4paradigm / 4paradigm/OpenMLDB
Test the performance and memory usage of sdk when OpenMLDB has many tables(1w+)
- Dominant language
- C++
- Stars
- 1.7k
- Forks
- 331
- Avg merge
- 12d 12h
- Merged PRs (30d)
- 1
Description
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RTIDB java client will use G-level memory when RTIDB has 1w+ tables. So we need to test OpenMLDB in this scene.
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Contributor 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