linkedin / linkedin/spark-tfrecord

Any plans for Spark 4?

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#74 1 comment 0 reactions 0 assignees View on GitHub

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Dominant language
Scala
Stars
300
Forks
57
PR merge metrics
No merged PRs in 30d

Description

This issue has no description.

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 current Spark and Scala compatibility and how it reads and writes TensorFlow TFRecord data. Confirm what Spark 4 support would require and define the compatibility checks or changes needed; done should mean Spark 4 support is clearly specified and verified.

Written by the indexing model from the issue text.

Assessment

Tech stack
scala, spark
Domain
data, distributed-systems
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
25/100

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