Learn more about the CData ODBC Driver for PostgreSQL or download a free trial:
CData ODBC Drivers は、ODBC をサポートするあらゆる環境から利用可能です。 本記事では、PyCharm からのCData ODBC Driver for PostgreSQL の利用を説明します。ODBC Deriver をデータソースとして設定する方法、データソースをクエリするPyCharm のベーシックな方法を含みます。
To begin, this tutorial will assume that you have already installed the CData ODBC Driver for PostgreSQL as well as PyCharm.
Follow the steps below to add the pyodbc module to your project.
You can now connect with an ODBC connection string or a DSN. See the Getting Started section in the CData driver documentation for a guide to creating a DSN on your OS.
To connect to PostgreSQL, set the Server, Port (the default port is 5432), and Database connection properties and set the User and Password you wish to use to authenticate to the server. If the Database property is not specified, the data provider connects to the user's default database.
Below is the syntax for a DSN:
[CData PostgreSQL Source]
Driver = CData ODBC Driver for PostgreSQL
Description = My Description
User = postgres
Password = admin
Database = postgres
Server = 127.0.0.1
Port = 5432
Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.
import pyodbc
cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for PostgreSQL};User = postgres;Password = admin;Database = postgres;Server = 127.0.0.1;Port = 5432;')
cursor = cnxn.cursor()
cursor.execute("SELECT ShipName, ShipCity FROM Orders WHERE ShipCountry = 'USA'")
rows = cursor.fetchall()
for row in rows:
print(row.ShipName, row.ShipCity)
After connecting to PostgreSQL in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to PostgreSQL data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at support@cdata.com.