Amazon Managed Service for Apache Flink
Managed Apache Flink cluster that runs stateful stream processing applications with checkpointing and automatic scaling.
- Provider
- aws
- Kind
- Stream processor
- Category
- Messaging
- Also known as
- Kinesis Data Analytics
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| apiFlavour | enum | datastream | table | sql | studio-notebook | no | datastream | inherited |
| autoScaling | boolean | — | no | true | inherited |
| checkpointIntervalSeconds | integer | — | no | — | ▸ 60 |
| exactlyOnce | boolean | — | no | false | ▸ true |
| instances | integer | — | no | — | ▸ 1 |
| lateDataPolicy | enum | drop | shift | sideline | no | — | inherited |
| managed | boolean | — | no | false | ▸ true |
| minPauseBetweenCheckpointsMs | integer | — | no | 5000 | inherited |
| parallelismPerKpu | integer | — | no | 1 | inherited |
| stateBackend | enum | memory | rocksdb | external | no | memory | inherited |
| watermarkSeconds | integer | — | no | — | inherited |
| windowing | enum | none | event-time | processing-time | no | none | inherited |
Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.
windowed-aggregation-without-watermark
Event-time windows need a watermark to know when a window is complete. Without one the processor either waits forever or closes windows early and silently drops late events.
- — all of these hold:
- — the node's `windowing` is "event-time"
- — the node's `watermarkSeconds` has no value
nodes:
- { id: "managed-flink", component: "aws-managed-flink" }Realtime Compute for Apache Flinkalibaba-flinkAmazon EventBridge Pipesaws-eventbridge-pipesAmazon Data Firehoseaws-firehoseAmazon OpenSearch Ingestionaws-opensearch-ingestionAzure Stream Analyticsazure-stream-analyticsCloudflare Logpushcloudflare-logpushCloudflare Pipelinescloudflare-pipelinesArroyoarroyoApache BeambeamBytewaxbytewaxDrasidrasiApache FlinkflinkKafka Streamskafka-streamsksqlDBksqldbLogstashlogstashMaterializematerializeApache NiFinifiNorikranorikraRedpanda Connectredpanda-connectRisingWaverisingwaveApache SamzasamzaSnowplowsnowplowSpark Structured Streamingspark-streamingApache StormstormGeneric stream processorstream-processorTremortremorGoogle Cloud Dataflowgoogle-dataflowManufacturing Data Enginegoogle-manufacturing-data-engineActivity Tracker Event Routingibm-activity-tracker-event-routingIBM Cloud Logs Routingibm-logs-routingIBM Cloud Metrics Routingibm-metrics-routingOCI Connector Huboci-connector-hubOCI GoldenGate Stream Analyticsoci-goldengate-stream-analytics
# yaml-language-server: $schema=../../schema/component.schema.json # Amazon Managed Service for Apache Flink: single-tenant Flink cluster run by AWS across # Availability Zones. "Implement fault tolerance" gives the DEFAULT checkpoint configuration # (enabled, 60000 ms interval, 5000 ms minimum pause); "Implement application scaling" gives # Parallelism 1, ParallelismPerKPU 1 and automatic scaling enabled by default. schemaVersion: "1" type: "component" id: "aws-managed-flink" kind: "stream-processor" provider: "aws" docs: "https://docs.aws.amazon.com/managed-flink/latest/java/how-fault.html" aliases: ["Kinesis Data Analytics"] defaults: managed: true checkpointIntervalSeconds: 60 exactlyOnce: true instances: 1 properties: parallelismPerKpu: type: "integer" default: 1 autoScaling: type: "boolean" default: true minPauseBetweenCheckpointsMs: type: "integer" default: 5000 apiFlavour: type: "enum" values: ["datastream", "table", "sql", "studio-notebook"] default: "datastream"