issues
555 rows where repo = 107914493 and state = "open" sorted by milestone
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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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632724154 | MDU6SXNzdWU2MzI3MjQxNTQ= | 805 | Writable canned queries live demo on Glitch | simonw 9599 | open | 0 | 11 | 2020-06-06T20:52:13Z | 2020-07-01T22:44:01Z | OWNER | Needs to run somewhere with a mutable disk drive, so not Cloud Run or Heroku or Vercel. I think I'll put it on Glitch. |
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634663505 | MDU6SXNzdWU2MzQ2NjM1MDU= | 815 | Group permission checks by request on /-/permissions debug page | simonw 9599 | open | 0 | 8 | 2020-06-08T14:25:23Z | 2020-12-17T22:06:48Z | OWNER | Now that we're making a LOT more permission checks (on the DB index page we do a check for every listed table for example) the Can make this more readable by grouping permission checks by request. Have most recent request at the top of the page but the permission requests within that page sorted chronologically by most recent last. |
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638238548 | MDU6SXNzdWU2MzgyMzg1NDg= | 845 | Code coverage should ignore files in .coveragerc | simonw 9599 | open | 0 | 0 | 2020-06-13T21:45:42Z | 2020-06-13T21:46:03Z | OWNER | I'm not sure why this is, but the code coverage I have running in a GitHub Action doesn't take my Here's the bit that's ignored: https://github.com/simonw/datasette/blob/cf7a2bdb404734910ec07abc7571351a2d934828/.coveragerc#L1-L2 As a result my coverage score is 84%, when it should be 92%:
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639993467 | MDU6SXNzdWU2Mzk5OTM0Njc= | 850 | Proof of concept for Datasette on AWS Lambda with EFS | simonw 9599 | open | 0 | 25 | 2020-06-16T21:48:31Z | 2020-06-16T23:52:16Z | OWNER | If Datasette can run on Lambda with access to EFS it could both read AND write large databases there. |
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642296989 | MDU6SXNzdWU2NDIyOTY5ODk= | 856 | Consider pagination of canned queries | simonw 9599 | open | 0 | 3 | 2020-06-20T03:15:59Z | 2021-05-21T14:22:41Z | OWNER | The new |
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642388564 | MDU6SXNzdWU2NDIzODg1NjQ= | 858 | publish heroku does not work on Windows 10 | simonlau 870912 | open | 0 | 7 | 2020-06-20T14:40:28Z | 2021-06-10T17:44:09Z | NONE | When executing "datasette publish heroku schools.db" on Windows 10, I get the following error
to
as well as the other |
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642572841 | MDU6SXNzdWU2NDI1NzI4NDE= | 859 | Database page loads too slowly with many large tables (due to table counts) | abdusco 3243482 | open | 0 | 21 | 2020-06-21T14:23:17Z | 2021-08-25T21:59:55Z | CONTRIBUTOR | Hey, I have a database that I save in HTML from couple of web scrapers. There are around 200k+, 50+ rows in a couple of tables, with sqlite file weighing around 600MB. The app runs on a VPS with 2 core CPU, 4GB RAM and refreshing database page regularly takes more than 10 seconds. I was suspecting that counting tables was the culprit, but manually running I've looked at the source code. There's a check for index page for mutable databases larger than 100MB https://github.com/simonw/datasette/blob/799c5d53570d773203527f19530cf772dc2eeb24/datasette/views/index.py#L15 but this check is not performed for database page.
I've manually crippled now the page loads in <100ms. Is it possible to apply size check on database page too? /-/versions output{ "python": { "version": "3.8.0", "full": "3.8.0 (default, Oct 28 2019, 16:14:01) \n[GCC 8.3.0]" }, "datasette": { "version": "0.44" }, "asgi": "3.0", "uvicorn": "0.11.5", "sqlite": { "version": "3.22.0", "fts_versions": [ "FTS5", "FTS4", "FTS3" ], "extensions": { "json1": null }, "compile_options": [ "COMPILER=gcc-7.4.0", "ENABLE_COLUMN_METADATA", "ENABLE_DBSTAT_VTAB", "ENABLE_FTS3", "ENABLE_FTS3_PARENTHESIS", "ENABLE_FTS3_TOKENIZER", "ENABLE_FTS4", "ENABLE_FTS5", "ENABLE_JSON1", "ENABLE_LOAD_EXTENSION", "ENABLE_PREUPDATE_HOOK", "ENABLE_RTREE", "ENABLE_SESSION", "ENABLE_STMTVTAB", "ENABLE_UNLOCK_NOTIFY", "ENABLE_UPDATE_DELETE_LIMIT", "HAVE_ISNAN", "LIKE_DOESNT_MATCH_BLOBS", "MAX_SCHEMA_RETRY=25", "MAX_VARIABLE_NUMBER=250000", "OMIT_LOOKASIDE", "SECURE_DELETE", "SOUNDEX", "TEMP_STORE=1", "THREADSAFE=1" ] } } |
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643510821 | MDU6SXNzdWU2NDM1MTA4MjE= | 862 | Set an upper limit on total facet suggestion time for a page | simonw 9599 | open | 0 | 1 | 2020-06-23T03:57:55Z | 2020-06-23T03:58:48Z | OWNER | If a table has 100 columns the facet suggestion code will currently run 100 times, taking a max of So for 100 columns, that's 100 * 50ms = 5s total time that might be spent attempting to calculate facets on a large table! I should implement a hard upper limit on the total amount of time taken suggesting facets - probably of around 500ms. If it takes longer than that the remaining columns will not be considered. |
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646448486 | MDExOlB1bGxSZXF1ZXN0NDQwNzM1ODE0 | 868 | initial windows ci setup | joshmgrant 702729 | open | 0 | 3 | 2020-06-26T18:49:13Z | 2021-07-10T23:41:43Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/868 | Picking up the work done on #557 with a new PR. Seeing if I can get this working. |
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646737558 | MDU6SXNzdWU2NDY3Mzc1NTg= | 870 | Refactor default views to use register_routes | simonw 9599 | open | 0 | 10 | 2020-06-27T18:53:12Z | 2022-03-15T20:07:18Z | OWNER | It would be much cleaner if Datasette's default views were all registered using the new
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647095487 | MDU6SXNzdWU2NDcwOTU0ODc= | 873 | "datasette -p 0 --root" gives the wrong URL | simonw 9599 | open | 0 | 14 | 2020-06-29T04:03:06Z | 2020-08-18T17:26:10Z | OWNER |
