Identify out of the box default performance flips for spark-sql
- Dominant language
- Java
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Description
We had HUDI-2151 to track performance flips, but its been 1 year that we combed through all configs. Lets do another round of combing through all configs and come up with a new list to flip.
this ticket specifically tracks spark-sql layer configs.
## JIRA info
- Link: https://issues.apache.org/jira/browse/HUDI-4106
- Type: Improvement
- Epic: https://issues.apache.org/jira/browse/HUDI-3249
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## Comments
15/Sep/22 19:05;alexey.kudinkin;[~shivnarayan] ticket states that there's a patch available, can you please link it here?;;;
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Research direction
Review HUDI-2151 and the linked HUDI-4106 context first, then examine the Spark SQL layer's configuration defaults. Compare the current defaults across the configs and produce a new list of performance settings that should be flipped.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- java, spark
- Domain
- data-engineering, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100