Superseded by #2047.

Superseded by #2046.

Exactly, that's what I was running into. On my M2 MacBook, SpatiaLite ends up in what is -- for the moment -- a non-standard location, so even when I passed in the location with --load-extension, I still hit an error on create-spatial-index.

What I learned doing this originally is that SQLite needs to load the extension for each connection, even if all the SpatiaLite stuff is already in the database. So that's why init_spatialite() gets called again.

Here's the code where I hit the error: https://github.com/eyeseast/boston-parcels/blob/main/Makefile#L30 It works using this branch.

I'm not attached to this solution if you can think of something better. And I'm not sure, TBH, my test would actually catch what I'm after here.

This would be a nice feature to have with datasette publish too.

This is pretty annoying for FTS because sqlite throws an error instead of just doing something like returning all or no results. This makes users who are unfamiliar with SQL and Datasette think the canned query page is broken and is a frequent source of confusion.

To anyone dealing with this: My solution is to modify the canned query so that it returns no results which cues people to fill in the blank parameters.

So instead of emails_fts match escape_fts(:search))

My canned queries now look like this:

emails_fts match escape_fts(iif(:search=="", "*", :search))

There are no asterisks in my data so the result is always blank.

Ultimately it would be nice to be able to handle this in the metadata. Either making some named parameters required or setting some default values.

I think this feature was removed in Datasette 0.61 and moved to a plugin. People who want hashed URLs can use the datasette-hashed-urls plugin to achieve the same affect.

It looks like you're trying to disable hashed urls, so I think you can just remove that config setting and things will work.

Is this feature covered by any more recent updates to datasette, or via any plugins that you're aware of?

SQLite doesn't have a native DATETIME type. It stores dates internally as strings and then has functions to work with date-like strings. Yes it's weird.

I did some horrible things in https://github.com/cldellow/datasette-ui-extras/issues/2 to enable this in my plugin -- example here: https://dux-demo.fly.dev/cooking/posts?_facet=owner_user_id&owner_user_id=67

The implementation relies on two things:

• a filters_from_request hook that adds a good human description (unfortunately, without the benefit of the CSS styling you mention)
• doing something evil to hijack the exact and not operators in the Filters class. We can't leave them as is, or we'll get 2 human descriptions -- the built-in Datasette one and the one from my plugin. We can't remove them, or the filters UI will stop supporting the = and != operators

This got me thinking: it'd be neat if the list of operators that the filters UI supported wasn't a closed set.

A motivating example: adding a geospatial NEAR operator. Ideally it'd take two arguments - a target point and a radius, so you could express a filter like find me all rows whose lat/lng are within 10km of 43.4516° N, 80.4925° W. (Optionally, the UI could be enhanced if the geonames database was loaded and queried, so a user could say find me all rows whose lat/lng are within 10km of Kitchener, ON, and the city gets translated to a lat/lng for them)

Performance tests - I think most places don't have them as a formal gate enforced by CI. TypeScript and scalac seem to have tests that run to capture timings. The timings are included by a bot as a comment or build check, and also stored in a database so you can graph changes over time to spot regressions. Probably overkill for Datasette!

Window functions - oh, good point. Looks like Ubuntu shipped JSON1 support as far back as sqlite 3.11. I'll let this PR linger until there's a way to run against different SQLite versions. For now, I'm shipping this with datasette-ui-extras, since I think it's OK for a plugin to enforce a higher minimum requirement.

Tests - there actually did end up being test changes to capture the undercount bug of the current implementation, so the current implementation would fail against the new tests.

Perhaps a non-window function version could be written that uses random() instead of row_number() over () in order to get a unique key. It's technically not unique, but in practice, I imagine it'll work well.

I pushed a revised version which ends up being faster -- the example which currently takes 4 seconds now runs in 500ms.

Ack, this PR is broken. I see now that the inner.* is necessary for ensuring the correct count in the face of rows having duplicate values in views.

That fixes the overcounting, but I think can undercount when the rows have the same data, eg a view like:

sql SELECT '["bar"]' tags UNION ALL SELECT '["bar"]'

will produce a count of {"bar": 1 }, when it should be {"bar": 2}. In fact, this could apply in tables without primary keys, too.

If inner came from a base table that had a primary key or a rowid, we could use those column(s) to solve that case.

I guess a general solution would be to compute a window function so we have a distinct ID for each row. Will fiddle to see if I can get that working.

