vespa-engine/vespa

Support feeding from Spark

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#9,158 创建于 2019年4月23日

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 (6 评论) (0 反应) (0 负责人)Java (4,948 star) (561 fork)batch import
enhancementgood first issue

描述

Today, the Hadoop integration tools for Vespa support Hadoop and Pig for feeding and querying Vespa. The Pig feeder is a thin wrapper around the Vespa HTTP client.

We should support feeding directly from Spark as well, to avoid Spark pipelines having to write to HDFS and run another Pig job for the actual feeding. Similarly to the Pig feeder, this could be implemented as a thin wrapper around the HTTP client.

贡献者指南

技术栈
javarest api
领域
backenddata
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
3-5 days
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
clear
前置要求
Familiarity with SparkUnderstanding of Vespa HTTP clientJava development experience
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
40
研究方向
Review the existing Hadoop integration in the vespa hadoop directory and the Vespa HTTP client documentation. Identify the key components used in the Pig feeder wrapper and adapt them for Spark. Consider how to handle data ingestion in parallel and error handling. Look at comments in the issue for any additional requirements or constraints.