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api_op_CreateApplication.go
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api_op_CreateApplication.go
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// Code generated by private/model/cli/gen-api/main.go. DO NOT EDIT.
package kinesisanalytics
import (
"context"
"fmt"
"github.com/aws/aws-sdk-go-v2/aws"
"github.com/aws/aws-sdk-go-v2/internal/awsutil"
)
// TBD
type CreateApplicationInput struct {
_ struct{} `type:"structure"`
// 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 (https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-app-code.html).
//
// 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.
ApplicationCode *string `type:"string"`
// Summary description of the application.
ApplicationDescription *string `type:"string"`
// Name of your Amazon Kinesis Analytics application (for example, sample-app).
//
// ApplicationName is a required field
ApplicationName *string `min:"1" type:"string" required:"true"`
// Use this parameter to configure a CloudWatch log stream to monitor application
// configuration errors. For more information, see Working with Amazon CloudWatch
// Logs (https://docs.aws.amazon.com/kinesisanalytics/latest/dev/cloudwatch-logs.html).
CloudWatchLoggingOptions []CloudWatchLoggingOption `type:"list"`
// 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.
Inputs []Input `type:"list"`
// 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.
Outputs []Output `type:"list"`
// A list of one or more tags to assign to the application. A tag is a key-value
// pair that identifies an 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).
Tags []Tag `min:"1" type:"list"`
}
// String returns the string representation
func (s CreateApplicationInput) String() string {
return awsutil.Prettify(s)
}
// Validate inspects the fields of the type to determine if they are valid.
func (s *CreateApplicationInput) Validate() error {
invalidParams := aws.ErrInvalidParams{Context: "CreateApplicationInput"}
if s.ApplicationName == nil {
invalidParams.Add(aws.NewErrParamRequired("ApplicationName"))
}
if s.ApplicationName != nil && len(*s.ApplicationName) < 1 {
invalidParams.Add(aws.NewErrParamMinLen("ApplicationName", 1))
}
if s.Tags != nil && len(s.Tags) < 1 {
invalidParams.Add(aws.NewErrParamMinLen("Tags", 1))
}
if s.CloudWatchLoggingOptions != nil {
for i, v := range s.CloudWatchLoggingOptions {
if err := v.Validate(); err != nil {
invalidParams.AddNested(fmt.Sprintf("%s[%v]", "CloudWatchLoggingOptions", i), err.(aws.ErrInvalidParams))
}
}
}
if s.Inputs != nil {
for i, v := range s.Inputs {
if err := v.Validate(); err != nil {
invalidParams.AddNested(fmt.Sprintf("%s[%v]", "Inputs", i), err.(aws.ErrInvalidParams))
}
}
}
if s.Outputs != nil {
for i, v := range s.Outputs {
if err := v.Validate(); err != nil {
invalidParams.AddNested(fmt.Sprintf("%s[%v]", "Outputs", i), err.(aws.ErrInvalidParams))
}
}
}
if s.Tags != nil {
for i, v := range s.Tags {
if err := v.Validate(); err != nil {
invalidParams.AddNested(fmt.Sprintf("%s[%v]", "Tags", i), err.(aws.ErrInvalidParams))
}
}
}
if invalidParams.Len() > 0 {
return invalidParams
}
return nil
}
// TBD
type CreateApplicationOutput struct {
_ struct{} `type:"structure"`
// In response to your CreateApplication request, Amazon Kinesis Analytics returns
// a response with a summary of the application it created, including the application
// Amazon Resource Name (ARN), name, and status.
//
// ApplicationSummary is a required field
ApplicationSummary *ApplicationSummary `type:"structure" required:"true"`
}
// String returns the string representation
func (s CreateApplicationOutput) String() string {
return awsutil.Prettify(s)
}
const opCreateApplication = "CreateApplication"
// CreateApplicationRequest returns a request value for making API operation for
// Amazon Kinesis Analytics.
//
//
// 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).
//
// // Example sending a request using CreateApplicationRequest.
// req := client.CreateApplicationRequest(params)
// resp, err := req.Send(context.TODO())
// if err == nil {
// fmt.Println(resp)
// }
//
// Please also see https://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/CreateApplication
func (c *Client) CreateApplicationRequest(input *CreateApplicationInput) CreateApplicationRequest {
op := &aws.Operation{
Name: opCreateApplication,
HTTPMethod: "POST",
HTTPPath: "/",
}
if input == nil {
input = &CreateApplicationInput{}
}
req := c.newRequest(op, input, &CreateApplicationOutput{})
return CreateApplicationRequest{Request: req, Input: input, Copy: c.CreateApplicationRequest}
}
// CreateApplicationRequest is the request type for the
// CreateApplication API operation.
type CreateApplicationRequest struct {
*aws.Request
Input *CreateApplicationInput
Copy func(*CreateApplicationInput) CreateApplicationRequest
}
// Send marshals and sends the CreateApplication API request.
func (r CreateApplicationRequest) Send(ctx context.Context) (*CreateApplicationResponse, error) {
r.Request.SetContext(ctx)
err := r.Request.Send()
if err != nil {
return nil, err
}
resp := &CreateApplicationResponse{
CreateApplicationOutput: r.Request.Data.(*CreateApplicationOutput),
response: &aws.Response{Request: r.Request},
}
return resp, nil
}
// CreateApplicationResponse is the response type for the
// CreateApplication API operation.
type CreateApplicationResponse struct {
*CreateApplicationOutput
response *aws.Response
}
// SDKResponseMetdata returns the response metadata for the
// CreateApplication request.
func (r *CreateApplicationResponse) SDKResponseMetdata() *aws.Response {
return r.response
}