# WARNING ABOUT GENERATED CODE # # This file is generated. See the contributing guide for more information: # https://github.com/aws/aws-sdk-ruby/blob/master/CONTRIBUTING.md # # WARNING ABOUT GENERATED CODE require 'seahorse/client/plugins/content_length.rb' require 'aws-sdk-core/plugins/credentials_configuration.rb' require 'aws-sdk-core/plugins/logging.rb' require 'aws-sdk-core/plugins/param_converter.rb' require 'aws-sdk-core/plugins/param_validator.rb' require 'aws-sdk-core/plugins/user_agent.rb' require 'aws-sdk-core/plugins/helpful_socket_errors.rb' require 'aws-sdk-core/plugins/retry_errors.rb' require 'aws-sdk-core/plugins/global_configuration.rb' require 'aws-sdk-core/plugins/regional_endpoint.rb' require 'aws-sdk-core/plugins/endpoint_discovery.rb' require 'aws-sdk-core/plugins/endpoint_pattern.rb' require 'aws-sdk-core/plugins/response_paging.rb' require 'aws-sdk-core/plugins/stub_responses.rb' require 'aws-sdk-core/plugins/idempotency_token.rb' require 'aws-sdk-core/plugins/jsonvalue_converter.rb' require 'aws-sdk-core/plugins/client_metrics_plugin.rb' require 'aws-sdk-core/plugins/client_metrics_send_plugin.rb' require 'aws-sdk-core/plugins/signature_v4.rb' require 'aws-sdk-core/plugins/protocols/json_rpc.rb' Aws::Plugins::GlobalConfiguration.add_identifier(:kinesisanalytics) module Aws::KinesisAnalytics class Client < Seahorse::Client::Base include Aws::ClientStubs @identifier = :kinesisanalytics set_api(ClientApi::API) add_plugin(Seahorse::Client::Plugins::ContentLength) add_plugin(Aws::Plugins::CredentialsConfiguration) add_plugin(Aws::Plugins::Logging) add_plugin(Aws::Plugins::ParamConverter) add_plugin(Aws::Plugins::ParamValidator) add_plugin(Aws::Plugins::UserAgent) add_plugin(Aws::Plugins::HelpfulSocketErrors) add_plugin(Aws::Plugins::RetryErrors) add_plugin(Aws::Plugins::GlobalConfiguration) add_plugin(Aws::Plugins::RegionalEndpoint) add_plugin(Aws::Plugins::EndpointDiscovery) add_plugin(Aws::Plugins::EndpointPattern) add_plugin(Aws::Plugins::ResponsePaging) add_plugin(Aws::Plugins::StubResponses) add_plugin(Aws::Plugins::IdempotencyToken) add_plugin(Aws::Plugins::JsonvalueConverter) add_plugin(Aws::Plugins::ClientMetricsPlugin) add_plugin(Aws::Plugins::ClientMetricsSendPlugin) add_plugin(Aws::Plugins::SignatureV4) add_plugin(Aws::Plugins::Protocols::JsonRpc) # @overload initialize(options) # @param [Hash] options # @option options [required, Aws::CredentialProvider] :credentials # Your AWS credentials. This can be an instance of any one of the # following classes: # # * `Aws::Credentials` - Used for configuring static, non-refreshing # credentials. # # * `Aws::InstanceProfileCredentials` - Used for loading credentials # from an EC2 IMDS on an EC2 instance. # # * `Aws::SharedCredentials` - Used for loading credentials from a # shared file, such as `~/.aws/config`. # # * `Aws::AssumeRoleCredentials` - Used when you need to assume a role. # # When `:credentials` are not configured directly, the following # locations will be searched for credentials: # # * `Aws.config[:credentials]` # * The `:access_key_id`, `:secret_access_key`, and `:session_token` options. # * ENV['AWS_ACCESS_KEY_ID'], ENV['AWS_SECRET_ACCESS_KEY'] # * `~/.aws/credentials` # * `~/.aws/config` # * EC2 IMDS instance profile - When used by default, the timeouts are # very aggressive. Construct and pass an instance of # `Aws::InstanceProfileCredentails` to enable retries and extended # timeouts. # # @option options [required, String] :region # The AWS region to connect to. The configured `:region` is # used to determine the service `:endpoint`. When not passed, # a default `:region` is search for in the following locations: # # * `Aws.config[:region]` # * `ENV['AWS_REGION']` # * `ENV['AMAZON_REGION']` # * `ENV['AWS_DEFAULT_REGION']` # * `~/.aws/credentials` # * `~/.aws/config` # # @option options [String] :access_key_id # # @option options [Boolean] :active_endpoint_cache (false) # When set to `true`, a thread polling for endpoints will be running in # the background every 60 secs (default). Defaults to `false`. # # @option options [Boolean] :client_side_monitoring (false) # When `true`, client-side metrics will be collected for all API requests from # this client. # # @option options [String] :client_side_monitoring_client_id ("") # Allows you to provide an identifier for this client which will be attached to # all generated client side metrics. Defaults to an empty string. # # @option options [Integer] :client_side_monitoring_port (31000) # Required for publishing client metrics. The port that the client side monitoring # agent is running on, where client metrics will be published via UDP. # # @option options [Aws::ClientSideMonitoring::Publisher] :client_side_monitoring_publisher (Aws::ClientSideMonitoring::Publisher) # Allows you to provide a custom client-side monitoring publisher class. By default, # will use the Client Side Monitoring Agent Publisher. # # @option options [Boolean] :convert_params (true) # When `true`, an attempt is made to coerce request parameters into # the required types. # # @option options [Boolean] :disable_host_prefix_injection (false) # Set to true to disable SDK automatically adding host prefix # to default service endpoint when available. # # @option options [String] :endpoint # The client endpoint is normally constructed from the `:region` # option. You should only configure an `:endpoint` when connecting # to test endpoints. This should be avalid HTTP(S) URI. # # @option options [Integer] :endpoint_cache_max_entries (1000) # Used for the maximum size limit of the LRU cache storing endpoints data # for endpoint discovery enabled operations. Defaults to 1000. # # @option options [Integer] :endpoint_cache_max_threads (10) # Used for the maximum threads in use for polling endpoints to be cached, defaults to 10. # # @option options [Integer] :endpoint_cache_poll_interval (60) # When :endpoint_discovery and :active_endpoint_cache is enabled, # Use this option to config the time interval in seconds for making # requests fetching endpoints information. Defaults to 60 sec. # # @option options [Boolean] :endpoint_discovery (false) # When set to `true`, endpoint discovery will be enabled for operations when available. Defaults to `false`. # # @option options [Aws::Log::Formatter] :log_formatter (Aws::Log::Formatter.default) # The log formatter. # # @option options [Symbol] :log_level (:info) # The log level to send messages to the `:logger` at. # # @option options [Logger] :logger # The Logger instance to send log messages to. If this option # is not set, logging will be disabled. # # @option options [String] :profile ("default") # Used when loading credentials from the shared credentials file # at HOME/.aws/credentials. When not specified, 'default' is used. # # @option options [Float] :retry_base_delay (0.3) # The base delay in seconds used by the default backoff function. # # @option options [Symbol] :retry_jitter (:none) # A delay randomiser function used by the default backoff function. Some predefined functions can be referenced by name - :none, :equal, :full, otherwise a Proc that takes and returns a number. # # @see