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In a nested-loop join (Figure 134), if an index is available on the inner loop s join attribute, index lookups can replace le scans For each tuple tr in the outer relation r, the index is used to look up tuples in s that will satisfy the join condition with tuple tr This join method is called an indexed nested-loop join; it can be used with existing indices, as well as with temporary indices created for the sole purpose of evaluating the join Looking up tuples in s that will satisfy the join conditions with a given tuple tr is essentially a selection on s For example, consider depositor 1 customer Suppose that we have a depositor tuple with customer-name John Then, the relevant tuples in s are those that satisfy the selection customer-name = John The cost of an indexed nested-loop join can be computed as follows For each tuple in the outer relation r, a lookup is performed on the index for s, and the relevant tuples are retrieved In the worst case, there is space in the buffer for only one page of r and one page of the index Then, br disk accesses are needed to read relation r, where br denotes the number of blocks containing records of r For each tuple in r, we perform an index lookup on s Then, the cost of the join can be computed as br + nr c, where nr is the number of records in relation r, and c is the cost of a single selection on s using the join condition We have seen in Section 133 how to estimate the cost of a single selection algorithm (possibly using indices); that estimate gives us the value of c The cost formula indicates that, if indices are available on both relations r and s, it is generally most ef cient to use the one with fewer tuples as the outer relation For example, consider an indexed nested-loop join of depositor 1 customer, with depositor as the outer relation Suppose also that customer has a primary B+ -tree index on the join attribute customer-name, which contains 20 entries on an average in each index node Since customer has 10,000 tuples, the height of the tree is 4, and one more access is needed to nd the actual data Since ndepositor is 5000, the total cost is 100 + 5000 5 = 25, 100 disk accesses This cost is lower than the 40, 100 accesses needed for a block nested-loop join.

Here s an example of the use of this command with the summary parameter:

The merge join algorithm (also called the sort merge join algorithm) can be used to compute natural joins and equi-joins Let r(R) and s(S) be the relations whose natural join is to be computed, and let R S denote their common attributes Suppose

The McGraw Hill Companies, 2001

ciscoasa# show resource usage summary Resource Current Peak Limit Denied Context Syslogs [rate] 1743 2132 12000(U) 0 Summary Conns 584 763 100000(S) 0 Summary Xlates 8526 8966 93400 0 Summary Host 254 254 262144 0 Summary Conns [rate] 270 535 42200 1704 Summary Inspects [rate] 270 535 100000(S) 0 Summary U = Some contexts are unlimited and are not included in the total S = System: Combined context limits exceed the system limit; the system limit is shown

pr := address of rst tuple of r; ps := address of rst tuple of s; while (ps = null and pr = null) do begin ts := tuple to which ps points; Ss := {ts }; set ps to point to next tuple of s; done := false; while (not done and ps = null) do begin ts := tuple to which ps points; if (ts [JoinAttrs] = ts [JoinAttrs]) then begin Ss := Ss {ts }; set ps to point to next tuple of s; end else done := true; end tr := tuple to which pr points; while (pr = null and tr [JoinAttrs] < ts [JoinAttrs]) do begin set pr to point to next tuple of r; tr := tuple to which pr points; end while (pr = null and tr [JoinAttrs] = ts [JoinAttrs]) do begin for each ts in Ss do begin add ts 1 tr to result ; end set pr to point to next tuple of r; tr := tuple to which pr points; end end Figure 136 Merge join

practice for income producers, but in the case of sales representatives, managing territory size through account assignments ensures that target incentive pay opportunities remain comparable among sales personnel However, in many instances, it s not plausible to reassign accounts In these cases, the movement of accounts is disruptive to customers and sales personnel Simple geographic realities do not always allow for reassignment to other sales personnel As territory size becomes more dissimilar, the use of commission programs becomes more problematicThe eventual solution is the use of a bonus formula method that pays a percent of target incentive as a percent of quota accomplishment Prior to adopting a bonus formula, two methods can extend the utility of commission rates: individual commission rates and sales force stratification

Here s an example of the use of this command for examining the admin context resource usage: