AsyncAPI channel · DataHub · DataHub Actions Framework Events

MetadataChangeLog_Timeseries_v1

Kafka topic for time-series aspect changes. Emitted when any time-series aspect on the DataHub metadata graph is created or updated. Time-series aspects carry timestamps and are stored in search indexes. Examples include dataset profiles, data quality assertions, and usage statistics.

Provider: DataHub AsyncAPI: v2.6.0 Spec: DataHub Actions Framework Events Operations: 1 Messages: 1

Channel address

MetadataChangeLog_Timeseries_v1

Operations

onTimeseriesMetadataChange
Receive time-series metadata change log events

Messages

MetadataChangeLogEvent_v1
Emitted when any aspect on the DataHub metadata graph is changed.
Content-Type: application/json

About AsyncAPI

The AsyncAPI specification describes event-driven APIs the way OpenAPI describes request/response APIs. A channel is the named pipe — a webhook URL, a Kafka topic, a WebSocket route, an MQTT subject — that producers and consumers publish or subscribe to. Each channel carries one or more messages with structured payloads, and an operation declares whether a given party sends or receives on that channel.

Browse every event-driven channel on the APIs.io network or compare with the broader Naftiko capability, Agent Skill, and MCP server surfaces of the same providers.