awskinesisanalyticsv2

package
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 Go to latest Published: Feb 19, 2022 License: Apache-2.0 Imports: 6 Imported by: 0

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Index

Constants

This section is empty.

Variables

This section is empty.

Functions

func CfnApplicationCloudWatchLoggingOption_CFN_RESOURCE_TYPE_NAME 

func CfnApplicationCloudWatchLoggingOption_CFN_RESOURCE_TYPE_NAME() *string

func CfnApplicationCloudWatchLoggingOption_IsCfnElement 

func CfnApplicationCloudWatchLoggingOption_IsCfnElement(x interface{}) *bool

Returns `true` if a construct is a stack element (i.e. part of the synthesized cloudformation template).

Uses duck-typing instead of `instanceof` to allow stack elements from different versions of this library to be included in the same stack.

Returns: The construct as a stack element or undefined if it is not a stack element.

func CfnApplicationCloudWatchLoggingOption_IsCfnResource 

func CfnApplicationCloudWatchLoggingOption_IsCfnResource(construct constructs.IConstruct) *bool

Check whether the given construct is a CfnResource.

func CfnApplicationCloudWatchLoggingOption_IsConstruct 

func CfnApplicationCloudWatchLoggingOption_IsConstruct(x interface{}) *bool

Checks if `x` is a construct.

Returns: true if `x` is an object created from a class which extends `Construct`. Deprecated: use `x instanceof Construct` instead

func CfnApplicationOutput_CFN_RESOURCE_TYPE_NAME 

func CfnApplicationOutput_CFN_RESOURCE_TYPE_NAME() *string

func CfnApplicationOutput_IsCfnElement 

func CfnApplicationOutput_IsCfnElement(x interface{}) *bool

Returns `true` if a construct is a stack element (i.e. part of the synthesized cloudformation template).

Uses duck-typing instead of `instanceof` to allow stack elements from different versions of this library to be included in the same stack.

Returns: The construct as a stack element or undefined if it is not a stack element.

func CfnApplicationOutput_IsCfnResource 

func CfnApplicationOutput_IsCfnResource(construct constructs.IConstruct) *bool

Check whether the given construct is a CfnResource.

func CfnApplicationOutput_IsConstruct 

func CfnApplicationOutput_IsConstruct(x interface{}) *bool

Checks if `x` is a construct.

Returns: true if `x` is an object created from a class which extends `Construct`. Deprecated: use `x instanceof Construct` instead

func CfnApplicationReferenceDataSource_CFN_RESOURCE_TYPE_NAME 

func CfnApplicationReferenceDataSource_CFN_RESOURCE_TYPE_NAME() *string

func CfnApplicationReferenceDataSource_IsCfnElement 

func CfnApplicationReferenceDataSource_IsCfnElement(x interface{}) *bool

Returns `true` if a construct is a stack element (i.e. part of the synthesized cloudformation template).

Uses duck-typing instead of `instanceof` to allow stack elements from different versions of this library to be included in the same stack.

Returns: The construct as a stack element or undefined if it is not a stack element.

func CfnApplicationReferenceDataSource_IsCfnResource 

func CfnApplicationReferenceDataSource_IsCfnResource(construct constructs.IConstruct) *bool

Check whether the given construct is a CfnResource.

func CfnApplicationReferenceDataSource_IsConstruct 

func CfnApplicationReferenceDataSource_IsConstruct(x interface{}) *bool

Checks if `x` is a construct.

Returns: true if `x` is an object created from a class which extends `Construct`. Deprecated: use `x instanceof Construct` instead

func CfnApplication_CFN_RESOURCE_TYPE_NAME 

func CfnApplication_CFN_RESOURCE_TYPE_NAME() *string

func CfnApplication_IsCfnElement 

func CfnApplication_IsCfnElement(x interface{}) *bool

Returns `true` if a construct is a stack element (i.e. part of the synthesized cloudformation template).

Uses duck-typing instead of `instanceof` to allow stack elements from different versions of this library to be included in the same stack.

Returns: The construct as a stack element or undefined if it is not a stack element.

func CfnApplication_IsCfnResource 

func CfnApplication_IsCfnResource(construct constructs.IConstruct) *bool

Check whether the given construct is a CfnResource.

func CfnApplication_IsConstruct 

func CfnApplication_IsConstruct(x interface{}) *bool

Checks if `x` is a construct.

Returns: true if `x` is an object created from a class which extends `Construct`. Deprecated: use `x instanceof Construct` instead

func NewCfnApplicationCloudWatchLoggingOption_Override 

func NewCfnApplicationCloudWatchLoggingOption_Override(c CfnApplicationCloudWatchLoggingOption, scope constructs.Construct, id *string, props *CfnApplicationCloudWatchLoggingOptionProps)

Create a new `AWS::KinesisAnalyticsV2::ApplicationCloudWatchLoggingOption`.

func NewCfnApplicationOutput_Override 

func NewCfnApplicationOutput_Override(c CfnApplicationOutput, scope constructs.Construct, id *string, props *CfnApplicationOutputProps)

Create a new `AWS::KinesisAnalyticsV2::ApplicationOutput`.

func NewCfnApplicationReferenceDataSource_Override 

func NewCfnApplicationReferenceDataSource_Override(c CfnApplicationReferenceDataSource, scope constructs.Construct, id *string, props *CfnApplicationReferenceDataSourceProps)

Create a new `AWS::KinesisAnalyticsV2::ApplicationReferenceDataSource`.

func NewCfnApplication_Override 

func NewCfnApplication_Override(c CfnApplication, scope constructs.Construct, id *string, props *CfnApplicationProps)

Create a new `AWS::KinesisAnalyticsV2::Application`.

Types

type CfnApplication 

type CfnApplication interface {
	awscdk.CfnResource
	awscdk.IInspectable
	ApplicationConfiguration() interface{}
	SetApplicationConfiguration(val interface{})
	ApplicationDescription() *string
	SetApplicationDescription(val *string)
	ApplicationMode() *string
	SetApplicationMode(val *string)
	ApplicationName() *string
	SetApplicationName(val *string)
	CfnOptions() awscdk.ICfnResourceOptions
	CfnProperties() *map[string]interface{}
	CfnResourceType() *string
	CreationStack() *[]*string
	LogicalId() *string
	Node() constructs.Node
	Ref() *string
	RuntimeEnvironment() *string
	SetRuntimeEnvironment(val *string)
	ServiceExecutionRole() *string
	SetServiceExecutionRole(val *string)
	Stack() awscdk.Stack
	Tags() awscdk.TagManager
	UpdatedProperites() *map[string]interface{}
	AddDeletionOverride(path *string)
	AddDependsOn(target awscdk.CfnResource)
	AddMetadata(key *string, value interface{})
	AddOverride(path *string, value interface{})
	AddPropertyDeletionOverride(propertyPath *string)
	AddPropertyOverride(propertyPath *string, value interface{})
	ApplyRemovalPolicy(policy awscdk.RemovalPolicy, options *awscdk.RemovalPolicyOptions)
	GetAtt(attributeName *string) awscdk.Reference
	GetMetadata(key *string) interface{}
	Inspect(inspector awscdk.TreeInspector)
	OverrideLogicalId(newLogicalId *string)
	RenderProperties(props *map[string]interface{}) *map[string]interface{}
	ShouldSynthesize() *bool
	ToString() *string
	ValidateProperties(_properties interface{})
}

A CloudFormation `AWS::KinesisAnalyticsV2::Application`.

