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Ingres and Oracle, in particular, leapfrogged with each new version claiming superiority over the competitor and two or three times the performance of the previous release Improvements in the processing power of the underlying computer hardware also helped to boost performance Market forces also boosted the popularity of SQL in the late 1980s IBM stepped up its evangelism of SQL, positioning DB2 as the data management solution for the 1990s Publication of the ANSI/ISO standard for SQL in 1986 gave SQL official status as a standard SQL also emerged as a standard on UNIX-based computer systems, whose popularity accelerated in the 1980s As personal computers became more powerful and were linked in local area networks (LANs), they needed more sophisticated database management PC database vendors embraced SQL as the solution to these needs, and minicomputer database vendors moved down market to compete in the emerging PC local area network market.

begin declare section; /* repnum; repname[16]; /* repquota; /* /* repsales; end declare section;

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Through the early 1990s, steadily improving SQL implementations and dramatic improvements in processor speeds made SQL a practical solution for transaction processing applications Finally, SQL became a key part of the client/server architecture that used PCs, local area networks, and network servers to build much lower-cost information processing systems SQL s supremacy in the database world has not gone unchallenged By the early 1990s, object-oriented programming had emerged as the method of choice for applications development, especially for personal computers and their graphical user interfaces The object model, with its objects, classes, methods, and inheritance, did not provide an ideal fit with the relational model of tables, rows, and columns of data A new generation of venture capital-backed object database companies sprang up, hoping to make relational databases and their vendors obsolete, just as SQL had done to the earlier, nonrelational vendors.

employee number(from user) */ retrieved salesperson name */ retrieved quota */ retrieved sales */

However, SQL and the relational model more than withstood the challenge Total annual revenues for object-oriented databases are measured in the hundreds of millions of dollars, at best, while SQL and relational database systems, tools, and services produce tens of billions of dollars of sales per year As SQL grew to address an ever-wider variety of data management tasks, the onesize-fits-all approach showed serious strain By the late 1990s, database management was no longer a monolithic market Specialized database systems sprang up to support.

/* Prompt the user for the employee number */ printf("Enter salesrep number:"); scanf("%d", &repnum); /* Execute the SQL query */ exec sql select name, quota, sales into :repname, :repquota, :repsales; from salesreps where empl_num = :repnum /* Display the retrieved data */ if (sqlca.sqlcode = = 0) { printf("Name: %s\n", repname); printf("Quota: %f\n", repquota); printf("Sales: %f\n", repsales); } else if (sqlca.sqlcode = = 100) printf("No salesperson with that employee number.\n"); else printf("SQLerror: %ld\n", sqlca.sqlcode); exit(); }

different market needs. One of the fastest-growing segments was data warehousing, where databases were used to search through huge amounts of data to discover underlying trends and patterns. A second major trend was the incorporation of new data types (such as multimedia data) and object-oriented principles into SQL. A third important segment was mobile databases for portable personal computers that could operate when sometimes connected to, and sometimes disconnected from, a centralized database system. Another important application segment was embedded databases for use within intelligent devices, such as network equipment. In-memory databases emerged as another segment, designed for very high levels of performance. Despite the emergence of subsegments of the database market, SQL has remained a common denominator across them all. As the computer industry prepares for the next century, SQL s dominance as the database standard remains very strong. New challenges continue to emerge databases rooted in the eXtended Markup Language (XML) are the latest attempt to move outside of the relational model and SQL but the history of the past 20 years indicates that SQL and the relational model have a powerful ability to embrace and adapt to new data management needs.

FIGURE 17-20

Cascaded Deletes and Updates *

prompt for this column */ name for this column */ its data type code */ length of its buffer */ "selected" flag (y/n) */ "NAME", 449, 16, 'n', "REP_OFFICE", 497, 4, 'n',

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