A +1 for switching to CustomRow: I think you currently only get a CustomRow if the result set had a column that was an fkey (this code)

Otherwise you get vanilla sqlite3.Rows, which will fail if you try to access .columns or lookup the cell by name, which surprised me recently

I don't know how/if you do automated tests for performance, so I haven't changed any of the tests.

I also often then run another little script to cast all empty strings to null, but i save that for another issue if this gets accepted.

i'll adopt this PR to make the changes @simonw suggested https://github.com/simonw/sqlite-utils/pull/203#issuecomment-753567932

see this related discussion to a change in API in sqlite-utils https://github.com/simonw/sqlite-utils/pull/203#issuecomment-753567932

Aha, it's user error on my part.

Adding

sqlite3_db_config.argtypes = [ctypes.c_void_p, ctypes.c_int, ctypes.c_int, ctypes.c_int]

makes it work reliably both on the CLI and from datasette, and now I can reproduce the errors you mentioned in the issue description.

I'm on Ubuntu, unfortunately. :( Would it still be relevant?

I think I've narrowed things down a bit more.

Even sqlite3_free(sqlite3_malloc(128)) segfaults -- this suggests to me that it's something about the sqlite3 library that was loaded, vs, say, getting the wrong db handle when I go spelunking in the Connection object.

Your comment introduced me to this issue in sqlite and to the ctypes module - thanks!

I also hope that the datasette developers will enable this mode in a test environment [...] perhaps we could figure out how to invoke it using ctypes

I'm not a Datasette developer, but I am curious to learn more about getting unholy access to the sqlite C APIs inside of Datasette. (Such access could also help #1293, and if done without grovelling inside of pysqlite's Connection object for the db handle, could even be relatively safe.)

I experimented a bit. I came up with https://gist.github.com/cldellow/85bba507c314b127f85563869cd94820

If you run python3 enable-strict-quoting-sqlite3.py, it seems to set those flags correctly -- SELECT "foo" fails where it would normally succeed.

But if you put it in a plugins/ dir and run datasette --plugins-dir plugins/, it segfaults when it tries to call sqlite3_db_config on the connections created by Datasette.

I am... confused. I'm pretty sure I'm using the same python and the same libsqlite3 in both scenarios, so I would expect it to work.

@gwk do you know anything that might help me debug the segfault? I gather that my approach of going grovelling inside of a PyObject is particularly dangerous, but I was thinking (a) it's necessary in order to test Datasette's use of the sqlite3 library and (b) even if it's not portable, it'd be good enough for running the tests on a single machine.

My original idea for compound foreign keys was to turn both of those columns into links, but that doesn't fit here because database_name is already part of a different foreign key.

it's pretty hard to know what the right thing to do is if a field is part of multiple foreign keys.

but, if that's not the case, what about making each of the columns a link. seems like an improvement over the status quo.

I went ahead and spiked something together, in #2003

@simonw, let me know what you think about this approach!

hi @simonw, this bug bit me today.

the UX for linking from a table to the foreign key seems tough!

the design in the other direction seems a lot easier, for a given primary key detail page, add links back to the tables that refer to the row.

would you be open to a PR that solved the second problem but not the first?

Actually, I discovered your post showing how a plugin can add a Datasette hook. That's wild! I've released datasette-rewrite-sql that adds this ability, albeit via monkey patching.

I had hoped to be able to expose request to the hook (or, even better actor) when the SQL was being run as a result of a user's HTTP request.

But some spelunking in the code makes me suspect that would actually require co-operation from Datasette itself. I'd be happy to be wrong and pointed in the right direction, though!

Hey @lovasoa, I hope you don't mind - I pulled this PR into datasette-ui-extras, a plugin I'm making that collects UI tweaks to Datasette.

You can apply it to your own Datasette instance by running datasette install datasette-ui-extras

Looks like sphinx is up-to-date now, so this is no longer needed.

Yes please, and thank you. I realized I was maybe getting myself in trouble using that, but I think it's a good way to standardize JSON handling.

Totally missed that issue. I can close this as a duplicate.

Superseded by #1982.

Superseded by #1977.

Superseded by #1976.

Thanks for the response!

Yes, it does seem like a pretty nice developer experience--both the automagical labelling of fkeys, and the ability to index the row by column name in addition to column index.

is this issue closed by #1893?

@simonw is this issue closed by #1893?

The "return": true option is really nice!

I confirm that it works 👍

I'll add issues for both and do a documentation PR.

Interesting. I started a version using metadata like I outlined up top, but I realized that there's no documented way for a plugin to access either metadata or canned queries. Or at least, I couldn't find a way.

