Implement parallelized (approximate) mode
Open
core
dataframe
improvement
P3
python
- Dominant language
- Java
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- Avg merge
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Description
Currently we require Singleton partitioning to compute mode(). We should provide an option to compute approximate mode() which can be parallelized.
Imported from Jira [BEAM-12181](https://issues.apache.org/jira/browse/BEAM-12181). Original Jira may contain additional context.
Reported by: bhulette.
Contributor guide
Research direction
No file or test is named in the issue. Start by locating the existing mode() implementation and its tests, then read the linked BEAM-12181 Jira issue for additional context; done means an approximate mode option is available without requiring Singleton partitioning and its behavior is covered by tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- java
- Domain
- data-engineering, distributed-systems
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100