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A step-by-step guide on inserting data from a CSV file stored on your Windows C: drive into an Oracle 11g database using SQL Loader. --- This video is based on the question https://stackoverflow.com/q/67193562/ asked by the user 'Roger' ( https://stackoverflow.com/u/9720400/ ) and on the answer https://stackoverflow.com/a/67193722/ provided by the user 'Littlefoot' ( https://stackoverflow.com/u/9097906/ ) 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: insert data from .csv file from windows C: drive into oracle11g database 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 Insert CSV Data into Oracle 11g Database Using SQL Loader Are you new to database management and wondering how to efficiently insert data from a CSV file into an Oracle 11g database? If you have a CSV file located on your Windows C: drive and want to import its data, you're in the right place. In this guide, we will guide you through the process of using SQL Loader to achieve this. Understanding the Basics Before we dive into the steps, let’s briefly explain what SQL Loader is. SQL Loader is a utility provided by Oracle that enables you to load data from external files (like CSVs) into your Oracle database tables. What You Need To get started, ensure you have the following: Oracle Database 11g installed Access to SQL*Plus A CSV file (e.g., my_data.csv) that contains your data A control file (which we will create) to guide SQL Loader on how to process your CSV file Step 1: Create a Target Table First, you need to create the target table in your Oracle database if it does not already exist. This table will hold the data you are importing. Example SQL to Create a Table Open SQL*Plus and execute the following commands: [[See Video to Reveal this Text or Code Snippet]] After executing the SQL command, you should see a message indicating that the table has been created successfully. Step 2: Prepare Your CSV File Next, prepare your CSV file. Below is a simple example of what your CSV might look like, named my_data.csv: [[See Video to Reveal this Text or Code Snippet]] Make sure this file is stored at the root of your C: drive or wherever you prefer. Step 3: Create a Control File The control file tells SQL Loader how to read the CSV file and where to insert the data. Create a new file named test37.ctl and include the following lines: [[See Video to Reveal this Text or Code Snippet]] Ensure you save this control file in a location that SQL Loader can access. Step 4: Run SQL Loader Now that you have your table and control file ready, it’s time to execute SQL Loader. Open your command prompt and run the following command: [[See Video to Reveal this Text or Code Snippet]] This command will instruct SQL Loader to read the control file and load data from your CSV file into the specified table. Check the Output The terminal will provide feedback on how many records were successfully loaded. Step 5: Verify the Data Import To ensure that your data has been imported correctly, you can run a simple SQL query: [[See Video to Reveal this Text or Code Snippet]] You should see the records from your CSV file displayed in the output. Conclusion With these straightforward steps, you can now efficiently import data from a CSV file into your Oracle 11g database using SQL Loader. This method is particularly helpful for those new to SQL and database administration. If you encounter any issues or have questions, feel free to reach out for assistance! By following this guide, you have equipped yourself with a crucial skill that will be beneficial in managing your databases effectively.