Amazon EventBridge Pipes
Managed point-to-point pipe from a polled source through optional filtering and enrichment to a single target.
- Provider
- aws
- Kind
- Stream processor
- Category
- Messaging
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| checkpointIntervalSeconds | integer | — | no | — | inherited |
| enrichment | boolean | — | no | false | inherited |
| exactlyOnce | boolean | — | no | false | ▸ false |
| filtering | boolean | — | no | false | inherited |
| instances | integer | — | no | — | inherited |
| lateDataPolicy | enum | drop | shift | sideline | no | — | inherited |
| managed | boolean | — | no | false | ▸ true |
| maxExecutionMinutes | integer | — | no | 5 | inherited |
| partialBatchFailure | boolean | — | no | true | inherited |
| sourceType | enum | sqs | kinesis | dynamodb-stream | kafka | amazon-mq | no | sqs | inherited |
| stateBackend | enum | memory | rocksdb | external | no | memory | inherited |
| watermarkSeconds | integer | — | no | — | inherited |
| windowing | enum | none | event-time | processing-time | no | none | ▸ none |
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: "eventbridge-pipes", component: "aws-eventbridge-pipes" }Realtime Compute for Apache Flinkalibaba-flinkAmazon Data Firehoseaws-firehoseAmazon Managed Service for Apache Flinkaws-managed-flinkAmazon 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 EventBridge Pipes: managed point-to-point pipe from one polled source, through optional # filtering and enrichment, to one target. "Amazon EventBridge Pipes batching and concurrency" # caps a pipe execution at 5 minutes and gives partial batch failure retries for SQS and stream # sources; "Data protection in Amazon EventBridge" says events flowing through a pipe are never # stored at rest, so a pipe holds no processing state. schemaVersion: "1" type: "component" id: "aws-eventbridge-pipes" kind: "stream-processor" provider: "aws" docs: "https://docs.aws.amazon.com/eventbridge/latest/userguide/eb-pipes.html" defaults: managed: true windowing: "none" exactlyOnce: false properties: sourceType: type: "enum" values: ["sqs", "kinesis", "dynamodb-stream", "kafka", "amazon-mq"] default: "sqs" filtering: type: "boolean" default: false enrichment: type: "boolean" default: false partialBatchFailure: type: "boolean" default: true maxExecutionMinutes: type: "integer" default: 5