Caching of DataFrame between processing phases
Open
cloud
Conformance
feature
priority: undecided
Standardization
under discussion
- Dominant language
- Scala
- Stars
- 33
- Forks
- 16
- PR merge metrics
- No merged PRs in 30d
Description
## 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/
Contributor guide
Assessment
This issue has not been assessed yet.