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Endianness is the method of representing multibyte data by computer systems The endianness of a platform can be of two types little endian and big endian Little-endian systems store the least significant byte of the memory in the lowest address, whereas the big-endian systems store the most significant byte of the memory in the lowest address The lowest memory address of multibyte data is the starting address of the data Some examples of little-endian systems are Linux and Windows, and big-endian systems are HP-UX and Sun SPARC When moving data between platforms of different endian formats, the data needs to be converted so that the data integrity remains preserved This is not an issue with logical migrations, since the SQL layer will be performing the endian conversion But in physical migrations, the data is migrated at the block level as-is, and there needs to be an additional step that performs the endian conversion The RMAN CONVERT command can accomplish this conversion

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Figure 711 In the most general case of linear programming, we have a set I of inequalities and a set E of equalities (a total of m = |I| + |E| constraints) over n variables, of which a subset N are constrained to be nonnegative The dual has m = |I| + |E| variables, of which only those corresponding to I have nonnegativity constraints Primal LP: ai1 x1 + + ain xn bi for i I xj 0 for j N max c1 x1 + + cn xn Dual LP: a1j y1 + + amj ym cj for j N yi 0 for i I min b1 y1 + + bm ym

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Using the transportable database method, an entire database can be migrated from one platform to another as long as the source and destination platforms have the same endian format The method involves transferring the data files to the Database Machine, performing the RMAN convert operation if there is a change in the OS, and running the transport script at the end, which opens the newly transported database Some key considerations of using the transportable database method are

If we fast forward to Friday at 5 PM, we can demonstrate the success scenario for enabling the DBV SAR and leveraging the privileges the role provides:

Amazingly, this is not just a lucky example, but a general phenomenon To start with, the preceding construction creating a multiplier for each primal constraint; writing a constraint in the dual for every variable of the primal, in which the sum is required to be above the objective coef cient of the corresponding primal variable; and optimizing the sum of the multipliers weighted by the primal right-hand sides can be carried out for any LP, as shown in Figure 710, and in even greater generality in Figure 711 The second gure has one noteworthy addition: if the primal has an equality constraint, then the corresponding multiplier (or dual variable) need not be nonnegative, because the validity of equations is preserved when multiplied by negative numbers So, the multipliers of equations are unrestricted variables Notice also the simple symmetry between the two LPs, in that the matrix A = (a ij ) de nes one primal constraint with each of its rows, and one dual constraint with each of its columns By construction, any feasible solution of the dual is an upper bound on any feasible solution of the primal But moreover, their optima coincide! Duality theorem If a linear program has a bounded optimum, then so does its dual, and the two optimum values coincide 205

The source database version needs to be 112 and the source platform should be little-endian based When the source is on a non-Linux based, little-endian platform, an additional step of converting the database files to Linux format is involved The RMAN CONVERT command is utilized to perform this operation If using the RMAN CONVERT command to perform file conversion, then consider converting the files on the Database Machine after the transfer is complete The conversion will be much faster because of the high performance and throughput of the Exadata Storage Servers

scott@aos> -- show the date and time of day factors that affect scott@aos> -- the DBV Rule Set that controls the role enablement scott@aos>SELECT TO_CHAR(SYSDATE,'DAY') "DAY_OF_WEEK", TO_CHAR(SYSDATE,'HH24') "HOUR_OF_DAY" FROM DUAL; DAY_OF_WEEK HO ------------------------------------ -FRIDAY 17 1 row selected scott@aos> -- attempt to enable the role, which will succeed scott@aos>EXEC dvsysdbms_macsec_rolesset_Role('SALES_ARCHIVE_ROLE'); PL/SQL procedure successfully completed scott@aos> -- attempt to use the privileges granted to the scott@aos> -- role by deleting records greater than 10 years old scott@aos>DELETE shsales WHERE time_id < (SYSDATE-(365*10)); 221651 rows deleted

When the primal is the LP that expresses the max- ow problem, it is possible to assign interpretations to the dual variables that show the dual to be none other than the minimumcut problem (Exercise 725) The relation between ows and cuts is therefore just a speci c instance of the duality theorem And in fact, the proof of this theorem falls out of the simplex algorithm, in much the same way as the max- ow min-cut theorem fell out of the analysis of the max- ow algorithm

FIGURE 5-13

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Part II:

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