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1 row where issue = 374025325 and user = 8934026 sorted by updated_at descending

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  • roxyboy · 1 ✖

issue 1

  • Array indexing with dask arrays · 1 ✖

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  • NONE 1
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
567966648 https://github.com/pydata/xarray/issues/2511#issuecomment-567966648 https://api.github.com/repos/pydata/xarray/issues/2511 MDEyOklzc3VlQ29tbWVudDU2Nzk2NjY0OA== roxyboy 8934026 2019-12-20T15:37:09Z 2019-12-20T15:39:10Z NONE

I'm just curious if there's been any progress on this issue. I'm also getting the same error: TypeError: unexpected indexer type for VectorizedIndexer and I would greatly benefit from lazy vectorized indexing.

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  Array indexing with dask arrays 374025325

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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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