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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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