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648659536 | MDU6SXNzdWU2NDg2NTk1MzY= | 881 | Figure out why restore_working_directory is needed in some places | simonw 9599 | open | 0 | 0 | 2020-07-01T04:19:25Z | 2020-07-01T04:19:25Z | OWNER | This is a frustrating workaround. I have a /usr/local/opt/python/Frameworks/Python.framework/Versions/3.7/lib/python3.7/contextlib.py:112: in enter return next(self.gen) self = <click.testing.CliRunner object at 0x1135ad110>
I'd like to not have to do this. |
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648749062 | MDExOlB1bGxSZXF1ZXN0NDQyNTA1MDg4 | 883 | Skip counting hidden tables | abdusco 3243482 | open | 0 | 4 | 2020-07-01T07:38:08Z | 2020-07-02T00:25:44Z | CONTRIBUTOR | simonw/datasette/pulls/883 | Potential fix for https://github.com/simonw/datasette/issues/859. Disabling table counts for hidden tables speeds up database page quite a bit. In my setup it reduced load time by 2/3 (~300 -> ~90ms) |
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649429772 | MDU6SXNzdWU2NDk0Mjk3NzI= | 886 | Reconsider how _actor_X magic parameter deals with missing values | simonw 9599 | open | 0 | 2 | 2020-07-02T00:00:38Z | 2020-09-11T21:35:26Z | OWNER | I had to build a custom @hookimpl
def register_magic_parameters():
return [
("actorornull", actorornull),
]
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657572753 | MDU6SXNzdWU2NTc1NzI3NTM= | 894 | ?sort=colname~numeric to sort by by column cast to real | simonw 9599 | open | 0 | 21 | 2020-07-15T18:47:48Z | 2021-08-20T02:07:53Z | OWNER | If a text column actually contains numbers, being able to "sort by column, treated as numeric" would be really useful. Probably depends on column actions enabled by #690 |
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659873662 | MDU6SXNzdWU2NTk4NzM2NjI= | 898 | datasette.utils.testing module | simonw 9599 | open | 0 | 2 | 2020-07-18T03:53:24Z | 2020-07-18T03:57:46Z | OWNER | The unit tests for plugins could benefit from reusing code from Datasette's own testing fixtures, e.g.:
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670209331 | MDU6SXNzdWU2NzAyMDkzMzE= | 913 | Mechanism for passing additional options to `datasette my.db` that affect plugins | simonw 9599 | open | 0 | 5 | 2020-07-31T20:38:26Z | 2021-01-04T20:04:11Z | OWNER |
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672421411 | MDU6SXNzdWU2NzI0MjE0MTE= | 916 | Support reverse pagination (previous page, has-previous-items) | simonw 9599 | open | 0 | 7 | 2020-08-04T00:32:06Z | 2021-04-03T23:43:11Z | OWNER | I need this for
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675594325 | MDU6SXNzdWU2NzU1OTQzMjU= | 917 | Idea: "datasette publish" option for "only if the data has changed | simonw 9599 | open | 0 | 0 | 2020-08-08T21:58:27Z | 2020-08-08T21:58:27Z | OWNER | This is a pattern I often find myself needing. I usually implement this in GitHub Actions like this:
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691537426 | MDU6SXNzdWU2OTE1Mzc0MjY= | 959 | Internals API idea: results.dicts in addition to results.rows | simonw 9599 | open | 0 | 0 | 2020-09-03T00:50:17Z | 2020-09-03T00:50:17Z | OWNER | I just wrote this code:
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696908389 | MDU6SXNzdWU2OTY5MDgzODk= | 961 | Verification checks for metadata.json on startup | simonw 9599 | open | 0 | 2 | 2020-09-09T15:21:53Z | 2020-09-09T15:24:31Z | OWNER | I lost a bunch of time yesterday trying to figure out why a Datasette instance wasn't starting up - it turned out it was because I had a Catching these on startup would be good. |
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705840673 | MDU6SXNzdWU3MDU4NDA2NzM= | 972 | Support faceting against arbitrary SQL queries | simonw 9599 | open | 0 | 1 | 2020-09-21T19:00:43Z | 2021-12-15T18:02:20Z | OWNER |
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707849175 | MDU6SXNzdWU3MDc4NDkxNzU= | 974 | static assets and favicon aren't cached by the browser | obra 45416 | open | 0 | 1 | 2020-09-24T04:44:55Z | 2022-01-13T22:21:28Z | NONE | Using datasette to solve some frustrating problems with our fulfillment provider today, I was surprised to see repeated requests for assets under /-/static and the favicon. While it won't likely be a huge performance bottleneck, I bet datasette would feel a bit zippier if you had Uvicorn serving up some caching-related headers telling the browser it was safe to cache static assets. |
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712202333 | MDU6SXNzdWU3MTIyMDIzMzM= | 982 | SQL editor should allow execution of write queries, if you have permission | simonw 9599 | open | 0 | 2 | 2020-09-30T19:04:35Z | 2022-01-13T22:21:29Z | OWNER | The UI concept: if you have write permission then the existing SQL editor gets an "execute write" checkbox underneath it. JavaScript can spot if you appear to be trying to execute an UPDATE or INSERT or DELETE query and check that checkbox for you. If you link to a query page with a non-SELECT then that query will be displayed in the box ready for you to POST submit it. The page will also then get "cannot be embedded" headers to protect against clickjacking. |
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712260429 | MDU6SXNzdWU3MTIyNjA0Mjk= | 983 | JavaScript plugin hooks mechanism similar to pluggy | simonw 9599 | open | 0 | 47 | 2020-09-30T20:32:43Z | 2021-01-25T04:43:58Z | OWNER |
Originally posted by @simonw in https://github.com/simonw/datasette/issues/981#issuecomment-701616922 |
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712368432 | MDU6SXNzdWU3MTIzNjg0MzI= | 984 | Review accessibility of new column action menus | simonw 9599 | open | 0 | 1 | 2020-09-30T23:56:44Z | 2020-10-01T00:01:36Z | OWNER | Feature added in #981 |
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712984738 | MDU6SXNzdWU3MTI5ODQ3Mzg= | 987 | Documented HTML hooks for JavaScript plugin authors | simonw 9599 | open | 0 | 7 | 2020-10-01T16:10:14Z | 2021-01-25T04:00:03Z | OWNER | In #981 I added |
