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/issues/4482#issuecomment-707270259,https://api.github.com/repos/pydata/xarray/issues/4482,707270259,MDEyOklzc3VlQ29tbWVudDcwNzI3MDI1OQ==,1217238,2020-10-12T18:08:55Z,2020-10-12T18:08:55Z,MEMBER,"> I'm happy to live with a memory copy for now with `fillna` and `notnull`, but allocating the full, un-chunked array into memory is a showstopper. Is there a different workaround that I can use in the meantime?

This is surprising behavior, and definitely sounds like a bug!

If you could put together a minimal test case for reproducing the issue, we could look into it. It's hard to say what a work-around would be without knowing the source of the issue.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,713834297
https://github.com/pydata/xarray/issues/4482#issuecomment-704064370,https://api.github.com/repos/pydata/xarray/issues/4482,704064370,MDEyOklzc3VlQ29tbWVudDcwNDA2NDM3MA==,1217238,2020-10-06T06:38:51Z,2020-10-06T06:38:51Z,MEMBER,"I agree this would be welcome! Even if it isn't much faster than the options already shown here, at least we could point users to the _best_ option we know of.

I suspect achieving the full speed of `dot()` with skip-NA support is impossible, but we can probably do much better. I might start by prototyping something in Numba, just to get a sense of what is achievable with a low-level approach. But keep in mind that functions like `np.dot` and `np.einsum` (""GEMM"") are a few of the most highly optimized routines in numerical computing.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,713834297