There is this method: https://github.com/simonw/datasette/blob/main/datasette/app.py#L472 but I don't want to rely on it if it's not documented. Same with this: https://github.com/simonw/datasette/blob/main/datasette/app.py#L544

If those are safe, I'll build on them. I'm also happy to document them, if that greases the wheels.

Counting any virtual tables can be pretty tricky. On one hand, counting a CSV virtual table would return the number of rows in the CSV, which is helpful (but can be I/O intensive). Counting a FTS5 virtual table would return the number of entries in the FTS index, which is kindof helpful, but can be misleading in some cases.

On the other hand, arbitrarily running COUNT(*) on some virtual tables can be incredibly expensive. SQLite offers new shortcuts/pushdowns on COUNT(*) queries for virtual tables, and instead calls the underlying vtab implementation and iterates through all rows in the table without discretion. For example, a virtual table that's backed by a Postgres table would call select * from pg_table, which would use up a lot of network and CPU calls. Or a virtual table backed by a google sheet would make network/API requests to get all the rows from the sheet just to make a count.

The pragma_table_list pragma tells you when a table is a regular table or virtual (in the type column), but was only added in version 3.37.0 (2021-11-27).

Personally, I wouldnt try to COUNT(*) virtual tables - it depends on how the virtual table is implemented, it requires that the connection has the proper extensions loaded, and it may accientally cause perf issues for new-age extensions. A few extensions that I'm writing have virtual tables that wouldn't benefit much from COUNT(*), and the fact that SQLite iterates through all rows in a table to count just makes things worse.

i wrote up a blog post of how i'm using it! https://bunkum.us/2022/11/20/mgdo-stack.html

Are you tracking the change to send the JSON over to the frontend separately or was that part of this? Something like this is probably pretty close https://github.com/bgrins/datasette/commit/8431c98850c7a552dbcde2a4dd0c3dc942a97d25#diff-0c93232bfd5477eeac96382e52769108b41433d960d5277ffcccf2f464e60abdR9

Another idea would be to just not set a min-height and allow the 1 line input to be 1 line heigh

Maybe this is actually a problem in the python sqlite bindings. Given SQLITE's stance on this they should probably use encode('utf-8', 'surrogatepass'). As far as I understand the error here won't actually be resolved by this PR as-is. We would need to modify the data with surrogateescape... :/ or modify the sqlite3 module to use surrogatepass

why close? is the only problem that the _config table that incorrectly says 4 for fts5? if so, that's still something that should be fixed

amazing! thanks @simonw

This is one way to fix it

patch r.html diff --git a/datasette/static/cm-editor-6.0.1.js b/datasette/static/cm-editor-6.0.1.js index c1fd2ab..68cf398 100644 --- a/datasette/static/cm-editor-6.0.1.js +++ b/datasette/static/cm-editor-6.0.1.js @@ -22,7 +22,14 @@ export function editorFromTextArea(textarea, conf = {}) { // https://github.com/codemirror/lang-sql#user-content-sqlconfig.tables let view = new EditorView({ doc: textarea.value, + extensions: [ + EditorView.theme({ + ".cm-content": { + // Height on cm-content ensures the editor is focusable by clicking beyond the height of the text + minHeight: "70px", + }, + }), keymap.of([ { key: "Shift-Enter", diff --git a/datasette/templates/_codemirror.html b/datasette/templates/_codemirror.html index dea4710..c4629ae 100644 --- a/datasette/templates/_codemirror.html +++ b/datasette/templates/_codemirror.html @@ -4,7 +4,6 @@ .cm-editor { resize: both; overflow: hidden; - min-height: 70px; width: 80%; border: 1px solid #ddd; }

I don't love it but it seems to work for the default case. You can still retrigger the bug by resizing the editor to be > 70px high.

The other approach would be to listen for a click on that empty region and move focus to the editor, or something

Should we empty out the fixture schema to avoid fixture autocomplete showing up on live databases in the interim, or are you planning to tackle #1897 shortly?

Alright with https://github.com/simonw/datasette/pull/1893/commits/f254be4b38936e95e7a7f25866e7c6b0520db96f we should be getting autocomplete on fixture data. Give that a test and see what you think

I can push up a commit that uses the static fixtures schema for testing, but given that the query used to generate it is authed we would still need some work to make that work on live data, right? Ideally it could come down to db and query views directly to avoid waiting on an extra xhr and managing that state change.On Nov 16, 2022, at 2:16 PM, Simon Willison @.***> wrote: Honestly I'm not too bothered if table names with weird characters don't work correctly here - I care about those in the Datasette fixtures.db database because Datasette aims to support ANY valid SQLite database, so I need stuff in the test suite that includes weird edge cases like this. But I would hope very few people actually create tables with spaces in their names, so it's not a huge concern to me if autocompletion doesn't work properly for those.

—Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you authored the thread.Message ID: @.***>

I think the table completion still has some quirks to work out. Something like

schema: { "[123_starts_with_digits]": ["content"], }

Seems to work alright, although it will append it after any other numbers you've started typing - so you end up with select * from 12[123_starts_with_digits] if you typed "12" to get the completion to appear. This might just be an issue with numeric names, I haven't tested it in a lot of detail.

You can do

searchable: [ { label: "name with . and spaces", apply: "[name with . and spaces]", }, "pk", "text1", "text2", ],

Which is pretty neat and will show the non-escaped string but complete to the escaped one. You can't easily do that with the table names themselves (you can pass a tables array like so https://github.com/codemirror/lang-sql/blob/ebf115fffdbe07f91465ccbd82868c587f8182bc/src/sql.ts#L121 but it will overwrite the columns from the schema ).

It's buggy enough (bad output for these unusual table names) that I'd suggest that work gets moved into a follow up to the upgrade to 6. That would give space to sort out how to deliver that to the view directly, figure out where name escaping should happen, and have overall testing to uncover bugs and fix papercuts before enabling it.

Alright, added Cmd+Enter to submit (Ctrl+Enter on Windows as well bc of using Meta-Enter on codemirror). We can make that MacOS only by changing the combo to Cmd+Enter specifically but I think it's probably fine to have both.

Or I guess you could return only the escaped table name and then we could derive the unescaped from the client side (removing the outer [] when present)

Nice. And is it possible to include another field which is an escaped table name (only when necessary) - i.e. [123_starts_with_digits]. Or is that easy enough to derive on the client? I'm thinking we'd map those to Completion objects so that CM would show the non escaped text but complete to escaped.

UI issue I see on the autocomplete popup with overlapping icon & text. Screenshot's from Firefox, it seems even a little more pronounced on Safari

I checked and if I empty out app.css the bug goes away, so there's some kind of inheritance issue there. It's hard to debug bc the autocomplete popup goes away on blur (i.e. when trying to inspect it in devtools), but at least it's narrowed down a bit.

For escaped table names it looks like we could pass a Completion object (https://codemirror.net/docs/ref/#autocomplete) instead of a string which would allow the non escaped name to be a label and then the escaped name to actually complete in the editor, which might help with some of the funkiness I was seeing w/ completion

With

patch diff --git a/datasette/templates/_codemirror_foot.html b/datasette/templates/_codemirror_foot.html index ed709b3..74fe18e 100644 --- a/datasette/templates/_codemirror_foot.html +++ b/datasette/templates/_codemirror_foot.html @@ -7,7 +7,11 @@ sqlFormat.hidden = false; } if (sqlInput) { - var editor = (window.editor = cm.editorFromTextArea(sqlInput)); + var editor = (window.editor = cm.editorFromTextArea(sqlInput, { + schema: { + compound_three_primary_keys: ["pk1", "pk2", "pk3", "content"], + }, + }));

we get table autocompletion and column completion if you name the table in the query (see screencast). I do see bugs with escaped table names like "'123_starts_with_digits'": ["col1", "col2"] or "[123_starts_with_digits]": ["col1", "col2"] where it doesn't seem to pick up the column names though. I think it needs some further testing and debugging.

https://user-images.githubusercontent.com/95570/202238521-e613b4e2-ba92-4418-9068-fc022edaee93.mp4

Ha, nice idea! Updating the dialect with that list.

I'm thinking of also adding count to the list since that's a common thing people would want to autocomplete. I notice BQ console highlights count in the same manner as other keywords like select as well.

I added a commit to make our own dialect at https://github.com/simonw/datasette/pull/1893/commits/e273fc8ed5341bdf0b622e722d761bd2acc30a90. Pulled in the full list of keywords from https://www.sqlite.org/lang_keywords.html but haven't gone through and pruned it to only include common select keywords. @simonw you'll have better knowledge than me on that - do you want to take a first shot at narrowing that down to the set that people will be using in the editor?

Have you ever seen CodeMirror correctly auto-completing columns? I'm not entirely sure I believe that the feature works anywhere else.

I was thinking of the BigQuery console, like

But they must be doing something pretty custom & appears to be using Monaco anyway. I suspect some kind of lower level autocomplete integration could make this work, but if the table completion is a good-enough starting point I think it's not too hard. The main issue is that we don't pass the relevant table data down to QueryView.

