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
1988525411,I_kwDOCGYnMM52hn1j,603,Pyhton 3.12 Bug report,1324252,open,0,,,1,2023-11-10T22:57:48Z,2023-12-08T05:10:31Z,,NONE,,"I start with new python3 verison 3.12.0
Also have the error where connect DataBase

```
Traceback (most recent call last):
  File ""/home/t/Development/python/FKPJ/ClinicSYS/run.py"", line 1, in <module>
    import re, os, io, json, sqlite_utils, requests, pytz, logging
  File ""/home/t/.local/lib/python3.12/site-packages/sqlite_utils/__init__.py"", line 1, in <module>
    from .db import Database
  File ""/home/t/.local/lib/python3.12/site-packages/sqlite_utils/db.py"", line 277, in <module>
    class Database:
  File ""/home/t/.local/lib/python3.12/site-packages/sqlite_utils/db.py"", line 306, in Database
    filename_or_conn: Optional[Union[str, pathlib.Path, sqlite3.Connection]] = None,
                                                        ^^^^^^^^^^^^^^^^^^
```
This bug come from `sqlite-utils` since's v3.33.
Anyone get the same ?

As well now of the resolved plan just keep the sqlite-utils version in python3.12 with v3.32.1 [tested]
but where are the sqlite3.Connection problem.... 

This won't happen on python version down to 3.11[tested]
Just the python3.12.0, I have test this error are come from the sqlite3 connection
The error say from `sqlite_utils` and with the sqlite3 Connection, what can I do.

Let fix together.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/603/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1978603203,I_kwDOCGYnMM517xbD,602,`sqlite-utils transform` removes the `AUTOINCREMENT` keyword,4472046,open,0,,,0,2023-11-06T08:48:43Z,2023-11-06T08:48:43Z,,NONE,,"### Context

We ran into this bug randomly, noticing that deleted `ROWID` would get reused after migrating the DB. Using `transform` to change any column in the table will also unexpectedly strip away the `AUTOINCREMENT` keyword from the primary key definition, even if it was not the transformation target.

### Reproducible example

**Original database**

```sql
$ sqlite3 test.db << EOF
CREATE TABLE mytable (
    col1 INTEGER PRIMARY KEY AUTOINCREMENT,
    col2 TEXT NOT NULL
)
EOF

$ sqlite3 test.db "".schema mytable""
CREATE TABLE mytable (
    col1 INTEGER PRIMARY KEY AUTOINCREMENT,
    col2 TEXT NOT NULL
);
```

**Modified database after sqlite-utils**

```sql
$ sqlite-utils transform test.db mytable --rename col2 renamedcol2

$ sqlite3 test.db ""SELECT sql FROM sqlite_master WHERE name = 'mytable';""
CREATE TABLE IF NOT EXISTS ""mytable"" (
   [col1] INTEGER PRIMARY KEY,
   [renamedcol2] TEXT NOT NULL
);
```",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/602/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1977155641,I_kwDOCGYnMM512QA5,601,Move plugin directory into documentation,9599,open,0,,,0,2023-11-04T04:07:52Z,2023-11-04T04:07:52Z,,OWNER,,"https://github.com/simonw/sqlite-utils-plugins should be in the official documentation.

I can use the same pattern as https://llm.datasette.io/en/stable/plugins/directory.html

https://til.simonwillison.net/readthedocs/stable-docs",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/601/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1920416843,I_kwDOCGYnMM5ydzxL,597,sqlite-utils insert-files should be able to convert fields,1737541,open,0,,,0,2023-09-30T22:20:47Z,2023-09-30T22:20:47Z,,NONE,,"Currently using both `insert-files` and `convert` is needed in order to create sqlar files, it would be more convenient if it could be done with just one command.

```shell
~
❯ cat test.py
import os

class Example:
    def __init__(self, arg1, arg2):
        self.arg1 = arg1

~
❯ sqlite-utils insert-files test.sqlar sqlar test.py -c name:name -c data:content -c mode:mode -c mtime:mtime -c sz:size --pk=name
  [####################################]  100%

~
❯ sqlite-utils convert test.sqlar sqlar data ""zlib.compress(value)"" --import=zlib --where ""name = 'test.py'""
[####################################]  100%

~
❯ cat test.py | sqlite-utils convert test.sqlar sqlar data ""zlib.compress(sys.stdin.buffer.read())"" --import=zlib --import=sys --where ""name = 'test.py'"" # Alternative way
  [####################################]  100%

~
❯ sqlite3 test.sqlar ""SELECT hex(data) FROM sqlar WHERE name = 'test.py';"" | python3 -c ""import sys, zlib; sys.stdout.buffer.write(zlib.decompress(bytes.fromhex(sys.stdin.read())))""
import os

class Example:
    def __init__(self, arg1, arg2):
        self.arg1 = arg1

~
❯ rm test.py

~
❯ sqlar -l test.sqlar
test.py

~
❯ sqlar -x test.sqlar

~
❯ cat test.py
import os

class Example:
    def __init__(self, arg1, arg2):
        self.arg1 = arg1

```",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/597/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
944846776,MDU6SXNzdWU5NDQ4NDY3NzY=,297,Option for importing CSV data using the SQLite .import mechanism,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 - `.mode csv` and then `.import school.csv schools` is hugely faster than importing via `sqlite-utils insert` and doing the work in Python - but it can only be implemented by shelling out to the `sqlite3` CLI tool, it's not functionality that is exposed to the Python `sqlite3` module.

An option to use this would be useful - maybe something like this:

    sqlite-utils insert blah.db blah blah.csv --fast",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/297/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1891614971,I_kwDOCGYnMM5wv8D7,594,Represent compound foreign keys in table.foreign_keys output,9599,open,0,,,2,2023-09-12T03:48:24Z,2023-09-12T03:51:13Z,,OWNER,,"Given this schema:
```sql
CREATE TABLE departments (
    campus_name TEXT NOT NULL,
    dept_code TEXT NOT NULL,
    dept_name TEXT,
    PRIMARY KEY (campus_name, dept_code)
);
CREATE TABLE courses (
    course_code TEXT PRIMARY KEY,
    course_name TEXT,
    campus_name TEXT NOT NULL,
    dept_code TEXT NOT NULL,
    FOREIGN KEY (campus_name, dept_code) REFERENCES departments(campus_name, dept_code)
);
```
The output of `db[""courses""].foreign_keys` right now is:
```
[ForeignKey(table='courses', column='campus_name', other_table='departments', other_column='campus_name'),
 ForeignKey(table='courses', column='dept_code', other_table='departments', other_column='dept_code')]
```
Which suggests two normal foreign keys, not one compound foreign key.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/594/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1879214365,I_kwDOCGYnMM5wAokd,590,Ability to tell if a Database is an in-memory one,9599,open,0,,,1,2023-09-03T19:50:15Z,2023-09-03T19:50:36Z,,OWNER,,"Currently the constructor accepts `memory=True` or `memory_name=...` and uses those to create a connection, but does not record what those values were:

https://github.com/simonw/sqlite-utils/blob/1260bdc7bfe31c36c272572c6389125f8de6ef71/sqlite_utils/db.py#L307-L349

This makes it hard to tell if a database object is to an in-memory or a file-based database, which is sometimes useful to know.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/590/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1879209560,I_kwDOCGYnMM5wAnZY,589,Mechanism for de-registering registered SQL functions,9599,open,0,,,3,2023-09-03T19:32:39Z,2023-09-03T19:36:34Z,,OWNER,,I used a custom SQL function in a migration script and then realized that it should be de-registered before the end of the script to avoid leaking into the calling code.,140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/589/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1868713944,I_kwDOCGYnMM5vYk_Y,588,`table.get(column=value)` option for retrieving things not by their primary key,9599,open,0,,,1,2023-08-28T00:41:23Z,2023-08-28T00:41:54Z,,OWNER,,"This came up working on this feature:
- https://github.com/simonw/llm/pull/186

I have a table with this schema:
```sql
CREATE TABLE [collections] (
   [id] INTEGER PRIMARY KEY,
   [name] TEXT,
   [model] TEXT
);
CREATE UNIQUE INDEX [idx_collections_name]
    ON [collections] ([name]);
```
So the primary key is an integer (because it's going to have a huge number of rows foreign key related to it, and I don't want to store a larger text value thousands of times), but there is a unique constraint on the `name` - that would be the primary key column if not for all of those foreign keys.

Problem is, fetching the collection by name is actually pretty inconvenient.

Fetch by numeric ID:

```python
try:
    table[""collections""].get(1)
except NotFoundError:
    # It doesn't exist
```
Fetching by name:
```python
def get_collection(db, collection):
    rows = db[""collections""].rows_where(""name = ?"", [collection])
    try:
        return next(rows)
    except StopIteration:
        raise NotFoundError(""Collection not found: {}"".format(collection))
```
It would be neat if, for columns where we know that we should always get 0 or one result, we could do this instead:
```python
try:
    collection = table[""collections""].get(name=""entries"")
except NotFoundError:
    # It doesn't exist
```
The existing `.get()` method doesn't have any non-positional arguments, so using `**kwargs` like that should work:

https://github.com/simonw/sqlite-utils/blob/1260bdc7bfe31c36c272572c6389125f8de6ef71/sqlite_utils/db.py#L1495",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/588/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1856075668,I_kwDOCGYnMM5uoXeU,586,.transform() fails to drop column if table is part of a view,9599,open,0,,,3,2023-08-18T05:25:22Z,2023-08-18T06:13:47Z,,OWNER,,"I got this error trying to drop a column from a table that was part of a SQL view:

> error in view plugins: no such table: main.pypi_releases

Upon further investigation I found that this pattern seemed to fix it:
```python
def transform_the_table(conn):
    # Run this in a transaction:
    with conn:
        # We have to read all the views first, because we need to drop and recreate them
        db = sqlite_utils.Database(conn)
        views = {v.name: v.schema for v in db.views if table.lower() in v.schema.lower()}
        for view in views.keys():
            db[view].drop()
        db[table].transform(
            types=types,
            rename=rename,
            drop=drop,
            column_order=[p[0] for p in order_pairs],
        )
        # Now recreate the views
        for name, schema in views.items():
            db.create_view(name, schema)
```
So grab a copy of any view that might reference this table, start a transaction, drop those views, run the transform, recreate the views again.

