"The man who doesn't read good books has no advantage over the man who can't read them."
- Mark Twain
1.Each query will have at least two SELECT Statements separated by a SET Operator
2.SET Operators are UNION, INTERSECT, or MINUS
3.Must specify the same number of columns from the same domain (data type/range)
4.If using Aggregates, both SELECTs much have their own GROUP BY
5.Both SELECTS must have a FROM Clause
6.The First SELECT is used for all ALIAS and FORMAT Statements
7.The Second SELECT will have the ORDER BY statement which must be a number
8.When multiple operators the order of precedence is INTERSECT, UNION, and MINUS
9.Parentheses can change the order of Precedence
10.Duplicate rows are eliminated in the spool unless the ALLkeyword is used
SELECT * FROM Table_Red
INTERSECT
SELECT * FROM Table_Blue ;
In this example, what numbers in the answer set would come from the query above ?
SELECT * FROM Table_Red
INTERSECT
SELECT * FROM Table_Blue ;
3
In this example, only the number 3 was in both tables so they INTERSECT.
SELECT * FROM Table_Red
UNION
SELECT * FROM Table_Blue ;
In this example, what numbers in the answer set would come from the query above ?
SELECT * FROM Table_Red
UNION
SELECT * FROM Table_Blue ;
1 2 3 4 5
Both top and bottom queries run simultaneously, then the two different spools files are merged to eliminate duplicates and place the remaining numbers in the answer set.
SELECT * FROM Table_Red
UNION ALL
SELECT * FROM Table_Blue ;
In this example, what numbers in the answer set would come from the query above?
SELECT * FROM Table_Red
UNION ALL
SELECT * FROM Table_Blue ;
1 2 3 3 4 5
Both top and bottom queries run simultaneously, then the two different spools files are merged together to build the answer set. The ALL prevents eliminating Duplicates.
What will the answer set be? Notice I changed the order of the tables in the query!
SELECT * FROM Table_Blue
MINUS
SELECT * FROM Table_Red ;
4 5
The Top query SELECTED 3, 4, 5 from Table_Blue. From that point on, only 3, 4, 5 at most could come back. The bottom query is run on Table_Red, and if there are any matches, they are not ADDED to the 3, 4, 5 but instead take away either the 3, 4, or 5.
You must have an equal amount of columns in both SELECT lists. This is because data is compared from the two spool files, and duplicates are eliminated. So, for comparison purposes, there must be an equal amount of columns in both queries.
The above query works without error, but no data is returned. There are no First Names that are the same as Department Names. This is like comparing Apples to Oranges. That means they are NOT in the same Domain.
The Top Query is responsible for ALIASING
The Bottom Query is responsible for sorting.
SELECT E.Employee_No AS MANAGER
,Trim(Last_Name) || ', ' || First_Name as "Name"
FROM Employee_Table E
INNER JOIN
(SELECT Employee_No
FROM Employee_Table
INTERSECT
SELECT Mgr_No
FROM Department_Table) TeraTom
ON E.Employee_No = TeraTom.Employee_No
ORDER BY "Name"
MANAGER |
Name |
1256349 |
Harrison, Herbert |
1333454 |
Smith, John |
1000234 |
Smythe, Richard |
1121334 |
Strickling, Cletus |
The Derived Table gave us the empno for all managers, and we were able to join it.
SELECT Department_Name, Dept_No
FROM Department_Table
UNIONALL
SELECT Department_Name, Dept_No
FROM Department_Table
ORDER BY 1;
UNION eliminates duplicates, but UNION ALL does not.
SELECT Dept_No as Department_Number
FROM Department_Table
MINUS
SELECT Dept_No
FROM Employee_Table
ORDER BY 1 ;
Department_Number 500 |
This query brought back all Departments without any employees.
Above we use multiple SET Operators. They follow the natural Order of Precedence in that UNION is evaluated first, then INTERSECT, and finally MINUS.
Above we use multiple SET Operators and Parentheses to change the order of precedence. Above the EXCEPT runs first, then the INTERSECT and lastly, the UNION. The natural Order of Precedence without parentheses is UNION, INTERSECT, and finally EXCEPT or MINUS.
This is a clever trick that might help speed things up.