feast-dev/feast

Loading 600K features from a parquet file

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#4,589 创建于 2024年9月30日

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 (5 评论) (0 反应) (1 负责人)Python (5,029 star) (896 fork)batch import
good first issuekind/bugpriority/p2wontfix

描述

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

贡献者指南

技术栈
pythonpandas
领域
datamachine learning
议题类型
bug
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-3 hours
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
active
清晰度议题是否清楚说明期望改动、验收标准和下一步。
mostly clear
前置要求
Understanding of Feast's FileSourceExperience with large parquet datasetsKnowledge of Python and pandas
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
40
研究方向
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.
Loading 600K features from a parquet file · feast-dev/feast#4589 | Good First Issue