()
1 # combine these columns into 1 table ""bib_properties"" :
2 # best_title
3 # bib_level_code
4 # mat_type
5 # material_code
6 # best_author
----> 7 db[""circ_trans""].extract(
8 [""best_title"", ""bib_level_code"", ""mat_type"", ""material_code"", ""best_author""],
9 table=""bib_properties"",
10 fk_column=""bib_properties_id""
11 )
13 db[""circ_trans""].extract(
14 [""call_number""],
15 table=""call_number"",
16 fk_column=""call_number_id"",
17 rename={""call_number"": ""value""}
18 )
File ~/jupyter/venv/lib/python3.10/site-packages/sqlite_utils/db.py:1764, in Table.extract(self, columns, table, fk_column, rename)
1761 column_order.append(c.name)
1763 # Drop the unnecessary columns and rename lookup column
-> 1764 self.transform(
1765 drop=set(columns),
1766 rename={magic_lookup_column: fk_column},
1767 column_order=column_order,
1768 )
1770 # And add the foreign key constraint
1771 self.add_foreign_key(fk_column, table, ""id"")
File ~/jupyter/venv/lib/python3.10/site-packages/sqlite_utils/db.py:1526, in Table.transform(self, types, rename, drop, pk, not_null, defaults, drop_foreign_keys, column_order)
1524 with self.db.conn:
1525 for sql in sqls:
-> 1526 self.db.execute(sql)
1527 # Run the foreign_key_check before we commit
1528 if pragma_foreign_keys_was_on:
File ~/jupyter/venv/lib/python3.10/site-packages/sqlite_utils/db.py:465, in Database.execute(self, sql, parameters)
463 return self.conn.execute(sql, parameters)
464 else:
--> 465 return self.conn.execute(sql)
OperationalError: database or disk is full
```
This database is about 17G in total size, so I'm assuming the error is coming from the vacuum ... where i'm assuming it's maybe trying to do the temp storage in a location that doesn't have sufficient room. The disk space is more than ample on the host in question (1.8T is free in the directory where the sqlite db resides) The `/tmp` directory however is limited on a smaller disk associated with the OS
I'm trying to think if there's a way to set the `PRAGMA temp_store` or maybe if it's `temp_store_directory` that I'm after ... to use the same local directory of where the file is located (maybe this is a property of the version of sqlite on the system?)
```python
# SET the temp file store to be a file ...
print(db.execute('PRAGMA temp_store').fetchall())
print(db.execute('PRAGMA temp_store=FILE').fetchall())
print(db.execute('PRAGMA temp_store').fetchall())
# the users home directory ...
print(db.execute(""PRAGMA temp_store_directory='/home/plchuser/'"").fetchall())
print(db.execute(""PRAGMA sqlite3_temp_directory='/home/plchuser/'"").fetchall())
print(db.execute(""PRAGMA temp_store_directory"").fetchall())
print(db.execute(""PRAGMA sqlite3_temp_directory"").fetchall())
```
```text
[(1,)]
[]
[(1,)]
[]
[]
[('/home/plchuser/',)]
[]
```
Here's the docs on the Temporary File Storage Locations
https://www.sqlite.org/tempfiles.html",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/430/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1221849746,I_kwDOBm6k_c5I0_KS,1732,Custom page variables aren't decoded,52649,open,0,,,2,2022-04-30T14:55:46Z,2022-05-03T01:50:45Z,,NONE,,"I have a page `templates/filer/{filer_id}.html`. It uses `filer_id` in a `sql()` call to fetch data. With 0.61.1 this no longer works because the spaces in IDs isn't preserved. Instead, the escaped version is passed into the template and the id isn't present in my db.
Datasette should unescape the url component before passing them into the template.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1732/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1129052172,I_kwDOBm6k_c5DS_gM,1633,base_url or prefix does not work with _exact match,6613091,open,0,,,2,2022-02-09T21:45:07Z,2022-04-28T09:12:56Z,,NONE,,"When i hit ""Apply"" button to search with ""_exact"" for a column syntax the URL prefix is removed from the url.
And the result is:
If I add the marked row to url_builder.py it seams to work:
",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1633/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1182227211,I_kwDOBm6k_c5Gd1sL,1692,[plugins][feature request]: Support additional script tag attributes when loading custom JS,9020979,open,0,,,2,2022-03-27T01:16:03Z,2022-03-30T06:14:51Z,,CONTRIBUTOR,,"## Motivation
- The build system for my new [plugin](https://github.com/hydrosquall/datasette-nteract-data-explorer) has two output JS files, one for browsers that support ES modules, one for browsers that don't. At present, I'm only passing one of them into Datasette.
- I'd like to specify the non-es-module script as a fallback for older browsers. I don't want to load it by default, because browsers will only need one, and it's heavy, so for now I'm only supporting modern browsers.
To be able to support legacy browsers without slowing down users with modern browsers, I would like to be able to set additional HTML attributes on the tag fallback script, `nomodule` and `defer`. My injected scripts should look something like this:
```html
```
## Proposal
To achieve this, I propose additional optional properties to the API accepted by the `extra_js_urls` hook and custom JS field the `metadata.json` [described here](https://docs.datasette.io/en/stable/custom_templates.html#custom-css-and-javascript).
Under this API, I'd write something like this to get the above HTML rendered in Datasette.
