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]: provide option for explicit schema data types for batch input sources and callable functions #31280

Open
2 of 16 tasks
ewanzhang-google opened this issue May 13, 2024 · 0 comments

Comments

@ewanzhang-google
Copy link

What would you like to happen?

In a few scenarios beam has failed to interpret the data type, these include:

  1. a source coming from BigQuery table, the unique id column with alphanumeric value (type string) or a timestamp column with millisecond integer value (type string) can't be decoded
  2. a python callable function that create a new column, the column type can't be decoded even when it's explicitly casted in the function body

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: 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

1 participant