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714377268 | MDU6SXNzdWU3MTQzNzcyNjg= | 991 | Redesign application homepage | simonw 9599 | open | 0 | 7 | 2020-10-04T18:48:45Z | 2021-01-26T19:06:36Z | OWNER | Most Datasette instances only host a single database, but the current homepage design assumes that it should leave plenty of space for multiple databases: Reconsider this design - should the default show more information? The Covid-19 Datasette homepage looks particularly sparse I think: https://covid-19.datasettes.com/ |
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718238967 | MDU6SXNzdWU3MTgyMzg5Njc= | 1003 | from_json jinja2 filter | mhalle 649467 | open | 0 | 4 | 2020-10-09T15:30:58Z | 2020-10-09T17:17:07Z | NONE | When JSON fields are rendered in a jinja2 template, it is handy to be able to manipulate them as data (e.g., iterate over an array of values). Ansible has a "from_json" function, which just called json.loads. It's a trivial as a datasette plugin, but it seems generally useful. Does it makes sense to add it directly into the app? |
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718272593 | MDU6SXNzdWU3MTgyNzI1OTM= | 1007 | set-env and add-path commands have been deprecated | simonw 9599 | open | 0 | 1 | 2020-10-09T16:21:18Z | 2020-10-09T16:23:51Z | OWNER | https://github.blog/changelog/2020-10-01-github-actions-deprecating-set-env-and-add-path-commands/
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718395987 | MDExOlB1bGxSZXF1ZXN0NTAwNzk4MDkx | 1008 | Add json_loads and json_dumps jinja2 filters | mhalle 649467 | open | 0 | 1 | 2020-10-09T20:11:34Z | 2020-12-15T02:30:28Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/1008 | datasette 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/1008/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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718910318 | MDU6SXNzdWU3MTg5MTAzMTg= | 1015 | Research: could Datasette install its own plugins? | simonw 9599 | open | 0 | 1 | 2020-10-11T19:33:06Z | 2020-10-11T19:35:04Z | OWNER | It would be cool if Datasette could offer a plugin browsing interface where users could install plugins by clicking "Install" on them - similar to how VS Code extensions work. |
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721068929 | MDU6SXNzdWU3MjEwNjg5Mjk= | 1020 | Method for datasette.client() to forward on authentication | simonw 9599 | open | 0 | 6 | 2020-10-14T01:47:49Z | 2020-10-19T22:45:01Z | OWNER | I stumbled into this while working on Dogsheep Beta: the requests it re-dispatched through https://github.com/dogsheep/dogsheep-beta/blob/bed9df2b3ef68189e2e445427721a28f4e9b4887/dogsheep_beta/init.py#L223-L231 This made me think that |
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723982480 | MDExOlB1bGxSZXF1ZXN0NTA1NDUzOTAw | 1030 | Make `package` command deal with a configuration directory argument | frankier 299380 | open | 0 | 1 | 2020-10-18T11:07:02Z | 2020-10-19T08:01:51Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/1030 | Currently if we run |
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724878151 | MDU6SXNzdWU3MjQ4NzgxNTE= | 1032 | Bring date parsing into Datasette core | simonw 9599 | open | 0 | 8 | 2020-10-19T18:30:45Z | 2020-10-19T19:37:55Z | OWNER | Currently this is mainly handled by a plugin - https://github.com/simonw/datasette-dateutil - but I realise now that this really needs to be core functionality. See also Twitter thread: https://twitter.com/simonw/status/1318234808653213696 |
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728905098 | MDU6SXNzdWU3Mjg5MDUwOTg= | 1048 | Documentation and unit tests for urls.row() urls.row_blob() methods | simonw 9599 | open | 0 | 7 | 2020-10-25T00:13:53Z | 2022-07-10T16:23:57Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1048/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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733999615 | MDU6SXNzdWU3MzM5OTk2MTU= | 1079 | Handle long breadcrumbs better with new menu | simonw 9599 | open | 0 | 1 | 2020-11-01T15:57:41Z | 2022-01-13T22:21:29Z | OWNER | On this page when signed in as root: https://latest.datasette.io/fixtures/roadside_attraction_characteristics/1 |
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735852274 | MDU6SXNzdWU3MzU4NTIyNzQ= | 1082 | DigitalOcean buildpack memory errors for large sqlite db? | justmars 39538958 | open | 0 | 3 | 2020-11-04T06:35:32Z | 2020-11-04T19:35:44Z | NONE |
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736365306 | MDU6SXNzdWU3MzYzNjUzMDY= | 1083 | Advanced CSV export for arbitrary queries | simonw 9599 | open | 0 | 2 | 2020-11-04T19:23:05Z | 2021-06-17T18:12:31Z | OWNER | There's no link to download the CSV file - the table page has that as an advanced export option, but this is missing from the query page. |
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741231849 | MDU6SXNzdWU3NDEyMzE4NDk= | 1087 | Idea: ?_extra=urls for getting back URLs to useful things | simonw 9599 | open | 0 | 0 | 2020-11-12T02:55:41Z | 2021-12-15T18:06:16Z | OWNER | Working on https://github.com/simonw/datasette-search-all/issues/10 made me realize that sometimes it can be difficult to calculate the URL for a database, table or row within Datasette. It would be useful to have an optional extra JSON extension (using |
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741862364 | MDU6SXNzdWU3NDE4NjIzNjQ= | 1090 | Custom widgets for canned query forms | simonw 9599 | open | 0 | 3 | 2020-11-12T19:21:07Z | 2021-03-27T16:25:25Z | OWNER | This is an idea that was cut from the first version of writable canned queries:
Originally posted by @simonw in https://github.com/simonw/datasette/issues/698#issuecomment-608125928 |
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743359646 | MDU6SXNzdWU3NDMzNTk2NDY= | 1096 | TSV should be a default export option | simonw 9599 | open | 0 | 1 | 2020-11-15T22:24:02Z | 2021-06-17T18:12:31Z | OWNER | Refs #1095 |
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743371103 | MDU6SXNzdWU3NDMzNzExMDM= | 1099 | Support linking to compound foreign keys | simonw 9599 | open | 0 | 6 | 2020-11-15T23:23:17Z | 2023-01-25T00:58:26Z | OWNER | Reported as a bug in #1098 because they caused 500 errors - but it would be even better if Datasette could hyperlink to related rows via compound foreign keys. |
