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package cloudshift.awscdk.dsl.services.kinesisanalytics
import kotlin.String
import kotlin.Unit
import software.amazon.awscdk.services.kinesisanalytics.CfnApplication
import software.amazon.awscdk.services.kinesisanalytics.CfnApplicationCloudWatchLoggingOptionV2
import software.amazon.awscdk.services.kinesisanalytics.CfnApplicationCloudWatchLoggingOptionV2Props
import software.amazon.awscdk.services.kinesisanalytics.CfnApplicationOutput
import software.amazon.awscdk.services.kinesisanalytics.CfnApplicationOutputProps
import software.amazon.awscdk.services.kinesisanalytics.CfnApplicationOutputV2
import software.amazon.awscdk.services.kinesisanalytics.CfnApplicationOutputV2Props
import software.amazon.awscdk.services.kinesisanalytics.CfnApplicationProps
import software.amazon.awscdk.services.kinesisanalytics.CfnApplicationReferenceDataSource
import software.amazon.awscdk.services.kinesisanalytics.CfnApplicationReferenceDataSourceProps
import software.amazon.awscdk.services.kinesisanalytics.CfnApplicationReferenceDataSourceV2
import software.amazon.awscdk.services.kinesisanalytics.CfnApplicationReferenceDataSourceV2Props
import software.amazon.awscdk.services.kinesisanalytics.CfnApplicationV2
import software.amazon.awscdk.services.kinesisanalytics.CfnApplicationV2Props
import software.constructs.Construct
public object kinesisanalytics {
/**
* The `AWS::KinesisAnalytics::Application` resource creates an Amazon Kinesis Data Analytics
* application.
*
* For more information, see the [Amazon Kinesis Data Analytics Developer
* Guide](https://docs.aws.amazon.com//kinesisanalytics/latest/dev/what-is.html) .
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CfnApplication cfnApplication = CfnApplication.Builder.create(this, "MyCfnApplication")
* .inputs(List.of(InputProperty.builder()
* .inputSchema(InputSchemaProperty.builder()
* .recordColumns(List.of(RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build()))
* .recordFormat(RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build())
* // the properties below are optional
* .recordEncoding("recordEncoding")
* .build())
* .namePrefix("namePrefix")
* // the properties below are optional
* .inputParallelism(InputParallelismProperty.builder()
* .count(123)
* .build())
* .inputProcessingConfiguration(InputProcessingConfigurationProperty.builder()
* .inputLambdaProcessor(InputLambdaProcessorProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build())
* .build())
* .kinesisFirehoseInput(KinesisFirehoseInputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build())
* .kinesisStreamsInput(KinesisStreamsInputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build())
* .build()))
* // the properties below are optional
* .applicationCode("applicationCode")
* .applicationDescription("applicationDescription")
* .applicationName("applicationName")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalytics-application.html)
*/
public inline fun cfnApplication(
scope: Construct,
id: String,
block: CfnApplicationDsl.() -> Unit = {},
): CfnApplication {
val builder = CfnApplicationDsl(scope, id)
builder.apply(block)
return builder.build()
}
/**
* 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"`
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CSVMappingParametersProperty cSVMappingParametersProperty =
* CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-csvmappingparameters.html)
*/
public inline
fun cfnApplicationCSVMappingParametersProperty(block: CfnApplicationCSVMappingParametersPropertyDsl.() -> Unit
= {}): CfnApplication.CSVMappingParametersProperty {
val builder = CfnApplicationCSVMappingParametersPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Adds an Amazon CloudWatch log stream to monitor application configuration errors.
*
*
* Only one *ApplicationCloudWatchLoggingOption* resource can be attached per application.
*
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CfnApplicationCloudWatchLoggingOptionV2 cfnApplicationCloudWatchLoggingOptionV2 =
* CfnApplicationCloudWatchLoggingOptionV2.Builder.create(this,
* "MyCfnApplicationCloudWatchLoggingOptionV2")
* .applicationName("applicationName")
* .cloudWatchLoggingOption(CloudWatchLoggingOptionProperty.builder()
* .logStreamArn("logStreamArn")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-applicationcloudwatchloggingoption.html)
*/
public inline fun cfnApplicationCloudWatchLoggingOptionV2(
scope: Construct,
id: String,
block: CfnApplicationCloudWatchLoggingOptionV2Dsl.() -> Unit = {},
): CfnApplicationCloudWatchLoggingOptionV2 {
val builder = CfnApplicationCloudWatchLoggingOptionV2Dsl(scope, id)
builder.apply(block)
return builder.build()
}
/**
* Provides a description of Amazon CloudWatch logging options, including the log stream Amazon
* Resource Name (ARN).
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CloudWatchLoggingOptionProperty cloudWatchLoggingOptionProperty =
* CloudWatchLoggingOptionProperty.builder()
* .logStreamArn("logStreamArn")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-applicationcloudwatchloggingoption-cloudwatchloggingoption.html)
*/
public inline
fun cfnApplicationCloudWatchLoggingOptionV2CloudWatchLoggingOptionProperty(block: CfnApplicationCloudWatchLoggingOptionV2CloudWatchLoggingOptionPropertyDsl.() -> Unit
= {}): CfnApplicationCloudWatchLoggingOptionV2.CloudWatchLoggingOptionProperty {
val builder = CfnApplicationCloudWatchLoggingOptionV2CloudWatchLoggingOptionPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Properties for defining a `CfnApplicationCloudWatchLoggingOption`.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CfnApplicationCloudWatchLoggingOptionV2Props cfnApplicationCloudWatchLoggingOptionV2Props =
* CfnApplicationCloudWatchLoggingOptionV2Props.builder()
* .applicationName("applicationName")
* .cloudWatchLoggingOption(CloudWatchLoggingOptionProperty.builder()
* .logStreamArn("logStreamArn")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-applicationcloudwatchloggingoption.html)
*/
public inline
fun cfnApplicationCloudWatchLoggingOptionV2Props(block: CfnApplicationCloudWatchLoggingOptionV2PropsDsl.() -> Unit
= {}): CfnApplicationCloudWatchLoggingOptionV2Props {
val builder = CfnApplicationCloudWatchLoggingOptionV2PropsDsl()
builder.apply(block)
return builder.build()
}
/**
* An object that contains the Amazon Resource Name (ARN) of the [AWS
* Lambda](https://docs.aws.amazon.com/lambda/) function that is used to preprocess records in the
* stream, and the ARN of the IAM role that is used to access the AWS Lambda function.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* InputLambdaProcessorProperty inputLambdaProcessorProperty =
* InputLambdaProcessorProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-inputlambdaprocessor.html)
*/
public inline
fun cfnApplicationInputLambdaProcessorProperty(block: CfnApplicationInputLambdaProcessorPropertyDsl.() -> Unit
= {}): CfnApplication.InputLambdaProcessorProperty {
val builder = CfnApplicationInputLambdaProcessorPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Describes the number of in-application streams to create for a given streaming source.
*
* For information about parallelism, see [Configuring Application
* Input](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-input.html) .
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* InputParallelismProperty inputParallelismProperty = InputParallelismProperty.builder()
* .count(123)
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-inputparallelism.html)
*/
public inline
fun cfnApplicationInputParallelismProperty(block: CfnApplicationInputParallelismPropertyDsl.() -> Unit
= {}): CfnApplication.InputParallelismProperty {
val builder = CfnApplicationInputParallelismPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Provides a description of 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 [AWS
* Lambda](https://docs.aws.amazon.com/lambda/) .
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* InputProcessingConfigurationProperty inputProcessingConfigurationProperty =
* InputProcessingConfigurationProperty.builder()
* .inputLambdaProcessor(InputLambdaProcessorProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-inputprocessingconfiguration.html)
*/
public inline
fun cfnApplicationInputProcessingConfigurationProperty(block: CfnApplicationInputProcessingConfigurationPropertyDsl.() -> Unit
= {}): CfnApplication.InputProcessingConfigurationProperty {
val builder = CfnApplicationInputProcessingConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* When you configure the application input, you specify the streaming source, the in-application
* stream name that is created, and the mapping between the two.
*
* For more information, see [Configuring Application
* Input](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-input.html) .
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* InputProperty inputProperty = InputProperty.builder()
* .inputSchema(InputSchemaProperty.builder()
* .recordColumns(List.of(RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build()))
* .recordFormat(RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build())
* // the properties below are optional
* .recordEncoding("recordEncoding")
* .build())
* .namePrefix("namePrefix")
* // the properties below are optional
* .inputParallelism(InputParallelismProperty.builder()
* .count(123)
* .build())
* .inputProcessingConfiguration(InputProcessingConfigurationProperty.builder()
* .inputLambdaProcessor(InputLambdaProcessorProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build())
* .build())
* .kinesisFirehoseInput(KinesisFirehoseInputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build())
* .kinesisStreamsInput(KinesisStreamsInputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-input.html)
*/
public inline fun cfnApplicationInputProperty(block: CfnApplicationInputPropertyDsl.() -> Unit =
{}): CfnApplication.InputProperty {
val builder = CfnApplicationInputPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* InputSchemaProperty inputSchemaProperty = InputSchemaProperty.builder()
* .recordColumns(List.of(RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build()))
* .recordFormat(RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build())
* // the properties below are optional
* .recordEncoding("recordEncoding")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-inputschema.html)
*/
public inline
fun cfnApplicationInputSchemaProperty(block: CfnApplicationInputSchemaPropertyDsl.() -> Unit =
{}): CfnApplication.InputSchemaProperty {
val builder = CfnApplicationInputSchemaPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Provides additional mapping information when JSON is the record format on the streaming source.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* JSONMappingParametersProperty jSONMappingParametersProperty =
* JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-jsonmappingparameters.html)
*/
public inline
fun cfnApplicationJSONMappingParametersProperty(block: CfnApplicationJSONMappingParametersPropertyDsl.() -> Unit
= {}): CfnApplication.JSONMappingParametersProperty {
val builder = CfnApplicationJSONMappingParametersPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Identifies an Amazon Kinesis Firehose delivery stream as the streaming source.
