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The Complete Guide to CONCAT in SQL Queries: Syntax, Examples, and Best Practices

intro

Master the SQL CONCAT function with this comprehensive guide to SQL string concatenation techniques.

Tools used in the tutorial
Tool Description Link
Dbvisualizer DBVISUALIZER
TOP RATED DATABASE MANAGEMENT TOOL AND SQL CLIENT

When working with databases, combining text values is a common requirement for data manipulation, reporting, and presentation. The SQL CONCAT function provides a powerful way to merge multiple strings into a single output, enabling everything from simple name formatting to complex dynamic query construction.

This essential database operation allows you to combine multiple text elements into unified data points—a process performed routinely in database management. With how frequently developers need to perform this operation, database systems include dedicated functions like CONCAT to streamline this process efficiently.

In this comprehensive guide, you will learn how to effectively use CONCAT in SQL queries with practical examples.

What Is CONCAT in SQL?

In SQL, CONCAT is a string function that combines two or more strings into a single string. While the basic functionality remains consistent across different DBMS technologies, the syntax and behavior can vary slightly.

In detail, this versatile function allows you to join text from multiple columns and combine fixed text with database values.

Let's look at how you can leverage this SQL operation across various scenarios.

CONCAT in SQL Queries: Syntax Across Major Database Systems

Different database platforms implement concatenation with slight variations:

Common Databases:

The following syntax applies to MySQL, PostgreSQL, and SQL Server:

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1 CONCAT(string1, string2, ..., stringN)

Oracle:

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1 -- Oracle accepts only two arguments 2 CONCAT(string1, string2) 3 4 -- For multiple strings in Oracle, use: 5 CONCAT(CONCAT(string1, string2), string3)

In most database systems, string1, string2, ..., stringN represents a list of string values which are separated by commas.

Note: The CONCAT function must be called with at least one argument (except in Oracle where exactly two arguments are required). Otherwise, your database engine will throw this syntax error:

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1 Incorrect parameter count in the call to native function 'CONCAT'

First Example

The CONCAT function produces a combined string by joining all provided arguments together. To illustrate this functionality, let’s look at the following query example:

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1 -- Works in: MySQL, PostgreSQL, SQL Server 2 SELECT CONCAT('Okay', ', ', 'Awesome!'); 3 4 -- Oracle version (using || operator for multiple strings) 5 SELECT 'Okay' || ', ' || 'Awesome!' FROM dual;

You will have:

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1 "Okay, Awesome!"
Using the CONCAT technique in DbVisualizer
Using the CONCAT technique in DbVisualizer

Notes:

When using string concatenation functions, you must keep in mind these DBMS-specific behaviors:

PostgreSQL:

  • CONCAT treats NULL values as empty strings
  • It produces nonbinary string results when all inputs are nonbinary strings
  • When any binary strings are included, the output becomes a binary string

MySQL:

  • CONCAT treats NULL values as empty strings
  • Returns NULL only if all arguments are NULL
  • Automatically converts numeric values to their text representation

SQL Server:

  • CONCAT treats NULL values as empty string
  • Implicit type conversion happens, but can cause errors with certain data types

Oracle:

  • CONCAT function treats NULL values as empty strings
  • Remember CONCAT only takes two arguments

Time to look at some examples!

Basic Examples of CONCAT in SQL Queries

Let's start with some simple examples.

Note: All queries below are going to be executed in DbVisualizer—the database client with the highest user satisfaction in the world. Any other database client will do.

Example #1: Basic String Joining

Use the standard CONCAT function for common scenarios as below:

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1 SELECT CONCAT('Hello', ' ', 'World') AS greeting;
Basic string joining in DbVisualizer
Basic string joining in DbVisualizer

Example #2: Combining Column Values

Imagine we have a customers table with separate first_name and last_name columns:

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1 CREATE TABLE reporters ( 2 reporter_id INT PRIMARY KEY, 3 first_name VARCHAR(50), 4 last_name VARCHAR(50), 5 email VARCHAR(100) 6 ); 7 8 INSERT INTO customers VALUES 9 (1, 'Timo', 'Cruz', 'teecruz001@gmail.com'), 10 (2, 'Junior', 'Butler', 'j.butler_1@gmail.com'), 11 (3, 'Kenyon', 'Guard', 'k.guard@gmail.com');

To create full names, we are going to concatenate these columns as shown:

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1 SELECT CONCAT(first_name, ' ', last_name) AS full_name 2 FROM reporters;
Combining column values in DbVisualizer
Combining column values in DbVisualizer

Example #3: Creating Formatted Outputs

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1 SELECT 2 CONCAT(first_name, ' ', last_name, ' <', email, '>') AS formatted_contact 3 FROM 4 reporters;
Creating formatted outputs in DbVisualizer
Creating formatted outputs in DbVisualizer

Handling NULL Values with CONCAT

One important consideration when using CONCAT is how it handles NULL values. Different database systems handle NULL values in string concatenation differently:

  • MySQL and PostgreSQL: CONCAT function treats NULL values as empty strings
  • SQL Server: CONCAT function treats NULL values as empty strings
  • Oracle: The CONCAT function treats NULL values as empty strings

CONCAT in SQL Queries: Use Cases

Time to look at some of the most common CONCAT string joining cases.