https://www.awsarchitectureblog.com/2015/03/backoff.html # # @option options [Integer] :retry_limit (3) # The maximum number of times to retry failed requests. Only # ~ 500 level server errors and certain ~ 400 level client errors # are retried. Generally, these are throttling errors, data # checksum errors, networking errors, timeout errors and auth # errors from expired credentials. # # @option options [Integer] :retry_max_delay (0) # The maximum number of seconds to delay between retries (0 for no limit) used by the default backoff function. # # @option options [String] :secret_access_key # # @option options [String] :session_token # # @option options [Boolean] :simple_json (false) # Disables request parameter conversion, validation, and formatting. # Also disable response data type conversions. This option is useful # when you want to ensure the highest level of performance by # avoiding overhead of walking request parameters and response data # structures. # # When `:simple_json` is enabled, the request parameters hash must # be formatted exactly as the DynamoDB API expects. # # @option options [Boolean] :stub_responses (false) # Causes the client to return stubbed responses. By default # fake responses are generated and returned. You can specify # the response data to return or errors to raise by calling # {ClientStubs#stub_responses}. See {ClientStubs} for more information. # # ** Please note ** When response stubbing is enabled, no HTTP # requests are made, and retries are disabled. # # @option options [Boolean] :validate_params (true) # When `true`, request parameters are validated before # sending the request. # def initialize(*args) super end # @!group API Operations # Adds a CloudWatch log stream to monitor application configuration # errors. For more information about using CloudWatch log streams with # Amazon Kinesis Analytics applications, see [Working with Amazon # CloudWatch Logs][1]. # # # # [1]: http://docs.aws.amazon.com/kinesisanalytics/latest/dev/cloudwatch-logs.html # # @option params [required, String] :application_name # The Kinesis Analytics application name. # # @option params [required, Integer] :current_application_version_id # The version ID of the Kinesis Analytics application. # # @option params [required, Types::CloudWatchLoggingOption] :cloud_watch_logging_option # Provides the CloudWatch log stream Amazon Resource Name (ARN) and the # IAM role ARN. Note: To write application messages to CloudWatch, the # IAM role that is used must have the `PutLogEvents` policy action # enabled. # # @return [Struct] Returns an empty {Seahorse::Client::Response response}. # # @example Request syntax with placeholder values # # resp = client.add_application_cloud_watch_logging_option({ # application_name: "ApplicationName", # required # current_application_version_id: 1, # required # cloud_watch_logging_option: { # required # log_stream_arn: "LogStreamARN", # required # role_arn: "RoleARN", # required # }, # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/AddApplicationCloudWatchLoggingOption AWS API Documentation # # @overload add_application_cloud_watch_logging_option(params = {}) # @param [Hash] params ({}) def add_application_cloud_watch_logging_option(params = {}, options = {}) req = build_request(:add_application_cloud_watch_logging_option, params) req.send_request(options) end # Adds a streaming source to your Amazon Kinesis application. For # conceptual information, see [Configuring Application Input][1]. # # You can add a streaming source either 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. # # This operation requires permissions to perform the # `kinesisanalytics:AddApplicationInput` action. # # # # [1]: http://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-input.html # # @option params [required, String] :application_name # Name of your existing Amazon Kinesis Analytics application to which # you want to add the streaming source. # # @option params [required, Integer] :current_application_version_id # Current version of your Amazon Kinesis Analytics application. You can # use the DescribeApplication operation to find the current application # version. # # @option params [required, Types::Input] :input # The Input to add. # # @return [Struct] Returns an empty {Seahorse::Client::Response response}. # # @example Request syntax with placeholder values # # resp = client.add_application_input({ # application_name: "ApplicationName", # required # current_application_version_id: 1, # required # input: { # required # name_prefix: "InAppStreamName", # required # input_processing_configuration: { # input_lambda_processor: { # required # resource_arn: "ResourceARN", # required # role_arn: "RoleARN", # required # }, # }, # kinesis_streams_input: { # resource_arn: "ResourceARN", # required # role_arn: "RoleARN", # required # }, # kinesis_firehose_input: { # resource_arn: "ResourceARN", # required # role_arn: "RoleARN", # required # }, # input_parallelism: { # count: 1, # }, # input_schema: { # required # record_format: { # required # record_format_type: "JSON", # required, accepts JSON, CSV # mapping_parameters: { # json_mapping_parameters: { # record_row_path: "RecordRowPath", # required # }, # csv_mapping_parameters: { # record_row_delimiter: "RecordRowDelimiter", # required # record_column_delimiter: "RecordColumnDelimiter", # required # }, # }, # }, # record_encoding: "RecordEncoding", # record_columns: [ # required # { # name: "RecordColumnName", # required # mapping: "RecordColumnMapping", # sql_type: "RecordColumnSqlType", # required # }, # ], # }, # }, # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/AddApplicationInput AWS API Documentation # # @overload add_application_input(params = {}) # @param [Hash] params ({}) def add_application_input(params = {}, options = {}) req = build_request(:add_application_input, params) req.send_request(options) end # Adds an InputProcessingConfiguration to an application. An input # processor preprocesses records on the input stream before the # application's SQL code executes. Currently, the only input processor # available is [AWS Lambda][1]. # # # # [1]: https://aws.amazon.com/documentation/lambda/ # # @option params [required, String] :application_name # Name of the application to which you want to add the input processing # configuration. # # @option params [required, Integer] :current_application_version_id # Version of the application to which you want to add the input # processing configuration. You can use the DescribeApplication # operation to get the current application version. If the version # specified is not the current version, the # `ConcurrentModificationException` is returned. # # @option params [required, String] :input_id # The ID of the input configuration to add the input processing # configuration to. You can get a list of the input IDs for an # application using the DescribeApplication operation. # # @option params [required, Types::InputProcessingConfiguration] :input_processing_configuration # The InputProcessingConfiguration to add to the application. # # @return [Struct] Returns an empty {Seahorse::Client::Response