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The method cannot be used for correction, except for some transpositions Transposition of adjacent digits is a common error in manual entry and can easily be spotted in checksum comparisons, since transposition causes a checksum with errors in two adjacent digits, with a digit error sum of 9; an example is given in Fig 11-4 Another technique to avoid errors in manually prepared data is the use of transaction sequence numbers Each batch of input documents for one transaction is assigned a sequential identi er and this number is also entered The data-entry program can check that all transactions have been received If it is important that transactions are processed in the same sequence, the check can simply verify that transaction numbers increase by one Many such systems check transactions in this manner, but the sequentiality constraint may place unnecessary constraints on operations If one batch is late, all processing ceases 11-2-5 Natural Redundancy Even without explicit addition of redundant information, we nd that much data coding is highly redundant A prime example is information coded in English or any other natural language If the data processed is English text, a dictionary look-up can be used to detect errors, and with intelligent processing, as done by human beings when reading text with typographical errors, a large fraction of singlecharacter errors might corrected Frequently the number of choices in coded data are much more limited than the whole of the English language, and simple searches, possibly to lexicons accessed directly or via indexes, can determine whether an entry is valid Such look-ups are performed routinely to verify items entered such as employee names, identi cation codes, and similar data elements in many processing systems There frequently is a considerable amount of redundancy within the character encoding itself; and this too can be used for error detection An 8-bit code, for instance, allows 256 characters, but frequently the data are restricted to uppercase letters (26) or alphanumeric (36) characters (see Sec 14-2) Filtering to detect erroneous characters can be done at little incremental e ort during other text-processing operations and can prevent serious problems which may be caused when wrong characters enter communications channels A bad character may have unexpected control functions such as mode shifts, disconnect, or screen erase on displays 11-2-6 Error Compensation Careful system design can reduce the e ect of some errors As an example we will cite a case where data is acquired periodically.

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counter: counter: counter: counter: counter: counter: counter: counter: counter: counter: 0 1 2 3 4 5 6 7 8 9

The electric meter on a house is read every month If a transcription error occurs, there may be an overbilling in one month, but next month, if the reading is entered correctly, there will be a compensating underbilling There is, in fact, a duplicate memory here; one is the meter and the other is the computer le If the meter were reset after each reading, a transcription error would not be compensated

The counter variable is initialized to zero in the initializer:

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Wherever errors are not compensated the database can diverge from the real world If an inventory is maintained using counts of items sold and items purchased, periodic veri cation is essential 11-2-7 Bu er Protection File data are most vulnerable while they are in primary memory, especially where computer systems are used for many parallel tasks or undergo frequent change Checksums taken of a bu er contents may be used to verify that data have not been changed by other than approved procedure The maintenance and frequent recalculation of checksums can be quite costly Another alternative to protect bu ers is the use of barriers These consist of a pair of codes which are apt to occur infrequently The bu er contents itself is not veri ed, but the barriers are matched at critical times Such checks will prevent the use of bu ers which have been damaged by overruns or over ows from other areas due to loop or limit code failures Since a great fraction of programming errors are due to limit failures, and since these errors are not easily detected by their perpetrators, the use of check barriers can provide a fair amount of protection at low cost No correction capability is provided A barrier value which is not a de ned character code, not a normalized oatingpoint number, a very large negative integer, and not a computer instruction is depicted in Fig 11-5

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for (int counter=0; counter<10; counter++)

Figure 11-5

The value of counter is tested in the expression part of the header:

311 Creating and Modifying Relations Using SQL-92

for (int counter=0; counter<10; counter++)

11-2-8 Feedback We discussed in Sec 5-2 how human error detection can be aided by interactive selection and playback It cannot be emphasized too much that the best quality control consists of frequent generation of useful output to the various levels of personnel involved in data collection, preparation, and entry Neither mechanical means nor constant exhortations will keep the contents of a database at an acceptable level when the data are not used regularly It is especially important to assure correctness of data which will be stored for long periods of time A failure in a le of historic data is frequently not correctable, since the source material will have turned to some functional equivalent of dust

Finally, the value of counter is incremented in the iterator part of the header:

Sec 11-3 11-3

for (int counter=0; counter<10; counter++)

In the previous sections we have treated general aspects of le-system reliability, and we can now consider issues speci c to databases We relate issues of database reliability with the successful completion of transactions As presented in Sec 1-7-5 we de ne a transaction as a program which changes the state of the database so that, if the initial state of the database was correct and the transaction does not introduce an error due to a fault or bad input data, the state of the database is again correct after the transaction has successfully terminated If the transaction does not terminate properly, none of its e ects should be visible in the database The issue of input errors is often ignored in papers discussing transaction control We do consider input errors in the approaches that will be presented We now analyze transactions and in Sec 11-3-2 techniques to deal with errors

The initialization part runs only once, when the for loop begins. The integer value counter is created and initialized to zero, and the test is then executed. Because counter is less than 10, the body of the for loop runs and the value is displayed. After the loop completes, the iterator part of the header runs and counter is incremented. The value of the counter is tested, and, if the test evaluates true, the body of the for statement is executed again.