Interface Summary
Interface	Description
ApplicationCodeConfig	(experimental) The return type of `ApplicationCode.bind`.
ApplicationProps	(experimental) Props for creating an Application construct.
IApplication	(experimental) An interface expressing the public properties on both an imported and CDK-created Flink application.
IApplication.Jsii$Default	Internal default implementation for `IApplication`.
PropertyGroups	(experimental) Interface for building AWS::KinesisAnalyticsV2::Application PropertyGroup configuration.

Class Summary
Class	Description
Application	(experimental) The L2 construct for Flink Kinesis Data Applications.
Application.Builder	(experimental) A fluent builder for `Application`.
ApplicationCode	(experimental) Code configuration providing the location to a Flink application JAR file.
ApplicationCodeConfig.Builder	A builder for `ApplicationCodeConfig`
ApplicationCodeConfig.Jsii$Proxy	An implementation for `ApplicationCodeConfig`
ApplicationProps.Builder	A builder for `ApplicationProps`
ApplicationProps.Jsii$Proxy	An implementation for `ApplicationProps`
IApplication.Jsii$Proxy	A proxy class which represents a concrete javascript instance of this type.
PropertyGroups.Builder	A builder for `PropertyGroups`
PropertyGroups.Jsii$Proxy	An implementation for `PropertyGroups`
Runtime	(experimental) Available Flink runtimes for Kinesis Analytics.

Enum Summary
Enum Description

LogLevel
(experimental) Available log levels for Flink applications.

MetricsLevel
(experimental) Granularity of metrics sent to CloudWatch.

Enum Summary
Enum	Description
LogLevel	(experimental) Available log levels for Flink applications.
MetricsLevel	(experimental) Granularity of metrics sent to CloudWatch.

Package software.amazon.awscdk.services.kinesis.analytics.flink Description

Kinesis Analytics Flink

---

The APIs of higher level constructs in this module are experimental and under active development. They are subject to non-backward compatible changes or removal in any future version. These are not subject to the Semantic Versioning model and breaking changes will be announced in the release notes. This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.

This package provides constructs for creating Kinesis Analytics Flink applications. To learn more about using using managed Flink applications, see the AWS developer guide.

Creating Flink Applications

To create a new Flink application, use the Application construct:

simple flink application

The code property can use fromAsset as shown above to reference a local jar file in s3 or fromBucket to reference a file in s3.

flink application using code from bucket

The propertyGroups property provides a way of passing arbitrary runtime properties to your Flink application. You can use the aws-kinesisanalytics-runtime library to retrieve these properties.

 // Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
 import software.amazon.awscdk.services.kinesis.analytics.flink.*;
 
 Application flinkApp = new Application(this, "Application", new ApplicationProps()
         // ...
         .propertyGroups(new PropertyGroups()
                 .FlinkApplicationProperties(Map.of(
                         "inputStreamName", "my-input-kinesis-stream",
                         "outputStreamName", "my-output-kinesis-stream"))));

Flink applications also have specific configuration for passing parameters when the Flink job starts. These include parameters for checkpointing, snapshotting, monitoring, and parallelism.

 // Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
 import software.amazon.awscdk.services.logs.*;
 
 Object flinkApp = Application.Builder.create(this, "Application")
         .code(flink.ApplicationCode.fromBucket(bucket, "my-app.jar"))
         .runtime(file.Runtime.getFLINK_1_11())
         .checkpointingEnabled(true)// default is true
         .checkpointInterval(cdk.Duration.seconds(30))// default is 1 minute
         .minPausesBetweenCheckpoints(cdk.Duration.seconds(10))// default is 5 seconds
         .logLevel(flink.LogLevel.getERROR())// default is INFO
         .metricsLevel(flink.MetricsLevel.getPARALLELISM())// default is APPLICATION
         .autoScalingEnabled(false)// default is true
         .parallelism(32)// default is 1
         .parallelismPerKpu(2)// default is 1
         .snapshotsEnabled(false)// default is true
         .logGroup(new LogGroup(this, "LogGroup"))
         .build();