SQL UNION Operator
The SQL UNION operator combines two or more SELECT statements.
The SQL UNION Operator
The UNION operator is used to combine the result-set of two or more SELECT statements.
Notice that each SELECT statement within the UNION must have the same number of columns. The columns must also have similar data types. Also, the columns in each SELECT statement must be in the same order.
combine multiple datasets into one comprehensive dataset by using the UNION or UNION ALL operators. these commands join multiple datasets that have similar structures into one combined dataset.
SQL UNION Syntax
SELECT column_name(s) FROM table_name1 UNION SELECT column_name(s) FROM table_name2 |
Note: The UNION operator selects only distinct values by default. To allow duplicate values, use UNION ALL.
SQL UNION ALL Syntax
SELECT column_name(s) FROM table_name1 UNION ALL SELECT column_name(s) FROM table_name2 |
PS: The column names in the result-set of a UNION are always equal to the column names in the first SELECT statement in the UNION.
SQL UNION Example
Look at the following tables:
"Employees_Norway":
E_ID | E_Name |
01 | Hansen, Ola |
02 | Svendson, Tove |
03 | Svendson, Stephen |
04 | Pettersen, Kari |
"Employees_USA":
E_ID | E_Name |
01 | Turner, Sally |
02 | Kent, Clark |
03 | Svendson, Stephen |
04 | Scott, Stephen |
Now we want to list all the different employees in Norway and USA.
We use the following SELECT statement:
SELECT E_Name FROM Employees_Norway UNION SELECT E_Name FROM Employees_USA |
The result-set will look like this:
E_Name |
Hansen, Ola |
Svendson, Tove |
Svendson, Stephen |
Pettersen, Kari |
Turner, Sally |
Kent, Clark |
Scott, Stephen |
Note: This command cannot be used to list all employees in Norway and USA. In the example above we have two employees with equal names, and only one of them will be listed. The UNION command selects only distinct values.
SQL UNION ALL Example
Now we want to list all employees in Norway and USA:
SELECT E_Name FROM Employees_Norway UNION ALL SELECT E_Name FROM Employees_USA |
Result
E_Name |
Hansen, Ola |
Svendson, Tove |
Svendson, Stephen |
Pettersen, Kari |
Turner, Sally |
Kent, Clark |
Svendson, Stephen |
Scott, Stephen |
Difference between UNION and UNION ALL:
- UNION - this command will allow you to join multiple datasets into one dataset and will remove any duplicates that exist. Basically it is performing a DISTINCT operation across all columns in the result set.
- UNION ALL - this command again allows you to join multiple datasets into one dataset, but it does not remove any duplicate rows. Because this does not remove duplicate rows this process is faster, but if you don't want duplicate records you will need to use the UNION operator instead.
Example:
SELECT * FROM dbo.Employee
UNION ALL
SELECT * FROM dbo.Employee
UNION ALL
SELECT * FROM dbo.Employee
UNION ALL
SELECT * FROM dbo.Employee
UNION ALL
SELECT * FROM dbo.Employee
UNION
The UNION command is used to select related information from two tables, much like the JOIN command. However, when using the UNION command all selected columns need to be of the same data type. With UNION, only distinct values are selected.
The UNION command is used to select related information from two tables, much like the JOIN command. However, when using the UNION command all selected columns need to be of the same data type. With UNION, only distinct values are selected.
UNION ALL
The UNION ALL command is equal to the UNION command, except that UNION ALL selects all values.
The UNION ALL command is equal to the UNION command, except that UNION ALL selects all values.
The difference between Union and Union all is that Union all will not eliminate duplicate rows, instead it just pulls all rows from all tables fitting your query specifics and combines them into a table.
A UNION statement effectively does a SELECT DISTINCT on the results set. If you know that all the records returned are unique from your union, use UNION ALL instead, it gives faster results.
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