```json
{
""extra_js_urls"": [
{
""url"": ""/index.my-es-module-bundle.js"",
""module"": true,
},
{
""url"": ""/index.my-legacy-fallback-bundle.js"",
""nomodule"": """",
""defer"": true
}
]
}
```
## Resources
- [MDN on the script tag](https://developer.mozilla.org/en-US/docs/Web/HTML/Element/script)
- There may be other properties that could be added that are potentially valuable, like `async` or `referrerpolicy`, but I don't have an immediate need for those.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1692/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1185868354,I_kwDOBm6k_c5GrupC,1695,Option to un-filter facet not shown for `?col__exact=value`,9599,open,0,,,2,2022-03-30T04:44:02Z,2022-03-30T04:46:18Z,,OWNER,,"Spotted this on a page with `COUNTY__exact=Lee` in the URL:
With `COUNTY=Lee` you get this instead:
![]()
",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1695/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1182141761,I_kwDOBm6k_c5Gdg1B,1690,"Idea: `datasette.set_actor_cookie(response, actor)`",9599,open,0,,,2,2022-03-26T22:41:52Z,2022-03-26T22:43:00Z,,OWNER,,"I just wrote this code in a plugin and it felt like it could benefit from an abstraction: https://github.com/simonw/datasette-auth0/blob/152e6eb21e96e9b73bd9c205f9749a1297d0ef0b/datasette_auth0/__init__.py#L79-L92
```python
redirect_response = Response.redirect(""/"")
expires_at = int(time.time()) + (24 * 60 * 60)
redirect_response.set_cookie(
""ds_actor"",
datasette.sign(
{
""a"": profile_response.json(),
""e"": baseconv.base62.encode(expires_at),
},
""actor"",
),
)
return redirect_response
```
",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1690/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1177101697,I_kwDOBm6k_c5GKSWB,1681,Potential bug in numeric handling where_clause for filters,9599,open,0,,,2,2022-03-22T17:43:50Z,2022-03-22T17:49:09Z,,OWNER,,"> Note that Datasette does already have special logic to convert parameters to integers for numeric comparisons like `>`:
>
> https://github.com/simonw/datasette/blob/c4c9dbd0386e46d2bf199f0ed34e4895c98cb78c/datasette/filters.py#L203-L212
>
> Though... it looks like there's a bug in that? It doesn't account for `float` values - `""3.5"".isdigit()` return `False` - probably for the best, because `int(3.5)` would break that value anyway.
_Originally posted by @simonw in https://github.com/simonw/datasette/issues/1671#issuecomment-1075432283_",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1681/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
910088936,MDU6SXNzdWU5MTAwODg5MzY=,1355,datasette --get should efficiently handle streaming CSV,9599,open,0,,,2,2021-06-03T04:40:40Z,2022-03-20T22:38:53Z,,OWNER,,"It would be great if you could use `datasette --get` to run queries that return streaming CSV data without running out of RAM.
Current implementation looks like it loads the entire result into memory first: https://github.com/simonw/datasette/blob/f78ebdc04537a6102316d6dbbf6c887565806078/datasette/cli.py#L546-L552",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1355/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
626593402,MDU6SXNzdWU2MjY1OTM0MDI=,780,Internals documentation for datasette.metadata() method,9599,open,0,,3268330,2,2020-05-28T15:14:22Z,2022-03-15T20:50:34Z,,OWNER,,https://github.com/simonw/datasette/blob/40885ef24e32d91502b6b8bbad1c7376f50f2830/datasette/app.py#L297-L328,107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/780/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1161937073,I_kwDOBm6k_c5FQcCx,1653,Mechanism to default a table to sorting by multiple columns,9599,open,0,,,2,2022-03-07T21:20:11Z,2022-03-07T21:23:39Z,,OWNER,,"### Discussed in https://github.com/simonw/datasette/discussions/1652
Originally posted by **zaneselvans** March 7, 2022
It's easy to tell datasette to sort tables using a single column, as [described in the docs](https://docs.datasette.io/en/stable/metadata.html#setting-a-default-sort-order):
```yaml
databases:
ferc1:
tables:
f1_edcfu_epda:
sort: created_time
```
But is there some way to tell it to sort using a composite key, like you would in an `ORDER BY` clause instead? For example, the way it's being done **[in this query](https://data.catalyst.coop/ferc1?sql=select%0D%0A++rowid%2C%0D%0A++respondent_id%2C%0D%0A++report_year%2C%0D%0A++spplmnt_num%2C%0D%0A++row_number%2C%0D%0A++row_seq%2C%0D%0A++row_prvlg%2C%0D%0A++acct_num%2C%0D%0A++depr_plnt_base%2C%0D%0A++est_avg_srvce_lf%2C%0D%0A++net_salvage%2C%0D%0A++apply_depr_rate%2C%0D%0A++mrtlty_crv_typ%2C%0D%0A++avg_remaining_lf%2C%0D%0A++report_prd%0D%0Afrom%0D%0A++f1_edcfu_epda%0D%0Awhere%0D%0A++respondent_id+%3D+210%0D%0A++AND+report_year+%3D+2020%0D%0Aorder+by%0D%0A++report_year%2C+report_prd%2C+respondent_id%2C+spplmnt_num%2C+row_number%0D%0Alimit%0D%0A++1000)** on our Datasette?
