Use case: Stream arrays from redis store
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python, redis
- Domain
- data, stream-processing
Research direction
Start by reading the linked Geostreams issue and wiki, then inspect the existing stream handling and Redis-related entry points in streamz. Define which reactive operations on key/value pairs and Xarray or Dask arrays are required; the work is done when a concrete design and implementation scope are agreed.
Written by the indexing model from the issue text.
Description
We are developing a tool for streaming N-D arrays from low level languages (Fortran/C) to Python. We are using Redis and are in the process of designing an Xarray backend (https://github.com/nbren12/geostreams/issues/6) as the user facing API. We are exploring different stream handling intermediaries that will allow us do many of the common reactive programing tasks on a collection of key/value pairs mapped to Xarray objects. Ideally, we come up with a solution that works well with dask arrays too.
@nbren12 may want to expand my initial description.
References:
- Geostreams Issue
- Geostreams Wiki describing project
cc @nbren12, @phargogh, @ajijohn, @mrocklin
- Dominant language
- Python
- Stars
- 1.3k
- Forks
- 149
- Avg merge
- 17h 39m
- Merged PRs (30d)
- 1
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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