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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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1066603133 | PR_kwDOCGYnMM4vKAzW | 347 | Test against pysqlite3 running SQLite 3.37 | simonw 9599 | open | 0 | 9 | 2021-11-29T23:17:57Z | 2021-12-11T01:02:19Z | OWNER | simonw/sqlite-utils/pulls/347 | Refs #346 and #344. |
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1122451096 | PR_kwDOBm6k_c4x_mXy | 1626 | Try test suite against macOS and Windows | simonw 9599 | open | 0 | 3 | 2022-02-02T22:26:51Z | 2022-02-03T01:22:44Z | OWNER | simonw/datasette/pulls/1626 | Refs #1625 |
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1386917344 | PR_kwDOBm6k_c4_prjN | 1823 | Keyword-only arguments for a bunch of internal methods | simonw 9599 | open | 0 | 3 | 2022-09-27T00:44:59Z | 2022-10-05T04:37:54Z | OWNER | simonw/datasette/pulls/1823 | Refs #1822 :books: Documentation preview :books:: https://datasette--1823.org.readthedocs.build/en/1823/ |
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348043884 | MDU6SXNzdWUzNDgwNDM4ODQ= | 357 | Plugin hook for loading metadata.json | simonw 9599 | open | 0 | 6 | 2018-08-06T19:00:01Z | 2020-06-21T22:19:58Z | OWNER | For https://github.com/simonw/russian-ira-facebook-ads-datasette/tree/af6d956995e14afd585c35a6a06bb01da32043ba I wrote a script to convert YAML to JSON because YAML is a better format for embedding multi-line HTML descriptions and canned SQL statements. Example yaml metadata file: https://github.com/simonw/russian-ira-facebook-ads-datasette/blob/af6d956995e14afd585c35a6a06bb01da32043ba/russian-ads-metadata.yaml It would be useful if Datasette could be fed a YAML file directly:
Question is... should this be a native feature (hence adding a YAML dependency) or should it be handled by a |
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346027040 | MDU6SXNzdWUzNDYwMjcwNDA= | 355 | Table view should support filtering via many-to-many relationships | simonw 9599 | open | 0 | 10 | 2018-07-31T04:04:16Z | 2019-05-23T06:04:03Z | OWNER | Parent: #354 |
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346026869 | MDU6SXNzdWUzNDYwMjY4Njk= | 354 | Handle many-to-many relationships | simonw 9599 | open | 0 | 0 | 2018-07-31T04:03:13Z | 2020-11-24T19:51:18Z | OWNER | This is a master tracking ticket for various many-2-many features. |
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344654623 | MDU6SXNzdWUzNDQ2NTQ2MjM= | 347 | Rename "datasette package" to "datasette publish docker" | simonw 9599 | open | 0 | 0 | 2018-07-26T00:42:46Z | 2018-07-26T00:42:46Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/347/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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335200136 | MDU6SXNzdWUzMzUyMDAxMzY= | 327 | Explore if SquashFS can be used to shrink size of packaged Docker containers | simonw 9599 | open | 0 | 4 | 2018-06-24T18:15:16Z | 2022-02-17T23:37:24Z | OWNER | Inspired by this article: https://cldellow.com/2018/06/22/sqlite-parquet-vtable.html#sqlite-database-indexed--squashed https://en.wikipedia.org/wiki/SquashFS is "a compressed read-only file system for Linux" - which means it could be a really nice fit for Datasette and its read-only SQLite databases. It would be interesting to explore a Dockerfile recipe that used SquashFS to compress the SQLite database file that was bundled up by |
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328155946 | MDU6SXNzdWUzMjgxNTU5NDY= | 301 | --spatialite option for "datasette publish heroku" | simonw 9599 | open | 0 | 1 | 2018-05-31T14:13:09Z | 2022-01-20T21:28:50Z | OWNER | Split off from #243. Need to figure out how to install and configure SpatiaLite on Heroku. |
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327395270 | MDU6SXNzdWUzMjczOTUyNzA= | 296 | Per-database and per-table /-/ URL namespace | simonw 9599 | open | 0 | 3 | 2018-05-29T16:23:13Z | 2019-06-28T16:46:34Z | OWNER | Initially this will be for subsets of To start:
This means we will no longer allow databases or tables to have the name We will continue to support rows with a primary key of
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327365110 | MDU6SXNzdWUzMjczNjUxMTA= | 294 | inspect should record column types | simonw 9599 | open | 0 | 7 | 2018-05-29T15:10:41Z | 2019-06-28T16:45:28Z | OWNER | For each table we want to know the columns, their order and what type they are. I'm going to break with SQLite defaults a little on this one and allow datasette to define additional types - to start with just a Possible JSON design:
Refs #276 |
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326778161 | MDU6SXNzdWUzMjY3NzgxNjE= | 290 | Consider increasing the default for num_sql_threads (currently 3) | simonw 9599 | open | 0 | 0 | 2018-05-27T00:52:41Z | 2018-05-27T00:52:41Z | OWNER | I ran a very rough micro-benchmark on the new
Then
| Number of threads | Requests/second | |---|---| | 1 | 4.57 | | 3 | 9.77 | | 10 | 13.53 | | 20 | 15.24 | 50 | 8.21 | This was on my early 2018 OS X laptop. Need to benchmark in other common environments before making a decision on changing the default. That said, the default of 3 was a number I plucked out of thin air. |
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326599525 | MDU6SXNzdWUzMjY1OTk1MjU= | 286 | Database hash should include current datasette version | simonw 9599 | open | 0 | 2 | 2018-05-25T17:03:42Z | 2018-05-25T17:07:36Z | OWNER | Right now deploying a new version of datasette doesn't invalidate existing URLs, so users may still see a cached copy of the old templates. We can fix this by including the current datasette version in the input to the hash function (which currently just the database file contents). |
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323223872 | MDU6SXNzdWUzMjMyMjM4NzI= | 260 | Validate metadata.json on startup | simonw 9599 | open | 0 | 7 | 2018-05-15T13:42:56Z | 2023-06-21T12:51:22Z | OWNER | It's easy to misspell the name of a database or table and then be puzzled when the metadata settings silently fail. To avoid this, let's sanity check the provided metadata.json on startup and quit with a useful error message if we find any obvious mistakes. |
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323718842 | MDU6SXNzdWUzMjM3MTg4NDI= | 268 | Mechanism for ranking results from SQLite full-text search | simonw 9599 | open | 0 | 12 | 2018-05-16T17:36:40Z | 2022-01-13T22:21:28Z | OWNER | This isn't particularly straight-forward - all the more reason for Datasette to implement it for you. This article is helpful: http://charlesleifer.com/blog/using-sqlite-full-text-search-with-python/ |
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323658641 | MDU6SXNzdWUzMjM2NTg2NDE= | 262 | Add ?_extra= mechanism for requesting extra properties in JSON | simonw 9599 | open | 0 | Datasette 1.0 3268330 | 27 | 2018-05-16T14:55:42Z | 2023-03-29T06:22:22Z | OWNER | Datasette views currently work by creating a set of data that should be returned as JSON, then defining an additional, optional This Example of how that is used today: https://github.com/simonw/datasette/blob/2b79f2bdeb1efa86e0756e741292d625f91cb93d/datasette/views/table.py#L672-L704 With features like Facets in #255 I'm beginning to want to move more items into the But... as an API user, I want to still optionally be able to access that information. Solution: Add a Then redefine as many of the current This could allow the JSON representation to be slimmed down further (removing e.g. the |
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320132682 | MDU6SXNzdWUzMjAxMzI2ODI= | 250 | Setup some issue templates | simonw 9599 | open | 0 | 0 | 2018-05-04T01:49:07Z | 2018-05-04T01:49:07Z | OWNER | https://twitter.com/left_pad/status/99216385740464537 I like the idea of using these to help people understand some of the ways I want to use issues. |
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318490133 | MDU6SXNzdWUzMTg0OTAxMzM= | 241 | Default datasette logging format should be JSON | simonw 9599 | open | 0 | 0 | 2018-04-27T17:32:48Z | 2018-07-10T17:45:40Z | OWNER | Structured logs are better. Datasette should default to outputting it's HTTP access log lines as newline delimited JSON instead of the Sanic default format it uses at the moment. For improved greppability these logs should have keys ordered in a consistent way. Python's JSON module can do this with ordered dictionaries. |
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317001500 | MDU6SXNzdWUzMTcwMDE1MDA= | 236 | datasette publish lambda plugin | simonw 9599 | open | 0 | 11 | 2018-04-23T22:10:30Z | 2023-03-12T14:04:15Z | OWNER | Refs #217 - create a publish plugin that can deploy to AWS Lambda. https://docs.aws.amazon.com/lambda/latest/dg/limits.html says lambda packages can be up to 50 MB, so this would only work with smaller databases (the command can check the filesize before attempting to package and deploy it). Lambdas do get a 512 MB |