*
* You provide the delivery stream's Amazon Resource Name (ARN) and an IAM role ARN that enables
* Amazon Kinesis Analytics to access the stream on your behalf.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* KinesisFirehoseInputProperty kinesisFirehoseInputProperty =
* KinesisFirehoseInputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-kinesisfirehoseinput.html)
*/
public inline
fun cfnApplicationKinesisFirehoseInputProperty(block: CfnApplicationKinesisFirehoseInputPropertyDsl.() -> Unit
= {}): CfnApplication.KinesisFirehoseInputProperty {
val builder = CfnApplicationKinesisFirehoseInputPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Identifies an Amazon Kinesis stream as the streaming source.
*
* You provide the stream's Amazon Resource Name (ARN) and an IAM role ARN that enables Amazon
* Kinesis Analytics to access the stream on your behalf.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* KinesisStreamsInputProperty kinesisStreamsInputProperty = KinesisStreamsInputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-kinesisstreamsinput.html)
*/
public inline
fun cfnApplicationKinesisStreamsInputProperty(block: CfnApplicationKinesisStreamsInputPropertyDsl.() -> Unit
= {}): CfnApplication.KinesisStreamsInputProperty {
val builder = CfnApplicationKinesisStreamsInputPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* When configuring 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* MappingParametersProperty mappingParametersProperty = MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-mappingparameters.html)
*/
public inline
fun cfnApplicationMappingParametersProperty(block: CfnApplicationMappingParametersPropertyDsl.() -> Unit
= {}): CfnApplication.MappingParametersProperty {
val builder = CfnApplicationMappingParametersPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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 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. 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` 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CfnApplicationOutput cfnApplicationOutput = CfnApplicationOutput.Builder.create(this,
* "MyCfnApplicationOutput")
* .applicationName("applicationName")
* .output(OutputProperty.builder()
* .destinationSchema(DestinationSchemaProperty.builder()
* .recordFormatType("recordFormatType")
* .build())
* // the properties below are optional
* .kinesisFirehoseOutput(KinesisFirehoseOutputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build())
* .kinesisStreamsOutput(KinesisStreamsOutputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build())
* .lambdaOutput(LambdaOutputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build())
* .name("name")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalytics-applicationoutput.html)
*/
public inline fun cfnApplicationOutput(
scope: Construct,
id: String,
block: CfnApplicationOutputDsl.() -> Unit = {},
): CfnApplicationOutput {
val builder = CfnApplicationOutputDsl(scope, id)
builder.apply(block)
return builder.build()
}
/**
* Describes the data format when records are written to the destination.
*
* For more information, see [Configuring Application
* Output](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-output.html) .
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* DestinationSchemaProperty destinationSchemaProperty = DestinationSchemaProperty.builder()
* .recordFormatType("recordFormatType")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationoutput-destinationschema.html)
*/
public inline
fun cfnApplicationOutputDestinationSchemaProperty(block: CfnApplicationOutputDestinationSchemaPropertyDsl.() -> Unit
= {}): CfnApplicationOutput.DestinationSchemaProperty {
val builder = CfnApplicationOutputDestinationSchemaPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* When configuring application output, identifies an Amazon Kinesis Firehose delivery stream as
* the destination.
*
* You provide the stream Amazon Resource Name (ARN) and an IAM role that enables Amazon Kinesis
* Analytics to write to the stream on your behalf.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* KinesisFirehoseOutputProperty kinesisFirehoseOutputProperty =
* KinesisFirehoseOutputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationoutput-kinesisfirehoseoutput.html)
*/
public inline
fun cfnApplicationOutputKinesisFirehoseOutputProperty(block: CfnApplicationOutputKinesisFirehoseOutputPropertyDsl.() -> Unit
= {}): CfnApplicationOutput.KinesisFirehoseOutputProperty {
val builder = CfnApplicationOutputKinesisFirehoseOutputPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* When configuring application output, identifies an Amazon Kinesis stream as the destination.
*
* You provide the stream Amazon Resource Name (ARN) and also an IAM role ARN that Amazon Kinesis
* Analytics can use to write to the stream on your behalf.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* KinesisStreamsOutputProperty kinesisStreamsOutputProperty =
* KinesisStreamsOutputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationoutput-kinesisstreamsoutput.html)
*/
public inline
fun cfnApplicationOutputKinesisStreamsOutputProperty(block: CfnApplicationOutputKinesisStreamsOutputPropertyDsl.() -> Unit
= {}): CfnApplicationOutput.KinesisStreamsOutputProperty {
val builder = CfnApplicationOutputKinesisStreamsOutputPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* When configuring application output, identifies an AWS Lambda function as the destination.
*
* You provide the function Amazon Resource Name (ARN) and also an IAM role ARN that Amazon
* Kinesis Analytics can use to write to the function on your behalf.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* LambdaOutputProperty lambdaOutputProperty = LambdaOutputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationoutput-lambdaoutput.html)
*/
public inline
fun cfnApplicationOutputLambdaOutputProperty(block: CfnApplicationOutputLambdaOutputPropertyDsl.() -> Unit
= {}): CfnApplicationOutput.LambdaOutputProperty {
val builder = CfnApplicationOutputLambdaOutputPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Describes application 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 an Amazon Kinesis stream or an Amazon Kinesis Firehose delivery stream.
*
* For limits on how many destinations an application can write and other limitations, see
* [Limits](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/limits.html) .
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* OutputProperty outputProperty = OutputProperty.builder()
* .destinationSchema(DestinationSchemaProperty.builder()
* .recordFormatType("recordFormatType")
* .build())
* // the properties below are optional
* .kinesisFirehoseOutput(KinesisFirehoseOutputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build())
* .kinesisStreamsOutput(KinesisStreamsOutputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build())
* .lambdaOutput(LambdaOutputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build())
* .name("name")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationoutput-output.html)
*/
public inline
fun cfnApplicationOutputOutputProperty(block: CfnApplicationOutputOutputPropertyDsl.() -> Unit
= {}): CfnApplicationOutput.OutputProperty {
val builder = CfnApplicationOutputOutputPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Properties for defining a `CfnApplicationOutput`.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CfnApplicationOutputProps cfnApplicationOutputProps = CfnApplicationOutputProps.builder()
* .applicationName("applicationName")
* .output(OutputProperty.builder()
* .destinationSchema(DestinationSchemaProperty.builder()
* .recordFormatType("recordFormatType")
* .build())
* // the properties below are optional
* .kinesisFirehoseOutput(KinesisFirehoseOutputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build())
* .kinesisStreamsOutput(KinesisStreamsOutputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build())
* .lambdaOutput(LambdaOutputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build())
* .name("name")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalytics-applicationoutput.html)
*/
public inline fun cfnApplicationOutputProps(block: CfnApplicationOutputPropsDsl.() -> Unit = {}):
CfnApplicationOutputProps {
val builder = CfnApplicationOutputPropsDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
*
* Creation of multiple outputs should be sequential (use of DependsOn) to avoid a problem with a
* stale application version ( *ConcurrentModificationException* ).
*
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CfnApplicationOutputV2 cfnApplicationOutputV2 = CfnApplicationOutputV2.Builder.create(this,
* "MyCfnApplicationOutputV2")
* .applicationName("applicationName")
* .output(OutputProperty.builder()
* .destinationSchema(DestinationSchemaProperty.builder()
* .recordFormatType("recordFormatType")
* .build())
* // the properties below are optional
* .kinesisFirehoseOutput(KinesisFirehoseOutputProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .kinesisStreamsOutput(KinesisStreamsOutputProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .lambdaOutput(LambdaOutputProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .name("name")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-applicationoutput.html)
*/
public inline fun cfnApplicationOutputV2(
scope: Construct,
id: String,
block: CfnApplicationOutputV2Dsl.() -> Unit = {},
): CfnApplicationOutputV2 {
val builder = CfnApplicationOutputV2Dsl(scope, id)
builder.apply(block)
return builder.build()
}
/**
* Describes the data format when records are written to the destination in a SQL-based Kinesis
* Data Analytics application.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* DestinationSchemaProperty destinationSchemaProperty = DestinationSchemaProperty.builder()
* .recordFormatType("recordFormatType")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-applicationoutput-destinationschema.html)
*/
public inline
fun cfnApplicationOutputV2DestinationSchemaProperty(block: CfnApplicationOutputV2DestinationSchemaPropertyDsl.() -> Unit
= {}): CfnApplicationOutputV2.DestinationSchemaProperty {
val builder = CfnApplicationOutputV2DestinationSchemaPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* KinesisFirehoseOutputProperty kinesisFirehoseOutputProperty =
* KinesisFirehoseOutputProperty.builder()
* .resourceArn("resourceArn")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-applicationoutput-kinesisfirehoseoutput.html)
*/
public inline
fun cfnApplicationOutputV2KinesisFirehoseOutputProperty(block: CfnApplicationOutputV2KinesisFirehoseOutputPropertyDsl.() -> Unit
= {}): CfnApplicationOutputV2.KinesisFirehoseOutputProperty {
val builder = CfnApplicationOutputV2KinesisFirehoseOutputPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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).
