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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 Over the last several years, 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 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 As this example shows, 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 The most straightforward of these advanced locking schemes, using shared and exclusive locks, is described in the next section..

SELECT MOVIE_GENRE_CODE AS GENRE, MOVIE_TITLE FROM MOVIE WHERE MOVIE_GENRE_CODE IN (SELECT MOVIE_GENRE_CODE FROM MOVIE_GENRE WHERE MOVIE_GENRE_DESCRIPTION LIKE '% and %') ORDER BY MOVIE_GENRE_CODE, MOVIE_TITLE; GENRE ----ActAd ActAd ActAd ActAd ActAd ActAd ActAd MOVIE_TITLE -----------------------------------------Kill Bill: Vol. 1 Man on Fire Master and Commander: The Far Side of the Pirates of the Caribbean: The Curse of the The Day After Tomorrow The Italian Job The Last Samurai

26

QL and SQL-based relational databases are one of the most important foundation technologies of the computer market today. From its first commercial implementation about two decades ago, SQL has grown to become the standard database language. In its first decade, the backing of IBM, the blessing of standards bodies, and the enthusiastic support of DBMS vendors made SQL a dominant standard for enterprise-class data management. In its second decade, the dominance of SQL extended to personal computer and workgroup environments and to new, databasedriven market segments, such as data warehousing. In the early part of its third decade, SQL stands as the standard database technology for Internet-based computing. The market evidence clearly shows the importance of SQL: