Kafka Streams

Stream processorkafka-streams

Client library for stream processing over Kafka topics with RocksDB local state.

Provider
default
Category
Messaging
Properties · 4 set by this component
propertytypevaluesrequiredkind defaultthis component
checkpointIntervalSecondsinteger—no—▸ 30
exactlyOnceboolean—nofalse▸ false
instancesinteger—no—inherited
lateDataPolicyenumdrop | shift | sidelineno—inherited
managedboolean—nofalseinherited
standbyReplicas · component propertyinteger—no0inherited
stateBackendenummemory | rocksdb | externalnomemory▸ rocksdb
watermarkSecondsinteger—no—inherited
windowingenumnone | event-time | processing-timenonone▸ event-time
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: "kafka-streams", component: "kafka-streams" }
Other Stream processor products · 33
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Source
# yaml-language-server: $schema=../../schema/component.schema.json
# Kafka Streams: client library, event-time by record timestamp, RocksDB state with changelog topics,
# processing.guarantee defaults to at_least_once and commits every 30 seconds.
schemaVersion: "1"
type: "component"
id: "kafka-streams"
kind: "stream-processor"
provider: "default"
docs: "https://kafka.apache.org/documentation/streams/"
defaults:
  windowing: "event-time"
  checkpointIntervalSeconds: 30
  exactlyOnce: false
  stateBackend: "rocksdb"
properties:
  standbyReplicas:
    type: "integer"
    default: 0

The same page as markdown, for an agent: /catalogue/components/kafka-streams.md