issue_comments: 162463237
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/672#issuecomment-162463237 | https://api.github.com/repos/pydata/xarray/issues/672 | 162463237 | MDEyOklzc3VlQ29tbWVudDE2MjQ2MzIzNw== | 7300413 | 2015-12-07T09:33:17Z | 2015-12-07T09:33:17Z | NONE | You were right, my chunk sizes were too large. It did not matter how many threads dask used either (4 vs. 8). The I/O component is still high, but that is also because I'm writing the final computed DataArray to disk. Thanks! |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
120681918 |