```sql
SELECT
respondent_id,
report_year,
spplmnt_num,
row_number,
row_seq,
row_prvlg,
acct_num,
depr_plnt_base,
est_avg_srvce_lf,
net_salvage,
apply_depr_rate,
mrtlty_crv_typ,
avg_remaining_lf,
report_prd
FROM
f1_edcfu_epda
WHERE
respondent_id = 210
AND report_year = 2020
ORDER BY
report_year, report_prd, respondent_id, spplmnt_num, row_number
LIMIT
1000
```
The problem here is that by default it's using `rowid` (the SQLite assigned autoincrementing integer key) to order the records, but the table **should** have a natural composite primary key, but the original database that this data is being migrated from doesn't enforce unique primary keys, so there are dupes, and we don't want to drop those rows, and the records are somehow getting jumbled in the database (the `rowid` ordering isn't lined up with the expected ordering based on the composite primary key, though it's close) and this jumbling is confusing to users that expect to see the data ordered based on the natural primary key.
I've tried setting the `sort` metadata parameter to a list of column names, a tuple of column names, a quoted string of comma-separated column names, a quoted string of a tuple of column names...
```yaml
databases:
ferc1:
tables:
f1_edcfu_epda:
sort: ""(report_year, report_prd, respondent_id, spplmnt_num, row_number)""
```
and they all give me server errors like:
```
Cannot sort table by (report_year, report_prd, respondent_id, spplmnt_num, row_number)
``` ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1653/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1148725876,I_kwDOBm6k_c5EeCp0,1640,"Support static assets where file length may change, e.g. logs",57859326,open,0,,,2,2022-02-24T00:34:42Z,2022-03-05T01:19:25Z,,NONE,,"This is a bit of an oxymoron.
I am serving a log.txt file for a background process using the Datasette --static CLI. This is useful as I can observe a background process from the web UI to see any errors that occur (instead of spelunking the logs via docker exec/ssh etc).
I get this error, which I think is because Datasette assumes that the size of the content does not change (but appending new log lines means the content length changes).
```python
Traceback (most recent call last):
File ""/usr/local/lib/python3.9/site-packages/datasette/app.py"", line 1181, in route_path
response = await view(request, send)
File ""/usr/local/lib/python3.9/site-packages/datasette/utils/asgi.py"", line 305, in inner_static
await asgi_send_file(send, full_path, chunk_size=chunk_size)
File ""/usr/local/lib/python3.9/site-packages/datasette/utils/asgi.py"", line 280, in asgi_send_file
await send(
File ""/usr/local/lib/python3.9/site-packages/asgi_csrf.py"", line 104, in wrapped_send
await send(event)
File ""/usr/local/lib/python3.9/site-packages/uvicorn/protocols/http/h11_impl.py"", line 460, in send
output = self.conn.send(event)
File ""/usr/local/lib/python3.9/site-packages/h11/_connection.py"", line 468, in send
data_list = self.send_with_data_passthrough(event)
File ""/usr/local/lib/python3.9/site-packages/h11/_connection.py"", line 501, in send_with_data_passthrough
writer(event, data_list.append)
File ""/usr/local/lib/python3.9/site-packages/h11/_writers.py"", line 58, in __call__
self.send_data(event.data, write)
File ""/usr/local/lib/python3.9/site-packages/h11/_writers.py"", line 78, in send_data
raise LocalProtocolError(""Too much data for declared Content-Length"")
h11._util.LocalProtocolError: Too much data for declared Content-Length
ERROR: Exception in ASGI application
Traceback (most recent call last):
File ""/usr/local/lib/python3.9/site-packages/datasette/app.py"", line 1181, in route_path
response = await view(request, send)
File ""/usr/local/lib/python3.9/site-packages/datasette/utils/asgi.py"", line 305, in inner_static
await asgi_send_file(send, full_path, chunk_size=chunk_size)
File ""/usr/local/lib/python3.9/site-packages/datasette/utils/asgi.py"", line 280, in asgi_send_file
await send(
File ""/usr/local/lib/python3.9/site-packages/asgi_csrf.py"", line 104, in wrapped_send
await send(event)
File ""/usr/local/lib/python3.9/site-packages/uvicorn/protocols/http/h11_impl.py"", line 460, in send
output = self.conn.send(event)
File ""/usr/local/lib/python3.9/site-packages/h11/_connection.py"", line 468, in send
data_list = self.send_with_data_passthrough(event)
File ""/usr/local/lib/python3.9/site-packages/h11/_connection.py"", line 501, in send_with_data_passthrough
writer(event, data_list.append)
File ""/usr/local/lib/python3.9/site-packages/h11/_writers.py"", line 58, in __call__
self.send_data(event.data, write)
File ""/usr/local/lib/python3.9/site-packages/h11/_writers.py"", line 78, in send_data
raise LocalProtocolError(""Too much data for declared Content-Length"")
h11._util.LocalProtocolError: Too much data for declared Content-Length
```
Thanks, I am finding Datasette very useful.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1640/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
712202333,MDU6SXNzdWU3MTIyMDIzMzM=,982,"SQL editor should allow execution of write queries, if you have permission",9599,open,0,,,2,2020-09-30T19:04:35Z,2022-01-13T22:21:29Z,,OWNER,,"The `datasette-write` plugin provides this at the moment https://github.com/simonw/datasette-write - but it feels like it should be a built-in capability, protected by a default permission.