Column Concatenation

Using CONCAT to combine values from several columns into a single output is its most popular use case.

Assume, for instance, that you have a table called reporters with the columns first_name and last_name and you want to combine both names into a complete name, you are going to approach it this way:

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1 SELECT 2 first_name, 3 last_name, 4 CONCAT(first_name, ' ', last_name) AS full_name 5 FROM 6 reporters;
Column concatenation in DbVisualizer
Column concatenation in DbVisualizer

Great. It can be seen that the  full_name column in the output shown in DbVisualizer above is the concatenation of first_name and last_name as expected.

URL Construction using CONCAT

Another importance of the CONCAT function is particularly in the use of the construction of dynamic URLs from database values.

A dynamic URL is simply a URL of a web page dynamically generated from the database records.

To practice how this works, copy the following SQL code and execute it in the SQL commander in DbVisualizer:

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1 -- Create the products table with necessary columns 2 -- This syntax works across most major DBMS 3 CREATE TABLE products ( 4 product_id INT PRIMARY KEY, 5 product_name VARCHAR(100) NOT NULL, 6 category VARCHAR(50) NOT NULL, 7 slug VARCHAR(100) NOT NULL, 8 price DECIMAL(10,2), 9 stock INT 10 ); 11 12 -- Insert sample product data 13 INSERT INTO products (product_id, product_name, category, slug, price, stock) VALUES 14 (101, 'Ergonomic Chair', 'furniture', 'ergonomic-chair', 299.99, 45), 15 (102, 'Wireless Mouse', 'electronics', 'wireless-mouse', 49.99, 120), 16 (103, 'Coffee Maker', 'appliances', 'coffee-maker', 89.99, 35); 17 18 -- URL construction query - MySQL, PostgreSQL, SQL Server version 19 SELECT 20 product_id, 21 product_name, 22 category, 23 CONCAT('https://example.com/products/', category, '/', product_id, '-', slug) AS product_url 24 FROM 25 products;

Let’s see the output in DbVisualizer:

URL construction in DbVisualizer
URL construction in DbVisualizer

Amazing! This technique allows developers to generate SEO-friendly URLs directly from database queries. The aim? To ensure there is consistency between database records and web addresses.

Conclusion

Throughout this comprehensive guide, we've learned the capabilities of SQL's CONCAT function—a fundamental yet sophisticated tool that transforms how data professionals manipulate and present information. From basic string joining to complex conditional formatting, CONCAT serves as the bridge between raw database values and meaningful human-readable content.

To truly experience the power of SQL string concatenation, a sophisticated visual database tool is invaluable. DbVisualizer stands out as the premier solution, providing the right tool that accelerates development through its drag-and-drop query building, advanced query optimization capabilities, and in-line data editing functionality. With comprehensive support for PostgreSQL, MySQL, Oracle, and virtually any other database system, DbVisualizer empowers you to implement these CONCAT techniques effortlessly across your entire data ecosystem.

Download DbVisualizer for free and experience firsthand how the right combination of SQL knowledge and professional tools can transform your approach to data management and presentation.

FAQ

What is the CONCAT function in SQL?

The CONCAT function in SQL combines two or more strings into a single string, allowing you to join text values from different columns or literal values.

How do I add a space between values when using SQL CONCAT?

To add a space between values in SQL CONCAT, include a space character as a separate argument:

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1 CONCAT(first_name, ' ', last_name)

What's the difference between CONCAT and CONCAT_WS in SQL?

CONCAT combines strings with separately specified separators, while CONCAT_WS (With Separator) applies a single separator between all values:

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1 -- With CONCAT, you need to specify each separator 2 CONCAT(first_name, ' ', middle_name, ' ', last_name) 3 4 -- With CONCAT_WS, you specify the separator once (available in MySQL and PostgreSQL) 5 CONCAT_WS(' ', first_name, middle_name, last_name)

Is there a limit to how many strings I can join with SQL CONCAT?

Most database systems allow numerous arguments in CONCAT:

  • MySQL allows up to 100+ arguments
  • SQL Server has no documented limit for practical use
  • PostgreSQL has no documented limit for practical use
  • Oracle's CONCAT only accepts exactly two arguments, requiring nested calls or the || operator for more

What are the performance implications of using CONCAT in SQL queries?

While CONCAT operations are generally efficient, there are some performance considerations:

  • String concatenation can be memory-intensive for large datasets
  • Nested CONCAT operations (especially in Oracle) can impact query performance
  • When concatenating within a WHERE clause, it may prevent index usage
  • For high-volume applications, consider moving your concatenation logic to the application layer when possible.
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About the author
Leslie S. Gyamfi.
Leslie S. Gyamfi
Leslie Gyamfi is a mobile/web app developer with a passion for creating innovative solutions. He is dedicated to delivering high-quality products and technical articles. You can connect with him on LinkedIn
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