aehrc / aehrc/pathling

Kafka consumer

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new feature server
Dominant language
Java
Stars
134
Forks
24
Avg merge
1d 15h
Merged PRs (30d)
8

Description

Spark has native functionality for consuming data from a Kafka source, see Structured Streaming + Kafka Integration Guide.

It would be great if a Pathling server could be configured to enable streaming newly created or updated FHIR resources from a Kafka source, and writing them to the appropriate Delta tables.

This would primarily serve the use case of keeping a Pathling server synchronised with another source of FHIR data.

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with Spark's Structured Streaming + Kafka Integration Guide and the Pathling server configuration and Delta table integration points. Define how newly created or updated FHIR resources should be consumed from Kafka, mapped to the appropriate Delta tables, and used to keep a server synchronized with another FHIR source.

Written by the indexing model from the issue text.

Assessment

Tech stack
kafka, spark
Domain
data-engineering, stream-processing
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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