Search results
Results from the WOW.Com Content Network
Right and left outer joins are functionally equivalent. Neither provides any functionality that the other does not, so right and left outer joins may replace each other as long as the table order is switched. A Venn diagram representing the full join SQL statement between tables A and B.
The right outer join ( ) behaves almost identically to the left outer join, but the roles of the tables are switched. The right outer join of relations R and S is written as R S . [ e ] The result of the right outer join is the set of all combinations of tuples in R and S that are equal on their common attribute names, in addition to tuples in ...
A right join is employed over the Target (the INTO table) and the Source (the USING table / view / sub-query)--where Target is the left table and Source is the right one. The four possible combinations yield these rules:
The sort-merge join (also known as merge join) is a join algorithm and is used in the implementation of a relational database management system. The basic problem of a join algorithm is to find, for each distinct value of the join attribute, the set of tuples in each relation which display that value. The key idea of the sort-merge algorithm is ...
As of the Oracle Database 10g release, Oracle Corporation seems to have started to make an effort to standardize all current versions of its major products using the "10g" label. Major products include: Oracle Database 10; Oracle Application Server 10g (aka Oracle AS 10g) — a middleware product; Oracle Applications Release 11i (aka Oracle e ...
In SQL the UNION clause combines the results of two SQL queries into a single table of all matching rows.The two queries must result in the same number of columns and compatible data types in order to unite.
The current release of Oracle Application Server, 10g R3, does not feature a metadata repository tier, relying instead on metadata repositories provided in previous releases. Following Oracle's acquisition of BEA Systems : “key features [will be] integrated with WebLogic Server with seamless migration”.
The idea was that you could do a JOIN to the DUAL table and create two rows in the result for every one row in your table. Then, by using GROUP BY, the resulting join could be summarized to show the amount of storage for the DATA extent and for the INDEX extent(s). The name, DUAL, seemed apt for the process of creating a pair of rows from just one.