issues
3 rows where author_association = "CONTRIBUTOR", repo = 107914493 and "updated_at" is on date 2022-10-07 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date), closed_at (date)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1386456717 | PR_kwDOBm6k_c4_oHI4 | 1820 | [SPIKE] Don't truncate query CSVs | fgregg 536941 | closed | 0 | 2 | 2022-09-26T17:27:01Z | 2022-10-07T16:12:17Z | 2022-10-07T16:12:17Z | CONTRIBUTOR | simonw/datasette/pulls/1820 | Relates to #526 This is a minimal set of changes needed for having query CSVs attempt to download all the rows. What's good about it is the minimalism. What's bad about it:
:books: Documentation preview :books:: https://datasette--1820.org.readthedocs.build/en/1820/ |
datasette 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/1820/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
1 | |||||
1015646369 | I_kwDOBm6k_c48iYih | 1480 | Exceeding Cloud Run memory limits when deploying a 4.8G database | ghing 110420 | open | 0 | 9 | 2021-10-04T21:20:24Z | 2022-10-07T04:39:10Z | CONTRIBUTOR | When I try to deploy a 4.8G SQLite database to Google Cloud Run, I get this error message:
Unfortunately, the maximum amount of memory that can be allocated to an instance is 8192M. Naively profiling the memory usage of running Datasette with this database locally on my MacBook shows the following memory usage (using Activity Monitor) when I just start up Datasette locally:
I'm trying to understand if there's a query or other operation that gets run during container deployment that causes memory use to be so large and if this can be avoided somehow. This is somewhat related to #1082, but on a different platform, so I decided to open a new issue. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1480/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
860722711 | MDU6SXNzdWU4NjA3MjI3MTE= | 1301 | Publishing to cloudrun with immutable mode? | louispotok 5413548 | open | 0 | 1 | 2021-04-18T17:51:46Z | 2022-10-07T02:38:04Z | CONTRIBUTOR | I'm a bit confused about immutable mode and publishing to cloudrun. (I want to publish with immutable mode so that I can support database downloads.) Running
However, running When I just |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1301/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Advanced export
JSON shape: default, array, newline-delimited, object
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]);