issue_comments: 120668247
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/463#issuecomment-120668247 | https://api.github.com/repos/pydata/xarray/issues/463 | 120668247 | MDEyOklzc3VlQ29tbWVudDEyMDY2ODI0Nw== | 1197350 | 2015-07-11T23:01:38Z | 2015-07-11T23:01:38Z | MEMBER | 8 MB. This is daily satellite data, with one file per time point. (Most satellite data is distributed this way.) There are many other workarounds to this problem. You can try to increase your ulimits. Or you can join these small netcdf files together into a big one. I had daily data files, and I used NCO to concatentate them into monthly files. That basically solved my problem. But of course that involves going out of xray. |
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