home / github

Menu
  • GraphQL API
  • Search all tables

issue_comments

Table actions
  • GraphQL API for issue_comments

1 row where author_association = "CONTRIBUTOR" and issue = 212561278 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date)

user 1

  • mangecoeur 1

issue 1

  • open_mfdataset() significantly slower on 0.9.1 vs. 0.8.2 · 1 ✖

author_association 1

  • CONTRIBUTOR · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
285052725 https://github.com/pydata/xarray/issues/1301#issuecomment-285052725 https://api.github.com/repos/pydata/xarray/issues/1301 MDEyOklzc3VlQ29tbWVudDI4NTA1MjcyNQ== mangecoeur 743508 2017-03-08T14:20:30Z 2017-03-08T14:20:30Z CONTRIBUTOR

My 2cents - I've found that with big files any %prun tends to show method 'acquire' of '_thread.lock' as one of the highest time but it's not necessarily indicative of where the perf issue comes from because it's effectively just waiting for IO which is always slow. One thing that helps get a better profile is setting dask backend to the non-parallel sync option which gives cleaner profiles.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  open_mfdataset() significantly slower on 0.9.1 vs. 0.8.2 212561278

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options:

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]);
Powered by Datasette · Queries took 965.046ms · About: xarray-datasette