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316621102 | MDU6SXNzdWUzMTY2MjExMDI= | 235 | Add limit on the size in KB of data returned from a single query | simonw 9599 | open | 0 | 2 | 2018-04-22T23:01:15Z | 2018-04-24T00:30:02Z | OWNER | Datasette limits the number of rows returned to 1,000 and limits the time spent executing a SQL query to 1000ms - and both of these limits can be customized. It does not have a limit on the size of the response returned. It's possible to compose maliciously large SQL responses in a small number of rows using mechanisms like the I think the easiest place to implement that is here: Currently we use The bigger challenge here is understanding how well this approach works and what impact it will have on overall Datasette performance. I think I need #33 for this. |
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314771615 | MDU6SXNzdWUzMTQ3NzE2MTU= | 218 | Support custom unit display in order to handle "$10,000" | simonw 9599 | open | 0 | 0 | 2018-04-16T18:39:31Z | 2018-07-10T17:45:38Z | OWNER | I tried to get Datasette to display It would be neat if there was a mechanism for specifying a custom unit display - maybe something like this:
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312396095 | MDU6SXNzdWUzMTIzOTYwOTU= | 198 | Ability to sort with nulls last | simonw 9599 | open | 0 | 0 | 2018-04-09T05:15:40Z | 2018-07-10T17:45:37Z | OWNER | Split off from #189 Here's how to do that in SQL: https://fivethirtyeight.datasettes.com/fivethirtyeight-2628db9?sql=select+rowid%2C+*+from+%5Bnfl-wide-receivers%2Fadvanced-historical%5D%0D%0Aorder+by+case+when+career_ranypa+is+null+then+1+else+0+end%2C+career_ranypa%2C+rowid
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312395790 | MDU6SXNzdWUzMTIzOTU3OTA= | 197 | Ability to sort by more than one column | simonw 9599 | open | 0 | 0 | 2018-04-09T05:13:30Z | 2018-07-10T17:45:37Z | OWNER | Split off from #189. I'd like to support "sort by X descending, then by Y ascending if there are dupes for X" as well. Suggested syntax for that:
we currently only allow one argument to be sent. We should allow as many arguments as there are columns, for example:
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309047460 | MDU6SXNzdWUzMDkwNDc0NjA= | 188 | Ability to bundle metadata and templates inside the SQLite file | simonw 9599 | open | 0 | 4 | 2018-03-27T16:42:07Z | 2020-12-04T17:18:34Z | OWNER | One of the nicest qualities of SQLite as a data format is that you get a single file which you can then backup or share with other people. Datasette breaks this a little once you start including custom metadata.json or template files and CSS. It would be cool if there was an optional mechanism for baking that extra configuration into the SQLite file itself. That way entire datasette mini-applications (including canned queries and custom HTML and CSS) could be constructed as single .db files. Since datasette configuration is all file-based, one way to achieve that would be to support a "datasette_files" table which, if present is used to search for file contents by path. This is inline with the philosophy described by https://www.sqlite.org/appfileformat.html |
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288438570 | MDU6SXNzdWUyODg0Mzg1NzA= | 179 | More metadata options for template authors | simonw 9599 | open | 0 | 2 | 2018-01-14T20:51:04Z | 2019-05-13T18:33:33Z | OWNER | See this thread on Twitter: https://twitter.com/simonw/status/952637152797458432 |
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275159710 | MDU6SXNzdWUyNzUxNTk3MTA= | 128 | Every visualization should have an "embed" button | simonw 9599 | open | 0 | 0 | 2017-11-19T13:38:13Z | 2019-05-13T18:33:51Z | OWNER | At least for the first round of visualizations, any time you construct one using the UI the result should include an "embed this" button that returns source code to copy and paste These examples should use unpkg.com (or similarl) urls with SRI hashes, eg https://www.srihash.org - and should load data from the datasette JSON API. |
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275125561 | MDU6SXNzdWUyNzUxMjU1NjE= | 123 | Datasette serve should accept paths/URLs to CSVs and other file formats | simonw 9599 | open | 0 | 9 | 2017-11-19T02:05:48Z | 2021-07-19T00:04:32Z | OWNER | This would remove the csvs-to-sqlite step which I end up using for almost everything. I'm hesitant to introduce pandas as a required dependency though since it require compiling numpy. Could build it so this option is only available if you have pandas installed. |
