issue_comments
2 rows where issue = 304589831 and user = 1197350 sorted by updated_at descending
This data as json, CSV (advanced)
issue 1
- Parallel open_mfdataset · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
380121937 | https://github.com/pydata/xarray/pull/1983#issuecomment-380121937 | https://api.github.com/repos/pydata/xarray/issues/1983 | MDEyOklzc3VlQ29tbWVudDM4MDEyMTkzNw== | rabernat 1197350 | 2018-04-10T14:32:25Z | 2018-04-10T14:32:25Z | MEMBER | I recently tried this branch with my data server and got an error. I opened a dataset this way ```python works fine with parallel=Falseds = xr.open_mfdataset(os.path.join(ddir, 'V1_1.204.nc'), decode_cf=False, parallel=True) ``` and got the following error.
Without the distributed scheduler (but with Any idea what could be going on? (Sorry for the non-reproducible bug report...I figured some trials "in the field" might be useful.) |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Parallel open_mfdataset 304589831 | |
379305062 | https://github.com/pydata/xarray/pull/1983#issuecomment-379305062 | https://api.github.com/repos/pydata/xarray/issues/1983 | MDEyOklzc3VlQ29tbWVudDM3OTMwNTA2Mg== | rabernat 1197350 | 2018-04-06T16:24:22Z | 2018-04-06T16:24:22Z | MEMBER | Can we imagine cases where it might actually degrade performance? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Parallel open_mfdataset 304589831 |
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