alibaba/GraphScope

[GLE] Explicitly build the training client using the GLE server handle

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#2,738 建立於 2023年5月25日

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component:glegood first issue

描述

A graph object is returned after the GLE servers are launched, which is further used to build the client that the training worker uses to communicate with the GLE servers. While in distributed training（multiple training workers), we need to first get the handle of the graph (including the schema info, service IP and port), and use these information to build client in the training side. This issue is to add APIs and implementations to ease the process of explicitly building the training client using the GLE server handle.

貢獻者指南

技術棧
pythoncpp
領域
backendapimachine learning
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。
blocked
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
clear
前置要求
Distributed systems understandingPython programmingFamiliarity with GraphScope GLE
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。
20
研究方向
Review the existing GLE server handle object to understand its structure. Look at the current client building process for single worker training. Then design an API to extract handle information (schema, IP, port) and expose it. Check any existing similar APIs in the codebase. Consider the comments in the issue for guidance.
[GLE] Explicitly build the training client using the GLE server handle · alibaba/GraphScope#2738 | Good First Issue