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Python for Oracle on ARM Linux | Part 2 - "shell like" SQL scripts
- Python can be a powerful alternative to shell scripting for Oracle DBAs, providing better readability and cross-platform compatibility.
- By using Python's subprocess module, DBAs can automate tasks like running SQL commands, managing script execution, and spooling outputs.
- Key benefits include integration with Python capabilities like data parsing, reporting, and automation frameworks.
- The essential Python module needed for these tasks is subprocess, which allows running programs such as sqlplus.
- Setting up variables like connection string, SQL file path, output file path, and command argument is crucial for the process.
- Subprocess is utilized with shell=True to run the SQL*Plus UNIX command and execute SQL scripts.
- An example SQL script provided in the article demonstrates data retrieval and JSON processing for weather data.
- A Python script 'py_ora.py' is created to run SQL files via SQL*Plus, redirecting outputs to a specified file for review.
- Running 'py_ora.py' in a miniconda environment successfully executes the SQL file and captures the expected outputs.
- The approach showcased emphasizes the use of Python over traditional shell scripting for Oracle DBA tasks, enhancing automation and maintainability.
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