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Quick Start: Developing Python Applications for Oracle Autonomous Database. For this tutorial, you will need Python 3.6 (or later), cx_Oracle 7.3 (or later), and access to Oracle Database. The Advanced Queuing section requires Python cx_Oracle to be using Oracle client libraries 12.2 or later.
in this tutorial, you will learn how to select data from Oracle Database using fetchone(), fetchmany(), and fetchall() methods.
30 Αυγ 2018 · Get a cursor and execute a statement. Once we have a cx_Oracle connection object, we can create a cursor by executing the cursor() function and then execute a statement. To do this, I wrote a function with two parameters: the connection object and the statement text, and this returns the cursor that has been executed in the function:
9 Αυγ 2017 · con = cx_Oracle.connect(your_db_connection_string) cursor = con.cursor() cursor.execute(your_sql_select_statement) results = cursor.fetchall() con.close() Then the variable results should be a list of your results, and then you can do whatever you need with that list.
31 Ιαν 2023 · For example, to execute a SELECT statement, you can use the following code: # Execute a SELECT statement cursor . execute ( 'SELECT * FROM table_name' ) # Fetch the results results = cursor . fetchall () # Loop through the results for row in results : print ( row )
20 Αυγ 2024 · Pipelining is simple in python-oracledb: you add operations such as INSERT and SELECT statements to a “pipeline” object, send that object to the database which processes the statements, and...
cx_Oracle interface provides the Python API to access Oracle Database.</p> <p>If you are new to Python review the <a href="#primer">Appendix: Python Primer</a> to gain an understanding of the language. </p>
