issue_comments: 291512017
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/1301#issuecomment-291512017 | https://api.github.com/repos/pydata/xarray/issues/1301 | 291512017 | MDEyOklzc3VlQ29tbWVudDI5MTUxMjAxNw== | 1360241 | 2017-04-04T14:11:08Z | 2017-04-04T14:11:08Z | NONE | @rabernat This data is computed on demand from the OOI (http://oceanobservatories.org/cyberinfrastructure-technology/). Datasets can be massive and so they seem to be split up in ~500 MB files when data gets too big. That is why obs changes for each file. Would having obs be consistent across all files potentially make open_mfdataset faster? |
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