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1 row where author_association = "MEMBER", issue = 1412901282 and user = 14808389 sorted by updated_at descending

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  • keewis · 1 ✖

issue 1

  • add MultiPandasIndex helper class · 1 ✖

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  • MEMBER · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1282857157 https://github.com/pydata/xarray/pull/7182#issuecomment-1282857157 https://api.github.com/repos/pydata/xarray/issues/7182 IC_kwDOAMm_X85MdtjF keewis 14808389 2022-10-18T18:46:05Z 2022-10-18T21:15:42Z MEMBER

I wonder if it is possible to create a generic MultiIndex? Something like python ds.set_xindex( ["a", "b"], MultiIndex([("a", PandasIndex), ("b", PandasIndex), (["a", "b"], BallTreeIndex)), ) (but I'm sure we can find a better syntax... maybe create a hashable sequence that is not a tuple, since that is already taken? and change the list of tuples to a dict).

For that concept to work, the return value of MultiIndex would have to be a factory function / class, which would instantiate the actual index.

What do you think?

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  add MultiPandasIndex helper class 1412901282

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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]);
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