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Assume that the strategy chosen to process this request is given by the pseudocode program shown in Figure 115 (We shall study other strategies in 13) Assume that the two relations of this example are stored in separate les In this example, we can see that, once a tuple of borrower has been processed, that tuple is not needed again Therefore, once processing of an entire block of borrower tuples is completed, that block is no longer needed in main memory, even though it has been used recently The buffer manager should be instructed to free the space occupied by a borrower block as soon as the nal tuple has been processed This buffer-management strategy is called the toss-immediate strategy Now consider blocks containing customer tuples We need to examine every block of customer tuples once for each tuple of the borrower relation When processing of a customer block is completed, we know that that block will not be accessed again until all other customer blocks have been processed Thus, the most recently used customer block will be the nal block to be re-referenced, and the least recently used
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customer block is the block that will be referenced next This assumption set is the exact opposite of the one that forms the basis for the LRU strategy Indeed, the optimal strategy for block replacement is the most recently used (MRU) strategy If a customer block must be removed from the buffer, the MRU strategy chooses the most recently used block For the MRU strategy to work correctly for our example, the system must pin the customer block currently being processed After the nal customer tuple has been processed, the block is unpinned, and it becomes the most recently used block In addition to using knowledge that the system may have about the request being processed, the buffer manager can use statistical information about the probability that a request will reference a particular relation For example, the data dictionary that (as we will see in detail in Section 118) keeps track of the logical schema of the relations as well as their physical storage information is one of the most frequently accessed parts of the database Thus, the buffer manager should try not to remove data-dictionary blocks from main memory, unless other factors dictate that it do so In 12, we discuss indices for les Since an index for a le may be accessed more frequently than the le itself, the buffer manager should, in general, not remove index blocks from main memory if alternatives are available The ideal database block-replacement strategy needs knowledge of the database operations both those being performed and those that will be performed in the future No single strategy is known that handles all the possible scenarios well Indeed, a surprisingly large number of database systems use LRU, despite that strategy s faults The exercises explore alternative strategies The strategy that the buffer manager uses for block replacement is in uenced by factors other than the time at which the block will be referenced again If the system is processing requests by several users concurrently, the concurrency-control subsystem ( 16) may need to delay certain requests, to ensure preservation of database consistency If the buffer manager is given information from the concurrencycontrol subsystem indicating which requests are being delayed, it can use this information to alter its block-replacement strategy Speci cally, blocks needed by active (nondelayed) requests can be retained in the buffer at the expense of blocks needed by the delayed requests The crash-recovery subsystem ( 17) imposes stringent constraints on block replacement If a block has been modi ed, the buffer manager is not allowed to write back the new version of the block in the buffer to disk, since that would destroy the old version Instead, the block manager must seek permission from the crashrecovery subsystem before writing out a block The crash-recovery subsystem may demand that certain other blocks be force-output before it grants permission to the buffer manager to output the block requested In 17, we de ne precisely the interaction between the buffer manager and the crash-recovery subsystem
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