4paradigm / 4paradigm/OpenMLDB
online performance with long window optimization degrades after upgrade
- Lingua principale
- C++
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Descrizione
**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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Guida per i contributori
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Direzione di ricerca
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.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Valutazione
- Stack tecnologico
- databases, machine-learning
- Ambito
- databases, machine-learning, performance
- Tipo di issue
- Bug
- Difficoltà
- 4/5
- Tempo stimato
- 3-5 giorni
- Stato di attività
- Ferma
- Chiarezza
- Da chiarire
- Idoneità per principianti
- 25/100