feathr-ai/feathr

Allow `OUTPUT_PARALLELISM` and `OVERWRITE_MODE` in join output

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#91 opened on Mar 24, 2022

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 (2 comments) (0 reactions) (0 assignees)Scala (1,929 stars) (244 forks)batch import
buggood first issuehelp wanted

Description

Seems it's not honored per this line: https://github.com/linkedin/feathr/blob/main/src/main/scala/com/linkedin/feathr/offline/generation/SparkIOUtils.scala#L21

Contributor guide

Tech stack
scala
Domain
data
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
needs investigation
Prerequisites
Basic ScalaFamiliarity with Spark output modes
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
25
Research direction
Start by examining the referenced line (SparkIOUtils.scala:21) and trace how OUTPUT PARALLELISM and OVERWRITE MODE are currently handled in the output path. Check if similar settings are applied in other parts of the Feathr codebase, such as for non join outputs. Review any existing tests or comments in the issue to understand the expected behavior. If possible, look at recent commits or PRs that might have addressed this partially.