feathr-ai/feathr

Add on-prem Spark as a launcher

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#449 opened on Jul 9, 2022

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 (0 comments) (0 reactions) (0 assignees)Scala (1,929 stars) (244 forks)batch import
featurehelp wanted

Description

Currently Feathr is using cloud based spark service (Azure synapse/Databricks) as runtime, and adding on-prem spark should be straightforward by adding an additional launcher here: https://github.com/linkedin/feathr/tree/main/feathr_project/feathr/spark_provider

Contributor guide

Tech stack
pythonspark
Domain
backendinfrastructuredata
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.
1-2 days
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.
clear
Prerequisites
PythonApache Spark basicsFamiliarity with Feathr launchers
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60
Research direction
Review existing launchers in https://github.com/linkedin/feathr/tree/main/feathr project/feathr/spark provider to understand the interface. Implement a new launcher class (e.g., 'OnPremSparkLauncher') that initializes a local Spark session using spark submit or programmatic SparkContext. Ensure compatibility with Feathr's job submission flow, and add tests. Check if any existing PRs or comments provide additional guidance.