response}. # # @example Request syntax with placeholder values # # resp = client.add_application_input_processing_configuration({ # application_name: "ApplicationName", # required # current_application_version_id: 1, # required # input_id: "Id", # required # input_processing_configuration: { # required # input_lambda_processor: { # required # resource_arn: "ResourceARN", # required # role_arn: "RoleARN", # required # }, # }, # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/AddApplicationInputProcessingConfiguration AWS API Documentation # # @overload add_application_input_processing_configuration(params = {}) # @param [Hash] params ({}) def add_application_input_processing_configuration(params = {}, options = {}) req = build_request(:add_application_input_processing_configuration, params) req.send_request(options) end # Adds an external destination to your Amazon Kinesis Analytics # application. # # If you want Amazon Kinesis Analytics to deliver data from an # in-application stream within your application to an external # destination (such as an Amazon Kinesis stream, an Amazon Kinesis # 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. For more information, see [Understanding # Application Output (Destination)][1]. # # 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. # # For the limits on the number of application inputs and outputs you can # configure, see [Limits][2]. # # This operation requires permissions to perform the # `kinesisanalytics:AddApplicationOutput` action. # # # # [1]: http://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-output.html # [2]: http://docs.aws.amazon.com/kinesisanalytics/latest/dev/limits.html # # @option params [required, String] :application_name # Name of the application to which you want to add the output # configuration. # # @option params [required, Integer] :current_application_version_id # Version of the application to which you want to add the output # configuration. You can use the DescribeApplication operation to get # the current application version. If the version specified is not the # current version, the `ConcurrentModificationException` is returned. # # @option params [required, Types::Output] :output # An array of objects, each describing one output configuration. In the # output configuration, you specify the name of an in-application # stream, a destination (that is, an Amazon Kinesis stream, an Amazon # Kinesis Firehose delivery stream, or an AWS Lambda function), and # record the formation to use when writing to the destination. # # @return [Struct] Returns an empty {Seahorse::Client::Response response}. # # @example Request syntax with placeholder values # # resp = client.add_application_output({ # application_name: "ApplicationName", # required # current_application_version_id: 1, # required # output: { # required # name: "InAppStreamName", # required # kinesis_streams_output: { # resource_arn: "ResourceARN", # required # role_arn: "RoleARN", # required # }, # kinesis_firehose_output: { # resource_arn: "ResourceARN", # required # role_arn: "RoleARN", # required # }, # lambda_output: { # resource_arn: "ResourceARN", # required # role_arn: "RoleARN", # required # }, # destination_schema: { # required # record_format_type: "JSON", # required, accepts JSON, CSV # }, # }, # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/AddApplicationOutput AWS API Documentation # # @overload add_application_output(params = {}) # @param [Hash] params ({}) def add_application_output(params = {}, options = {}) req = build_request(:add_application_output, params) req.send_request(options) end # Adds a reference data source to an existing application. # # Amazon Kinesis 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 Amazon S3 object maps # to columns in the resulting in-application table. # # For conceptual information, see [Configuring Application Input][1]. # For the limits on data sources you can add to your application, see # [Limits][2]. # # This operation requires permissions to perform the # `kinesisanalytics:AddApplicationOutput` action. # # # # [1]: http://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-input.html # [2]: http://docs.aws.amazon.com/kinesisanalytics/latest/dev/limits.html # # @option params [required, String] :application_name # Name of an existing application. # # @option params [required, Integer] :current_application_version_id # Version of the application for which you are adding the reference data # source. You can use the DescribeApplication operation to get the # current application version. If the version specified is not the # current version, the `ConcurrentModificationException` is returned. # # @option params [required, Types::ReferenceDataSource] :reference_data_source # The reference data source can be an object in your Amazon S3 bucket. # Amazon Kinesis Analytics reads the object and copies the data into the # in-application table that is created. You provide an S3 bucket, object # key name, and the resulting in-application table that is created. You # must also provide an IAM role with the necessary permissions that # Amazon Kinesis Analytics can assume to read the object from your S3 # bucket on your behalf. # # @return [Struct] Returns an empty {Seahorse::Client::Response response}. # # @example Request syntax with placeholder values # # resp = client.add_application_reference_data_source({ # application_name: "ApplicationName", # required # current_application_version_id: 1, # required # reference_data_source: { # required # table_name: "InAppTableName", # required # s3_reference_data_source: { # bucket_arn: "BucketARN", # required # file_key: "FileKey", # required # reference_role_arn: "RoleARN", # required # }, # reference_schema: { # required # record_format: { # required # record_format_type: "JSON", # required, accepts JSON, CSV # mapping_parameters: { # json_mapping_parameters: { # record_row_path: "RecordRowPath", # required # }, # csv_mapping_parameters: { # record_row_delimiter: "RecordRowDelimiter", # required # record_column_delimiter: "RecordColumnDelimiter", # required # }, # }, # }, # record_encoding: "RecordEncoding", # record_columns: [ # required # { # name: "RecordColumnName", # required # mapping: "RecordColumnMapping", # sql_type: "RecordColumnSqlType", # required # }, # ], # }, # }, # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/AddApplicationReferenceDataSource AWS API Documentation # # @overload add_application_reference_data_source(params = {}) # @param [Hash] params ({}) def add_application_reference_data_source(params = {}, options = {}) req = build_request(:add_application_reference_data_source, params) req.send_request(options) end # Creates an Amazon Kinesis Analytics application. You can configure # each application with one streaming source as input, application code # to process the input, and up to three destinations where you want # Amazon Kinesis Analytics to write the output data from your # application. For an overview, see [How it Works][1]. # # In the input configuration, you map the streaming source to an # in-application stream, which you can think of as a constantly updating # table. In the mapping, you must provide a schema for the # in-application stream and map each data column in the in-application # stream to a data element in the streaming source. # # Your application code is one or more SQL statements that read input # data, transform it, and generate output. Your application code can # create one or more SQL artifacts like SQL streams or pumps. # # In the output configuration, you can configure the application to # write data from in-application streams created in your applications to # up to three destinations. # # To read data from your source stream or write data to destination # streams, Amazon Kinesis Analytics needs your permissions. You grant # these permissions by creating IAM roles. This operation requires # permissions to perform the `kinesisanalytics:CreateApplication` # action. # # For introductory exercises to create an Amazon Kinesis Analytics # application, see [Getting Started][2]. # # # # [1]: http://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works.html # [2]: http://docs.aws.amazon.com/kinesisanalytics/latest/dev/getting-started.html # # @option params [required, String] :application_name # Name of your Amazon Kinesis Analytics application (for example, # `sample-app`). # # @option params [String] :application_description # Summary description of the application. # # @option params [Array] :inputs # Use this parameter to configure the application input. # # You can configure your application to receive input from a single # streaming source. In this configuration, you map this streaming source # to an in-application stream that is created. Your application code can # then query the in-application stream like a table (you can think of it # as a constantly updating table). # # For the streaming source, you provide its Amazon Resource Name (ARN) # and format of data on the stream (for example, JSON, CSV, etc.). You # also must provide an IAM role that Amazon Kinesis Analytics can assume # to read this stream on your behalf. # # To create the in-application stream, you need to specify a schema to # transform your data into a schematized version used in SQL. In the # schema, you provide the necessary mapping of the data elements in the # streaming source to record columns in the in-app stream. # # @option params [Array] :outputs # You can configure application output to write data from any of the # in-application streams to up to three destinations. # # These destinations can be Amazon Kinesis streams, Amazon Kinesis # Firehose delivery streams, AWS Lambda destinations, or any combination # of the three. # # In the configuration, you specify the in-application stream name, the # destination stream or Lambda function Amazon Resource Name (ARN), and # the format to use when writing data. You must also provide an IAM role # that Amazon Kinesis Analytics can assume to write to the destination # stream or Lambda function on your behalf. # # In the output configuration, you also provide the output stream or # Lambda function ARN. For stream destinations, you provide the format # of data in the stream (for example, JSON, CSV). You also must provide # an IAM role that Amazon Kinesis Analytics can assume to write to the # stream or Lambda function on your behalf. # # @option params [Array] :cloud_watch_logging_options # Use this parameter to configure a CloudWatch log stream to monitor # application configuration errors. For more information, see [Working # with Amazon CloudWatch Logs][1]. # # # # [1]: http://docs.aws.amazon.com/kinesisanalytics/latest/dev/cloudwatch-logs.html # # @option params [String] :application_code # One or more SQL statements that read input data, transform it, and # generate output. For example, you can write a SQL statement that reads # data from one in-application stream, generates a running average of # the number of advertisement clicks by vendor, and insert resulting # rows in another in-application stream using pumps. For more # information about the typical pattern, see [Application Code][1]. # # You can provide such series of SQL statements, where output of one # statement can be used as the input for the next statement. You store # intermediate results by creating in-application streams and pumps. # # Note that the application code must create the streams with names # specified in the `Outputs`. For example, if your `Outputs` defines # output streams named `ExampleOutputStream1` and # `ExampleOutputStream2`, then your application code must create these # streams. # # # # [1]: http://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-app-code.html # # @return [Types::CreateApplicationResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::CreateApplicationResponse#application_summary #application_summary} => Types::ApplicationSummary # # @example Request syntax with placeholder values # # resp = client.create_application({ # application_name: "ApplicationName", # required # application_description: "ApplicationDescription", # inputs: [ # { # name_prefix: "InAppStreamName", # required # input_processing_configuration: { # input_lambda_processor: { # required # resource_arn: "ResourceARN", # required # role_arn: "RoleARN", # required # }, # }, # kinesis_streams_input: { # resource_arn: "ResourceARN", # required # role_arn: "RoleARN", # required # }, # kinesis_firehose_input: { # resource_arn: "ResourceARN", # required # role_arn: "RoleARN", # required # }, # input_parallelism: { # count: 1, # }, # input_schema: { # required # record_format: { # required # record_format_type: "JSON", # required, accepts JSON, CSV # mapping_parameters: { # json_mapping_parameters: { # record_row_path: "RecordRowPath", # required # }, # csv_mapping_parameters: { # record_row_delimiter: "RecordRowDelimiter", # required # record_column_delimiter: "RecordColumnDelimiter", # required # }, # }, # }, # record_encoding: "RecordEncoding", # record_columns: [ # required # { # name: "RecordColumnName", # required # mapping: "RecordColumnMapping", # sql_type: "RecordColumnSqlType", # required # }, # ], # }, # }, # ], # outputs: [ # { # name: "InAppStreamName", # required # kinesis_streams_output: { # resource_arn: "ResourceARN", # required # role_arn: "RoleARN", # required # }, # kinesis_firehose_output: { # resource_arn: "ResourceARN", # required # role_arn: "RoleARN", # required # }, # lambda_output: { # resource_arn: "ResourceARN", # required # role_arn: "RoleARN", # required # }, # destination_schema: { # required # record_format_type: "JSON", # required, accepts JSON, CSV # }, # }, # ], # cloud_watch_logging_options: [ # { # log_stream_arn: "LogStreamARN", # required # role_arn: "RoleARN", # required # }, # ], # application_code: "ApplicationCode", # }) # # @example Response structure # # resp.application_summary.application_name #=> String # resp.application_summary.application_arn #=> String # resp.application_summary.application_status #=> String, one of "DELETING", "STARTING", "STOPPING", "READY", "RUNNING", "UPDATING" # # @see http://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/CreateApplication AWS API Documentation # # @overload create_application(params = {}) # @param [Hash] params ({}) def create_application(params = {}, options = {}) req = build_request(:create_application, params) req.send_request(options) end # Deletes the specified application. Amazon Kinesis Analytics halts # application execution and deletes the application, including any # application artifacts (such as in-application streams, reference # table, and application code). # # This operation requires permissions to perform the # `kinesisanalytics:DeleteApplication` action. # # @option params [required, String] :application_name # Name of the Amazon Kinesis Analytics application to delete. # # @option params [required, Time,DateTime,Date,Integer,String] :create_timestamp # You can use the `DescribeApplication` operation to get this value. # # @return [Struct] Returns an empty {Seahorse::Client::Response response}. # # @example Request syntax with placeholder values # # resp = client.delete_application({ # application_name: "ApplicationName", # required # create_timestamp: Time.now, # required # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/DeleteApplication AWS API Documentation # # @overload delete_application(params = {}) # @param [Hash] params ({}) def delete_application(params = {}, options = {}) req = build_request(:delete_application, params) req.send_request(options) end # Deletes a CloudWatch log stream from an application. For more # information about using CloudWatch log streams with Amazon Kinesis # Analytics applications, see [Working with Amazon CloudWatch Logs][1]. # # # # [1]: http://docs.aws.amazon.com/kinesisanalytics/latest/dev/cloudwatch-logs.html # # @option params [required, String] :application_name # The Kinesis Analytics application name. # # @option params [required, Integer] :current_application_version_id # The version ID of the Kinesis Analytics application. # # @option params [required, String] :cloud_watch_logging_option_id # The `CloudWatchLoggingOptionId` of the CloudWatch logging option to # delete. You can get the `CloudWatchLoggingOptionId` by using the # DescribeApplication operation. # # @return [Struct] Returns an empty {Seahorse::Client::Response response}. # # @example Request syntax with placeholder values # # resp = client.delete_application_cloud_watch_logging_option({ # application_name: "ApplicationName", # required # current_application_version_id: 1, # required # cloud_watch_logging_option_id: "Id", # required # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/DeleteApplicationCloudWatchLoggingOption AWS API Documentation # # @overload delete_application_cloud_watch_logging_option(params = {}) # @param [Hash] params ({}) def delete_application_cloud_watch_logging_option(params = {}, options = {}) req = build_request(:delete_application_cloud_watch_logging_option, params) req.send_request(options) end # Deletes an InputProcessingConfiguration from an input. # # @option params [required, String] :application_name # The Kinesis Analytics application name. # # @option params [required, Integer] :current_application_version_id # The version ID of the Kinesis Analytics application. # # @option params [required, String] :input_id # The ID of the input configuration from which to delete the input # processing configuration. You can get a list of the input IDs for an # application by using the DescribeApplication operation. # # @return [Struct] Returns an empty {Seahorse::Client::Response response}. # # @example Request syntax with placeholder values # # resp = client.delete_application_input_processing_configuration({ # application_name: "ApplicationName", # required # current_application_version_id: 1, # required # input_id: "Id", # required # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/DeleteApplicationInputProcessingConfiguration AWS API Documentation # # @overload delete_application_input_processing_configuration(params = {}) # @param [Hash] params ({}) def delete_application_input_processing_configuration(params = {}, options = {}) req = build_request(:delete_application_input_processing_configuration, params) req.send_request(options) end # Deletes output destination configuration from your application # configuration. Amazon Kinesis Analytics will no longer write data from # the corresponding in-application stream to the external output # destination. # # This operation requires permissions to perform the # `kinesisanalytics:DeleteApplicationOutput` action. # # @option params [required, String] :application_name # Amazon Kinesis Analytics application name. # # @option params [required, Integer] :current_application_version_id # Amazon Kinesis Analytics application version. You can use the # DescribeApplication operation to get the current application version. # If the version specified is not the current version, the # `ConcurrentModificationException` is returned. # # @option params [required, String] :output_id # The ID of the configuration to delete. Each output configuration that # is added to the application, either when the application is created or # later using the AddApplicationOutput operation, has a unique ID. You # need to provide the ID to uniquely identify the output configuration # that you want to delete from the application configuration. You can # use the DescribeApplication operation to get the specific `OutputId`. # # @return [Struct] Returns an empty {Seahorse::Client::Response response}. # # @example Request syntax with placeholder values # # resp = client.delete_application_output({ # application_name: "ApplicationName", # required # current_application_version_id: 1, # required # output_id: "Id", # required # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/DeleteApplicationOutput AWS API Documentation # # @overload delete_application_output(params = {}) # @param [Hash] params ({}) def delete_application_output(params = {}, options = {}) req = build_request(:delete_application_output, params) req.send_request(options) end # Deletes a reference data source configuration from the specified # application configuration. # # If the application is running, Amazon Kinesis Analytics immediately # removes the in-application table that you created using the # AddApplicationReferenceDataSource operation. # # This operation requires permissions to perform the # `kinesisanalytics.DeleteApplicationReferenceDataSource` action. # # @option params [required, String] :application_name # Name of an existing application. # # @option params [required, Integer] :current_application_version_id # Version of the application. You can use the DescribeApplication # operation to get the current application version. If the version # specified is not the current version, the # `ConcurrentModificationException` is returned. # # @option params [required, String] :reference_id # ID of the reference data source. When you add a reference data source # to your application using the AddApplicationReferenceDataSource, # Amazon Kinesis Analytics assigns an ID. You can use the # DescribeApplication operation to get the reference ID. # # @return [Struct] Returns an empty {Seahorse::Client::Response response}. # # @example Request syntax with placeholder