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Correlated Subqueries Using the EXISTS Clause

Oracle Tips by Burleson Consulting

Oracle calls this class of subqueries correlated because a Boolean condition in the where clause of the inner query references a corresponding row in the outer query. The restrictions that must be met before Oracle can transform the correlated subquery to a join include these:

  • The correlated subquery must use the EXISTS clause.

  • The outer query cannot also be a subquery (For example, a nested subquery).

  • The correlation criteria in the inner query must use the equality operator, “=”.

  • The subquery cannot contain a group by or connect by reference.

  • The equality operator in the subquery must only return a single row.

These restrictions greatly limit the number of automatic transformations by the SQL optimizer. Especially limiting is the requirement that the query use the EXISTS clause, such that this transformation will not occur when using the IN clause.

However, just because Oracle does not transform the subquery does not mean that you cannot manually transform your correlated subquery. This type of transformation generally involves moving the subquery to the from clause of the surrounding query, thereby changing the subquery into an in-line view. Additionally, some types of correlated subqueries can be directly merged into the surrounding subquery rather than moved to the from clause.

The rule for automatic transforming a correlated subquery is simple. The only rule is that only one row is returned from the subquery for the corresponding correlation criteria.

For example, the following query returns all employees with bad credit:

select
   ename
from
   emp e
where EXISTS
   (select
      null
   from
      bad_credit b
   where
      e.empno=b.empno
   )
;

Here we see the execution plan for this query. Note that the subquery has been removed and the expected VIEW access method is replaced by a full-table scan.

OPERATION
----------------------------------------------------------------------
OPTIONS                        OBJECT_NAME                    POSITION
------------------------------ ---------------------------- ----------
SELECT STATEMENT
                                                                     1
  FILTER
                                                                     1
    TABLE ACCESS
FULL                           EMP                                   1
    INDEX
RANGE SCAN                     BAD_EMPNO                             2

However, just as in the case of non-correlated subqueries using the IN clause, we are better off rewriting the subquery. This is because we are assured that the query is always transformed, and we can also add hints to improve the join method. Here we see the equivalent query, rewritten as a standard join to use the rule hint.

select /*+ rule */
   ename
from
   emp e,
   bad_credit b
where
   e.empno=b.empno
;

Next we see that the execution plan is different from the automatic query transformation.

OPERATION
----------------------------------------------------------------------
OPTIONS                        OBJECT_NAME                    POSITION
------------------------------ ---------------------------- ----------
SELECT STATEMENT
  NESTED LOOPS
                                                                     1
    TABLE ACCESS
FULL                           BAD_CREDIT                            1
    TABLE ACCESS
BY INDEX ROWID                 EMP                                   2
      INDEX
RANGE SCAN                     EMP_EMPNO                             1

We also see that the standard join is easier to understand and also allows us to alter the execution plan by adding hints.

TIP: Oracle will automatically transform correlated subqueries that use the EXISTS clause. However, you should always manually rewrite this form of subquery as a standard join so that you can take advantage of hints.

Next, let’s examine anti-joins, which you know are non-correlated subqueries with the NOT IN operator.


This is an excerpt from "Oracle High-Performance SQL Tuning" by Donald K. Burleson, published by Oracle Press.


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