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In a concurrent transaction-processing system, we require that the checkpoint log record be of the form <checkpoint L>, where L is a list of transactions active at the time of the checkpoint Again, we assume that transactions do not perform updates either on the buffer blocks or on the log while the checkpoint is in progress The requirement that transactions must not perform any updates to buffer blocks or to the log during checkpointing can be bothersome, since transaction processing will have to halt while a checkpoint is in progress A fuzzy checkpoint is a checkpoint where transactions are allowed to perform updates even while buffer blocks are being written out Section 1795 describes fuzzy checkpointing schemes

When the system recovers from a crash, it constructs two lists: The undo-list consists of transactions to be undone, and the redo-list consists of transactions to be redone The system constructs the two lists as follows: Initially, they are both empty The system scans the log backward, examining each record, until it nds the rst <checkpoint> record: For each record found of the form <Ti commit>, it adds Ti to redo-list For each record found of the form <Ti start>, if Ti is not in redo-list, then it adds Ti to undo-list When the system has examined all the appropriate log records, it checks the list L in the checkpoint record For each transaction Ti in L, if Ti is not in redo-list then it adds Ti to the undo-list Once the redo-list and undo-list have have been constructed, the recovery proceeds as follows: 1 The system rescans the log from the most recent record backward, and performs an undo for each log record that belongs transaction Ti on the undo-list Log records of transactions on the redo-list are ignored in this phase The scan stops when the <Ti start> records have been found for every transaction Ti in the undo-list 2 The system locates the most recent <checkpoint L> record on the log Notice that this step may involve scanning the log forward, if the checkpoint record was passed in step 1 3 The system scans the log forward from the most recent <checkpoint L> record, and performs redo for each log record that belongs to a transaction Ti that is on the redo-list It ignores log records of transactions on the undo-list in this phase It is important in step 1 to process the log backward, to ensure that the resulting state of the database is correct

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These examples demonstrate two points about normalization First, tables with multiple, composite candidate keys are difficult to analyze You need to study carefully the dependen cies in each example (Figures 74 and 75) to understand the conclusions about the normal form violations Second, most tables in 3 N F (even ones with multiple composite, candidate keys) are also in BCNF The examples in Figures 74 and 75 were purposely constructed to depict the difference between 3 N F and BCNF The importance o f B C N F is that it is a simpler definition and can be applied in the procedure described in the next section

The McGraw Hill Companies, 2001

Cisco Discovery Protocol (CDP)

17

The simple synthesis procedure can be used to generate tables satisfying B C N F starting with a list o f functional dependencies The word synthesis means that the individual func tional dependencies are combined to construct tables This usage is similar to other disci plines such as music where synthesis involves combining individual sounds to construct larger units such as melodies, scores, and so on Figure 76 depicts the steps o f the simple synthesis procedure The first two steps elimi nate redundancy b y removing extraneous columns and derived F D s The last three steps produce tables for collections o f F D s The tables produced in the last three steps may not be correct if redundant F D s are not eliminated

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