issue_comments: 362072512
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/1874#issuecomment-362072512 | https://api.github.com/repos/pydata/xarray/issues/1874 | 362072512 | MDEyOklzc3VlQ29tbWVudDM2MjA3MjUxMg== | 5635139 | 2018-01-31T21:13:49Z | 2018-01-31T21:13:49Z | MEMBER | There's no xarray->SQL connector, unfortunately. I don't have that much experience here so I'll let other chime in. You could try chunking to pandas and then to Postgres (but you'll always be limited by memory with pandas). If there's a NetCDF -> tabular connector, that would allow you to operate beyond memory. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
293293632 |