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Boston Boston Chicago Chicago NULL NULL Dallas NULL
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Anatomy of an outer join
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3. For each row of the second table that is not matched by any row in the first table, add one row to the query results, using the values of the columns in the second table, and assuming a NULL value for all columns of the first table. (This produces the seventh and eighth rows of results in the figure.) 4. The resulting table is the outer join of the two tables. (All eight rows of query results in the figure.) Here is the SQL statement that produces the outer join: List girls and boys in the same city, including any unmatched girls or boys.
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SELECT * FROM GIRLS FULL OUTER JOIN BOYS ON GIRLS.CITY = BOYS.CITY; GIRLS.NAME ----------Mary Mary Susan Betty Anne Nancy NULL NULL GIRLS.CITY ----------Boston Boston Chicago Chicago Denver NULL NULL NULL BOYS.NAME ---------John Henry Sam Sam NULL NULL James George BOYS.CITY ---------Boston Boston Chicago Chicago NULL NULL Dallas NULL
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As this example shows, the full outer join is an information-preserving join. (Some DBMS products, such as MySQL 5.0, do not yet support full outer joins.) Every row of the BOYS table is represented in the query results (some more than once). Similarly, every row of the GIRLS table is represented in the query results (again, some more than once).
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Left and Right Outer Joins
The full outer join of two tables, illustrated in the previous query, treats both of the joined tables symmetrically. Two other useful and well-defined outer joins do not. The left outer join between two tables is produced by following Step 1 and Step 2 in the previous numbered list but omitting Step 3. The left outer join thus includes NULL-extended copies of the unmatched rows from the first (left) table, but does not include any unmatched rows from the second (right) table. Here is a left outer join between the GIRLS and BOYS tables: List girls and boys in the same city and any unmatched girls.
SELECT * FROM GIRLS LEFT OUTER JOIN BOYS ON GIRLS.CITY = BOYS.CITY; GIRLS.NAME ----------Mary Mary Susan Betty Anne Nancy GIRLS.CITY ----------Boston Boston Chicago Chicago Denver NULL BOYS.NAME ---------John Henry Sam Sam NULL NULL BOYS.CITY ---------Boston Boston Chicago Chicago NULL NULL
The query produces six rows of query results, showing the matched girl/boy pairs and the unmatched girls. The unmatched boys are missing from the results. Similarly, the right outer join between two tables is produced by following Step 1 and Step 3 in the previous numbered list but omitting Step 2. The right outer join thus includes NULL-extended copies of the unmatched rows from the second (right) table, but does not include the unmatched rows of the first (left) table. Here is a right outer join between the GIRLS and BOYS tables: List girls and boys in the same city and any unmatched boys.
SELECT * FROM GIRLS RIGHT OUTER JOIN BOYS ON GIRLS.CITY = BOYS.CITY; GIRLS.NAME ----------Mary Mary Susan Betty NULL NULL GIRLS.CITY ----------Boston Boston Chicago Chicago NULL NULL BOYS.NAME ---------John Henry Sam Sam James George BOYS.CITY ---------Boston Boston Chicago Chicago Dallas NULL
7:
Multitable Queries (Joins)
This query also produces six rows of query results, showing the matched girl/boy pairs and the unmatched boys. This time the unmatched girls are missing from the results. As noted before, the left and right outer joins do not treat the two joined tables symmetrically. It is often useful to think about one of the tables being the major table (the one whose rows are all represented in the query results) and the other table being the minor table (the one whose columns contain NULL values in the joined query results). In a left outer join, the left (first-mentioned) table is the major table, and the right (later-named) table is the minor table. The roles are reversed in a right outer join (the right table is major, the left table is minor). In practice, the left and right outer joins are more useful than the full outer join, especially when joining data from two tables using a parent/child (primary key/foreign key) relationship. We have already seen one example involving the SALESREPS and OFFICES table in the sample database. The REP_OFFICE column in the SALESREPS table is a foreign key to the OFFICES table; it tells the office where each salesperson works, and it is allowed to have a NULL value for a new salesperson who has not yet been assigned to an office, such as Tom Snyder. Any join that exercises this SALESREPS-to-OFFICES relationship and expects to include data for Tom Snyder must be an outer join, with the SALESREPS table as the major table. Here is the example used earlier: List the salespeople and the cities where they work.
SELECT NAME, CITY FROM SALESREPS LEFT OUTER JOIN OFFICES ON REP_OFFICE = OFFICE; NAME -------------Tom Snyder Mary Jones Sam Clark Bob Smith Paul Cruz Dan Roberts Bill Adams Sue Smith Larry Fitch Nancy Angelli CITY -----------NULL New York New York Chicago Chicago Chicago Atlanta Los Angeles Los Angeles Denver
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