Search performance is poor when a database has hundreds of schemas
Open
- Dominant language
- Python
- Stars
- 485
- Forks
- 8
- PR merge metrics
- No merged PRs in 30d
Description
I need to optimise the process of fetching database objects from the server.
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by tracing the code that fetches database objects from the server and identify where handling many schemas becomes slow. Compare behavior with a database containing hundreds of schemas; done means the search is measurably faster without omitting database objects.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- databases, performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100