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SQL Developer by Oracle is one of the most popular free, integrated development environments for working with Oracle databases. It provides a versatile GUI with features that simplify your database development processes including editing and executing SQL and PL/SQL statements.

While querying data in SQL Developer’s worksheet interface gives flexibility, analysts and developers often also need to export result sets to formats like Excel and CSV for additional data manipulation, analysis with other tools, or sharing with non-technical folks.

Steps For Oracle SQL Developer Export To Excel & CSV

In this section, we will be providing you with an easy to understand step-by-step guide on how to export Oracle SQL query results to Excel.

NOTE: To ensure a smooth Oracle SQL export to Excel, ensure you have the necessary database permissions.

The steps involved in creating an Excel and CSV file from the data in Oracle SQL

Step 1: Connect Your Database

Connect to your database in Oracle SQL Developer by using the correct database credentials. This database contains the data that needs to be exported to an Excel or CSV file.

Oracle SQL developer export to excel: Oracle SQL Developer home
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Step 2: Run Your Query

Write the following command in the SQL worksheet and execute it by clicking the run button on the top left corner of the worksheet. You can also use any other query to get your desired output.

SELECT * FROM ACCOUNTS;
Oracle SQL developer export to excel: Run Query

Step 3: Export Your Data

Right-click on the query result and select Export from the drop-down menu.

Oracle SQL developer export to excel: Oracle SQL Developer Export

Step 4: Select Your Desired Format

In the Export Wizard, select “Excel 2003+ (xlsx)” for Excel versions above 2003 or “Excel 95-2003 (xls)” for Excel versions between 95 and 2003 or “CSV” in the format, and then determine your destination location. Click “Next” and then “Finish”.

Oracle SQL developer export to excel: Oracle SQL Export Wizard

Step 5: Configure the DDL options. 

Check Include Drop Statement, for example.

Select Next.

Oracle SQL Developer Export to Excel

Step 6: Choosing Object Types to Export

You can choose which Object Types to export in this stage. For every type of object, we shall use the default.

Select Next.

Oracle SQL Developer Export to Excel

Step 7: Choosing Items to Export

You can choose which items to export in this phase. You have the option to set a limitation criterion and delay clicking Go until after you have queried all items. After entering D%, click Proceed.

Oracle SQL Developer Export to Excel

Step 8: Restricting the list of choices

You can restrict the list of choices further by using the drop list on the right. Select Table from the list of object types.

Oracle SQL Developer Export to Excel

Select “Go.” Tables beginning with “D” are now displayed in the list.

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Step 9: Choosing the Required Table. 

After choosing the Departments table, move to the panel on the right.

Select Next.

Oracle SQL Developer Export to Excel

Step 10: Selecting the Table before export. 

You can choose which data to export in this phase. A list of tables will appear once you click Go. Departments shuttled to the right panel.

Select Next.

Oracle SQL Developer Export to Excel

Step 11: Checking the Export Summary.

Select “Finish.”

Oracle SQL Developer Export to Excel

Step 12: Checking the Imported file. 

Go to the main menu, pick View -> Files, and open the Files Navigator tab to inspect the produced file. From your file directory, choose the newly created file exportDept.sql. A SQL Worksheet will open when the sql file is opened.

Oracle SQL Developer Export to Excel

Step 13: Use Your Data In The Desired Format

Finally, you can go to your destination location and open the exported data in the specified format.

Note: When you export Oracle SQL query to Excel, the output can be either in XLSX or CSV format, depending on your needs.

What do you achieve by Oracle SQL Developer Export to Excel and CSV?

  • You can obtain the results of your SQL query in Excel, making it easy for data visualization.
  • Easily share the output of your query with colleagues who may not have access to SQL Developer.
  • Export large query result sets that might be difficult to analyze in SQL Developer’s grid view. Excel handles large data sets more easily with features like filters, conditional formatting, etc.
  • Save the output of ad hoc queries for future reference, analysis, and reporting. The Excel file allows you to revisit the query output instead of having to rerun queries.
  • Customize and format the query output for presentation and reporting. Excel provides formatting options like charts, pivots, cell formatting, etc. that can make the data more insightful and readable.

For advanced data requirements like real-time data ingestion or Business Critical? Contact Sales for quick chat on Oracle SQL Developer export to Excel and CSV format

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Conclusion

  1. You have learned the process of Oracle SQL Developer export to Excel and CSV format.
  2. The data that you have exported is usually needed for backup or to transfer that data to another database or a data warehouse.
  3. Extracting complex data from a diverse set of data sources can be a challenging task, and this is where Hevo saves the day!
  4. Explore how to export your SQL*Plus data to a CSV file for efficient data management and integration with other tools.
  5. Find out how to convert MongoDB data to Excel for better data visualization and reporting. Our resource provides simple steps for effective data export.

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Oshi Varma
Technical Content Writer, Hevo Data

Oshi is a technical content writer with expertise in the field for over three years. She is driven by a problem-solving ethos and guided by analytical thinking. Specializing in data integration and analysis, she crafts meticulously researched content that uncovers insights and provides valuable solutions and actionable information to help organizations navigate and thrive in the complex world of data.

Monica Patel
Customer Experience Engineer, Hevo Data

Monica Patel is an expert in Ads connectors and has strong technical skills in Python and SQL. At Hevo, she excels in developing customized solutions and providing exceptional client support. As a Knowledge Base (KB) lead in the Support team, Monica has played a pivotal role in creating and optimizing Standard Operating Procedures (SOPs) and knowledge bases. Her work has significantly improved troubleshooting efficiency and client satisfaction, showcasing her expertise in technical and support domains.