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4 rows where author_association = "CONTRIBUTOR", comments = 9 and type = "issue" 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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1801394744 | I_kwDOCGYnMM5rXxo4 | 567 | Plugin system | asg017 15178711 | closed | 0 | 9 | 2023-07-12T17:02:14Z | 2023-07-22T22:59:37Z | 2023-07-22T22:59:36Z | CONTRIBUTOR | I'd like there to be a plugin system for sqlite-utils, similar to the datasette/llm plugins. I'd like to make plugins that would do things like:
A few real-world use-cases of plugins I'd like to see in sqlite-utils:
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sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/567/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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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 } |
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1124237013 | I_kwDOCGYnMM5DAn7V | 398 | Add SpatiaLite helpers to CLI | eyeseast 25778 | closed | 0 | 9 | 2022-02-04T14:01:28Z | 2022-02-16T01:02:29Z | 2022-02-16T00:58:07Z | CONTRIBUTOR | Now that #385 is merged, add CLI versions of those methods. ```sh init spatialitesqlite-utils init-spatialite database.db or maybe/alsosqlite-utils create database.db --enable-wal --spatialite add geometry columnsneeds a database, table, geometry column name, type, with optional SRID and not-nullthis needs to create a table if it doesn't already existsqlite-utils add-geometry-column database.db table-name geometry --srid 4326 --not-null spatial index an existing table/columnsqlite-utils create-spatial-index database.db table-name geometry ``` Should be mostly straightforward. The one thing worth highlighting in docs is that geometry columns can only be added to existing tables. Trying to add a geometry column to a table that doesn't exist yet might mean you have a schema like |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/398/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1078702875 | I_kwDOBm6k_c5AS7Mb | 1552 | Allow to set `facets_array` in metadata (like current `facets`) | davidbgk 3556 | closed | 0 | Datasette 0.60 7571612 | 9 | 2021-12-13T16:00:44Z | 2022-01-13T22:26:15Z | 2021-12-16T18:47:48Z | CONTRIBUTOR | For now, you can set a I'm new to datasette, and I'm willing to help with a PR if that is not already implemented and I missed it! |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1552/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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