Creates an Amazon Kinesis Data Analytics application. For information about creating a Kinesis Data Analytics application, see [Creating an Application](https://docs.aws.amazon.com/kinesisanalytics/latest/java/getting-started.html) .

TODO: EXAMPLE

func NewCfnApplication 

func NewCfnApplication(scope constructs.Construct, id *string, props *CfnApplicationProps) CfnApplication

Create a new `AWS::KinesisAnalyticsV2::Application`.

type CfnApplicationCloudWatchLoggingOption 

type CfnApplicationCloudWatchLoggingOption interface {
	awscdk.CfnResource
	awscdk.IInspectable
	ApplicationName() *string
	SetApplicationName(val *string)
	CfnOptions() awscdk.ICfnResourceOptions
	CfnProperties() *map[string]interface{}
	CfnResourceType() *string
	CloudWatchLoggingOption() interface{}
	SetCloudWatchLoggingOption(val interface{})
	CreationStack() *[]*string
	LogicalId() *string
	Node() constructs.Node
	Ref() *string
	Stack() awscdk.Stack
	UpdatedProperites() *map[string]interface{}
	AddDeletionOverride(path *string)
	AddDependsOn(target awscdk.CfnResource)
	AddMetadata(key *string, value interface{})
	AddOverride(path *string, value interface{})
	AddPropertyDeletionOverride(propertyPath *string)
	AddPropertyOverride(propertyPath *string, value interface{})
	ApplyRemovalPolicy(policy awscdk.RemovalPolicy, options *awscdk.RemovalPolicyOptions)
	GetAtt(attributeName *string) awscdk.Reference
	GetMetadata(key *string) interface{}
	Inspect(inspector awscdk.TreeInspector)
	OverrideLogicalId(newLogicalId *string)
	RenderProperties(props *map[string]interface{}) *map[string]interface{}
	ShouldSynthesize() *bool
	ToString() *string
	ValidateProperties(_properties interface{})
}

A CloudFormation `AWS::KinesisAnalyticsV2::ApplicationCloudWatchLoggingOption`.

Adds an Amazon CloudWatch log stream to monitor application configuration errors.

TODO: EXAMPLE

func NewCfnApplicationCloudWatchLoggingOption 

func NewCfnApplicationCloudWatchLoggingOption(scope constructs.Construct, id *string, props *CfnApplicationCloudWatchLoggingOptionProps) CfnApplicationCloudWatchLoggingOption

Create a new `AWS::KinesisAnalyticsV2::ApplicationCloudWatchLoggingOption`.

type CfnApplicationCloudWatchLoggingOptionProps 

type CfnApplicationCloudWatchLoggingOptionProps struct {
	// The name of the application.
	ApplicationName *string `json:"applicationName" yaml:"applicationName"`
	// Provides a description of Amazon CloudWatch logging options, including the log stream Amazon Resource Name (ARN).
	CloudWatchLoggingOption interface{} `json:"cloudWatchLoggingOption" yaml:"cloudWatchLoggingOption"`
}

Properties for defining a `CfnApplicationCloudWatchLoggingOption`.

TODO: EXAMPLE

type CfnApplicationCloudWatchLoggingOption_CloudWatchLoggingOptionProperty 

type CfnApplicationCloudWatchLoggingOption_CloudWatchLoggingOptionProperty struct {
	// The ARN of the CloudWatch log to receive application messages.
	LogStreamArn *string `json:"logStreamArn" yaml:"logStreamArn"`
}

Provides a description of Amazon CloudWatch logging options, including the log stream Amazon Resource Name (ARN).

TODO: EXAMPLE

type CfnApplicationOutput 

type CfnApplicationOutput interface {
	awscdk.CfnResource
	awscdk.IInspectable
	ApplicationName() *string
	SetApplicationName(val *string)
	CfnOptions() awscdk.ICfnResourceOptions
	CfnProperties() *map[string]interface{}
	CfnResourceType() *string
	CreationStack() *[]*string
	LogicalId() *string
	Node() constructs.Node
	Output() interface{}
	SetOutput(val interface{})
	Ref() *string
	Stack() awscdk.Stack
	UpdatedProperites() *map[string]interface{}
	AddDeletionOverride(path *string)
	AddDependsOn(target awscdk.CfnResource)
	AddMetadata(key *string, value interface{})
	AddOverride(path *string, value interface{})
	AddPropertyDeletionOverride(propertyPath *string)
	AddPropertyOverride(propertyPath *string, value interface{})
	ApplyRemovalPolicy(policy awscdk.RemovalPolicy, options *awscdk.RemovalPolicyOptions)
	GetAtt(attributeName *string) awscdk.Reference
	GetMetadata(key *string) interface{}
	Inspect(inspector awscdk.TreeInspector)
	OverrideLogicalId(newLogicalId *string)
	RenderProperties(props *map[string]interface{}) *map[string]interface{}
	ShouldSynthesize() *bool
	ToString() *string
	ValidateProperties(_properties interface{})
}

A CloudFormation `AWS::KinesisAnalyticsV2::ApplicationOutput`.

Adds an external destination to your SQL-based Amazon Kinesis Data Analytics application.

If you want Kinesis Data Analytics to deliver data from an in-application stream within your application to an external destination (such as an Kinesis data stream, a Kinesis Data Firehose delivery stream, or an Amazon Lambda function), you add the relevant configuration to your application using this operation. You can configure one or more outputs for your application. Each output configuration maps an in-application stream and an external destination.

You can use one of the output configurations to deliver data from your in-application error stream to an external destination so that you can analyze the errors.

Any configuration update, including adding a streaming source using this operation, results in a new version of the application. You can use the [DescribeApplication](https://docs.aws.amazon.com/kinesisanalytics/latest/apiv2/API_DescribeApplication.html) operation to find the current application version.

