feathr-ai/feathr

Stream features to offline storage

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#530 opened on Jul 29, 2022

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 (4 comments) (0 reactions) (1 assignee)Scala (1,929 stars) (244 forks)batch import
good first issuescala

Description

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

Contributor guide

Tech stack
scalaredis
Domain
backenddata
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.
mostly clear
Prerequisites
Basic understanding of Feathr streaming ingestionFamiliarity with offline storage (e.g., HDFS, S3)Knowledge of Scala and Spark
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30
Research direction
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.