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VHS copy in the store s inventory. The MOVIE_COPY table has a row for each copy of a movie in the inventory, so you can use a subselect to nd out if there are VHS copies of the movie in inventory. The EXISTS operator is most often used in conjunction with a more complicated form of subquery call a correlated subquery, where a data value from the outer select (the MOVIE_ID in this case) is matched against rows in the inner query. If you nd the syntax in this example confusing, don t be overly concerned because we ll revisit it in 5. For now, just know that the subselect will return a row if the movie has a VHS copy in stock and will return no rows if not. By the way, this same query could also be written using the IN operator or using a join, which matches rows in the two tables. Joins are also covered in 5.

pioneer new database technology and grow by selling it to early adopters. These early adopters have helped to shape the technology and identified the solution areas where it can deliver real benefits. After a few years, when the advantages of the new technology have been demonstrated, the startup vendors are acquired by large established players. These vendors can bring the new technology into their installed base, and bring their marketing and sales muscle to bear in an attempt to win business in their competitor s accounts. The early 1990s saw this cycle play out with database vendor acquisitions of database tools vendors. In the late 1990s, the same cycle applied to mergers and acquisitions of database vendors. Informix s purchase of Illustra (a pioneering object-relational vendor), Red Brick (a pioneering data warehousing vendor), and Cloudscape (a pioneering pure Java database vendor) are three examples of the pattern. Just a few years later, Informix itself was acquired by IBM, continuing this particular chain of consolidation.

Despite the maturing of some parts of the database market (especially the market for corporate enterprise-class database systems), it continues to develop new segments and niches that appear and then grow rapidly. For much of the 1990s, the most useful way to segment the database market has been based on database size and scale there were PC databases, minicomputer databases, mainframe databases, and later, workgroup databases. Today s database market is much more diverse and is more accurately segmented based on target application and specialized database capabilities to address unique application requirements. Market segments that have appeared and have experienced high growth include: I Data warehousing databases, focused on managing thousands of gigabytes of data, such as historical retail purchase data. I Online analytic processing (OLAP) and relational online analytic processing (ROLAP) databases, focused on carrying out complex analyses of data to discover underlying trends (data mining), allowing organizations to make better business decisions. I Mobile databases, in support of mobile workers such as salespeople, support personnel, field service people, consultants, and mobile professionals. Often, these mobile databases are tied back to a centralized database for synchronization. I Embedded databases, which are an integral, transparent part of an application sold by an independent software vendor (ISV) or a value-added reseller (VAR). These databases are characterized by small footprints and very simple administration. I Microdatabases, designed for appliance-type devices, such as smart cards, network computers, smart phones, and handheld PCs and organizers.

26:

Figure 12-10 The can assembly on its stand (from the side).

I In-memory databases, designed for ultra-high-performance OLTP applications, such as those embedded in telecomm and data communications networks and used to support customer interaction in very high-volume Internet applications. I Clustered databases, designed to take advantage of powerful, low-cost servers used in parallel to perform database management tasks with high scalability and reliability.

SELECT MOVIE_ID, MOVIE_TITLE FROM MOVIE m WHERE MOVIE_TITLE = 'The Last Samurai' AND EXISTS (SELECT MOVIE_ID FROM MOVIE_COPY c WHERE m.MOVIE_ID = c.MOVIE_ID); MOVIE_ID MOVIE_TITLE ---------- -----------------2 The Last Samurai 1 row selected.