Скачать или смотреть How to Read an Oracle SQL File Using Python and Fetch Results into a CSV File

Discover how to easily read an Oracle SQL file with Python and get the results exported to a CSV file using cx_Oracle. Perfect for beginners!
---
This video is based on the question https://stackoverflow.com/q/67669642/ asked by the user 'swetha reddy' ( https://stackoverflow.com/u/9433688/ ) and on the answer https://stackoverflow.com/a/67764339/ provided by the user 'Barbaros Özhan' ( https://stackoverflow.com/u/5841306/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: read oracle sql file using python and fetch results in to CSV file

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
How to Read an Oracle SQL File Using Python and Fetch Results into a CSV File

Working with data and databases is a common task in programming, and if you're new to using Python, you might find yourself in situations where you need to execute SQL queries and fetch the results. In this guide, we will discuss how to read an Oracle SQL file using Python and export the results into a CSV file. This guide is designed for beginners and will walk you through the entire process in a simple and organized manner.

The Problem Statement

As a beginner in Python, you might have encountered challenges when trying to execute SQL files instead of hardcoding SQL queries directly in your code. In this post, we’ll address these challenges and provide a solution to read SQL statements from a file and execute them against an Oracle database using the cx_Oracle library.

Understanding the Solution

Let’s break down the process into clear steps so you can easily follow along and implement this solution in your own projects.

Step 1: Setting Up Your Environment

Before you can get started, ensure you have the following installed and set up:

Python installed on your machine

The cx_Oracle library, which you can install via pip:

[[See Video to Reveal this Text or Code Snippet]]

Access to an Oracle database

Step 2: Writing the Code

Here’s a breakdown of the core components you will need to read from an SQL file and write the output to a CSV file.

2.1 Import Necessary Libraries

Start by importing the required libraries:

[[See Video to Reveal this Text or Code Snippet]]

2.2 Establish a Database Connection

Connect to your Oracle database using the cx_Oracle library:

[[See Video to Reveal this Text or Code Snippet]]

2.3 Read the SQL File

You want to read the SQL file line by line, especially if your SQL statement spans multiple lines. Below is how you can do that:

[[See Video to Reveal this Text or Code Snippet]]

2.4 Execute the SQL and Write to CSV

Next, execute the SQL command you fetched from the file and write the results to a CSV file:

[[See Video to Reveal this Text or Code Snippet]]

2.5 Close Connections

Finally, make sure you close the cursor and the database connection to free up resources:

[[See Video to Reveal this Text or Code Snippet]]

Complete Code Example

Putting all the above steps together, your complete code should look like this:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

In this post, we walked through a straightforward method to read an SQL file and export the results into a CSV using Python. The combination of cx_Oracle and the built-in csv module in Python allows you to handle your database queries effortlessly. With these steps, you can easily adapt and expand this code to fit your specific requirements. Happy coding!