How to Export Query Output to Excel and CSV in Oracle SQL Developer

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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.

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;

Step 3: Export Your Data

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

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”.

Step 5: Configure the DDL options. 

Check Include Drop Statement, for example.

Select Next.

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.

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.

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.

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

Step 9: Choosing the Required Table. 

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

Select Next.

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.

Step 11: Checking the Export Summary.

Select “Finish.”

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.

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.
• You can migrate these CSV data from Oracle to Snowflake or any other data warehouse of your choice.

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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