max_iterations => $value,
    );

=head1 FIELDS

=over 4

=item * B<max_iterations>

Type: Int64

=item * B<iteration_results>

Type: Message (.google.cloud.bigquery.v2.Model.TrainingRun.IterationResult)

=item * B<model_type>

Type: Enum (.google.cloud.bigquery.v2.Model.ModelType)

=item * B<training_type>

Type: Enum (.google.cloud.bigquery.v2.MlStatistics.TrainingType)

=item * B<hparam_trials>

Type: Message (.google.cloud.bigquery.v2.Model.HparamTuningTrial)

=back

=cut

# Enum: MlStatistics::TrainingType
our $MlStatistics_TRAINING_TYPE_UNSPECIFIED = 0;
our $MlStatistics_SINGLE_TRAINING = 1;
our $MlStatistics_HPARAM_TUNING = 2;

=pod

=head2 Enum: MlStatistics::TrainingType

Values:

=over 4

=item * C<TRAINING_TYPE_UNSPECIFIED> => 0

=item * C<SINGLE_TRAINING> => 1

=item * C<HPARAM_TUNING> => 2

=back

=cut

# === Message: Google::Cloud::Bigquery::V2::JobStats::ScriptStatistics ===
    # Fields for ScriptStatistics
    # Field: evaluation_kind Type: 14 (.google.cloud.bigquery.v2.ScriptStatistics.EvaluationKind)
    # Field: stack_frames Type: 11 (.google.cloud.bigquery.v2.ScriptStatistics.ScriptStackFrame)

=pod

=head1 NAME

Google::Cloud::Bigquery::V2::JobStats::ScriptStatistics - Compiled Protocol Buffers message class

=head1 SYNOPSIS

    use Google::Cloud::Bigquery::V2::JobStats;