SQLforGeeks
  • Home
  • SQL
  • SQL Tutorial
  • SQL Syntax
  • Our Services
Contact
  1. SQL
  2. UNION ALL clause

Text copied!

« Previous
Next »

UNION ALL clause

May 13, 2023, 7:58 p.m. under SQL

  • Hi! You should check UNION clause post first.

    SQL clause is the specific part of a SQL statement which is used to perform various operations. It can be combined to create more complex queries to retrieve and manipulate data.

    UNION ALL clause :

    UNION ALL clause is used to combine/merge the result of multiple SELECT statements into a single result by keeping duplicate rows.

    While using UNION ALL clause, ensure that column_name(s) and their data types should be in the same order across all SELECT statements.

    The syntax of the UNION ALL clause generally looks like this :
    SELECT column_name(s)
    FROM table1
    UNION ALL
    SELECT column_name(s)
    FROM table2;
            

    • Specify the column(s) name after the 'SELECT' keyword.

    • Specify Asterisk (*) symbol to selects all columns from the table after the 'SELECT' keyword.

    • Specify the table name after the 'FROM' keyword.

    • 'table1' and 'table2' refer to the two tables being merged together.

    • 'UNION ALL' keyword combines the result set of multiple SELECT statements into a single result by keeping duplicate rows.

    Here's an example of how you might use the UNION ALL clause :

    Let's suppose we have two tables :

    [a] Employees Table :

    → It contains columns [Employee_Id], [Employee_Name], [Gender] and [Salary].

    [b] Employees_2 Table :

    → It contains all columns same as '[Employees] table' with same data types and order. Except '[Age]' column.

    UNION ALL clause

    1. Please ensure that each column_name(s) and their data types are in the same order across all SELECT statements.

    For example, let's see what happens if we run the below statement :

    SELECT *
    FROM [Employees]
    UNION ALL
    SELECT *
    FROM [Employees_2];
            
    UNION ALL clause

    An error is thrown indicating that while performing 'UNION ALL' operation, number of columns must be the same in all SELECT statements.

    The error occurred because we specified 'Asterisk' (*) symbol that selects all columns from the table where [Employees_2] table contains '[Age]' column which is absent in [Employees] table. Therefore, we need to specify column_name(s) explicitly in all SELECT statements.

    2. Please run the following SQL statement :

    SELECT Employee_Id, Employee_Name, Gender, Salary
    FROM [Employees]
    UNION ALL
    SELECT Employee_Id, Employee_Name, Gender, Salary
    FROM [Employees_2];
            

    3. Above statement merges the result sets of both employee tables into a single result set for all selected columns. It doesn't eliminate duplicate rows. Hence all 7 rows are returned.

    UNION ALL clause

    That's it! You have successfully merged data using 'UNION ALL' clause.

    Frequently Asked Questions :

    What is the UNION all clause in SQL?

    The UNION ALL clause in SQL combines the results of two or more SELECT statements, including duplicate rows.

    Is it good to use UNION all in SQL?

    Using UNION ALL in SQL can be beneficial for combining results from multiple queries if you need to include duplicate rows.

    Can we use WHERE clause in UNION?

    Yes, you can use the WHERE clause in a UNION query to filter the results based on specified conditions.

    Does UNION all remove duplicates?

    No, UNION ALL does not remove duplicates; it includes all rows from the combined result sets, even if there are duplicates.
    Thank You! You should check TOP clause post next.
    « Previous
    Next »
    RELATED :

    What is SQL

    What is T-SQL

    Difference between DBMS and Data Warehouse

    Download SQL Server

    Install SQL Server

    Download SQL Server Management Studio SSMS

    SQL Server Management Studio

    SQL Database

    Download database

    Restore database

    Backup database

    Attach database

    Detach database

    Create database

    Delete database

    Rename database

    Select database

    Database offline

    Database online

    SQL Commands

    SQL Tables

    Create table

    Truncate table

    Delete table

    Rename table

    Select table

    Alter table

    SQL Data Types

    SQL Comments

    SQL Constraints

    SQL Joins

    SQL inner join

    SQL left join

    SQL right join

    SQL full join

    SQL cross join

    SQL self join

    INSERT INTO SELECT statement

    INSERT INTO statement

    SQL Clauses

    SELECT clause

    FROM clause

    WHERE clause

    GROUP BY clause

    HAVING clause

    ORDER BY clause

    JOIN clause

    UNION clause

    TOP clause

    DISTINCT clause

    SQL Operators

    SQL Arithmetic operators

    SQL Comparison operators

    SQL Logical operators

    UNION operator

    UNION ALL operator

    INTERSECT operator

    EXCEPT operator

    LIKE operator

    NOT LIKE operator

    IN operator

    NOT IN operator

    IS NULL operator

    IS NOT NULL operator

    EXISTS operator

    NOT EXISTS operator

    BETWEEN operator

    NOT BETWEEN operator

    SQL Functions

    SQL Built-In functions

    CHARINDEX function

    DATEADD function

    CONCAT function

    LEN function

    REPLACE function

    SUBSTRING function

    CASE statement

    GETDATE function

    DATEPART function

    DATEDIFF function

    CAST function

    TRY_CAST function

    CONVERT function

    TRY_CONVERT function

    ISNULL function

    NULLIF function

    COALESCE function

    SQL Window functions

    ROW_NUMBER function

    RANK function

    DENSE_RANK function

    IIF function

    CHOOSE function

    SQL Store Procedure

    Store Procedure vs. Function

    SQL Subquery

    SQL Aliases

    Temp table

    SQL Error Handling

    SQL Variables

    SQL Views

    SQL Merge

    SQL CTE

    SQL WITH TIES

    Define Transaction in DBMS

    ACID properties in DBMS

    Types of Triggers in DBMS


    • Have Some Questions?
    logo

    Elevate your data experience with SQL excellence

    Quick Links
    •  Home
    •  SQL Tutorial
    •  SQL Syntax
    •  Our Services
    Our Services
    • Web Development
    • BI Development
    • Data Warehousing
    • Data Integration ETL


    Follow Us

    GST Registered: XXAXXXXXXXZX
    Mumbai, Maharashtra, India support@sqlforgeeks.com

    © 2025 Copyright™ | All Rights Reserved | Privacy Policy