pydbal 0.9

Database Abstraction Layer (DBAL) for Python 2.6+

Database Abstraction Layer (DBAL) for Python 2.6+.

pyDBAL library is the improved and optimised port of Doctrine DBAL project.

Installation

$ pip install pydbal

Requirements

For using mysql driver MySQLdb library is required. Optionally lrucache is required to maintain memory safe cache operations.

Basic Usage

To open new connection import Connection from pydbal.connection package and initialise Connection class for a required driver with desired parameters.

from pydbal.connection import Connection

conn = Connection('mysql', host='localhost', user='root', database='mydb')

pyDBAL currently supports the following drivers: mysql and sqlite. You can create a custom driver by inheriting pydbal.drivers.BaseDriver and passing to Connection constructor.

Query Statements

To SELECT data from the database you may use query method. This method will return the instance of pydbal.statement.Statement.

# simple fetch generator
for row in conn.query('SELECT * FROM table'):
    print(row)

# same as the above but fetch mode can be applied (Connection.FETCH_*)
for row in conn.query('SELECT * FROM table').iterate(fetch_mode=Connection.FETCH_OBJECT):
    print(row)

# fetch row by row
result = conn.query('SELECT * FROM table')
row1 = result.fetch()
row2 = result.fetch()

# fetch all rows
rows = conn.query('SELECT * FROM table').fetch_all()

# fetch single value from column
count = conn.query('SELECT COUNT(*) FROM table').fetch_column()

# fetch all values from column by index
ids = conn.query('SELECT id FROM table').fetch_all(fetch_mode=Connection.FETCH_COLUMN, column_index=0)

Execute Statements

To execute INSERT, UPDATE or DELETE statements you may use execute method. This method will return number of affected rows.

# INSERT
conn.execute('INSERT INTO table VALUES (?)', [val1, val2, val3])
last_insert_id = conn.last_insert_id()

# UPDATE
affected_rows = conn.execute('UPDATE table SET column = ? WHERE id = ?', val1, id_)

# DELETE
affected_rows = conn.execute('DELETE FROM table WHERE id = ?', id_)

Statement Parameters

Both query and execute methods support safe parameter binding by passing arguments after the first sql argument.

# single positional parameter
row = conn.query('SELECT * FROM table WHERE id = ?', id_).fetch()

# multiple positional parameters
row = conn.query('SELECT * FROM table WHERE id = ? OR id = ?', id1, id2).fetch()

# named parameters
row = conn.query('SELECT * FROM table WHERE id = :id1 OR id = :id2', id1=id1, id2=id2).fetch()

# iterable parameters
row = conn.query('SELECT * FROM table WHERE id IN (?)', [id1, id2]).fetch()

Transactions

pyDBAL supports transactional operations.

conn.begin_transaction()
try:
    # ... execute statements ...
    conn.commit()
except:
    conn.rollback()

# same as the above
def trans():
    # ... execute statements ...
    return smth
smth = conn.transaction(trans)

If database platform supports savepoints you may enable and use nested transactions.

conn.set_nest_transactions_with_savepoints(True)
conn.begin_transaction()
# ... execute statements 1 ...
conn.begin_transaction()
# ... execute statements 2 ...
conn.commit()  # commit 1
conn.rollback()  # rollback 2

# to control savepoints manually
conn.create_savepoint('MYSAVEPOINT')
conn.release_savepoint('MYSAVEPOINT')
conn.rollback_savepoint('MYSAVEPOINT')

SQL Builder

To make writing SQL statements more simple and flexible it’s suggested to use pydbal.builder.SQLBuilder.

# SELECT
sqb = (
    conn.sql_builder()
        .select('t1.id', 't2.id', 'SUM(t1.col) AS special')
        .from_('table1', 't1')
        .join('t1', 'table2', 't2', 't2.id = t1.id')
        .where('t1.col = :val')
        .set_parameter('val', val)
        .group_by('t1.col')
        .having('special IS NOT NULL')
        .order_by('t2.id')
)
for row in sqb.execute():
    print(row)

# INSERT
last_insert_id = (
    conn.sql_builder()
        .insert('table')
        .values({'col1': val1, 'col2': val2})
).execute()

# UPDATE
affected_rows = (
    conn.sql_builder()
        .update('table')
        .set('col1', val1)
        .set('col2', val2)
        .where('id = :id')
        .set_parameter('id', id_)
).execute()

# DELETE
affected_rows = (
    conn.sql_builder()
        .delete('table')
        .where('id = ?')
        .set_parameter(0, id_)
).execute()

Expression Builder

WHERE, HAVING and JOIN ... ON expressions can be created using pydbal.builder.ExpressionBuilder.

expr = conn.get_expression_builder()
# or via SQL Builder instance
# expr = sqb.expr()

sqb.where(
    expr.and_x(expr.eq('a', 'b'), expr.is_null('c'))
        .or_x(
            expr.and_x('d IS NULL', expr.in_('e', ['1', '2', '3'])),
            expr.neq('f', expr.literal('abc'))
        )
)

Schema Manager

pyDBAL comes with simple read only SQL schema manager. It supports listing of databases, tables, views, columns, indexes and foreign keys. Internal database queries are cached with pydbal.cache mechanisms.

sm = conn.get_schema_manager()

# database names
db_names = sm.get_database_names()

# views
views = sm.get_views()
view_names = sm.get_view_names()

# tables
tables = sm.get_tables()
table_names = sm.get_table_names()

# columns
table_columns = sm.get_table_columns('table')
table_column_names = sm.get_table_column_names('table')

# indexes
table_indexes = sm.get_table_indexes('table')
table_index_names = sm.get_table_index_names('table')

# foreign keys
table_foreign_keys = sm.get_table_foreign_keys('table')
table_foreign_key_names = sm.get_table_foreign_key_names('table')

License

Library is available under the MIT license. The included LICENSE file describes this in detail.