4paradigm / 4paradigm/OpenMLDB

online performance with long window optimization degrades after upgrade

Open
#2,836 0 comments 0 reactions 2 assignees Claimed by @lqy222 View on GitHub
bug
Dominant language
C++
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Forks
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Avg merge
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Merged PRs (30d)
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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

Open the contributing 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

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