PNG  IHDR;IDATxܻn0K )(pA 7LeG{ §㻢|ذaÆ 6lذaÆ 6lذaÆ 6lom$^yذag5bÆ 6lذaÆ 6lذa{ 6lذaÆ `}HFkm,mӪôô! x|'ܢ˟;E:9&ᶒ}{v]n&6 h_tڠ͵-ҫZ;Z$.Pkž)!o>}leQfJTu іچ\X=8Rن4`Vwl>nG^is"ms$ui?wbs[m6K4O.4%/bC%t Mז -lG6mrz2s%9s@-k9=)kB5\+͂Zsٲ Rn~GRC wIcIn7jJhۛNCS|j08yiHKֶۛkɈ+;SzL/F*\Ԕ#"5m2[S=gnaPeғL lذaÆ 6l^ḵaÆ 6lذaÆ 6lذa; _ذaÆ 6lذaÆ 6lذaÆ RIENDB` package Paws::KinesisAnalyticsV2; use Moose; sub service { 'kinesisanalytics' } sub signing_name { 'kinesisanalytics' } sub version { '2018-05-23' } sub target_prefix { 'KinesisAnalytics_20180523' } sub json_version { "1.1" } has max_attempts => (is => 'ro', isa => 'Int', default => 5); has retry => (is => 'ro', isa => 'HashRef', default => sub { { base => 'rand', type => 'exponential', growth_factor => 2 } }); has retriables => (is => 'ro', isa => 'ArrayRef', default => sub { [ ] }); with 'Paws::API::Caller', 'Paws::API::EndpointResolver', 'Paws::Net::V4Signature', 'Paws::Net::JsonCaller'; sub AddApplicationCloudWatchLoggingOption { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::AddApplicationCloudWatchLoggingOption', @_); return $self->caller->do_call($self, $call_object); } sub AddApplicationInput { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::AddApplicationInput', @_); return $self->caller->do_call($self, $call_object); } sub AddApplicationInputProcessingConfiguration { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::AddApplicationInputProcessingConfiguration', @_); return $self->caller->do_call($self, $call_object); } sub AddApplicationOutput { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::AddApplicationOutput', @_); return $self->caller->do_call($self, $call_object); } sub AddApplicationReferenceDataSource { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::AddApplicationReferenceDataSource', @_); return $self->caller->do_call($self, $call_object); } sub AddApplicationVpcConfiguration { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::AddApplicationVpcConfiguration', @_); return $self->caller->do_call($self, $call_object); } sub CreateApplication { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::CreateApplication', @_); return $self->caller->do_call($self, $call_object); } sub CreateApplicationPresignedUrl { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::CreateApplicationPresignedUrl', @_); return $self->caller->do_call($self, $call_object); } sub CreateApplicationSnapshot { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::CreateApplicationSnapshot', @_); return $self->caller->do_call($self, $call_object); } sub DeleteApplication { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::DeleteApplication', @_); return $self->caller->do_call($self, $call_object); } sub DeleteApplicationCloudWatchLoggingOption { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::DeleteApplicationCloudWatchLoggingOption', @_); return $self->caller->do_call($self, $call_object); } sub DeleteApplicationInputProcessingConfiguration { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::DeleteApplicationInputProcessingConfiguration', @_); return $self->caller->do_call($self, $call_object); } sub DeleteApplicationOutput { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::DeleteApplicationOutput', @_); return $self->caller->do_call($self, $call_object); } sub DeleteApplicationReferenceDataSource { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::DeleteApplicationReferenceDataSource', @_); return $self->caller->do_call($self, $call_object); } sub DeleteApplicationSnapshot { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::DeleteApplicationSnapshot', @_); return $self->caller->do_call($self, $call_object); } sub DeleteApplicationVpcConfiguration { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::DeleteApplicationVpcConfiguration', @_); return $self->caller->do_call($self, $call_object); } sub DescribeApplication { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::DescribeApplication', @_); return $self->caller->do_call($self, $call_object); } sub DescribeApplicationSnapshot { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::DescribeApplicationSnapshot', @_); return $self->caller->do_call($self, $call_object); } sub DescribeApplicationVersion { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::DescribeApplicationVersion', @_); return $self->caller->do_call($self, $call_object); } sub DiscoverInputSchema { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::DiscoverInputSchema', @_); return $self->caller->do_call($self, $call_object); } sub ListApplications { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::ListApplications', @_); return $self->caller->do_call($self, $call_object); } sub ListApplicationSnapshots { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::ListApplicationSnapshots', @_); return $self->caller->do_call($self, $call_object); } sub ListApplicationVersions { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::ListApplicationVersions', @_); return $self->caller->do_call($self, $call_object); } sub ListTagsForResource { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::ListTagsForResource', @_); return $self->caller->do_call($self, $call_object); } sub RollbackApplication { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::RollbackApplication', @_); return $self->caller->do_call($self, $call_object); } sub StartApplication { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::StartApplication', @_); return $self->caller->do_call($self, $call_object); } sub StopApplication { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::StopApplication', @_); return $self->caller->do_call($self, $call_object); } sub TagResource { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::TagResource', @_); return $self->caller->do_call($self, $call_object); } sub UntagResource { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::UntagResource', @_); return $self->caller->do_call($self, $call_object); } sub UpdateApplication { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::UpdateApplication', @_); return $self->caller->do_call($self, $call_object); } sub UpdateApplicationMaintenanceConfiguration { my $self = shift; my $call_object = $self->new_with_coercions('Paws::KinesisAnalyticsV2::UpdateApplicationMaintenanceConfiguration', @_); return $self->caller->do_call($self, $call_object); } sub ListAllApplications { my $self = shift; my $callback = shift @_ if (ref($_[0]) eq 'CODE'); my $result = $self->ListApplications(@_); my $next_result = $result; if (not defined $callback) { while ($next_result->NextToken) { $next_result = $self->ListApplications(@_, NextToken => $next_result->NextToken); push @{ $result->ApplicationSummaries }, @{ $next_result->ApplicationSummaries }; } return $result; } else { while ($result->NextToken) { $callback->($_ => 'ApplicationSummaries') foreach (@{ $result->ApplicationSummaries }); $result = $self->ListApplications(@_, NextToken => $result->NextToken); } $callback->($_ => 'ApplicationSummaries') foreach (@{ $result->ApplicationSummaries }); } return undef } sub ListAllApplicationSnapshots { my $self = shift; my $callback = shift @_ if (ref($_[0]) eq 'CODE'); my $result = $self->ListApplicationSnapshots(@_); my $next_result = $result; if (not defined $callback) { while ($next_result->NextToken) { $next_result = $self->ListApplicationSnapshots(@_, NextToken => $next_result->NextToken); push @{ $result->SnapshotSummaries }, @{ $next_result->SnapshotSummaries }; } return $result; } else { while ($result->NextToken) { $callback->($_ => 'SnapshotSummaries') foreach (@{ $result->SnapshotSummaries }); $result = $self->ListApplicationSnapshots(@_, NextToken => $result->NextToken); } $callback->($_ => 'SnapshotSummaries') foreach (@{ $result->SnapshotSummaries }); } return undef } sub operations { qw/AddApplicationCloudWatchLoggingOption AddApplicationInput AddApplicationInputProcessingConfiguration AddApplicationOutput AddApplicationReferenceDataSource AddApplicationVpcConfiguration CreateApplication CreateApplicationPresignedUrl CreateApplicationSnapshot DeleteApplication DeleteApplicationCloudWatchLoggingOption DeleteApplicationInputProcessingConfiguration DeleteApplicationOutput DeleteApplicationReferenceDataSource DeleteApplicationSnapshot DeleteApplicationVpcConfiguration DescribeApplication DescribeApplicationSnapshot DescribeApplicationVersion DiscoverInputSchema ListApplications ListApplicationSnapshots ListApplicationVersions ListTagsForResource RollbackApplication StartApplication StopApplication TagResource UntagResource UpdateApplication UpdateApplicationMaintenanceConfiguration / } 1; ### main pod documentation begin ### =head1 NAME Paws::KinesisAnalyticsV2 - Perl Interface to AWS Amazon Kinesis Analytics =head1 SYNOPSIS use Paws; my $obj = Paws->service('KinesisAnalyticsV2'); my $res = $obj->Method( Arg1 => $val1, Arg2 => [ 'V1', 'V2' ], # if Arg3 is an object, the HashRef will be used as arguments to the constructor # of the arguments type Arg3 => { Att1 => 'Val1' }, # if Arg4 is an array of objects, the HashRefs will be passed as arguments to # the constructor of the arguments type Arg4 => [ { Att1 => 'Val1' }, { Att1 => 'Val2' } ], ); =head1 DESCRIPTION Amazon Kinesis Data Analytics is a fully managed service that you can use to process and analyze streaming data using Java, SQL, or Scala. The service enables you to quickly author and run Java, SQL, or Scala code against streaming sources to perform time series analytics, feed real-time dashboards, and create real-time metrics. For the AWS API documentation, see L =head1 METHODS =head2 AddApplicationCloudWatchLoggingOption =over =item ApplicationName => Str =item CloudWatchLoggingOption => L =item [ConditionalToken => Str] =item [CurrentApplicationVersionId => Int] =back Each argument is described in detail in: L Returns: a L instance Adds an Amazon CloudWatch log stream to monitor application configuration errors. =head2 AddApplicationInput =over =item ApplicationName => Str =item CurrentApplicationVersionId => Int =item Input => L =back Each argument is described in detail in: L Returns: a L instance Adds a streaming source to your SQL-based Kinesis Data Analytics application. You can add a streaming source when you create an application, or you can use this operation to add a streaming source after you create an application. For more information, see CreateApplication. Any configuration update, including adding a streaming source using this operation, results in a new version of the application. You can use the DescribeApplication operation to find the current application version. =head2 AddApplicationInputProcessingConfiguration =over =item ApplicationName => Str =item CurrentApplicationVersionId => Int =item InputId => Str =item InputProcessingConfiguration => L =back Each argument is described in detail in: L Returns: a L instance Adds an InputProcessingConfiguration to a SQL-based Kinesis Data Analytics application. An input processor pre-processes records on the input stream before the application's SQL code executes. Currently, the only input processor available is AWS Lambda (https://docs.aws.amazon.com/lambda/). =head2 AddApplicationOutput =over =item ApplicationName => Str =item CurrentApplicationVersionId => Int =item Output => L =back Each argument is described in detail in: L Returns: a L instance Adds an external destination to your SQL-based Kinesis Data Analytics application. If you want Kinesis Data Analytics to deliver data from an in-application stream within your application to an external destination (such as an Kinesis data stream, a Kinesis Data Firehose delivery stream, or an AWS Lambda function), you add the relevant configuration to your application using this operation. You can configure one or more outputs for your application. Each output configuration maps an in-application stream and an external destination. You can use one of the output configurations to deliver data from your in-application error stream to an external destination so that you can analyze the errors. Any configuration update, including adding a streaming source using this operation, results in a new version of the application. You can use the DescribeApplication operation to find the current application version. =head2 AddApplicationReferenceDataSource =over =item ApplicationName => Str =item CurrentApplicationVersionId => Int =item ReferenceDataSource => L =back Each argument is described in detail in: L Returns: a L instance Adds a reference data source to an existing SQL-based Kinesis Data Analytics application. Kinesis Data Analytics reads reference data (that is, an Amazon S3 object) and creates an in-application table within your application. In the request, you provide the source (S3 bucket name and object key name), name of the in-application table to create, and the necessary mapping information that describes how data in an Amazon S3 object maps to columns in the resulting in-application table. =head2 AddApplicationVpcConfiguration =over =item ApplicationName => Str =item VpcConfiguration => L =item [ConditionalToken => Str] =item [CurrentApplicationVersionId => Int] =back Each argument is described in detail in: L Returns: a L instance Adds a Virtual Private Cloud (VPC) configuration to the application. Applications can use VPCs to store and access resources securely. Note the following about VPC configurations for Kinesis Data Analytics applications: =over =item * VPC configurations are not supported for SQL applications. =item * When a VPC is added to a Kinesis Data Analytics application, the