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2-3-6 Updating Blocks Updating of data contained within a block requires more time than either the read or write operation alone, since at least one read and one write is required To append a record to the le, it has to be inserted into an existing block containing predecessor records unless that last block happens to be full This last block may still be read to nd out that it is full, unless counters, kept in the le directory in memory, keep track of the status of the last block written Change of an existing record will always require the block to be read so that all other records, and other elds of the changed record, are available After the reading of a block, the new record is inserted into the memory bu er containing the block and the block is rewritten In most instances it is necessary to rewrite the block into its original position so that the le structure remains unchanged If the insertion of the record in the memory bu er for the block is fast, it will be possible to rewrite the block during the next disk revolution Such a rewrite operation will take one revolution or approximately TRW = 2r if cupdate 2r 2-30

This assumption is generally made throughout the text This condition is not as restrictive as the one required to continuously read sequential data (Eq 2-22), since 2r = nbt btt btt for multiple blocks per track (nbt > 1), and cupdate < c Bfr for one record being changed at a time For devices other than disks the rewrite time has to be speci cally analyzed For magnetic-tape units with the capability to backspace a block, the value 2r can be replaced by two block transfer times and two delays to account for the gaps, or TRW 2(B + G)/t 2B/t Some typical values of TRW are given in Table 2-1

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Sample Offering Table CourseNo IS320 IS320 IS460 IS320 IS320 IS320 IS480 IS480 IS460 OffTerm SUMMER FALL SUMMER SPRING FALL SPRING SPRING SPRING SPRING OffYear 2006 2005 2005 2006 2005 2006 2006 2006 2006 OffLocation BLM302 BLM302 BLM412 BLM214 BLM214 BLM302 BLM302 BLM412 BLM307 OffTime 10:30 AM 10:30 AM 1:30 PM 8:30 AM 3:30 PM 3:30 PM 10:30 AM 3:30 PM 1:30 PM FacSSN 098-76-5432 098-76-5432 098-76-5432 543-21-0987 987-65-4321 876-54-3210 654-32-1098 OffDays MW MW TTH MW TTH TTH MW TTH TTH

Conditions for Rewriting in One Revolution A more rigorous limit on the allowable value of c for disk rewrites can be deduced by inspecting Fig 2-17 The assumption that TRW = 2r, for the rewriting of a single block i, is valid when the time required for computation and update c is such that the following relation will be true: TRW = 2r if c < 2r (nbt 1)(B + G) + G nbt (B + G) or if c < 2r nbt 1 nbt 2-31

template <class BinFunc> class binder1st: public unary_function(typename BinFunc::second_argument_type, typename BinFunc::result_type> { protected: BinFunc op; typename BinFunc::first_argument_type value; public:

If there is more than one block per track (nbt > 1) and the system is designed so that the update has su cient priority, this condition will generally be true

example, the first and third rows of the Enrollment table have the same StdSSN value (123-45-6789) as the first row of the Student table Likewise, the values in the OfferNo column of the Enrollment table match the OfferNo column in the Offering table (Table 34) Figure 31 shows a graphical depiction of the matching values The concept of matching values is crucial in relational databases As you will see, relational databases typically contain many tables Even a modest-size database can have 10 to 15 tables Large databases can have hundreds of tables To extract meaningful information, it is often necessary to combine multiple tables using matching values By matching on StudentStdSSN and EnrollmentStdSSN, you could combine the Student and Enrollment tables Similarly, by matching on Enrollment OfferNo and Offering OfferNo,

Sec 2-4

35:

0 1 1 1 3 2 2 1 0 3 1 2 1 1 3 1 1 0 1 4 0 0

When columns have identical names in two tables, it is customary to precede the column name with the table name and a period as StudentStdSSN and EnrollmentStdSSN

Remarks Begin value first train: second train: third train: fourth train: fifth train: sixth train: seventh train: eighth train: ninth train: tenth train:

binder1st(const BinFunc &op, const typename BinFunc::first_argument_type &v); result_type operator()(const argument_type &v) const; }; template <class BinFunc> class binder2nd: public unary_function(typename BinFunc::first_argument_type, typename BinFunc::result_type> { protected: BinFunc op; typename BinFunc::second_argument_type value; public: binder2nd(const BinFunc &op, const typename BinFunc::second_argument_type &v); result_type operator()(const argument_type &v) const; };

This example shows the abbreviations if there were only one record per data train In practice one extreme record per train is chosen as anchor The anchor in vsam is the immediate successor record, that is, the rst record in the next train Otherwise it could not be determined if a reference to BIGLOW would be an existing entry in the third train or a new entry in the second train

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