Amazon Managed Service for Apache Flink

awsStream processoraws-managed-flink

Managed Apache Flink cluster that runs stateful stream processing applications with checkpointing and automatic scaling.

Provider
aws
Category
Messaging
Also known as
Kinesis Data Analytics
Properties · 4 set by this component
propertytypevaluesrequiredkind defaultthis component
apiFlavour · component propertyenumdatastream | table | sql | studio-notebooknodatastreaminherited
autoScaling · component propertyboolean—notrueinherited
checkpointIntervalSecondsinteger—no—▸ 60
exactlyOnceboolean—nofalse▸ true
instancesinteger—no—▸ 1
lateDataPolicyenumdrop | shift | sidelineno—inherited
managedboolean—nofalse▸ true
minPauseBetweenCheckpointsMs · component propertyinteger—no5000inherited
parallelismPerKpu · component propertyinteger—no1inherited
stateBackendenummemory | rocksdb | externalnomemoryinherited
watermarkSecondsinteger—no—inherited
windowingenumnone | event-time | processing-timenononeinherited
Rules that apply · 1

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
Use it in a design
nodes:
  - { id: "managed-flink", component: "aws-managed-flink" }
Other Stream processor products · 33
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Source
# 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"

The same page as markdown, for an agent: /catalogue/components/aws-managed-flink.md