issue_comments

Table actions

2 rows where author_association = "MEMBER", issue = 303270676 and user = 306380 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

  • mrocklin · 2 ✖

issue 1

  • xarray/zarr cloud demo · 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
371561783 https://github.com/pydata/xarray/issues/1974#issuecomment-371561783 https://api.github.com/repos/pydata/xarray/issues/1974 MDEyOklzc3VlQ29tbWVudDM3MTU2MTc4Mw== mrocklin 306380 2018-03-08T17:32:08Z 2018-03-08T17:32:08Z MEMBER

Seeing a good thing twice never hurts. The audience is likely not entirely the same. It's also probably the motivation for their interest. It might be useful as an introduction.

On Thu, Mar 8, 2018 at 12:30 PM, Alistair Miles notifications@github.com wrote:

Actually just realising @rabernat https://github.com/rabernat and @mrocklin https://github.com/mrocklin you guys already demoed all of this to ESIP back in January (really nice talk btw). So maybe I don't need to repeat.

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/pydata/xarray/issues/1974#issuecomment-371561259, or mute the thread https://github.com/notifications/unsubscribe-auth/AASszCa5pvXIfJk7I1qgIEOtlXqUK3zoks5tcWqwgaJpZM4ShNMy . 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   xarray/zarr cloud demo 303270676
371548028 https://github.com/pydata/xarray/issues/1974#issuecomment-371548028 https://api.github.com/repos/pydata/xarray/issues/1974 MDEyOklzc3VlQ29tbWVudDM3MTU0ODAyOA== mrocklin 306380 2018-03-08T16:49:38Z 2018-03-08T16:49:38Z MEMBER

Recorded video if you want: https://youtu.be/rSOJKbfNBNk

On Thu, Mar 8, 2018 at 11:38 AM, Alistair Miles notifications@github.com wrote:

Ha, Murphy's law. Shame because the combination of jupyterlab interface, launching a kubernetes cluster, and being able to click through to the Dask dashboard looks futuristic cool :-) I was really looking forward to seeing all my jobs spinning through the Dask dashboard as they work. I actually have a pretty packed talk already so don't absolutely need to include this, but if it does come back in time I'll slot it in. Talk starts 8pm GMT so still a few hours yet...

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/pydata/xarray/issues/1974#issuecomment-371544386, or mute the thread https://github.com/notifications/unsubscribe-auth/AASszL5yxyELO4rZQbSdzooGZ7t9bfjGks5tcV6bgaJpZM4ShNMy . 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   xarray/zarr cloud demo 303270676

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]);