Add options to control caching in Spark Jobs
未关闭
Conformance
feature
priority: undecided
Standardization
under discussion
- 主要语言
- Scala
- 星标
- 33
- 派生
- 16
- PR 合并指标
- 30 天内没有已合并 PR
描述
## Background
Currently, Standardization and Conformance uses the default caching strategy (provided by `df.cache()`). For some jobs (very big files), different cache modes may be preferrable, including turning off cache altogether.
## Feature
Add an option to Standardization and Conformance to control cache strategy. One of the strategies should be no caching at all.
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