issue_comments: 666422864
This data as json
| 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/2314#issuecomment-666422864 | https://api.github.com/repos/pydata/xarray/issues/2314 | 666422864 | MDEyOklzc3VlQ29tbWVudDY2NjQyMjg2NA== | 4992424 | 2020-07-30T14:52:50Z | 2020-07-30T14:52:50Z | NONE | Hi @shaprann, I haven't re-visited this exact workflow recently, but one really good option (if you can manage the intermediate storage cost) would be to try to use new tools like http://github.com/pangeo-data/rechunker to pre-process and prepare your data archive prior to analysis. |
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