issues
1 row where milestone = 8303187, type = "issue" and user = 536941 sorted by updated_at descending
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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 |
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1334628400 | I_kwDOBm6k_c5PjNAw | 1779 | google cloudrun updated their limits on maxscale based on memory and cpu count | fgregg 536941 | closed | 0 | Datasette 0.62 8303187 | 13 | 2022-08-10T13:27:21Z | 2022-08-14T19:42:59Z | 2022-08-14T17:07:34Z | CONTRIBUTOR | if you don't set an explicit limit on container scaling, then google defaults to 100 google recently updated the limits on container scaling, such that if you set up datasette to use more memory or cpu, then you need to set the maxScale argument much smaller than 100. would be nice if Log of an failing publish run.
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datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1779/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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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, [pull_request] TEXT, [body] TEXT, [repo] INTEGER REFERENCES [repos]([id]), [type] TEXT , [active_lock_reason] TEXT, [performed_via_github_app] TEXT, [reactions] TEXT, [draft] INTEGER, [state_reason] 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]);