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* KinesisStreamsOutputProperty kinesisStreamsOutputProperty =
* KinesisStreamsOutputProperty.builder()
* .resourceArn("resourceArn")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-applicationoutput-kinesisstreamsoutput.html)
*/
public inline
fun cfnApplicationOutputV2KinesisStreamsOutputProperty(block: CfnApplicationOutputV2KinesisStreamsOutputPropertyDsl.() -> Unit
= {}): CfnApplicationOutputV2.KinesisStreamsOutputProperty {
val builder = CfnApplicationOutputV2KinesisStreamsOutputPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* LambdaOutputProperty lambdaOutputProperty = LambdaOutputProperty.builder()
* .resourceArn("resourceArn")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-applicationoutput-lambdaoutput.html)
*/
public inline
fun cfnApplicationOutputV2LambdaOutputProperty(block: CfnApplicationOutputV2LambdaOutputPropertyDsl.() -> Unit
= {}): CfnApplicationOutputV2.LambdaOutputProperty {
val builder = CfnApplicationOutputV2LambdaOutputPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* OutputProperty outputProperty = OutputProperty.builder()
* .destinationSchema(DestinationSchemaProperty.builder()
* .recordFormatType("recordFormatType")
* .build())
* // the properties below are optional
* .kinesisFirehoseOutput(KinesisFirehoseOutputProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .kinesisStreamsOutput(KinesisStreamsOutputProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .lambdaOutput(LambdaOutputProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .name("name")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-applicationoutput-output.html)
*/
public inline
fun cfnApplicationOutputV2OutputProperty(block: CfnApplicationOutputV2OutputPropertyDsl.() -> Unit
= {}): CfnApplicationOutputV2.OutputProperty {
val builder = CfnApplicationOutputV2OutputPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Properties for defining a `CfnApplicationOutput`.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CfnApplicationOutputV2Props cfnApplicationOutputV2Props = CfnApplicationOutputV2Props.builder()
* .applicationName("applicationName")
* .output(OutputProperty.builder()
* .destinationSchema(DestinationSchemaProperty.builder()
* .recordFormatType("recordFormatType")
* .build())
* // the properties below are optional
* .kinesisFirehoseOutput(KinesisFirehoseOutputProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .kinesisStreamsOutput(KinesisStreamsOutputProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .lambdaOutput(LambdaOutputProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .name("name")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-applicationoutput.html)
*/
public inline fun cfnApplicationOutputV2Props(block: CfnApplicationOutputV2PropsDsl.() -> Unit =
{}): CfnApplicationOutputV2Props {
val builder = CfnApplicationOutputV2PropsDsl()
builder.apply(block)
return builder.build()
}
/**
* Properties for defining a `CfnApplication`.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CfnApplicationProps cfnApplicationProps = CfnApplicationProps.builder()
* .inputs(List.of(InputProperty.builder()
* .inputSchema(InputSchemaProperty.builder()
* .recordColumns(List.of(RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build()))
* .recordFormat(RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build())
* // the properties below are optional
* .recordEncoding("recordEncoding")
* .build())
* .namePrefix("namePrefix")
* // the properties below are optional
* .inputParallelism(InputParallelismProperty.builder()
* .count(123)
* .build())
* .inputProcessingConfiguration(InputProcessingConfigurationProperty.builder()
* .inputLambdaProcessor(InputLambdaProcessorProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build())
* .build())
* .kinesisFirehoseInput(KinesisFirehoseInputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build())
* .kinesisStreamsInput(KinesisStreamsInputProperty.builder()
* .resourceArn("resourceArn")
* .roleArn("roleArn")
* .build())
* .build()))
* // the properties below are optional
* .applicationCode("applicationCode")
* .applicationDescription("applicationDescription")
* .applicationName("applicationName")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalytics-application.html)
*/
public inline fun cfnApplicationProps(block: CfnApplicationPropsDsl.() -> Unit = {}):
CfnApplicationProps {
val builder = CfnApplicationPropsDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* RecordColumnProperty recordColumnProperty = RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-recordcolumn.html)
*/
public inline
fun cfnApplicationRecordColumnProperty(block: CfnApplicationRecordColumnPropertyDsl.() -> Unit
= {}): CfnApplication.RecordColumnProperty {
val builder = CfnApplicationRecordColumnPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Describes the record format and relevant mapping information that should be applied to
* schematize the records on the stream.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* RecordFormatProperty recordFormatProperty = RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-recordformat.html)
*/
public inline
fun cfnApplicationRecordFormatProperty(block: CfnApplicationRecordFormatPropertyDsl.() -> Unit
= {}): CfnApplication.RecordFormatProperty {
val builder = CfnApplicationRecordFormatPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CfnApplicationReferenceDataSource cfnApplicationReferenceDataSource =
* CfnApplicationReferenceDataSource.Builder.create(this, "MyCfnApplicationReferenceDataSource")
* .applicationName("applicationName")
* .referenceDataSource(ReferenceDataSourceProperty.builder()
* .referenceSchema(ReferenceSchemaProperty.builder()
* .recordColumns(List.of(RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build()))
* .recordFormat(RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build())
* // the properties below are optional
* .recordEncoding("recordEncoding")
* .build())
* // the properties below are optional
* .s3ReferenceDataSource(S3ReferenceDataSourceProperty.builder()
* .bucketArn("bucketArn")
* .fileKey("fileKey")
* .referenceRoleArn("referenceRoleArn")
* .build())
* .tableName("tableName")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalytics-applicationreferencedatasource.html)
*/
public inline fun cfnApplicationReferenceDataSource(
scope: Construct,
id: String,
block: CfnApplicationReferenceDataSourceDsl.() -> Unit = {},
): CfnApplicationReferenceDataSource {
val builder = CfnApplicationReferenceDataSourceDsl(scope, id)
builder.apply(block)
return builder.build()
}
/**
* 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"`
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CSVMappingParametersProperty cSVMappingParametersProperty =
* CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-csvmappingparameters.html)
*/
public inline
fun cfnApplicationReferenceDataSourceCSVMappingParametersProperty(block: CfnApplicationReferenceDataSourceCSVMappingParametersPropertyDsl.() -> Unit
= {}): CfnApplicationReferenceDataSource.CSVMappingParametersProperty {
val builder = CfnApplicationReferenceDataSourceCSVMappingParametersPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Provides additional mapping information when JSON is the record format on the streaming source.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* JSONMappingParametersProperty jSONMappingParametersProperty =
* JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-jsonmappingparameters.html)
*/
public inline
fun cfnApplicationReferenceDataSourceJSONMappingParametersProperty(block: CfnApplicationReferenceDataSourceJSONMappingParametersPropertyDsl.() -> Unit
= {}): CfnApplicationReferenceDataSource.JSONMappingParametersProperty {
val builder = CfnApplicationReferenceDataSourceJSONMappingParametersPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* When configuring 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* MappingParametersProperty mappingParametersProperty = MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-mappingparameters.html)
*/
public inline
fun cfnApplicationReferenceDataSourceMappingParametersProperty(block: CfnApplicationReferenceDataSourceMappingParametersPropertyDsl.() -> Unit
= {}): CfnApplicationReferenceDataSource.MappingParametersProperty {
val builder = CfnApplicationReferenceDataSourceMappingParametersPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Properties for defining a `CfnApplicationReferenceDataSource`.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CfnApplicationReferenceDataSourceProps cfnApplicationReferenceDataSourceProps =
* CfnApplicationReferenceDataSourceProps.builder()
* .applicationName("applicationName")
* .referenceDataSource(ReferenceDataSourceProperty.builder()
* .referenceSchema(ReferenceSchemaProperty.builder()
* .recordColumns(List.of(RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build()))
* .recordFormat(RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build())
* // the properties below are optional
* .recordEncoding("recordEncoding")
* .build())
* // the properties below are optional
* .s3ReferenceDataSource(S3ReferenceDataSourceProperty.builder()
* .bucketArn("bucketArn")
* .fileKey("fileKey")
* .referenceRoleArn("referenceRoleArn")
* .build())
* .tableName("tableName")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalytics-applicationreferencedatasource.html)
*/
public inline
fun cfnApplicationReferenceDataSourceProps(block: CfnApplicationReferenceDataSourcePropsDsl.() -> Unit
= {}): CfnApplicationReferenceDataSourceProps {
val builder = CfnApplicationReferenceDataSourcePropsDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* RecordColumnProperty recordColumnProperty = RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-recordcolumn.html)
*/
public inline
fun cfnApplicationReferenceDataSourceRecordColumnProperty(block: CfnApplicationReferenceDataSourceRecordColumnPropertyDsl.() -> Unit
= {}): CfnApplicationReferenceDataSource.RecordColumnProperty {
val builder = CfnApplicationReferenceDataSourceRecordColumnPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Describes the record format and relevant mapping information that should be applied to
* schematize the records on the stream.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* RecordFormatProperty recordFormatProperty = RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-recordformat.html)
*/
public inline
fun cfnApplicationReferenceDataSourceRecordFormatProperty(block: CfnApplicationReferenceDataSourceRecordFormatPropertyDsl.() -> Unit
= {}): CfnApplicationReferenceDataSource.RecordFormatProperty {
val builder = CfnApplicationReferenceDataSourceRecordFormatPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Describes the reference data source by providing the source information (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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* ReferenceDataSourceProperty referenceDataSourceProperty = ReferenceDataSourceProperty.builder()
* .referenceSchema(ReferenceSchemaProperty.builder()
* .recordColumns(List.of(RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build()))
* .recordFormat(RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build())
* // the properties below are optional
* .recordEncoding("recordEncoding")
* .build())
* // the properties below are optional
* .s3ReferenceDataSource(S3ReferenceDataSourceProperty.builder()
* .bucketArn("bucketArn")
* .fileKey("fileKey")
* .referenceRoleArn("referenceRoleArn")
* .build())
* .tableName("tableName")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-referencedatasource.html)
*/
public inline
fun cfnApplicationReferenceDataSourceReferenceDataSourceProperty(block: CfnApplicationReferenceDataSourceReferenceDataSourcePropertyDsl.() -> Unit
= {}): CfnApplicationReferenceDataSource.ReferenceDataSourceProperty {
val builder = CfnApplicationReferenceDataSourceReferenceDataSourcePropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* The ReferenceSchema property type specifies the format of the data in the reference source for
* a SQL-based Amazon Kinesis Data Analytics application.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* ReferenceSchemaProperty referenceSchemaProperty = ReferenceSchemaProperty.builder()
* .recordColumns(List.of(RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build()))
* .recordFormat(RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build())
* // the properties below are optional
* .recordEncoding("recordEncoding")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-referenceschema.html)
*/
public inline
fun cfnApplicationReferenceDataSourceReferenceSchemaProperty(block: CfnApplicationReferenceDataSourceReferenceSchemaPropertyDsl.() -> Unit
= {}): CfnApplicationReferenceDataSource.ReferenceSchemaProperty {
val builder = CfnApplicationReferenceDataSourceReferenceSchemaPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Identifies the S3 bucket and object that contains the reference data.
