Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[Feature Request]: {Managed IO Iceberg} - Allow users to run streaming reads #33092

Open
1 of 17 tasks
eder001 opened this issue Nov 12, 2024 · 0 comments
Open
1 of 17 tasks

Comments

@eder001
Copy link

eder001 commented Nov 12, 2024

What would you like to happen?

Icerberg users normally look for implement real-time pipeline tracking and consuming new data inserted to a Iceberg Table. Today, Spark can read in streaming using Spark Structured Streaming (through Iceberg Snapshots) so any new data loaded to an iceberg table is automatically identify and read by a Spark streaming job helping users to implement a real-time ingestion on a medallion architecture.

Issue Priority

Priority: 2 (default / most feature requests should be filed as P2)

Issue Components

  • Component: Python SDK
  • Component: Java SDK
  • Component: Go SDK
  • Component: Typescript SDK
  • Component: IO connector
  • Component: Beam YAML
  • Component: Beam examples
  • Component: Beam playground
  • Component: Beam katas
  • Component: Website
  • Component: Infrastructure
  • Component: Spark Runner
  • Component: Flink Runner
  • Component: Samza Runner
  • Component: Twister2 Runner
  • Component: Hazelcast Jet Runner
  • Component: Google Cloud Dataflow Runner
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

2 participants