feathr-ai/feathr

API to query features materialized to offline

Open

#289 建立於 2022年5月20日

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 (3 留言) (2 反應) (0 負責人)Scala (1,929 star) (244 fork)batch import
good first issue

描述

Today for features materialized to online(Redis), we provide a simple API to query it.

Some users may want to materialize features to offline store(delta lake) and query it later on. This API doesn't exist yet.

We should add this API so users can query features generated by Feathr.

The API should be consistent with online API:

    res = client.get_online_features(online_test_table, '265', [
                                     'f_location_avg_fare', 'f_location_max_fare'])

    res = client.multi_get_online_features(online_test_table,
                                           ['239', '265'],
                                           ['f_location_avg_fare', 'f_location_max_fare'])

The API can be like(this is still up for discussion):

feathrClient.getFeatures([f1, f2], feature_table)

feathrClient.joinFeature([f1, f2], feature_table, observation_table)

貢獻者指南

技術棧
pythonscala
領域
apidatabackend
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。
4
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。
3-5 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
Feathr online API knowledgeDelta Lake understandingPython client development
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
The issue proposes adding two new APIs to the Python client: getFeatures and joinFeature. The implementation should follow the pattern of the existing online API (get online features, multi get online features). Look at the Feathr client source code, particularly the online query implementation, to understand the required remote calls. Since the offline store is Delta Lake, incorporate Spark or Delta Lake reading logic. Review the discussion in the issue comments for additional requirements.
API to query features materialized to offline · feathr-ai/feathr#289 | Good First Issue