> I wonder if this should become an option in `sqlite-utils`? Maybe a `recreate_views=True` argument for `table.tranform(...)`? Should it be opt-in or opt-out?

_Originally posted by @simonw in https://github.com/simonw/datasette-edit-schema/issues/35#issuecomment-1683370548_
            ",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/586/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1754174496,I_kwDOCGYnMM5ojpQg,558,Ability to define unique columns when creating a table,1910303,open,0,,,0,2023-06-13T06:56:19Z,2023-08-18T01:06:03Z,,NONE,,"When creating a new table, it would be good to have an option to set unique columns similar to how not_null is set.

```python
from sqlite_utils import Database

columns = {""mRID"": str, ""name"": str}
db = Database(""example.db"")
db[""ExampleTable""].create(columns, pk=""mRID"", not_null=[""mRID""], if_not_exists=True)
db[""ExampleTable""].create_index([""mRID""], unique=True, if_not_exists=True)
```

So something like this would add the UNIQUE flag to the table definition. 

```python
db[""ExampleTable""].create(columns, pk=""mRID"", not_null=[""mRID""], unique=[""mRID""], if_not_exists=True)
```

```sql
CREATE TABLE ExampleTable (
    mRID TEXT PRIMARY KEY
              NOT NULL
              UNIQUE,
    name TEXT
);
```",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/558/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1818838294,I_kwDOCGYnMM5saUUW,578,Plugin hook for adding new output formats,9599,open,0,,,5,2023-07-24T17:29:18Z,2023-08-07T15:41:49Z,,OWNER,,"> What would it take to add a format hook? I'm still thinking about my GIS workflow, and being able to do `sqlite-utils query ... --geojson` would be nice. It's the one place my Datasette workflow is messy, having to do `datasette . --get /path/to/query.geojson --setting max_rows_returned 10000 --load-extension spatialite`.
> I know the current pattern is `--csv`, but maybe `--format geojson` is more future-proof.

https://discord.com/channels/823971286308356157/997738192360964156/1133076679011602432",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/578/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1839344979,I_kwDOCGYnMM5toi1T,582,Handling CSV/file input that contains NUL bytes,1448859,open,0,,,0,2023-08-07T12:24:14Z,2023-08-07T12:24:14Z,,NONE,,"I was using sqlite-utils to create a DB from a CSV and it turns out the CSV contains a NUL byte.

When the processing reaches the line that contains the NUL an exception is raised.

I'm wondering if there is something that can be done in `sqlite-utils` to say ""skip lines with encoding errors"" or some such. I think it isn't super straightforward though as the exception comes from inside the `csv` module that does all the parsing.

Concretely the file is the `KernelVersions.csv` from https://www.kaggle.com/datasets/kaggle/meta-kaggle

This is the command and output:
```
$ sqlite-utils insert --csv kaggle.db kaggle KernelVersions.csv
  [------------------------------------]    0%
  [#####################---------------]   60%  00:04:24Traceback (most recent call last):
  File ""/home/foobar/miniconda/envs/meta-kaggle/bin/sqlite-utils"", line 10, in <module>
    sys.exit(cli())
  File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/click/core.py"", line 1128, in __call__
    return self.main(*args, **kwargs)
  File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/click/core.py"", line 1053, in main
    rv = self.invoke(ctx)
  File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/click/core.py"", line 1659, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/click/core.py"", line 1395, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/click/core.py"", line 754, in invoke
    return __callback(*args, **kwargs)
  File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/sqlite_utils/cli.py"", line 1223, in insert
    insert_upsert_implementation(
  File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/sqlite_utils/cli.py"", line 1085, in insert_upsert_implementation
    db[table].insert_all(
  File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/sqlite_utils/db.py"", line 3198, in insert_all
    chunk = list(chunk)
  File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/sqlite_utils/db.py"", line 3742, in fix_square_braces
    for record in records:
  File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/sqlite_utils/cli.py"", line 1071, in <genexpr>
    docs = (decode_base64_values(doc) for doc in docs)
  File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/sqlite_utils/cli.py"", line 1068, in <genexpr>
    docs = (verify_is_dict(doc) for doc in docs)
  File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/sqlite_utils/cli.py"", line 1003, in <genexpr>
    docs = (dict(zip(headers, row)) for row in reader)
_csv.Error: line contains NUL
```",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/582/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1822918995,I_kwDOCGYnMM5sp4lT,580,Add way to export to a csv file using the Python library,44324811,open,0,,,0,2023-07-26T18:09:26Z,2023-07-26T18:09:26Z,,NONE,,"According to the documentation, we can make a csv output using the CLI tool, but not the Python library. Could we have the latter?",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/580/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1821108702,I_kwDOCGYnMM5si-ne,579,Special handling for SQLite column of type `JSON`,15178711,open,0,,,0,2023-07-25T20:37:23Z,2023-07-25T20:37:23Z,,CONTRIBUTOR,,"`sqlite-utils` should detect and have specially handling for column with a `JSON` column. For example:

```sql
CREATE TABLE ""dogs"" (
  id INTEGER PRIMARY KEY,
  name TEXT,
  friends JSON 
);
```

## Automatic Nesting

According to [""Nested JSON Values""](https://sqlite-utils.datasette.io/en/stable/cli.html#nested-json-values), sqlite-utils will only expand JSON if the `--json-cols` flag is passed. It looks like it'll try to `json.load` all text column to test if its JSON, which can get expensive on non-json columns. 

Instead, `sqlite-utils` should be default (ie without the `--json-cols` flags) do the `maybe_json()` operation on columns with a declared `JSON` type. So the above table would expand the `""friends""` column as expected, withoutthe `--json-cols` flag:

```bash
sqlite-utils dogs.db ""select * from dogs"" | python -mjson.tool
```

```
[
    {
        ""id"": 1,
        ""name"": ""Cleo"",
        ""friends"": [
            {
                ""name"": ""Pancakes""
            },
            {
                ""name"": ""Bailey""
            }
        ]
    }
]
```

---

I'm sure there's other ways `sqlite-utils` can specially handle JSON columns, so keeping this open while I think of more",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/579/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1795219865,I_kwDOCGYnMM5rAOGZ,566,`--no-headers` doesn't work on most formats,33625,open,0,,,2,2023-07-09T03:43:36Z,2023-07-09T04:13:35Z,,NONE,,"Version 3.33

```
sqlite-utils query library.db 'select asin from audible' --fmt plain --no-headers | head -3
asin
0062804006
0062891421
```",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/566/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1784794489,I_kwDOCGYnMM5qYc15,562,Explore the intersection between sqlite-utils and dataclasses,9599,open,0,,,1,2023-07-02T19:23:08Z,2023-07-02T19:26:39Z,,OWNER,,"> Aside: this makes me think it might be cool if `sqlite-utils` had a way of working with dataclasses rather than just dicts, and knew how to create a SQLite table to match a dataclass and maybe how to code-generate dataclasses for a specific table schema (dynamically or even using code-generation that can be written to disk, for better editor integrations).

_Originally posted by @simonw in https://github.com/simonw/llm/issues/65#issuecomment-1616742529_
            ",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/562/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1383646615,I_kwDOCGYnMM5SeMWX,491,Ability to merge databases and tables,8904453,open,0,,,7,2022-09-23T11:10:55Z,2023-06-14T22:14:24Z,,NONE,,"Hi! Let me firstly say that I am a big fan of your work -- I follow your tweets and blog posts with great interest 😄.

Now onto the matter at hand: I think it would be great if `sqlite-utils` included a `merge` or `combine` command, with the purpose of combining different SQLite databases into a single SQLite database. This way, the newly ""merged"" database would contain all differently named tables contained in the databases to be merged as-is, as well a concatenation of all tables of the same name.

This could look something like this:

```bash
sqlite-utils merge cats.db dogs.db > animals.db
```

I imagine this is rather straightforward if all databases involved in the merge contain differently named tables (i.e. no chance of conflicts), but things get slightly more complicated if two or more of the databases to be merged contain tables with the same name. Not only do you have to ""do something"" with the primary key(s), but these tables could also simply have different schemas (and therefore be incompatible for concatenation to begin with).

Anyhow, I would love your thoughts on this, and, if you are open to it, work together on the design and implementation!",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/491/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1733198948,I_kwDOCGYnMM5nToRk,555,Filter table by a large bunch of ids,10843208,open,0,,,1,2023-05-31T00:29:51Z,2023-06-14T22:01:57Z,,NONE,,"Hi! this might be a question related to both SQLite & sqlite-utils, and you might be more experienced with them.

I have a large bunch of ids, and I'm wondering which is the best way to query them in terms of performance, and simplicity if possible.

The naive approach would be something like `select * from table where rowid in (?, ?, ?...)` but that wouldn't scale if ids are >1k.

Another approach might be creating a temp table, or in-memory db table, insert all ids in that table and then join with the target one.

