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2 rows where issue = 317001500 and user = 21148 sorted by updated_at descending

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  • jacobian · 2 ✖

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  • datasette publish lambda plugin · 2 ✖

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  • CONTRIBUTOR 2
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
799003172 https://github.com/simonw/datasette/issues/236#issuecomment-799003172 https://api.github.com/repos/simonw/datasette/issues/236 MDEyOklzc3VlQ29tbWVudDc5OTAwMzE3Mg== jacobian 21148 2021-03-14T23:42:57Z 2021-03-14T23:42:57Z CONTRIBUTOR

Oh, and the container image can be up to 10GB, so the EFS step might not be needed except for pretty big stuff.

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datasette publish lambda plugin 317001500  
799002993 https://github.com/simonw/datasette/issues/236#issuecomment-799002993 https://api.github.com/repos/simonw/datasette/issues/236 MDEyOklzc3VlQ29tbWVudDc5OTAwMjk5Mw== jacobian 21148 2021-03-14T23:41:51Z 2021-03-14T23:41:51Z CONTRIBUTOR

Now that Lambda supports Docker, this probably is a bit easier and may be able to build on top of the existing package command.

There are weirdnesses in how the command actually gets invoked; the aws-lambda-python image shows a bit of that. So Datasette would probably need some sort of Lambda-specific entry point to make this work.

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datasette publish lambda plugin 317001500  

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   [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,
   [issue] INTEGER REFERENCES [issues]([id])
, [performed_via_github_app] TEXT);
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                ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
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