TODO: EXAMPLE

func NewCfnApplicationOutput 

func NewCfnApplicationOutput(scope constructs.Construct, id *string, props *CfnApplicationOutputProps) CfnApplicationOutput

Create a new `AWS::KinesisAnalyticsV2::ApplicationOutput`.

type CfnApplicationOutputProps 

type CfnApplicationOutputProps struct {
	// The name of the application.
	ApplicationName *string `json:"applicationName" yaml:"applicationName"`
	// Describes a SQL-based Kinesis Data Analytics application's output configuration, in which you identify an in-application stream and a destination where you want the in-application stream data to be written.
	//
	// The destination can be a Kinesis data stream or a Kinesis Data Firehose delivery stream.
	Output interface{} `json:"output" yaml:"output"`
}

Properties for defining a `CfnApplicationOutput`.

TODO: EXAMPLE

type CfnApplicationOutput_DestinationSchemaProperty 

type CfnApplicationOutput_DestinationSchemaProperty struct {
	// Specifies the format of the records on the output stream.
	RecordFormatType *string `json:"recordFormatType" yaml:"recordFormatType"`
}

Describes the data format when records are written to the destination in a SQL-based Kinesis Data Analytics application.

TODO: EXAMPLE

type CfnApplicationOutput_KinesisFirehoseOutputProperty 

type CfnApplicationOutput_KinesisFirehoseOutputProperty struct {
	// The ARN of the destination delivery stream to write to.
	ResourceArn *string `json:"resourceArn" yaml:"resourceArn"`
}

For a SQL-based Kinesis Data Analytics application, when configuring application output, identifies a Kinesis Data Firehose delivery stream as the destination.

You provide the stream Amazon Resource Name (ARN) of the delivery stream.

TODO: EXAMPLE

type CfnApplicationOutput_KinesisStreamsOutputProperty 

type CfnApplicationOutput_KinesisStreamsOutputProperty struct {
	// The ARN of the destination Kinesis data stream to write to.
	ResourceArn *string `json:"resourceArn" yaml:"resourceArn"`
}

When you configure a SQL-based Kinesis Data Analytics application's output, identifies a Kinesis data stream as the destination.

You provide the stream Amazon Resource Name (ARN).

TODO: EXAMPLE

type CfnApplicationOutput_LambdaOutputProperty 

type CfnApplicationOutput_LambdaOutputProperty struct {
	// The Amazon Resource Name (ARN) of the destination Lambda function to write to.
	//
	// > To specify an earlier version of the Lambda function than the latest, include the Lambda function version in the Lambda function ARN. For more information about Lambda ARNs, see [Example ARNs: Amazon Lambda](https://docs.aws.amazon.com/general/latest/gr/aws-arns-and-namespaces.html#arn-syntax-lambda)
	ResourceArn *string `json:"resourceArn" yaml:"resourceArn"`
}

When you configure a SQL-based Kinesis Data Analytics application's output, identifies an Amazon Lambda function as the destination.

You provide the function Amazon Resource Name (ARN) of the Lambda function.

TODO: EXAMPLE

type CfnApplicationOutput_OutputProperty 

type CfnApplicationOutput_OutputProperty struct {
	// Describes the data format when records are written to the destination.
	DestinationSchema interface{} `json:"destinationSchema" yaml:"destinationSchema"`
	// Identifies a Kinesis Data Firehose delivery stream as the destination.
	KinesisFirehoseOutput interface{} `json:"kinesisFirehoseOutput" yaml:"kinesisFirehoseOutput"`
	// Identifies a Kinesis data stream as the destination.
	KinesisStreamsOutput interface{} `json:"kinesisStreamsOutput" yaml:"kinesisStreamsOutput"`
	// Identifies an Amazon Lambda function as the destination.
	LambdaOutput interface{} `json:"lambdaOutput" yaml:"lambdaOutput"`
	// The name of the in-application stream.
	Name *string `json:"name" yaml:"name"`
}

Describes a SQL-based Kinesis Data Analytics application's output configuration, in which you identify an in-application stream and a destination where you want the in-application stream data to be written.

The destination can be a Kinesis data stream or a Kinesis Data Firehose delivery stream.

TODO: EXAMPLE

type CfnApplicationProps 

type CfnApplicationProps struct {
	// The runtime environment for the application.
	RuntimeEnvironment *string `json:"runtimeEnvironment" yaml:"runtimeEnvironment"`
	// Specifies the IAM role that the application uses to access external resources.
	ServiceExecutionRole *string `json:"serviceExecutionRole" yaml:"serviceExecutionRole"`
	// Use this parameter to configure the application.
	ApplicationConfiguration interface{} `json:"applicationConfiguration" yaml:"applicationConfiguration"`
	// The description of the application.
	ApplicationDescription *string `json:"applicationDescription" yaml:"applicationDescription"`
	// To create a Kinesis Data Analytics Studio notebook, you must set the mode to `INTERACTIVE` .
	//
	// However, for a Kinesis Data Analytics for Apache Flink application, the mode is optional.
	ApplicationMode *string `json:"applicationMode" yaml:"applicationMode"`
	// The name of the application.
	ApplicationName *string `json:"applicationName" yaml:"applicationName"`
	// 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.
	Tags *[]*awscdk.CfnTag `json:"tags" yaml:"tags"`
}

Properties for defining a `CfnApplication`.

TODO: EXAMPLE

type CfnApplicationReferenceDataSource 

type CfnApplicationReferenceDataSource interface {
	awscdk.CfnResource
	awscdk.IInspectable
	ApplicationName() *string
	SetApplicationName(val *string)
	CfnOptions() awscdk.ICfnResourceOptions
	CfnProperties() *map[string]interface{}
	CfnResourceType() *string
	CreationStack() *[]*string
	LogicalId() *string
	Node() constructs.Node
	Ref() *string
	ReferenceDataSource() interface{}
	SetReferenceDataSource(val interface{})
	Stack() awscdk.Stack
	UpdatedProperites() *map[string]interface{}
	AddDeletionOverride(path *string)
	AddDependsOn(target awscdk.CfnResource)
	AddMetadata(key *string, value interface{})
	AddOverride(path *string, value interface{})
	AddPropertyDeletionOverride(propertyPath *string)
	AddPropertyOverride(propertyPath *string, value interface{})
	ApplyRemovalPolicy(policy awscdk.RemovalPolicy, options *awscdk.RemovalPolicyOptions)
	GetAtt(attributeName *string) awscdk.Reference
	GetMetadata(key *string) interface{}
	Inspect(inspector awscdk.TreeInspector)
	OverrideLogicalId(newLogicalId *string)
	RenderProperties(props *map[string]interface{}) *map[string]interface{}
	ShouldSynthesize() *bool
	ToString() *string
	ValidateProperties(_properties interface{})
}

A CloudFormation `AWS::KinesisAnalyticsV2::ApplicationReferenceDataSource`.