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.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/982/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1077628073,I_kwDOBm6k_c5AO0yp,1550,Research option for returning all rows from arbitrary query,9599,open,0,,,2,2021-12-11T19:31:11Z,2021-12-11T23:43:24Z,,OWNER,,"Inspired by thinking about #1549 - returning ALL rows from an arbitrary query is a lot easier if you just run that query and keep iterating over the cursor.
I've avoided doing that in the past because it could tie up a connection for a long time - but in private instances this wouldn't be such a problem.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1550/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
950664971,MDU6SXNzdWU5NTA2NjQ5NzE=,1401,unordered list is not rendering bullet points in description_html on database page,536941,open,0,,,2,2021-07-22T13:24:18Z,2021-10-23T13:09:10Z,,CONTRIBUTOR,,"Thanks for this tremendous package, @simonw!
In the `description_html` for a database, I [have an unordered list](https://github.com/labordata/warehouse/blob/fcea4502e5b615b0eb3e0bdcb45ec634abe20bb6/warehouse_metadata.yml#L19-L22).
However, on the database page on the deployed site, it is not rendering this as a bulleted list.
Page here: https://labordata-warehouse.herokuapp.com/nlrb-9da4ae5
The documentation gives an [example of using an unordered list](https://docs.datasette.io/en/stable/metadata.html#using-yaml-for-metadata) in a `description_html`, so I expected this will work.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1401/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
602533481,MDU6SXNzdWU2MDI1MzM0ODE=,3,"Import EXIF data into SQLite - lens used, ISO, aperture etc",9599,open,0,,5324096,2,2020-04-18T19:24:31Z,2021-10-05T12:38:24Z,,MEMBER,,,256834907,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/3/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
999902754,I_kwDOBm6k_c47mU4i,1473,base logo link visits `undefined` rather than href url,192568,open,0,,,2,2021-09-18T04:17:04Z,2021-09-19T00:45:32Z,,CONTRIBUTOR,,"I have two connected sites:
http://www.SaferOrToxic.org
(a Hugo website)
and:
http://disinfectants.SaferOrToxic.org/disinfectants/listN
(a datasette table page)
The latter is linked as ""The List"" in the former's menu.
(I'd love a prettier URL, but that's what I've got.)
On:
http://disinfectants.SaferOrToxic.org/disinfectants/listN
... all the other menu links should point back to:
https://www.SaferOrToxic.org
And they do!
But the logo, for some reason--though it has an href pointing to:
https://www.SaferOrToxic.org
Keeps going to this instead:
https://disinfectants.saferortoxic.org/disinfectants/undefined
What is causing that? How can I fix it?
In #1284 back in March, I was doing battle with the index.html template, in a still unresolved issue. (I wanted only a single table page at the root.)
But I thought, well, if I can't resolve that, at least I could just point the main website to the datasette page (""The List,"") and then have the List point back to the home website.
The menu hrefs to https://www.SaferOrToxic.org work just fine, exactly as they should, from the datasette page. Even the Home link works properly.
But the logo link keeps rewriting to: https://disinfectants.saferortoxic.org/disinfectants/undefined
This is the HTML:
```
![]()
```
Is this somehow related to cloudflare?
Or something in the datasette code?
I'm starting to think it's a cloudflare issue.
![]()
Can I at least rule out it being a datasette issue?
My repository is here:
https://github.com/mroswell/list-N
(BTW, I couldn't figure out how to reference a local image, either, on the datasette side, which is why I'm using the image from the www home page.)
",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1473/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
602585497,MDU6SXNzdWU2MDI1ODU0OTc=,7,Integrate image content hashing,9599,open,0,,,2,2020-04-19T00:36:58Z,2021-08-26T02:01:01Z,,MEMBER,,To spot duplicate images (where the file content differs such that the sha256 is no longer a match) it would be useful to calculate and store perceptual hashes of some sort.,256834907,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/7/reactions"", ""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 1, ""rocket"": 0, ""eyes"": 0}",,
975166271,MDU6SXNzdWU5NzUxNjYyNzE=,20,Add index on workout_points.date,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!",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}",,
974067156,MDU6SXNzdWU5NzQwNjcxNTY=,318,Research: handle gzipped CSV directly,9599,open,0,,,2,2021-08-18T21:23:04Z,2021-08-18T21:25:30Z,,OWNER,,"Would it be worthwhile for the `sqlite-utils` command-line tool to grow features to efficiently directly interact with gzipped CSV data?
Maybe add `--gz` options to both `insert` and to the various commands that output query results.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/318/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
969548935,MDU6SXNzdWU5Njk1NDg5MzU=,1429,UI for setting `?_size=max` on table page,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 `?_size=max` (or higher if `max_returned_rows` is set higher than that).
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:
![]()
",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1429/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
961008507,MDU6SXNzdWU5NjEwMDg1MDc=,308,Add an interactive tutorial as a Jupyter notebook,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.,140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/308/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
957302085,MDU6SXNzdWU5NTczMDIwODU=,1408,"Review places in codebase that use os.chdir(), in particularly relating to tests",9599,open,0,,,2,2021-07-31T18:57:06Z,2021-07-31T19:00:32Z,,OWNER,,"> To clarify: the core problem here is that an error is thrown any time you call `os.getcwd()` but the directory you are currently in has been deleted.