*
* Also identifies the IAM role Amazon Kinesis Analytics can assume to read this object on your
* behalf.
*
* An Amazon Kinesis Analytics application loads reference data only once. If the data changes,
* you call the
* [UpdateApplication](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/API_UpdateApplication.html)
* operation to trigger reloading of data into your application.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* S3ReferenceDataSourceProperty s3ReferenceDataSourceProperty =
* S3ReferenceDataSourceProperty.builder()
* .bucketArn("bucketArn")
* .fileKey("fileKey")
* .referenceRoleArn("referenceRoleArn")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-s3referencedatasource.html)
*/
public inline
fun cfnApplicationReferenceDataSourceS3ReferenceDataSourceProperty(block: CfnApplicationReferenceDataSourceS3ReferenceDataSourcePropertyDsl.() -> Unit
= {}): CfnApplicationReferenceDataSource.S3ReferenceDataSourceProperty {
val builder = CfnApplicationReferenceDataSourceS3ReferenceDataSourcePropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CfnApplicationReferenceDataSourceV2 cfnApplicationReferenceDataSourceV2 =
* CfnApplicationReferenceDataSourceV2.Builder.create(this, "MyCfnApplicationReferenceDataSourceV2")
* .applicationName("applicationName")
* .referenceDataSource(ReferenceDataSourceProperty.builder()
* .referenceSchema(ReferenceSchemaProperty.builder()
* .recordColumns(List.of(RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build()))
* .recordFormat(RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build())
* // the properties below are optional
* .recordEncoding("recordEncoding")
* .build())
* // the properties below are optional
* .s3ReferenceDataSource(S3ReferenceDataSourceProperty.builder()
* .bucketArn("bucketArn")
* .fileKey("fileKey")
* .build())
* .tableName("tableName")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-applicationreferencedatasource.html)
*/
public inline fun cfnApplicationReferenceDataSourceV2(
scope: Construct,
id: String,
block: CfnApplicationReferenceDataSourceV2Dsl.() -> Unit = {},
): CfnApplicationReferenceDataSourceV2 {
val builder = CfnApplicationReferenceDataSourceV2Dsl(scope, id)
builder.apply(block)
return builder.build()
}
/**
* 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"`
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CSVMappingParametersProperty cSVMappingParametersProperty =
* CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-applicationreferencedatasource-csvmappingparameters.html)
*/
public inline
fun cfnApplicationReferenceDataSourceV2CSVMappingParametersProperty(block: CfnApplicationReferenceDataSourceV2CSVMappingParametersPropertyDsl.() -> Unit
= {}): CfnApplicationReferenceDataSourceV2.CSVMappingParametersProperty {
val builder = CfnApplicationReferenceDataSourceV2CSVMappingParametersPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* For a SQL-based Kinesis Data Analytics application, provides additional mapping information
* when JSON is the record format on the streaming source.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* JSONMappingParametersProperty jSONMappingParametersProperty =
* JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-applicationreferencedatasource-jsonmappingparameters.html)
*/
public inline
fun cfnApplicationReferenceDataSourceV2JSONMappingParametersProperty(block: CfnApplicationReferenceDataSourceV2JSONMappingParametersPropertyDsl.() -> Unit
= {}): CfnApplicationReferenceDataSourceV2.JSONMappingParametersProperty {
val builder = CfnApplicationReferenceDataSourceV2JSONMappingParametersPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* MappingParametersProperty mappingParametersProperty = MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-applicationreferencedatasource-mappingparameters.html)
*/
public inline
fun cfnApplicationReferenceDataSourceV2MappingParametersProperty(block: CfnApplicationReferenceDataSourceV2MappingParametersPropertyDsl.() -> Unit
= {}): CfnApplicationReferenceDataSourceV2.MappingParametersProperty {
val builder = CfnApplicationReferenceDataSourceV2MappingParametersPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Properties for defining a `CfnApplicationReferenceDataSource`.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CfnApplicationReferenceDataSourceV2Props cfnApplicationReferenceDataSourceV2Props =
* CfnApplicationReferenceDataSourceV2Props.builder()
* .applicationName("applicationName")
* .referenceDataSource(ReferenceDataSourceProperty.builder()
* .referenceSchema(ReferenceSchemaProperty.builder()
* .recordColumns(List.of(RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build()))
* .recordFormat(RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build())
* // the properties below are optional
* .recordEncoding("recordEncoding")
* .build())
* // the properties below are optional
* .s3ReferenceDataSource(S3ReferenceDataSourceProperty.builder()
* .bucketArn("bucketArn")
* .fileKey("fileKey")
* .build())
* .tableName("tableName")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-applicationreferencedatasource.html)
*/
public inline
fun cfnApplicationReferenceDataSourceV2Props(block: CfnApplicationReferenceDataSourceV2PropsDsl.() -> Unit
= {}): CfnApplicationReferenceDataSourceV2Props {
val builder = CfnApplicationReferenceDataSourceV2PropsDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* RecordColumnProperty recordColumnProperty = RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-applicationreferencedatasource-recordcolumn.html)
*/
public inline
fun cfnApplicationReferenceDataSourceV2RecordColumnProperty(block: CfnApplicationReferenceDataSourceV2RecordColumnPropertyDsl.() -> Unit
= {}): CfnApplicationReferenceDataSourceV2.RecordColumnProperty {
val builder = CfnApplicationReferenceDataSourceV2RecordColumnPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* RecordFormatProperty recordFormatProperty = RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-applicationreferencedatasource-recordformat.html)
*/
public inline
fun cfnApplicationReferenceDataSourceV2RecordFormatProperty(block: CfnApplicationReferenceDataSourceV2RecordFormatPropertyDsl.() -> Unit
= {}): CfnApplicationReferenceDataSourceV2.RecordFormatProperty {
val builder = CfnApplicationReferenceDataSourceV2RecordFormatPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* ReferenceDataSourceProperty referenceDataSourceProperty = ReferenceDataSourceProperty.builder()
* .referenceSchema(ReferenceSchemaProperty.builder()
* .recordColumns(List.of(RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build()))
* .recordFormat(RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build())
* // the properties below are optional
* .recordEncoding("recordEncoding")
* .build())
* // the properties below are optional
* .s3ReferenceDataSource(S3ReferenceDataSourceProperty.builder()
* .bucketArn("bucketArn")
* .fileKey("fileKey")
* .build())
* .tableName("tableName")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-applicationreferencedatasource-referencedatasource.html)
*/
public inline
fun cfnApplicationReferenceDataSourceV2ReferenceDataSourceProperty(block: CfnApplicationReferenceDataSourceV2ReferenceDataSourcePropertyDsl.() -> Unit
= {}): CfnApplicationReferenceDataSourceV2.ReferenceDataSourceProperty {
val builder = CfnApplicationReferenceDataSourceV2ReferenceDataSourcePropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* ReferenceSchemaProperty referenceSchemaProperty = ReferenceSchemaProperty.builder()
* .recordColumns(List.of(RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build()))
* .recordFormat(RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build())
* // the properties below are optional
* .recordEncoding("recordEncoding")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-applicationreferencedatasource-referenceschema.html)
*/
public inline
fun cfnApplicationReferenceDataSourceV2ReferenceSchemaProperty(block: CfnApplicationReferenceDataSourceV2ReferenceSchemaPropertyDsl.() -> Unit
= {}): CfnApplicationReferenceDataSourceV2.ReferenceSchemaProperty {
val builder = CfnApplicationReferenceDataSourceV2ReferenceSchemaPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* S3ReferenceDataSourceProperty s3ReferenceDataSourceProperty =
* S3ReferenceDataSourceProperty.builder()
* .bucketArn("bucketArn")
* .fileKey("fileKey")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-applicationreferencedatasource-s3referencedatasource.html)
*/
public inline
fun cfnApplicationReferenceDataSourceV2S3ReferenceDataSourceProperty(block: CfnApplicationReferenceDataSourceV2S3ReferenceDataSourcePropertyDsl.() -> Unit
= {}): CfnApplicationReferenceDataSourceV2.S3ReferenceDataSourceProperty {
val builder = CfnApplicationReferenceDataSourceV2S3ReferenceDataSourcePropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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) .
