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# WARNING: DO NOT EDIT, AUTO-GENERATED CODE!
# See https://github.com/aws-beam/aws-codegen for more details.
defmodule AWS.KinesisAnalytics do
@moduledoc """
Amazon Kinesis Analytics
## Overview
This documentation is for version 1 of the Amazon Kinesis Data Analytics API,
which only supports SQL applications.
Version 2 of the API supports SQL and Java applications. For more information
about version 2, see [Amazon Kinesis Data Analytics API V2 Documentation](/kinesisanalytics/latest/apiv2/Welcome.html).
This is the *Amazon Kinesis Analytics v1 API Reference*. The Amazon Kinesis
Analytics Developer Guide provides additional information.
"""
alias AWS.Client
alias AWS.Request
def metadata do
%AWS.ServiceMetadata{
abbreviation: "Kinesis Analytics",
api_version: "2015-08-14",
content_type: "application/x-amz-json-1.1",
credential_scope: nil,
endpoint_prefix: "kinesisanalytics",
global?: false,
protocol: "json",
service_id: "Kinesis Analytics",
signature_version: "v4",
signing_name: "kinesisanalytics",
target_prefix: "KinesisAnalytics_20150814"
}
end
@doc """
This documentation is for version 1 of the Amazon Kinesis Data Analytics API,
which only supports SQL applications.
Version 2 of the API supports SQL and Java applications. For more information
about version 2, see [Amazon Kinesis Data Analytics API V2 Documentation](/kinesisanalytics/latest/apiv2/Welcome.html).
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](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/cloudwatch-logs.html).
"""
def add_application_cloud_watch_logging_option(%Client{} = client, input, options \\ []) do
Request.request_post(
client,
metadata(),
"AddApplicationCloudWatchLoggingOption",
input,
options
)
end
@doc """
This documentation is for version 1 of the Amazon Kinesis Data Analytics API,
which only supports SQL applications.
Version 2 of the API supports SQL and Java applications. For more information
about version 2, see [Amazon Kinesis Data Analytics API V2 Documentation](/kinesisanalytics/latest/apiv2/Welcome.html).
Adds a streaming source to your Amazon Kinesis application. For conceptual
information, see [Configuring Application Input](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-input.html).
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](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/API_CreateApplication.html). Any configuration update, including adding a streaming source using this
operation, results in a new version of the application. You can use the
[DescribeApplication](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/API_DescribeApplication.html)
operation to find the current application version.
This operation requires permissions to perform the
`kinesisanalytics:AddApplicationInput` action.
"""
def add_application_input(%Client{} = client, input, options \\ []) do
Request.request_post(client, metadata(), "AddApplicationInput", input, options)
end
@doc """
This documentation is for version 1 of the Amazon Kinesis Data Analytics API,
which only supports SQL applications.
Version 2 of the API supports SQL and Java applications. For more information
about version 2, see [Amazon Kinesis Data Analytics API V2 Documentation](/kinesisanalytics/latest/apiv2/Welcome.html).
Adds an
[InputProcessingConfiguration](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/API_InputProcessingConfiguration.html) 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](https://docs.aws.amazon.com/lambda/).
"""
def add_application_input_processing_configuration(%Client{} = client, input, options \\ []) do
Request.request_post(
client,
metadata(),
"AddApplicationInputProcessingConfiguration",
input,
options
)
end
@doc """
This documentation is for version 1 of the Amazon Kinesis Data Analytics API,
which only supports SQL applications.
Version 2 of the API supports SQL and Java applications. For more information
about version 2, see [Amazon Kinesis Data Analytics API V2 Documentation](/kinesisanalytics/latest/apiv2/Welcome.html).
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)](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-output.html).
Any configuration update, including adding a streaming source using this
operation, results in a new version of the application. You can use the
[DescribeApplication](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/API_DescribeApplication.html) operation to find the current application version.
For the limits on the number of application inputs and outputs you can
configure, see
[Limits](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/limits.html).
This operation requires permissions to perform the
`kinesisanalytics:AddApplicationOutput` action.
