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2 rows where repo = 107914493 and "updated_at" is on date 2022-09-07 sorted by updated_at descending

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  • datasette · 2 ✖
id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association pull_request body repo type active_lock_reason performed_via_github_app reactions draft state_reason
507454958 MDU6SXNzdWU1MDc0NTQ5NTg= 596 Handle really wide tables better simonw 9599 open 0     9 2019-10-15T20:05:46Z 2022-09-07T00:58:41Z   OWNER  

If a table has hundreds of columns the Datasette UI starts getting unwieldy.

Addressing this would be neat. One option would be to only select the first 30 columns by default and provide a UI for selecting more.

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1363440999 I_kwDOBm6k_c5RRHVn 1804 Ability to set a custom facet_size per table simonw 9599 closed 0     6 2022-09-06T15:11:40Z 2022-09-07T00:21:56Z 2022-09-06T18:06:53Z OWNER  

Suggestion from Discord: https://discord.com/channels/823971286308356157/823971286941302908/1016725586351247430

Is it possible to limit the facet size per database or even per table?

This is a really good idea, it could be done in metadata.yml.

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   [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,
   [pull_request] TEXT,
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   [repo] INTEGER REFERENCES [repos]([id]),
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, [active_lock_reason] TEXT, [performed_via_github_app] TEXT, [reactions] TEXT, [draft] INTEGER, [state_reason] TEXT);
CREATE INDEX [idx_issues_repo]
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CREATE INDEX [idx_issues_milestone]
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CREATE INDEX [idx_issues_assignee]
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CREATE INDEX [idx_issues_user]
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