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751195017 | MDU6SXNzdWU3NTExOTUwMTc= | 1111 | Accessing a database's `.json` is slow for very large SQLite files | asg017 15178711 | open | 0 | 3 | 2020-11-26T00:27:27Z | 2021-01-04T19:57:53Z | CONTRIBUTOR | I have a SQLite DB that's pretty large, 23GB and something like 300 million rows. I expect that most queries I run on it will be slow, which is fine, but there are some things that Datasette does that makes working with the DB very slow. Specifically, when I access the
I suspect this is because a ```bash $ time sqlite3 out.db < <(echo "select count(*) from PageviewsHour;") 362794272 real 0m44.523s user 0m2.497s sys 0m6.703s ``` I'm using the
More than happy to debug further, or send a PR if you like one of the proposals above! |
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756875827 | MDU6SXNzdWU3NTY4NzU4Mjc= | 1129 | Fix footer to the bottom of the page | abdusco 3243482 | open | 0 | 0 | 2020-12-04T07:28:07Z | 2020-12-04T16:04:29Z | CONTRIBUTOR | Footer doesn't stick to the bottom if the body content isn't long enough to reach the end of viewport. This can be fixed using flexbox. ```css body { min-height: 100vh; display: flex; flex-direction: column; } .content { flex-grow: 1; } ``` |
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756876238 | MDExOlB1bGxSZXF1ZXN0NTMyMzQ4OTE5 | 1130 | Fix footer not sticking to bottom in short pages | abdusco 3243482 | open | 0 | 4 | 2020-12-04T07:29:01Z | 2021-06-15T13:27:48Z | CONTRIBUTOR | simonw/datasette/pulls/1130 | datasette 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/1130/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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763361458 | MDU6SXNzdWU3NjMzNjE0NTg= | 1142 | "Stream all rows" is not at all obvious | simonw 9599 | open | 0 | 9 | 2020-12-12T06:24:57Z | 2021-06-17T18:12:31Z | OWNER | Got a question about how to download all rows - the current option isn't at all clear. |
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765637324 | MDU6SXNzdWU3NjU2MzczMjQ= | 1144 | JavaScript to help plugins interact with the fragment part of the URL | simonw 9599 | open | 0 | 1 | 2020-12-13T20:36:06Z | 2020-12-14T14:47:11Z | OWNER | Suggested by Markus Holtermann on Twitter, who is building https://github.com/MarkusH/datasette-chartjs
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770598024 | MDU6SXNzdWU3NzA1OTgwMjQ= | 1152 | Efficiently calculate list of databases/tables a user can view | simonw 9599 | open | 0 | 12 | 2020-12-18T06:13:01Z | 2021-12-27T23:04:31Z | OWNER |
Originally posted by @simonw in https://github.com/simonw/datasette/issues/1150#issuecomment-747864831 |
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775666296 | MDU6SXNzdWU3NzU2NjYyOTY= | 1160 | "datasette insert" command and plugin hook | simonw 9599 | open | 0 | 23 | 2020-12-29T02:37:03Z | 2021-06-17T18:12:32Z | OWNER | Tools for loading data into Datasette currently mostly exist as separate utilities - Bringing these into Datasette could have some interesting properties:
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776101101 | MDU6SXNzdWU3NzYxMDExMDE= | 1161 | Update a whole bunch of links to datasette.io instead of datasette.readthedocs.io | simonw 9599 | open | 0 | 1 | 2020-12-29T21:47:31Z | 2020-12-29T21:49:57Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1161/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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776128269 | MDU6SXNzdWU3NzYxMjgyNjk= | 1162 | First working version of "datasette insert data.db file.csv" | simonw 9599 | open | 0 | 0 | 2020-12-29T23:20:11Z | 2021-06-17T18:12:32Z | OWNER | Refs #1160 |
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776128565 | MDU6SXNzdWU3NzYxMjg1NjU= | 1163 | "datasette insert data.db url-to-csv" | simonw 9599 | open | 0 | 1 | 2020-12-29T23:21:21Z | 2021-06-17T18:12:32Z | OWNER | Refs #1160 - get filesystem imports working first for #1162, then add import-from-URL. |
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776634318 | MDU6SXNzdWU3NzY2MzQzMTg= | 1164 | Mechanism for minifying JavaScript that ships with Datasette | simonw 9599 | open | 0 | 9 | 2020-12-30T20:59:06Z | 2022-01-13T22:21:29Z | OWNER |
Originally posted by @simonw in https://github.com/simonw/datasette/issues/983#issuecomment-752748496 |
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776635426 | MDU6SXNzdWU3NzY2MzU0MjY= | 1165 | Mechanism for executing JavaScript unit tests | simonw 9599 | open | 0 | 9 | 2020-12-30T21:02:34Z | 2022-01-13T22:21:29Z | OWNER |
Originally posted by @simonw in https://github.com/simonw/datasette/issues/983#issuecomment-752757289 |
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777140799 | MDU6SXNzdWU3NzcxNDA3OTk= | 1166 | Adopt Prettier for JavaScript code formatting | simonw 9599 | open | 0 | 10 | 2020-12-31T21:25:27Z | 2022-01-13T22:22:18Z | OWNER | https://prettier.io/ - I'm going to go with 2 spaces. |
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777333388 | MDU6SXNzdWU3NzczMzMzODg= | 1168 | Mechanism for storing metadata in _metadata tables | simonw 9599 | open | 0 | 21 | 2021-01-01T18:47:27Z | 2023-09-28T18:29:05Z | OWNER | Original title: Perhaps metadata should all live in a Inspired by #1150 - metadata should be exposed as an API, and for large Datasette instances that API may need to be paginated. So why not expose it through an in-memory database table? One catch to this: plugins. #860 aims to add a plugin hook for metadata. But if the metadata comes from an in-memory table, how do the plugins interact with it? The need to paginate over metadata does make a plugin hook that returns metadata for an individual table seem less wise, since we don't want to have to do 10,000 plugin hook invocations to show a list of all metadata. If those plugins write directly to the in-memory table how can their contributions survive the server restarting? |
