issue_comments

Table actions

2 rows where author_association = "MEMBER", issue = 206632333 and user = 2443309 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

  • jhamman · 2 ✖

issue 1

  • PERF: Add benchmarking? · 2 ✖

author_association 1

  • MEMBER · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
308002808 https://github.com/pydata/xarray/issues/1257#issuecomment-308002808 https://api.github.com/repos/pydata/xarray/issues/1257 MDEyOklzc3VlQ29tbWVudDMwODAwMjgwOA== jhamman 2443309 2017-06-13T04:21:48Z 2017-06-13T04:21:48Z MEMBER

@rabernat - great. I've setup a ASV project and am in the process of teaching myself how that all works. I'm just playing with some simple arithmatic benchmarks for now but, of course, most of our interested will be in the i/o and dask arenas.

I'm wondering if @mrocklin has seen ASV used with any dask projects. We'll just need to make sure we choose the appropriate timer when profiling dask functions.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   PERF: Add benchmarking? 206632333
307934432 https://github.com/pydata/xarray/issues/1257#issuecomment-307934432 https://api.github.com/repos/pydata/xarray/issues/1257 MDEyOklzc3VlQ29tbWVudDMwNzkzNDQzMg== jhamman 2443309 2017-06-12T21:28:12Z 2017-06-12T21:28:12Z MEMBER

Is anyone interested in working on this with me over the next few months? Given the number of issues we've been seeing, I'd like to see this come together this summer. I think ASV is the natural starting point.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   PERF: Add benchmarking? 206632333

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]);