Adds a reference data source to an existing SQL-based Kinesis Data Analytics application.

Kinesis Data Analytics reads reference data (that is, an Amazon S3 object) and creates an in-application table within your application. In the request, you provide the source (S3 bucket name and object key name), name of the in-application table to create, and the necessary mapping information that describes how data in an Amazon S3 object maps to columns in the resulting in-application table.

TODO: EXAMPLE

func NewCfnApplicationReferenceDataSource 

func NewCfnApplicationReferenceDataSource(scope constructs.Construct, id *string, props *CfnApplicationReferenceDataSourceProps) CfnApplicationReferenceDataSource

Create a new `AWS::KinesisAnalyticsV2::ApplicationReferenceDataSource`.

type CfnApplicationReferenceDataSourceProps 

type CfnApplicationReferenceDataSourceProps struct {
	// The name of the application.
	ApplicationName *string `json:"applicationName" yaml:"applicationName"`
	// For a SQL-based Kinesis Data Analytics application, describes the reference data source by providing the source information (Amazon S3 bucket name and object key name), the resulting in-application table name that is created, and the necessary schema to map the data elements in the Amazon S3 object to the in-application table.
	ReferenceDataSource interface{} `json:"referenceDataSource" yaml:"referenceDataSource"`
}

Properties for defining a `CfnApplicationReferenceDataSource`.

TODO: EXAMPLE

type CfnApplicationReferenceDataSource_CSVMappingParametersProperty 

type CfnApplicationReferenceDataSource_CSVMappingParametersProperty struct {
	// The column delimiter.
	//
	// For example, in a CSV format, a comma (",") is the typical column delimiter.
	RecordColumnDelimiter *string `json:"recordColumnDelimiter" yaml:"recordColumnDelimiter"`
	// The row delimiter.
	//
	// For example, in a CSV format, *'\n'* is the typical row delimiter.
	RecordRowDelimiter *string `json:"recordRowDelimiter" yaml:"recordRowDelimiter"`
}

For a SQL-based Kinesis Data Analytics application, provides additional mapping information when the record format uses delimiters, such as CSV.

For example, the following sample records use CSV format, where the records use the *'\n'* as the row delimiter and a comma (",") as the column delimiter:

`"name1", "address1"`

`"name2", "address2"`

TODO: EXAMPLE

type CfnApplicationReferenceDataSource_JSONMappingParametersProperty 

type CfnApplicationReferenceDataSource_JSONMappingParametersProperty struct {
	// The path to the top-level parent that contains the records.
	RecordRowPath *string `json:"recordRowPath" yaml:"recordRowPath"`
}

For a SQL-based Kinesis Data Analytics application, provides additional mapping information when JSON is the record format on the streaming source.

TODO: EXAMPLE

type CfnApplicationReferenceDataSource_MappingParametersProperty 

type CfnApplicationReferenceDataSource_MappingParametersProperty struct {
	// Provides additional mapping information when the record format uses delimiters (for example, CSV).
	CsvMappingParameters interface{} `json:"csvMappingParameters" yaml:"csvMappingParameters"`
	// Provides additional mapping information when JSON is the record format on the streaming source.
	JsonMappingParameters interface{} `json:"jsonMappingParameters" yaml:"jsonMappingParameters"`
}

When you configure a SQL-based Kinesis Data Analytics application's input at the time of creating or updating an application, provides additional mapping information specific to the record format (such as JSON, CSV, or record fields delimited by some delimiter) on the streaming source.

TODO: EXAMPLE

type CfnApplicationReferenceDataSource_RecordColumnProperty 

type CfnApplicationReferenceDataSource_RecordColumnProperty struct {
	// The name of the column that is created in the in-application input stream or reference table.
	Name *string `json:"name" yaml:"name"`
	// The type of column created in the in-application input stream or reference table.
	SqlType *string `json:"sqlType" yaml:"sqlType"`
	// A reference to the data element in the streaming input or the reference data source.
	Mapping *string `json:"mapping" yaml:"mapping"`
}

For a SQL-based Kinesis Data Analytics application, describes the mapping of each data element in the streaming source to the corresponding column in the in-application stream.

Also used to describe the format of the reference data source.

TODO: EXAMPLE

type CfnApplicationReferenceDataSource_RecordFormatProperty 

type CfnApplicationReferenceDataSource_RecordFormatProperty struct {
	// The type of record format.
	RecordFormatType *string `json:"recordFormatType" yaml:"recordFormatType"`
	// When you configure application input at the time of creating or updating an application, provides additional mapping information specific to the record format (such as JSON, CSV, or record fields delimited by some delimiter) on the streaming source.
	MappingParameters interface{} `json:"mappingParameters" yaml:"mappingParameters"`
}

For a SQL-based Kinesis Data Analytics application, describes the record format and relevant mapping information that should be applied to schematize the records on the stream.

TODO: EXAMPLE

type CfnApplicationReferenceDataSource_ReferenceDataSourceProperty 

type CfnApplicationReferenceDataSource_ReferenceDataSourceProperty struct {
	// Describes the format of the data in the streaming source, and how each data element maps to corresponding columns created in the in-application stream.
	ReferenceSchema interface{} `json:"referenceSchema" yaml:"referenceSchema"`
	// Identifies the S3 bucket and object that contains the reference data.
	//
	// A Kinesis Data Analytics application loads reference data only once. If the data changes, you call the [UpdateApplication](https://docs.aws.amazon.com/kinesisanalytics/latest/apiv2/API_UpdateApplication.html) operation to trigger reloading of data into your application.
	S3ReferenceDataSource interface{} `json:"s3ReferenceDataSource" yaml:"s3ReferenceDataSource"`
	// The name of the in-application table to create.
	TableName *string `json:"tableName" yaml:"tableName"`
}

For a SQL-based Kinesis Data Analytics application, describes the reference data source by providing the source information (Amazon S3 bucket name and object key name), the resulting in-application table name that is created, and the necessary schema to map the data elements in the Amazon S3 object to the in-application table.

TODO: EXAMPLE

type CfnApplicationReferenceDataSource_ReferenceSchemaProperty 

type CfnApplicationReferenceDataSource_ReferenceSchemaProperty struct {
	// A list of `RecordColumn` objects.
	RecordColumns interface{} `json:"recordColumns" yaml:"recordColumns"`
	// Specifies the format of the records on the streaming source.
	RecordFormat interface{} `json:"recordFormat" yaml:"recordFormat"`
	// Specifies the encoding of the records in the streaming source.
	//
	// For example, UTF-8.
	RecordEncoding *string `json:"recordEncoding" yaml:"recordEncoding"`
}

For a SQL-based Kinesis Data Analytics application, describes the format of the data in the streaming source, and how each data element maps to corresponding columns created in the in-application stream.

TODO: EXAMPLE

type CfnApplicationReferenceDataSource_S3ReferenceDataSourceProperty 

type CfnApplicationReferenceDataSource_S3ReferenceDataSourceProperty struct {
	// The Amazon Resource Name (ARN) of the S3 bucket.
	BucketArn *string `json:"bucketArn" yaml:"bucketArn"`
	// The object key name containing the reference data.
	FileKey *string `json:"fileKey" yaml:"fileKey"`
}

For an SQL-based Amazon Kinesis Data Analytics application, identifies the Amazon S3 bucket and object that contains the reference data.

A Kinesis Data Analytics application loads reference data only once. If the data changes, you call the [UpdateApplication](https://docs.aws.amazon.com/kinesisanalytics/latest/apiv2/API_UpdateApplication.html) operation to trigger reloading of data into your application.

TODO: EXAMPLE

type CfnApplication_ApplicationCodeConfigurationProperty 

type CfnApplication_ApplicationCodeConfigurationProperty struct {
	// The location and type of the application code.
	CodeContent interface{} `json:"codeContent" yaml:"codeContent"`
	// Specifies whether the code content is in text or zip format.
	CodeContentType *string `json:"codeContentType" yaml:"codeContentType"`
}

Describes code configuration for an application.

TODO: EXAMPLE

type CfnApplication_ApplicationConfigurationProperty 

type CfnApplication_ApplicationConfigurationProperty struct {
	// The code location and type parameters for a Flink-based Kinesis Data Analytics application.
	ApplicationCodeConfiguration interface{} `json:"applicationCodeConfiguration" yaml:"applicationCodeConfiguration"`
	// Describes whether snapshots are enabled for a Flink-based Kinesis Data Analytics application.
	ApplicationSnapshotConfiguration interface{} `json:"applicationSnapshotConfiguration" yaml:"applicationSnapshotConfiguration"`
	// Describes execution properties for a Flink-based Kinesis Data Analytics application.
	EnvironmentProperties interface{} `json:"environmentProperties" yaml:"environmentProperties"`
	// The creation and update parameters for a Flink-based Kinesis Data Analytics application.
	FlinkApplicationConfiguration interface{} `json:"flinkApplicationConfiguration" yaml:"flinkApplicationConfiguration"`
	// The creation and update parameters for a SQL-based Kinesis Data Analytics application.
	SqlApplicationConfiguration interface{} `json:"sqlApplicationConfiguration" yaml:"sqlApplicationConfiguration"`
	// The configuration parameters for a Kinesis Data Analytics Studio notebook.
	ZeppelinApplicationConfiguration interface{} `json:"zeppelinApplicationConfiguration" yaml:"zeppelinApplicationConfiguration"`
}

Specifies the creation parameters for a Kinesis Data Analytics application.

TODO: EXAMPLE

type CfnApplication_ApplicationSnapshotConfigurationProperty 

type CfnApplication_ApplicationSnapshotConfigurationProperty struct {
	// Describes whether snapshots are enabled for a Flink-based Kinesis Data Analytics application.
	SnapshotsEnabled interface{} `json:"snapshotsEnabled" yaml:"snapshotsEnabled"`
}

Describes whether snapshots are enabled for a Flink-based Kinesis Data Analytics application.

TODO: EXAMPLE

type CfnApplication_CSVMappingParametersProperty 

type CfnApplication_CSVMappingParametersProperty struct {
	// The column delimiter.
	//
	// For example, in a CSV format, a comma (",") is the typical column delimiter.
	RecordColumnDelimiter *string `json:"recordColumnDelimiter" yaml:"recordColumnDelimiter"`
	// The row delimiter.
	//
	// For example, in a CSV format, *'\n'* is the typical row delimiter.
	RecordRowDelimiter *string `json:"recordRowDelimiter" yaml:"recordRowDelimiter"`
}

For a SQL-based Kinesis Data Analytics application, provides additional mapping information when the record format uses delimiters, such as CSV.

For example, the following sample records use CSV format, where the records use the *'\n'* as the row delimiter and a comma (",") as the column delimiter:

`"name1", "address1"`

`"name2", "address2"`

TODO: EXAMPLE

type CfnApplication_CatalogConfigurationProperty 

type CfnApplication_CatalogConfigurationProperty struct {
	// The configuration parameters for the default Amazon Glue database.
	//
	// You use this database for Apache Flink SQL queries and table API transforms that you write in a Kinesis Data Analytics Studio notebook.
	GlueDataCatalogConfiguration interface{} `json:"glueDataCatalogConfiguration" yaml:"glueDataCatalogConfiguration"`
}

The configuration parameters for the default Amazon Glue database.

You use this database for SQL queries that you write in a Kinesis Data Analytics Studio notebook.

TODO: EXAMPLE

type CfnApplication_CheckpointConfigurationProperty 

type CfnApplication_CheckpointConfigurationProperty struct {
	// Describes whether the application uses Kinesis Data Analytics' default checkpointing behavior.
	//
	// You must set this property to `CUSTOM` in order to set the `CheckpointingEnabled` , `CheckpointInterval` , or `MinPauseBetweenCheckpoints` parameters.
	//
	// > If this value is set to `DEFAULT` , the application will use the following values, even if they are set to other values using APIs or application code:
	// >
	// > - *CheckpointingEnabled:* true
	// > - *CheckpointInterval:* 60000
	// > - *MinPauseBetweenCheckpoints:* 5000
	ConfigurationType *string `json:"configurationType" yaml:"configurationType"`
	// Describes whether checkpointing is enabled for a Flink-based Kinesis Data Analytics application.
	//
	// > If `CheckpointConfiguration.ConfigurationType` is `DEFAULT` , the application will use a `CheckpointingEnabled` value of `true` , even if this value is set to another value using this API or in application code.
	CheckpointingEnabled interface{} `json:"checkpointingEnabled" yaml:"checkpointingEnabled"`
	// Describes the interval in milliseconds between checkpoint operations.
	//
	// > If `CheckpointConfiguration.ConfigurationType` is `DEFAULT` , the application will use a `CheckpointInterval` value of 60000, even if this value is set to another value using this API or in application code.
	CheckpointInterval *float64 `json:"checkpointInterval" yaml:"checkpointInterval"`
	// Describes the minimum time in milliseconds after a checkpoint operation completes that a new checkpoint operation can start.
	//
	// If a checkpoint operation takes longer than the `CheckpointInterval` , the application otherwise performs continual checkpoint operations. For more information, see [Tuning Checkpointing](https://docs.aws.amazon.com/https://ci.apache.org/projects/flink/flink-docs-release-1.8/ops/state/large_state_tuning.html#tuning-checkpointing) in the [Apache Flink Documentation](https://docs.aws.amazon.com/https://ci.apache.org/projects/flink/flink-docs-release-1.8/) .
	//
	// > If `CheckpointConfiguration.ConfigurationType` is `DEFAULT` , the application will use a `MinPauseBetweenCheckpoints` value of 5000, even if this value is set using this API or in application code.
	MinPauseBetweenCheckpoints *float64 `json:"minPauseBetweenCheckpoints" yaml:"minPauseBetweenCheckpoints"`
}

Describes an application's checkpointing configuration.

Checkpointing is the process of persisting application state for fault tolerance. For more information, see [Checkpoints for Fault Tolerance](https://docs.aws.amazon.com/https://ci.apache.org/projects/flink/flink-docs-release-1.8/concepts/programming-model.html#checkpoints-for-fault-tolerance) in the [Apache Flink Documentation](https://docs.aws.amazon.com/https://ci.apache.org/projects/flink/flink-docs-release-1.8/) .

TODO: EXAMPLE

type CfnApplication_CodeContentProperty 

type CfnApplication_CodeContentProperty struct {
	// Information about the Amazon S3 bucket that contains the application code.
	S3ContentLocation interface{} `json:"s3ContentLocation" yaml:"s3ContentLocation"`
	// The text-format code for a Flink-based Kinesis Data Analytics application.
	TextContent *string `json:"textContent" yaml:"textContent"`
	// The zip-format code for a Flink-based Kinesis Data Analytics application.
	ZipFileContent *string `json:"zipFileContent" yaml:"zipFileContent"`
}

Specifies either the application code, or the location of the application code, for a Flink-based Kinesis Data Analytics application.

TODO: EXAMPLE

type CfnApplication_CustomArtifactConfigurationProperty 

type CfnApplication_CustomArtifactConfigurationProperty struct {
	// Set this to either `UDF` or `DEPENDENCY_JAR` .
	//
	// `UDF` stands for user-defined functions. This type of artifact must be in an S3 bucket. A `DEPENDENCY_JAR` can be in either Maven or an S3 bucket.
	ArtifactType *string `json:"artifactType" yaml:"artifactType"`
	// The parameters required to fully specify a Maven reference.
	MavenReference interface{} `json:"mavenReference" yaml:"mavenReference"`
	// The location of the custom artifacts.
	S3ContentLocation interface{} `json:"s3ContentLocation" yaml:"s3ContentLocation"`
}

The configuration of connectors and user-defined functions.

TODO: EXAMPLE

type CfnApplication_DeployAsApplicationConfigurationProperty 

type CfnApplication_DeployAsApplicationConfigurationProperty struct {
	// The description of an Amazon S3 object that contains the Amazon Data Analytics application, including the Amazon Resource Name (ARN) of the S3 bucket, the name of the Amazon S3 object that contains the data, and the version number of the Amazon S3 object that contains the data.
	S3ContentLocation interface{} `json:"s3ContentLocation" yaml:"s3ContentLocation"`
}

The information required to deploy a Kinesis Data Analytics Studio notebook as an application with durable state.

TODO: EXAMPLE

type CfnApplication_EnvironmentPropertiesProperty 

type CfnApplication_EnvironmentPropertiesProperty struct {
	// Describes the execution property groups.
	PropertyGroups interface{} `json:"propertyGroups" yaml:"propertyGroups"`
}

Describes execution properties for a Flink-based Kinesis Data Analytics application.

TODO: EXAMPLE

type CfnApplication_FlinkApplicationConfigurationProperty 

type CfnApplication_FlinkApplicationConfigurationProperty struct {
	// Describes an application's checkpointing configuration.
	//
	// Checkpointing is the process of persisting application state for fault tolerance. For more information, see [Checkpoints for Fault Tolerance](https://docs.aws.amazon.com/https://ci.apache.org/projects/flink/flink-docs-release-1.8/concepts/programming-model.html#checkpoints-for-fault-tolerance) in the [Apache Flink Documentation](https://docs.aws.amazon.com/https://ci.apache.org/projects/flink/flink-docs-release-1.8/) .
	CheckpointConfiguration interface{} `json:"checkpointConfiguration" yaml:"checkpointConfiguration"`
	// Describes configuration parameters for Amazon CloudWatch logging for an application.
	MonitoringConfiguration interface{} `json:"monitoringConfiguration" yaml:"monitoringConfiguration"`
	// Describes parameters for how an application executes multiple tasks simultaneously.
	ParallelismConfiguration interface{} `json:"parallelismConfiguration" yaml:"parallelismConfiguration"`
}

Describes configuration parameters for a Flink-based Kinesis Data Analytics application or a Studio notebook.

TODO: EXAMPLE

type CfnApplication_GlueDataCatalogConfigurationProperty 

type CfnApplication_GlueDataCatalogConfigurationProperty struct {
	// The Amazon Resource Name (ARN) of the database.
	DatabaseArn *string `json:"databaseArn" yaml:"databaseArn"`
}

The configuration of the Glue Data Catalog that you use for Apache Flink SQL queries and table API transforms that you write in an application.

TODO: EXAMPLE

type CfnApplication_InputLambdaProcessorProperty 

type CfnApplication_InputLambdaProcessorProperty struct {
	// The ARN of the Amazon Lambda function that operates on records in the stream.
	//
	// > To specify an earlier version of the Lambda function than the latest, include the Lambda function version in the Lambda function ARN. For more information about Lambda ARNs, see [Example ARNs: Amazon Lambda](https://docs.aws.amazon.com//general/latest/gr/aws-arns-and-namespaces.html#arn-syntax-lambda)
	ResourceArn *string `json:"resourceArn" yaml:"resourceArn"`
}

An object that contains the Amazon Resource Name (ARN) of the Amazon Lambda function that is used to preprocess records in the stream in a SQL-based Kinesis Data Analytics application.

TODO: EXAMPLE

type CfnApplication_InputParallelismProperty 

type CfnApplication_InputParallelismProperty struct {
	// The number of in-application streams to create.
	Count *float64 `json:"count" yaml:"count"`
}

For a SQL-based Kinesis Data Analytics application, describes the number of in-application streams to create for a given streaming source.

TODO: EXAMPLE

type CfnApplication_InputProcessingConfigurationProperty 

type CfnApplication_InputProcessingConfigurationProperty struct {
	// The [InputLambdaProcessor](https://docs.aws.amazon.com/kinesisanalytics/latest/apiv2/API_InputLambdaProcessor.html) that is used to preprocess the records in the stream before being processed by your application code.
	InputLambdaProcessor interface{} `json:"inputLambdaProcessor" yaml:"inputLambdaProcessor"`
}

For an SQL-based Amazon Kinesis Data Analytics application, describes a processor that is used to preprocess the records in the stream before being processed by your application code.