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275755475 | MDU6SXNzdWUyNzU3NTU0NzU= | 140 | Heatmap visualization plugin | simonw 9599 | open | 0 | 2 | 2017-11-21T15:34:23Z | 2019-05-13T18:33:51Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/140/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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275415799 | MDU6SXNzdWUyNzU0MTU3OTk= | 137 | Ability to combine multiple SQL queries on a single graph | simonw 9599 | open | 0 | 1 | 2017-11-20T16:26:57Z | 2019-05-13T18:33:51Z | OWNER | This would make visualizations significantly more powerful. The interesting challenge will be around the URL design. It would be useful to be able to combine either multiple explicit SQL queries or multiple queries based on the filter string parameters passed to one or more table views. |
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274615452 | MDU6SXNzdWUyNzQ2MTU0NTI= | 111 | Add “updated” to metadata | simonw 9599 | open | 0 | 12 | 2017-11-16T18:22:20Z | 2021-09-21T22:48:27Z | OWNER | To give an indication as to when the data was last updated. This should be a field in the metadata that is then shown on the index page and in the footer, if it is set. Also support setting it using an option to “datasette publish” and “datasette package” - which can either be a string or can be the magic string “today” to set it to today’s date:
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268110769 | MDU6SXNzdWUyNjgxMTA3Njk= | 33 | Use locust for benchmarking and load tests | simonw 9599 | open | 0 | 0 | 2017-10-24T17:00:09Z | 2017-12-10T03:12:16Z | OWNER | https://github.com/locustio/locust Needed for #32 |
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267515678 | MDU6SXNzdWUyNjc1MTU2Nzg= | 3 | Make individual column valuables addressable, with smart content types | simonw 9599 | open | 0 | 1 | 2017-10-23T01:11:32Z | 2017-12-10T03:11:58Z | OWNER | Some SQLite databases embed images in columns. It would be cool if these had URLs.
The one without an explicit file extension auto-detects the correct extension. |
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990367646 | MDU6SXNzdWU5OTAzNjc2NDY= | 1462 | Separate out "debug" options from "root" options | simonw 9599 | open | 0 | 1 | 2021-09-07T21:27:34Z | 2021-09-07T21:34:33Z | OWNER |
Originally posted by @simonw in https://github.com/simonw/datasette-app-support/issues/8#issuecomment-914638998 |
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977323133 | MDU6SXNzdWU5NzczMjMxMzM= | 1445 | Ability to search for text across all columns in a table | simonw 9599 | open | 0 | 5 | 2021-08-23T18:50:48Z | 2021-08-23T19:10:17Z | OWNER | When I'm working with new data I often find myself wanting to run a search for text embedded in ANY of the columns of a table, without having to even fully understand the schema first. I figured out a trick for doing that using a SQL-generated SQL query here: https://til.simonwillison.net/datasette/search-all-columns-trick But maybe this should be a core Datasette feature? Or a plugin? |
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975166271 | MDU6SXNzdWU5NzUxNjYyNzE= | 20 | Add index on workout_points.date | simonw 9599 | open | 0 | 2 | 2021-08-20T01:08:04Z | 2021-08-20T01:12:48Z | MEMBER | Sorting that by date makes sense for seeing most recent points, and my DB has 2.5m points in so it's an expensive sort! |
healthkit-to-sqlite 197882382 | issue | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/20/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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974067156 | MDU6SXNzdWU5NzQwNjcxNTY= | 318 | Research: handle gzipped CSV directly | simonw 9599 | open | 0 | 2 | 2021-08-18T21:23:04Z | 2021-08-18T21:25:30Z | OWNER | Would it be worthwhile for the Maybe add |
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972918533 | MDU6SXNzdWU5NzI5MTg1MzM= | 1438 | Query page .csv and .json links are not correctly URL-encoded on Vercel under unknown specific conditions | simonw 9599 | open | 0 | 7 | 2021-08-17T17:35:36Z | 2021-08-18T00:22:23Z | OWNER |
Originally posted by @simonw in https://github.com/simonw/datasette-publish-vercel/issues/48#issuecomment-900497579 |
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970626625 | MDU6SXNzdWU5NzA2MjY2MjU= | 1435 | Turn off suggest facets on tables with large numbers of columns | simonw 9599 | open | 0 | 0 | 2021-08-13T18:30:48Z | 2021-08-13T18:30:48Z | OWNER | If a table has 200 columns it will take multiple seconds to try and suggest facets. I should either quit after the first 20 or not suggest facets at all. |
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969855774 | MDU6SXNzdWU5Njk4NTU3NzQ= | 1432 | Rename Datasette.__init__(config=) parameter to settings= | simonw 9599 | open | 0 | 8 | 2021-08-13T01:00:27Z | 2021-10-19T01:16:41Z | OWNER |
