issues

Table actions

1 row where type = "issue" and user = 5704500 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

type 1

  • issue · 1 ✖

state 1

repo 1

id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
415802678 MDU6SXNzdWU0MTU4MDI2Nzg= 2796 Better explanation of 'minimal' in xarray.open_mfdataset(data_vars='minimal') in docs? wckoeppen 5704500 open 0     2 2019-02-28T20:11:42Z 2021-07-08T17:42:52Z   NONE      

Problem description

I'm currently troubleshooting some overly long (to me) load times using open_mfdataset on GFS data. In trying to speed things up, I'm trying to specify just the four variables I actually care about using data_vars=[strings], but to no avail. It still takes ~30 minutes to load 52 time slices from 7 files.

In the docs I do see that if data_vars =

list of str: "The listed data variables will be concatenated, in addition to the ‘minimal’ data variables."

However, I can't seem to understand what the 'minimal' variables are from this sentence in the docs:

‘minimal’: Only data variables in which the dimension already appears are included.

All the variables in the CF-compliant GFS data are associated with dimensions. So does that mean that all the variables in the files will be concatenated, regardless if I specify which ones I want? I feel like I'm misunderstanding what is included by default.

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/2796/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
     xarray 13221727 issue

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE [issues] (
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [number] INTEGER,
   [title] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [state] TEXT,
   [locked] INTEGER,
   [assignee] INTEGER REFERENCES [users]([id]),
   [milestone] INTEGER REFERENCES [milestones]([id]),
   [comments] INTEGER,
   [created_at] TEXT,
   [updated_at] TEXT,
   [closed_at] TEXT,
   [author_association] TEXT,
   [active_lock_reason] TEXT,
   [draft] INTEGER,
   [pull_request] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [state_reason] TEXT,
   [repo] INTEGER REFERENCES [repos]([id]),
   [type] TEXT
);
CREATE INDEX [idx_issues_repo]
    ON [issues] ([repo]);
CREATE INDEX [idx_issues_milestone]
    ON [issues] ([milestone]);
CREATE INDEX [idx_issues_assignee]
    ON [issues] ([assignee]);
CREATE INDEX [idx_issues_user]
    ON [issues] ([user]);