4paradigm / 4paradigm/OpenMLDB
online performance with long window optimization degrades after upgrade
- Dominant language
- C++
- Stars
- 1.7k
- Forks
- 331
- Avg merge
- 12d 12h
- Merged PRs (30d)
- 1
Description
**Bug Description**
- online performance with long window optimization degrades after upgrade
- after re-deployment, the performance looks normal
**Expected Behavior**
**Relation Case**
**Steps to Reproduce**
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Contributor guide
Research direction
The issue mentions 'long window optimization' and performance degradation after an upgrade. Start by examining recent changes to the windowing logic in the codebase, particularly around performance-critical paths. Look for any related tests or benchmarks that measure online performance. The goal is to identify what changed in the upgrade that caused the regression and verify that a re-deployment temporarily fixes it.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- databases, machine-learning
- Domain
- databases, machine-learning, performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100