"""
def add_application_output(%Client{} = client, input, options \\ []) do
Request.request_post(client, metadata(), "AddApplicationOutput", input, options)
end
@doc """
This documentation is for version 1 of the Amazon Kinesis Data Analytics API,
which only supports SQL applications.
Version 2 of the API supports SQL and Java applications. For more information
about version 2, see [Amazon Kinesis Data Analytics API V2 Documentation](/kinesisanalytics/latest/apiv2/Welcome.html).
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](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-input.html).
For the limits on data sources you can add to your application, see
[Limits](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/limits.html).
This operation requires permissions to perform the
`kinesisanalytics:AddApplicationOutput` action.
"""
def add_application_reference_data_source(%Client{} = client, input, options \\ []) do
Request.request_post(client, metadata(), "AddApplicationReferenceDataSource", input, options)
end
@doc """
This documentation is for version 1 of the Amazon Kinesis Data Analytics API,
which only supports SQL applications.
Version 2 of the API supports SQL and Java applications. For more information
about version 2, see [Amazon Kinesis Data Analytics API V2 Documentation](/kinesisanalytics/latest/apiv2/Welcome.html).
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](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works.html).
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](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/getting-started.html).
"""
def create_application(%Client{} = client, input, options \\ []) do
Request.request_post(client, metadata(), "CreateApplication", input, options)
end
@doc """
This documentation is for version 1 of the Amazon Kinesis Data Analytics API,
which only supports SQL applications.
Version 2 of the API supports SQL and Java applications. For more information
about version 2, see [Amazon Kinesis Data Analytics API V2 Documentation](/kinesisanalytics/latest/apiv2/Welcome.html).
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.
"""
def delete_application(%Client{} = client, input, options \\ []) do
Request.request_post(client, metadata(), "DeleteApplication", input, options)
end
@doc """
This documentation is for version 1 of the Amazon Kinesis Data Analytics API,
which only supports SQL applications.
Version 2 of the API supports SQL and Java applications. For more information
about version 2, see [Amazon Kinesis Data Analytics API V2 Documentation](/kinesisanalytics/latest/apiv2/Welcome.html).
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](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/cloudwatch-logs.html).
"""
def delete_application_cloud_watch_logging_option(%Client{} = client, input, options \\ []) do
Request.request_post(
client,
metadata(),
"DeleteApplicationCloudWatchLoggingOption",
input,
options
)
end
@doc """
This documentation is for version 1 of the Amazon Kinesis Data Analytics API,
which only supports SQL applications.
Version 2 of the API supports SQL and Java applications. For more information
about version 2, see [Amazon Kinesis Data Analytics API V2 Documentation](/kinesisanalytics/latest/apiv2/Welcome.html).
Deletes an
[InputProcessingConfiguration](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/API_InputProcessingConfiguration.html)
from an input.
"""
def delete_application_input_processing_configuration(%Client{} = client, input, options \\ []) do
Request.request_post(
client,
metadata(),
"DeleteApplicationInputProcessingConfiguration",
input,
options
)
end
@doc """
This documentation is for version 1 of the Amazon Kinesis Data Analytics API,
which only supports SQL applications.
Version 2 of the API supports SQL and Java applications. For more information
about version 2, see [Amazon Kinesis Data Analytics API V2 Documentation](/kinesisanalytics/latest/apiv2/Welcome.html).
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.
"""
def delete_application_output(%Client{} = client, input, options \\ []) do
Request.request_post(client, metadata(), "DeleteApplicationOutput", input, options)
end
@doc """
This documentation is for version 1 of the Amazon Kinesis Data Analytics API,
which only supports SQL applications.
Version 2 of the API supports SQL and Java applications. For more information
about version 2, see [Amazon Kinesis Data Analytics API V2 Documentation](/kinesisanalytics/latest/apiv2/Welcome.html).
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](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/API_AddApplicationReferenceDataSource.html)
operation.
This operation requires permissions to perform the
`kinesisanalytics.DeleteApplicationReferenceDataSource` action.
