2.8 KiB
2.8 KiB
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Quicker is a pythonic tool for querying databases.
Quicker wraps Python bindings on DBMS libraries:
mysqlclient
for MySQL.psycopg2
for PostgreSQL.sqlite
from Python standard library for SQLite (not implemented yet).
Connection parameters will passed to "backend" module as is.
Installation
pip install git+https://git.nxhs.cloud/ge/quicker
Usage
Connection
is context manages and must be used with with
keyword. Connection
returns Query
callable object. Query
can be called in this ways:
with Connection(**config) as db:
db.execute("sql query here...")
db.query("sql query here...") # query is alias for exec()
# Query is callable and you can also do this:
with Connection(**config) as query:
query("sql query here...")
Query
cannot be called itself, you must use Connection
to correctly initialise Query
object. Available methods and properties:
query()
,execute()
. Execute SQL. There is You can use here this syntax:query('SELECT * FROM users WHERE id = %s', (15,))
.commit()
. Write changes into database.cursor
. Access cursor object directly.connection
. Access connection object directly.
Full example:
import json
from quicker import Connection
config = {
'provider': 'mysql',
'host': '127.0.0.1',
'port': 3306,
'user': 'myuser',
'database': 'mydb',
'password': 'example',
}
with Connection(**config) as query:
users = query("SELECT * FROM `users`")
print(json.dumps(users, indent=4))
users
will presented as list of dicts:
[
{
'id': 1,
'name': 'test',
'email': 'noreply@localhost'
},
{
'id': 2,
'name': 'user1',
'email': 'my@example.com'
}
]
Changing database:
from quicker import Connection
with Connection(provider='mysql', read_default_file='~/.my.cnf') as db:
db.query("INSERT INTO `users` VALUE (3, 'user2', 'user2@example.org')")
Quicker by default make commit after closing context. Set option commit=False
to disable automatic commit.
For logging add following code:
import logging
logging.basicConfig(level=logging.DEBUG)
Direct access to Cursor object:
from quicker import Connection, make_list
# config declaration here...
with Connection(**config) as db:
db.cursor.execute('SELECT `id`, `name`, `email` FROM `users` WHERE `name` = %s', ('John',))
users = db.cursor.fetchall()
# Note: user is tuple! Convert it to list of dicts!
colnames = [desc[0] for desc in db.cursor.description]
users_list = make_list(colnames, users)