Originally posted by @simonw in https://github.com/simonw/datasette/issues/1431#issuecomment-898072940 |
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969548935 | MDU6SXNzdWU5Njk1NDg5MzU= | 1429 | UI for setting `?_size=max` on table page | simonw 9599 | open | 0 | 2 | 2021-08-12T20:52:09Z | 2021-08-13T04:37:41Z | OWNER | It defaults to 100 per page, but you can increase that to 1000 per page using But... that's only available to people who know how to hack URLs. Solution: add a link that sets that option to the pagination block at the bottom of the table: |
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964322136 | MDU6SXNzdWU5NjQzMjIxMzY= | 1426 | Manage /robots.txt in Datasette core, block robots by default | simonw 9599 | open | 0 | 9 | 2021-08-09T19:56:56Z | 2021-12-04T07:11:29Z | OWNER | See accompanying Twitter thread: https://twitter.com/simonw/status/1424820203603431439
I have a lot of Datasettes deployed now, and tailing logs shows that they are being hammered by search engine crawlers even though many of them are not interesting enough to warrant indexing. I'm starting to think blocking crawlers would actually be a better default for most people, provided it was well documented and easy to understand how to allow them. Default-deny is usually a better policy than default-allow! |
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963527045 | MDU6SXNzdWU5NjM1MjcwNDU= | 1424 | Document exceptions that can be raised by db.execute() and friends | simonw 9599 | open | 0 | 4 | 2021-08-08T22:23:25Z | 2021-08-08T22:27:31Z | OWNER | Not currently covered here: https://docs.datasette.io/en/stable/internals.html#await-db-execute-sql |
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961008507 | MDU6SXNzdWU5NjEwMDg1MDc= | 308 | Add an interactive tutorial as a Jupyter notebook | simonw 9599 | open | 0 | 2 | 2021-08-04T20:34:22Z | 2021-08-04T21:30:59Z | OWNER | Can show people how to open this up in Binder. |
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957347860 | MDU6SXNzdWU5NTczNDc4NjA= | 1412 | Mention WAL mode in the documentation (plus backup tips) | simonw 9599 | open | 0 | 0 | 2021-08-01T00:27:11Z | 2021-08-01T00:27:11Z | OWNER | This is useful for people who are deploying Datasette with any write functionality, especially if they might be using something like EFS. I can add a section about this to the bottom of https://docs.datasette.io/en/stable/deploying.html and then link to that section from both https://docs.datasette.io/en/stable/sql_queries.html#writable-canned-queries and https://docs.datasette.io/en/stable/internals.html#await-db-execute-write-sql-params-none-block-false Also useful: mention that just copying a SQLite database file while it is being written to may not get a consistent file, so tell people to use one of the SQLite backup mechanisms instead. |
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957315684 | MDU6SXNzdWU5NTczMTU2ODQ= | 1410 | Rename settings to `default_allow_facet` and `default_allow_download` and `default_allow_csv_stream` | simonw 9599 | open | 0 | Datasette 1.0 3268330 | 0 | 2021-07-31T20:27:12Z | 2021-07-31T20:27:49Z | OWNER |
Originally posted by @simonw in https://github.com/simonw/datasette/issues/1409#issuecomment-890400425 |
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957302085 | MDU6SXNzdWU5NTczMDIwODU= | 1408 | Review places in codebase that use os.chdir(), in particularly relating to tests | simonw 9599 | open | 0 | 2 | 2021-07-31T18:57:06Z | 2021-07-31T19:00:32Z | OWNER |
Originally posted by @simonw in https://github.com/simonw/datasette/issues/1406#issuecomment-890390198 |
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953218043 | MDU6SXNzdWU5NTMyMTgwNDM= | 1403 | Labels explaining what hidden tables are for | simonw 9599 | open | 0 | 0 | 2021-07-26T19:29:22Z | 2022-03-21T22:20:37Z | OWNER | A reasonable question: "What are those hidden tables for?" This could be answered by adding a small piece of explanatory text to each table - based on if it's related to FTS or to SpatiaLite or configured to be hidden for some other reason. |
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952189173 | MDU6SXNzdWU5NTIxODkxNzM= | 3 | Use HN algolia endpoint to retrieve trees | simonw 9599 | open | 0 | 3 | 2021-07-25T03:35:27Z | 2021-07-25T18:41:17Z | MEMBER | The