UI issue I see on the autocomplete popup with overlapping icon & text. Screenshot's from Firefox, it seems even a little more pronounced on Safari

The resize handle doesn't appear on Mobile Safari on iPhone - I don't think that particularly matters though.

The textarea does get a weird border around it when focused on iPhone though.

The default focus styles appear to be

.c1.cm-editor.cm-focused { outline: 1px dotted #212121; }

Which I also see on desktop. Would be nice to changed to whatever the default UA textarea styles are to blend in better but I wouldn't recommend removing it entirely - just to keep the visual indication that the element is focused. Maybe followup material to have a theming pass

If you can get a version of this working with table and column autocompletion just using a static JavaScript object in the source code with the right tables and columns, I'm happy to take on the work of turning that static object into something that Datasette includes in the page itself with all of the correct values.

This version "sort of" works when on the main database page where the template passes the relevant data https://github.com/bgrins/datasette/commit/8431c98850c7a552dbcde2a4dd0c3dc942a97d25 by doing this and passing that into the schema object:

``` let TABLES_DATA = []; {% if tables is defined %}
TABLES_DATA = {{ tables | tojson(indent=2) }}; {% endif %}

// Turn into an object, shaped like https://github.com/codemirror/lang-sql/blob/ebf115fffdbe07f91465ccbd82868c587f8182bc/test/test-complete.ts#L27. const TABLES_SCHEMA = Object.fromEntries( new Map( TABLES_DATA.map((table) => { return [table.name, table.columns]; }) ).entries() ); ```

But there are a number of papercuts with it - it's not escaping table names with spaces (likely be fixable from the data being passed into the view) but mainly it doesn't seem to autocomplete columns. I think it might only want to do it when you first type the table name from my read of https://github.com/codemirror/lang-sql/blob/ebf115fffdbe07f91465ccbd82868c587f8182bc/test/test-complete.ts#L37. It's possible I'm just passing something wrong, but it may end up being something that needs feature work upstream.

Was just reviewing the SQL options and there's an upperCaseKeywords if we'd rather have SELECT vs select. Datasette seems to prefer lowercase so probably best to keep it as-is

I experimented with autocompleting the actual schema in https://github.com/bgrins/datasette/commit/8431c98850c7a552dbcde2a4dd0c3dc942a97d25, but it would need some work (current problems with it listed in the commit message there)

https://github.com/Sphinxxxx/cm-resize isn't compatible with 6. There's a suggestion to try using CSS resize in https://discuss.codemirror.net/t/resizing-codemirror-6/3265/2

extraKeys is done - Shift+Enter is added in the helper function, and it appears that the Tab behavior now defaults to what the Tab: false setting was doing (allowing it to escape to the form)

Should also minify the bundled output

This probably counts as a case study: https://github.com/eyeseast/spatial-data-cooking-show. Even has video.

Seriously, though, this workflow has become integral to my work with reporters and editors across USA TODAY Network. Very often, I get sent a folder of data in mixed formats, with a vague ask of how we should communicate some part of it to users. Datasette and its constellation of tools makes it easy to get a quick look at that data, run exploratory queries, map it and ask questions to figure out what's important to show. And then I export a version of the data that's exactly what I need for display.

I'm realizing I don't know if a virtual table will ever return a count. Maybe it depends on the implementation. For these three, just checking now, it'll always return zero.

That said, I'm not sure there's any downside to having them return zero and caching that. (They're hidden, too.)

It does work, though I think it's probably still worth excluding virtual tables that will always be zero. Here's the same inspection as before, now with --load-extension spatialite:

json { "alltheplaces": { "hash": "0843cfe414439ab903c22d1121b7ddbc643418c35c7f0edbcec82ef1452411df", "size": 963375104, "file": "alltheplaces.db", "tables": { "spatial_ref_sys": { "count": 6215 }, "spatialite_history": { "count": 18 }, "sqlite_sequence": { "count": 2 }, "geometry_columns": { "count": 3 }, "spatial_ref_sys_aux": { "count": 6164 }, "views_geometry_columns": { "count": 0 }, "virts_geometry_columns": { "count": 0 }, "geometry_columns_statistics": { "count": 3 }, "views_geometry_columns_statistics": { "count": 0 }, "virts_geometry_columns_statistics": { "count": 0 }, "geometry_columns_field_infos": { "count": 0 }, "views_geometry_columns_field_infos": { "count": 0 }, "virts_geometry_columns_field_infos": { "count": 0 }, "geometry_columns_time": { "count": 3 }, "geometry_columns_auth": { "count": 3 }, "views_geometry_columns_auth": { "count": 0 }, "virts_geometry_columns_auth": { "count": 0 }, "data_licenses": { "count": 10 }, "sql_statements_log": { "count": 0 }, "states": { "count": 56 }, "counties": { "count": 3234 }, "idx_states_geometry_rowid": { "count": 56 }, "idx_states_geometry_node": { "count": 3 }, "idx_states_geometry_parent": { "count": 2 }, "idx_counties_geometry_rowid": { "count": 3234 }, "idx_counties_geometry_node": { "count": 98 }, "idx_counties_geometry_parent": { "count": 97 }, "idx_places_geometry_rowid": { "count": 1236796 }, "idx_places_geometry_node": { "count": 38163 }, "idx_places_geometry_parent": { "count": 38162 }, "places": { "count": 1332609 }, "SpatialIndex": { "count": 0 }, "ElementaryGeometries": { "count": 0 }, "KNN": { "count": 0 }, "idx_states_geometry": { "count": 56 }, "idx_counties_geometry": { "count": 3234 }, "idx_places_geometry": { "count": 1236796 } } } }

Hi @simonw and thanks for the great tools you're publishing, your dedication is inspiring!

I work for the French Ministry of Culture on a surveying tool for objects protected for their historical value. It is part of a program building modern public services called beta.gouv.fr.

In that context I'm using data published by the Ministry that I have ingested into datasette and published on a free Fly instance : https://collectif-objets-datasette.fly.dev . I have also ingested another data set with infos about french cities on this instance so that I can perform joined queries.

The surveying tool synchronizes its data regularly from this datasette instance, and I also use it to perform queries when asked generic questions about the distribution of objects. (The data is not very accessible as it's undocumented and for internal usage mostly)

Here's how to get a list of virtual tables: https://stackoverflow.com/questions/46617118/how-to-fetch-names-of-virtual-tables

Realized the API explorer doesn't need the API key piece at all - it can work with standard cookie-based auth.

This also reflects how most plugins are likely to use this API, where they'll be adding JavaScript that uses fetch() to call the write API directly.

I agree (that's what I did with the previous insert plugin), maybe a complete example using fetch() in the documentation would be valuable as a “Getting started with the API” or similar?

I ran PRAGMA integrity_check and it returned ok. but then I tried restoring from a backup and I didn't get this IntegrityError: constraint failed error. So I think it was just something wrong with my database. If it happens again I will first try to reindex and see if that fixes the issue

Even more bizarre, the source db only has one record and the target table has no conflicting record:

875 0.3s lb:/ (main|✚2) [0|0]🌺 sqlite-utils tube_71.db 'select * from media where path = "https://archive.org/details/088ghostofachanceroygetssackedrevengeofthelivinglunchdvdripxvidphz"' | jq [ { "size": null, "time_created": null, "play_count": 1, "language": null, "view_count": null, "width": null, "height": null, "fps": null, "average_rating": null, "live_status": null, "age_limit": null, "uploader": null, "time_played": 0, "path": "https://archive.org/details/088ghostofachanceroygetssackedrevengeofthelivinglunchdvdripxvidphz", "id": "088ghostofachanceroygetssackedrevengeofthelivinglunchdvdripxvidphz/074 - Home Away from Home, Rainy Day Robot, Odie the Amazing DVDRip XviD [PhZ].mkv", "ie_key": "ArchiveOrg", "playlist_path": "https://archive.org/details/088ghostofachanceroygetssackedrevengeofthelivinglunchdvdripxvidphz", "duration": 1424.05, "tags": null, "title": "074 - Home Away from Home, Rainy Day Robot, Odie the Amazing DVDRip XviD [PhZ].mkv" } ] 875 0.3s lb:/ (main|✚2) [0|0]🥧 sqlite-utils video.db 'select * from media where path = "https://archive.org/details/088ghostofachanceroygetssackedrevengeofthelivinglunchdvdripxvidphz"' | jq []

I've been able to use this code successfully several times before so not sure what's causing the issue.

I guess the way that I'm handling multiple databases is an issue, though it hasn't ever inserted into the source db, not sure what's different. The only reasonable explanation is that it is trying to insert into the source db from the source db for some reason? Or maybe sqlite3 is checking the source db for primary key violation because the table name is the same

where did you see the limit as 999? I believe the limit has been 32766 for quite some time. If you could detect which one this could speed up batch insert of some types of data significantly

Ideally people could fix their data if they run into this issue.

If you are using filenames try convmv

convmv --preserve-mtimes -f utf8 -t utf8 --notest -i -r .

maybe this script will also help:

