AbsaOSS / AbsaOSS/enceladus

Dynamic conformance on streaming sources

Abierto
#1,013 0 comentarios 0 reacciones 1 asignado Reclamado por @yruslan Ver en GitHub
Epic feature priority: high Streaming
Lenguaje dominante
Scala
Estrellas
33
Forks
16
Métricas de merge de PR
Sin PR fusionados en 30 d

Descripción

## Background
_(Based on the investigation done in #897)_

Conforming streaming sources is something we would like to have. Although Spark API is similar for batch and stream processing, they are not the same. There is a number of issues we identified when trying to run Conformance on a streaming source.

## Epic
We need to investigate possibilities and implement missing pieces in order to support streaming sources in DCE jobs.
* Implement an ability to run DCE on streaming sources. Add configuration parameters for streaming jobs, like a checkpoint location, etc.
* Implement a streaming-friendly conformance mapping rule. Possibly use a mapping table broadcast approach.
* Implement a streaming-friendly control framework (in Atum).

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