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A DBV rule set controls the auditing and error-handling aspects for any DBV component with which it is used This means that auditing on failure for a DBV rule set will audit when the rule set is used with a DBV command rule or DBV realm authorization The DBV rule set contains just one DBV rule, Is Maintenance Timeframe , but an organization could define additional rules that might be required to match the business rules for system maintenance Once the DBV rule set is defined, a DBV command rule for a potentially dangerous database command such as DROP TABLE can be defined to use this DBV rule set to protect any of the tables in the SH object owner account:

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What you ll normally want to do is assign the new window to a variable so that you can easily resize or reposition it, as discussed later in this section For example, the following statement assigns the new window created by the new window on workbook command to the variable myWindow:

dbvowner@aos> BEGIN dbms_macadmcreate_command_rule ( command => 'DROP TABLE' ,rule_set_name => 'Is System Maintenance Allowed' ,object_owner => 'SH' ,object_name => '%' ,enabled => 'Y' ); END; / PL/SQL procedure successfully completed

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set myWindow to new window on workbook workbook "Migration Patternsxlsx"

If the junior database administrator ANTHONY attempts to issue the DROP TABLE command outside of this maintenance window time frame on one of the objects protected by the Sales History realm, the command will fail our DBV command rule:

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Figure 59 Top: Prim s minimum spanning tree algorithm Below: An illustration of Prim s algorithm, starting at node A Also shown are a table of cost/prev values, and the nal MST procedure prim(G, w) Input: A connected undirected graph G = (V, E) with edge weights w e Output: A minimum spanning tree defined by the array prev for all u V : cost(u) = prev(u) = nil Pick any initial node u0 cost(u0 ) = 0 H = makequeue (V ) (priority queue, using cost-values as keys) while H is not empty: v = deletemin(H) for each {v, z} E: if cost(z) > w(v, z): cost(z) = w(v, z) prev(z) = v decreasekey(H, z)

To activate a window, use an activate command first on the Excel application object and then on the window object For example, the following repeat block activates the window

anthony@aos>SELECT TO_CHAR(SYSDATE,'DAY') "DAY_OF_WEEK", TO_CHAR(SYSDATE,'HH24') "HOUR_OF_DAY" FROM DUAL; DAY_OF_WEEK HO ------------------------------------ -MONDAY 10

In the MP3 audio compression scheme, a sound signal is encoded in three steps 1 It is digitized by sampling at regular intervals, yielding a sequence of real numbers s1 , s2 , , sT For instance, at a rate of 44,100 samples per second, a 50-minute symphony would correspond to T = 50 60 44,100 130 million measurements 1

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with the caption Amortizationxlsx by going through the open windows until it finds the one with the right caption:

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2 Each real-valued sample st is quantized: approximated by a nearby number from a nite set This set is carefully chosen to exploit human perceptual limitations, with the intention that the approximating sequence is indistinguishable from s 1 , s2 , , sT by the human ear 3 The resulting string of length T over alphabet is encoded in binary It is in the last step that Huffman encoding is used To understand its role, let s look at a toy example in which T is 130 million and the alphabet consists of just four values, denoted by the symbols A, B, C, D What is the most economical way to write this long string in binary The obvious choice is to use 2 bits per symbol say codeword 00 for A, 01 for B, 10 for C, and 11 for D in which case 260 megabits are needed in total Can there possibly be a better encoding than this In search of inspiration, we take a closer look at our particular sequence and nd that the four symbols are not equally abundant Symbol A B C D Frequency 70 million 3 million 20 million 37 million

repeat with i from 1 to count of windows if the caption of window i is "Amortizationxlsx" then activate activate object window i return end if end repeat

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