Identify out of the box performance config flips for spark-ds
- Dominant language
- Java
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Description
we need to identify out of the box performance flips. Refer to HUDI-2151 for older ticket. But we need to comb through all configs once again and come up with an updated list.
## JIRA info
- Link: https://issues.apache.org/jira/browse/HUDI-4105
- 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
Start by reading HUDI-2151 and the linked HUDI-4105, then inspect the Spark data-source configuration options across the project. Compare the current defaults with the older ticket and document an updated list of out-of-the-box performance flips; completion means the list is reviewed and the available patch is linked or its status is clarified.
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