I failed to attach an in-memory db both using sqlite-utils, and plain sql's execute(), so my closest approach is something like,

```python
def filter_existing_video_ids(video_ids):
    db = get_db()  # contains a ""videos"" table
    db.execute(""CREATE TEMPORARY TABLE IF NOT EXISTS tmp (video_id TEXT NOT NULL PRIMARY KEY)"")
    db[""tmp""].insert_all([{""video_id"": video_id} for video_id in video_ids])
    for row in db[""tmp""].rows_where(""video_id not in (select video_id from videos)""):
        yield row[""video_id""]
    db[""tmp""].drop()
```

That kinda worked, I couldn't find an option in sqlite-utils's `create_table()` to tell it's a temporary table. Also, `tmp` table is not dropped finally, neither using `.drop()` despite being created with the keyword `TEMPORARY`. I believe it should be automatically dropped after connection/session ends though I read.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/555/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1740026046,I_kwDOCGYnMM5ntrC-,556,Support storing incrementally piped values,601708,open,0,,,1,2023-06-04T00:45:23Z,2023-06-04T01:21:15Z,,CONTRIBUTOR,,"I'm trying to use sqlite-utils to data generated incrementally. There are a few
aspects of this that I don't currently know how to handle. I would like an option
to apply writes incrementally, line-by-line as they are received. I would like an
option to echo incremental progress. And, it would be nice to have 

In particular, I'm using CoreLocationCLI -w -j to generate, newline-delimited JSON.

One variant of the command 

`stdbuf -oL CoreLocationCLI -w -j | pee 'sqlite-utils insert loc.db loc -' nl`

`pee`, from `moreutils`, is like `tee` but spawns and pipes to the processes
created by invoking each of its arguments, so, for gratuitous demonstration,
`pee 'sponge out.log' cat` would behave like `tee`.

It looks like I can get what I want with:
`stdbuf -oL CoreLocationCLI -w -j | while read line; do <<<""$line"" sqlite-utils insert loc.db loc -; echo ""$line""; done | nl`




",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/556/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1720096994,I_kwDOCGYnMM5mhpji,554,"`IndexError` when doing `.insert(..., pk='id')` after `insert_all`",1231935,open,0,,,1,2023-05-22T17:13:02Z,2023-05-22T17:18:33Z,,NONE,,"I believe this is related to https://github.com/simonw/sqlite-utils/issues/98.

When `pk` is specified by table A's `insert` call, it throws an index error if a different table has written a row with a higher rowid than exists in the first table. Here's a basic example:

```py
from sqlite_utils import Database


def test_pk_for_insert(fresh_db):
    user = {""id"": ""abc"", ""name"": ""david""}

    fresh_db[""users""].insert(user, pk=""id"")

    fresh_db[""comments""].insert_all(
        [
            {""id"": ""def"", ""text"": ""ok""},
            {""id"": ""ghi"", ""text"": ""great""},
        ],
    )

    fresh_db[""users""].insert(
        user,
        ignore=True,
        # BUG: when specifying pk on the second insert call 
        # db.py goes into a block it doesn't expect and we get the error
        pk=""id"",
    )


if __name__ == ""__main__"":
    db = Database(""bug.db"")
    if db[""users""].exists():
        raise ValueError(
            ""bug only shows on a new database - remove bug.db before running the script""
        )
    test_pk_for_insert(db)
```

The error is:

```py
  File ""/Users/david/projects/reddit-to-sqlite/.venv/lib/python3.11/site-packages/sqlite_utils/db.py"", line 2960, in insert_chunk
    row = list(self.rows_where(""rowid = ?"", [self.last_rowid]))[0]
          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^
IndexError: list index out of range
```

The issue is in this block: 

https://github.com/simonw/sqlite-utils/blob/2747257a3334d55e890b40ec58fada57ae8cfbfd/sqlite_utils/db.py#L2954-L2958

relevant locals are:

- `pk`: `'id'`
- `result.lastrowid`: `2`

What's most interesting is the comment `# self.last_rowid will be 0 if a ""INSERT OR IGNORE"" happened`, which doesn't seem to be the case here. ",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/554/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1124731464,I_kwDOCGYnMM5DCgpI,399,"Make it easier to insert geometries, with documentation and maybe code",9599,open,0,,,25,2022-02-05T00:11:26Z,2023-05-16T03:11:52Z,,OWNER,,"In playing with the new SpatiaLite helpers from #385 I noticed that actually populating geometry columns is still a little bit tricky. Here's what I ended up doing:

```python
import httpx, sqlite_utils
db = sqlite_utils.Database(""/tmp/spatial.db"")
attractions = httpx.get(""https://latest.datasette.io/fixtures/roadside_attractions.json?_shape=array"").json()
db[""attractions""].insert_all(attractions, pk=""pk"")

# Schema of that table is now:
# CREATE TABLE [attractions] (
#    [pk] INTEGER PRIMARY KEY,
#    [name] TEXT,
#    [address] TEXT,
#    [latitude] FLOAT,
#    [longitude] FLOAT
# )

db.init_spatialite()
db[""attractions""].add_geometry_column(""point"", ""POINT"")

db.execute(""""""
    update attractions set point = GeomFromText(
      'POINT(' || longitude || ' ' || latitude || ')', 4326
    )
"""""")
```
That last line took some figuring out - especially the need for the SRID of `4326`, without which I got this error:

> `IntegrityError: attractions.point violates Geometry constraint [geom-type or SRID not allowed]`

It would be good to both document this in more detail, but ideally also to come up with a more obvious pattern for inserting common types of spatial data.

Also related:
- #398
- #79",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/399/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1700936245,I_kwDOCGYnMM5lYjo1,542,Remove `skip_false=True` and `--no-skip-false` in `sqlite-utils` 4.0,9599,open,0,,9374594,1,2023-05-08T21:04:28Z,2023-05-08T21:07:41Z,,OWNER,,"Following:
- #527

The only reason I didn't remove fix this mis-feature entirely is that it represents a backwards incompatible change. I'll make that change in 4.0.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/542/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1595340692,I_kwDOCGYnMM5fFveU,530,"add ability to configure ""on delete"" and ""on update"" attributes of foreign keys:",536941,open,0,,,2,2023-02-22T15:44:14Z,2023-05-08T20:39:01Z,,CONTRIBUTOR,,"sqlite supports these, and it would be quite nice to be able to add them with sqlite-utils.

https://www.sqlite.org/foreignkeys.html#fk_actions",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/530/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1700840265,I_kwDOCGYnMM5lYMNJ,541,Get tests to pass with `pytest -Werror`,9599,open,0,,,1,2023-05-08T19:57:23Z,2023-05-08T19:59:35Z,,OWNER,,"Inspired by:
- #534",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/541/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1393202060,I_kwDOCGYnMM5TCpOM,496,devrel/python api: Pylance type hinting,7908073,open,0,,,4,2022-10-01T03:03:34Z,2023-05-03T05:53:27Z,,CONTRIBUTOR,,"Pylance is generally pretty good at figuring out stuff but `sqlite-utils` has some quirks which make type hinting kinda useless. Maybe you don't care but I thought I would bring it to your attention.

For example:

```
db[""subs""].insert_all(subs, pk=""index"")
```

```
Cannot access member ""insert_all"" for type ""View""
  Member ""insert_all"" is unknown
```

`insert_all` and all the other methods show up as a type issues because the program can't know whether something is a View or a Table. Fair enough. But that basically throws all type checking out the window.

`pk=""index""` also shows up as a type issue:

```
Argument of type ""Literal['index']"" cannot be assigned to parameter ""pk"" of type ""Default"" in function ""insert_all""
  ""Literal['index']"" is incompatible with ""Default""
```

I think this is because DEFAULT is an empty class? 

maybe a few small changes could be made to make the library more type-friendly

The interim solution is of course to turn off type hints completely for the line
```
db[""subs""].insert_all(subs, pk=""index"")  # type: ignore
```
",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/496/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
907795562,MDU6SXNzdWU5MDc3OTU1NjI=,265,Using enable_fts before search term,36287,open,0,,,1,2021-06-01T01:43:34Z,2023-04-01T17:27:18Z,,NONE,,"Many thanks for the sqlite-utils suite of utilities. Has made my life much much easier. 
I used this to create a table and enable FTS. All works fine. The datasette utility detects FTS and shows a text box. Searching for a term using that interface works well.

However, when I start to use features by following https://www.sqlite.org/fts5.html section **""3. Full-text Query Syntax""** I seem to run into issues that I suspect is due to `escape_fts` wrapper function.

As an example, if i search for the term `""^குகை"" `on the text box in datasette it produces 140 results. However, when i tweak the query produced by datasette to not use ""escape_fts"" it produces 5 results.

Similarly, when I try to restrict the search to a single column in FTS using a spec like `{title : ^குகை}` it returns no rows. The same thing pulls results when used without `escape_fts`. The text in the table is in Tamil language and the search term is a Tamil word.

```
   ...
    where
      posts_fts match escape_fts(:search)
```
vs

```
    ...
    where
      posts_fts match (:search)
```

Any ideas why? How can I get the benefits of both escaping as well as utilizing different facets of providing / controlling search terms? Thanks.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/265/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
702386948,MDU6SXNzdWU3MDIzODY5NDg=,159,.delete_where() does not auto-commit (unlike .insert() or .upsert()),11712349,open,0,,,9,2020-09-16T01:55:52Z,2023-04-01T17:21:05Z,,NONE,,"When you use the delete_where() function on a table, it never commits....

Is that intentional?",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/159/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1560651350,I_kwDOCGYnMM5dBaZW,523,Feature request: trim all leading and trailing white space for all columns for all tables in a database,536941,open,0,,,1,2023-01-28T02:40:10Z,2023-01-28T02:41:14Z,,CONTRIBUTOR,,"It's pretty common that i need to trim leading or trailing white space from lots of columns in a database a part of an initial ETL.

I use the following recipe a lot, and it would be great to include this functionality into sqlite-utils

`trimify.sql`
```sql
select 'select group_concat(''update [' || name || '] set ['' || name || ''] = trim(['' || name || ''])'', '';
'') || '';
'' as sql_to_run from pragma_table_info('''||name||''');' from sqlite_schema;
```

then something like:

```bash
	sqlite3 example.db < scripts/trimify.sql > table_trim.sql && \
             sqlite3 $example.db < table_trim.sql > trim.sql && \
             sqlite3 $example.db < trim.sql
```",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/523/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1550536442,I_kwDOCGYnMM5ca076,521,Custom JSON encoder,31504,open,0,,,0,2023-01-20T09:19:40Z,2023-01-20T09:19:40Z,,NONE,,"It would be nice if we could specify a custom encoder (and decoder) for types that will need extra deserialisation – e.g., sets, enums or sparse matrices – or even project-specific types",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/521/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1373224657,I_kwDOCGYnMM5R2b7R,488,`sqlite-utils transform` should set empty strings to null when converting text columns to integer/float,9599,open,0,,,5,2022-09-14T15:51:30Z,2022-12-23T17:38:55Z,,OWNER,,"```
/tmp % echo ""id,age,weight\n1,3,2.5\n2,,"" | sqlite-utils insert test.db test - --csv
/tmp % sqlite-utils schema test.db                                                  
CREATE TABLE [test] (
   [id] TEXT,
   [age] TEXT,
   [weight] TEXT
);
/tmp % sqlite-utils transform test.db test --type age integer --type weight float   
/tmp % sqlite-utils schema test.db                                               
CREATE TABLE ""test"" (
   [id] TEXT,
   [age] INTEGER,
   [weight] FLOAT
);
/tmp % sqlite-utils rows test.db test
[{""id"": ""1"", ""age"": 3, ""weight"": 2.5},
 {""id"": ""2"", ""age"": """", ""weight"": """"}]
```
It would be neat if this resulted in the following instead:
```
 {""id"": ""2"", ""age"": null, ""weight"": null}
```
Related Discord discussion: https://discord.com/channels/823971286308356157/823971286941302908/1019635490833567794",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/488/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1479914599,I_kwDOCGYnMM5YNbRn,516,Feature request: output number of ignored/replaced rows for insert command,9599,open,0,,,4,2022-12-06T18:59:21Z,2022-12-06T19:08:14Z,,OWNER,,"https://hachyderm.io/@briandorsey/109468185742876820

> I'm fiddling with piping json to `insert -ignore`  I'd love to see the count of records inserted & ignored, but didn't see a way to do that in the help/docs.
>
> Example: `xh ""https://hachyderm.io/api/v1/timelines/tag/rust?max_id=109443380308326328"" | sqlite-utils insert aoc.db aoc - --pk=id --ignore`",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/516/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1453134846,I_kwDOCGYnMM5WnRP-,513,Add or document streamlined workflow for importing Datasette csv / json exports,19328961,open,0,,,0,2022-11-17T10:54:47Z,2022-11-17T10:54:47Z,,NONE,,"I'm working on some small front-end enhancements to the laion-aesthetic-datasette project, and I wanted to partially populate a database directly using exports from the existing Datasette instance instead of downloading the parquet files and creating my own multi-GB database.

There have been a number of small issues that are certainly related to my relative lack of familiarity with the toolkit, but that are still surprising. 

For example: a CSV export of the images table (http://laion-aesthetic.datasette.io/laion-aesthetic-6pls.csv?sql=select+rowid%2C+url%2C+text%2C+domain_id%2C+width%2C+height%2C+similarity%2C+punsafe%2C+pwatermark%2C+aesthetic%2C+hash%2C+__index_level_0__+from+images+order+by+random%28%29+limit+100) has nested single quotes, double quotes, and commas that aren't handled by rows_from_file. Similarly, the json output has to be manually transformed to add the column names and remove extraneous information before sqlite_utils can import it.

I was able to work through these issues, but as an enhancement it would be really helpful to create or document a clear workflow that avoids the friction of this data transformation.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/513/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1386562662,I_kwDOCGYnMM5SpURm,493,Tiny typographical error in install/uninstall docs,9599,open,0,,,3,2022-09-26T19:00:42Z,2022-10-25T21:31:15Z,,OWNER,,"Added in:
- #483

I don't know how to fix this in Sphinx: I'm getting this: https://sqlite-utils.datasette.io/en/latest/cli.html#cli-install

> The [insert –convert](https://sqlite-utils.datasette.io/en/latest/cli.html#cli-insert-convert) and [query –functions](https://sqlite-utils.datasette.io/en/latest/cli.html#cli-query-functions) options

<img width=""849"" alt=""image"" src=""https://user-images.githubusercontent.com/9599/192358225-4fae509e-9fa8-4e8d-91d4-48aa1b79225e.png"">

But I want it to display `insert --convert` and not `insert –convert` there.

Here's the code: https://github.com/simonw/sqlite-utils/blob/85247038f70d7eb2f3e272cfeaa4c44459cafba8/docs/cli.rst#L2125",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/493/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1149661489,I_kwDOCGYnMM5EhnEx,409,`with db:` for transactions,9599,open,0,,,3,2022-02-24T19:22:06Z,2022-10-01T03:42:50Z,,OWNER,,This can be a documented wrapper around `with db.conn:`.,140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/409/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1386530156,I_kwDOCGYnMM5SpMVs,492,Idea: ability to pass extra variables to `--convert` scripts,9599,open,0,,,1,2022-09-26T18:30:45Z,2022-09-26T18:33:19Z,,OWNER,,"Got this idea from this example in https://jeqo.github.io/notes/2022-09-24-ingest-logs-sqlite/

```bash
sqlite-utils insert /tmp/kafka-logs.db logs server.log.2022-09-24-21 --text --convert ""
import re
r = re.compile(r'^\[(?P<datetime>\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2},\d{3})\] (?P<level>\w+) (?P<log>(.+(\n(?\!\[).+|)+))', re.MULTILINE)
def convert(text):
    rows = [m.groupdict() for m in r.finditer(text)]
    for row in rows:
        row.update({'server': 'localhost'})
        row.update({'component': 'broker'})
    return rows
""
```
And the accompanying note:

> The `row.update` allows to label rows as I’m planning to ingest logs from different hosts and potentially different components.

This made me think: it might be neat if you could inject additional variable values into that script with extra command-line options, to make this kind of reuse easier. Something like this:

```bash
sqlite-utils insert /tmp/kafka-logs.db logs server.log.2022-09-24-21 --text --convert ""
import re
r = re.compile(r'^\[(?P<datetime>\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2},\d{3})\] (?P<level>\w+) (?P<log>(.+(\n(?\!\[).+|)+))', re.MULTILINE)
def convert(text):
    rows = [m.groupdict() for m in r.finditer(text)]
    for row in rows:
        row.update({'server': server})
        row.update({'component': component})
    return rows
"" --var server ""localhost"" --var component ""broker""
```",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/492/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1082651698,I_kwDOCGYnMM5Ah_Qy,358,Support for CHECK constraints,11597658,open,0,,,7,2021-12-16T21:19:45Z,2022-09-25T07:15:59Z,,NONE,,"Hi,

I noticed the `transform.table()` method doesn't have an option to add/change or drop a check constraint (see https://sqlite.org/lang_createtable.html -> 3.7 Check Constraints. would be great to have this as an option! 
",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/358/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1374939463,I_kwDOCGYnMM5R8-lH,489,Ability to load JSON records held in a file with a single top level key that is a list of objects,9599,open,0,,,9,2022-09-15T18:46:03Z,2022-09-15T20:56:10Z,,OWNER,,"It's very common for JSON to look like this:
```json
{
  ""Version"": ""5.5.52.6"",
  ""List"": [
    {
      ""Description"": ""Nonpartisan"",
      ""Id"": 1,
      ""ExternalId"": """"
    },
    {
      ""Description"": ""Undeclared"",
      ""Id"": 2,
      ""ExternalId"": """"
    }
  ]
}
```
This example taken from the records downloaded from https://www.elections.alaska.gov/election-results/e/

Right now you can't import this into `sqlite-utils` - you need to run it through `jq .List` first.

But since this is so common, it would be neat if `sqlite-utils` could have a rule of thumb that says ""if it's an object, but it has a single key that is is a list of objects, use that instead"".",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/489/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1128466114,I_kwDOCGYnMM5DQwbC,406,Creating tables with custom datatypes,82988,open,0,,,5,2022-02-09T12:16:31Z,2022-09-15T18:13:50Z,,NONE,,"Via https://stackoverflow.com/a/18622264/454773 I note the ability to register custom handlers for novel datatypes that can map into and out of things like sqlite `BLOB`s.

From a quick look and a quick play, I didn't spot a way to do this in `sqlite_utils`?

For example:

```python
# Via https://stackoverflow.com/a/18622264/454773
import sqlite3
import numpy as np
import io

def adapt_array(arr):
    """"""
    http://stackoverflow.com/a/31312102/190597 (SoulNibbler)
    """"""
    out = io.BytesIO()
    np.save(out, arr)
    out.seek(0)
    return sqlite3.Binary(out.read())

def convert_array(text):
    out = io.BytesIO(text)
    out.seek(0)
    return np.load(out)


# Converts np.array to TEXT when inserting
sqlite3.register_adapter(np.ndarray, adapt_array)

# Converts TEXT to np.array when selecting
sqlite3.register_converter(""array"", convert_array)
```

```python
from sqlite_utils import Database
db = Database('test.db')

# Reset the database connection to used the parsed datatype
# sqlite_utils doesn't seem to support eg:
#  Database('test.db', detect_types=sqlite3.PARSE_DECLTYPES)
db.conn = sqlite3.connect(db_name, detect_types=sqlite3.PARSE_DECLTYPES)

# Create a table the old fashioned way
# but using the new custom data type
vector_table_create = """"""
CREATE TABLE dummy 
    (title TEXT, vector array );
""""""

cur = db.conn.cursor()
cur.execute(vector_table_create)


# sqlite_utils doesn't appear to support custom types (yet?!)
# The following errors on the ""array"" datatype
""""""
db[""dummy""].create({
    ""title"": str,
    ""vector"": ""array"",
})
""""""
```

We can then add / retrieve records from the database where the datatype of the `vector` field is a custom registered `array` type (which is to say, a `numpy` array):