values # # resp = client.delete_application_reference_data_source({ # application_name: "ApplicationName", # required # current_application_version_id: 1, # required # reference_id: "Id", # required # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/DeleteApplicationReferenceDataSource AWS API Documentation # # @overload delete_application_reference_data_source(params = {}) # @param [Hash] params ({}) def delete_application_reference_data_source(params = {}, options = {}) req = build_request(:delete_application_reference_data_source, params) req.send_request(options) end # Returns information about a specific Amazon Kinesis Analytics # application. # # If you want to retrieve a list of all applications in your account, # use the ListApplications operation. # # This operation requires permissions to perform the # `kinesisanalytics:DescribeApplication` action. You can use # `DescribeApplication` to get the current application versionId, which # you need to call other operations such as `Update`. # # @option params [required, String] :application_name # Name of the application. # # @return [Types::DescribeApplicationResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::DescribeApplicationResponse#application_detail #application_detail} => Types::ApplicationDetail # # @example Request syntax with placeholder values # # resp = client.describe_application({ # application_name: "ApplicationName", # required # }) # # @example Response structure # # resp.application_detail.application_name #=> String # resp.application_detail.application_description #=> String # resp.application_detail.application_arn #=> String # resp.application_detail.application_status #=> String, one of "DELETING", "STARTING", "STOPPING", "READY", "RUNNING", "UPDATING" # resp.application_detail.create_timestamp #=> Time # resp.application_detail.last_update_timestamp #=> Time # resp.application_detail.input_descriptions #=> Array # resp.application_detail.input_descriptions[0].input_id #=> String # resp.application_detail.input_descriptions[0].name_prefix #=> String # resp.application_detail.input_descriptions[0].in_app_stream_names #=> Array # resp.application_detail.input_descriptions[0].in_app_stream_names[0] #=> String # resp.application_detail.input_descriptions[0].input_processing_configuration_description.input_lambda_processor_description.resource_arn #=> String # resp.application_detail.input_descriptions[0].input_processing_configuration_description.input_lambda_processor_description.role_arn #=> String # resp.application_detail.input_descriptions[0].kinesis_streams_input_description.resource_arn #=> String # resp.application_detail.input_descriptions[0].kinesis_streams_input_description.role_arn #=> String # resp.application_detail.input_descriptions[0].kinesis_firehose_input_description.resource_arn #=> String # resp.application_detail.input_descriptions[0].kinesis_firehose_input_description.role_arn #=> String # resp.application_detail.input_descriptions[0].input_schema.record_format.record_format_type #=> String, one of "JSON", "CSV" # resp.application_detail.input_descriptions[0].input_schema.record_format.mapping_parameters.json_mapping_parameters.record_row_path #=> String # resp.application_detail.input_descriptions[0].input_schema.record_format.mapping_parameters.csv_mapping_parameters.record_row_delimiter #=> String # resp.application_detail.input_descriptions[0].input_schema.record_format.mapping_parameters.csv_mapping_parameters.record_column_delimiter #=> String # resp.application_detail.input_descriptions[0].input_schema.record_encoding #=> String # resp.application_detail.input_descriptions[0].input_schema.record_columns #=> Array # resp.application_detail.input_descriptions[0].input_schema.record_columns[0].name #=> String # resp.application_detail.input_descriptions[0].input_schema.record_columns[0].mapping #=> String # resp.application_detail.input_descriptions[0].input_schema.record_columns[0].sql_type #=> String # resp.application_detail.input_descriptions[0].input_parallelism.count #=> Integer # resp.application_detail.input_descriptions[0].input_starting_position_configuration.input_starting_position #=> String, one of "NOW", "TRIM_HORIZON", "LAST_STOPPED_POINT" # resp.application_detail.output_descriptions #=> Array # resp.application_detail.output_descriptions[0].output_id #=> String # resp.application_detail.output_descriptions[0].name #=> String # resp.application_detail.output_descriptions[0].kinesis_streams_output_description.resource_arn #=> String # resp.application_detail.output_descriptions[0].kinesis_streams_output_description.role_arn #=> String # resp.application_detail.output_descriptions[0].kinesis_firehose_output_description.resource_arn #=> String # resp.application_detail.output_descriptions[0].kinesis_firehose_output_description.role_arn #=> String # resp.application_detail.output_descriptions[0].lambda_output_description.resource_arn #=> String # resp.application_detail.output_descriptions[0].lambda_output_description.role_arn #=> String # resp.application_detail.output_descriptions[0].destination_schema.record_format_type #=> String, one of "JSON", "CSV" # resp.application_detail.reference_data_source_descriptions #=> Array # resp.application_detail.reference_data_source_descriptions[0].reference_id #=> String # resp.application_detail.reference_data_source_descriptions[0].table_name #=> String # resp.application_detail.reference_data_source_descriptions[0].s3_reference_data_source_description.bucket_arn #=> String # resp.application_detail.reference_data_source_descriptions[0].s3_reference_data_source_description.file_key #=> String # resp.application_detail.reference_data_source_descriptions[0].s3_reference_data_source_description.reference_role_arn #=> String # resp.application_detail.reference_data_source_descriptions[0].reference_schema.record_format.record_format_type #=> String, one of "JSON", "CSV" # resp.application_detail.reference_data_source_descriptions[0].reference_schema.record_format.mapping_parameters.json_mapping_parameters.record_row_path #=> String # resp.application_detail.reference_data_source_descriptions[0].reference_schema.record_format.mapping_parameters.csv_mapping_parameters.record_row_delimiter #=> String # resp.application_detail.reference_data_source_descriptions[0].reference_schema.record_format.mapping_parameters.csv_mapping_parameters.record_column_delimiter #=> String # resp.application_detail.reference_data_source_descriptions[0].reference_schema.record_encoding #=> String # resp.application_detail.reference_data_source_descriptions[0].reference_schema.record_columns #=> Array # resp.application_detail.reference_data_source_descriptions[0].reference_schema.record_columns[0].name #=> String # resp.application_detail.reference_data_source_descriptions[0].reference_schema.record_columns[0].mapping #=> String # resp.application_detail.reference_data_source_descriptions[0].reference_schema.record_columns[0].sql_type #=> String # resp.application_detail.cloud_watch_logging_option_descriptions #=> Array # resp.application_detail.cloud_watch_logging_option_descriptions[0].cloud_watch_logging_option_id #=> String # resp.application_detail.cloud_watch_logging_option_descriptions[0].log_stream_arn #=> String # resp.application_detail.cloud_watch_logging_option_descriptions[0].role_arn #=> String # resp.application_detail.application_code #=> String # resp.application_detail.application_version_id #=> Integer # # @see http://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/DescribeApplication AWS API Documentation # # @overload describe_application(params = {}) # @param [Hash] params ({}) def describe_application(params = {}, options = {}) req = build_request(:describe_application, params) req.send_request(options) end # Infers a schema by evaluating sample records on the specified # streaming source (Amazon Kinesis stream or Amazon Kinesis Firehose # delivery stream) or 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. For conceptual information, see [Configuring # Application Input][1]. Note that when you create an application using # the Amazon Kinesis Analytics console, the console uses this operation # to infer a schema and show it in the console user interface. # # This operation requires permissions to perform the # `kinesisanalytics:DiscoverInputSchema` action. # # # # [1]: http://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-input.html # # @option params [String] :resource_arn # Amazon Resource Name (ARN) of the streaming source. # # @option params [String] :role_arn # ARN of the IAM role that Amazon Kinesis Analytics can assume to access # the stream on your behalf. # # @option params [Types::InputStartingPositionConfiguration] :input_starting_position_configuration # Point at which you want Amazon Kinesis Analytics to start reading # records from the specified streaming source discovery purposes. # # @option params [Types::S3Configuration] :s3_configuration # Specify this parameter to discover a schema from data in an Amazon S3 # object. # # @option params [Types::InputProcessingConfiguration] :input_processing_configuration # The InputProcessingConfiguration to use to preprocess the records # before discovering the schema of the records. # # @return [Types::DiscoverInputSchemaResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::DiscoverInputSchemaResponse#input_schema #input_schema} => Types::SourceSchema # * {Types::DiscoverInputSchemaResponse#parsed_input_records #parsed_input_records} => Array<Array<String>> # * {Types::DiscoverInputSchemaResponse#processed_input_records #processed_input_records} => Array<String> # * {Types::DiscoverInputSchemaResponse#raw_input_records #raw_input_records} => Array<String> # # @example Request syntax with placeholder values # # resp = client.discover_input_schema({ # resource_arn: "ResourceARN", # role_arn: "RoleARN", # input_starting_position_configuration: { # input_starting_position: "NOW", # accepts NOW, TRIM_HORIZON, LAST_STOPPED_POINT # }, # s3_configuration: { # role_arn: "RoleARN", # required # bucket_arn: "BucketARN", # required # file_key: "FileKey", # required # }, # input_processing_configuration: { # input_lambda_processor: { # required # resource_arn: "ResourceARN", # required # role_arn: "RoleARN", # required # }, # }, # }) # # @example Response structure # # resp.input_schema.record_format.record_format_type #=> String, one of "JSON", "CSV" # resp.input_schema.record_format.mapping_parameters.json_mapping_parameters.record_row_path #=> String # resp.input_schema.record_format.mapping_parameters.csv_mapping_parameters.record_row_delimiter #=> String # resp.input_schema.record_format.mapping_parameters.csv_mapping_parameters.record_column_delimiter #=> String # resp.input_schema.record_encoding #=> String # resp.input_schema.record_columns #=> Array # resp.input_schema.record_columns[0].name #=> String # resp.input_schema.record_columns[0].mapping #=> String # resp.input_schema.record_columns[0].sql_type #=> String # resp.parsed_input_records #=> Array # resp.parsed_input_records[0] #=> Array # resp.parsed_input_records[0][0] #=> String # resp.processed_input_records #=> Array # resp.processed_input_records[0] #=> String # resp.raw_input_records #=> Array # resp.raw_input_records[0] #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/DiscoverInputSchema AWS API Documentation # # @overload discover_input_schema(params = {}) # @param [Hash] params ({}) def discover_input_schema(params = {}, options = {}) req = build_request(:discover_input_schema, params) req.send_request(options) end # Returns a list of Amazon Kinesis Analytics applications in your # account. For each application, the response includes the application # name, Amazon Resource Name (ARN), and status. If the response returns # the `HasMoreApplications` value as true, you can send another request # by adding the `ExclusiveStartApplicationName` in the request body, and # set the value of this to the last application name from the previous # response. # # If you want detailed information about a specific application, use # DescribeApplication. # # This operation requires permissions to perform the # `kinesisanalytics:ListApplications` action. # # @option params [Integer] :limit # Maximum number of applications to list. # # @option params [String] :exclusive_start_application_name # Name of the application to start the list with. When using pagination # to retrieve the list, you don't need to specify this parameter in the # first request. However, in subsequent requests, you add the last # application name from the previous response to get the next page of # applications. # # @return [Types::ListApplicationsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::ListApplicationsResponse#application_summaries #application_summaries} => Array<Types::ApplicationSummary> # * {Types::ListApplicationsResponse#has_more_applications #has_more_applications} => Boolean # # @example Request syntax with placeholder values # # resp = client.list_applications({ # limit: 1, # exclusive_start_application_name: "ApplicationName", # }) # # @example Response structure # # resp.application_summaries #=> Array # resp.application_summaries[0].application_name #=> String # resp.application_summaries[0].application_arn #=> String # resp.application_summaries[0].application_status #=> String, one of "DELETING", "STARTING", "STOPPING", "READY", "RUNNING", "UPDATING" # resp.has_more_applications #=> Boolean # # @see http://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/ListApplications AWS API Documentation # # @overload list_applications(params = {}) # @param [Hash] params ({}) def list_applications(params = {}, options = {}) req = build_request(:list_applications, params) req.send_request(options) end # Starts the specified Amazon Kinesis Analytics application. After # creating an application, you must exclusively call this operation to # start your application. # # After the application starts, it begins consuming the input data, # processes it, and writes the output to the configured destination. # # The application status must be `READY` for you to start an # application. You can get the application status in the console or # using the DescribeApplication operation. # # After you