xr.doctor(): diagnostics on a Dataset / DataArray ?
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Description
Is your feature request related to a problem?
Recently I've been reading through various issue reports here and there (GH issues and discussions, forums, etc.) and I'm wondering if it wouldn't be useful to have some function in Xarray that inspects a Dataset or DataArray and reports a bunch of diagnostics, so that the community could better help troubleshooting performance or other issues faced by users.
It's not always obvious where to look (e.g., number of chunks of a dask array, number of tasks of a dask graph, etc.) to diagnose issues, sometimes even for experienced users.
Describe the solution you'd like
A xr.doctor(dataset_or_dataarray) top-level function (or Dataset.doctor() / DataArray.doctor() methods) that would perform a battery of checks and return helpful diagnostics, e.g.,
- "Data variable "x" wraps a dask array that contains a lot of tasks, which may affect performance"
- "Data variable "x" wraps a dask array that contains many small chunks"
- ... possibly many other diagnostics?
Describe alternatives you've considered
None
Additional context
No response
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.
Research direction
Start by reviewing the proposed xr.doctor(dataset_or_dataarray) entry point and the example diagnostics for Dask task counts and chunk sizes. Done would require a defined, agreed battery of diagnostics and a clear return format, but the issue does not identify files, tests, or a settled scope.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100