Here's an example that loads quickly, with about 50 comments: https://hn.algolia.com/api/v1/items/27941108 It doesn't appear to use pagination at all - if a thread is big then the response is big. I ran this search to find some stories with more than 1000 comments: https://hn.algolia.com/api/v1/search?tags=story&numericFilters=num_comments%3E=1000 Here's one: https://news.ycombinator.com/item?id=25015967 with 4759 comments. Hitting the API takes 41s and returns 3.7 MB of JSON!
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952179830 | MDU6SXNzdWU5NTIxNzk4MzA= | 2 | Command for fetching Hacker News threads from the search API | simonw 9599 | open | 0 | 4 | 2021-07-25T02:00:45Z | 2021-07-25T03:12:57Z | MEMBER | I want to be able to fetch every item for a domain, e.g. https://news.ycombinator.com/from?site=simonwillison.net |
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947044667 | MDU6SXNzdWU5NDcwNDQ2Njc= | 1398 | Documentation on using Datasette as a library | simonw 9599 | open | 0 | 1 | 2021-07-18T14:15:27Z | 2021-07-30T03:21:49Z | OWNER | Instantiating Maybe support |
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944846776 | MDU6SXNzdWU5NDQ4NDY3NzY= | 297 | Option for importing CSV data using the SQLite .import mechanism | simonw 9599 | open | 0 | 23 | 2021-07-14T22:36:41Z | 2023-09-22T20:49:52Z | OWNER | As seen in https://til.simonwillison.net/sqlite/import-csv - An option to use this would be useful - maybe something like this:
|
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930807135 | MDU6SXNzdWU5MzA4MDcxMzU= | 1384 | Plugin hook for dynamic metadata | simonw 9599 | open | 0 | 22 | 2021-06-26T22:36:03Z | 2022-03-14T00:36:42Z | OWNER | @brandonrobertz contributed an implementation of this in PR #1368, which I just merged. Opening this ticket to track further work on this before it goes out in a Datasette release (likely preceded by an alpha). |
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925491857 | MDU6SXNzdWU5MjU0OTE4NTc= | 1383 | Improve test coverage for `inspect.py` | simonw 9599 | open | 0 | 0 | 2021-06-20T00:22:43Z | 2021-06-20T00:22:49Z | OWNER | https://codecov.io/gh/simonw/datasette/src/main/datasette/inspect.py shows only 36% coverage for that module at the moment. |
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924203783 | MDU6SXNzdWU5MjQyMDM3ODM= | 1379 | Idea: ?_end=1 option for streaming CSV responses | simonw 9599 | open | 0 | 0 | 2021-06-17T18:11:21Z | 2021-06-17T18:11:30Z | OWNER | As discussed in this thread: https://twitter.com/simonw/status/1405554676993433605 - one of the disadvantages of Datasette's streaming CSV feature is that it's hard to tell if you got the whole file or if the connection ended early - or if an error occurred. Idea: offer an optional
For however many columns the CSV file usually has. |
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915488244 | MDU6SXNzdWU5MTU0ODgyNDQ= | 1372 | Add section to "writing plugins" about security, e.g. avoiding XSS | simonw 9599 | open | 0 | 0 | 2021-06-08T20:49:33Z | 2021-06-08T20:49:46Z | OWNER | https://docs.datasette.io/en/stable/writing_plugins.html should have tips on writing secure plugins. |
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913900374 | MDU6SXNzdWU5MTM5MDAzNzQ= | 1369 | Don't show foreign key IDs twice if no label | simonw 9599 | open | 0 | 1 | 2021-06-07T19:47:02Z | 2021-06-07T19:47:24Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1369/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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913809802 | MDU6SXNzdWU5MTM4MDk4MDI= | 1366 | Get rid of this `restore_working_directory` hack entirely | simonw 9599 | open | 0 | 2 | 2021-06-07T18:01:21Z | 2021-06-07T18:03:03Z | OWNER |
Originally posted by @simonw in https://github.com/simonw/datasette/issues/1361#issuecomment-855308811 |
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912864936 | MDU6SXNzdWU5MTI4NjQ5MzY= | 1362 | Consider using CSP to protect against future XSS | simonw 9599 | open | 0 | 17 | 2021-06-06T15:32:20Z | 2022-10-08T18:42:09Z | OWNER | The XSS in #1360 would have been a lot less damaging if Datasette used CSP to protect against such vulnerabilities: https://developer.mozilla.org/en-US/docs/Web/HTTP/CSP |
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910092577 | MDU6SXNzdWU5MTAwOTI1Nzc= | 1356 | Research: syntactic sugar for using --get with SQL queries, maybe "datasette query" | simonw 9599 | open | 0 | 10 | 2021-06-03T04:49:42Z | 2022-01-20T01:06:37Z | OWNER | Inspired by https://github.com/simonw/sqlite-utils/issues/264 - in particular this example:
Imagine if you could do this instead:
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910088936 | MDU6SXNzdWU5MTAwODg5MzY= | 1355 | datasette --get should efficiently handle streaming CSV | simonw 9599 | open | 0 | 2 | 2021-06-03T04:40:40Z | 2022-03-20T22:38:53Z | OWNER | It would be great if you could use Current implementation looks like it loads the entire result into memory first: https://github.com/simonw/datasette/blob/f78ebdc04537a6102316d6dbbf6c887565806078/datasette/cli.py#L546-L552 |
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903986178 | MDU6SXNzdWU5MDM5ODYxNzg= | 1344 | Test Datasette Docker images built for different architectures | simonw 9599 | open | 0 | 10 | 2021-05-27T16:52:29Z | 2022-09-06T00:07:58Z | OWNER | Continuing on from #1319 - now that we have the ability to build Datasette's Docker image against multiple architectures we should test that it works. We can do this with QEMU emulation, see https://twitter.com/nevali/status/1397958044571602945 |
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903902495 | MDU6SXNzdWU5MDM5MDI0OTU= | 1342 | Improve `path_with_replaced_args()` and friends and document them | simonw 9599 | open | 0 | 3 | 2021-05-27T15:18:28Z | 2021-05-27T15:23:02Z | OWNER |
Originally posted by @simonw in https://github.com/simonw/datasette/issues/1337#issuecomment-849721280 |
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901009787 | MDU6SXNzdWU5MDEwMDk3ODc= | 1340 | Research: Cell action menu (like column action but for individual cells) | simonw 9599 | open | 0 | 1 | 2021-05-25T15:49:16Z | 2021-05-26T18:59:58Z | OWNER | Had an idea today that it might be useful to select an individual cell and say things like "show me all other rows with the same value" - maybe even a set of other menu options against cells as well. Mocked up a show-on-hover ellipses demo using the CSS inspector: |
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897212458 | MDU6SXNzdWU4OTcyMTI0NTg= | 63 | Ability to fetch commits from branches other than the default | simonw 9599 | open | 0 | 0 | 2021-05-20T17:58:08Z | 2021-05-20T17:58:08Z | MEMBER | This tool is currently almost entirely ignorant of the concept of branches. One example: you can't retrieve commits from any branch other than the default (usually main). |
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895686039 | MDU6SXNzdWU4OTU2ODYwMzk= | 1336 | Document turning on WAL for live served SQLite databases | simonw 9599 | open | 0 | 1 | 2021-05-19T17:08:58Z | 2022-01-13T21:55:59Z | OWNER | Datasette docs don't talk about WAL yet, which allows you to safely serve reads from a database file while it is accepting writes. |
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871304967 | MDU6SXNzdWU4NzEzMDQ5Njc= | 1315 | settings.json should be picked up by "datasette publish cloudrun" | simonw 9599 | open | 0 | 0 | 2021-04-29T18:16:41Z | 2021-04-29T18:16:41Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1315/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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856895291 | MDU6SXNzdWU4NTY4OTUyOTE= | 1299 | Design better empty states | simonw 9599 | open | 0 | 0 | 2021-04-13T12:06:12Z | 2021-04-13T12:06:12Z | OWNER | Inspiration here: https://emptystat.es/ |
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855296937 | MDU6SXNzdWU4NTUyOTY5Mzc= | 1295 | Errors should have links to further information | simonw 9599 | open | 0 | 2 | 2021-04-11T12:39:12Z | 2022-12-14T23:28:49Z | OWNER | Inspired by this tweet: https://twitter.com/willmcgugan/status/1381186384510255104
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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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849978964 | MDU6SXNzdWU4NDk5Nzg5NjQ= | 1293 | Show column metadata plus links for foreign keys on arbitrary query results | simonw 9599 | open | 0 | 51 | 2021-04-04T22:59:42Z | 2022-09-02T17:34:09Z | OWNER | Related to #620. It would be really cool if Datasette could magically detect the source of the data displayed in an arbitrary query and, if that data represents a foreign key, display it as a hyperlink. |
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849975810 | MDU6SXNzdWU4NDk5NzU4MTA= | 1292 | Research ctypes.util.find_library('spatialite') | simonw 9599 | open | 0 | 1 | 2021-04-04T22:36:59Z | 2022-01-20T21:28:50Z | OWNER | Spotted this in the Django SpatiaLite backend: https://github.com/django/django/blob/8f6a7a0e9e7c5404af6520ae606927e32415eb00/django/contrib/gis/db/backends/spatialite/base.py#L24-L36
