SQL Server SELECT into existing table

💡 Title: Insert Multiple Rows from One Table to Another in SQL Server

🔍 Introduction: Do you find yourself trying to insert multiple rows from one table to an existing table in SQL Server, only to encounter errors like "Table Already Exists"? Don't worry, we've got you covered! In this blog post, we will address this common issue and provide you with easy solutions to help you achieve your goal seamlessly. So buckle up, and let's dive right in!

⚙️ Problem: "Table Already Exists" The error you encountered when using the SELECT ... INTO ... statement indicates that the destination table (dbo.TableTwo) already exists. This statement is typically used for creating temporary tables on the fly, but it's not suitable for inserting rows into an existing table.

✅ Solution: Using the INSERT INTO Statement To insert multiple rows from dbo.TableOne into dbo.TableTwo, we can utilize the INSERT INTO statement. Here's a modified version of your query that accomplishes the desired outcome:

INSERT INTO dbo.TableTwo (col1, col2)
SELECT col1, col2
FROM dbo.TableOne
WHERE col3 LIKE @search_key

In this query, we explicitly specify the destination table (dbo.TableTwo) and the columns (col1 and col2) we want to insert data into. The SELECT statement retrieves the desired rows from dbo.TableOne based on specific conditions. Voila! Your rows are seamlessly inserted into dbo.TableTwo.

📝 Additional Tips:

• Make sure the columns you're inserting data into match the schema of the destination table.

• If the destination table already contains data, the new rows will be appended to the existing data.

🔔 Call-to-Action: Share Your Experience! Have you encountered any other challenges while working with SQL Server? Share your experiences and let the community learn from your triumphs and struggles. Leave a comment below to join the discussion!

✨ Conclusion: Inserting multiple rows from one table to another in SQL Server doesn't have to be intimidating. By utilizing the INSERT INTO statement, you can seamlessly accomplish this task without encountering any errors. Remember to double-check the column names and schema compatibility. We hope this guide has been helpful, and we look forward to hearing about your SQL adventures. Happy coding! 😄