feast-dev/feast

Loading 600K features from a parquet file

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#4,589 opened on Sep 30, 2024

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 (5 comments) (0 reactions) (1 assignee)Python (5,029 stars) (896 forks)batch import
good first issuekind/bugpriority/p2wontfix

Description

Context

Given the sample files from the OpenShift AI tutorial - Fraud detection example, repo link, including 600,000 rows modelling a fraud detection dataset.

Objective

I want to model the same training dataset as a Feast offline store using a FileSource and then fetch all the historical features at once.

See all the details to replicate the issue here: https://github.com/dmartinol/feast_issue_600K

Contributor guide

Tech stack
pythonpandas
Domain
datamachine learning
Issue type
bug
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.
active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
mostly clear
Prerequisites
Understanding of Feast's FileSourceExperience with large parquet datasetsKnowledge of Python and pandas
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
40
Research direction
Review the reproduction repository at https://github.com/dmartinol/feast issue 600K for exact steps and configuration. Investigate the Feast FileSource and offline store code in the feast dev/feast repository, specifically the handling of parquet files with many columns. Check any comments in the issue for additional context from the assignee.