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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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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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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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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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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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836923194 | MDU6SXNzdWU4MzY5MjMxOTQ= | 32 | JSON API for search results | simonw 9599 | open | 0 | 0 | 2021-03-20T22:21:36Z | 2021-03-20T22:21:36Z | MEMBER | dogsheep-beta 197431109 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-beta/issues/32/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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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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821841046 | MDU6SXNzdWU4MjE4NDEwNDY= | 6 | Upgrade to latest sqlite-utils | simonw 9599 | open | 0 | 1 | 2021-03-04T07:21:54Z | 2021-03-04T07:22:51Z | MEMBER | This is pinned to v1 at the moment. |
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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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816526538 | MDU6SXNzdWU4MTY1MjY1Mzg= | 239 | sqlite-utils extract could handle nested objects | simonw 9599 | open | 0 | 16 | 2021-02-25T15:10:28Z | 2022-09-03T23:46:02Z | OWNER | Imagine a table (imported from a nested JSON file) where one of the columns contains values that look like this:
The |
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812704869 | MDU6SXNzdWU4MTI3MDQ4Njk= | 1237 | ?_pretty=1 option for pretty-printing JSON output | simonw 9599 | open | 0 | Datasette 1.0 3268330 | 1 | 2021-02-20T20:54:40Z | 2021-11-16T18:28:33Z | OWNER | Suggested by @frankieroberto in https://github.com/simonw/datasette/issues/782#issuecomment-782746755 |
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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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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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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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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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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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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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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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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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787098345 | MDU6SXNzdWU3ODcwOTgzNDU= | 1191 | Ability for plugins to collaborate when adding extra HTML to blocks in default templates | simonw 9599 | open | 0 | Datasette 1.0 3268330 | 12 | 2021-01-15T18:18:51Z | 2023-09-18T06:55:52Z | OWNER | Sometimes a plugin may want to add content to an existing default template - for example Currently plugins can do this by providing a new version of the It would be better if there were known areas of those templates which plugins could add additional content to, such that multiple plugins can use the same spot. |
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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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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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780153562 | MDU6SXNzdWU3ODAxNTM1NjI= | 1177 | Ability to stream all rows as newline-delimited JSON | simonw 9599 | open | 0 | Datasette 1.0 3268330 | 1 | 2021-01-06T07:10:48Z | 2022-03-21T15:08:52Z | OWNER |
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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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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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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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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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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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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? |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1168/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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