Spark Structured Streaming

Micro-batch stream processing on Apache Spark with checkpointed state.

Provider: default
Kind: Stream processor
Category: Messaging
Official docs: https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html

Properties · 3 set by this component

property	type	values	required	kind default	this component
checkpointIntervalSeconds	integer	—	no	—	inherited
exactlyOnce	boolean	—	no	false	▸ false
instances	integer	—	no	—	inherited
lateDataPolicy	enum	drop \| shift \| sideline	no	—	inherited
managed	boolean	—	no	false	inherited
stateBackend	enum	memory \| rocksdb \| external	no	memory	▸ memory
triggerIntervalMs · component property	integer	—	no	—	inherited
watermarkSeconds	integer	—	no	—	inherited
windowing	enum	none \| event-time \| processing-time	no	none	▸ processing-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.

Event-time windows without watermarkwarning

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: "spark-streaming", component: "spark-streaming" }

Other Stream processor products · 33

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Source

1# yaml-language-server: $schema=../../schema/component.schema.json
2# Spark Structured Streaming: micro-batch engine triggered on processing time; sinks are at-least-once
3# unless idempotent, state lives in executor memory backed by checkpoint files.
4schemaVersion: "1"
5type: "component"
6id: "spark-streaming"
7kind: "stream-processor"
8provider: "default"
9docs: "https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html"
10defaults:
11  windowing: "processing-time"
12  exactlyOnce: false
13  stateBackend: "memory"
14properties:
15  triggerIntervalMs:
16    type: "integer"

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