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SQL2 UNION, INTERSECT, and DIFFERENCE Operations
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The SQL2 UNION, INTERSECT, and DIFFERENCE operations provide set operations for combining two input tables to form an output table. All three of the operations require that the two input tables be union-compatible they must have the same number of columns, and the corresponding columns of each table must have identical data types. Here are some simple examples of SQL2 query expressions involving UNION, INTERSECT, and DIFFERENCE operations based on the sample database: Show all products for which there is an order over $30,000 or more than $30,000 worth of inventory on hand.
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(SELECT MFR, PRODUCT FROM ORDERS WHERE AMOUNT > 30000.00) UNION (SELECT MFR_ID, PRODUCT_ID FROM PRODUCTS WHERE (PRICE * QTY_ON_HAND) > 30000)
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Show all products for which there is an order over $30,000 and more than $30,000 worth of inventory on hand.
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(SELECT MFR, PRODUCT FROM ORDERS WHERE AMOUNT > 30000.00) INTERSECT (SELECT MFR_ID, PRODUCT_ID FROM PRODUCTS WHERE (PRICE * QTY_ON_HAND) > 30000)
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Show all products for which there is an order over $30,000 except for those products that sell for under $1000.
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(SELECT FROM WHERE EXCEPT (SELECT FROM WHERE MFR, PRODUCT ORDERS AMOUNT > 30000.00) MFR_ID, PRODUCT_ID PRODUCTS PRICE < 100.00)
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By default, the UNION, INTERSECT, and EXCEPT operations eliminate duplicate rows during their processing. This is usually the desired result, as it is in these examples, but occasionally, you may need to suppress the elimination of duplicate rows. You can do this by specifying the UNION ALL, INTERSECT ALL, or EXCEPT ALL forms of the operations. Note each of these examples produces a two-column table of query results. The results come from two different source tables within the database the ORDERS table and the PRODUCTS table. However, the columns selected from these tables have the same corresponding data types, so they can be combined using these operations. In the sample database, the corresponding columns have different names in the two tables. (The manufacturer-ID column is named MFR in the ORDERS table but named MFR_ID in the PRODUCTS table.) However, corresponding columns such as these will often have the same name in each of the tables being combined. As a convenience, SQL2 lets you specify the corresponding
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9:
Subqueries and Query Expressions
columns in a CORRESPONDING clause attached to the UNION, INTERSECT, or EXCEPT operation. Here is the preceding UNION example, changed for the situation where the ORDERS and PRODUCTS tables have parallel column names for manufacturer ID and product ID: Show all products for which there is an order over $30,000 or more than $30,000 worth of inventory on hand.
(SELECT FROM WHERE UNION (SELECT FROM WHERE * ORDERS AMOUNT > 30000.00) CORRESPONDING BY (MFR, PRODUCT) * PRODUCTS (PRICE * QTY_ON_HAND) > 30000)
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In a case like this one where all of the corresponding (that is, identically named) columns from the two tables participate in the UNION operation, SQL2 even allows you to leave off the explicit list of column names: Show all products for which there is an order over $30,000 or more than $30,000 worth of inventory on hand.
(SELECT FROM WHERE UNION (SELECT FROM WHERE * ORDERS AMOUNT > 30000.00) CORRESPONDING * PRODUCTS (PRICE * QTY_ON_HAND) > 30000)
Finally, it s worth noting that the column alias capability of the query specification can be used to rename or assign names to the columns from the individual query results that are being combined with the UNION operation. If we eliminate the assumption that the PRODUCTS and ORDERS tables use the same column names, it s still possible to use the CORRESPONDING form of the UNION operation in this query simply by renaming the columns in one of the tables: Show all products for which there is an order over $30,000 or more than $30,000 worth of inventory on hand.
(SELECT * FROM ORDERS WHERE AMOUNT > 30000.00)
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