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One of the most important contributors to the rise of SQL has been a dramatic increase in the performance of relational databases. Part of this performance increase was due to advances in database technology and query optimization. However, most of the DBMS performance improvement came from gains in the raw processing power of the underlying computer systems and from changes in the DBMS software designed to capitalize on those gains. While the performance of mainframe systems steadily increased, the most striking performance gains have been in the UNIX-based and Windows-based server markets, where processing power has doubled or more year by year. Some of the most significant advances in server performance come from the growth of symmetric multiprocessing (SMP) systems, where two, four, eight, or even dozens of processors operate in parallel, sharing the processing workload. A multiprocessor architecture can be applied to OLTP applications, where the workload consists of many small, parallel database transactions. Traditional OLTP vendors such as Tandem have always used a multiprocessor architecture, and the largest mainframe systems have used multiprocessor designs for more than a decade. In the 1990s, multiprocessor systems became a mainstream part of the UNIX-based server market, and in the next decade, multiprocessor servers became the norm at the midrange and high end of the PC server market.
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PART VI
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Part VI:
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Today, even desktop systems based on Intel and AMD microprocessors feature two-way and four-way CPU cores, where a single processor chip operates with nearly the same power as two or four separate processors. Blade server systems expand this capability further, making servers with dozens of processors highly economical. The mainstream adoption of 64-bit hardware architecture and operating systems has expanded the memory on these systems to tens or even hundreds of gigabytes. Servers that rival the computing power of traditional mainframes now carry price tags of up to $100,000. Multicore and multiprocessor systems also provided performance benefits in decision support and data analysis applications. DBMS vendors have invested heavily to parallelize their query operations, taking the work of a single complex SQL query and splitting it into multiple, parallel paths of execution. With these techniques, a query that might have taken two hours on a single-processor system can be completed in just a few minutes. Companies are taking advantage of this hardware-based performance boost to obtain business analysis results in a fraction of the time previously required. But more often, they are using the increased processing power to carry out much more complex and sophisticated analysis to optimize their operations. Today, the quest for faster database performance certainly shows no signs of stopping, fueled by DBMS optimization for multiprocessor and multicore hardware. In the past, the database performance quest has fueled the top end of the hardware market, driving demand for additional mainframe capacity and high-end UNIX servers from Sun, HewlettPackard, and others. In the future, it appears that the database performance quest will have an even more profound impact on midrange and commodity servers and the microprocessors that power them.
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Database Server Appliances
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The history of SQL and relational databases has been a recurring cycle of interest in, and then dissatisfaction with, dedicated database server appliances. To build these systems, a vendor combined high-performance microprocessors, fast disk drives, and preintegrated software to deliver a black box database server that could simply be attached to the network and powered on. Database server vendors typically argued that they could deliver much better database performance with a specially designed database engine than with a general-purpose computer system. In some cases, their systems included applicationspecific integrated circuits (ASICs) that implement some of the DBMS logic in hardware for maximum speed. Dedicated database systems from companies such as Teradata, Sharebase (formerly Britton-Lee), and Netezza found some acceptance in applications that involve complex queries against very large databases. While Teradata succeeded and remains a powerful force in the high end of the data warehousing market, the other packaged database servers of the 1980s and 1990s failed to make an impact. The notion of a packaged, all-in-one, database server appliance was briefly rekindled at the end of the 1990s by Oracle Corporation and its CEO, Larry Ellison. Ellison argued that the Internet era had seen the success of other all-in-one products, such as networking equipment and web cache servers. Oracle announced partnerships with several server hardware vendors to build Oracle-based database appliances. Over time, however, these efforts had little market impact, and Oracle s enthusiasm for database appliances seemed to fade.
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27:
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