issue_comments

Table actions

7 rows where author_association = "MEMBER" and issue = 558230156 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

user 2

issue 1

  • Fix/rtd · 7 ✖

author_association 1

  • MEMBER · 7 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
580824275 https://github.com/pydata/xarray/pull/3737#issuecomment-580824275 https://api.github.com/repos/pydata/xarray/issues/3737 MDEyOklzc3VlQ29tbWVudDU4MDgyNDI3NQ== keewis 14808389 2020-01-31T17:13:38Z 2020-01-31T17:13:38Z MEMBER

looking at the way you pinned the versions (using >=) this should be fine as is, no need for switching to pip.

I have also been experimenting with using channels like https://metachannel.conda-forge.org/conda-forge/iris,netcdf4,numpy,numba,pandas,cartopy which in theory should reduce the downloaded repodata.json and thus reduce the used memory, but I probably did not use the correct url: the used memory increased instead.

Another way to reduce it could be using mamba which reimplements the solver in C++, but it's experimental right now and it's probably also something that has to be installed by RTD, not us (it needs to be installed before creating the environment).

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Fix/rtd 558230156
580813508 https://github.com/pydata/xarray/pull/3737#issuecomment-580813508 https://api.github.com/repos/pydata/xarray/issues/3737 MDEyOklzc3VlQ29tbWVudDU4MDgxMzUwOA== dcherian 2448579 2020-01-31T16:47:12Z 2020-01-31T16:47:12Z MEMBER

I'll merge when this build succeeds: https://readthedocs.org/projects/xray/builds/10362524/

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Fix/rtd 558230156
580813313 https://github.com/pydata/xarray/pull/3737#issuecomment-580813313 https://api.github.com/repos/pydata/xarray/issues/3737 MDEyOklzc3VlQ29tbWVudDU4MDgxMzMxMw== dcherian 2448579 2020-01-31T16:46:44Z 2020-01-31T16:46:44Z MEMBER

What do we do about the build for v0.15.0?

Not sure. We could figure out the pip install bit and release 0.15.1. In the meantime, once this PR is merged to stable, the docs will still be accurate for 0.15.0. 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Fix/rtd 558230156
580806202 https://github.com/pydata/xarray/pull/3737#issuecomment-580806202 https://api.github.com/repos/pydata/xarray/issues/3737 MDEyOklzc3VlQ29tbWVudDU4MDgwNjIwMg== keewis 14808389 2020-01-31T16:30:13Z 2020-01-31T16:30:39Z MEMBER

I'd agree with merging. What do we do about the build for v0.15.0?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Fix/rtd 558230156
580805099 https://github.com/pydata/xarray/pull/3737#issuecomment-580805099 https://api.github.com/repos/pydata/xarray/issues/3737 MDEyOklzc3VlQ29tbWVudDU4MDgwNTA5OQ== dcherian 2448579 2020-01-31T16:28:02Z 2020-01-31T16:28:02Z MEMBER

The docs build with this branch did work: https://readthedocs.org/projects/xray/builds/10362278/ so shall we merge this to stable and then work to pip install things on master?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Fix/rtd 558230156
580804855 https://github.com/pydata/xarray/pull/3737#issuecomment-580804855 https://api.github.com/repos/pydata/xarray/issues/3737 MDEyOklzc3VlQ29tbWVudDU4MDgwNDg1NQ== keewis 14808389 2020-01-31T16:27:34Z 2020-01-31T16:27:34Z MEMBER

also, you can just remove the whole python section in readthedocs.yml, it is not required and since we use conda we use our own python version anyway.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Fix/rtd 558230156
580803737 https://github.com/pydata/xarray/pull/3737#issuecomment-580803737 https://api.github.com/repos/pydata/xarray/issues/3737 MDEyOklzc3VlQ29tbWVudDU4MDgwMzczNw== keewis 14808389 2020-01-31T16:25:18Z 2020-01-31T16:25:18Z MEMBER

you could also pip install everything except cartopy and cf-units (which is a dependency of scitools-iris, the package name for iris on PyPI). The memory usage on my machine is at about 700MB, which should help

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Fix/rtd 558230156

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]);