How to Efficiently Import Data from Excel to PL/SQL Developer

Discover step-by-step methods to `import data from Excel into PL/SQL Developer` effectively. Follow our guide for seamless data integration!
---

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: How to import data from Excel to PL/SQL Developer

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
How to Efficiently Import Data from Excel to PL/SQL Developer

In today's data-driven world, the need to compare and manipulate data from various sources is more critical than ever. One common scenario is when users need to analyze data from Excel sheets alongside tables in Oracle databases using PL/SQL Developer. If you're grappling with how to effectively import data from Excel to PL/SQL Developer, you’re in the right place! In this post, we’ll provide you with two straightforward methods to get the job done. Let’s dive in!

Method 1: Copying Data Directly into PL/SQL Developer

This method is ideal for users who want to take a hands-on approach by manually copying data from Excel. Follow these steps to import your data successfully:

Step 1: Create a Test Table

Before importing, ensure you have a test table created in your Oracle database.

The table should have the same number of columns and matching data types as your Excel data. This ensures compatibility and minimizes errors during transfer.

Step 2: Open the Test Table

Launch PL/SQL Developer and access your test table in edit mode.

You can achieve this by executing a SELECT statement that includes the rowid for the table or a SELECT FOR UPDATE command. For example:

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

Step 3: Lock the Records for Editing

After executing your query, look for the lock icon. Click on it to lock the row and allow edits. This action will enable you to modify the fetched records.

Step 4: Copy Data from Excel

Now, open your Excel file, highlight the data range you want to import, and copy it (CTRL+C).

Before pasting, remember to insert an empty column at the start of your data in Excel. This empty column serves as a placeholder for the serial number that PL/SQL Developer will automatically add when you paste data into the SQL result grid.

Step 5: Paste Data into PL/SQL Developer

In PL/SQL Developer, select the first empty column in the SQL result grid and paste your copied data (CTRL+V).

After pasting, you’re almost done! Click the green tick icon to commit the changes and save the data to your database.

Method 2: Using Excel to Generate INSERT Statements

For users who prefer a more automated approach, you can use Excel to create INSERT statements that can be executed directly in PL/SQL Developer.

Step 1: Prepare Your Data

Organize your data in Excel in a way that each row corresponds to a record you wish to insert into the Oracle table.

Step 2: Concatenate to Formulate the INSERT Queries

In a new cell, utilize Excel’s concatenation feature to construct your INSERT statements. For instance, if you are inserting values into a table called test, your formula would look something like this:

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

Drag the fill handle down to apply this formula to all rows corresponding to your data.

Step 3: Execute the INSERT Queries

Copy all the generated INSERT statements from Excel and paste them into PL/SQL Developer's SQL window and execute them to insert the data into your database.

Conclusion

Both methods outlined above provide effective means of importing data from Excel to PL/SQL Developer, allowing you to enhance your data analysis capabilities. Depending on your familiarity with SQL and personal preferences, choose the method that best fits your needs.

Incorporating Excel data into your Oracle database doesn't have to be complicated. With a clear understanding and the right steps, you can streamline the process, paving the way for more efficient data analysis and decision-making.

Happy importing!