>
> `runner.isolated_filesystem()` assumes that the current directory in has not been deleted. But the various temporary directory utilities in `pytest` work by creating directories and then deleting them.
>
> Maybe there's a larger problem here that I play a bit fast and loose with `os.chdir()` in both the test suite and in various lines of code in Datasette itself (in particular in the publish commands)?
_Originally posted by @simonw in https://github.com/simonw/datasette/issues/1406#issuecomment-890390198_",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1408/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
951185411,MDU6SXNzdWU5NTExODU0MTE=,1402,feature request: social meta tags,536941,open,0,,,2,2021-07-23T01:57:23Z,2021-07-26T19:31:41Z,,CONTRIBUTOR,,"it would be very nice if the twitter, slack, and other social media could make rich cards when people post a link to a datasette instance
",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1402/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
792652391,MDU6SXNzdWU3OTI2NTIzOTE=,1199,Experiment with PRAGMA mmap_size=N,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 `PRAGMA mmap_size=N` option can be used to enable it.
It would be very interesting to understand the impact this could have on Datasette performance for various different shapes of data.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1199/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
736365306,MDU6SXNzdWU3MzYzNjUzMDY=,1083,Advanced CSV export for arbitrary queries,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.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1083/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
913809802,MDU6SXNzdWU5MTM4MDk4MDI=,1366,Get rid of this `restore_working_directory` hack entirely,9599,open,0,,,2,2021-06-07T18:01:21Z,2021-06-07T18:03:03Z,,OWNER,,"> That seems to have fixed it. I'd love to get rid of this `restore_working_directory` hack entirely.
_Originally posted by @simonw in https://github.com/simonw/datasette/issues/1361#issuecomment-855308811_",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1366/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
904598267,MDExOlB1bGxSZXF1ZXN0NjU1NzQxNDI4,1348,DRAFT: add test and scan for docker images,10801138,open,0,,,2,2021-05-28T03:02:12Z,2021-05-28T03:06:16Z,,CONTRIBUTOR,simonw/datasette/pulls/1348,"**NOTE: I don't think this PR is ready, since the arm/v6 and arm/v7 images are failing pytest due to missing dependencies (gcc and friends). But it's pretty close.**
Closes https://github.com/simonw/datasette/issues/1344 . Using a build-matrix for the platforms and [this test](https://github.com/simonw/datasette/issues/1344#issuecomment-849820019), we test all the platforms in parallel. I also threw in container scanning.
### Switch `pip install` to use either tags or commit shas
Notably! This also [changes the Dockerfile](https://github.com/blairdrummond/datasette/blob/7fe5315d68e04fce64b5bebf4e2d7feec44f8546/Dockerfile#L20) so that it accepts tags or commit-shas.
```
# It's backwards compatible with tags, but also lets you use shas
root@712071df17af:/# pip install git+git://github.com/simonw/datasette.git@0.56
Collecting git+git://github.com/simonw/datasette.git@0.56
Cloning git://github.com/simonw/datasette.git (to revision 0.56) to /tmp/pip-req-build-u6dhm945
Running command git clone -q git://github.com/simonw/datasette.git /tmp/pip-req-build-u6dhm945
Running command git checkout -q af5a7f1c09f6a902bb2a25e8edf39c7034d2e5de
Collecting Jinja2<2.12.0,>=2.10.3
Downloading Jinja2-2.11.3-py2.py3-none-any.whl (125 kB)
```
This lets you build the containers in CI every push for testing, which maybe resolves [this problem](https://github.com/simonw/datasette/issues/1272#issuecomment-808648974)?
# Workflow run example
You can see the results in my workflow [here](https://github.com/blairdrummond/datasette/pull/2/checks?check_run_id=2690570717). The commit history is different because I squashed this branch, also in the testing branch I had to change `github.com/simonw` to `github.com/blairdrummond` for the CI to pick up my git_sha.
## Why did the builds fail?
**NOTE:** The results of all the tests fail, but for different reasons! A few fail to install Rust, the amd64 passes the tests (phew!) but has critical CVEs which fail the container scan, the Arm/v6 and Arm/v7 seem to fail to install the test dependencies due to missing programs like `gcc`. (`gcc` is not sufficient though, as [this run](https://github.com/blairdrummond/datasette/pull/3/checks?check_run_id=2690672982) indicates) ",107914493,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1348/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0,
842862708,MDU6SXNzdWU4NDI4NjI3MDg=,1280,Ability to run CI against multiple SQLite versions,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.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1280/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
281110295,MDU6SXNzdWUyODExMTAyOTU=,173,I18n and L10n support,50138,open,0,,,2,2017-12-11T17:49:58Z,2021-04-26T12:10:01Z,,NONE,,It would be less geeky and more user friendly if the display strings in the filter menu and possibly other parts could be localized.,107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/173/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
791237799,MDU6SXNzdWU3OTEyMzc3OTk=,1196,Access Denied Error in Windows,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 `Access Denied` error which is leading to `RecursionError: maximum recursion depth exceeded while calling a Python object`.