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CfnApplicationV2 cfnApplicationV2 = CfnApplicationV2.Builder.create(this, "MyCfnApplicationV2")
* .runtimeEnvironment("runtimeEnvironment")
* .serviceExecutionRole("serviceExecutionRole")
* // the properties below are optional
* .applicationConfiguration(ApplicationConfigurationProperty.builder()
* .applicationCodeConfiguration(ApplicationCodeConfigurationProperty.builder()
* .codeContent(CodeContentProperty.builder()
* .s3ContentLocation(S3ContentLocationProperty.builder()
* .bucketArn("bucketArn")
* .fileKey("fileKey")
* // the properties below are optional
* .objectVersion("objectVersion")
* .build())
* .textContent("textContent")
* .zipFileContent("zipFileContent")
* .build())
* .codeContentType("codeContentType")
* .build())
* .applicationSnapshotConfiguration(ApplicationSnapshotConfigurationProperty.builder()
* .snapshotsEnabled(false)
* .build())
* .environmentProperties(EnvironmentPropertiesProperty.builder()
* .propertyGroups(List.of(PropertyGroupProperty.builder()
* .propertyGroupId("propertyGroupId")
* .propertyMap(Map.of(
* "propertyMapKey", "propertyMap"))
* .build()))
* .build())
* .flinkApplicationConfiguration(FlinkApplicationConfigurationProperty.builder()
* .checkpointConfiguration(CheckpointConfigurationProperty.builder()
* .configurationType("configurationType")
* // the properties below are optional
* .checkpointingEnabled(false)
* .checkpointInterval(123)
* .minPauseBetweenCheckpoints(123)
* .build())
* .monitoringConfiguration(MonitoringConfigurationProperty.builder()
* .configurationType("configurationType")
* // the properties below are optional
* .logLevel("logLevel")
* .metricsLevel("metricsLevel")
* .build())
* .parallelismConfiguration(ParallelismConfigurationProperty.builder()
* .configurationType("configurationType")
* // the properties below are optional
* .autoScalingEnabled(false)
* .parallelism(123)
* .parallelismPerKpu(123)
* .build())
* .build())
* .sqlApplicationConfiguration(SqlApplicationConfigurationProperty.builder()
* .inputs(List.of(InputProperty.builder()
* .inputSchema(InputSchemaProperty.builder()
* .recordColumns(List.of(RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build()))
* .recordFormat(RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build())
* // the properties below are optional
* .recordEncoding("recordEncoding")
* .build())
* .namePrefix("namePrefix")
* // the properties below are optional
* .inputParallelism(InputParallelismProperty.builder()
* .count(123)
* .build())
* .inputProcessingConfiguration(InputProcessingConfigurationProperty.builder()
* .inputLambdaProcessor(InputLambdaProcessorProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .build())
* .kinesisFirehoseInput(KinesisFirehoseInputProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .kinesisStreamsInput(KinesisStreamsInputProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .build()))
* .build())
* .vpcConfigurations(List.of(VpcConfigurationProperty.builder()
* .securityGroupIds(List.of("securityGroupIds"))
* .subnetIds(List.of("subnetIds"))
* .build()))
* .zeppelinApplicationConfiguration(ZeppelinApplicationConfigurationProperty.builder()
* .catalogConfiguration(CatalogConfigurationProperty.builder()
* .glueDataCatalogConfiguration(GlueDataCatalogConfigurationProperty.builder()
* .databaseArn("databaseArn")
* .build())
* .build())
* .customArtifactsConfiguration(List.of(CustomArtifactConfigurationProperty.builder()
* .artifactType("artifactType")
* // the properties below are optional
* .mavenReference(MavenReferenceProperty.builder()
* .artifactId("artifactId")
* .groupId("groupId")
* .version("version")
* .build())
* .s3ContentLocation(S3ContentLocationProperty.builder()
* .bucketArn("bucketArn")
* .fileKey("fileKey")
* // the properties below are optional
* .objectVersion("objectVersion")
* .build())
* .build()))
* .deployAsApplicationConfiguration(DeployAsApplicationConfigurationProperty.builder()
* .s3ContentLocation(S3ContentBaseLocationProperty.builder()
* .bucketArn("bucketArn")
* // the properties below are optional
* .basePath("basePath")
* .build())
* .build())
* .monitoringConfiguration(ZeppelinMonitoringConfigurationProperty.builder()
* .logLevel("logLevel")
* .build())
* .build())
* .build())
* .applicationDescription("applicationDescription")
* .applicationMaintenanceConfiguration(ApplicationMaintenanceConfigurationProperty.builder()
* .applicationMaintenanceWindowStartTime("applicationMaintenanceWindowStartTime")
* .build())
* .applicationMode("applicationMode")
* .applicationName("applicationName")
* .runConfiguration(RunConfigurationProperty.builder()
* .applicationRestoreConfiguration(ApplicationRestoreConfigurationProperty.builder()
* .applicationRestoreType("applicationRestoreType")
* // the properties below are optional
* .snapshotName("snapshotName")
* .build())
* .flinkRunConfiguration(FlinkRunConfigurationProperty.builder()
* .allowNonRestoredState(false)
* .build())
* .build())
* .tags(List.of(CfnTag.builder()
* .key("key")
* .value("value")
* .build()))
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-application.html)
*/
public inline fun cfnApplicationV2(
scope: Construct,
id: String,
block: CfnApplicationV2Dsl.() -> Unit = {},
): CfnApplicationV2 {
val builder = CfnApplicationV2Dsl(scope, id)
builder.apply(block)
return builder.build()
}
/**
* Describes code configuration for an application.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* ApplicationCodeConfigurationProperty applicationCodeConfigurationProperty =
* ApplicationCodeConfigurationProperty.builder()
* .codeContent(CodeContentProperty.builder()
* .s3ContentLocation(S3ContentLocationProperty.builder()
* .bucketArn("bucketArn")
* .fileKey("fileKey")
* // the properties below are optional
* .objectVersion("objectVersion")
* .build())
* .textContent("textContent")
* .zipFileContent("zipFileContent")
* .build())
* .codeContentType("codeContentType")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationcodeconfiguration.html)
*/
public inline
fun cfnApplicationV2ApplicationCodeConfigurationProperty(block: CfnApplicationV2ApplicationCodeConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.ApplicationCodeConfigurationProperty {
val builder = CfnApplicationV2ApplicationCodeConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Specifies the creation parameters for a Kinesis Data Analytics application.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* ApplicationConfigurationProperty applicationConfigurationProperty =
* ApplicationConfigurationProperty.builder()
* .applicationCodeConfiguration(ApplicationCodeConfigurationProperty.builder()
* .codeContent(CodeContentProperty.builder()
* .s3ContentLocation(S3ContentLocationProperty.builder()
* .bucketArn("bucketArn")
* .fileKey("fileKey")
* // the properties below are optional
* .objectVersion("objectVersion")
* .build())
* .textContent("textContent")
* .zipFileContent("zipFileContent")
* .build())
* .codeContentType("codeContentType")
* .build())
* .applicationSnapshotConfiguration(ApplicationSnapshotConfigurationProperty.builder()
* .snapshotsEnabled(false)
* .build())
* .environmentProperties(EnvironmentPropertiesProperty.builder()
* .propertyGroups(List.of(PropertyGroupProperty.builder()
* .propertyGroupId("propertyGroupId")
* .propertyMap(Map.of(
* "propertyMapKey", "propertyMap"))
* .build()))
* .build())
* .flinkApplicationConfiguration(FlinkApplicationConfigurationProperty.builder()
* .checkpointConfiguration(CheckpointConfigurationProperty.builder()
* .configurationType("configurationType")
* // the properties below are optional
* .checkpointingEnabled(false)
* .checkpointInterval(123)
* .minPauseBetweenCheckpoints(123)
* .build())
* .monitoringConfiguration(MonitoringConfigurationProperty.builder()
* .configurationType("configurationType")
* // the properties below are optional
* .logLevel("logLevel")
* .metricsLevel("metricsLevel")
* .build())
* .parallelismConfiguration(ParallelismConfigurationProperty.builder()
* .configurationType("configurationType")
* // the properties below are optional
* .autoScalingEnabled(false)
* .parallelism(123)
* .parallelismPerKpu(123)
* .build())
* .build())
* .sqlApplicationConfiguration(SqlApplicationConfigurationProperty.builder()
* .inputs(List.of(InputProperty.builder()
* .inputSchema(InputSchemaProperty.builder()
* .recordColumns(List.of(RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build()))
* .recordFormat(RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build())
* // the properties below are optional
* .recordEncoding("recordEncoding")
* .build())
* .namePrefix("namePrefix")
* // the properties below are optional
* .inputParallelism(InputParallelismProperty.builder()
* .count(123)
* .build())
* .inputProcessingConfiguration(InputProcessingConfigurationProperty.builder()
* .inputLambdaProcessor(InputLambdaProcessorProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .build())
* .kinesisFirehoseInput(KinesisFirehoseInputProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .kinesisStreamsInput(KinesisStreamsInputProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .build()))
* .build())
* .vpcConfigurations(List.of(VpcConfigurationProperty.builder()
* .securityGroupIds(List.of("securityGroupIds"))
* .subnetIds(List.of("subnetIds"))
* .build()))
* .zeppelinApplicationConfiguration(ZeppelinApplicationConfigurationProperty.builder()
* .catalogConfiguration(CatalogConfigurationProperty.builder()
* .glueDataCatalogConfiguration(GlueDataCatalogConfigurationProperty.builder()
* .databaseArn("databaseArn")
* .build())
* .build())
* .customArtifactsConfiguration(List.of(CustomArtifactConfigurationProperty.builder()
* .artifactType("artifactType")
* // the properties below are optional
* .mavenReference(MavenReferenceProperty.builder()
* .artifactId("artifactId")
* .groupId("groupId")
* .version("version")
* .build())
* .s3ContentLocation(S3ContentLocationProperty.builder()
* .bucketArn("bucketArn")
* .fileKey("fileKey")
* // the properties below are optional
* .objectVersion("objectVersion")
* .build())
* .build()))
* .deployAsApplicationConfiguration(DeployAsApplicationConfigurationProperty.builder()
* .s3ContentLocation(S3ContentBaseLocationProperty.builder()
* .bucketArn("bucketArn")
* // the properties below are optional
* .basePath("basePath")
* .build())
* .build())
* .monitoringConfiguration(ZeppelinMonitoringConfigurationProperty.builder()
* .logLevel("logLevel")
* .build())
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationconfiguration.html)
*/
public inline
fun cfnApplicationV2ApplicationConfigurationProperty(block: CfnApplicationV2ApplicationConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.ApplicationConfigurationProperty {
val builder = CfnApplicationV2ApplicationConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Specifies the maintence window parameters for a Kinesis Data Analytics application.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* ApplicationMaintenanceConfigurationProperty applicationMaintenanceConfigurationProperty =
* ApplicationMaintenanceConfigurationProperty.builder()