```python
import numpy as np

db[""dummy""].insert({'title':""test1"", 'vector':np.array([1,2,3])})

for row in db.query(""SELECT * FROM dummy""):
    print(row['title'], row['vector'], type(row['vector']))

""""""
test1 [1 2 3] <class 'numpy.ndarray'>
""""""
```

It would be handy to be able to do this idiomatically in `sqlite_utils`.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/406/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1363766973,I_kwDOCGYnMM5RSW69,484,Expose convert recipes to `sqlite-utils --functions`,9599,open,0,,,11,2022-09-06T20:15:08Z,2022-09-07T19:09:52Z,,OWNER,,"`--functions` was added in:
- #471 

It would be useful if the `r.jsonsplit()` and similar recipes for `sqlite-utils convert` could be used in these blocks of code too: https://sqlite-utils.datasette.io/en/stable/cli.html#sqlite-utils-convert-recipes",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/484/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
816526538,MDU6SXNzdWU4MTY1MjY1Mzg=,239,sqlite-utils extract could handle nested objects,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:

    {""email"": ""anonymous@noreply.airtable.com"", ""id"": ""usrROSHARE0000000"", ""name"": ""Anonymous""}

The `sqlite-utils extract` command already uses single text values in a column to populate a new table. It would not be much of a stretch for it to be able to use JSON instead, including specifying which of those values should be used as the primary key in the new table.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/239/reactions"", ""total_count"": 6, ""+1"": 5, ""-1"": 0, ""laugh"": 0, ""hooray"": 1, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1359604075,I_kwDOCGYnMM5RCelr,481,"Idea: `sqlite-utils create-table tablename --sql ""select ...""`",9599,open,0,,,0,2022-09-02T01:41:24Z,2022-09-02T01:42:08Z,,OWNER,,"Could offer syntactic sugar for:

```sql
create table foo as select * from bar
```

```
sqlite-utils create-table data.db foo --sql ""select * from bar""
```
https://sqlite-utils.datasette.io/en/stable/cli-reference.html#create-table",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/481/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1353074021,I_kwDOCGYnMM5QpkVl,474,Add an option for specifying column names when inserting CSV data,14294,open,0,,,3,2022-08-27T15:29:59Z,2022-08-31T03:42:36Z,,NONE,,"https://sqlite-utils.datasette.io/en/stable/cli.html#csv-files-without-a-header-row

> The first row of any CSV or TSV file is expected to contain the names of the columns in that file.

> If your file does not include this row, you can use the `--no-headers` option to specify that the tool should not use that fist row as headers.

> If you do this, the table will be created with column names called `untitled_1` and `untitled_2` and so on. You can then rename them using the `sqlite-utils transform ... --rename` command.

It would be nice to be able to specify the column names when importing CSV/TSV without a header row, via an extra command line option.

(renaming a column of a large table can take a long time, which makes it an inconvenient workaround)",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/474/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1355193529,I_kwDOCGYnMM5Qxpy5,479,OperationalError: cannot VACUUM from within a transaction,7908073,open,0,,,0,2022-08-30T05:34:24Z,2022-08-30T05:34:24Z,,CONTRIBUTOR,,"Maybe when calling `.vacuum()` and other DB-level write-lock operations `sqlite_utils` could guard against this error message by automatically committing first?

```
     46 db[""media""].optimize()  # type: ignore
---> 47 db.vacuum()

File ~/.local/lib/python3.10/site-packages/sqlite_utils/db.py:1047, in Database.vacuum(self)
   1045 def vacuum(self):
   1046     ""Run a SQLite ``VACUUM`` against the database.""
-> 1047     self.execute(""VACUUM;"")

File ~/.local/lib/python3.10/site-packages/sqlite_utils/db.py:470, in Database.execute(self, sql, parameters)
    468     return self.conn.execute(sql, parameters)
    469 else:
--> 470     return self.conn.execute(sql)

OperationalError: cannot VACUUM from within a transaction
```

It might also be nice to add a sentence or two about how transactions are committed on the [docs page](https://sqlite-utils.datasette.io/en/latest/python-api.html#detect-fts). When I was swapping out my sqlite3 code for this library it was nice that everything was pretty much drop-in but I was/am unsure what to do about the places I explicitly call `.commit()` in my code

Related to https://github.com/simonw/sqlite-utils/issues/121",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/479/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1353481513,I_kwDOCGYnMM5QrH0p,478,`sqlite-utils tables data.db table1 table2`,9599,open,0,,,1,2022-08-28T22:05:53Z,2022-08-28T22:22:35Z,,OWNER,,"The `sqlite-utils tables` command currently lists all tables.

If you have a huge table in there then running it with `--counts` can get expensive, because of the huge table.

Would be useful if it could accept an optional list of tables that it should execute against, as an alternative to the default of all of them.

This should be a backwards compatible change. Current design is:  https://sqlite-utils.datasette.io/en/stable/cli-reference.html#tables

```
Usage: sqlite-utils tables [OPTIONS] PATH

  List the tables in the database

  Example:

      sqlite-utils tables trees.db
```",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/478/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1326349129,I_kwDOCGYnMM5PDntJ,461,Consider including animated SVG console demos,9599,open,0,,,1,2022-08-02T20:10:04Z,2022-08-02T20:12:14Z,,OWNER,,"I recorded this one using https://github.com/nbedos/termtosvg - with `pipx install termtosvg` and then `termtosvg` - execute demo - `exit` to save.

![sqlite-utils-insert-json](https://user-images.githubusercontent.com/9599/182464206-f4976af4-eda8-4020-8257-4ada1867fb44.svg)

```json
[
  {
    ""id"": 1,
    ""name"": ""Catimus""
  },
  {
    ""id"": 2,
    ""name"": ""Feliopia""
  }
]
```",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/461/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1324659241,I_kwDOCGYnMM5O9LIp,459,Single quoted transform recipes on Windows do not work as expected ,19921,open,0,,,0,2022-08-01T16:14:54Z,2022-08-01T16:14:54Z,,CONTRIBUTOR,,"Trying to follow the tutorial for sqlite-utils and datasette https://datasette.io/tutorials/clean-data on Windows 11 OS `Microsoft Windows [Version 10.0.22622.440]`, with sqlite-utils and datasette installed using pipx.

```
pipx list
package datasette 0.61.1, installed using Python 3.10.4
    - datasette.exe
package sqlite-utils 3.28, installed using Python 3.10.4
    - sqlite-utils.exe
```  

In the step to transform dates into ISO dates the quoted value `'r.parsedatetime(value)'` is copied verbatim into the columns instead of applying the output of the Python recipe.

```
sqlite-utils convert manatees.db locations \
  REPDATE created_date last_edited_date \
  'r.parsedatetime(value)' --dry-run

1975/01/31 00:00:00+00
 --- becomes:
r.parsedatetime(value)

Would affect 13568 rows
```

However, if I change the code from single quotes to double quotes, it works as expected.

```
sqlite-utils convert manatees.db locations \
  REPDATE created_date last_edited_date \
  ""r.parsedatetime(value)"" --dry-run

1975/01/31 00:00:00+00
 --- becomes:
1975-01-31T00:00:00+00:00

Would affect 13568 rows
```

Specifying the transform code recipe should work with single quotes on Windows.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/459/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1310243385,I_kwDOCGYnMM5OGLo5,456,feature request: pivot command,536941,open,0,,,5,2022-07-20T00:58:08Z,2022-07-20T17:50:50Z,,CONTRIBUTOR,,pivoting long-format table to wide-format tables is pretty common and kind of pain. would love to see this feature in sqlite-utils!,140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/456/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1271426387,I_kwDOCGYnMM5LyG1T,444,CSV `extras_key=` and `ignore_extras=` equivalents for CLI tool,9599,open,0,,,5,2022-06-14T22:22:47Z,2022-07-07T16:39:18Z,,OWNER,,"> I forgot to add equivalents of `extras_key=` and `ignore_extras=` to the CLI tool - will do that in a separate issue.

_Originally posted by @simonw in https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1155767915_",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/444/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
455486286,MDU6SXNzdWU0NTU0ODYyODY=,26,Mechanism for turning nested JSON into foreign keys / many-to-many,9599,open,0,,,14,2019-06-13T00:52:06Z,2022-06-29T23:35:29Z,,OWNER,,"The GitHub JSON APIs have a really interesting convention with respect to related objects.

Consider https://api.github.com/repos/simonw/sqlite-utils/issues - here's a truncated subset:
```json
  {
    ""id"": 449818897,
    ""node_id"": ""MDU6SXNzdWU0NDk4MTg4OTc="",
    ""number"": 24,
    ""title"": ""Additional Column Constraints?"",
    ""user"": {
      ""login"": ""IgnoredAmbience"",
      ""id"": 98555,
      ""node_id"": ""MDQ6VXNlcjk4NTU1"",
      ""avatar_url"": ""https://avatars0.githubusercontent.com/u/98555?v=4"",
      ""gravatar_id"": """"
    },
    ""labels"": [
      {
        ""id"": 993377884,
        ""node_id"": ""MDU6TGFiZWw5OTMzNzc4ODQ="",
        ""url"": ""https://api.github.com/repos/simonw/sqlite-utils/labels/enhancement"",
        ""name"": ""enhancement"",
        ""color"": ""a2eeef"",
        ""default"": true
      }
    ],
    ""state"": ""open""
  }
```
The `user` column lists a complete user. The `labels` column has a list of labels.

Since both user and label have populated `id` field this is actually enough information for us to create records for them AND set up the corresponding foreign key (for user) and m2m relationships (for labels).

It would be really neat if `sqlite-utils` had some kind of mechanism for correctly processing these kind of patterns.

Thanks to `jq` there's not much need for extra customization of the shape here - if we support a narrowly defined structure users can use `jq` to reshape arbitrary JSON to match.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/26/reactions"", ""total_count"": 4, ""+1"": 4, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1227571375,I_kwDOCGYnMM5JK0Cv,431,Allow making m2m relation of a table to itself,738408,open,0,,,3,2022-05-06T08:30:43Z,2022-06-23T14:12:51Z,,NONE,,"I am building a database, in which one of the tables has a many-to-many relationship to itself. As far as I can see, this is not (yet) possible using `.m2m()` in sqlite-utils. This may be a bit of a niche use case, so feel free to close this issue if you feel it would introduce too much complexity compared to the benefits.

Example: suppose I have a table of people, and I want to store the information that John and Mary have two children, Michael and Suzy. It would be neat if I could do something like this:

```python
from sqlite_utils import Database

db = Database(memory=True)
db[""people""].insert({""name"": ""John""}, pk=""name"").m2m(
    ""people"", [{""name"": ""Michael""}, {""name"": ""Suzy""}], m2m_table=""parent_child"", pk=""name""
)
db[""people""].insert({""name"": ""Mary""}, pk=""name"").m2m(
    ""people"", [{""name"": ""Michael""}, {""name"": ""Suzy""}], m2m_table=""parent_child"", pk=""name""
)
```

But if I do that, the many-to-many table `parent_child` has only one column:
```
CREATE TABLE [parent_child] (
   [people_id] TEXT REFERENCES [people]([name]),
   PRIMARY KEY ([people_id], [people_id])
)
```

This could be solved by adding one or two keyword_arguments to `.m2m()`, e.g. `.m2m(..., left_name=None, right_name=None)` or `.m2m(..., names=(None, None))`.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/431/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1250495688,I_kwDOCGYnMM5KiQzI,439,Misleading progress bar against utf-16-le CSV input,4068,open,0,,,12,2022-05-27T08:34:49Z,2022-06-15T03:53:43Z,,NONE,,"The program crashes without any error.
```
wget ""https://artsdatabanken.no/Fab2018/api/export/csv""
sqlite-utils create-database test.db
sqlite-utils insert --csv --delimiter "";"" --encoding ""utf-16-le"" test test.db csv 
  [------------------------------------]    0%
  [#################-------------------]   49%  00:00:01
```
I would like to highlight various issues:
1. sqlite-utils catches exceptions without printing the stacktrace and/or reraising the exception, so there is no easy way to use `pdb` or similar to debug the program, solution: add a debug option
2. Silent crash: this is related to (1.), and it happens when there is a catch-all mechanism; solution: let the program fail.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/439/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1224112817,I_kwDOCGYnMM5I9nqx,430,Document how to use `PRAGMA temp_store` to avoid errors when running VACUUM against huge databases,9308268,open,0,,,2,2022-05-03T13:33:58Z,2022-06-14T23:26:37Z,,NONE,,"I'm trying to figure out a way to get the `table.extract()` method to complete successfully -- I'm not sure if maybe the cause (and a possible solution) of this on Ubuntu Server 22.04 is to adjust some of the PRAGMA values within SQLite itself ... on another Linux system (PopOS), using this method on this same database appears to work just fine.

Here's the bit that's causing the error, and the resulting error output:
```python
# combine these columns into 1 table ""bib_properties"" :
# best_title
# bib_level_code
# mat_type
# material_code
# best_author
db[""circ_trans""].extract(
    [""best_title"", ""bib_level_code"", ""mat_type"", ""material_code"", ""best_author""], 
    table=""bib_properties"", 
    fk_column=""bib_properties_id""
)

db[""circ_trans""].extract(
    [""call_number""], 
    table=""call_number"", 
    fk_column=""call_number_id"",
    rename={""call_number"": ""value""}
)
```

```python
---------------------------------------------------------------------------
OperationalError                          Traceback (most recent call last)
Input In [17], in <cell line: 7>()
      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}",,
1236693079,I_kwDOCGYnMM5JtnBX,432,"Support `rows_where()`, `delete_where()` etc for attached alias databases",11597658,open,0,,,5,2022-05-16T06:38:58Z,2022-06-14T22:16:48Z,,NONE,,"Hi,

I noticed `rows_where()` doesn't return any rows from tables which are from attached databases. The `exists()` function returns false. As far as I can see this is because the `table_names()` function only looks for table names in the current database and not in attached (or temp) databases.

Besides, `rows_where()`, also `insert_all()` and `delete_where()` didn't do what I was expecting because of this. For the moment I've patched `table_names()` for myself, see below but I'm not sure what the total impact is on the other functions like lookup truncate etc which all use `exists()`. Also `view_names()` doesn't look for views in attached or temp databases. 
```python
 def table_names(self, fts4: bool = False, fts5: bool = False) -> List[str]:
        ""A list of string table names in this database.""
        where = [""type = 'table'""]
        if fts4:
            where.append(""sql like '%USING FTS4%'"")
        if fts5:
            where.append(""sql like '%USING FTS5%'"")
        dbs = [x[1] for x in self.execute('pragma database_list').fetchall()]    
        lst=[]
        for db in dbs:    
            sql = ""select name from {} where {}"".format(db+"".sqlite_master"","" AND "".join(where))
            lst.extend(r[0] for r in self.execute(sql).fetchall())
        return lst
```",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/432/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1160182768,I_kwDOCGYnMM5FJvvw,412,Optional Pandas integration,9599,open,0,,,13,2022-03-05T01:49:27Z,2022-06-14T15:36:29Z,,OWNER,,"It would be neat if there was a way to use this more seamlessly with Pandas, in particular Pandas dataframes - but without making Pandas a required dependency.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/412/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1215216249,I_kwDOCGYnMM5Ibrp5,428,Research adding support for savepoints,9599,open,0,,,1,2022-04-26T01:04:01Z,2022-04-26T01:05:29Z,,OWNER,,"https://www.sqlite.org/lang_savepoint.html

Savepoints are like regular transactions except they have names and can be nested.

Would there be any value in adding support to them to `sqlite-utils`, potentially as some kind of context manager? Something like this:
```python
with db.savepoint(""name""):
    # do stuff
    with db.savepoint(""name2""):
        # do more stuff
        raise Release # Rolls back to before ""name2"" savepoint
```
I've never used this feature so I'm not comfortable adding anything like this without a bunch of extra research.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/428/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1181236173,I_kwDOCGYnMM5GaDvN,422,Reconsider not running convert functions against null values,9599,open,0,,,1,2022-03-25T20:22:40Z,2022-03-25T20:23:21Z,,OWNER,,"I just got caught out by the fact that `None` values are not processed by the `.convert()` mechanism https://github.com/simonw/sqlite-utils/blob/0b7b80bd40fe86e4d66a04c9f607d94991c45c0b/sqlite_utils/db.py#L2504-L2510

I had run this code while working on #420 and I wasn't sure why it didn't work:

```
$ sqlite-utils add-column content.db articles score float
$ sqlite-utils convert content.db articles score '
import random
random.seed(10)

def convert(value):
    global random
    return random.random()
'
```
The reason it didn't work is that the newly added `score` column was full of `null` values.

I fixed it by doing this instead:

    $ sqlite-utils add-column content.db articles score float --not-null-default 1.0

But this indicates to me that the design of `convert()` here may be incorrect.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/422/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
688351054,MDU6SXNzdWU2ODgzNTEwNTQ=,140,Idea: insert-files mechanism for adding extra columns with fixed values,9599,open,0,,,1,2020-08-28T20:57:36Z,2022-03-20T19:45:45Z,,OWNER,,"Say for example you want to populate a `file_type` column with the value `gif`. That could work like this:

```
sqlite-utils insert-files gifs.db images *.gif \
    -c path -c md5 -c last_modified:mtime \
    -c file_type:text:gif --pk=path
```
So a column defined as a `text` column with a value that follows a second colon.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/140/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
675753042,MDU6SXNzdWU2NzU3NTMwNDI=,131,sqlite-utils insert: options for column types,9599,open,0,,,5,2020-08-09T18:59:11Z,2022-03-15T13:21:42Z,,OWNER,,"The `insert` command currently results in string types for every column - at least when used against CSV or TSV inputs.

It would be useful if you could do the following:

- automatically detects the column types based on eg the first 1000 records
- explicitly state the rule for specific columns

`--detect-types` could work for the former - or it could do that by default and allow opt-out using `--no-detect-types`

For specific columns maybe this:

    sqlite-utils insert db.db images images.tsv \
      --tsv \
      -c id int \
      -c score float",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/131/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1160034488,I_kwDOCGYnMM5FJLi4,411,Support for generated columns,25778,open,0,,,8,2022-03-04T20:41:33Z,2022-03-11T22:32:43Z,,CONTRIBUTOR,,"This is a fairly new feature -- SQLite version 3.31.0 (2020-01-22) -- that I, admittedly, haven't gotten to work yet. But it looks _incredibly_ useful: https://dgl.cx/2020/06/sqlite-json-support

I'm not sure if this is an option on `add-column` or a separate command like `add-generated-column`. Either way, it needs an argument to populate it. It could be something like this:

```sh
sqlite-utils add-column data.db table-name generated --as 'json_extract(data, ""$.field"")' --virtual
```

More here: https://www.sqlite.org/gencol.html",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/411/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1125297737,I_kwDOCGYnMM5DEq5J,402,Advanced class-based `conversions=` mechanism,9599,open,0,,,14,2022-02-06T19:47:41Z,2022-02-16T10:18:55Z,,OWNER,,"The `conversions=` parameter works like this at the moment: https://sqlite-utils.datasette.io/en/3.23/python-api.html#converting-column-values-using-sql-functions

```python
db[""places""].insert(
    {""name"": ""Wales"", ""geometry"": wkt},
    conversions={""geometry"": ""GeomFromText(?, 4326)""},
)
```
This proposal is to support values in that dictionary that are objects, not strings, which can represent more complex conversions - spun out from #399.