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778450486 | MDU6SXNzdWU3Nzg0NTA0ODY= | 1171 | GitHub Actions workflow to build and sign macOS binary executables | simonw 9599 | open | 0 | 8 | 2021-01-04T23:36:59Z | 2021-01-07T19:36:00Z | OWNER | Using PyInstaller, as explored in #93 and https://til.simonwillison.net/python/packaging-pyinstaller The bigger challenge will be the code signing bit. I'll need a Apple Developer account ($99/year) and some extensive CI fiddling. |
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778530523 | MDU6SXNzdWU3Nzg1MzA1MjM= | 1172 | /-/static should be excluded from auth and permission checks | simonw 9599 | open | 0 | 0 | 2021-01-05T02:53:41Z | 2021-01-05T02:53:41Z | OWNER | I want to set far future / immutable cache headers on everything served from This has security implications since it will be possible to see what plugins are installed by checking for known static URLs. I'm fine with that - performance is more important here. |
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778682317 | MDU6SXNzdWU3Nzg2ODIzMTc= | 1173 | GitHub Actions workflow to build manylinux binary | simonw 9599 | open | 0 | 1 | 2021-01-05T07:41:11Z | 2021-01-05T07:41:43Z | OWNER | Refs #1171 and #93 |
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779156520 | MDU6SXNzdWU3NzkxNTY1MjA= | 1175 | Use structlog for logging | simonw 9599 | open | 0 | 4 | 2021-01-05T15:11:36Z | 2022-07-26T12:52:10Z | OWNER | To solve #241 JSON logging. |
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780278550 | MDU6SXNzdWU3ODAyNzg1NTA= | 1179 | Make original path available to render hooks | simonw 9599 | open | 0 | 8 | 2021-01-06T08:31:45Z | 2021-01-25T04:44:33Z | OWNER | https://github.com/simonw/datasette-export-notebook/blob/0.1/datasette_export_notebook/init.py
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780767542 | MDU6SXNzdWU3ODA3Njc1NDI= | 1180 | Lazily evaluated arguments for call_with_supported_arguments | simonw 9599 | open | 0 | 2 | 2021-01-06T18:43:34Z | 2021-01-07T18:56:24Z | OWNER | While building https://github.com/simonw/datasette-export-notebook I thought it would be nice to be able to show a count of exported records on the page "This will stream 10,422 records to your notebook". None of the documented arguments on https://docs.datasette.io/en/0.53/plugin_hooks.html#register-output-renderer-datasette expose the count. The closest is So, idea: if your defined render function takes a To implement this I would need to teach the |
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782708469 | MDU6SXNzdWU3ODI3MDg0Njk= | 1183 | Take advantage of sqlite-utils cached table counts, if available | simonw 9599 | open | 0 | 2 | 2021-01-09T23:51:48Z | 2021-01-12T02:42:08Z | OWNER | sqlite-utils 3.2 now has a mechanism for creating a https://sqlite-utils.datasette.io/en/stable/python-api.html#cached-table-counts-using-triggers |
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787104850 | MDU6SXNzdWU3ODcxMDQ4NTA= | 1192 | Form Plugin for in-depth Datasette Querying | tomershvueli 1024355 | open | 0 | 0 | 2021-01-15T18:24:50Z | 2021-01-15T18:24:50Z | NONE | I envision a sort of easy-to-build form plugin that would be able to map a user's inputs to different fields/columns in a Datasette database. |
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787173276 | MDU6SXNzdWU3ODcxNzMyNzY= | 1193 | Research plugin hook for alternative database backends | simonw 9599 | open | 0 | 1 | 2021-01-15T20:27:50Z | 2021-03-12T01:01:54Z | OWNER | I started exploring what Datasette would like running against PostgreSQL in #670 and @dazzag24 did some work on Parquet described in #657. I had initially thought this was WAY too much additional complexity, but I'm beginning to think that the A bigger issue is SQL generation, but I realized that most of Datasette's SQL generation code exists just in the Very unlikely for this to make it into Datasette 1.0, but maybe this would be the defining feature of Datasette 2.0? |
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789336592 | MDU6SXNzdWU3ODkzMzY1OTI= | 1195 | view_name = "query" for the query page | simonw 9599 | open | 0 | 4 | 2021-01-19T20:21:36Z | 2021-01-25T04:40:08Z | OWNER | It uses |
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791237799 | MDU6SXNzdWU3OTEyMzc3OTk= | 1196 | Access Denied Error in Windows | QAInsights 2826376 | open | 0 | 2 | 2021-01-21T15:40:40Z | 2021-04-14T19:28:38Z | NONE | I am trying to publish a db to vercel. But while issuing the below command throwing I am using PyCharm and Python 3.9. I have reinstalled both and launched PyCharm as Admin in Windows 10. But still the issue persists. Issued command PS: localhost is working fine. |
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792652391 | MDU6SXNzdWU3OTI2NTIzOTE= | 1199 | Experiment with PRAGMA mmap_size=N | simonw 9599 | open | 0 | 2 | 2021-01-23T21:24:09Z | 2021-07-17T17:39:17Z | OWNER | https://sqlite.org/mmap.html - SQLite supports memory-mapped I/O but it's disabled by default. The It would be very interesting to understand the impact this could have on Datasette performance for various different shapes of data. |
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792890765 | MDU6SXNzdWU3OTI4OTA3NjU= | 1200 | ?_size=10 option for the arbitrary query page would be useful | simonw 9599 | open | 0 | 2 | 2021-01-24T20:55:35Z | 2021-02-11T03:13:59Z | OWNER | https://latest.datasette.io/fixtures?sql=select+*+from+compound_three_primary_keys&_size=10 - Would also be good if it persisted in a hidden form field. |
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793002853 | MDExOlB1bGxSZXF1ZXN0NTYwNzYwMTQ1 | 1204 | WIP: Plugin includes | simonw 9599 | open | 0 | 3 | 2021-01-25T03:59:06Z | 2021-12-17T07:10:49Z | OWNER | simonw/datasette/pulls/1204 | Refs #1191 Next steps:
