feathr-ai/feathr

[BUG] "csv" output format get_offline_features doesn't include the header (feature names).

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#811 创建于 2022年11月1日

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 (0 评论) (0 反应) (0 负责人)Scala (1,929 star) (244 fork)batch import
buggood first issue

描述

Willingness to contribute

No. I cannot contribute a bug fix at this time.

Feathr version

0.8.0

System information

  • OS Platform and Distribution (e.g., Linux Ubuntu 20.0): Ubuntu 20
  • Python version: 3.10

Describe the problem

get_offline_features with the output format to be csv returns csv files without headers so that all the column names get lost including the feature names.

Tracking information

No response

Code to reproduce bug

No response

What component(s) does this bug affect?

  • Python Client: This is the client users use to interact with most of our API. Mostly written in Python.
  • Computation Engine: The computation engine that execute the actual feature join and generation work. Mostly in Scala and Spark.
  • Feature Registry API: The frontend API layer supports SQL, Purview(Atlas) as storage. The API layer is in Python(FAST API)
  • Feature Registry Web UI: The Web UI for feature registry. Written in React

贡献者指南

技术栈
pythonscala
领域
data
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。
half day
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。
stale
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
Basic knowledge of FeathrPythonScala/Spark
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。
50
研究方向
The bug is that CSV output from get offline features lacks headers. Look in the computation engine (Scala/Spark) for code that writes CSV files, likely in the Spark job logic. Also check the Python client that triggers the job to see if headers are expected. Since no reproduction steps are provided, you may need to set up a minimal Feathr example to replicate the issue. Examine the output path and the method that serializes features to CSV.