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In the general case we have to assume the index changes will be randomly distributed among the blocks of an index Given the expected loading density of 69%, there will be n a b1 = 144 3-64 y a rst level index blocks for one attribute; then the probability, given random data changes, of requiring another index block is high: P i = (b1 1)/b1 For large les P i will be close to 1, so that Eqs 3-60 to 3-62 remain appropriate However, Eq 3-62 is of interest whenever it can be shown that P i will be low because of the behavior of data value changes for updated attributes Important cases exist in real-time systems, where the database receives values from devices that monitor changes in the operation of some ongoing physical process Changes in pressure, temperature, or flow occur mainly gradually, making P i small In such systems the data is often acquired at high rates, so that the improved le performance could be critical Non-Uniform Update Distribution The uniform behavior assumed for insertion and update patterns represents the best behavior that can be expected Unfortunately the growth of an index is rarely evenly distributed over the range of attribute values Updating tends to be periodically heavy in one area, and then concentrate again on other attributes Consider for instance a stock-market le, over some hours there is much activity in a stock which is in the news, and later there will be little activity there These irregularities a ect system behavior An analysis of these conditions requires statistics about application update behavior which we do not have available here We will not evaluate their e ect here, but note that if there exists a good understanding of the frequency of attribute changes and of the value-change ranges, a more precise estimate of update cost can be made, by re ning the concepts presented above.

Read Entire Indexed File The basic fully indexed organization is poorly suited for exhaustive searches When necessary, such searches may be accomplished by using the space-allocation information, or by serial reading of the le using some exhaustive index An exhaustive index is created when the referred data element is

4

#include <stdioh> #include <stringh> int main(void) { char s1[80], s2[80]; gets(s1); gets(s2); printf("lengths: %d %d\n", strlen(s1), strlen(s2)); if(!strcmp(s1, s2)) printf("The strings are equal\n"); strcat(s1, s2); printf("%s\n", s1); strcpy(s1, "This is a test\n"); printf(s1); if(strchr("hello", 'e')) printf("e is in hello\n"); if(strstr("hi there", "hi")) printf("found hi"); return 0; }

Sec 3-4

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and performance of processes, and hence of the computations that were speci ed, determine the performance of database systems 1-2-2 Process Sections A process itself can be decomposed into a number of sections A section is the collection of program steps during which the operating system does not have to worry about the process When a process stops, requests data from a le, requires a new allocation of storage space, and so on, the operating system has to intervene When, for instance, a record from a le is requested, the operating system has to assure that the record is not currently being modi ed by another process A section of a process which presents such interaction potential is known as a critical section Figure 1-5 sketches a process with its sections

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