aws-cdk-lib.aws_kinesisanalytics.CfnApplication

class CfnApplication (construct)

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.NETAmazon.CDK.AWS.KinesisAnalytics.CfnApplication
Gogithub.com/aws/aws-cdk-go/awscdk/v2/awskinesisanalytics#CfnApplication
Javasoftware.amazon.awscdk.services.kinesisanalytics.CfnApplication
Pythonaws_cdk.aws_kinesisanalytics.CfnApplication
TypeScript aws-cdk-lib » aws_kinesisanalytics » CfnApplication

Implements IConstruct, IDependable, IInspectable

A CloudFormation AWS::KinesisAnalytics::Application.

The AWS::KinesisAnalytics::Application resource creates an Amazon Kinesis Data Analytics application. For more information, see the Amazon Kinesis Data Analytics Developer Guide .

Example

// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import { aws_kinesisanalytics as kinesisanalytics } from 'aws-cdk-lib';
const cfnApplication = new kinesisanalytics.CfnApplication(this, 'MyCfnApplication', {
  inputs: [{
    inputSchema: {
      recordColumns: [{
        name: 'name',
        sqlType: 'sqlType',

        // the properties below are optional
        mapping: 'mapping',
      }],
      recordFormat: {
        recordFormatType: 'recordFormatType',

        // the properties below are optional
        mappingParameters: {
          csvMappingParameters: {
            recordColumnDelimiter: 'recordColumnDelimiter',
            recordRowDelimiter: 'recordRowDelimiter',
          },
          jsonMappingParameters: {
            recordRowPath: 'recordRowPath',
          },
        },
      },

      // the properties below are optional
      recordEncoding: 'recordEncoding',
    },
    namePrefix: 'namePrefix',

    // the properties below are optional
    inputParallelism: {
      count: 123,
    },
    inputProcessingConfiguration: {
      inputLambdaProcessor: {
        resourceArn: 'resourceArn',
        roleArn: 'roleArn',
      },
    },
    kinesisFirehoseInput: {
      resourceArn: 'resourceArn',
      roleArn: 'roleArn',
    },
    kinesisStreamsInput: {
      resourceArn: 'resourceArn',
      roleArn: 'roleArn',
    },
  }],

  // the properties below are optional
  applicationCode: 'applicationCode',
  applicationDescription: 'applicationDescription',
  applicationName: 'applicationName',
});

Initializer

new CfnApplication(scope: Construct, id: string, props: CfnApplicationProps)

Parameters

  • scope Construct — - scope in which this resource is defined.
  • id string — - scoped id of the resource.
  • props CfnApplicationProps — - resource properties.

Create a new AWS::KinesisAnalytics::Application.

Construct Props

NameTypeDescription
inputsIResolvable | IResolvable | InputProperty[]Use this parameter to configure the application input.
applicationCode?stringOne or more SQL statements that read input data, transform it, and generate output.
applicationDescription?stringSummary description of the application.
applicationName?stringName of your Amazon Kinesis Analytics application (for example, sample-app ).

inputs

Type: IResolvable | IResolvable | InputProperty[]

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.


applicationCode?

Type: string (optional)

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 .

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.


applicationDescription?

Type: string (optional)

Summary description of the application.


applicationName?

Type: string (optional)

Name of your Amazon Kinesis Analytics application (for example, sample-app ).

