How to access Oracle from Python?

How to access Oracle from Python?

To access an Oracle database from Python, you can use the cx_Oracle library, which is a Python extension module that enables Python programs to access Oracle databases. Here's how you can connect to an Oracle database, execute SQL queries, and fetch results in Python:

  1. Install cx_Oracle: First, you need to install the cx_Oracle library if you haven't already. You can install it using pip:

    pip install cx_Oracle

  2. Import cx_Oracle and establish a connection: Import the cx_Oracle module and use it to establish a connection to your Oracle database. You'll need to provide the connection details, such as the username, password, and database URL (DSN):

    import cx_Oracle # Connection details username = "your_username" password = "your_password" dsn = "your_database_DSN" # e.g., localhost:1521/orcl # Establish a connection connection = cx_Oracle.connect(username, password, dsn)

  3. Create a cursor: After establishing a connection, create a cursor object to execute SQL statements:

    cursor = connection.cursor()

  4. Execute SQL queries: You can now execute SQL queries using the cursor. For example, to fetch data from a table:

    # Execute a SELECT statement cursor.execute("SELECT * FROM your_table") # Fetch all rows rows = cursor.fetchall() # Process the rows for row in rows: print(row)

  5. Commit and close the connection: After executing your queries, it's essential to commit the changes if you've performed any data modifications (e.g., INSERT, UPDATE, DELETE). Finally, close the cursor and the database connection:

    # Commit any changes (if needed) connection.commit() # Close the cursor and the connection cursor.close() connection.close()

Make sure to replace your_username, your_password, your_database_DSN, and your_table with the appropriate values for your Oracle database.

With cx_Oracle, you can perform various database operations, such as executing queries, fetching data, and even executing stored procedures, making it a powerful tool for working with Oracle databases in Python.

Examples

  1. How to access Oracle database from Python using cx_Oracle?

    • Description: This query seeks information on accessing an Oracle database from Python using cx_Oracle, a Python extension module that enables Python scripts to access Oracle databases.
    • Code:
      import cx_Oracle # Establish connection to Oracle database connection = cx_Oracle.connect('username/password@hostname:port/service_name') # Create cursor cursor = connection.cursor() # Execute SQL query cursor.execute('SELECT * FROM table_name') # Fetch results for row in cursor: print(row) # Close cursor and connection cursor.close() connection.close()

  2. How to access Oracle database from Python using SQLAlchemy?

    • Description: This query focuses on accessing an Oracle database from Python using SQLAlchemy, a popular SQL toolkit and Object-Relational Mapping (ORM) library.
    • Code:
      from sqlalchemy import create_engine # Create SQLAlchemy engine engine = create_engine('oracle://username:password@hostname:port/service_name') # Execute SQL query result = engine.execute('SELECT * FROM table_name') # Fetch and print results for row in result: print(row)

  3. How to access Oracle database from Python using Oracle's Instant Client?

    • Description: This query seeks information on accessing an Oracle database from Python using Oracle's Instant Client, which provides libraries and tools for connecting to Oracle databases.
    • Code:
      import cx_Oracle # Set Oracle Instant Client directory cx_Oracle.init_oracle_client(lib_dir='/path/to/oracle/instantclient') # Establish connection to Oracle database connection = cx_Oracle.connect('username/password@hostname:port/service_name') # Create cursor cursor = connection.cursor() # Execute SQL query cursor.execute('SELECT * FROM table_name') # Fetch results for row in cursor: print(row) # Close cursor and connection cursor.close() connection.close()

  4. How to access Oracle database from Python using ODBC?

    • Description: This query focuses on accessing an Oracle database from Python using the Python ODBC library, enabling connectivity via an ODBC driver.
    • Code:
      import pyodbc # Establish connection to Oracle database using ODBC connection = pyodbc.connect('DRIVER={Oracle ODBC Driver};' 'SERVER=hostname:port/service_name;' 'UID=username;PWD=password') # Create cursor cursor = connection.cursor() # Execute SQL query cursor.execute('SELECT * FROM table_name') # Fetch results rows = cursor.fetchall() # Process results for row in rows: print(row) # Close cursor and connection cursor.close() connection.close()

