issue_comments
2 rows where user = 23262800 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 920145030 | https://github.com/pydata/xarray/issues/5790#issuecomment-920145030 | https://api.github.com/repos/pydata/xarray/issues/5790 | IC_kwDOAMm_X8422EyG | zachglee 23262800 | 2021-09-15T15:53:49Z | 2021-09-15T15:53:49Z | NONE | @shoyer Tried Dask as you suggested, and it helped significantly! Thanks for the suggestion! |
{
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
combining 2 arrays with xr.merge() causes temporary spike in memory usage ~3x the combined size of the arrays 995207525 | |
| 919153582 | https://github.com/pydata/xarray/issues/5790#issuecomment-919153582 | https://api.github.com/repos/pydata/xarray/issues/5790 | IC_kwDOAMm_X842ySuu | zachglee 23262800 | 2021-09-14T13:30:30Z | 2021-09-14T13:30:30Z | NONE | @dcherian Agreed -- I just used this example for the MVCE, but unfortunately we have no guarantees that our data will always fit nicely into this concat-friendly form :( |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
combining 2 arrays with xr.merge() causes temporary spike in memory usage ~3x the combined size of the arrays 995207525 |
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