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This time, one row will be returned for each row in the right stream, regardless of whether there is a matching key in the controlling stream. The length of the river has no relevance here, since outer joins are unequivocal about which table must be on the left side, to be looped over. It is the algorithm for the outer join that determines the access method, not the sizes of the streams. With EMPLOYEE on the left side, it would be impossible to form the outer join by looping over the SALARY_HISTORY table to look up in EMPLOYEE. Because optimizer does not have any choice about the order in which the streams could be joined, it simply picks the most usable index on SALARY_HISTORY.

In the next example, table size comes into account and is not overlooked by using the unique primary key index. DEPARTMENT has 21 rows, PROJECT has 6 rows, and the optimizer chooses the smaller table s foreign key index to optimize the lookup on the larger table:

SELECT * FROM DEPARTMENT D JOIN PROJECT P ON D.MNGR_NO = P.TEAM_LEADER ; PLAN JOIN (D NATURAL,P INDEX (RDB$FOREIGN13))

The involvement of an indexed ordering specification can influence how the optimizer chooses to navigate the streams. Take the following example:

BEGIN FOR i IN 1..10000 LOOP EXECUTE IMMEDIATE 'INSERT INTO test_cons VALUES ('||i ||',RPAD(TO_CHAR('||i||'),11,''.'')' ... ||',RPAD(TO_CHAR('||i||'),30,''.''))'; END LOOP; COMMIT; END; /

SQL> SELECT P.*, E.FULL_NAME FROM PROJECT P JOIN EMPLOYEE E ON E.EMP_NO = P.TEAM_LEADER ORDER BY P.PROJ_NAME ; PLAN JOIN (P ORDER RDB$11, E INDEX (RDB$PRIMARY7))

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The unique index on EMPLOYEE is chosen because of the filter condition implicit in the join criteria. The query will eliminate employees who are not team leaders, and the unique index permits that to happen without needing to search the EMPLOYEE table. The

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choice of the filter index may also be influenced by the need to use the navigational index on PROJ_NAME for the sort.6 The optimizer chooses the index on the right side because the right stream will be as long as the left or (potentially) longer. Again, the optimizer cannot tell that the relationship is, in fact, one to one. The Proj_Name column specified to order the set has a unique index, created for a UNIQUE constraint, to use for the sort and the optimizer chooses it. The sort index appears first, instructing the engine to sort the left stream before it begins matching the join key from the right stream.

The presence of the length-checking constraints can double or even quadruple parse time. The situation is more severe on Oracle 9 because each constraint is read from the catalogue by a separate cursor. All processing in PeopleSoft can be affected by this phenomenon because many statements are generated dynamically. Application Engine batch processes are particularly susceptible because bind variables are resolved to literals before the SQL is submitted. I have administered these tests on various operating systems and database versions with varying results, but this effect is always present. I have also seen a number of production systems suffering from this effect. It especially affects Application Engine processes because they resolve bind variables to literal values in the SQL that is submitted to the database. This effectively guarantees that every statement will need to be parsed. Hence Financials, with its batch processing, is affected more than HCM and CRM, which are mainly online applications.

The tables in the following query are non-indexed copies of the Project and Employee tables (see footnote 4 earlier in the chapter):

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