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+# sqlite-minutils
+
+
+<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
+
+<div>
+
+> **Where to find the complete documentation for this library**
+>
+> If you want to learn about everything this project can do, we
+> recommend reading the Python library section of the sqlite-utils
+> project
+> [here](https://sqlite-utils.datasette.io/en/stable/python-api.html).
+>
+> This project wouldn’t exist without Simon Willison and his excellent
+> [sqlite-utils](https://github.com/simonw/sqlite-utils) project. Most
+> of this project is his code, with some minor changes made to it.
+
+</div>
+
+## Install
+
+    pip install sqlite-minutils
+
+## Use
+
+First, import the sqlite-miniutils library. Through the use of the
+**all** attribute in our Python modules by using `import *` we only
+bring in the `Database`, `Queryable`, `Table`, `View` classes. There’s
+no risk of namespace pollution.
+
+``` python
+from sqlite_minutils.db import *
+```
+
+Then we create a SQLite database. For the sake of convienance we’re
+doing it in-memory with the `:memory:` special string. If you wanted
+something more persistent, name it something not surrounded by colons,
+`data.db` is a common file name.
+
+``` python
+db = Database(":memory:")
+```
+
+Let’s drop (aka ‘delete’) any tables that might exist. These docs also
+serve as a test harness, and we want to make certain we are starting
+with a clean slate. This also serves as a handy sneak preview of some of
+the features of this library.
+
+``` python
+for t in db.tables: t.drop()
+```
+
+User tables are a handy way to create a useful example with some
+real-world meaning. To do this, we first instantiate the `users` table
+object:
+
+``` python
+users = Table(db, 'Users')
+users
+```
+
+    <Table Users (does not exist yet)>
+
+The table doesn’t exist yet, so let’s add some columns via the
+`Table.create` method:
+
+``` python
+users.create(columns=dict(id=int, name=str, age=int))
+users
+```
+
+    <Table Users (id, name, age)>
+
+What if we need to change the table structure?
+
+For example User tables often include things like password field. Let’s
+add that now by calling `create` again, but this time with
+`transform=True`. We should now see that the `users` table now has the
+`pwd:str` field added.
+
+``` python
+users.create(columns=dict(id=int, name=str, age=int, pwd=str), transform=True, pk='id')
+users
+```
+
+    <Table Users (id, name, age, pwd)>
+
+``` python
+print(db.schema)
+```
+
+    CREATE TABLE "Users" (
+       [id] INTEGER PRIMARY KEY,
+       [name] TEXT,
+       [age] INTEGER,
+       [pwd] TEXT
+    );
+
+## Queries
+
+Let’s add some users to query:
+
+``` python
+users.insert(dict(name='Raven', age=8, pwd='s3cret'))
+users.insert(dict(name='Magpie', age=5, pwd='supersecret'))
+users.insert(dict(name='Crow', age=12, pwd='verysecret'))
+users.insert(dict(name='Pigeon', age=3, pwd='keptsecret'))
+users.insert(dict(name='Eagle', age=7, pwd='s3cr3t'))
+```
+
+    <Table Users (id, name, age, pwd)>
+
+A simple unfiltered select can be executed using `rows` property on the
+table object.
+
+``` python
+users.rows
+```
+
+    <generator object Queryable.rows_where>
+
+Let’s iterate over that generator to see the results:
+
+``` python
+[o for o in users.rows]
+```
+
+    [{'id': 1, 'name': 'Raven', 'age': 8, 'pwd': 's3cret'},
+     {'id': 2, 'name': 'Magpie', 'age': 5, 'pwd': 'supersecret'},
+     {'id': 3, 'name': 'Crow', 'age': 12, 'pwd': 'verysecret'},
+     {'id': 4, 'name': 'Pigeon', 'age': 3, 'pwd': 'keptsecret'},
+     {'id': 5, 'name': 'Eagle', 'age': 7, 'pwd': 's3cr3t'}]
+
+Filtering can be done via the `rows_where` function:
+
+``` python
+[o for o in users.rows_where('age > 3')]
+```
+
+    [{'id': 1, 'name': 'Raven', 'age': 8, 'pwd': 's3cret'},
+     {'id': 2, 'name': 'Magpie', 'age': 5, 'pwd': 'supersecret'},
+     {'id': 3, 'name': 'Crow', 'age': 12, 'pwd': 'verysecret'},
+     {'id': 5, 'name': 'Eagle', 'age': 7, 'pwd': 's3cr3t'}]
+
+We can also `limit` the results:
+
+``` python
+[o for o in users.rows_where('age > 3', limit=2)]
+```
+
+    [{'id': 1, 'name': 'Raven', 'age': 8, 'pwd': 's3cret'},
+     {'id': 2, 'name': 'Magpie', 'age': 5, 'pwd': 'supersecret'}]
+
+The `offset` keyword can be combined with the `limit` keyword.
+
+``` python
+[o for o in users.rows_where('age > 3', limit=2, offset=1)]
+```
+
+    [{'id': 2, 'name': 'Magpie', 'age': 5, 'pwd': 'supersecret'},
+     {'id': 3, 'name': 'Crow', 'age': 12, 'pwd': 'verysecret'}]
+
+The `offset` must be used with `limit` or raise a `ValueError`:
+
+``` python
+try:
+    [o for o in users.rows_where(offset=1)]
+except ValueError as e:
+    print(e)
+```
+
+    Cannot use offset without limit
+
+## Transactions
+
+If you have any SQL calls outside an explicit transaction, they are
+committed instantly.