```py import argparse, shutil from pathlib import Path

import ftfy

from xklb import utils from xklb.utils import log

def parse_args() -> argparse.Namespace: parser = argparse.ArgumentParser() parser.add_argument("paths", nargs='*') parser.add_argument("--verbose", "-v", action="count", default=0) args = parser.parse_args()

log.info(utils.dict_filter_bool(args.__dict__))
return args

def rename_invalid_paths() -> None: args = parse_args()

for path in args.paths:
    log.info(path)
    for p in sorted([str(p) for p in Path(path).rglob("*")], key=len):
        fixed = ftfy.fix_text(p, uncurl_quotes=False).replace("\r\n", "\n").replace("\r", "\n").replace("\n", "")
        if p != fixed:
            try:
                shutil.move(p, fixed)
            except FileNotFoundError:
                log.warning("FileNotFound. %s", p)
            else:
                log.info(fixed)

if name == "main": rename_invalid_paths() ```

some good concrete use-cases in mind

I actually found myself wanting something like this the past couple days. The use-case was databases with slightly different schema but same table names.

I wonder if something like this would be enough for most people:

``` args = argparse.Namespace(source_dbs = ['dogs.db', 'cats.db']) target_db = sqlite_utils.Database("animals.db")

for source_db in args.source_dbs: db = sqlite_utils.Database(source_db) for table in db.table_names(): db[table].upsert_all(target_db[table].rows, alter=True) ```

The complexity grows from there. I can think of a lot of things that could go wrong. Maybe it would be best to always output to a brand new db so that people don't accidentally destroy their target.db when they make a mistake

here is a full script:

``` import argparse from pathlib import Path

from sqlite_utils import Database

def connect(args, conn=None, kwargs) -> Database: db = Database(conn or args.database, kwargs) with db.conn: db.conn.execute("PRAGMA main.cache_size = 8000") return db

def parse_args() -> argparse.Namespace: parser = argparse.ArgumentParser() parser.add_argument("database") parser.add_argument("dbs_folder") parser.add_argument("--db", "-db", help=argparse.SUPPRESS) parser.add_argument("--verbose", "-v", action="count", default=0) args = parser.parse_args()

if args.db:
    args.database = args.db
Path(args.database).touch()
args.db = connect(args)

return args

def merge_db(args, source_db): source_db = str(Path(source_db).resolve())

s_db = connect(argparse.Namespace(database=source_db, verbose = args.verbose))
for table in s_db.table_names():
    data = s_db[table].rows
    args.db[table].insert_all(data, alter=True, replace=True)

args.db.conn.commit()

def merge_directory(): args = parse_args() source_dbs = list(Path(args.dbs_folder).glob('*.db')) for s_db in source_dbs: merge_db(args, s_db)

if name == 'main': merge_directory() ```

I updated datasette-publish-vercel to 0.14.2 in requirements.txt

And the site is back up!

Is there a way that we can get some sort of notice when something like this will have critical impact on website function?

should this issue be under https://github.com/simonw/datasette-publish-vercel/issues ?

Perhaps I just need to update: datasette-publish-vercel==0.11 in requirements.txt?

I'll try that and see what happens...

Are you saying that I can build a container, but then when I run it and it does datasette serve -i data.db ... it will somehow modify the image, or create a new modified filesystem layer in the runtime environment, as a result of running that serve command?

Somehow, datasette serve -i data.db will lead to the data.db being modified, which will trigger a copy-on-write of data.db into the read-write layer of the container.

I don't understand how that happens.

it kind of feels like a bug in sqlite, but i can't quite follow the sqlite code.

as far as i can tell, this is where the "immutable" argument is used in sqlite:

c pPager->noLock = sqlite3_uri_boolean(pPager->zFilename, "nolock", 0); if( (iDc & SQLITE_IOCAP_IMMUTABLE)!=0 || sqlite3_uri_boolean(pPager->zFilename, "immutable", 0) ){ vfsFlags |= SQLITE_OPEN_READONLY; goto act_like_temp_file; }

so it does set the read only flag, but then has a goto.

Relevant sqlite forum thread: https://www.sqlite.org/forum/forumpost/02f7bda329f41e30451472421cf9ce7f715b768ce3db02797db1768e47950d48

Yeah, every time I see something cool done with triggers, I remember that I need to start using triggers.

