issue_comments: 1043001146

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https://github.com/pydata/xarray/issues/1385#issuecomment-1043001146 https://api.github.com/repos/pydata/xarray/issues/1385 1043001146 IC_kwDOAMm_X84-Ku86 1197350 2022-02-17T14:21:45Z 2022-02-17T14:22:23Z MEMBER

(I could post to a web server if there's any reason to prefer that.)

In general that would be a little more convenient than google drive, because then we could download the file from python (rather than having a manual step). This would allow us to share a fully copy-pasteable code snippet to reproduce the issue. But don't worry about that for now.

First, I'd note that your issue is not really related to open_mfdataset at all, since it is reproduced just using open_dataset. The core problem is that you have ~15M timesteps, and it is taking forever to decode the times out of them. It's fast when you do decode_times=False because the data aren't actually being read. I'm going to make a post over in discussions to dig a bit deeper into this. StackOverflow isn't monitored too regularly by this community.

 
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