+
+To group 2 or more queries together into 1 transaction, wrap them in a
+BEGIN and COMMIT, executing ROLLBACK if an exception is caught:
+
+``` python
+users.get(1)
+```
+
+    {'id': 1, 'name': 'Raven', 'age': 8, 'pwd': 's3cret'}
+
+``` python
+db.begin()
+try:
+    users.delete([1])
+    db.execute('FNOOORD')
+    db.commit()
+except Exception as e:
+    print(e)
+    db.rollback()
+```
+
+    near "FNOOORD": syntax error
+
+Because the transaction was rolled back, the user was not deleted:
+
+``` python
+users.get(1)
+```
+
+    {'id': 1, 'name': 'Raven', 'age': 8, 'pwd': 's3cret'}
+
+Let’s do it again, but without the DB error, to check the transaction is
+successful:
+
+``` python
+db.begin()
+try:
+    users.delete([1])
+    db.commit()
+except Exception as e: db.rollback()
+```
+
+``` python
+try:
+    users.get(1)
+    print("Delete failed!")
+except: print("Delete succeeded!")
+```
+
+    Delete succeeded!

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+    "text": "Use\nFirst, import the sqlite-miniutils library. Through the use of the all attribute in our Python modules by using import * we only bring in the Database, Queryable, Table, View classes. There’s no risk of namespace pollution.\n\nfrom sqlite_minutils.db import *\n\nThen we create a SQLite database. For the sake of convienance we’re doing it in-memory with the :memory: special string. If you wanted something more persistent, name it something not surrounded by colons, data.db is a common file name.\n\ndb = Database(\":memory:\")\n\nLet’s drop (aka ‘delete’) any tables that might exist. These docs also serve as a test harness, and we want to make certain we are starting with a clean slate. This also serves as a handy sneak preview of some of the features of this library.\n\nfor t in db.tables: t.drop()\n\nUser tables are a handy way to create a useful example with some real-world meaning. To do this, we first instantiate the users table object:\n\nusers = Table(db, 'Users')\nusers\n\n<Table Users (does not exist yet)>\n\n\nThe table doesn’t exist yet, so let’s add some columns via the Table.create method:\n\nusers.create(columns=dict(id=int, name=str, age=int))\nusers\n\n<Table Users (id, name, age)>\n\n\nWhat if we need to change the table structure?\nFor example User tables often include things like password field. Let’s add that now by calling create again, but this time with transform=True. We should now see that the users table now has the pwd:str field added.\n\nusers.create(columns=dict(id=int, name=str, age=int, pwd=str), transform=True, pk='id')\nusers\n\n<Table Users (id, name, age, pwd)>\n\n\n\nprint(db.schema)\n\nCREATE TABLE \"Users\" (\n   [id] INTEGER PRIMARY KEY,\n   [name] TEXT,\n   [age] INTEGER,\n   [pwd] TEXT\n);",
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+    "text": "Queries\nLet’s add some users to query:\n\nusers.insert(dict(name='Raven', age=8, pwd='s3cret'))\nusers.insert(dict(name='Magpie', age=5, pwd='supersecret'))\nusers.insert(dict(name='Crow', age=12, pwd='verysecret'))\nusers.insert(dict(name='Pigeon', age=3, pwd='keptsecret'))\nusers.insert(dict(name='Eagle', age=7, pwd='s3cr3t'))\n\n<Table Users (id, name, age, pwd)>\n\n\nA simple unfiltered select can be executed using rows property on the table object.\n\nusers.rows\n\n<generator object Queryable.rows_where>\n\n\nLet’s iterate over that generator to see the results:\n\n[o for o in users.rows]\n\n[{'id': 1, 'name': 'Raven', 'age': 8, 'pwd': 's3cret'},\n {'id': 2, 'name': 'Magpie', 'age': 5, 'pwd': 'supersecret'},\n {'id': 3, 'name': 'Crow', 'age': 12, 'pwd': 'verysecret'},\n {'id': 4, 'name': 'Pigeon', 'age': 3, 'pwd': 'keptsecret'},\n {'id': 5, 'name': 'Eagle', 'age': 7, 'pwd': 's3cr3t'}]\n\n\nFiltering can be done via the rows_where function:\n\n[o for o in users.rows_where('age > 3')]\n\n[{'id': 1, 'name': 'Raven', 'age': 8, 'pwd': 's3cret'},\n {'id': 2, 'name': 'Magpie', 'age': 5, 'pwd': 'supersecret'},\n {'id': 3, 'name': 'Crow', 'age': 12, 'pwd': 'verysecret'},\n {'id': 5, 'name': 'Eagle', 'age': 7, 'pwd': 's3cr3t'}]\n\n\nWe can also limit the results:\n\n[o for o in users.rows_where('age > 3', limit=2)]\n\n[{'id': 1, 'name': 'Raven', 'age': 8, 'pwd': 's3cret'},\n {'id': 2, 'name': 'Magpie', 'age': 5, 'pwd': 'supersecret'}]\n\n\nThe offset keyword can be combined with the limit keyword.\n\n[o for o in users.rows_where('age > 3', limit=2, offset=1)]\n\n[{'id': 2, 'name': 'Magpie', 'age': 5, 'pwd': 'supersecret'},\n {'id': 3, 'name': 'Crow', 'age': 12, 'pwd': 'verysecret'}]\n\n\nThe offset must be used with limit or raise a ValueError:\n\ntry:\n    [o for o in users.rows_where(offset=1)]\nexcept ValueError as e:\n    print(e)\n\nCannot use offset without limit",
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