The Perl Toolchain Summit 2025 Needs You: You can help 🙏 Learn more

JROBINSON / Paws-0.46 / lib / Paws / MachineLearning / GetDataSource.pm 

            

              
1
2
3
4
5
6
7
8
9
10
11
12
13
14
—
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95

              
package Paws::MachineLearning::GetDataSource;
  use Moose;
  has DataSourceId => (is => 'ro', isa => 'Str', required => 1);
  has Verbose => (is => 'ro', isa => 'Bool');
  use MooseX::ClassAttribute;
  class_has _api_call => (isa => 'Str', is => 'ro', default => 'GetDataSource');
  class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::MachineLearning::GetDataSourceOutput');
  class_has _result_key => (isa => 'Str', is => 'ro');
1;
### main pod documentation begin ###
=head1 NAME
Paws::MachineLearning::GetDataSource - Arguments for method GetDataSource on L<Paws::MachineLearning>
=head1 DESCRIPTION
This class represents the parameters used for calling the method GetDataSource on the
L<Amazon Machine Learning|Paws::MachineLearning> service. Use the attributes of this class
as arguments to method GetDataSource.
You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to GetDataSource.
=head1 SYNOPSIS
    my $machinelearning = Paws->service('MachineLearning');
    my $GetDataSourceOutput = $machinelearning->GetDataSource(
      DataSourceId => 'MyEntityId',
      Verbose      => 1,              # OPTIONAL
    );
    # Results:
    my $ComputeStatistics = $GetDataSourceOutput->ComputeStatistics;
    my $ComputeTime       = $GetDataSourceOutput->ComputeTime;
    my $CreatedAt         = $GetDataSourceOutput->CreatedAt;
    my $CreatedByIamUser  = $GetDataSourceOutput->CreatedByIamUser;
    my $DataLocationS3    = $GetDataSourceOutput->DataLocationS3;
    my $DataRearrangement = $GetDataSourceOutput->DataRearrangement;
    my $DataSizeInBytes   = $GetDataSourceOutput->DataSizeInBytes;
    my $DataSourceId      = $GetDataSourceOutput->DataSourceId;
    my $DataSourceSchema  = $GetDataSourceOutput->DataSourceSchema;
    my $FinishedAt        = $GetDataSourceOutput->FinishedAt;
    my $LastUpdatedAt     = $GetDataSourceOutput->LastUpdatedAt;
    my $LogUri            = $GetDataSourceOutput->LogUri;
    my $Message           = $GetDataSourceOutput->Message;
    my $Name              = $GetDataSourceOutput->Name;
    my $NumberOfFiles     = $GetDataSourceOutput->NumberOfFiles;
    my $RDSMetadata       = $GetDataSourceOutput->RDSMetadata;
    my $RedshiftMetadata  = $GetDataSourceOutput->RedshiftMetadata;
    my $RoleARN           = $GetDataSourceOutput->RoleARN;
    my $StartedAt         = $GetDataSourceOutput->StartedAt;
    my $Status            = $GetDataSourceOutput->Status;
    # Returns a L<Paws::MachineLearning::GetDataSourceOutput> object.
Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object.
For the AWS API documentation, see L<https://docs.aws.amazon.com/goto/WebAPI/machinelearning/GetDataSource>
=head1 ATTRIBUTES
=head2 B<REQUIRED> DataSourceId => Str
The ID assigned to the C<DataSource> at creation.
=head2 Verbose => Bool
Specifies whether the C<GetDataSource> operation should return
C<DataSourceSchema>.
If true, C<DataSourceSchema> is returned.
If false, C<DataSourceSchema> is not returned.
=head1 SEE ALSO
This class forms part of L<Paws>, documenting arguments for method GetDataSource in L<Paws::MachineLearning>
=head1 BUGS and CONTRIBUTIONS
The source code is located here: L<https://github.com/pplu/aws-sdk-perl>
Please report bugs to: L<https://github.com/pplu/aws-sdk-perl/issues>
=cut