html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/pull/4035#issuecomment-656637518,https://api.github.com/repos/pydata/xarray/issues/4035,656637518,MDEyOklzc3VlQ29tbWVudDY1NjYzNzUxOA==,1197350,2020-07-10T11:57:40Z,2020-07-10T11:57:40Z,MEMBER,"Zac, you may be interested in this thread

https://discourse.pangeo.io/t/best-practices-to-go-from-1000s-of-netcdf-files-to-analyses-on-a-hpc-cluster/588/32

Tom White managed to integrate dask with pywren via dask executor. This allows you to read / write zarr with lambda. 

Sent from my iPhone

> On Jul 9, 2020, at 6:41 PM, Stephan Hoyer <notifications@github.com> wrote:
> 
> 
> This looks nice. Is there a thought if this would work with functions as a service (GCP cloud functions, AWS Lambda, etc) for supporting parallel transformation from netcdf to zarr?
> 
> I haven't used function as a service before, but yes, I imagine this might be useful for that sort of thing. As long as you can figure out the structure of the overall Zarr datasets ahead of time, you could use region to fill out different parts entirely independently.
> 
> —
> You are receiving this because you were mentioned.
> Reply to this email directly, view it on GitHub, or unsubscribe.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,613012939
https://github.com/pydata/xarray/pull/4035#issuecomment-627318136,https://api.github.com/repos/pydata/xarray/issues/4035,627318136,MDEyOklzc3VlQ29tbWVudDYyNzMxODEzNg==,1197350,2020-05-12T12:42:12Z,2020-05-12T12:42:37Z,MEMBER,"> A similar neat feature would be to read xarray datasets from regions of zarr groups w/o dask arrays.

@nbren12 - this has always been supported. Just call `open_zarr(..., chunks=False)` and then subset using `sel` / `isel`. ","{""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 1}",,613012939
https://github.com/pydata/xarray/pull/4035#issuecomment-625865523,https://api.github.com/repos/pydata/xarray/issues/4035,625865523,MDEyOklzc3VlQ29tbWVudDYyNTg2NTUyMw==,1197350,2020-05-08T15:16:54Z,2020-05-08T15:16:54Z,MEMBER,"Stephan, this seems like a great addition. Thanks for getting it started!

I'm curious how this interacts with dimension coordinates. Your example bypasses this. But what if dimension coordinates are present. How do we handle alignment issues? For example, what if I call `ds.to_zarr(path , region=selection)`, but the dimension coordinates of `ds` don't align with the dimension coordinates of the store at `path`""

> 1. Officially document that the `compute` argument only controls writing array values, not metadata (at least for zarr).

:+1:

> 4\. Like (2), but raise an error instead of a warning. Require the user to explicitly drop them with `.drop()`. This is probably the safest behavior.

:+1:

I think only advanced users will want to use this feature.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,613012939