Properties

NameTypeDescription
cfnOptionsICfnResourceOptionsOptions for this resource, such as condition, update policy etc.
cfnProperties{ [string]: any }
cfnResourceTypestringAWS resource type.
creationStackstring[]
inputsIResolvable | IResolvable | InputProperty[]Use this parameter to configure the application input.
logicalIdstringThe logical ID for this CloudFormation stack element.
nodeNodeThe tree node.
refstringReturn a string that will be resolved to a CloudFormation { Ref } for this element.
stackStackThe stack in which this element is defined.
applicationCode?stringOne or more SQL statements that read input data, transform it, and generate output.
applicationDescription?stringSummary description of the application.
applicationName?stringName of your Amazon Kinesis Analytics application (for example, sample-app ).
static CFN_RESOURCE_TYPE_NAMEstringThe CloudFormation resource type name for this resource class.

cfnOptions

Type: ICfnResourceOptions

Options for this resource, such as condition, update policy etc.


cfnProperties

Type: { [string]: any }


cfnResourceType

Type: string

AWS resource type.


creationStack

Type: string[]


inputs

Type: IResolvable | IResolvable | InputProperty[]

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.


logicalId

Type: string

The logical ID for this CloudFormation stack element.

The logical ID of the element is calculated from the path of the resource node in the construct tree.

To override this value, use overrideLogicalId(newLogicalId).


node

Type: Node

The tree node.


ref

Type: string

Return a string that will be resolved to a CloudFormation { Ref } for this element.

If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through Lazy.any({ produce: resource.ref }).


stack

Type: Stack

The stack in which this element is defined.

CfnElements must be defined within a stack scope (directly or indirectly).


applicationCode?

Type: string (optional)

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 .

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.


applicationDescription?

Type: string (optional)

Summary description of the application.


applicationName?

Type: string (optional)

Name of your Amazon Kinesis Analytics application (for example, sample-app ).


static CFN_RESOURCE_TYPE_NAME

Type: string

The CloudFormation resource type name for this resource class.

Methods

NameDescription
addDeletionOverride(path)Syntactic sugar for addOverride(path, undefined).
addDependency(target)Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
addDependsOn(target)⚠️Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
addMetadata(key, value)Add a value to the CloudFormation Resource Metadata.
addOverride(path, value)Adds an override to the synthesized CloudFormation resource.
addPropertyDeletionOverride(propertyPath)Adds an override that deletes the value of a property from the resource definition.
addPropertyOverride(propertyPath, value)Adds an override to a resource property.
applyRemovalPolicy(policy?, options?)Sets the deletion policy of the resource based on the removal policy specified.
getAtt(attributeName, typeHint?)Returns a token for an runtime attribute of this resource.
getMetadata(key)Retrieve a value value from the CloudFormation Resource Metadata.
inspect(inspector)Examines the CloudFormation resource and discloses attributes.
obtainDependencies()Retrieves an array of resources this resource depends on.
obtainResourceDependencies()Get a shallow copy of dependencies between this resource and other resources in the same stack.
overrideLogicalId(newLogicalId)Overrides the auto-generated logical ID with a specific ID.
removeDependency(target)Indicates that this resource no longer depends on another resource.
replaceDependency(target, newTarget)Replaces one dependency with another.
toString()Returns a string representation of this construct.
protected renderProperties(props)

addDeletionOverride(path)

public addDeletionOverride(path: string): void

Parameters

  • path string — The path of the value to delete.

Syntactic sugar for addOverride(path, undefined).


addDependency(target)

public addDependency(target: CfnResource): void

Parameters

  • target CfnResource

Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.

This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.


addDependsOn(target)⚠️

public addDependsOn(target: CfnResource): void

⚠️ Deprecated: use addDependency

Parameters

  • target CfnResource

Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.


addMetadata(key, value)

public addMetadata(key: string, value: any): void

Parameters

  • key string
  • value any

Add a value to the CloudFormation Resource Metadata.

See also: [https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html

Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html

Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.)


addOverride(path, value)

public addOverride(path: string, value: any): void

Parameters

  • path string — - The path of the property, you can use dot notation to override values in complex types.
  • value any — - The value.

Adds an override to the synthesized CloudFormation resource.

To add a property override, either use addPropertyOverride or prefix path with "Properties." (i.e. Properties.TopicName).

If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.

To include a literal . in the property name, prefix with a \. In most programming languages you will need to write this as "\\." because the \ itself will need to be escaped.

