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There is one final variation on this simple query that illustrates another feature of the SQL2 FROM clause. A join between two tables where the matching columns are exactly those specific columns from the two tables that have identical names is called a natural join, because usually this is precisely the most natural way to join the two tables. The query selecting girl/boy pairs who live in the same city and have the same age can be expressed as a natural join using this SQL2 query:

Now we are going to assemble the touch sensors for our robot. Take the small Augat sockets, and a 7 mm length of heatshrink tubing, and shrink the tubing onto the socket. Now trim the tubing with a sharp knife below the neck of the socket and slide off the excess. Taking the spring, stretch it a little, and push the Augat connector into the center of the spring. Follow Figure 16-19 which illustrates the stages of constructing the spring/socket assembly. Once you have completed this stage, you will want to think about soldering it to the circuit board. You need to solder the pin to face forward as shown in Figure 16-20, and then the spring wire to the adjacent pad. Now you can curl the wires in different configurations. Experiment with making the wires different

If the NATURAL keyword is specified, the ON and USING clauses may not be used in the join specification, because the natural join specifically defines the search condition to be used to join the tables all of the columns with identical column names in both tables are to be matched. The SQL2 standard assumes that the default join between two tables is an inner join. You can omit the keyword INNER from any of the preceding examples, and the resulting query remains a legal SQL2 statement with the same meaning.

Outer Joins in SQL2 *

5

The SQL2 standard provides complete support for outer joins using the same clauses described in the preceding section for inner joins and additional keywords. For example, the full outer join of the GIRLS and BOYS tables (without the AGE columns) is generated by this query:

7:

Multitable Queries (Joins)

As explained earlier in this chapter, the query results will contain a row for each matched girl/boy pair, as well as one row for each unmatched boy, extended with NULL values in the columns from the other, unmatched table. SQL2 allows the same variations for outer joins as for inner joins; the query could also have been written:

FROM PERSON JOIN CUSTOMER_ACCOUNT_PERSON USING (PERSON_ID) WHERE DEATH_DATE IS NOT NULL;

RETRIEVING DATA SELECT * FROM GIRLS FULL OUTER JOIN BOYS USING (CITY)

Just as the keyword INNER is optional in the SQL2 language, the SQL2 standard also allows you to omit the keyword OUTER. The preceding query could also have been written:

shapes and seeing how it affects their ability to sense. Moving the wires to different positions will allow the robot to sense different zones in front of it. Experiment to see which arrangement makes the robot navigate most effectively.

SELECT * FROM GIRLS FULL JOIN BOYS USING (CITY)

The DBMS can infer from the word FULL that an outer join is required. By specifying LEFT or RIGHT instead of FULL, the SQL2 language extends quite naturally to left or right outer joins. Here is the left outer join version of the same query:

SELECT PERSON_GIVEN_NAME, PERSON_FAMILY_NAME, CUSTOMER_ACCOUNT_ID FROM PERSON A JOIN CUSTOMER_ACCOUNT_PERSON B ON A.PERSON_ID = B.PERSON_ID WHERE DEATH_DATE IS NOT NULL;

SELECT * FROM GIRLS LEFT OUTER JOIN BOYS USING (CITY)

As described earlier in the chapter, the query results will include matched girl/boy pairs and NULL-extended rows for each unmatched row in the GIRLS table (the left table in the join), but the results do not include unmatched rows from the BOYS table. Conversely, the right outer join version of the same query, specified like this:

SELECT * FROM GIRLS RIGHT OUTER JOIN BOYS USING (CITY)

includes boy/girl pairs and unmatched rows in the BOYS table (the right table in the join) but does not include unmatched rows from the GIRLS table.

SELECT PERSON_GIVEN_NAME, PERSON_FAMILY_NAME FROM PERSON JOIN EMPLOYEE USING (PERSON_ID) JOIN CUSTOMER_ACCOUNT_PERSON USING (PERSON_ID);

Cross Joins and Union Joins in SQL2 *

Armed with these simple principles you can go on to create your own solar robots. The key to the design is the solar motor schematic and interconnection of lots of small simple neuron circuits.