Currently, the only input processor available is [Amazon Lambda](https://docs.aws.amazon.com/lambda/) .

TODO: EXAMPLE

type CfnApplication_InputProperty 

type CfnApplication_InputProperty struct {
	// Describes the format of the data in the streaming source, and how each data element maps to corresponding columns in the in-application stream that is being created.
	//
	// Also used to describe the format of the reference data source.
	InputSchema interface{} `json:"inputSchema" yaml:"inputSchema"`
	// The name prefix to use when creating an in-application stream.
	//
	// Suppose that you specify a prefix " `MyInApplicationStream` ." Kinesis Data Analytics then creates one or more (as per the `InputParallelism` count you specified) in-application streams with the names " `MyInApplicationStream_001` ," " `MyInApplicationStream_002` ," and so on.
	NamePrefix *string `json:"namePrefix" yaml:"namePrefix"`
	// Describes the number of in-application streams to create.
	InputParallelism interface{} `json:"inputParallelism" yaml:"inputParallelism"`
	// The [InputProcessingConfiguration](https://docs.aws.amazon.com/kinesisanalytics/latest/apiv2/API_InputProcessingConfiguration.html) for the input. An input processor transforms records as they are received from the stream, before the application's SQL code executes. Currently, the only input processing configuration available is [InputLambdaProcessor](https://docs.aws.amazon.com/kinesisanalytics/latest/apiv2/API_InputLambdaProcessor.html) .
	InputProcessingConfiguration interface{} `json:"inputProcessingConfiguration" yaml:"inputProcessingConfiguration"`
	// If the streaming source is an Amazon Kinesis Data Firehose delivery stream, identifies the delivery stream's ARN.
	KinesisFirehoseInput interface{} `json:"kinesisFirehoseInput" yaml:"kinesisFirehoseInput"`
	// If the streaming source is an Amazon Kinesis data stream, identifies the stream's Amazon Resource Name (ARN).
	KinesisStreamsInput interface{} `json:"kinesisStreamsInput" yaml:"kinesisStreamsInput"`
}

When you configure the application input for a SQL-based Kinesis Data Analytics application, you specify the streaming source, the in-application stream name that is created, and the mapping between the two.

TODO: EXAMPLE

type CfnApplication_InputSchemaProperty 

type CfnApplication_InputSchemaProperty struct {
	// A list of `RecordColumn` objects.
	RecordColumns interface{} `json:"recordColumns" yaml:"recordColumns"`
	// Specifies the format of the records on the streaming source.
	RecordFormat interface{} `json:"recordFormat" yaml:"recordFormat"`
	// Specifies the encoding of the records in the streaming source.
	//
	// For example, UTF-8.
	RecordEncoding *string `json:"recordEncoding" yaml:"recordEncoding"`
}

For a SQL-based Kinesis Data Analytics application, describes the format of the data in the streaming source, and how each data element maps to corresponding columns created in the in-application stream.

TODO: EXAMPLE

type CfnApplication_JSONMappingParametersProperty 

type CfnApplication_JSONMappingParametersProperty struct {
	// The path to the top-level parent that contains the records.
	RecordRowPath *string `json:"recordRowPath" yaml:"recordRowPath"`
}

For a SQL-based Kinesis Data Analytics application, provides additional mapping information when JSON is the record format on the streaming source.

TODO: EXAMPLE

type CfnApplication_KinesisFirehoseInputProperty 

type CfnApplication_KinesisFirehoseInputProperty struct {
	// The Amazon Resource Name (ARN) of the delivery stream.
	ResourceArn *string `json:"resourceArn" yaml:"resourceArn"`
}

For a SQL-based Kinesis Data Analytics application, identifies a Kinesis Data Firehose delivery stream as the streaming source.

You provide the delivery stream's Amazon Resource Name (ARN).

TODO: EXAMPLE

type CfnApplication_KinesisStreamsInputProperty 

type CfnApplication_KinesisStreamsInputProperty struct {
	// The ARN of the input Kinesis data stream to read.
	ResourceArn *string `json:"resourceArn" yaml:"resourceArn"`
}

Identifies a Kinesis data stream as the streaming source.

You provide the stream's Amazon Resource Name (ARN).

TODO: EXAMPLE

type CfnApplication_MappingParametersProperty 

type CfnApplication_MappingParametersProperty struct {
	// Provides additional mapping information when the record format uses delimiters (for example, CSV).
	CsvMappingParameters interface{} `json:"csvMappingParameters" yaml:"csvMappingParameters"`
	// Provides additional mapping information when JSON is the record format on the streaming source.
	JsonMappingParameters interface{} `json:"jsonMappingParameters" yaml:"jsonMappingParameters"`
}

When you configure a SQL-based Kinesis Data Analytics application's input at the time of creating or updating an application, provides additional mapping information specific to the record format (such as JSON, CSV, or record fields delimited by some delimiter) on the streaming source.

TODO: EXAMPLE

type CfnApplication_MavenReferenceProperty 

type CfnApplication_MavenReferenceProperty struct {
	// The artifact ID of the Maven reference.
	ArtifactId *string `json:"artifactId" yaml:"artifactId"`
	// The group ID of the Maven reference.
	GroupId *string `json:"groupId" yaml:"groupId"`
	// The version of the Maven reference.
	Version *string `json:"version" yaml:"version"`
}

The information required to specify a Maven reference.

You can use Maven references to specify dependency JAR files.

TODO: EXAMPLE

type CfnApplication_MonitoringConfigurationProperty 

type CfnApplication_MonitoringConfigurationProperty struct {
	// Describes whether to use the default CloudWatch logging configuration for an application.
	//
	// You must set this property to `CUSTOM` in order to set the `LogLevel` or `MetricsLevel` parameters.
	ConfigurationType *string `json:"configurationType" yaml:"configurationType"`
	// Describes the verbosity of the CloudWatch Logs for an application.
	LogLevel *string `json:"logLevel" yaml:"logLevel"`
	// Describes the granularity of the CloudWatch Logs for an application.
	//
	// The `Parallelism` level is not recommended for applications with a Parallelism over 64 due to excessive costs.
	MetricsLevel *string `json:"metricsLevel" yaml:"metricsLevel"`
}

Describes configuration parameters for Amazon CloudWatch logging for a Java-based Kinesis Data Analytics application.

For more information about CloudWatch logging, see [Monitoring](https://docs.aws.amazon.com/kinesisanalytics/latest/java/monitoring-overview) .