This could use a new plugin hook, too. I don't want to complicate your life too much, but for things like GIS, I'd want a way to turn regular JSON into SpatiaLite geometries or combine X/Y coordinates into point geometries and such. Happy to help however I can.

@eyeseast Maybe you could do this with triggers? Like you can insert JSON-friendly data into a "raw" table, and create a trigger that transforms that inserted data into the proper table

Here's an example:

```sql -- meant to be updated from a Datasette insert create table points_raw(longitude int, latitude int);

-- the target table with proper spatliate geometries create table points(point geometry);

CREATE TRIGGER insert_points_raw INSERT ON points_raw BEGIN insert into points(point) values (makepoint(new.longitude, new.latitude)) END; ```

You could then POST a new row to points_raw like this: POST /db/points_raw Authorization: Bearer xxx Content-Type: application/json { "row": { "longitude": 27.64356, "latitude": -47.29384 } }

Then SQLite with run the trigger and insert a new row in points with the correct geometry point. Downside is you'd have duplicated data with points_raw, but maybe it could be a TEMP table (or have a cron that deletes all rows from that table every so often?)

The problem with how it is currently is that the transformed fts table will return incorrect results (unless the table was only 1 row or something), even if create_triggers was enabled previously. Maybe the simplest solution is to disable fts on a transformed table rather than try to recreate it? Thoughts?

That's reasonable. Canned queries and custom endpoints are certainly going to give more room for specific needs.

This could use a new plugin hook, too. I don't want to complicate your life too much, but for things like GIS, I'd want a way to turn regular JSON into SpatiaLite geometries or combine X/Y coordinates into point geometries and such. Happy to help however I can.

nevermind it was because I was running db[table].transform. The fts tables would still be there but the triggers would be dropped

when you are running from docker, you always will want to run as mode=ro because the same thing that is causing duplication in the inspect layer will cause duplication in the final container read/write layer when datasette serve runs.

@simonw, should i open up a new issue for investigating the differences between "immutable=1" and "mode=ro" and possibly switching to "mode=ro". Or would you like to keep that conversation in this issue?

switching from immutable=1 to mode=ro completely addressed this. see https://github.com/simonw/datasette/issues/1836#issuecomment-1271100651 for details.

yes, and i also think that this is causing the apparent memory problems in #1480. when the container starts up, it will make some operation on the database in immutable mode which apparently makes some small change to the db file. if that's so, then the db files will be copied to the read/write layer which counts against cloudrun's memory allocation!

running a test of that now.

this completely addressed #1480

the only mode that publish cloudrun supports right now is immutable

when i hack the connect method to open non mutable files with "mode=ro" and not "immutable=1" https://github.com/simonw/datasette/blob/eff112498ecc499323c26612d707908831446d25/datasette/database.py#L79

then:

bash 870 B RUN /bin/sh -c datasette inspect nlrb.db --inspect-file inspect-data.json

the datasette inspect layer is only the size of the json file!

yes, and i also think that this is causing the apparent memory problems in #1480. when the container starts up, it will make some operation on the database in immutable mode which apparently makes some small change to the db file. if that's so, then the db files will be copied to the read/write layer which counts against cloudrun's memory allocation!

running a test of that now.

and if we try immutable mode, which is how things are opened by datasette inspect we duplicate the files!!!

```python

test_sql_immutable.py

import sqlite3 import sys

db_name = sys.argv[1] conn = sqlite3.connect(f'file:/app/{db_name}?immutable=1', uri=True) cur = conn.cursor() cur.execute('select count(*) from filing') print(cur.fetchone()) ```

fascinatingly, telling python to open sqlite in read only mode makes this layer have a size of 0

```python

test_sql_ro.py

import sqlite3 import sys

db_name = sys.argv[1] conn = sqlite3.connect(f'file:/app/{db_name}?mode=ro', uri=True) cur = conn.cursor() cur.execute('select count(*) from filing') print(cur.fetchone()) ```

that's quite weird because setting the file permissions to read only didn't do anything. (on reflection, that chmod isn't doing anything because the dockerfile commands are run as root)

okay, some progress!! running some sql against a database file causes that file to get duplicated even if it doesn't apparently change the file.

make a little test script like this:

```python

test_sql.py

import sqlite3 import sys

db_name = sys.argv[1] conn = sqlite3.connect(f'file:/app/{db_name}', uri=True) cur = conn.cursor() cur.execute('select count(*) from filing') print(cur.fetchone()) ```

then

docker RUN python test_sql.py nlrb.db

produced a layer that's the same size as nlrb.db!!