* .applicationMaintenanceWindowStartTime("applicationMaintenanceWindowStartTime")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationmaintenanceconfiguration.html)
*/
public inline
fun cfnApplicationV2ApplicationMaintenanceConfigurationProperty(block: CfnApplicationV2ApplicationMaintenanceConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.ApplicationMaintenanceConfigurationProperty {
val builder = CfnApplicationV2ApplicationMaintenanceConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Specifies the method and snapshot to use when restarting an application using previously saved
* application state.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* ApplicationRestoreConfigurationProperty applicationRestoreConfigurationProperty =
* ApplicationRestoreConfigurationProperty.builder()
* .applicationRestoreType("applicationRestoreType")
* // the properties below are optional
* .snapshotName("snapshotName")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationrestoreconfiguration.html)
*/
public inline
fun cfnApplicationV2ApplicationRestoreConfigurationProperty(block: CfnApplicationV2ApplicationRestoreConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.ApplicationRestoreConfigurationProperty {
val builder = CfnApplicationV2ApplicationRestoreConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Describes whether snapshots are enabled for a Flink-based Kinesis Data Analytics application.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* ApplicationSnapshotConfigurationProperty applicationSnapshotConfigurationProperty =
* ApplicationSnapshotConfigurationProperty.builder()
* .snapshotsEnabled(false)
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationsnapshotconfiguration.html)
*/
public inline
fun cfnApplicationV2ApplicationSnapshotConfigurationProperty(block: CfnApplicationV2ApplicationSnapshotConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.ApplicationSnapshotConfigurationProperty {
val builder = CfnApplicationV2ApplicationSnapshotConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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"`
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CSVMappingParametersProperty cSVMappingParametersProperty =
* CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-csvmappingparameters.html)
*/
public inline
fun cfnApplicationV2CSVMappingParametersProperty(block: CfnApplicationV2CSVMappingParametersPropertyDsl.() -> Unit
= {}): CfnApplicationV2.CSVMappingParametersProperty {
val builder = CfnApplicationV2CSVMappingParametersPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CatalogConfigurationProperty catalogConfigurationProperty =
* CatalogConfigurationProperty.builder()
* .glueDataCatalogConfiguration(GlueDataCatalogConfigurationProperty.builder()
* .databaseArn("databaseArn")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-catalogconfiguration.html)
*/
public inline
fun cfnApplicationV2CatalogConfigurationProperty(block: CfnApplicationV2CatalogConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.CatalogConfigurationProperty {
val builder = CfnApplicationV2CatalogConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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/)
* .
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CheckpointConfigurationProperty checkpointConfigurationProperty =
* CheckpointConfigurationProperty.builder()
* .configurationType("configurationType")
* // the properties below are optional
* .checkpointingEnabled(false)
* .checkpointInterval(123)
* .minPauseBetweenCheckpoints(123)
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-checkpointconfiguration.html)
*/
public inline
fun cfnApplicationV2CheckpointConfigurationProperty(block: CfnApplicationV2CheckpointConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.CheckpointConfigurationProperty {
val builder = CfnApplicationV2CheckpointConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Specifies either the application code, or the location of the application code, for a
* Flink-based Kinesis Data Analytics application.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CodeContentProperty codeContentProperty = CodeContentProperty.builder()
* .s3ContentLocation(S3ContentLocationProperty.builder()
* .bucketArn("bucketArn")
* .fileKey("fileKey")
* // the properties below are optional
* .objectVersion("objectVersion")
* .build())
* .textContent("textContent")
* .zipFileContent("zipFileContent")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-codecontent.html)
*/
public inline
fun cfnApplicationV2CodeContentProperty(block: CfnApplicationV2CodeContentPropertyDsl.() -> Unit
= {}): CfnApplicationV2.CodeContentProperty {
val builder = CfnApplicationV2CodeContentPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* The configuration of connectors and user-defined functions.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CustomArtifactConfigurationProperty customArtifactConfigurationProperty =
* CustomArtifactConfigurationProperty.builder()
* .artifactType("artifactType")
* // the properties below are optional
* .mavenReference(MavenReferenceProperty.builder()
* .artifactId("artifactId")
* .groupId("groupId")
* .version("version")
* .build())
* .s3ContentLocation(S3ContentLocationProperty.builder()
* .bucketArn("bucketArn")
* .fileKey("fileKey")
* // the properties below are optional
* .objectVersion("objectVersion")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-customartifactconfiguration.html)
*/
public inline
fun cfnApplicationV2CustomArtifactConfigurationProperty(block: CfnApplicationV2CustomArtifactConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.CustomArtifactConfigurationProperty {
val builder = CfnApplicationV2CustomArtifactConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* The information required to deploy a Kinesis Data Analytics Studio notebook as an application
* with durable state.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* DeployAsApplicationConfigurationProperty deployAsApplicationConfigurationProperty =
* DeployAsApplicationConfigurationProperty.builder()
* .s3ContentLocation(S3ContentBaseLocationProperty.builder()
* .bucketArn("bucketArn")
* // the properties below are optional
* .basePath("basePath")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-deployasapplicationconfiguration.html)
*/
public inline
fun cfnApplicationV2DeployAsApplicationConfigurationProperty(block: CfnApplicationV2DeployAsApplicationConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.DeployAsApplicationConfigurationProperty {
val builder = CfnApplicationV2DeployAsApplicationConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Describes execution properties for a Flink-based Kinesis Data Analytics application.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* EnvironmentPropertiesProperty environmentPropertiesProperty =
* EnvironmentPropertiesProperty.builder()
* .propertyGroups(List.of(PropertyGroupProperty.builder()
* .propertyGroupId("propertyGroupId")
* .propertyMap(Map.of(
* "propertyMapKey", "propertyMap"))
* .build()))
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-environmentproperties.html)
*/
public inline
fun cfnApplicationV2EnvironmentPropertiesProperty(block: CfnApplicationV2EnvironmentPropertiesPropertyDsl.() -> Unit
= {}): CfnApplicationV2.EnvironmentPropertiesProperty {
val builder = CfnApplicationV2EnvironmentPropertiesPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Describes configuration parameters for a Flink-based Kinesis Data Analytics application or a
* Studio notebook.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* FlinkApplicationConfigurationProperty flinkApplicationConfigurationProperty =
* FlinkApplicationConfigurationProperty.builder()
* .checkpointConfiguration(CheckpointConfigurationProperty.builder()
* .configurationType("configurationType")
* // the properties below are optional
* .checkpointingEnabled(false)
* .checkpointInterval(123)
* .minPauseBetweenCheckpoints(123)
* .build())
* .monitoringConfiguration(MonitoringConfigurationProperty.builder()
* .configurationType("configurationType")
* // the properties below are optional
* .logLevel("logLevel")
* .metricsLevel("metricsLevel")
* .build())
* .parallelismConfiguration(ParallelismConfigurationProperty.builder()
* .configurationType("configurationType")
* // the properties below are optional
* .autoScalingEnabled(false)
* .parallelism(123)
* .parallelismPerKpu(123)
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-flinkapplicationconfiguration.html)
*/
public inline
fun cfnApplicationV2FlinkApplicationConfigurationProperty(block: CfnApplicationV2FlinkApplicationConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.FlinkApplicationConfigurationProperty {
val builder = CfnApplicationV2FlinkApplicationConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Describes the starting parameters for a Flink-based Kinesis Data Analytics application.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* FlinkRunConfigurationProperty flinkRunConfigurationProperty =
* FlinkRunConfigurationProperty.builder()
* .allowNonRestoredState(false)
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-flinkrunconfiguration.html)
*/
public inline
fun cfnApplicationV2FlinkRunConfigurationProperty(block: CfnApplicationV2FlinkRunConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.FlinkRunConfigurationProperty {
val builder = CfnApplicationV2FlinkRunConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* GlueDataCatalogConfigurationProperty glueDataCatalogConfigurationProperty =
* GlueDataCatalogConfigurationProperty.builder()
* .databaseArn("databaseArn")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-gluedatacatalogconfiguration.html)
*/
public inline
fun cfnApplicationV2GlueDataCatalogConfigurationProperty(block: CfnApplicationV2GlueDataCatalogConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.GlueDataCatalogConfigurationProperty {
val builder = CfnApplicationV2GlueDataCatalogConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* InputLambdaProcessorProperty inputLambdaProcessorProperty =
* InputLambdaProcessorProperty.builder()
* .resourceArn("resourceArn")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputlambdaprocessor.html)
*/
public inline
fun cfnApplicationV2InputLambdaProcessorProperty(block: CfnApplicationV2InputLambdaProcessorPropertyDsl.() -> Unit
= {}): CfnApplicationV2.InputLambdaProcessorProperty {
val builder = CfnApplicationV2InputLambdaProcessorPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* For a SQL-based Kinesis Data Analytics application, describes the number of in-application
* streams to create for a given streaming source.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* InputParallelismProperty inputParallelismProperty = InputParallelismProperty.builder()
* .count(123)
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputparallelism.html)
*/
public inline
fun cfnApplicationV2InputParallelismProperty(block: CfnApplicationV2InputParallelismPropertyDsl.() -> Unit
= {}): CfnApplicationV2.InputParallelismProperty {
val builder = CfnApplicationV2InputParallelismPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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/) .
