Caching of DataFrame between processing phases
オープン
cloud
Conformance
feature
priority: undecided
Standardization
under discussion
- 主要言語
- Scala
- スター
- 33
- フォーク
- 16
- PR マージ指標
- 30日以内にマージされた PR はありません
説明
## Background
Right now, based on #1538, the DataFrame is re-read between each phase. This is potentially ineffective and results it extra IO (possible extra cost in cloud)
## Feature
Investigate and eventually implement some Spark caching strategy resistant to node failure.
## Proposed Solution
This might be a source reading for possible solution
https://sparkbyexamples.com/spark/spark-dataframe-cache-and-persist-explained/
コントリビューションガイド
評価
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