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  1. 17 Ιουν 2019 · You can use pandas.read_json method with iteration over list converted values through dataframe: import pandas as pd import cx_Oracle con = cx_Oracle.connect(connectString) cursor = con.cursor() custom_dictionary= '[{"ID":2, "Price": 7.95, "Type": "Sports"}]' df = pd.read_json(custom_dictionary) statement='insert into cx_people values(:1,:2,:3 ...

  2. in this tutorial, you will learn how to use the Python cx_Oracle API to insert data into a table from an Oracle Database.

  3. The mapping between Python and Oracle objects is handled in SDOInConverter which uses the python-oracledb newobject() and extend() methods to create an Oracle object from the Python object values.

  4. Python driver for Oracle Database conforming to the Python DB API 2.0 specification. This is the renamed, new major release of cx_Oracle - oracle/python-oracledb

  5. 27 Απρ 2018 · This article shows how batch statement execution in the Python cx_Oracle interface for Oracle Database can significantly improve performance and make working with large data sets easy. In many cx_Oracle applications, executing SQL and PL/SQL statements using the method cursor.execute() is perfect.

  6. This tutorial shows you how to use the Oracle INSERT INTO SELECT statement to insert data into a table from the result of a SELECT statement.

  7. The mapping between Python and Oracle objects is handled in SDOInConverter which uses the cx_Oracle newobject() and extend() methods to create an Oracle object from the Python object values.

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