TODO: EXAMPLE

type CfnApplication_ParallelismConfigurationProperty 

type CfnApplication_ParallelismConfigurationProperty struct {
	// Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.
	//
	// You must set this property to `CUSTOM` in order to change your application's `AutoScalingEnabled` , `Parallelism` , or `ParallelismPerKPU` properties.
	ConfigurationType *string `json:"configurationType" yaml:"configurationType"`
	// Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
	AutoScalingEnabled interface{} `json:"autoScalingEnabled" yaml:"autoScalingEnabled"`
	// Describes the initial number of parallel tasks that a Java-based Kinesis Data Analytics application can perform.
	//
	// The Kinesis Data Analytics service can increase this number automatically if [ParallelismConfiguration:AutoScalingEnabled](https://docs.aws.amazon.com/kinesisanalytics/latest/apiv2/API_ParallelismConfiguration.html#kinesisanalytics-Type-ParallelismConfiguration-AutoScalingEnabled.html) is set to `true` .
	Parallelism *float64 `json:"parallelism" yaml:"parallelism"`
	// Describes the number of parallel tasks that a Java-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application.
	//
	// For more information about KPUs, see [Amazon Kinesis Data Analytics Pricing](https://docs.aws.amazon.com/kinesis/data-analytics/pricing/) .
	ParallelismPerKpu *float64 `json:"parallelismPerKpu" yaml:"parallelismPerKpu"`
}

Describes parameters for how a Flink-based Kinesis Data Analytics application executes multiple tasks simultaneously.

For more information about parallelism, see [Parallel Execution](https://docs.aws.amazon.com/https://ci.apache.org/projects/flink/flink-docs-release-1.8/dev/parallel.html) in the [Apache Flink Documentation](https://docs.aws.amazon.com/https://ci.apache.org/projects/flink/flink-docs-release-1.8/) .

TODO: EXAMPLE

type CfnApplication_PropertyGroupProperty 

type CfnApplication_PropertyGroupProperty struct {
	// Describes the key of an application execution property key-value pair.
	PropertyGroupId *string `json:"propertyGroupId" yaml:"propertyGroupId"`
	// Describes the value of an application execution property key-value pair.
	PropertyMap interface{} `json:"propertyMap" yaml:"propertyMap"`
}

Property key-value pairs passed into an application.

TODO: EXAMPLE

type CfnApplication_RecordColumnProperty 

type CfnApplication_RecordColumnProperty struct {
	// The name of the column that is created in the in-application input stream or reference table.
	Name *string `json:"name" yaml:"name"`
	// The type of column created in the in-application input stream or reference table.
	SqlType *string `json:"sqlType" yaml:"sqlType"`
	// A reference to the data element in the streaming input or the reference data source.
	Mapping *string `json:"mapping" yaml:"mapping"`
}

For a SQL-based Kinesis Data Analytics application, describes the mapping of each data element in the streaming source to the corresponding column in the in-application stream.

Also used to describe the format of the reference data source.

TODO: EXAMPLE

type CfnApplication_RecordFormatProperty 

type CfnApplication_RecordFormatProperty struct {
	// The type of record format.
	RecordFormatType *string `json:"recordFormatType" yaml:"recordFormatType"`
	// When you configure application input at the time of creating or updating an application, provides additional mapping information specific to the record format (such as JSON, CSV, or record fields delimited by some delimiter) on the streaming source.
	MappingParameters interface{} `json:"mappingParameters" yaml:"mappingParameters"`
}

For a SQL-based Kinesis Data Analytics application, describes the record format and relevant mapping information that should be applied to schematize the records on the stream.

TODO: EXAMPLE

type CfnApplication_S3ContentBaseLocationProperty 

type CfnApplication_S3ContentBaseLocationProperty struct {
	// The base path for the S3 bucket.
	BasePath *string `json:"basePath" yaml:"basePath"`
	// The Amazon Resource Name (ARN) of the S3 bucket.
	BucketArn *string `json:"bucketArn" yaml:"bucketArn"`
}

The base location of the Amazon Data Analytics application.

TODO: EXAMPLE

type CfnApplication_S3ContentLocationProperty 

type CfnApplication_S3ContentLocationProperty struct {
	// The Amazon Resource Name (ARN) for the S3 bucket containing the application code.
	BucketArn *string `json:"bucketArn" yaml:"bucketArn"`
	// The file key for the object containing the application code.
	FileKey *string `json:"fileKey" yaml:"fileKey"`
	// The version of the object containing the application code.
	ObjectVersion *string `json:"objectVersion" yaml:"objectVersion"`
}

The location of an application or a custom artifact.

TODO: EXAMPLE

type CfnApplication_SqlApplicationConfigurationProperty 

type CfnApplication_SqlApplicationConfigurationProperty struct {
	// The array of [Input](https://docs.aws.amazon.com/kinesisanalytics/latest/apiv2/API_Input.html) objects describing the input streams used by the application.
	Inputs interface{} `json:"inputs" yaml:"inputs"`
}

Describes the inputs, outputs, and reference data sources for a SQL-based Kinesis Data Analytics application.

TODO: EXAMPLE

type CfnApplication_ZeppelinApplicationConfigurationProperty 

type CfnApplication_ZeppelinApplicationConfigurationProperty struct {
	// The Amazon Glue Data Catalog that you use in queries in a Kinesis Data Analytics Studio notebook.
	CatalogConfiguration interface{} `json:"catalogConfiguration" yaml:"catalogConfiguration"`
	// A list of `CustomArtifactConfiguration` objects.
	CustomArtifactsConfiguration interface{} `json:"customArtifactsConfiguration" yaml:"customArtifactsConfiguration"`
	// The information required to deploy a Kinesis Data Analytics Studio notebook as an application with durable state.
	DeployAsApplicationConfiguration interface{} `json:"deployAsApplicationConfiguration" yaml:"deployAsApplicationConfiguration"`
	// The monitoring configuration of a Kinesis Data Analytics Studio notebook.
	MonitoringConfiguration interface{} `json:"monitoringConfiguration" yaml:"monitoringConfiguration"`
}

The configuration of a Kinesis Data Analytics Studio notebook.

TODO: EXAMPLE

type CfnApplication_ZeppelinMonitoringConfigurationProperty 

type CfnApplication_ZeppelinMonitoringConfigurationProperty struct {
	// The verbosity of the CloudWatch Logs for an application.
	//
	// You can set it to `INFO` , `WARN` , `ERROR` , or `DEBUG` .
	LogLevel *string `json:"logLevel" yaml:"logLevel"`
}

Describes configuration parameters for Amazon CloudWatch logging for a Kinesis Data Analytics Studio notebook.

For more information about CloudWatch logging, see [Monitoring](https://docs.aws.amazon.com/kinesisanalytics/latest/java/monitoring-overview.html) .

TODO: EXAMPLE

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