application can no longer be accessed from the Internet directly. To enable Internet access to the application, add an Internet gateway to your VPC. =back =head2 CreateApplication =over =item ApplicationName => Str =item RuntimeEnvironment => Str =item ServiceExecutionRole => Str =item [ApplicationConfiguration => L] =item [ApplicationDescription => Str] =item [ApplicationMode => Str] =item [CloudWatchLoggingOptions => ArrayRef[L]] =item [Tags => ArrayRef[L]] =back Each argument is described in detail in: L Returns: a L instance Creates a Kinesis Data Analytics application. For information about creating a Kinesis Data Analytics application, see Creating an Application (https://docs.aws.amazon.com/kinesisanalytics/latest/java/getting-started.html). =head2 CreateApplicationPresignedUrl =over =item ApplicationName => Str =item UrlType => Str =item [SessionExpirationDurationInSeconds => Int] =back Each argument is described in detail in: L Returns: a L instance Creates and returns a URL that you can use to connect to an application's extension. Currently, the only available extension is the Apache Flink dashboard. The IAM role or user used to call this API defines the permissions to access the extension. After the presigned URL is created, no additional permission is required to access this URL. IAM authorization policies for this API are also enforced for every HTTP request that attempts to connect to the extension. You control the amount of time that the URL will be valid using the C parameter. If you do not provide this parameter, the returned URL is valid for twelve hours. The URL that you get from a call to CreateApplicationPresignedUrl must be used within 3 minutes to be valid. If you first try to use the URL after the 3-minute limit expires, the service returns an HTTP 403 Forbidden error. =head2 CreateApplicationSnapshot =over =item ApplicationName => Str =item SnapshotName => Str =back Each argument is described in detail in: L Returns: a L instance Creates a snapshot of the application's state data. =head2 DeleteApplication =over =item ApplicationName => Str =item CreateTimestamp => Str =back Each argument is described in detail in: L Returns: a L instance Deletes the specified application. Kinesis Data Analytics halts application execution and deletes the application. =head2 DeleteApplicationCloudWatchLoggingOption =over =item ApplicationName => Str =item CloudWatchLoggingOptionId => Str =item [ConditionalToken => Str] =item [CurrentApplicationVersionId => Int] =back Each argument is described in detail in: L Returns: a L instance Deletes an Amazon CloudWatch log stream from an Kinesis Data Analytics application. =head2 DeleteApplicationInputProcessingConfiguration =over =item ApplicationName => Str =item CurrentApplicationVersionId => Int =item InputId => Str =back Each argument is described in detail in: L Returns: a L instance Deletes an InputProcessingConfiguration from an input. =head2 DeleteApplicationOutput =over =item ApplicationName => Str =item CurrentApplicationVersionId => Int =item OutputId => Str =back Each argument is described in detail in: L Returns: a L instance Deletes the output destination configuration from your SQL-based Kinesis Data Analytics application's configuration. Kinesis Data Analytics will no longer write data from the corresponding in-application stream to the external output destination. =head2 DeleteApplicationReferenceDataSource =over =item ApplicationName => Str =item CurrentApplicationVersionId => Int =item ReferenceId => Str =back Each argument is described in detail in: L Returns: a L instance Deletes a reference data source configuration from the specified SQL-based Kinesis Data Analytics application's configuration. If the application is running, Kinesis Data Analytics immediately removes the in-application table that you created using the AddApplicationReferenceDataSource operation. =head2 DeleteApplicationSnapshot =over =item ApplicationName => Str =item SnapshotCreationTimestamp => Str =item SnapshotName => Str =back Each argument is described in detail in: L Returns: a L instance Deletes a snapshot of application state. =head2 DeleteApplicationVpcConfiguration =over =item ApplicationName => Str =item VpcConfigurationId => Str =item [ConditionalToken => Str] =item [CurrentApplicationVersionId => Int] =back Each argument is described in detail in: L Returns: a L instance Removes a VPC configuration from a Kinesis Data Analytics application. =head2 DescribeApplication =over =item ApplicationName => Str =item [IncludeAdditionalDetails => Bool] =back Each argument is described in detail in: L Returns: a L instance Returns information about a specific Kinesis Data Analytics application. If you want to retrieve a list of all applications in your account, use the ListApplications operation. =head2 DescribeApplicationSnapshot =over =item ApplicationName => Str =item SnapshotName => Str =back Each argument is described in detail in: L Returns: a L instance Returns information about a snapshot of application state data. =head2 DescribeApplicationVersion =over =item ApplicationName => Str =item ApplicationVersionId => Int =back Each argument is described in detail in: L Returns: a L instance Provides a detailed description of a specified version of the application. To see a list of all the versions of an application, invoke the ListApplicationVersions operation. This operation is supported only for Amazon Kinesis Data Analytics for Apache Flink. =head2 DiscoverInputSchema =over =item ServiceExecutionRole => Str =item [InputProcessingConfiguration => L] =item [InputStartingPositionConfiguration => L] =item [ResourceARN => Str] =item [S3Configuration => L] =back Each argument is described in detail in: L Returns: a L instance Infers a schema for a SQL-based Kinesis Data Analytics application by evaluating sample records on the specified streaming source (Kinesis data stream or Kinesis Data Firehose delivery stream) or Amazon S3 object. In the response, the operation returns the inferred schema and also the sample records that the operation used to infer the schema. You can use the inferred schema when configuring a streaming source for your application. When you create an application using the Kinesis Data Analytics console, the console uses this operation to infer a schema and show it in the console user interface. =head2 ListApplications =over =item [Limit => Int] =item [NextToken => Str] =back Each argument is described in detail in: L Returns: a L instance Returns a list of Kinesis Data Analytics applications in your account. For each application, the response includes the application name, Amazon Resource Name (ARN), and status. If you want detailed information about a specific application, use DescribeApplication. =head2 ListApplicationSnapshots =over =item ApplicationName => Str =item [Limit => Int] =item [NextToken => Str] =back Each argument is described in detail in: L Returns: a L instance Lists information about the current application snapshots. =head2 ListApplicationVersions =over =item ApplicationName => Str =item [Limit => Int] =item [NextToken => Str] =back Each argument is described in detail in: L Returns: a L instance Lists all the versions for the specified application, including versions that were rolled back. The response also includes a summary of the configuration associated with each version. To get the complete description of a specific application version, invoke the DescribeApplicationVersion operation. This operation is supported only for Amazon Kinesis Data Analytics for Apache Flink. =head2 ListTagsForResource =over =item ResourceARN => Str =back Each argument is described in detail in: L Returns: a L instance Retrieves the list of key-value tags assigned to the application. For more information, see Using Tagging (https://docs.aws.amazon.com/kinesisanalytics/latest/java/how-tagging.html). =head2 RollbackApplication =over =item ApplicationName => Str =item CurrentApplicationVersionId => Int =back Each argument is described in detail in: L Returns: a L instance Reverts the application to the previous running version. You can roll back an application if you suspect it is stuck in a transient status. You can roll back an application only if it is in the C or C status. When you rollback an application, it loads state data from the last successful snapshot. If the application has no snapshots, Kinesis Data Analytics rejects the rollback request. This action is not supported for Kinesis Data Analytics for SQL applications. =head2 StartApplication =over =item ApplicationName => Str =item [RunConfiguration => L] =back Each argument is described in detail in: L Returns: a L instance Starts the specified Kinesis Data Analytics application. After creating an application, you must exclusively call this operation to start your application. =head2 StopApplication =over =item ApplicationName => Str =item [Force => Bool] =back Each argument is described in detail in: L Returns: a L instance Stops the application from processing data. You can stop an application only if it is in the running status, unless you set the C parameter to C. You can use the DescribeApplication operation to find the application status. Kinesis Data Analytics takes a snapshot when the application is stopped, unless C is set to C. =head2 TagResource =over =item ResourceARN => Str =item Tags => ArrayRef[L] =back Each argument is described in detail in: L Returns: a L instance Adds one or more key-value tags to a Kinesis Data Analytics application. Note that the maximum number of application tags includes system tags. The maximum number of user-defined application tags is 50. For more information, see Using Tagging (https://docs.aws.amazon.com/kinesisanalytics/latest/java/how-tagging.html). =head2 UntagResource =over =item ResourceARN => Str =item TagKeys => ArrayRef[Str|Undef] =back Each argument is described in detail in: L Returns: a L instance Removes one or more tags from a Kinesis Data Analytics application. For more information, see Using Tagging (https://docs.aws.amazon.com/kinesisanalytics/latest/java/how-tagging.html). =head2 UpdateApplication =over =item ApplicationName => Str =item [ApplicationConfigurationUpdate => L] =item [CloudWatchLoggingOptionUpdates => ArrayRef[L]] =item [ConditionalToken => Str] =item [CurrentApplicationVersionId => Int] =item [RunConfigurationUpdate => L] =item [ServiceExecutionRoleUpdate => Str] =back Each argument is described in detail in: L Returns: a L instance Updates an existing Kinesis Data Analytics application. Using this operation, you can update application code, input configuration, and output configuration. Kinesis Data Analytics updates the C each time you update your application. You cannot update the C of an existing application. If you need to update an application's C, you must delete the application and create it again. =head2 UpdateApplicationMaintenanceConfiguration =over =item ApplicationMaintenanceConfigurationUpdate => L =item ApplicationName => Str =back Each argument is described in detail in: L Returns: a L instance Updates the maintenance configuration of the Kinesis Data Analytics application. You can invoke this operation on an application that is in one of the two following states: C or C. If you invoke it when the application is in a state other than these two states, it throws a C. The service makes use of the updated configuration the next time it schedules maintenance for the application. If you invoke this operation after the service schedules maintenance, the service will apply the configuration update the next time it schedules maintenance for the application. This means that you might not see the maintenance configuration update applied to the maintenance process that follows a successful invocation of this operation, but to the following maintenance process instead. To see the current maintenance configuration of your application, invoke the DescribeApplication operation. For information about application maintenance, see Kinesis Data Analytics for Apache Flink Maintenance (https://docs.aws.amazon.com/kinesisanalytics/latest/java/maintenance.html). This operation is supported only for Amazon Kinesis Data Analytics for Apache Flink. =head1 PAGINATORS Paginator methods are helpers that repetively call methods that return partial results =head2 ListAllApplications(sub { },[Limit => Int, NextToken => Str]) =head2 ListAllApplications([Limit => Int, NextToken => Str]) If passed a sub as first parameter, it will call the sub for each element found in : - ApplicationSummaries, passing the object as the first parameter, and the string 'ApplicationSummaries' as the second parameter If not, it will return a a L instance with all the Cs; from all the responses. Please take into account that this mode can potentially consume vasts ammounts of memory. =head2 ListAllApplicationSnapshots(sub { },ApplicationName => Str, [Limit => Int, NextToken => Str]) =head2 ListAllApplicationSnapshots(ApplicationName => Str, [Limit => Int, NextToken => Str]) If passed a sub as first parameter, it will call the sub for each element found in : - SnapshotSummaries, passing the object as the first parameter, and the string 'SnapshotSummaries' as the second parameter If not, it will return a a L instance with all the Cs; from all the responses. Please take into account that this mode can potentially consume vasts ammounts of memory. =head1 SEE ALSO This service class forms part of L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut