html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,issue,performed_via_github_app
https://github.com/simonw/datasette/issues/1384#issuecomment-1066194130,https://api.github.com/repos/simonw/datasette/issues/1384,1066194130,IC_kwDOBm6k_c4_jNTS,167160,2022-03-13T22:23:04Z,2022-03-13T22:23:04Z,NONE,"Ah, sorry, I didn't get what you were saying you the first time. Using _metadata_local in that way makes total sense -- I agree, refreshing metadata each cell was seeming quite excessive. Now I'm on the same page! :)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",930807135,
https://github.com/simonw/datasette/issues/1384#issuecomment-1066143991,https://api.github.com/repos/simonw/datasette/issues/1384,1066143991,IC_kwDOBm6k_c4_jBD3,167160,2022-03-13T17:13:09Z,2022-03-13T17:13:09Z,NONE,"Thanks for taking the time to reply @brandonrobertz , this is really helpful info.

>  See ""Many small queries are efficient in sqlite"" for more information on the rationale here. Also note that in the datasette-live-config reference plugin, the DB connection is cached, so that eliminated most of the performance worries we had.

Ah, that's nifty! Yeah, then caching on the python side is likely a waste :) I'm new to working with sqlite so this is super good to know the many-small-queries is a common pattern

> I tested on very large Datasette deployments (hundreds of DBs, millions of rows).

For my reference, did you include a `render_cell` plugin calling `get_metadata` in those tests? I'm less concerned now that I know a little more about sqlite's caching, but that special situation will jump you to a few orders of magnitude above what the sqlite article describes (e.g. 200 vs 20,000 queries+metadata merges for a page displaying 100 rows of a 200 column table). It wouldn't scale with db size as much as # of visible cells being rendered on the page, although they would be identical queries I suppose so will cache well.

(If you didn't test this specific situation, no worries -- I'm just trying to calibrate my intuition on this and can do my own benchmarks at some point.)

> Simon talked about eventually making something like this a standard feature of Datasette

Yeah, getting metadata (and static pages as well for that matter) from internal tables definitely has my vote for including as a standard feature! Its really nice to be able to distribute a single *.db with all the metadata and static pages bundled. My metadata are sufficiently complex/domain specific that it makes sense to continue on my own plugin for now, but I'll be thinking about more general parts I can spin off as possible contributions to liveconfig (if you're open to them) or other plugins in this ecosystem.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",930807135,
https://github.com/simonw/sqlite-utils/issues/408#issuecomment-1066139147,https://api.github.com/repos/simonw/sqlite-utils/issues/408,1066139147,IC_kwDOCGYnMM4_i_4L,24938923,2022-03-13T16:45:00Z,2022-03-13T16:54:09Z,NONE,"@simonw 

Now I get this:

```
(app-root) sqlite-utils indexes global.db --table
Error: near ""("": syntax error
(app-root) sqlite-utils --version
sqlite-utils, version 3.25.1
(app-root) sqlite3 --version
3.36.0 2021-06-18 18:36:39
(app-root) python --version
Python 3.8.11
```


Dockerfile
```
FROM centos/python-38-centos7

USER root

RUN yum update -y
RUN yum upgrade -y


# epel
RUN yum -y install epel-release && yum clean all

# SQLite
RUN yum -y install zlib-devel geos geos-devel proj proj-devel freexl freexl-devel libxml2-devel 

WORKDIR /build/
COPY sqlite-autoconf-3360000.tar.gz ./
RUN tar -zxf sqlite-autoconf-3360000.tar.gz
WORKDIR /build/sqlite-autoconf-3360000
RUN ./configure
RUN make
RUN make install

# 
RUN /opt/app-root/bin/python3.8 -m pip install --upgrade pip
RUN pip install sqlite-utils
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1145882578,