For example,

cfnResource.addOverride('Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes', ['myattribute']);
cfnResource.addOverride('Properties.GlobalSecondaryIndexes.1.ProjectionType', 'INCLUDE');

would add the overrides

"Properties": {
  "GlobalSecondaryIndexes": [
    {
      "Projection": {
        "NonKeyAttributes": [ "myattribute" ]
        ...
      }
      ...
    },
    {
      "ProjectionType": "INCLUDE"
      ...
    },
  ]
  ...
}

The value argument to addOverride will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.


addPropertyDeletionOverride(propertyPath)

public addPropertyDeletionOverride(propertyPath: string): void

Parameters

  • propertyPath string — The path to the property.

Adds an override that deletes the value of a property from the resource definition.


addPropertyOverride(propertyPath, value)

public addPropertyOverride(propertyPath: string, value: any): void

Parameters

  • propertyPath string — The path of the property.
  • value any — The value.

Adds an override to a resource property.

Syntactic sugar for addOverride("Properties.<...>", value).


applyRemovalPolicy(policy?, options?)

public applyRemovalPolicy(policy?: RemovalPolicy, options?: RemovalPolicyOptions): void

Parameters

  • policy RemovalPolicy
  • options RemovalPolicyOptions

Sets the deletion policy of the resource based on the removal policy specified.

The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you've removed it from the CDK application or because you've made a change that requires the resource to be replaced.

The resource can be deleted (RemovalPolicy.DESTROY), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN). In some cases, a snapshot can be taken of the resource prior to deletion (RemovalPolicy.SNAPSHOT). A list of resources that support this policy can be found in the following link:

See also: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-attribute-deletionpolicy.html#aws-attribute-deletionpolicy-options


getAtt(attributeName, typeHint?)

public getAtt(attributeName: string, typeHint?: ResolutionTypeHint): Reference

Parameters

  • attributeName string — The name of the attribute.
  • typeHint ResolutionTypeHint

Returns

  • Reference

Returns a token for an runtime attribute of this resource.

Ideally, use generated attribute accessors (e.g. resource.arn), but this can be used for future compatibility in case there is no generated attribute.


getMetadata(key)

public getMetadata(key: string): any

Parameters

  • key string

Returns

  • any

Retrieve a value value from the CloudFormation Resource Metadata.

See also: [https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html

Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html

Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.)


inspect(inspector)

public inspect(inspector: TreeInspector): void

Parameters

  • inspector TreeInspector — - tree inspector to collect and process attributes.

Examines the CloudFormation resource and discloses attributes.


obtainDependencies()

public obtainDependencies(): Stack &#124; CfnResource[]

Returns

  • Stack | CfnResource[]

Retrieves an array of resources this resource depends on.

This assembles dependencies on resources across stacks (including nested stacks) automatically.


obtainResourceDependencies()

public obtainResourceDependencies(): CfnResource[]

Returns

  • CfnResource[]

Get a shallow copy of dependencies between this resource and other resources in the same stack.


overrideLogicalId(newLogicalId)

public overrideLogicalId(newLogicalId: string): void

Parameters

  • newLogicalId string — The new logical ID to use for this stack element.

Overrides the auto-generated logical ID with a specific ID.


removeDependency(target)

public removeDependency(target: CfnResource): void

Parameters

  • target CfnResource

Indicates that this resource no longer depends on another resource.

This can be used for resources across stacks (including nested stacks) and the dependency will automatically be removed from the relevant scope.


replaceDependency(target, newTarget)

public replaceDependency(target: CfnResource, newTarget: CfnResource): void

Parameters

  • target CfnResource — The dependency to replace.
  • newTarget CfnResource — The new dependency to add.

Replaces one dependency with another.


toString()

public toString(): string

Returns

  • string

Returns a string representation of this construct.


protected renderProperties(props)

protected renderProperties(props: { [string]: any }): { [string]: any }

Parameters

  • props { [string]: any }

Returns

  • { [string]: any }