MagicStack / MagicStack/asyncpg
Best way to spread query over multipule asyncio tasks?
- Dominant language
- Python
- Stars
- 8.1k
- Forks
- 468
- PR merge metrics
- No merged PRs in 30d
Description
I want to the data from a query as data for network actions. I am thinking about the best way to do this.
1> perform a single query and fetch all rows, then divide the result and pa sub part to each task
easy, but not good for large amount of data
2> Use a asyncio Queue. The producer would use a cursor to read that data and each task would be a consumer
difficult, do not know it would work.
3> Use pooled connections. but there would have to be a global "next".for each query
dumb idea
What would be the best and simplest way to query the database and do network actions and then use pooled connections to write a result?
Contributor guide
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Research direction
The issue names no files, tests, or entry points to inspect. Start by reviewing asyncpg's query, cursor, pooling, and transaction documentation, then define a supported pattern for consuming query rows, performing network actions, and writing results with pooled connections.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- postgresql, python
- Domain
- database
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100