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join can be expressed as a theta join followed by elimination of repeated attributes by a projection The only change required is an extra step of deleting repeated attributes from the tuple tr ts , before adding it to the result The nested-loop join algorithm is expensive, since it examines every pair of tuples in the two relations Consider the cost of the nested-loop join algorithm The number of pairs of tuples to be considered is nr ns , where nr denotes the number of tuples in r, and ns denotes the number of tuples in s For each record in r, we have to perform a complete scan on s In the worst case, the buffer can hold only one block of each relation, and a total of nr bs + br block accesses would be required, where br and bs denote the number of blocks containing tuples of r and s respectively In the best case, there is enough space for both relations to t simultaneously in memory, so each block would have to be read only once; hence, only br + bs block accesses would be required If one of the relations ts entirely in main memory, it is bene cial to use that relation as the inner relation, since the inner relation would then be read only once Therefore, if s is small enough to t in main memory, our strategy requires only a total br + bs accesses the same cost as that for the case where both relations t in memory Now consider the natural join of depositor and customer Assume for now that we have no indices whatsoever on either relation, and that we are not willing to create any index We can use the nested loops to compute the join; assume that depositor is the outer relation and customer is the inner relation in the join We will have to examine 5000 10000 = 50 106 pairs of tuples In the worst case, the number of block accesses is 5000 400 + 100 = 2,000,100 In the best-case scenario, however, we can read both relations only once, and perform the computation This computation requires at most 100 + 400 = 500 block accesses a signi cant improvement over the worst-case scenario If we had used customer as the relation for the outer loop and depositor for the inner loop, the worst-case cost of our nal strategy would have been lower: 10000 100 + 400 = 1,000,400.

If the buffer is too small to hold either relation entirely in memory, we can still obtain a major saving in block accesses if we process the relations on a per-block basis, rather than on a per-tuple basis Figure 135 shows block nested-loop join, which is a variant of the nested-loop join where every block of the inner relation is paired with every block of the outer relation Within each pair of blocks, every tuple in one block

ciscoasa(config)# class resource-CTX1 ciscoasa(config-class)# limit-resource asdm 3 ciscoasa(config-class)# limit-resource ssh 3 ciscoasa(config-class)# limit-resource conns 50% ciscoasa(config)# context CTX1 ciscoasa(config-ctx)# member resource-CTX1

The McGraw Hill Companies, 2001

In this example, no more than three ASDM and three SSH management sessions are allowed, and users sending traffic through the CTX1 context cannot use more than 50 percent of the entries in the state table

for each block Br of r do begin for each block Bs of s do begin for each tuple tr in Br do begin for each tuple ts in Bs do begin test pair (tr , ts ) to see if they satisfy the join condition if they do, add tr ts to the result end end end end Figure 135 Block nested-loop join

Figure 2-10 displays both discrete and cumulative performance measurement and payment periods As the cumulative period to date performance/payment periods demonstrate in Figure 2-10, the salesperson always carries the responsibility for year-to-date performance even though payouts are being made on a quarterly basis Each quarter, the year-to-date performance and incentive are calculated To make the quarterly payments, any previous quarterly payments are subtracted from this year-to-date amount before the final payment for the quarter is made A sales compensation plan might have several formula components Some might be paid with a discrete performance/payment period while others might be paid with a cumulative period-to-date performance/payment period

You can see what resources have been allocated to a context by using the show resource allocation command:

.

ciscoasa# show resource allocation [detail]