issue_comments
3 rows where author_association = "NONE", issue = 631085856 and user = 1872600 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Document writing netcdf from xarray directly to S3 · 3 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 745520766 | https://github.com/pydata/xarray/issues/4122#issuecomment-745520766 | https://api.github.com/repos/pydata/xarray/issues/4122 | MDEyOklzc3VlQ29tbWVudDc0NTUyMDc2Ng== | rsignell-usgs 1872600 | 2020-12-15T19:39:16Z | 2020-12-15T19:39:16Z | NONE | I'm closing this the recommended approach for writing NetCDF to object stroage is to write locally, then push. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Document writing netcdf from xarray directly to S3 631085856 | |
| 640548620 | https://github.com/pydata/xarray/issues/4122#issuecomment-640548620 | https://api.github.com/repos/pydata/xarray/issues/4122 | MDEyOklzc3VlQ29tbWVudDY0MDU0ODYyMA== | rsignell-usgs 1872600 | 2020-06-08T11:36:14Z | 2020-06-08T11:37:21Z | NONE | @martindurant, I asked @ajelenak offline and he reminded me that:
Looking forward to |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Document writing netcdf from xarray directly to S3 631085856 | |
| 639771646 | https://github.com/pydata/xarray/issues/4122#issuecomment-639771646 | https://api.github.com/repos/pydata/xarray/issues/4122 | MDEyOklzc3VlQ29tbWVudDYzOTc3MTY0Ng== | rsignell-usgs 1872600 | 2020-06-05T20:08:37Z | 2020-06-05T20:54:36Z | NONE | Okay @scottyhq, I tried setting I asked @martindurant about supporting seek for writing in So maybe it's best just to write netcdf files locally and then push them to S3. And to facilitate that, @martindurant merged a PR yesterday to enable ds = xr.open_dataset('http://geoport.usgs.esipfed.org/thredds/dodsC' '/silt/usgs/Projects/stellwagen/CF-1.6/BUZZ_BAY/2651-A.cdf') outfile = fsspec.open('simplecache::s3://chs-pangeo-data-bucket/rsignell/foo2.nc',
mode='wb', s3=dict(profile='default'))
with outfile as f:
ds.to_netcdf(f)
Thanks Martin!!! |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Document writing netcdf from xarray directly to S3 631085856 |
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