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 `datasette publish vercel jmeter.db --project jmeter --install datasette-vega`
PS: localhost is working fine.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1196/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
826700095,MDU6SXNzdWU4MjY3MDAwOTU=,1255,Facets timing out but work when filtering,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 `These facets timed out` on any faceting operation. However, when I apply a filter, the facets appear in the filtered view. The error returns when the filter is removed. My data only has 38,450 rows.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1255/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
617323873,MDU6SXNzdWU2MTczMjM4NzM=,766,Enable wildcard-searches by default,2181410,open,0,,,2,2020-05-13T10:14:48Z,2021-03-05T16:35:21Z,,NONE,,"Hi Simon.
It seems that datasette currently has wildcard-searches disabled by default (along with the boolean search-options, NEAR-queries and more, and despite the docs). If I try out the search-url provided in the [docs](https://datasette.readthedocs.io/en/stable/full_text_search.html#the-table-page-and-table-view-api) (https://fara.datasettes.com/fara/FARA_All_ShortForms?_search=manafort), it does not handle wildcard-searches, and I'm unable to make it work on my datasette-instance.
I would argue that wildcard-searches is such a standard query, that it should be enabled by default. Requiring ""_searchmode=raw"" when using prefix-searches seems unnecessary. Plus: What happens to non-ascii searches when using ""_searchmode=raw""? Is the ""escape_fts""-function from datasette.utils ignored?
Thanks!
/Claus",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/766/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
792890765,MDU6SXNzdWU3OTI4OTA3NjU=,1200,?_size=10 option for the arbitrary query page would be useful,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 - `_size=10` does not do anything at the moment. It would be useful if it did.
Would also be good if it persisted in a hidden form field.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1200/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
803929694,MDU6SXNzdWU4MDM5Mjk2OTQ=,1219,Try profiling Datasette using scalene,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.,107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1219/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
801780625,MDU6SXNzdWU4MDE3ODA2MjU=,9,SSL Error,12669260,open,0,,,2,2021-02-05T02:12:56Z,2021-02-07T18:45:04Z,,NONE,,"Here's the error I get when running `pip install pocket-to-sqlite`:
```
Could not fetch URL https://pypi.python.org/simple/pocket-to-sqlite/: There was a problem confirming the ssl certificate: [SSL: TLSV1_ALERT_PROTOCOL_VERSION] tlsv1 alert protocol version (_ssl.c:661) - skipping
Could not find a version that satisfies the requirement pocket-to-sqlite (from versions: )
No matching distribution found for pocket-to-sqlite
```
Does this require python 3? ",213286752,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/pocket-to-sqlite/issues/9/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
782708469,MDU6SXNzdWU3ODI3MDg0Njk=,1183,"Take advantage of sqlite-utils cached table counts, if available",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 `_counts` table with triggers to maintain counts for individual tables. Datasette could look for this table and use it for counts, dramatically speeding up places that currently suffer from slow counts. Refs #859.
https://sqlite-utils.datasette.io/en/stable/python-api.html#cached-table-counts-using-triggers",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1183/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
780767542,MDU6SXNzdWU3ODA3Njc1NDI=,1180,Lazily evaluated arguments for call_with_supported_arguments,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 `sql` which could be executed as `select count(*) from ({sql})` but that's a bit inelegant.
So, idea: if your defined render function takes a `total` argument, the caller runs a `count(*)` query and passes you that total.
To implement this I would need to teach the `call_with_supported_arguments` that some arguments are lazy - they should execute a function (or an async function) but only if they are needed.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1180/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
450032134,MDU6SXNzdWU0NTAwMzIxMzQ=,495,facet_m2m gets confused by multiple relationships,9599,open,0,,,2,2019-05-29T21:37:28Z,2020-12-17T05:08:22Z,,OWNER,,"I got this for a database I was playing with:
![]()
I think this is because of these three tables:
![]()
",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/495/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
769376447,MDU6SXNzdWU3NjkzNzY0NDc=,2,killed by oomkiller on large location-history,231498,open,0,,,2,2020-12-17T00:32:24Z,2020-12-17T00:48:32Z,,NONE,,"memory seems to grow unbounded and is oom-killed after about 20GB memory usage.
this is happening while loading a ~1GB uncompressed location history.",206649770,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/2/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
628572716,MDU6SXNzdWU2Mjg1NzI3MTY=,791,Tutorial: building a something-interesting with writable canned queries,9599,open,0,,,2,2020-06-01T16:32:05Z,2020-10-10T23:34:42Z,,OWNER,,"Initial idea: TODO list, as a tutorial for #698 writable canned queries.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/791/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
698791218,MDU6SXNzdWU2OTg3OTEyMTg=,50,"favorites --stop_after=N stops after min(N, 200)",370930,open,0,,,2,2020-09-11T03:38:14Z,2020-09-13T05:11:14Z,,CONTRIBUTOR,,"For any number greater than 200, `favorites --stop_after` stops after getting 200 tweets, e.g.
