linkedin / linkedin/transport

Add support for flink udfs

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#5 4 comments 0 reactions 0 assignees View on GitHub

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Dominant language
Java
Stars
306
Forks
75
PR merge metrics
No merged PRs in 30d

Description

I think transport is an excellent project which lets us use the same udf implementation across various query engines. This is a request to add support for flink udfs which would increase the usability of this project for stream compute use cases as well.

Contributor guide

Open the contributing guide

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 by reviewing the repository’s existing UDF support for Spark, Hive, and Presto, then compare the linked Flink UDF guidance. Define the required Flink integration and verify that the same UDF implementation remains portable across engines.

Written by the indexing model from the issue text.

Assessment

Tech stack
java
Domain
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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