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For these types of workload mixes, the ability to divide resources at different priority levels is the key. With Database Resource Manager, you can specify that the response-critical components are in the top priority group, receiving either all resources or some percentage of overall CPU. All other groups will only receive the CPU cycles that are left over from this top priority group, ensuring that any CPUbound delays affect all noncritical tasks before they touch the high priority group just the type of allocation that an OLTP workload would benefit from. One other standard Oracle feature requires some discussion as it applies to the Exadata platform and OLTP workloads. The Oracle Database supports a number of types of indexes, and these indexes are used for a variety of purposes, from implementing constraints, such as uniqueness and foreign constraints, to use as a way to improve the performance of specific data access operations. For non-Exadata environments, the use of a full table or full index scan could result in poor performance, since these operations incur a high I/O cost. As you have seen, though, through the use of features such as offloading certain types of query processing, full table scans on an Exadata Database Machine can really fly one published example showed that a full table scan of 2 million rows took approximately the same time as retrieving 10 to 15 single data blocks. This type of performance with full table and full index scans can eliminate the need for some indexes whose purpose is strictly to improve retrieval performance. Because of the elimination of this need, you can frequently eliminate a portion of existing indexes on your data, which can cut down correspondingly on the cost of database writes, since the eliminated indexes will not have to be updated. You can use the option of making an index invisible to the optimizer to quickly compare query performance with and without the use of one or more indexes.
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hereditary, 1153t in infants and children, 200, 464 axonal, giant, 1154t diabetic, 1134 1137 entrapment, 1171 1172 hypertrophic, of infancy, 1155 1156 mitochondrial, 1154t peripheral, orthostatic hypotension with, 463 464 sensory acute, 1128 hereditary, 1153t small- ber, 1114 tremor of, 81t, 82 vestibular, 263 Neuropathy, ataxia, and retinitis pigmentosa syndrome (NARP), 844, 1158 Neurophysiology, importance of knowledge about, 9 Neuroretinitis, 214 215 Neuroserpinopathy, 909 Neuroses, 513, 1291, 1292 1301 anxiety, 1292 1295 compensation, 122, 281, 1299 1300 EEG in, 29 hysterical, 1297 1301 obsessive-compulsive, 1295 1297 phobic, 1295 Neurosyphilis, 614 618 asymptomatic, 616 congenital, 883 etiology and pathogenesis of, 614 615, 615f in HIV/AIDS, 647 meningeal, 616 meningovascular, 616 nerve deafness in, 618 optic atrophy in, 618 paretic, 616 617 serologic diagnosis of, 615 spinal, 618 tabetic, 617 618 Neurotoxin sh poisoning, 1033 Neurotransmitters. See also speci c neurotransmitters age-related changes in, 523 in Alzheimer s disease, 903 in basal ganglia, 59 61 in schizophrenia, 1324 1325 Neurovascular compression, 186 Neurovascular syndromes, 667 684 anterior cerebral artery, 672 673, 673f anterior choroidal artery, 673 carotid artery, 667, 668f 670f, 669 671 lacunar, 682, 684 middle cerebral artery, 671 672
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The derivative of the scalar with respect to the matrix A is de ned by d d d . . . da1n da11 da12 d d d . . . da2n da21 d da22 . (B.54) = . . . .. . . dA . . . . . d d d . . . damn dam1 dam2 For the scalar operation de ned by the trace, the following di erentiation formulas are useful: d trace(AB) dA d trace(ABA ) dA = B (AB must be square) (B.55)
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AutoCAD places a small circle at each of the 20 equally spaced points, as shown in Fig. 31-5. 3. Display the same dialog box (press the spacebar). 4. Experiment with other point styles and adjust the point size. 5. Display the Point Style dialog box again and set the style to the last one in the top row. 6. Pick OK to close the dialog box.
body { border-style: none; background-color: #ffffff; } .dataEntry { font-family: Arial, Helvetica, sans-serif; font-size: 11px; font-weight: normal; font-style: normal; font-variant: small-caps; text-transform: none;
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function getData(dataSource, divID, data) { if(XMLHttpRequestObject) { var obj = document.getElementById(divID);"POST", dataSource); XMLHttpRequestObject.setRequestHeader('Content-Type', 'application/x-www-form-urlencoded'); XMLHttpRequestObject.onreadystatechange = function() { if (XMLHttpRequestObject.readyState == 4 && XMLHttpRequestObject.status == 200) { obj.innerHTML = XMLHttpRequestObject.responseText; } } . . . } }
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