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* InputProcessingConfigurationProperty inputProcessingConfigurationProperty =
* InputProcessingConfigurationProperty.builder()
* .inputLambdaProcessor(InputLambdaProcessorProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputprocessingconfiguration.html)
*/
public inline
fun cfnApplicationV2InputProcessingConfigurationProperty(block: CfnApplicationV2InputProcessingConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.InputProcessingConfigurationProperty {
val builder = CfnApplicationV2InputProcessingConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* InputProperty inputProperty = InputProperty.builder()
* .inputSchema(InputSchemaProperty.builder()
* .recordColumns(List.of(RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build()))
* .recordFormat(RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build())
* // the properties below are optional
* .recordEncoding("recordEncoding")
* .build())
* .namePrefix("namePrefix")
* // the properties below are optional
* .inputParallelism(InputParallelismProperty.builder()
* .count(123)
* .build())
* .inputProcessingConfiguration(InputProcessingConfigurationProperty.builder()
* .inputLambdaProcessor(InputLambdaProcessorProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .build())
* .kinesisFirehoseInput(KinesisFirehoseInputProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .kinesisStreamsInput(KinesisStreamsInputProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-input.html)
*/
public inline fun cfnApplicationV2InputProperty(block: CfnApplicationV2InputPropertyDsl.() -> Unit
= {}): CfnApplicationV2.InputProperty {
val builder = CfnApplicationV2InputPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* InputSchemaProperty inputSchemaProperty = InputSchemaProperty.builder()
* .recordColumns(List.of(RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build()))
* .recordFormat(RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build())
* // the properties below are optional
* .recordEncoding("recordEncoding")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputschema.html)
*/
public inline
fun cfnApplicationV2InputSchemaProperty(block: CfnApplicationV2InputSchemaPropertyDsl.() -> Unit
= {}): CfnApplicationV2.InputSchemaProperty {
val builder = CfnApplicationV2InputSchemaPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* For a SQL-based Kinesis Data Analytics application, provides additional mapping information
* when JSON is the record format on the streaming source.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* JSONMappingParametersProperty jSONMappingParametersProperty =
* JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-jsonmappingparameters.html)
*/
public inline
fun cfnApplicationV2JSONMappingParametersProperty(block: CfnApplicationV2JSONMappingParametersPropertyDsl.() -> Unit
= {}): CfnApplicationV2.JSONMappingParametersProperty {
val builder = CfnApplicationV2JSONMappingParametersPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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).
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* KinesisFirehoseInputProperty kinesisFirehoseInputProperty =
* KinesisFirehoseInputProperty.builder()
* .resourceArn("resourceArn")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-kinesisfirehoseinput.html)
*/
public inline
fun cfnApplicationV2KinesisFirehoseInputProperty(block: CfnApplicationV2KinesisFirehoseInputPropertyDsl.() -> Unit
= {}): CfnApplicationV2.KinesisFirehoseInputProperty {
val builder = CfnApplicationV2KinesisFirehoseInputPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Identifies a Kinesis data stream as the streaming source.
*
* You provide the stream's Amazon Resource Name (ARN).
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* KinesisStreamsInputProperty kinesisStreamsInputProperty = KinesisStreamsInputProperty.builder()
* .resourceArn("resourceArn")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-kinesisstreamsinput.html)
*/
public inline
fun cfnApplicationV2KinesisStreamsInputProperty(block: CfnApplicationV2KinesisStreamsInputPropertyDsl.() -> Unit
= {}): CfnApplicationV2.KinesisStreamsInputProperty {
val builder = CfnApplicationV2KinesisStreamsInputPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* MappingParametersProperty mappingParametersProperty = MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-mappingparameters.html)
*/
public inline
fun cfnApplicationV2MappingParametersProperty(block: CfnApplicationV2MappingParametersPropertyDsl.() -> Unit
= {}): CfnApplicationV2.MappingParametersProperty {
val builder = CfnApplicationV2MappingParametersPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* The information required to specify a Maven reference.
*
* You can use Maven references to specify dependency JAR files.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* MavenReferenceProperty mavenReferenceProperty = MavenReferenceProperty.builder()
* .artifactId("artifactId")
* .groupId("groupId")
* .version("version")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-mavenreference.html)
*/
public inline
fun cfnApplicationV2MavenReferenceProperty(block: CfnApplicationV2MavenReferencePropertyDsl.() -> Unit
= {}): CfnApplicationV2.MavenReferenceProperty {
val builder = CfnApplicationV2MavenReferencePropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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) .
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* MonitoringConfigurationProperty monitoringConfigurationProperty =
* MonitoringConfigurationProperty.builder()
* .configurationType("configurationType")
* // the properties below are optional
* .logLevel("logLevel")
* .metricsLevel("metricsLevel")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-monitoringconfiguration.html)
*/
public inline
fun cfnApplicationV2MonitoringConfigurationProperty(block: CfnApplicationV2MonitoringConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.MonitoringConfigurationProperty {
val builder = CfnApplicationV2MonitoringConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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/)
* .
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* ParallelismConfigurationProperty parallelismConfigurationProperty =
* ParallelismConfigurationProperty.builder()
* .configurationType("configurationType")
* // the properties below are optional
* .autoScalingEnabled(false)
* .parallelism(123)
* .parallelismPerKpu(123)
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-parallelismconfiguration.html)
*/
public inline
fun cfnApplicationV2ParallelismConfigurationProperty(block: CfnApplicationV2ParallelismConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.ParallelismConfigurationProperty {
val builder = CfnApplicationV2ParallelismConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Property key-value pairs passed into an application.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* PropertyGroupProperty propertyGroupProperty = PropertyGroupProperty.builder()
* .propertyGroupId("propertyGroupId")
* .propertyMap(Map.of(
* "propertyMapKey", "propertyMap"))
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-propertygroup.html)
*/
public inline
fun cfnApplicationV2PropertyGroupProperty(block: CfnApplicationV2PropertyGroupPropertyDsl.() -> Unit
= {}): CfnApplicationV2.PropertyGroupProperty {
val builder = CfnApplicationV2PropertyGroupPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Properties for defining a `CfnApplication`.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* CfnApplicationV2Props cfnApplicationV2Props = CfnApplicationV2Props.builder()
* .runtimeEnvironment("runtimeEnvironment")
* .serviceExecutionRole("serviceExecutionRole")
* // the properties below are optional
* .applicationConfiguration(ApplicationConfigurationProperty.builder()
* .applicationCodeConfiguration(ApplicationCodeConfigurationProperty.builder()
* .codeContent(CodeContentProperty.builder()
* .s3ContentLocation(S3ContentLocationProperty.builder()
* .bucketArn("bucketArn")
* .fileKey("fileKey")
* // the properties below are optional
* .objectVersion("objectVersion")
* .build())
* .textContent("textContent")
* .zipFileContent("zipFileContent")
* .build())
* .codeContentType("codeContentType")
* .build())
* .applicationSnapshotConfiguration(ApplicationSnapshotConfigurationProperty.builder()
* .snapshotsEnabled(false)
* .build())
* .environmentProperties(EnvironmentPropertiesProperty.builder()
* .propertyGroups(List.of(PropertyGroupProperty.builder()
* .propertyGroupId("propertyGroupId")
* .propertyMap(Map.of(
* "propertyMapKey", "propertyMap"))
* .build()))
* .build())
* .flinkApplicationConfiguration(FlinkApplicationConfigurationProperty.builder()
* .checkpointConfiguration(CheckpointConfigurationProperty.builder()
* .configurationType("configurationType")
* // the properties below are optional
* .checkpointingEnabled(false)
* .checkpointInterval(123)
* .minPauseBetweenCheckpoints(123)
* .build())
* .monitoringConfiguration(MonitoringConfigurationProperty.builder()
* .configurationType("configurationType")
* // the properties below are optional
* .logLevel("logLevel")
* .metricsLevel("metricsLevel")
* .build())
* .parallelismConfiguration(ParallelismConfigurationProperty.builder()
* .configurationType("configurationType")
* // the properties below are optional
* .autoScalingEnabled(false)
* .parallelism(123)
* .parallelismPerKpu(123)
* .build())
* .build())
* .sqlApplicationConfiguration(SqlApplicationConfigurationProperty.builder()
* .inputs(List.of(InputProperty.builder()
* .inputSchema(InputSchemaProperty.builder()
* .recordColumns(List.of(RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build()))
* .recordFormat(RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build())
* // the properties below are optional
* .recordEncoding("recordEncoding")
* .build())
* .namePrefix("namePrefix")
* // the properties below are optional
* .inputParallelism(InputParallelismProperty.builder()
* .count(123)
* .build())
* .inputProcessingConfiguration(InputProcessingConfigurationProperty.builder()
* .inputLambdaProcessor(InputLambdaProcessorProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .build())
* .kinesisFirehoseInput(KinesisFirehoseInputProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .kinesisStreamsInput(KinesisStreamsInputProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .build()))
* .build())
* .vpcConfigurations(List.of(VpcConfigurationProperty.builder()
* .securityGroupIds(List.of("securityGroupIds"))
* .subnetIds(List.of("subnetIds"))
* .build()))
* .zeppelinApplicationConfiguration(ZeppelinApplicationConfigurationProperty.builder()
* .catalogConfiguration(CatalogConfigurationProperty.builder()
* .glueDataCatalogConfiguration(GlueDataCatalogConfigurationProperty.builder()
* .databaseArn("databaseArn")
* .build())
* .build())
* .customArtifactsConfiguration(List.of(CustomArtifactConfigurationProperty.builder()
* .artifactType("artifactType")
* // the properties below are optional
* .mavenReference(MavenReferenceProperty.builder()
* .artifactId("artifactId")
* .groupId("groupId")
* .version("version")
* .build())
* .s3ContentLocation(S3ContentLocationProperty.builder()
* .bucketArn("bucketArn")
* .fileKey("fileKey")
* // the properties below are optional
* .objectVersion("objectVersion")
* .build())
* .build()))
* .deployAsApplicationConfiguration(DeployAsApplicationConfigurationProperty.builder()
* .s3ContentLocation(S3ContentBaseLocationProperty.builder()
* .bucketArn("bucketArn")
* // the properties below are optional
* .basePath("basePath")
* .build())
* .build())
* .monitoringConfiguration(ZeppelinMonitoringConfigurationProperty.builder()
* .logLevel("logLevel")
* .build())
* .build())
* .build())
* .applicationDescription("applicationDescription")
* .applicationMaintenanceConfiguration(ApplicationMaintenanceConfigurationProperty.builder()
* .applicationMaintenanceWindowStartTime("applicationMaintenanceWindowStartTime")
* .build())
* .applicationMode("applicationMode")
* .applicationName("applicationName")
* .runConfiguration(RunConfigurationProperty.builder()
* .applicationRestoreConfiguration(ApplicationRestoreConfigurationProperty.builder()
* .applicationRestoreType("applicationRestoreType")
* // the properties below are optional
* .snapshotName("snapshotName")
* .build())
* .flinkRunConfiguration(FlinkRunConfigurationProperty.builder()
* .allowNonRestoredState(false)
* .build())
* .build())
* .tags(List.of(CfnTag.builder()
* .key("key")
* .value("value")
* .build()))
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-application.html)
*/
public inline fun cfnApplicationV2Props(block: CfnApplicationV2PropsDsl.() -> Unit = {}):
CfnApplicationV2Props {
val builder = CfnApplicationV2PropsDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* RecordColumnProperty recordColumnProperty = RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-recordcolumn.html)
*/
public inline
fun cfnApplicationV2RecordColumnProperty(block: CfnApplicationV2RecordColumnPropertyDsl.() -> Unit
= {}): CfnApplicationV2.RecordColumnProperty {
val builder = CfnApplicationV2RecordColumnPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* RecordFormatProperty recordFormatProperty = RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-recordformat.html)
*/
public inline
fun cfnApplicationV2RecordFormatProperty(block: CfnApplicationV2RecordFormatPropertyDsl.() -> Unit
= {}): CfnApplicationV2.RecordFormatProperty {
val builder = CfnApplicationV2RecordFormatPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Describes the starting parameters for an Kinesis Data Analytics application.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* RunConfigurationProperty runConfigurationProperty = RunConfigurationProperty.builder()
* .applicationRestoreConfiguration(ApplicationRestoreConfigurationProperty.builder()
* .applicationRestoreType("applicationRestoreType")
* // the properties below are optional
* .snapshotName("snapshotName")
* .build())
* .flinkRunConfiguration(FlinkRunConfigurationProperty.builder()
* .allowNonRestoredState(false)
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-runconfiguration.html)
*/
public inline
fun cfnApplicationV2RunConfigurationProperty(block: CfnApplicationV2RunConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.RunConfigurationProperty {
val builder = CfnApplicationV2RunConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* The base location of the Amazon Data Analytics application.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* S3ContentBaseLocationProperty s3ContentBaseLocationProperty =
* S3ContentBaseLocationProperty.builder()
* .bucketArn("bucketArn")
* // the properties below are optional
* .basePath("basePath")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-s3contentbaselocation.html)
*/
public inline
fun cfnApplicationV2S3ContentBaseLocationProperty(block: CfnApplicationV2S3ContentBaseLocationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.S3ContentBaseLocationProperty {
val builder = CfnApplicationV2S3ContentBaseLocationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* The location of an application or a custom artifact.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* S3ContentLocationProperty s3ContentLocationProperty = S3ContentLocationProperty.builder()
* .bucketArn("bucketArn")
* .fileKey("fileKey")
* // the properties below are optional
* .objectVersion("objectVersion")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-s3contentlocation.html)
*/
public inline
fun cfnApplicationV2S3ContentLocationProperty(block: CfnApplicationV2S3ContentLocationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.S3ContentLocationProperty {
val builder = CfnApplicationV2S3ContentLocationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Describes the inputs, outputs, and reference data sources for a SQL-based Kinesis Data
* Analytics application.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* SqlApplicationConfigurationProperty sqlApplicationConfigurationProperty =
* SqlApplicationConfigurationProperty.builder()
* .inputs(List.of(InputProperty.builder()
* .inputSchema(InputSchemaProperty.builder()
* .recordColumns(List.of(RecordColumnProperty.builder()
* .name("name")
* .sqlType("sqlType")
* // the properties below are optional
* .mapping("mapping")
* .build()))
* .recordFormat(RecordFormatProperty.builder()
* .recordFormatType("recordFormatType")
* // the properties below are optional
* .mappingParameters(MappingParametersProperty.builder()
* .csvMappingParameters(CSVMappingParametersProperty.builder()
* .recordColumnDelimiter("recordColumnDelimiter")
* .recordRowDelimiter("recordRowDelimiter")
* .build())
* .jsonMappingParameters(JSONMappingParametersProperty.builder()
* .recordRowPath("recordRowPath")
* .build())
* .build())
* .build())
* // the properties below are optional
* .recordEncoding("recordEncoding")
* .build())
* .namePrefix("namePrefix")
* // the properties below are optional
* .inputParallelism(InputParallelismProperty.builder()
* .count(123)
* .build())
* .inputProcessingConfiguration(InputProcessingConfigurationProperty.builder()
* .inputLambdaProcessor(InputLambdaProcessorProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .build())
* .kinesisFirehoseInput(KinesisFirehoseInputProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .kinesisStreamsInput(KinesisStreamsInputProperty.builder()
* .resourceArn("resourceArn")
* .build())
* .build()))
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-sqlapplicationconfiguration.html)
*/
public inline
fun cfnApplicationV2SqlApplicationConfigurationProperty(block: CfnApplicationV2SqlApplicationConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.SqlApplicationConfigurationProperty {
val builder = CfnApplicationV2SqlApplicationConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Describes the parameters of a VPC used by the application.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* VpcConfigurationProperty vpcConfigurationProperty = VpcConfigurationProperty.builder()
* .securityGroupIds(List.of("securityGroupIds"))
* .subnetIds(List.of("subnetIds"))
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-vpcconfiguration.html)
*/
public inline
fun cfnApplicationV2VpcConfigurationProperty(block: CfnApplicationV2VpcConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.VpcConfigurationProperty {
val builder = CfnApplicationV2VpcConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* The configuration of a Kinesis Data Analytics Studio notebook.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* ZeppelinApplicationConfigurationProperty zeppelinApplicationConfigurationProperty =
* ZeppelinApplicationConfigurationProperty.builder()
* .catalogConfiguration(CatalogConfigurationProperty.builder()
* .glueDataCatalogConfiguration(GlueDataCatalogConfigurationProperty.builder()
* .databaseArn("databaseArn")
* .build())
* .build())
* .customArtifactsConfiguration(List.of(CustomArtifactConfigurationProperty.builder()
* .artifactType("artifactType")
* // the properties below are optional
* .mavenReference(MavenReferenceProperty.builder()
* .artifactId("artifactId")
* .groupId("groupId")
* .version("version")
* .build())
* .s3ContentLocation(S3ContentLocationProperty.builder()
* .bucketArn("bucketArn")
* .fileKey("fileKey")
* // the properties below are optional
* .objectVersion("objectVersion")
* .build())
* .build()))
* .deployAsApplicationConfiguration(DeployAsApplicationConfigurationProperty.builder()
* .s3ContentLocation(S3ContentBaseLocationProperty.builder()
* .bucketArn("bucketArn")
* // the properties below are optional
* .basePath("basePath")
* .build())
* .build())
* .monitoringConfiguration(ZeppelinMonitoringConfigurationProperty.builder()
* .logLevel("logLevel")
* .build())
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-zeppelinapplicationconfiguration.html)
*/
public inline
fun cfnApplicationV2ZeppelinApplicationConfigurationProperty(block: CfnApplicationV2ZeppelinApplicationConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.ZeppelinApplicationConfigurationProperty {
val builder = CfnApplicationV2ZeppelinApplicationConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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) .
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.kinesisanalytics.*;
* ZeppelinMonitoringConfigurationProperty zeppelinMonitoringConfigurationProperty =
* ZeppelinMonitoringConfigurationProperty.builder()
* .logLevel("logLevel")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-zeppelinmonitoringconfiguration.html)
*/
public inline
fun cfnApplicationV2ZeppelinMonitoringConfigurationProperty(block: CfnApplicationV2ZeppelinMonitoringConfigurationPropertyDsl.() -> Unit
= {}): CfnApplicationV2.ZeppelinMonitoringConfigurationProperty {
val builder = CfnApplicationV2ZeppelinMonitoringConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
}