```
$ twitter-to-sqlite favorites tweets.db --stop_after=300
Importing favorites [####################################] 199
$
```
I don't _think_ this is a limitation of the API (if you omit `--stop_after` you get some very large number, possibly all of them), so I _think_ this is a bug.",206156866,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/50/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
649429772,MDU6SXNzdWU2NDk0Mjk3NzI=,886,Reconsider how _actor_X magic parameter deals with missing values,9599,open,0,,,2,2020-07-02T00:00:38Z,2020-09-11T21:35:26Z,,OWNER,,"I had to build a custom `_actorornull` prefix for [datasette-saved-queries](https://github.com/simonw/datasette-saved-queries/blob/37c00e56ac398e1f9aa342d30357de013a9b37b4/datasette_saved_queries/__init__.py):
```python
def actorornull(key, request):
if request.actor is None:
return None
return request.actor.get(key)
@hookimpl
def register_magic_parameters():
return [
(""actorornull"", actorornull),
]
```
Maybe the `actor` magic in Datasette core should do that out of the box?
https://github.com/simonw/datasette/blob/f1f581b7ffcd5d8f3ae6c1c654d813a6641410eb/datasette/default_magic_parameters.py#L14-L17
",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/886/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
696908389,MDU6SXNzdWU2OTY5MDgzODk=,961,Verification checks for metadata.json on startup,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 `facets:` reference that mentioned a column that did not exist.
Catching these on startup would be good.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/961/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
695556681,MDU6SXNzdWU2OTU1NTY2ODE=,19,Figure out incremental re-indexing,9599,open,0,,,2,2020-09-08T05:23:31Z,2020-09-08T05:27:07Z,,MEMBER,,As tables get bigger reindexing everything on a schedule (essentially recreating the entire index from scratch) will start to become a performance bottleneck.,197431109,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/19/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
695553522,MDU6SXNzdWU2OTU1NTM1MjI=,18,Deleted records stay in the search index,9599,open,0,,,2,2020-09-08T05:14:23Z,2020-09-08T05:15:51Z,,MEMBER,,"Here's why: https://github.com/dogsheep/dogsheep-beta/blob/24f7898d41a39218058f174c75ba62f7c0fcfff6/dogsheep_beta/utils.py#L44-L53
That should probably do `DELETE FROM index1.search_index WHERE [table] = ?` first.",197431109,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/18/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
695441530,MDU6SXNzdWU2OTU0NDE1MzA=,154,OperationalError: cannot change into wal mode from within a transaction,9599,open,0,,,2,2020-09-07T23:42:44Z,2020-09-07T23:47:10Z,,OWNER,,"I'm getting this error when running:
sqlite-utils enable-wal beta.db
`OperationalError: cannot change into wal mode from within a transaction`
I'm worried that maybe that's because of this new code from #152:
https://github.com/simonw/sqlite-utils/blob/deb2eb013ff85bbc828ebc244a9654f0d9c3139e/sqlite_utils/db.py#L128-L129",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/154/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
659873662,MDU6SXNzdWU2NTk4NzM2NjI=,898,datasette.utils.testing module,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.:
> I may need to borrow this function from Datasette for the tests:
> https://github.com/simonw/datasette/blob/1f6a134369e6a7efaae9db469f15b1dd2b7f3709/tests/fixtures.py#L836-L851
>
> It's not importable (it lives in `fixtures.py` and not in the `datasette` package that gets packaged for PyPI) - maybe I should fix that in Datasette by adding a `from datasette.utils.testing` module.
_Originally posted by @simonw in https://github.com/simonw/datasette-update-api/issues/4#issuecomment-660419182_",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/898/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
628156527,MDU6SXNzdWU2MjgxNTY1Mjc=,789,Mechanism for enabling pluggy tracing,9599,open,0,,,2,2020-06-01T05:10:14Z,2020-06-01T05:11:03Z,,OWNER,,"Could be useful for debugging plugins: https://pluggy.readthedocs.io/en/latest/#call-tracing
I tried this out by adding these two lines in `plugins.py`:
```python
pm = pluggy.PluginManager(""datasette"")
pm.add_hookspecs(hookspecs)
# Added these:
pm.trace.root.setwriter(print)
pm.enable_tracing()
```
Output looked something like this:
```
INFO: 127.0.0.1:52724 - ""GET /-/-/static/app.css HTTP/1.1"" 404 Not Found
actor_from_request [hook]
datasette:
request:
finish actor_from_request --> [] [hook]
extra_body_script [hook]
template: show_json.html
database: None
table: None
view_name: json_data
datasette:
finish extra_body_script --> [] [hook]
extra_template_vars [hook]
template: show_json.html
database: None
table: None
view_name: json_data
request:
datasette:
finish extra_template_vars --> [] [hook]
extra_css_urls [hook]
template: show_json.html
database: None
table: None
datasette:
finish extra_css_urls --> [] [hook]
extra_js_urls [hook]
template: show_json.html
database: None
table: None
datasette:
finish extra_js_urls --> [] [hook]
INFO: 127.0.0.1:52724 - ""GET /-/actor HTTP/1.1"" 200 OK
actor_from_request [hook]
datasette:
request:
finish actor_from_request --> [] [hook]
```",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/789/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
374953006,MDU6SXNzdWUzNzQ5NTMwMDY=,369,Interface should show same JSON shape options for custom SQL queries,416374,open,0,,3268330,2,2018-10-29T10:39:15Z,2020-05-30T17:24:06Z,,CONTRIBUTOR,,"At the moment the page returning a custom SQL query shows the JSON and CSV APIs, but not the multiple JSON shapes. However, adding the `_shape` parameter to the JSON API URL manually still works, so perhaps there should be consistency in the interface by having the same ""Advanced Export"" box for custom SQL queries.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/369/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
607888367,MDU6SXNzdWU2MDc4ODgzNjc=,13,Also upload movie files,9599,open,0,,,2,2020-04-27T22:11:25Z,2020-04-28T00:39:45Z,,MEMBER,,"The `upload` command currently only handles static images:
https://github.com/dogsheep/photos-to-sqlite/blob/d939455af00e07866686457ee2fcb9b2d1b7194e/photos_to_sqlite/utils.py#L26-L33
Need to cover movies taken by my phone and DSLR too.",256834907,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/13/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
539204432,MDU6SXNzdWU1MzkyMDQ0MzI=,70,Implement ON DELETE and ON UPDATE actions for foreign keys,26292069,open,0,,,2,2019-12-17T17:19:10Z,2020-02-27T04:18:53Z,,NONE,,"Hi! I did not find any mention on the library about ON DELETE and ON UPDATE actions for foreign keys. Are those expected to be implemented? If not, it would be a nice thing to include!",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/70/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
550293770,MDU6SXNzdWU1NTAyOTM3NzA=,658,How do I use the app.css as style sheet?,49656826,open,0,,,2,2020-01-15T16:27:57Z,2020-02-07T00:29:50Z,,NONE,,"Simon,
I'm trying to use the app.css (in static folder) as style sheet but the datasette on Heroku simply ignore it! I read everything about customization here and on readthedocs but still can't.
