issue_comments

Table actions

2 rows where issue = 236347050 and user = 1197350 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date)

user 1

  • rabernat · 2 ✖

issue 1

  • Feature/benchmark · 2 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
317758630 https://github.com/pydata/xarray/pull/1457#issuecomment-317758630 https://api.github.com/repos/pydata/xarray/issues/1457 MDEyOklzc3VlQ29tbWVudDMxNzc1ODYzMA== rabernat 1197350 2017-07-25T14:38:36Z 2017-07-25T14:38:36Z MEMBER

I will merge by the end of the day if no one has any more comments.

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Feature/benchmark 236347050
315401470 https://github.com/pydata/xarray/pull/1457#issuecomment-315401470 https://api.github.com/repos/pydata/xarray/issues/1457 MDEyOklzc3VlQ29tbWVudDMxNTQwMTQ3MA== rabernat 1197350 2017-07-14T16:17:07Z 2017-07-14T16:17:07Z MEMBER

I think this a great start!

I would really like to see a performance test for open_mfdataset, since this is my own personal bottleneck.

Regarding the dependence on hardware, I/O speeds, etc, we should be able to resolve this by running on specific instance types on a cloud platform. We could configure environments with local SSD storage, network storage, etc, in order to cover different scenarios.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Feature/benchmark 236347050

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]);