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795367402 | MDU6SXNzdWU3OTUzNjc0MDI= | 1209 | v0.54 500 error from sql query in custom template; code worked in v0.53; found a workaround | jrdmb 11788561 | open | 0 | 1 | 2021-01-27T19:08:13Z | 2021-01-28T23:00:27Z | NONE | v0.54 500 error in sql query template; code worked in v0.53; found a workaround schema: Live example of correctly rendered template in v.053: https://cosmotalks-cy6xkkbezq-uw.a.run.app/cosmotalks/talks/1 Description of problem: I needed 'sql select' code in a custom row-mydatabase-mytable.html template to lookup the series name for a foreign key integer value in the talks table. So The code below worked perfectly in v0.53 (just the relevant sql statement part is shown; full code is here):
In v0.54, that code resulted in a 500 error with a 'no such table series' message. A second query in that template also did not work but the above is fully illustrative of the problem. All templates were up-to-date along with datasette v0.54. Workaround: After fiddling around with trying different things, what worked was the syntax from Querying a different database from the datasette-template-sql github repo to add the database name to the sql statement:
Though this was found to work, it should not be necessary to add |
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799663959 | MDU6SXNzdWU3OTk2NjM5NTk= | 1213 | gzip support for HTML (and JSON) responses | simonw 9599 | open | 0 | 3 | 2021-02-02T20:36:28Z | 2021-02-02T20:41:55Z | OWNER | This page https://datasette-tiles-demo.datasette.io/San_Francisco/tiles is 2MB because of all of the base64 images. Gzipped it's 1.5MB. Since Datasette is usually deployed without a frontend gzipping proxy, Datasette itself needs to solve for this. Gzipping everything won't work because some endpoints - the all-rows CSV endpoint and the download-database endpoint - are streaming and hence can't be buffered-and-gzipped. |
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802513359 | MDU6SXNzdWU4MDI1MTMzNTk= | 1217 | Possible to deploy as a python app (for Rstudio connect server)? | plpxsk 6165713 | open | 0 | 4 | 2021-02-05T22:21:24Z | 2022-11-04T11:37:52Z | NONE | Is it possible to deploy a In my enterprise, I have option to deploy python apps via Rstudio Connect, and I would like to publish a I welcome any pointers to converting |
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803356942 | MDU6SXNzdWU4MDMzNTY5NDI= | 1218 | /usr/local/opt/python3/bin/python3.6: bad interpreter: No such file or directory | robmarkcole 11855322 | open | 0 | 1 | 2021-02-08T09:07:00Z | 2021-02-23T12:12:17Z | NONE | Error as above, however I do have python3.8 and the readme indicates this is supported. ``` (venv) (base) Robins-MacBook:datasette robin$ ls /usr/local/opt/python3/bin/ .. pip3 python3 python3.8 ``` |
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803929694 | MDU6SXNzdWU4MDM5Mjk2OTQ= | 1219 | Try profiling Datasette using scalene | simonw 9599 | open | 0 | 2 | 2021-02-08T20:37:06Z | 2021-02-08T22:13:00Z | OWNER | https://github.com/emeryberger/scalene looks like an interesting profiling tool. |
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808771690 | MDU6SXNzdWU4MDg3NzE2OTA= | 1225 | More flexible formatting of records with CSS grid | mhalle 649467 | open | 0 | 0 | 2021-02-15T19:28:17Z | 2021-02-15T19:28:35Z | NONE | In several applications I've been experimenting with alternate formatting of datasette query results. Lately I've found that CSS grids work very well and seem quite general for formatting rows. In CSS I use grid templates to define the layout of each record and the regions for each field, hiding the fields I don't want. It's pretty flexible and looks good. It's also a great basis for highly responsive layout. I initially thought I'd only use this feature for record detail views, but now I use it for index views as well. However, there are some limitations:
* With the existing table templates, it seems that you can change the It would be helpful to at least have an official example or test that used a grid layout for records to make sure nothing in datasette breaks with it. |
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811054000 | MDU6SXNzdWU4MTEwNTQwMDA= | 1230 | Vega charts are plotted only for rows on the visible page, cluster maps only for rows in the remaining pages | Kabouik 7107523 | open | 0 | 1 | 2021-02-18T12:27:02Z | 2021-02-18T15:22:15Z | NONE | I filtered a data set on some criteria and obtain 265 results, split over three pages (100, 100, 65), and reazlized that Vega plots are only applied to the results displayed on the current page, instead of the whole filtered data, e.g., 100 on page 1, 100 on page 2, 65 on page 3. Is there a way to force the graphs to consider all results instead of just the page, considering that pages rarely represent sensible information? Likewise, while the cluster map does show all results on the first page, if you go to next pages, it will show all remaining results except the previous page(s), e.g., 265 on page 1, 165 on page 2, 65 on page 3. In both cases, I don't see many situations where one would like to represent the data this way, and it might even lead to interpretation errors when viewing the data. Am I missing some cases where this would be best? Perhaps a clickable option to subset visual representations according visible pages vs. display all search results would do? [Edit] Oh, I just saw the "Load all" button under the cluster map as well as the setting to alter the max number or results. So I guess this issue only is about the Vega charts. |
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811458446 | MDU6SXNzdWU4MTE0NTg0NDY= | 1233 | "datasette publish cloudrun" cannot publish files with spaces in their name | simonw 9599 | open | 0 | 1 | 2021-02-18T21:08:31Z | 2021-02-18T21:10:08Z | OWNER | Got this error: ``` Step 6/9 : RUN datasette inspect fixtures.db extra database.db --inspect-file inspect-data.json ---> Running in db9da0068592 Usage: datasette inspect [OPTIONS] [FILES]... Try 'datasette inspect --help' for help. Error: Invalid value for '[FILES]...': Path 'extra' does not exist.
