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Simplify your database access.

Project Description

DBQuery: make database queries easy

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A comfortable database configuration and query wrapper for the Python DB-API.

Example

Sample code for connecting to an existing SQLite database and printing some rows from a table named world:

>>> import dbquery
>>> db = dbquery.SQLiteDB('test.db')
>>> get_hello = db.Select('SELECT hello FROM world WHERE id=?')
>>> for hello_id in (123, 456):
...     rows = get_hello(hello_id)
...     print(rows)  # list of row tuples
...
[('hello',)]
[('another hello',)]

Using SelectOne instead of Select this can be simplified even further:

>>> get_one_hello = db.SelectOne('SELECT hello FROM world WHERE id=?')
>>> for hello_id in (123, 456):
...     hello = get_one_hello(hello_id)
...     print(hello)  # content of the hello column
...
hello
another hello

Set up a database for the example code

$ sqlite3 test.db
sqlite> CREATE TABLE world (id INTEGER, hello VARCHAR);
sqlite> INSERT INTO world VALUES (123, 'hello'), (456, 'another hello');

With this you can use test.db as database in the above examples. Just be sure you call python from the same directory as where the database file is.

Supported databases

  • SQLite
  • PostgreSQL (requires the presence of Psycopg2)

Installation

$ pip install dbquery

Documentation

The Python DB-API specifies connections and cursors for executing SQL. DBQuery is designed to hide this complexity when it is not needed. Instead it provides a DB and a Query class for executing SQL. DB (or one of its sub classes like SQLiteDB) saves the connection information and provides access to the Query classes which use this to execute the provided SQL.

This way a it is possible work with SQL queries as if they where functions:

>>> db = dbquery.db.DB(<CONFIGURATION>)
>>> get_user = db.SelectOne(
...    "Select email, first_name FROM users WHERE user_id=?")
>>> email, first_name = get_user(123)

What is more, if the connection to a database gets lost DBQuery can automatically try to reconnect up to a specified count of retries:

>>> db = dbquery.db.DB(configuration, retry=3)  # retry to connect 3 times

Configuration

The exact behavior depends on the actual DB implementation for a specific database. In general all configuration parameters are passed to the DB constructor. Usually a connection to the database will not be opened until the first query is made

SQLiteDB

database, **kwds parameters of the SQLiteDB constructor will be passed on the the SQLite connect function.

PostgreSQL

Accepts either the DSN string or configuration parameters for the Psqycopg2 connect function as keyword parameters.

Transaction

The DB instance acts as a context manager for starting a connection on entering the context and committing the queries in between in exit. If an exception happens a rollback call will be made instead.

Note: SQLiteDB does not implement this feature.

Query

Executes a SQL query without being interested in any result. It is the base class for all other queries.

Overwrite _produce_return if you are interested in creating your own class that does something with the cursor that executed the query.

QueryCursor

Executes the given SQL then returns the curser for direct access. Use within a context. Exiting the context will close the cursor.

For example perform a fetchone:

>>> get_first_name_cursor = db.QueryCursor(
...     "SELECT first_name FROM users where id=?")
>>> with get_first_name_cursor(123) as cursor:
...     print(cursor.fetchone())
...
('Foo',)
>>>

Manipulation

Use this to execute any INSERT, UPDATE and similar queries when the rowcount of the cursor should be returned. It is possible to automatically check the value of the row count by setting the rowcount parameter. If the resulting row count does not match the provided one a ManipulationCheckError will be raised.

This can be used to for example make sure that only one row was updated by a query:

>>> update_user_name = db.Manipulation(
...    "UPDATE users SET first_name=? WHERE id=?", rowcount=1)
>>> with db:  # start a new transaction, does not work with SQLiteDB!
...    update_user_name("new_name", 123)  # roll back if rowcount != 1
...
1
>>>

Select

Returns the result of fetchall(), making it ideal for SELECT queries.

SelectOne

Checks that only one row is returned by the specified query. Returns None otherwise. If the result row contains only one column then only that columns value will be returned:

>>> get_first_name = db.SelectOne(
...     "SELECT first_name FROM users where id=?")
>>> get_first_name(123)
'Foo'
>>>

SelectIterator

Select rows and precess them in chunks. For this purpose SelectIterator requeires a callback function together with the SQL. This callback will at query time be called with a generator which produces all the rows from the query result, directly streamed from the DB, in blocks of specified size (arraysize).

It is possible to specify additional parameters for the callback function, if needed.

>>> def callback(row_generator):
...     for row in row_generator:
...         print(row)
...
>>> get_first_names = db.SelectIterator(
...     "SELECT first_name FROM users", callback)
>>> get_first_names()
('Foo',)
>>>

Changelog

v0.4.1

  • Added SelectIterator iteration QueryCursor which allows direct cursor access

v0.4.0

  • Added SelectIterator

Release history Release notifications

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