New level of functionality and performance in data access via Python
Project description
Python Connector for Oracle
Python Connector for Oracle is a connectivity solution for accessing Oracle databases from Python applications. It fully implements the Python DB API 2.0 specification. The connector is distributed as a wheel package for Windows, macOS, and Linux.
Direct connection
The connector enables you to establish a direct connection to Oracle from a Python application via TCP/IP, eliminating the need for the database client libraries. A direct connection increases the speed of data transmission between the application and Oracle database server and streamlines the deployment process since you don't have to distribute any client libraries with the application.
Secure communication
Connecting
To establish a connection to an Oracle database, import the connector and use
the connect() method with your connection parameters.
Import the connector
First, import the Oracle connector module:
import devart.oracle as oracle
Establish a connection
Call the connect() method and obtain a connection object.
my_connection = oracle.connect(
Direct=True, Host="your_server", ServiceName="your_service_name", UserName="your_username", Password="your_password"
)
Replace the example values with your actual connection values.
Querying data
Once connected to Oracle, you can execute SQL queries to retrieve data from your Oracle database.
Execute a query
Create a cursor object using the cursor() connection method.
my_cursor = my_connection.cursor()
Execute a SQL query using the execute() cursor method.
my_cursor.execute("SELECT * FROM employees")
Retrieve results using one of the fetch*() methods.
for row in my_cursor.fetchall():
print(row)
Parameterized queries
You can use parameterized queries to pass variable values to your SQL statements. This allows you to reuse the same query with different data and helps to prevent SQL injection attacks.
Pass parameters as a list or tuple to the execute() method:
query = "SELECT Id, Name FROM Contact WHERE Name = ? AND Email = ?"
params = ["Jordan Sanders", "jordansanders@example.com"]
my_cursor.execute(query, params)
results = my_cursor.fetchall()
for row in results:
print(row)
Each placeholder ? in the query is replaced with a corresponding value from the parameter list.
Ordering and activating the license
You can purchase a license for the connector on the ordering page:
https://www.devart.com/python/oracle/ordering.html
To activate the license, follow the instructions in the documentation:
https://docs.devart.com/python/oracle/activate-a-license.htm
What's new
Python Connector for Oracle 1.3
- Added support for Python 3.14
- Added support for auto-login wallets
- Added support for the BOOLEAN data type in Oracle 23 and later
- Added support for passwords longer than 30 characters in the Direct mode for Oracle 23 and later
- Added support for the Bearer Token authentication when using an HTTP tunnel
- Improved query performance for obtaining a primary key
- Improved detection of the MERGE statement type in the Direct mode
Project details
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