fsspec / fsspec/kerchunk

Upcoming major improvements

Open
#209 19 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
366
Forks
96
Avg merge
24m
Merged PRs (30d)
1

Description

Stuff that would be cool to get done and is well within out capacity. Please vote if you have favourites here!

  • automagically run combine in dask tree reduction mode #255
  • split to subchunk utility for uncompressed data. #251
  • concatenate from subchunks for irregular inputs and primitive sharding support
  • coords generation (e.g., FITS WCS, geoTIFF bounding boxes) for flexible xarray indexes (partial: #192 )
  • parquet storage (from preffs) #277 with
    • lazy loading
    • sorted key partitioning
  • subsampling and multiscale pyramid generation
  • checksums or other UUIDs for remote files, to check for changes
  • linked zarr/numcodecs: allow for read context to be passed to codec and storage layer, so that we can, for instance, apply a different scale to a cube at each pane https://github.com/zarr-developers/zarr-python/pull/1131
  • consolidate (nearly) adjoining reads in ReferenceFileSystem as is done in fsspec.parquet https://github.com/fsspec/filesystem_spec/pull/1063

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

This is a broad roadmap covering several unchecked features, including irregular subchunk concatenation, parquet storage, multiscale generation, checksums, and linked codec/storage context. Start by selecting one item and finding its existing implementation or a focused follow-up issue; the relevant files, tests, and definition of done are not identified here.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
18/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.