feathr-ai/feathr

Stream features to offline storage

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Aperta il 29 lug 2022

Vedi su GitHub
 (4 commenti) (0 reazioni) (1 assegnatario)Scala (1929 star) (244 fork)batch import
good first issuescala

Descrizione

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

Guida contributor

Tech stack
scalaredis
Dominio
backenddata
Tipo issue
feature
DifficoltàQuanto dovrebbe essere impegnativa per un nuovo contributor.
3
Tempo stimatoTempo stimato per completare e verificare uno scope piccolo.
1-2 days
Stato attivitàQuanto è probabile che la issue sia ancora attiva e reviewable.
stale
ChiarezzaQuanto chiaramente la issue descrive problema, scope e risultato atteso.
mostly clear
Prerequisiti
Basic understanding of Feathr streaming ingestionFamiliarity with offline storage (e.g., HDFS, S3)Knowledge of Scala and Spark
Adatta ai principiantiQuanto la issue è adatta a contributor alla prima esperienza.
30
Direzione di ricerca
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.