The command '/bin/sh -c datasette inspect fixtures.db extra database.db --inspect-file inspect-data.json' returned a non-zero code: 2
ERROR
ERROR: build step 0 "gcr.io/cloud-builders/docker" failed: step exited with non-zero status: 2
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811505638 | MDU6SXNzdWU4MTE1MDU2Mzg= | 1234 | Runtime support for ATTACHing multiple databases | simonw 9599 | open | 0 | 1 | 2021-02-18T22:06:47Z | 2021-02-22T21:06:28Z | OWNER |
Originally posted by @simonw in https://github.com/simonw/datasette/issues/283#issuecomment-781665560 |
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814595021 | MDU6SXNzdWU4MTQ1OTUwMjE= | 1241 | Share button for copying current URL | Kabouik 7107523 | open | 0 | 6 | 2021-02-23T15:55:40Z | 2023-08-24T20:09:52Z | NONE | I use datasette in an This particular use prevents users to access the full URLs of their datasette views and queries, which is a shame because the way datasette handles URLs to make every view or query easy to share is awesome. I know how to get the URL from the context menu of my browser, but I don't think many visitors would do it or even notice that datasette uses permalinks for pretty much every action they do. Would it be possible to add a "Share link" button to the interface, either in datasette itself or in a plugin? |
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817544251 | MDU6SXNzdWU4MTc1NDQyNTE= | 1245 | Sticky table column headers would be useful, especially on the query page | simonw 9599 | open | 0 | 1 | 2021-02-26T17:42:51Z | 2021-04-02T20:53:35Z | OWNER | Suggestion from office hours. |
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824750134 | MDU6SXNzdWU4MjQ3NTAxMzQ= | 1251 | facet option not appearing when table is big | verajosemanuel 15836677 | open | 0 | 0 | 2021-03-08T16:54:04Z | 2021-03-08T16:54:16Z | NONE | I have a big table with more than 500.000 rows. Trying to facet by one of my columns, the options are not available as for the other smaller tables. I have tried to set it in URL as:
to no avail. is there any limit? how can I force the option "facet" to appear for big tables? |
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826064552 | MDU6SXNzdWU4MjYwNjQ1NTI= | 1253 | Capture "Ctrl + Enter" or "⌘ + Enter" to send SQL query? | rayvoelker 9308268 | open | 0 | 1 | 2021-03-09T15:00:50Z | 2021-10-30T16:00:42Z | NONE | It appears as though "Shift + Enter" triggers the form submit action to submit SQL, but could that action be bound to the "Ctrl + Enter" or "⌘ + Enter" action? I feel like that pattern already exists in a number of similar tools and could improve usability of the editor. |
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826700095 | MDU6SXNzdWU4MjY3MDAwOTU= | 1255 | Facets timing out but work when filtering | robroc 1219001 | open | 0 | 2 | 2021-03-09T22:01:39Z | 2021-04-02T20:50:08Z | NONE | System info: Windows 10 Datasette 0.55 installed via pip Python 3.8.5 in a conda environment I'm getting the message |
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828858421 | MDU6SXNzdWU4Mjg4NTg0MjE= | 1258 | Allow canned query params to specify default values | wdccdw 1385831 | open | 0 | 5 | 2021-03-11T07:19:02Z | 2023-02-20T23:39:58Z | NONE | If I call a canned query that includes named parameters, without passing any parameters, datasette runs the query anyway, resulting in an HTTP status code 400, and a visible error in the browser, with only a link back to home. This means that one of the default links on https://site/database/ will lead to a broken page with no apparent way out. Is there any way to skip performing the query when parameters aren't supplied, but otherwise render the usual canned query page? Alternatively, can I supply default values for my parameters, either when defining my canned queries or when linking to the canned query page from the default database template. |
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830567275 | MDU6SXNzdWU4MzA1NjcyNzU= | 1259 | Research using CTEs for faster facet counts | simonw 9599 | open | 0 | 5 | 2021-03-12T22:19:49Z | 2021-03-21T22:55:31Z | OWNER | https://www.sqlite.org/changes.html#version_3_35_0
If a CTE creates a table that is used multiple time in that query, SQLite will now default to creating a materialized table for the duration of that query. This could be a big performance boost when applying faceting multiple times against the same query. Consider this example query:
Outputs: col | value | c -- | -- | -- country_long | United States of America | 8688 country_long | China | 4235 country_long | United Kingdom | 2603 country_long | Brazil | 2360 country_long | France | 2155 country_long | India | 1590 country_long | Germany | 1309 country_long | Canada | 1159 country_long | Spain | 829 country_long | Russia | 545 primary_fuel | Solar | 9662 primary_fuel | Hydro | 7155 primary_fuel | Wind | 5188 primary_fuel | Gas | 3922 primary_fuel | Coal | 2390 primary_fuel | Oil | 2290 primary_fuel | Biomass | 1396 primary_fuel | Waste | 1087 primary_fuel | Nuclear | 198 primary_fuel | Geothermal | 189 |
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834602299 | MDU6SXNzdWU4MzQ2MDIyOTk= | 1262 | Plugin hook that could support 'order by random()' for table view | henry501 19328961 | open | 0 | 3 | 2021-03-18T10:02:01Z | 2021-03-18T17:55:01Z | NONE | I am frequently using Datasette to quickly get a visual impression for a table without reviewing it in its entirety. Because I have some groups of similar records, the default sorting options mean that each page is very similar and not representative of the full dataset. The current interface allows sorting by columns, but random sorting is only available via custom SQL. Maybe this could be a button or link. |
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837350092 | MDU6SXNzdWU4MzczNTAwOTI= | 1270 | Try implementing SQLite timeouts using .interrupt() instead of using .set_progress_handler() | simonw 9599 | open | 0 | 3 | 2021-03-22T06:00:17Z | 2021-03-23T16:45:39Z | OWNER |
Originally posted by @simonw in https://github.com/simonw/datasette/issues/1268#issuecomment-803764919 |
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837956424 | MDExOlB1bGxSZXF1ZXN0NTk4MjEzNTY1 | 1271 | Use SQLite conn.interrupt() instead of sqlite_timelimit() | simonw 9599 | open | 0 | 3 | 2021-03-22T17:34:20Z | 2021-03-22T21:49:27Z | OWNER | simonw/datasette/pulls/1271 | Refs #1270, #1268, #1249 Before merging this I need to do some more testing (to make sure that expensive queries really are properly cancelled). I also need to delete a bunch of code relating to the old mechanism of cancelling queries. [See comment below: this doesn't actually cancel the query due to a thread-local confusion] |
