4paradigm / 4paradigm/OpenMLDB

Test the performance and memory usage of sdk when OpenMLDB has many tables(1w+)

Open
#582 0 comments 0 reactions 1 assignee Claimed by @dl239 View on GitHub
Dominant language
C++
Stars
1.7k
Forks
331
Avg merge
12d 12h
Merged PRs (30d)
1

Description

**Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]

RTIDB java client will use G-level memory when RTIDB has 1w+ tables. So we need to test OpenMLDB in this scene.

**Describe the solution you'd like**
A clear and concise description of what you want to happen.

**Describe alternatives you've considered**
A clear and concise description of any alternative solutions or features you've considered.

**Additional context**
Add any other context or screenshots about the feature request here.

Contributor guide

Open the contributing guide

Research direction

The issue mentions testing the OpenMLDB SDK's performance and memory usage with over 10,000 tables, referencing a similar issue with RTIDB Java client. Start by examining the OpenMLDB SDK codebase, particularly the client-side libraries and any existing performance tests. Look for benchmarks or stress test scripts. Determine how to create and manage many tables programmatically, then measure memory consumption and performance metrics. The goal is to produce a test report or script that can be run to validate the SDK under high table counts.

Written by the indexing model from the issue text.

Assessment

Tech stack
databases, java, machine-learning
Domain
databases, machine-learning, performance
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.