4paradigm / 4paradigm/OpenMLDB
online performance with long window optimization degrades after upgrade
Abierto
bug
- Lenguaje dominante
- C++
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Descripción
**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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Guía de contribución
Línea de trabajo
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.
Escrito por el modelo de indexación a partir del texto del issue.
Evaluación
- Stack tecnológico
- databases, machine-learning
- Área
- databases, machine-learning, performance
- Tipo de issue
- Error
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Estado de actividad
- Estancado
- Claridad
- Necesita aclaración
- Aptitud para principiantes
- 25/100