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838245338 | MDU6SXNzdWU4MzgyNDUzMzg= | 1272 | Unit tests for the Dockerfile | simonw 9599 | open | 0 | 3 | 2021-03-23T01:36:29Z | 2022-07-29T10:22:59Z | OWNER | Working on the Dockerfile in #1249 made me wish for automated tests - to confirm that it boots up correctly, can run SpatiaLite and doesn't have weird bugs like the These could run in CI too, but maybe only if the |
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838382890 | MDU6SXNzdWU4MzgzODI4OTA= | 1273 | Refresh SpatiaLite documentation | simonw 9599 | open | 0 | 4 | 2021-03-23T06:05:55Z | 2022-01-20T21:28:50Z | OWNER | https://docs.datasette.io/en/0.55/spatialite.html was written before I had tools like geojson-to-sqlite and shapefile-to-sqlite. |
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839367451 | MDU6SXNzdWU4MzkzNjc0NTE= | 1275 | Idea: long-running query mode | simonw 9599 | open | 0 | 0 | 2021-03-24T05:23:20Z | 2021-03-24T05:23:20Z | OWNER | It would be cool if you could run Datasette in a long-running query mode, for use with trusted users - something like this:
This would disable the query limit, but would also enable a feature where if a query takes longer than e.g. 1s to return Datasette returns an HTML page to the browser with a progress indicator and polls the server until the query is complete.... but also provides the user with a "cancel" button. This relates to the |
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842862708 | MDU6SXNzdWU4NDI4NjI3MDg= | 1280 | Ability to run CI against multiple SQLite versions | simonw 9599 | open | 0 | 2 | 2021-03-28T23:54:50Z | 2021-05-10T19:07:46Z | OWNER | Issue #1276 happened because I didn't run tests against a SQLite version prior to 3.16.0 (released 2017-01-02). Glitch is a deployment target and runs SQLite 3.11.0 from 2016-02-15. If CI ran against that version of SQLite this bug could have been avoided. |
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843884745 | MDU6SXNzdWU4NDM4ODQ3NDU= | 1283 | advanced #export causes unexpected scrolling | mroswell 192568 | open | 0 | 0 | 2021-03-29T22:46:57Z | 2021-03-29T22:46:57Z | CONTRIBUTOR |
The user remedy seems to be to manually remove the "#export" from the URL. This behavior happens in my project, and in: https://covid-19.datasettes.com/covid/economist_excess_deaths (for instance) but not in this table: https://global-power-plants.datasettes.com/global-power-plants/global-power-plants |
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845794436 | MDU6SXNzdWU4NDU3OTQ0MzY= | 1284 | Feature or Documentation Request: Individual table as home page template | mroswell 192568 | open | 0 | 4 | 2021-03-31T03:56:17Z | 2021-11-04T03:15:01Z | CONTRIBUTOR | It would be great to have a sample showing how to move a single database that has a single table, to the index page. I'm trying it now, and find there is a real depth of Datasette and Python understanding that's required to be successful. I've got all the basic jinja concepts down... variables, template control structures, template inheritance, template overrides, css, html, the --template-dir and --static arguments, etc. But copying the table.html file to index.html doesn't work. There are undocumented functions and filters... I can figure some of them out (yay, url_builder.py and utils/init.py!) but it's a slog better handled by a much stronger Python developer. One sample would make a world of difference. The ideal form of this documentation would be a diff between the default table.html and how that would look if essentially moved to index.html. The use case is for everyone who wants to create a public-facing website to explore a single table at the root directory. (Maybe a second bit of documentation for people who have a single database with multiple tables.) (Hmm... might be cool to have a setting for that, where it happens automagically! If only one table, then home page is at the table level. if only one database, then home page is at the database level.... as an option.) I suppose I could ignore this, and somehow do this in the DNS settings once I hook up Vercel to a domain name, maybe.. and remove the breadcrumbs in table.html... but for now, a documentation request in the form of a diff... for viewing a single table (or a single database) at the root. (Actually, there's probably room for a whole expanded section on templates. Noticed some nice table metadata in one of the datasette examples, for instance... Hmm... maybe a whole library of solutions in one place... maybe a documentation hackathon! If that's of interest, of course it's a separate issue. ) |
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847700726 | MDU6SXNzdWU4NDc3MDA3MjY= | 1285 | Feature Request or Plugin Request: Numeric Range Facets | mroswell 192568 | open | 0 | 0 | 2021-04-01T01:50:20Z | 2021-04-01T02:28:19Z | CONTRIBUTOR | It would be great to offer facets for numeric data ranges. The ranges could pull from typical GIS methods of creating choropleth maps. https://gisgeography.com/choropleth-maps-data-classification/ Of the following, for mapping, I've always preferred a Jenks Natural Breaks, or a cross between Jenks and Pretty breaks.
Here are some links for Natural Breaks, in case this method is unfamiliar.
Per that last link, there is a Jenks Python module... They also describe it as data-intensive for larger datasets. Maybe this is a good plugin idea. An example of equal Intervals would be 0 – < 10 10 – < 20 20 – < 30 30 – < 40 It's kind of confusing to have that less-than sign in there. it could also be displayed as: 0 – 10 10 – 20 20 – 30 30 – 40 But then it's not completely clear which category 10 is in, for instance. (Best to right-justify.. and use an "en dash" between numbers.) |
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849220154 | MDU6SXNzdWU4NDkyMjAxNTQ= | 1286 | Better default display of arrays of items | mroswell 192568 | open | 0 | 5 | 2021-04-02T13:31:40Z | 2021-06-12T12:36:15Z | CONTRIBUTOR | Would be great to have template filters that convert array fields to bullets and/or delimited lists upon table display:
Of course, the fields themselves would remain as facetable arrays. |
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849396758 | MDU6SXNzdWU4NDkzOTY3NTg= | 1287 | Upgrade to Python 3.9.4 | simonw 9599 | open | 0 | 5 | 2021-04-02T18:43:15Z | 2021-04-03T22:38:39Z | OWNER | Has some security fixes https://pythoninsider.blogspot.com/2021/04/python-393-and-389-are-now-available.html |
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849512840 | MDU6SXNzdWU4NDk1MTI4NDA= | 1288 | Facets: show counts for null | jungle-boogie 1111743 | open | 0 | 0 | 2021-04-02T22:33:44Z | 2021-04-02T22:33:44Z | NONE | Hi, Thank you for Datasette and being a fan of SQLite! Not all rows in a record will always contain data. So when using a facet on a column where some records have data and others don't, you don't get an accurate count of the results. Please consider also counting and showing null records with facets. |
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