issue_comments: 269573022
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/1189#issuecomment-269573022 | https://api.github.com/repos/pydata/xarray/issues/1189 | 269573022 | MDEyOklzc3VlQ29tbWVudDI2OTU3MzAyMg== | 1217238 | 2016-12-29T02:30:16Z | 2016-12-29T02:30:16Z | MEMBER | Actually, I just tested it and it appears that forking also works, as long as you create the pool before opening any files. Otherwise, the netCDF library crashes (https://github.com/pydata/xarray/pull/1128#issuecomment-261841025). A local "distributed" scheduler might indeed also work, but at least when operating on a single machine it makes sense to bring all data into a single process once it's been loaded for multi-threaded data analysis. |
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