New proposed mechanism:
```python
from sqlite_utils.utils import LongitudeLatitude

db[""places""].insert(
    {
        ""name"": ""London"",
        ""point"": (-0.118092, 51.509865)
    },
    conversions={""point"": LongitudeLatitude},
)
```
Here `LongitudeLatitude` is a magical value which does TWO things: it sets up the `GeomFromText(?, 4326)` SQL function, and it handles converting the `(51.509865, -0.118092)` tuple into a `POINT({} {})` string.

This would involve a change to the `conversions=` contract - where it usually expects a SQL string fragment, but it can also take an object which combines that SQL string fragment with a Python conversion function.

Best of all... this resolves the `lat, lon` v.s. `lon, lat` dilemma because you can use `from sqlite_utils.utils import LongitudeLatitude` OR `from sqlite_utils.utils import LatitudeLongitude` depending on which you prefer!

_Originally posted by @simonw in https://github.com/simonw/sqlite-utils/issues/399#issuecomment-1030739566_",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/402/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1072792507,I_kwDOCGYnMM4_8YO7,352,`sqlite-utils insert --extract colname`,9599,open,0,,,4,2021-12-07T00:55:44Z,2022-02-03T22:59:36Z,,OWNER,,"Is there a reason I've not added `--extract` as an option for `sqlite-utils insert` next? There's a `extracts=` option for the various `table.insert()` etc methods - last line in this code block:

https://github.com/simonw/sqlite-utils/blob/213a0ff177f23a35f3b235386366ff132eb879f1/sqlite_utils/db.py#L2483-L2495",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/352/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1122446693,I_kwDOCGYnMM5C5y1l,394,Test against Python 3.11-dev,9599,open,0,,,1,2022-02-02T22:21:03Z,2022-02-03T21:06:35Z,,OWNER,,"Same as:
- https://github.com/simonw/datasette/issues/1621",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/394/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1090798237,I_kwDOCGYnMM5BBEKd,359,Use RETURNING if available to populate last_pk,9599,open,0,,,0,2021-12-29T23:43:23Z,2021-12-29T23:43:23Z,,OWNER,,"Inspired by this: https://news.ycombinator.com/item?id=29729283

> Because SQLite is effectively serializing all the writes for us, we have zero locking in our code. We used to have to lock when inserting new items (to get the LastInsertRowId), but the newer version of SQLite supports the RETURNING keyword, so we don't even have to lock on inserts now.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/359/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
706001517,MDU6SXNzdWU3MDYwMDE1MTc=,163,Idea: conversions= could take Python functions,9599,open,0,,,4,2020-09-22T00:37:12Z,2021-12-20T00:56:52Z,,OWNER,,"Right now you use `conversions=` like this:

```python
db[""example""].insert({
    ""name"": ""The Bigfoot Discovery Museum""
}, conversions={""name"": ""upper(?)""})
```
How about if you could optionally provide a Python function (or a lambda) like this?
```python
db[""example""].insert({
    ""name"": ""The Bigfoot Discovery Museum""
}, conversions={""name"": lambda s: s.upper()})
```
This would work by creating a random name for that function, registering it (similar to #162), executing the SQL and then un-registering the custom function at the end.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/163/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1071531082,I_kwDOCGYnMM4_3kRK,349,A way of creating indexes on newly created tables,9599,open,0,,,3,2021-12-05T18:56:12Z,2021-12-07T01:04:37Z,,OWNER,,"I'm writing code for https://github.com/simonw/git-history/issues/33 that creates a table inside a loop:

```python
item_pk = db[item_table].lookup(
    {""_item_id"": item_id},
    item_to_insert,
    column_order=(""_id"", ""_item_id""),
    pk=""_id"",
)
```
I need to look things up by `_item_id` on this table, which means I need an index on that column (the table can get very big).

But there's no mechanism in SQLite utils to detect if the table was created for the first time and add an index to it. And I don't want to run `CREATE INDEX IF NOT EXISTS` every time through the loop.

This should work like the `foreign_keys=` mechanism.
",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/349/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1072435124,I_kwDOCGYnMM4_7A-0,350,Optional caching mechanism for table.lookup(),9599,open,0,,,3,2021-12-06T17:54:25Z,2021-12-06T17:56:57Z,,OWNER,,"Inspired by work on `git-history` where I used this pattern:
```python
    column_name_to_id = {}

    def column_id(column):
        if column not in column_name_to_id:
            id = db[""columns""].lookup(
                {""namespace"": namespace_id, ""name"": column},
                foreign_keys=((""namespace"", ""namespaces"", ""id""),),
            )
            column_name_to_id[column] = id
        return column_name_to_id[column]
```
If you're going to be doing a large number of `table.lookup(...)` calls and you know that no other script will be modifying the database at the same time you can presumably get a big speedup using a Python in-memory cache - maybe even a LRU one to avoid memory bloat.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/350/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1066563554,I_kwDOCGYnMM4_knfi,346,Way to test SQLite 3.37 (and potentially other versions) in CI,9599,open,0,,,5,2021-11-29T22:21:06Z,2021-11-29T23:12:49Z,,OWNER,,"> Need to figure out a good pattern for testing this in CI too - it will currently skip the new tests if it doesn't have SQLite 3.37 or higher.

_Originally posted by @simonw in https://github.com/simonw/sqlite-utils/issues/344#issuecomment-982076924_",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/346/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
836829560,MDU6SXNzdWU4MzY4Mjk1NjA=,248,support for Apache Arrow / parquet files I/O,649467,open,0,,,1,2021-03-20T14:59:30Z,2021-10-28T23:46:48Z,,NONE,,"I just started looking at Apache Arrow using pyarrow for import and export of tabular datasets, and it looks quite compelling. It might be worth looking at for sqlite-utils and/or datasette.

As a test, I took a random jsonl data dump of a dataset I have with floats, strings, and ints and converted it to arrow's parquet format using the naive `pyarrow.parquet.write_file()` command, which has automatic type inferrence. It compressed down to 7% of the original size. Conversion of a 26MB JSON file and serializing it to parquet was eyeblink instantaneous. Parquet files are portable and can be directly imported into pandas and other analytics software. 

The only hangup is the automatic type inference of the naive reader. It's great for general laziness and for parsing JSON columns (it correctly interpreted a table of mine with a JSON array). However, I did get an exception for a string column where most entries looked integer-like but had a couple values that weren't -- the reader tried to coerce all of them for some reason, even though the JSON type is string. Since the writer optionally takes a schema, it shouldn't be too hard to grab the sqlite header types. With some additional hinting, you might get datetime columns and JSON, which are native Arrow types. 

Somewhat tangentially, someone even wrote an sqlite vfs extension for Parquet: https://cldellow.com/2018/06/22/sqlite-parquet-vtable.html

",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/248/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
817989436,MDU6SXNzdWU4MTc5ODk0MzY=,242,Async support,25778,open,0,,,13,2021-02-27T18:29:38Z,2021-10-28T14:37:56Z,,CONTRIBUTOR,,"Following our conversation last week, want to note this here before I forget.

I've had a couple situations where I'd like to do a bunch of updates in an async event loop, but I run into SQLite's issues with concurrent writes. This feels like something sqlite-utils could help with.

PeeWee ORM has a [SQLite write queue](http://docs.peewee-orm.com/en/latest/peewee/playhouse.html#sqliteq) that might be a good model. It's using threads or gevent, but I _think_ that approach would translate well enough to asyncio. 

Happy to help with this, too.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/242/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}",,
722816436,MDU6SXNzdWU3MjI4MTY0MzY=,186,.extract() shouldn't extract null values,9599,open,0,,,7,2020-10-16T02:41:08Z,2021-08-12T12:32:14Z,,OWNER,,"This almost works, but it creates a rogue `type` record with a value of None.
```
In [1]: import sqlite_utils
In [2]: db = sqlite_utils.Database(memory=True)
In [5]: db[""creatures""].insert_all([
    {""id"": 1, ""name"": ""Simon"", ""type"": None},
    {""id"": 2, ""name"": ""Natalie"", ""type"": None},
    {""id"": 3, ""name"": ""Cleo"", ""type"": ""dog""}], pk=""id"")
Out[5]: <Table creatures (id, name, type)>
In [7]: db[""creatures""].extract(""type"")
Out[7]: <Table creatures (id, name, type_id)>
In [8]: list(db[""creatures""].rows)
Out[8]: 
[{'id': 1, 'name': 'Simon', 'type_id': None},
 {'id': 2, 'name': 'Natalie', 'type_id': None},
 {'id': 3, 'name': 'Cleo', 'type_id': 2}]
In [9]: db[""type""]
Out[9]: <Table type (id, type)>
In [10]: list(db[""type""].rows)
Out[10]: [{'id': 1, 'type': None}, {'id': 2, 'type': 'dog'}]
```",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/186/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}",,
915421499,MDU6SXNzdWU5MTU0MjE0OTk=,267,row.update() or row.pk,12721157,open,0,,,4,2021-06-08T19:56:00Z,2021-06-22T17:27:27Z,,NONE,,"Hi,

fantastic framework for working with Sqlite3 databases!!!

I tried to update spezific rows in a table and used

for row in db[tablename]:
    newValue = row[""counter""] * row[""prize""]    
    row.update({""Fieldname"": newValue})
    print(row)


This updates the value in the printet row, but not in the database. So I switched to

db[tablename].update(id, {""Filedname"": newValue})

This works fine. But row.update would be nicer, because no need for the id (its that row), no need for the tablename and the db (all defined in the for row ... loop).

