Data partitioning
Ouverte
Conformance
Epic
Menas
priority: high
Standardization
- Langage dominant
- Scala
- Étoiles
- 33
- Forks
- 16
- Métriques de merge des PR
- Aucune PR mergée en 30 j
Description
## Background
Sometimes the data coming in into Enceladus are not well partitioned.
## Goal
Make Enceladus to output data files in effective sizes to well leverage partioning
## Expected Task List
A list of expected issues that will be needed to achieve this Epic
- investigate the problematic data
- create the library
- enhance dataset data model with `recordsPerPartition` value
- optional dataset setting
- heuristic based on anylysis to be saved
- implement partitioning by record count
- warning if partition size is over limit
- warning if record count is off
Guide de contribution
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Évaluation
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