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
1801394744,I_kwDOCGYnMM5rXxo4,567,Plugin system,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:

- Register SQLite extensions for more SQL functions + virtual tables
- Register new subcommands
- Different input file formats for `sqlite-utils memory`
- Different output file formats (in addition to `--csv` `--tsv` `--nl` etc.

A few real-world use-cases of plugins I'd like to see in sqlite-utils:

- Register many of my sqlite extensions in sqlite-utils (`sqlite-http`, `sqlite-lines`, `sqlite-regex`, etc.)
- New subcommands to work with `sqlite-vss` vector tables
- Input/ouput Parquet/Avro/Arrow IPC files with `sqlite-arrow`",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}",,completed
1015646369,I_kwDOBm6k_c48iYih,1480,Exceeding Cloud Run memory limits when deploying a 4.8G database,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:

> Memory limit of 8192M exceeded with 8826M used. Consider increasing the memory limit, see https://cloud.google.com/run/docs/configuring/memory-limits

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:

- Real Memory Size: 70.6 MB
- Virtual Memory Size: 4.51 GB
- Shared Memory Size: 2.5 MB
- Private Memory Size: 57.4 MB

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.",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}",,
1124237013,I_kwDOCGYnMM5DAn7V,398,Add SpatiaLite helpers to CLI,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 spatialite
sqlite-utils init-spatialite database.db

# or maybe/also
sqlite-utils create database.db --enable-wal --spatialite

# add geometry columns
# needs a database, table, geometry column name, type, with optional SRID and not-null
# this needs to create a table if it doesn't already exist
sqlite-utils add-geometry-column database.db table-name geometry --srid 4326 --not-null

# spatial index an existing table/column
sqlite-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 `{""rowid"": int, ""geometry"": bytes}`. Might be worth nudging people to explicitly create a table first, then add geometry columns.
",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}",,completed
1078702875,I_kwDOBm6k_c5AS7Mb,1552,Allow to set `facets_array` in metadata (like current `facets`),3556,closed,0,,7571612,9,2021-12-13T16:00:44Z,2022-01-13T22:26:15Z,2021-12-16T18:47:48Z,CONTRIBUTOR,,"For now, you can set a `facets` value (array) in your metadata file but I couldn't find a way to set a `facets_array` in order to provide default facets for arrays (like tags). My use-case is to access to [that kind of view](https://latest.datasette.io/fixtures/facetable?_facet_array=tags) by default without URL's parameters as with other default facets.

_I'm new to datasette, and I'm willing to help with a PR if that is not already implemented and I missed it!_",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}",,completed