Thx

",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/267/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
818684978,MDU6SXNzdWU4MTg2ODQ5Nzg=,243,How can i use this utils to deal with fts on column meta of tables ?,27874014,open,0,,,0,2021-03-01T09:45:05Z,2021-03-01T09:45:05Z,,NONE,,"Thank you to release this bravo project.
When i use this project on multi table db, I want to implement 
convenient search on column name from different tables.
I want to develop a meta table to save the meta data of different columns
of different tables and search on this meta table to get rows from the
data table (which the meta table describes)
does this project provide some simple function on it ?

You can think a have a knowledge graph about the table in the db, 
and i save this knowledge graph into the db with fts enabled.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/243/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
688670158,MDU6SXNzdWU2ODg2NzAxNTg=,147,SQLITE_MAX_VARS maybe hard-coded too low,96218,open,0,,,7,2020-08-30T07:26:45Z,2021-02-15T21:27:55Z,,CONTRIBUTOR,,"I came across this while about to open an issue and PR against the documentation for `batch_size`, which is a bit incomplete.

As mentioned in #145, while:

> [`SQLITE_MAX_VARIABLE_NUMBER`](https://www.sqlite.org/limits.html#max_variable_number) ... defaults to 999 for SQLite versions prior to 3.32.0 (2020-05-22) or 32766 for SQLite versions after 3.32.0.

it is common that it is increased at compile time. Debian-based systems, for example, seem to ship with a version of sqlite compiled with SQLITE_MAX_VARIABLE_NUMBER set to 250,000, and I believe this is the case for homebrew installations too.

In working to understand what `batch_size` was actually doing and why, I realized that by setting `SQLITE_MAX_VARS` in `db.py` to match the value my sqlite was compiled with (I'm on Debian), I was able to decrease the time to `insert_all()` my test data set (~128k records across 7 tables) from ~26.5s to ~3.5s.  Given that this about .05% of my total dataset, this is time I am keen to save...

Unfortunately, it seems that `sqlite3` in the python standard library doesn't expose the `get_limit()` C API (even though `pysqlite` used to), so it's hard to know what value sqlite has been compiled with (note that this could mean, I suppose, that it's less than 999, and even hardcoding `SQLITE_MAX_VARS` to the conservative default might not be adequate.  It can also be lowered -- but not raised -- at runtime).  The best I could come up with is `echo """" | sqlite3 -cmd "".limits variable_number""` (only available in `sqlite >= 2015-05-07 (3.8.10)`).

Obviously this couldn't be relied upon in `sqlite_utils`, but I wonder what your opinion would be about exposing `SQLITE_MAX_VARS` as a user-configurable parameter (with suitable ""here be dragons"" warnings)?  I'm going to go ahead and monkey-patch it for my purposes in any event, but it seems like it might be worth considering.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/147/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
472115381,MDU6SXNzdWU0NzIxMTUzODE=,49,extracts= should support multiple-column extracts,9599,open,0,,,10,2019-07-24T07:06:41Z,2020-10-16T19:18:19Z,,OWNER,,"Lookup tables can be constructed on compound columns, but the `extracts=` option doesn't currently support that.

Right now extracts can be defined in two ways:
```python
# Extract these columns into tables with the same name:
dogs = db.table(""dogs"", extracts=[""breed"", ""most_recent_trophy""])

# Same as above but with custom table names:
dogs = db.table(""dogs"", extracts={""breed"": ""Breeds"", ""most_recent_trophy"": ""Trophies""})
```
Need some kind of syntax for much more complicated extractions, like when two columns (say ""source"" and ""source_version"") are extracted into a single table.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/49/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
573578548,MDU6SXNzdWU1NzM1Nzg1NDg=,89,Ability to customize columns used by extracts= feature,9599,open,0,,,3,2020-03-01T16:54:48Z,2020-10-16T19:17:50Z,,OWNER,,"@simonw any thoughts on allow extracts to specify the lookup column name? If I'm understanding the documentation right, `.lookup()` allows you to define the ""value"" column (the documentation uses name), but when you use `extracts` keyword as part of `.insert()`, `.upsert()` etc. the lookup must be done against a column named ""value"". I have an existing lookup table that I've populated with columns ""id"" and ""name"" as opposed to ""id"" and ""value"", and seems I can't use `extracts=`, unless I'm missing something...

Initial thought on how to do this would be to allow the dictionary value to be a tuple of table name column pair... so:
```
table = db.table(""trees"", extracts={""species_id"": (""Species"", ""name""})
```

I haven't dug too much into the existing code yet, but does this make sense? Worth doing?

_Originally posted by @chrishas35 in https://github.com/simonw/sqlite-utils/issues/46#issuecomment-592999503_",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/89/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
581795570,MDU6SXNzdWU1ODE3OTU1NzA=,93,Support more string values for types in .add_column(),9599,open,0,,,0,2020-03-15T19:32:49Z,2020-09-24T20:36:46Z,,OWNER,,"https://sqlite-utils.readthedocs.io/en/2.4.2/python-api.html#adding-columns says:
> SQLite types you can specify are ""TEXT"", ""INTEGER"", ""FLOAT"" or ""BLOB"".

As discovered in #92 this isn't the right list of values. I should expand this to match https://www.sqlite.org/datatype3.html",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/93/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
652961907,MDU6SXNzdWU2NTI5NjE5MDc=,121,Improved (and better documented) support for transactions,9599,open,0,,,3,2020-07-08T04:56:51Z,2020-09-24T20:36:46Z,,OWNER,,"_Originally posted by @simonw in https://github.com/simonw/sqlite-utils/pull/118#issuecomment-655283393_

We should put some thought into how this library supports and encourages smart use of transactions.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/121/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
688352145,MDU6SXNzdWU2ODgzNTIxNDU=,141,insert-files support for compressed values,9599,open,0,,,0,2020-08-28T20:59:46Z,2020-09-24T20:36:08Z,,OWNER,,"The `sqlar` format supports this, it would be useful if `insert-files` could support this too.

https://www.sqlite.org/sqlar.html",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/141/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}",,
644161221,MDU6SXNzdWU2NDQxNjEyMjE=,117,Support for compound (composite) foreign keys,9599,open,0,,,3,2020-06-23T21:33:42Z,2020-06-23T21:40:31Z,,OWNER,,"It turns out SQLite supports composite foreign keys: https://www.sqlite.org/foreignkeys.html#fk_composite

Their example looks like this:
```sql
CREATE TABLE album(
  albumartist TEXT,
  albumname TEXT,
  albumcover BINARY,
  PRIMARY KEY(albumartist, albumname)
);

CREATE TABLE song(
  songid     INTEGER,
  songartist TEXT,
  songalbum TEXT,
  songname   TEXT,
  FOREIGN KEY(songartist, songalbum) REFERENCES album(albumartist, albumname)
);
```

Here's what that looks like in sqlite-utils:

```
In [1]: import sqlite_utils                                                                                                                

In [2]: import sqlite3                                                                                                                     

In [3]: conn = sqlite3.connect("":memory:"")                                                                                                 

In [4]: conn                                                                                                                               
Out[4]: <sqlite3.Connection at 0x1087186c0>

In [5]: conn.executescript("""""" 
   ...: CREATE TABLE album( 
   ...:   albumartist TEXT, 
   ...:   albumname TEXT, 
   ...:   albumcover BINARY, 
   ...:   PRIMARY KEY(albumartist, albumname) 
   ...: ); 
   ...:  
   ...: CREATE TABLE song( 
   ...:   songid     INTEGER, 
   ...:   songartist TEXT, 
   ...:   songalbum TEXT, 
   ...:   songname   TEXT, 
   ...:   FOREIGN KEY(songartist, songalbum) REFERENCES album(albumartist, albumname) 
   ...: ); 
   ...: """""")                                                                                                                               
Out[5]: <sqlite3.Cursor at 0x1088def10>

In [6]: db = sqlite_utils.Database(conn)                                                                                                   

In [7]: db.tables                                                                                                                          
Out[7]: 
[<Table album (albumartist, albumname, albumcover)>,
 <Table song (songid, songartist, songalbum, songname)>]

In [8]: db.tables[0].foreign_keys                                                                                                          
Out[8]: []

In [9]: db.tables[1].foreign_keys                                                                                                          
Out[9]: 
[ForeignKey(table='song', column='songartist', other_table='album', other_column='albumartist'),
 ForeignKey(table='song', column='songalbum', other_table='album', other_column='albumname')]
```
The table appears to have two separate foreign keys, when actually it has a single compound composite foreign key.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/117/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}",,
546073980,MDU6SXNzdWU1NDYwNzM5ODA=,74,Test failures on openSUSE 15.1: AssertionError: Explicit other_table and other_column,15092,open,0,,,3,2020-01-07T04:35:50Z,2020-01-12T07:21:17Z,,CONTRIBUTOR,,"openSUSE 15.1 is using python 3.6.5 and click-7.0 , however it has test failures while openSUSE Tumbleweed on py37 passes.

Most fail on the cli exit code like
```py
[   74s] =================================== FAILURES ===================================
[   74s] _________________________________ test_tables __________________________________
[   74s] 
[   74s] db_path = '/tmp/pytest-of-abuild/pytest-0/test_tables0/test.db'
[   74s] 
[   74s]     def test_tables(db_path):
[   74s]         result = CliRunner().invoke(cli.cli, [""tables"", db_path])
[   74s] >       assert '[{""table"": ""Gosh""},\n {""table"": ""Gosh2""}]' == result.output.strip()
[   74s] E       assert '[{""table"": ""...e"": ""Gosh2""}]' == ''
[   74s] E         - [{""table"": ""Gosh""},
[   74s] E         -  {""table"": ""Gosh2""}]
[   74s] 
[   74s] tests/test_cli.py:28: AssertionError
```

packaging project at https://build.opensuse.org/package/show/home:jayvdb:py-new/python-sqlite-utils

I'll keep digging into this after I have github-to-sqlite working on Tumbleweed, as I'll need openSUSE Leap 15.1 working before I can submit this into the main python repo.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/74/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,