issue_comments

Table actions

5 rows where author_association = "MEMBER" and issue = 123923598 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

issue 1

  • Store xray.Dataset to MongoDB · 5 ✖

author_association 1

  • MEMBER · 5 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
682040254 https://github.com/pydata/xarray/issues/683#issuecomment-682040254 https://api.github.com/repos/pydata/xarray/issues/683 MDEyOklzc3VlQ29tbWVudDY4MjA0MDI1NA== crusaderky 6213168 2020-08-27T16:01:16Z 2020-08-27T16:01:16Z MEMBER

Indeed we can. Strong +1 for having a note in the main xarray documentation too!

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Store xray.Dataset to MongoDB 123923598
682013985 https://github.com/pydata/xarray/issues/683#issuecomment-682013985 https://api.github.com/repos/pydata/xarray/issues/683 MDEyOklzc3VlQ29tbWVudDY4MjAxMzk4NQ== dcherian 2448579 2020-08-27T15:15:55Z 2020-08-27T15:15:55Z MEMBER

We could add a list of these projects under the IO section to make them more visible: https://xarray.pydata.org/en/stable/io.html#

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Store xray.Dataset to MongoDB 123923598
682008035 https://github.com/pydata/xarray/issues/683#issuecomment-682008035 https://api.github.com/repos/pydata/xarray/issues/683 MDEyOklzc3VlQ29tbWVudDY4MjAwODAzNQ== keewis 14808389 2020-08-27T15:06:03Z 2020-08-27T15:06:03Z MEMBER

@crusaderky, can we close this by pointing to https://xarray-mongodb.readthedocs.io/en/latest/?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Store xray.Dataset to MongoDB 123923598
167399849 https://github.com/pydata/xarray/issues/683#issuecomment-167399849 https://api.github.com/repos/pydata/xarray/issues/683 MDEyOklzc3VlQ29tbWVudDE2NzM5OTg0OQ== femtotrader 5049737 2015-12-27T10:40:50Z 2015-12-27T10:40:55Z MEMBER

I don't know really if it should be on xray side, on monary or in a separate package. I'm waiting https://bitbucket.org/djcbeach/ opinion about this.

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Store xray.Dataset to MongoDB 123923598
167397678 https://github.com/pydata/xarray/issues/683#issuecomment-167397678 https://api.github.com/repos/pydata/xarray/issues/683 MDEyOklzc3VlQ29tbWVudDE2NzM5NzY3OA== shoyer 1217238 2015-12-27T10:11:04Z 2015-12-27T10:11:04Z MEMBER

Sure, I would definitely be open to this.

However, I don't have any experience with MongoDB, so this would need to come from an outside contribution -- maybe you?

It might also make more sense to put this in a separate package.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Store xray.Dataset to MongoDB 123923598

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]);