4paradigm / 4paradigm/OpenMLDB
online performance with long window optimization degrades after upgrade
- Langage dominant
- C++
- Étoiles
- 1.7k
- Forks
- 331
- Merge moyen
- 12 j 12 h
- PR mergées (30 j)
- 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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Guide de contribution
Ouvrir le guide de contribution
Piste de recherche
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.
Rédigé par le modèle d'indexation à partir du texte de l'issue.
Évaluation
- Stack technique
- databases, machine-learning
- Domaine
- databases, machine-learning, performance
- Type d'issue
- Bug
- Difficulté
- 4/5
- Temps estimé
- 3-5 jours
- Activité
- À l'abandon
- Clarté
- À clarifier
- Accessibilité débutants
- 25/100