"""
def delete_application_reference_data_source(%Client{} = client, input, options \\ []) do
Request.request_post(
client,
metadata(),
"DeleteApplicationReferenceDataSource",
input,
options
)
end
@doc """
This documentation is for version 1 of the Amazon Kinesis Data Analytics API,
which only supports SQL applications.
Version 2 of the API supports SQL and Java applications. For more information
about version 2, see [Amazon Kinesis Data Analytics API V2 Documentation](/kinesisanalytics/latest/apiv2/Welcome.html).
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](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/API_ListApplications.html)
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`.
"""
def describe_application(%Client{} = client, input, options \\ []) do
Request.request_post(client, metadata(), "DescribeApplication", input, options)
end
@doc """
This documentation is for version 1 of the Amazon Kinesis Data Analytics API,
which only supports SQL applications.
Version 2 of the API supports SQL and Java applications. For more information
about version 2, see [Amazon Kinesis Data Analytics API V2 Documentation](/kinesisanalytics/latest/apiv2/Welcome.html).
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](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-input.html).
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.
"""
def discover_input_schema(%Client{} = client, input, options \\ []) do
Request.request_post(client, metadata(), "DiscoverInputSchema", input, options)
end
@doc """
This documentation is for version 1 of the Amazon Kinesis Data Analytics API,
which only supports SQL applications.
Version 2 of the API supports SQL and Java applications. For more information
about version 2, see [Amazon Kinesis Data Analytics API V2 Documentation](/kinesisanalytics/latest/apiv2/Welcome.html).
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](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/API_DescribeApplication.html).
This operation requires permissions to perform the
`kinesisanalytics:ListApplications` action.
"""
def list_applications(%Client{} = client, input, options \\ []) do
Request.request_post(client, metadata(), "ListApplications", input, options)
end
@doc """
Retrieves the list of key-value tags assigned to the application.
For more information, see [Using Tagging](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-tagging.html).
"""
def list_tags_for_resource(%Client{} = client, input, options \\ []) do
Request.request_post(client, metadata(), "ListTagsForResource", input, options)
end
@doc """
This documentation is for version 1 of the Amazon Kinesis Data Analytics API,
which only supports SQL applications.
Version 2 of the API supports SQL and Java applications. For more information
about version 2, see [Amazon Kinesis Data Analytics API V2 Documentation](/kinesisanalytics/latest/apiv2/Welcome.html).
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](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/API_DescribeApplication.html) operation.
After you start the application, you can stop the application from processing
the input by calling the
[StopApplication](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/API_StopApplication.html)
operation.
This operation requires permissions to perform the
`kinesisanalytics:StartApplication` action.
"""
def start_application(%Client{} = client, input, options \\ []) do
Request.request_post(client, metadata(), "StartApplication", input, options)
end
@doc """
This documentation is for version 1 of the Amazon Kinesis Data Analytics API,
which only supports SQL applications.
Version 2 of the API supports SQL and Java applications. For more information
about version 2, see [Amazon Kinesis Data Analytics API V2 Documentation](/kinesisanalytics/latest/apiv2/Welcome.html).
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](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/API_DescribeApplication.html)
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.
"""
def stop_application(%Client{} = client, input, options \\ []) do
Request.request_post(client, metadata(), "StopApplication", input, options)
end
@doc """
Adds one or more key-value tags to a Kinesis 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/dev/how-tagging.html).
"""
def tag_resource(%Client{} = client, input, options \\ []) do
Request.request_post(client, metadata(), "TagResource", input, options)
end
@doc """
Removes one or more tags from a Kinesis Analytics application.
For more information, see [Using Tagging](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-tagging.html).
"""
def untag_resource(%Client{} = client, input, options \\ []) do
Request.request_post(client, metadata(), "UntagResource", input, options)
end
@doc """
This documentation is for version 1 of the Amazon Kinesis Data Analytics API,
which only supports SQL applications.
Version 2 of the API supports SQL and Java applications. For more information
about version 2, see [Amazon Kinesis Data Analytics API V2 Documentation](/kinesisanalytics/latest/apiv2/Welcome.html).
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.
"""
def update_application(%Client{} = client, input, options \\ []) do
Request.request_post(client, metadata(), "UpdateApplication", input, options)
end
end