feathr-ai/feathr

Allow `OUTPUT_PARALLELISM` and `OVERWRITE_MODE` in join output

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#91 创建于 2022年3月24日

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 (2 评论) (0 反应) (0 负责人)Scala (1,929 star) (244 fork)batch import
buggood first issuehelp wanted

描述

Seems it's not honored per this line: https://github.com/linkedin/feathr/blob/main/src/main/scala/com/linkedin/feathr/offline/generation/SparkIOUtils.scala#L21

贡献者指南

技术栈
scala
领域
data
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。
1-3 hours
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。
needs investigation
前置要求
Basic ScalaFamiliarity with Spark output modes
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。
25
研究方向
Start by examining the referenced line (SparkIOUtils.scala:21) and trace how OUTPUT PARALLELISM and OVERWRITE MODE are currently handled in the output path. Check if similar settings are applied in other parts of the Feathr codebase, such as for non join outputs. Review any existing tests or comments in the issue to understand the expected behavior. If possible, look at recent commits or PRs that might have addressed this partially.
Allow `OUTPUT_PARALLELISM` and `OVERWRITE_MODE` in join output · feathr-ai/feathr#91 | Good First Issue