4paradigm / 4paradigm/OpenMLDB
online performance with long window optimization degrades after upgrade
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bug
- 主要语言
- C++
- 星标
- 1.7k
- 派生
- 331
- 平均合并
- 12 天 12 小时
- 30 天内合并 PR
- 1
描述
**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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贡献指南
调研方向
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.
由索引模型根据 Issue 内容生成。
评估
- 技术栈
- databases, machine-learning
- 领域
- databases, machine-learning, performance
- Issue 类型
- 缺陷
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 活跃度
- 停滞
- 描述清晰度
- 需要澄清
- 新手友好度
- 25/100