Is this possible?
Thanks!",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/658/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
464987783,MDExOlB1bGxSZXF1ZXN0Mjk1MTI3MjEz,546,Facet by delimiter,9599,open,0,,,2,2019-07-07T20:06:05Z,2019-11-18T23:46:01Z,,OWNER,simonw/datasette/pulls/546,Refs #510,107914493,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/546/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0,
510076368,MDU6SXNzdWU1MTAwNzYzNjg=,605,Support queries at the table level,12617395,open,0,,,2,2019-10-21T15:58:30Z,2019-10-30T18:55:37Z,,NONE,,"Per the issue described in [issue #588](https://github.com/simonw/datasette/issues/588), it was determined queries are not supported at the table level. Per my last comment in the issue, I'd like to request support for this as it would help eliminate errors in the event certain tables are not present in the database.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/605/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
465003070,MDU6SXNzdWU0NjUwMDMwNzA=,551,Ship many-to-many faceting support (and facet-by-delimiter),9599,open,0,,,2,2019-07-07T23:11:45Z,2019-07-08T15:45:23Z,,OWNER,,,107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/551/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
275755475,MDU6SXNzdWUyNzU3NTU0NzU=,140,Heatmap visualization plugin,9599,open,0,,,2,2017-11-21T15:34:23Z,2019-05-13T18:33:51Z,,OWNER,,Could use https://github.com/scottbedard/svelte-heatmap,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}",,
288438570,MDU6SXNzdWUyODg0Mzg1NzA=,179,More metadata options for template authors ,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/952637152797458432,107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/179/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
411257981,MDU6SXNzdWU0MTEyNTc5ODE=,412,Linked Data(sette),43340,open,0,,,2,2019-02-18T00:38:14Z,2019-03-19T10:09:46Z,,NONE,,"I've a radical feature idea (possible first as an extension in order to experiment?):
I'd like to link to a remote table from a remote database, e.g. with a function ""linked_datasette()"". So one could do following query:
```
SELECT foo.id, foo.a, remote_party.b
FROM foo
JOIN linked_datasette(""https://parlgov.datasettes.com/parlgov-b42a2f2"") AS remote_party
ON foo.id=remote_party.id
```
This is inspired by SPARQL's SERVICE keyword for remote RDF ""endpoints"".
There's a foundation in the SQL Standard called SQL/MED (https://rhaas.blogspot.com/2011/01/why-sqlmed-is-cool.html ).
And here's an implementation from me in Postgres FDW to connect another Postgres ""endpoint"": https://pastebin.com/Fz2v64Cz .",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/412/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
330826972,MDU6SXNzdWUzMzA4MjY5NzI=,308,"Support extra Heroku apps:create options - region, space, team",78156,open,0,,,2,2018-06-08T23:08:33Z,2018-09-21T14:09:28Z,,NONE,,"It would be useful to document how to pass Heroku CLI options on `datasette publish`, e.g. `--region eu`.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/308/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
326599525,MDU6SXNzdWUzMjY1OTk1MjU=,286,Database hash should include current datasette version,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).",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/286/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
316621102,MDU6SXNzdWUzMTY2MjExMDI=,235,Add limit on the size in KB of data returned from a single query,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 `group_concat()` aggregate function. It would be good to avoid malicious SQL creating 100MB+ responses and potentially crashing the server.
I think the easiest place to implement that is here:
https://github.com/simonw/datasette/blob/f3f42957128c1e7ece584d45d9167f2ac003a3b8/datasette/app.py#L175-L190
Currently we use `cursor.fetchmany()` to fetch up to 1,001 rows at once. Instead, we could switch to iterating through `cursor.fetchone()` (or just using `for row in cursor`) and keeping a running tally of the size of the response as we go - maybe just using `rough_response_size += len(str(row))`. If that goes above a certain threshold we can terminate the response with an error, like we do with timelimits.
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.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/235/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
|