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who are prepared to engage in the integration work necessary to get a media stream to play at home. It does not appeal to the mass majority of consumers. Until the consumers can connect simply, streaming media will struggle to make money. Figure 4.1 shows the adoption of types of broadband access. It is clear that while there are many ways to receive a broadband connection, adoption is at an early stage.

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Other transactions are prevented from accessing the locked pages but may access (and lock for themselves) other pages of data Page sizes of 2KB, 4KB, and 16KB are commonly used Since a large table will be spread out over hundreds or thousands of pages, two transactions trying to access two different rows of a table will usually be accessing two different pages, allowing the two transactions to proceed in parallel However, tables with short rows increase the odds that individual rows needed by different transactions will happen to be in the same page Over the last decade, most of the major commercial DBMS systems have moved beyond page-level locking to row-level locks Row-level locking allows two concurrent transactions that access two different rows of a table to proceed in parallel, even if the two rows fall in the same disk block.

11.3.3 Testing The smoothness and quietness of operation, the tooth contact pattern, the tooth size, the surface finish, and appreciable runout can be checked in a running test. This is a subjective test. The machine consists of two spindles that can be set at the correct shaft angle, mounting distances, and offset. The gear to be inspected is mounted on

While this may seem a remote possibility, it can be a real problem with small tables containing small records, such as the OFFICES table in the sample database Row-level locking provides a high degree of parallel transaction execution Unfortunately, keeping track of locks on variable-length pieces of the database (in other words, rows) rather than fixed-size pages is a much more complex task, so increased parallelism comes at the cost of more sophisticated locking logic and increased overhead In fact, for certain transactions or applications, the overhead of row-level locking might be greater than the performance gains of permitting more parallel operation within the database Some DBMS products address this situation by automatically promoting many individual row-level locks into a page-level or table-level lock when the number of row-level locks for a given transaction rises above a certain limit.

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It s not always the case that a more granular (smaller) level of lock implementation is better; the best scheme heavily depends on the specific transactions and the SQL operations that they contain It s theoretically possible to move beyond row-level locking to locking at the individual data-item level In theory, this would provide even more parallelism than row-level locks, because it would allow concurrent access to the same row by two different transactions, provided they were accessing different sets of columns The overhead in managing item-level locking, however, has thus far outweighed its potential advantages No commercial SQL DBMS uses item-level locking In fact, locking is an area of considerable research in database technology, and the locking schemes used in commercial DBMS products are much more sophisticated than the fundamental scheme described here.