feathr-ai/feathr

Stream features to offline storage

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#530 建立於 2022年7月29日

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 (4 留言) (0 反應) (1 負責人)Scala (1,929 star) (244 fork)batch import
good first issuescala

描述

We now support stream features to online table(Redis).

It's a popular ask by users.

The main code is added by this https://github.com/linkedin/feathr/pull/137. Existing user guide: https://github.com/linkedin/feathr/blob/f3d6ba57425d550f19730403115c0523f6c3ffe6/docs/how-to-guides/streaming-source-ingestion.md.

Difficulty: medium

貢獻者指南

技術棧
scalaredis
領域
backenddata
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
3
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
1-2 days
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
mostly clear
前置要求
Basic understanding of Feathr streaming ingestionFamiliarity with offline storage (e.g., HDFS, S3)Knowledge of Scala and Spark
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
30
研究方向
Review the existing implementation for online storage (Redis) in PR #137 and the streaming source ingestion guide linked in the issue. Identify the code structure for offline sinks and understand the data writing pattern. Investigate how to adapt the streaming pipeline to write to offline storage like HDFS or S3, considering the format and consistency requirements. Check the current assignee's work and any comments for approach consensus.