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TimesTen is a venture-backed database company focused on delivering ultra-highperformance in-memory database systems. The company was formed as a spinoff of a main-memory database project at Hewlett-Packard, and its underlying technology has been shipping as an embedded component of HP telecommunications systems since 1996. TimesTen s version of the technology began shipments in 1998. It features an ODBC and JDBC APIs and industry-standard SQL, and runs on Windows server operating systems, Linux, and UNIX-based servers from HP, Sun Microsystems, and IBM. The TimesTen in-memory database is targeted at applications with high-performance requirements in telecomm/datacomm systems, high-volume Internet applications, and financial services applications. It has been deployed as a stand-alone data manager within cellular networks and datacomm applications. It has also been used as a highperformance data cache front-ending conventional disk-based RDBMS systems in Internet applications, and as a stand-alone database for stock trading and market data distribution applications For typical OLTP applications, the TimesTen engine delivers at least ten times (1000 percent) the performance of a fully cached conventional RDBMS. TimesTen 4, the current version, supports 64-bit database addressing, allowing in-memory databases of tens of gigabytes. In addition to its RDBMS features, TimesTen offers N-way data replication capabilities for high-availability and load-sharing configurations and an event-publishing capability. The company s main-memory database products have been measured at transaction rates exceeding 10 million SQL read operations (read based on primary key) per minute.

Appendix B:

Figure 10-6.

List the DVD price of The Last Samurai with a leading dollar sign. The numeric value must be converted to (cast as) a character string so that you can concatenate it with a literal containing a dollar sign. Note that for Microsoft SQL Server, the concatenation operator in the statement has to be changed from || to + .

In this example, the WHERE clause identifies a single row of the CUSTOMERS table, and the SET clause assigns new values to two of the columns in that row. The WHERE clause is exactly the same one you would use in a DELETE or SELECT statement to identify the row. In fact, the search conditions that can appear in the WHERE clause of an UPDATE statement are exactly the same as those available in the SELECT and DELETE statements. Like the DELETE statement, the UPDATE statement can update several rows at once with the proper search condition, as in this example: Transfer all salespeople from the Chicago office (number 12) to the New York office (number 11), and lower their quotas by 10 percent.

In this case, the WHERE clause selects several rows of the SALESREPS table, and the value of the REP_OFFICE and QUOTA columns are modified in all of them. Conceptually, SQL processes the UPDATE statement by going through the SALESREPS table row by row, updating those rows for which the search condition yields a TRUE result and skipping over those for which the search condition yields a FALSE or NULL result. Because it searches the table, this form of the UPDATE statement is sometimes called a searched UPDATE statement. This term distinguishes it from a different form of the UPDATE statement, called a positioned UPDATE statement, which always updates a single row. The positioned UPDATE statement applies only to programmatic SQL and is described in 17. Here are some additional examples of searched UPDATE statements: Reassign all customers served by employee numbers 105, 106, or 107 to employee number 102.

10:

SELECT '$' || CAST(RETAIL_PRICE_DVD AS VARCHAR(6)) AS PRICE FROM MOVIE WHERE MOVIE_TITLE = 'The Last Samurai'; PRICE ------$19.96