issue_comments
3 rows where issue = 233350060 and user = 1197350 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- If a NetCDF file is chunked on disk, open it with compatible dask chunks · 3 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 632294837 | https://github.com/pydata/xarray/issues/1440#issuecomment-632294837 | https://api.github.com/repos/pydata/xarray/issues/1440 | MDEyOklzc3VlQ29tbWVudDYzMjI5NDgzNw== | rabernat 1197350 | 2020-05-21T19:19:50Z | 2020-05-21T19:19:50Z | MEMBER |
To simplify a little bit, here we are only talking about reading a single store, i.e. one netcdf file or one zarr group. Also out of scope is the underlying storage medium (e.g. block size). |
{
"total_count": 2,
"+1": 2,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
If a NetCDF file is chunked on disk, open it with compatible dask chunks 233350060 | |
| 632266536 | https://github.com/pydata/xarray/issues/1440#issuecomment-632266536 | https://api.github.com/repos/pydata/xarray/issues/1440 | MDEyOklzc3VlQ29tbWVudDYzMjI2NjUzNg== | rabernat 1197350 | 2020-05-21T18:23:13Z | 2020-05-21T18:23:13Z | MEMBER |
This gets tricky, because we may want slightly different behavior depending on whether the underlying array store is chunked. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
If a NetCDF file is chunked on disk, open it with compatible dask chunks 233350060 | |
| 632183683 | https://github.com/pydata/xarray/issues/1440#issuecomment-632183683 | https://api.github.com/repos/pydata/xarray/issues/1440 | MDEyOklzc3VlQ29tbWVudDYzMjE4MzY4Mw== | rabernat 1197350 | 2020-05-21T16:13:46Z | 2020-05-21T16:14:08Z | MEMBER | We discussed this issue today in our pangeo coffee break. We think the following plan would be good:
Should we have an option like |
{
"total_count": 2,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 2,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
If a NetCDF file is chunked on disk, open it with compatible dask chunks 233350060 |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE [issue_comments] (
[html_url] TEXT,
[issue_url] TEXT,
[id] INTEGER PRIMARY KEY,
[node_id] TEXT,
[user] INTEGER REFERENCES [users]([id]),
[created_at] TEXT,
[updated_at] TEXT,
[author_association] TEXT,
[body] TEXT,
[reactions] TEXT,
[performed_via_github_app] TEXT,
[issue] INTEGER REFERENCES [issues]([id])
);
CREATE INDEX [idx_issue_comments_issue]
ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
ON [issue_comments] ([user]);
user 1