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The REP_OFFICE and OFFICE columns create a parent/child relationship between the OFFICES and SALESREPS rows. Each OFFICES (parent) row has zero or more SALESREPS (child) rows with matching office numbers. Similarly, each SALESREPS (child) row has exactly one OFFICES (parent) row with a matching office number. Suppose you tried to insert a new row into the SALESREPS table that contained an invalid office number, as in this example: INSERT INTO SALESREPS (EMPL_NUM, NAME, REP_OFFICE, AGE, HIRE_DATE, SALES) VALUES (115, 'George Smith', 31, 37, '01-APR-90', 0.00) On the surface, there's nothing wrong with this INSERT statement. In fact, many SQL implementations will successfully add the row. The database will show that George Smith works in office number 31, even though no office number 31 is listed in the OFFICES table. The newly inserted row clearly "breaks" the parent/child relationship between the OFFICES and SALESREPS tables. In fact, the office number in the INSERT statement is probably an error the user may have intended office number 11, 21, or 13. It seems clear that every legal value in the REP_OFFICE column should be forced to match some value that appears in the OFFICE column. This rule is known as a referential integrity constraint. It ensures the integrity of the parent/child relationships created by foreign keys and primary keys. Referential integrity has been a key part of the relational model since it was first proposed by Codd. However, referential integrity constraints were not included in IBM's prototype System/R DBMS, nor in early releases of DB2 or SQL/DS. IBM added referential integrity support to DB2 in 1989, and referential integrity was added to the SQL1 standard after its initial release. Most DBMS vendors now have either implemented referential integrity or indicated plans to include referential integrity support in future releases of their products.

For Figure 11-1, this rule can be summarized as Changing an office number automatically changes the office number for all the salespeople assigned to that office..

FIGURE 1-2

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I SET NULL update rule The SET NULL update rule tells the DBMS that when a primary key value in a parent row is updated, the foreign key values in all of its child rows should automatically be set to NULL Primary key changes in the parent table thus cause a set to NULL update on selected columns of the child table For the tables in Figure 11-1, this rule can be summarized as If an office number is changed, indicate that the current office assignment of its salespeople is unknown I SET DEFAULT update rule The SET DEFAULT update rule tells the DBMS that when a primary key value in a parent row is updated, the foreign key values in all of its child rows should automatically be set to the default value for that particular column.

SQL and relational databases originally had very little impact in online transaction processing (OLTP) applications. With their emphasis on queries, relational databases were confined to decision support and low-volume online applications, where their slower performance was not a disadvantage. For OLTP applications, where hundreds of users needed online access to data and subsecond response times, IBM s nonrelational Information Management System (IMS) reigned as the dominant DBMS. In 1986, a new DBMS vendor, Sybase, introduced a new SQL-based database especially designed for OLTP applications. The Sybase DBMS ran on VAX/VMS minicomputers and Sun workstations, and focused on maximum online performance. Oracle Corporation and Relational Technology followed shortly with announcements that they, too, would offer OLTP versions of their popular Oracle and Ingres database systems. In the UNIX market, Informix announced an OLTP version of its DBMS, named Informix-Turbo.

Primary key changes in the parent table thus cause a set to DEFAULT update on selected columns of the child table For the tables in Figure 11-1, this rule can be summarized as If an office number is changed, automatically change the office assignment of its salespeople to the default office specified in the definition of the SALESREPS table The same differences between DB2 and the SQL2 standard described for the delete rules apply to the update rules The SET DEFAULT update rule is present only in the standard, not in the current DB2 implementation The RESTRICT update rule is a DB2 naming convention; the SQL2 standard again calls this update rule NO ACTION You can specify two different rules as the delete rule and the update rule for a parent/child relationship, although in most cases, the two rules will be the same.

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In 1988, IBM jumped on the relational OLTP bandwagon with DB2 Version 2, with benchmarks showing the new version operating at over 250 transactions per second on large mainframes. IBM claimed that DB2 performance was now suitable for all but the most demanding OLTP applications and encouraged customers to consider it as a serious alternative to IMS. OLTP benchmarks became a standard sales tool for relational databases, despite serious questions about how well the benchmarks actually measure performance in real applications. The suitability of SQL for OLTP improved dramatically over the next decade, with advances in relational technology and more powerful computer hardware both leading to ever-higher transaction rates. DBMS vendors started to position their products based on their OLTP performance, and for a few years database advertising focused almost entirely on these performance benchmark wars. A vendor-independent organization, the Transaction Processing Council, jumped into the benchmarking fray with a series of vendorindependent benchmarks (TPC-A, TPC-B, and TPC-C), which only served to intensify the performance focus of the vendors. By the early 2000s, SQL-based relational databases on high-end UNIX-based database servers evolved well past the 1000-transactions-per-second mark. Client/server systems using SQL databases have become the accepted architecture for implementing OLTP applications. From a position as unsuitable for OLTP, SQL has grown to be the industry standard foundation for building OLTP applications.

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