  5. How to access Oracle database from Python using Oracle's cx_oracle module with SSL?

    • Description: This query explores accessing an Oracle database from Python using cx_Oracle module with SSL encryption for secure communication.
    • Code:
      import cx_Oracle # Establish connection to Oracle database with SSL connection = cx_Oracle.connect('username/password@hostname:port/service_name', encoding='UTF-8', ssl_version=cx_Oracle.SSL_VERSION_3) # Create cursor cursor = connection.cursor() # Execute SQL query cursor.execute('SELECT * FROM table_name') # Fetch results for row in cursor: print(row) # Close cursor and connection cursor.close() connection.close()

  6. How to access Oracle database from Python using Pandas?

    • Description: This query seeks information on accessing an Oracle database from Python using Pandas library, a powerful data manipulation tool.
    • Code:
      import pandas as pd from sqlalchemy import create_engine # Create SQLAlchemy engine engine = create_engine('oracle://username:password@hostname:port/service_name') # Execute SQL query and load results into DataFrame df = pd.read_sql('SELECT * FROM table_name', engine) # Display DataFrame print(df)

  7. How to access Oracle database from Python using Oracle's SQL*Plus?

    • Description: This query explores accessing an Oracle database from Python using Oracle's SQL*Plus, a command-line tool for executing SQL queries.
    • Code:
      import subprocess # Execute SQL query using SQL*Plus sql_query = "SELECT * FROM table_name" command = ["sqlplus", "-s", "username/password@hostname:port/service_name", "<< EOF\n" + sql_query + "\nEOF"] result = subprocess.run(command, capture_output=True, text=True) # Print query result print(result.stdout)

  8. How to access Oracle database from Python using Oracle's Instant Client with Wallet?

    • Description: This query seeks information on accessing an Oracle database from Python using Oracle's Instant Client with Wallet for secure authentication and connection.
    • Code:
      import cx_Oracle # Set Oracle Instant Client directory with Wallet cx_Oracle.init_oracle_client(lib_dir='/path/to/oracle/instantclient', wallet_dir='/path/to/wallet') # Establish connection to Oracle database connection = cx_Oracle.connect('username/password@hostname:port/service_name') # Create cursor cursor = connection.cursor() # Execute SQL query cursor.execute('SELECT * FROM table_name') # Fetch results for row in cursor: print(row) # Close cursor and connection cursor.close() connection.close()

  9. How to access Oracle database from Python using Oracle's cx_oracle module with TNS entry?

    • Description: This query explores accessing an Oracle database from Python using cx_Oracle module with a TNS (Transparent Network Substrate) entry for connection.
    • Code:
      import cx_Oracle # Establish connection to Oracle database with TNS entry connection = cx_Oracle.connect('username/password@tns_entry') # Create cursor cursor = connection.cursor() # Execute SQL query cursor.execute('SELECT * FROM table_name') # Fetch results for row in cursor: print(row) # Close cursor and connection cursor.close() connection.close()

  10. How to access Oracle database from Python using Oracle's Instant Client with LDAP authentication?

    • Description: This query seeks information on accessing an Oracle database from Python using Oracle's Instant Client with LDAP (Lightweight Directory Access Protocol) authentication for centralized authentication management.
    • Code:
      import cx_Oracle # Set Oracle Instant Client directory with LDAP authentication cx_Oracle.init_oracle_client(lib_dir='/path/to/oracle/instantclient', ldap_admin='CN=Admin', ldap_password='password') # Establish connection to Oracle database connection = cx_Oracle.connect('username/password@hostname:port/service_name') # Create cursor cursor = connection.cursor() # Execute SQL query cursor.execute('SELECT * FROM table_name') # Fetch results for row in cursor: print(row) # Close cursor and connection cursor.close() connection.close()

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