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27:

Functional dependencies are constraints on the set of legal relations They allow us to express facts about the enterprise that we are modeling with our database

Logging IPS/CSC (if you have either of these modules installed)

The McGraw Hill Companies, 2001

To access interface statistics, go to Monitoring | Interfaces From here you can view the appliance ARP table, DHCP server statistics, interface statistics, and PPPoE client information Figure 27-32 shows an example of the displaying Interface statistics: from the Interfaces tab, I first selected the interface (inside) in the Interface Graphs pane and then selected Bit Rates in the middle pane I then clicked the Add button to add the information to the graph, and clicked the Show Graphs button at the bottom of the screen A window popped up, displaying the Kbps of traffic entering and leaving the inside interface NOTE The fastest that monitoring statistics can be updated is every 10 seconds in the pop-up window

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When you click the VPN tab in the left pane, you can display statistics related to VPN sessions and tunnels: Easy VPN Remotes, L2L connections, L2TP sessions, and WebVPN (clientless and AnyConnect) sessions As an example (see Figure 27-33), I went to Monitoring | VPN | VPN Statistics | Sessions At the top is a summary of the VPN sessions connected to the appliance In the Filter By drop-down selector in the middle pane, I qualified the output to just WebVPN clientless sessions, of which currently one session is active

In 2, we de ned the notion of a superkey as follows Let R be a relation schema A subset K of R is a superkey of R if, in any legal relation r(R), for all pairs t1 and t2 of tuples in r such that t1 = t2 , then t1 [K] = t2 [K] That is, no two tuples in any legal relation r(R) may have the same value on attribute set K The notion of functional dependency generalizes the notion of superkey Consider a relation schema R, and let R and R The functional dependency holds on schema R if, in any legal relation r(R), for all pairs of tuples t1 and t2 in r such that t1 [ ] = t2 [ ], it is also the case that t1 [ ] = t2 [ ] Using the functional-dependency notation, we say that K is a superkey of R if K R That is, K is a superkey if, whenever t1 [K] = t2 [K], it is also the case that t1 [R] = t2 [R] (that is, t1 = t2 ) Functional dependencies allow us to express constraints that we cannot express with superkeys Consider the schema Loan-info-schema = (loan-number, branch-name, customer-name, amount) which is simpli cation of the Lending-schema that we saw earlier The set of functional dependencies that we expect to hold on this relation schema is loan-number amount loan-number branch-name We would not, however, expect the functional dependency loan-number customer-name to hold, since, in general, a given loan can be made to more than one customer (for example, to both members of a husband wife pair) We shall use functional dependencies in two ways: 1 To test relations to see whether they are legal under a given set of functional dependencies If a relation r is legal under a set F of functional dependencies, we say that r satis es F 2 To specify constraints on the set of legal relations We shall thus concern ourselves with only those relations that satisfy a given set of functional dependencies If we wish to constrain ourselves to relations on schema R that satisfy a set F of functional dependencies, we say that F holds on R Let us consider the relation r of Figure 72, to see which functional dependencies are satis ed Observe that A C is satis ed There are two tuples that have an A value of a1 These tuples have the same C value namely, c1 Similarly, the two tuples with an A value of a2 have the same C value, c2 There are no other pairs of distinct tuples that have the same A value The functional dependency C A is not satis ed, however To see that it is not, consider the tuples t1 = (a2 , b3 , c2 , d3 ) and.

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