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Use ``rst2html.py`` to convert this file to HTML.
=======================================================================
The MonetDB MAPI and SQL client Python API, with Async and COPY support
=======================================================================
This version of the Python 3 MonetDB client includes some additional features to support bulk copy operations
Introduction
============
This is the new native Python client API. This API is cross-platform,
and doesn't depend on any monetdb libraries. It has support for
Python 3.2+ and is Python DBAPI 2.0 compatible.
This is a fork of the code distributed with MonetDB that adds support
for asynchronous operation (requires greenlet_) and bulk I/O
with ``COPY``.
.. _greenlet: https://greenlet.readthedocs.org/en/latest/
Installation
============
To install the MonetDB Python API run the following command from the
python source directory::
# python setup.py install
That's all, now you are ready to start using the API.
Documentation
=============
The Python code is well documented, so if you need to find
documentation you should have a look at the source code. Below is an
interactive example on how to use the MonetDB SQL API which should get
you started quite fast.
Examples
========
There are some examples in the 'examples' folder, but here are is a
line by line example of the SQL API::
> # import the SQL module
> import monetdb.sql
>
> # set up a connection. arguments below are the defaults
> connection = monetdb.sql.connect(username="monetdb", password="monetdb", hostname="localhost", database="demo")
>
> # create a cursor
> cursor = connection.cursor()
>
> # increase the rows fetched to increase performance (optional)
> cursor.arraysize = 100
>
> # execute a query (return the number of rows to fetch)
> cursor.execute('SELECT * FROM tables')
26
>
> # fetch only one row
> cursor.fetchone()
[1062, 'schemas', 1061, None, 0, True, 0, 0]
>
> # fetch the remaining rows
> cursor.fetchall()
[[1067, 'types', 1061, None, 0, True, 0, 0],
[1076, 'functions', 1061, None, 0, True, 0, 0],
[1085, 'args', 1061, None, 0, True, 0, 0],
[1093, 'sequences', 1061, None, 0, True, 0, 0],
[1103, 'dependencies', 1061, None, 0, True, 0, 0],
[1107, 'connections', 1061, None, 0, True, 0, 0],
[1116, '_tables', 1061, None, 0, True, 0, 0],
...
[4141, 'user_role', 1061, None, 0, True, 0, 0],
[4144, 'auths', 1061, None, 0, True, 0, 0],
[4148, 'privileges', 1061, None, 0, True, 0, 0]]
>
> # Show the table meta data
> cursor.description
[('id', 'int', 4, 4, None, None, None),
('name', 'varchar', 12, 12, None, None, None),
('schema_id', 'int', 4, 4, None, None, None),
('query', 'varchar', 168, 168, None, None, None),
('type', 'smallint', 1, 1, None, None, None),
('system', 'boolean', 5, 5, None, None, None),
('commit_action', 'smallint', 1, 1, None, None, None),
('temporary', 'tinyint', 1, 1, None, None, None)]
If you would like to communicate with the database at a lower level
you can use the MAPI library::
> from monetdb import mapi
> server = mapi.Server()
> server.connect(hostname="localhost", port=50000, username="monetdb", password="monetdb", database="demo", language="sql")
> server.cmd("sSELECT * FROM tables;")
...
Copying a table from PostgreSQL (using the Psycopg2 driver) to MonetDB::
data = io.StringIO()
pg_cursor = pg_conn.cursor()
pg_cursor.copy_expert(
"""COPY {} TO STDOUT WITH CSV QUOTE '"' ESCAPE '\\' NULL ''""".format(pg_table), data)
data.seek(0)
monetdb_cursor = monetdb_conn.cursor()
monetdb_cursor.copy_from(data, monetdb_table, string_quote='"', null_string='')
monetdb_conn.commit()