See: Description
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$Default |
Internal default implementation for
IApplication . |
PropertyGroups |
(experimental) Interface for building AWS::KinesisAnalyticsV2::Application PropertyGroup configuration.
|
Class | Description |
---|---|
Application |
(experimental) The L2 construct for Flink Kinesis Data Applications.
|
Application.Builder |
(experimental) A fluent builder for
Application . |
ApplicationCode |
(experimental) Code configuration providing the location to a Flink application JAR file.
|
ApplicationCodeConfig.Builder |
A builder for
ApplicationCodeConfig |
ApplicationCodeConfig.Jsii$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 | Description |
---|---|
LogLevel |
(experimental) Available log levels for Flink applications.
|
MetricsLevel |
(experimental) Granularity of metrics sent to CloudWatch.
|
---
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 This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.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.
To create a new Flink application, use the Application
construct:
import path.*; import software.amazon.awscdk.core.*; import software.amazon.awscdk.services.kinesis.analytics.flink.*; import software.amazon.awscdk.services.cloudwatch.*; App app = new App(); Stack stack = new Stack(app, "FlinkAppTest"); Application flinkApp = Application.Builder.create(stack, "App") .code(ApplicationCode.fromAsset(join(__dirname, "code-asset"))) .runtime(Runtime.FLINK_1_11) .build(); Alarm.Builder.create(stack, "Alarm") .metric(flinkApp.metricFullRestarts()) .evaluationPeriods(1) .threshold(3) .build(); app.synth();
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.
import path.*; import software.amazon.awscdk.services.s3.assets.*; import software.amazon.awscdk.core.*; import software.amazon.awscdk.services.kinesis.analytics.flink.*; App app = new App(); Stack stack = new Stack(app, "FlinkAppCodeFromBucketTest"); Asset asset = Asset.Builder.create(stack, "CodeAsset") .path(join(__dirname, "code-asset")) .build(); IBucket bucket = asset.getBucket(); String fileKey = asset.getS3ObjectKey(); Application.Builder.create(stack, "App") .code(ApplicationCode.fromBucket(bucket, fileKey)) .runtime(Runtime.FLINK_1_11) .build(); app.synth();
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.
Bucket bucket; Application flinkApp = Application.Builder.create(this, "Application") .propertyGroups(PropertyGroups.builder() .FlinkApplicationProperties(Map.of( "inputStreamName", "my-input-kinesis-stream", "outputStreamName", "my-output-kinesis-stream")) .build()) // ... .runtime(Runtime.FLINK_1_13) .code(ApplicationCode.fromBucket(bucket, "my-app.jar")) .build();
Flink applications also have specific configuration for passing parameters when the Flink job starts. These include parameters for checkpointing, snapshotting, monitoring, and parallelism.
Bucket bucket; Application flinkApp = Application.Builder.create(this, "Application") .code(ApplicationCode.fromBucket(bucket, "my-app.jar")) .runtime(Runtime.FLINK_1_13) .checkpointingEnabled(true) // default is true .checkpointInterval(Duration.seconds(30)) // default is 1 minute .minPauseBetweenCheckpoints(Duration.seconds(10)) // default is 5 seconds .logLevel(LogLevel.ERROR) // default is INFO .metricsLevel(MetricsLevel.PARALLELISM) // 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();