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For selections, the number of distinct values of an attribute (or set of attributes) A in the result of a selection, V (A, (r)), can be estimated in these ways: If the selection condition forces A to take on a speci ed value (eg, A = 3), V (A, (r)) = 1 If forces A to take on one of a speci ed set of values (eg, (A = 1 A = 3 A = 4)), then V (A, (r)) is set to the number of speci ed values If the selection condition is of the form A op v, where op is a comparison operator, V (A, (r)) is estimated to be V (A, r) s, where s is the selectivity of the selection In all other cases of selections, we assume that the distribution of A values is independent of the distribution of the values on which selection conditions are speci ed, and use an approximate estimate of min(V (A, r), n (r) ) A more accurate estimate can be derived for this case using probability theory, but the above approximation works fairly well For joins, the number of distinct values of an attribute (or set of attributes) A in the result of a join, V (A, r 1 s), can be estimated in these ways: If all attributes in A are from r, V (A, r 1 s) is estimated as min(V (A, r), nr1s), and similarly if all attributes in A are from s, V (A, r 1 s) is estimated to be min(V (A, s), nr1s )

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If A contains attributes A1 from r and A2 from s, then V (A, r 1 s) is estimated as min(V (A1, r) V (A2 A1, s), V (A1 A2, r) V (A2, s), nr1s )

After enabling failover on the primary appliance, verify the failover process with the show failover command Here s an example of verifying failover on the primary appliance when the secondary hasn t been turned on yet:

Note that some attributes may be in A1 as well as in A2, and A1 A2 and A2 A1 denote, respectively, attributes in A that are only from r and attributes

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primary# show failover Failover On Failover unit Primary Failover LAN Interface: N/A - Serial-based failover enabled Unit Poll frequency 500 milliseconds, holdtime 6 seconds Interface Poll frequency 600 milliseconds, holdtime 15 seconds Interface Policy 1 Monitored Interfaces 2 of 250 maximum Version: Ours 72(1), Mate Unknown Last Failover at: 13:21:38 UTC Dec 10 2006 This host: Primary Active Active time: 200 (sec) Interface outside (19216812): Normal (Waiting) Interface inside (10011): Normal (Waiting) Other host: Secondary Not detected Active time: 0 (sec) Interface outside (19216817): Unknown (Waiting) Interface inside (10017): Unknown (Waiting) Stateful Failover Logical Update Statistics Link : Unconfigured

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In both step bonus formulas presented, the payout amounts are very similarThe only change is the basis used for the target incentive base salary is used in the first example and target incentive is used in the second example Both approaches are effective One elevates the importance of the base salary, while the other ignores the base salary and places significant emphasis on the target incentive amountWhen using the target incentive amount, the dollars can be equal for all sales personnel in the same job or can vary based on sales management s value of the territory and contribution of the salesperson

The McGraw Hill Companies, 2001

Notice that at the top of the preceding example, this appliance is using serial-based failover, with the primary end of the cable plugged into it At the bottom of the example, notice that this appliance is in an active role, and the secondary appliance hasn t been detected yet (because it is turned off) Also notice at the very bottom of the example that stateful failover hasn t been configured

in A that are only from s Again, more accurate estimates can be derived by using probability theory, but the above approximations work fairly well The estimates of distinct values are straightforward for projections: They are the same in A (r) as in r The same holds for grouping attributes of aggregation For results of sum, count, and average, we can assume, for simplicity, that all aggregate values are distinct For min(A) and max(A), the number of distinct values can be estimated as min(V (A, r), V (G, r)), where G denotes the grouping attributes We omit details of estimating distinct values for other operations

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