start the application, you can stop the application from # processing the input by calling the StopApplication operation. # # This operation requires permissions to perform the # `kinesisanalytics:StartApplication` action. # # @option params [required, String] :application_name # Name of the application. # # @option params [required, Array] :input_configurations # Identifies the specific input, by ID, that the application starts # consuming. Amazon Kinesis Analytics starts reading the streaming # source associated with the input. You can also specify where in the # streaming source you want Amazon Kinesis Analytics to start reading. # # @return [Struct] Returns an empty {Seahorse::Client::Response response}. # # @example Request syntax with placeholder values # # resp = client.start_application({ # application_name: "ApplicationName", # required # input_configurations: [ # required # { # id: "Id", # required # input_starting_position_configuration: { # required # input_starting_position: "NOW", # accepts NOW, TRIM_HORIZON, LAST_STOPPED_POINT # }, # }, # ], # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/StartApplication AWS API Documentation # # @overload start_application(params = {}) # @param [Hash] params ({}) def start_application(params = {}, options = {}) req = build_request(:start_application, params) req.send_request(options) end # Stops the application from processing input data. You can stop an # application only if it is in the running state. You can use the # DescribeApplication operation to find the application state. After the # application is stopped, Amazon Kinesis Analytics stops reading data # from the input, the application stops processing data, and there is no # output written to the destination. # # This operation requires permissions to perform the # `kinesisanalytics:StopApplication` action. # # @option params [required, String] :application_name # Name of the running application to stop. # # @return [Struct] Returns an empty {Seahorse::Client::Response response}. # # @example Request syntax with placeholder values # # resp = client.stop_application({ # application_name: "ApplicationName", # required # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/StopApplication AWS API Documentation # # @overload stop_application(params = {}) # @param [Hash] params ({}) def stop_application(params = {}, options = {}) req = build_request(:stop_application, params) req.send_request(options) end # Updates an existing Amazon Kinesis Analytics application. Using this # API, you can update application code, input configuration, and output # configuration. # # Note that Amazon Kinesis Analytics updates the # `CurrentApplicationVersionId` each time you update your application. # # This operation requires permission for the # `kinesisanalytics:UpdateApplication` action. # # @option params [required, String] :application_name # Name of the Amazon Kinesis Analytics application to update. # # @option params [required, Integer] :current_application_version_id # The current application version ID. You can use the # DescribeApplication operation to get this value. # # @option params [required, Types::ApplicationUpdate] :application_update # Describes application updates. # # @return [Struct] Returns an empty {Seahorse::Client::Response response}. # # @example Request syntax with placeholder values # # resp = client.update_application({ # application_name: "ApplicationName", # required # current_application_version_id: 1, # required # application_update: { # required # input_updates: [ # { # input_id: "Id", # required # name_prefix_update: "InAppStreamName", # input_processing_configuration_update: { # input_lambda_processor_update: { # required # resource_arn_update: "ResourceARN", # role_arn_update: "RoleARN", # }, # }, # kinesis_streams_input_update: { # resource_arn_update: "ResourceARN", # role_arn_update: "RoleARN", # }, # kinesis_firehose_input_update: { # resource_arn_update: "ResourceARN", # role_arn_update: "RoleARN", # }, # input_schema_update: { # record_format_update: { # record_format_type: "JSON", # required, accepts JSON, CSV # mapping_parameters: { # json_mapping_parameters: { # record_row_path: "RecordRowPath", # required # }, # csv_mapping_parameters: { # record_row_delimiter: "RecordRowDelimiter", # required # record_column_delimiter: "RecordColumnDelimiter", # required # }, # }, # }, # record_encoding_update: "RecordEncoding", # record_column_updates: [ # { # name: "RecordColumnName", # required # mapping: "RecordColumnMapping", # sql_type: "RecordColumnSqlType", # required # }, # ], # }, # input_parallelism_update: { # count_update: 1, # }, # }, # ], # application_code_update: "ApplicationCode", # output_updates: [ # { # output_id: "Id", # required # name_update: "InAppStreamName", # kinesis_streams_output_update: { # resource_arn_update: "ResourceARN", # role_arn_update: "RoleARN", # }, # kinesis_firehose_output_update: { # resource_arn_update: "ResourceARN", # role_arn_update: "RoleARN", # }, # lambda_output_update: { # resource_arn_update: "ResourceARN", # role_arn_update: "RoleARN", # }, # destination_schema_update: { # record_format_type: "JSON", # required, accepts JSON, CSV # }, # }, # ], # reference_data_source_updates: [ # { # reference_id: "Id", # required # table_name_update: "InAppTableName", # s3_reference_data_source_update: { # bucket_arn_update: "BucketARN", # file_key_update: "FileKey", # reference_role_arn_update: "RoleARN", # }, # reference_schema_update: { # record_format: { # required # record_format_type: "JSON", # required, accepts JSON, CSV # mapping_parameters: { # json_mapping_parameters: { # record_row_path: "RecordRowPath", # required # }, # csv_mapping_parameters: { # record_row_delimiter: "RecordRowDelimiter", # required # record_column_delimiter: "RecordColumnDelimiter", # required # }, # }, # }, # record_encoding: "RecordEncoding", # record_columns: [ # required # { # name: "RecordColumnName", # required # mapping: "RecordColumnMapping", # sql_type: "RecordColumnSqlType", # required # }, # ], # }, # }, # ], # cloud_watch_logging_option_updates: [ # { # cloud_watch_logging_option_id: "Id", # required # log_stream_arn_update: "LogStreamARN", # role_arn_update: "RoleARN", # }, # ], # }, # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/UpdateApplication AWS API Documentation # # @overload update_application(params = {}) # @param [Hash] params ({}) def update_application(params = {}, options = {}) req = build_request(:update_application, params) req.send_request(options) end # @!endgroup # @param params ({}) # @api private def build_request(operation_name, params = {}) handlers = @handlers.for(operation_name) context = Seahorse::Client::RequestContext.new( operation_name: operation_name, operation: config.api.operation(operation_name), client: self, params: params, config: config) context[:gem_name] = 'aws-sdk-kinesisanalytics' context[:gem_version] = '1.11.0' Seahorse::Client::Request.new(handlers, context) end # @api private # @deprecated def waiter_names [] end class << self # @api private attr_reader :identifier # @api private def errors_module Errors end end end end