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The use of statistics in cost-based optimization is not very complex Most database professionals interviewed seem to think the gathering and application of statistics is a complex and vital element of query optimization Although it is true that cost-based query optimization and even hybrid optimization schemes use statistics for cost and/or ranking, they are neither complex nor critical Take, for instance, the concept of evenly distributed values among attributes This concept alone is proof of the imprecise nature of the application of statistics Statistical calculations are largely categorical in nature and not designed to generate a precise value They merely assist in determining whether one query execution plan is generally more costly than another Frequency distribution of attribute values is a common method for predicting the size of query results.

my_dict.setValue_forKey_('stop', 'state')

As you ve seen, business objects follow the same sequence of events for creation, retrieval, and updates. Because of this, there s a structure and a set of features that are common to all of them. Although the structure and features are common, however, the actual code will vary for each business object. Due to the consistency in structure, however, there s great value in providing some foundations that make it easier for the business developer to know what needs to be done. Also, there are differences between editable and read-only objects, and between root and child objects. After discussing the features common to all business objects, I ll create templates to illustrate the structure of each type of business object that you can create based on CSLA .NET.

By forming a distribution of possible (or actual5) values of an attribute, the database system can use the distribution to calculate a cost for a given query plan by predicting the number of tuples (or rows) that the plan must process Modern database systems, however, deal with frequency distributions of individual attributes only, because considering all possible combinations of attributes is very expensive This essentially corresponds to what is known as the attribute value independence assumption, and although rarely true, it is adopted by almost all relational database systems Gathering the distribution data requires either constant updating of the statistics or predictive analysis of the data Another tactic is the use of uniform distributions where the distribution of the attribute values is assumed to be equal for all distinct values.

There are some common features or conventions that should be followed when coding any business classes that will inherit from the CSLA .NET base classes. These are as follows: [Serializable()] attribute Common regions private default constructor Criteria class Let s briefly discuss each of these requirements.

For example, given 5,000 tuples and a possible 50 values for a given attribute, the uniform distribution assumes each value is represented 100 times This is rarely the case and is often incorrect However, given the absence of any statistics, it is still a reasonable approximation of reality in many cases The memory requirements and running time of dynamic programming grow exponentially with query size (ie, number of joins) in the worst case since all viable partial plans generated in each step must be stored to be used in the next one In fact, many modern systems place a.

All business objects must be unanchored so that they can move across the network as needed. This means that they must be marked as serializable by using the [Serializable()] attribute, as shown here: [Serializable()] public class MyBusinessClass { } This is required for all business classes that inherit from any of the CSLA .NET base classes. It s also required for any objects that are referenced by business objects. If a business object references an object that isn t serializable, then you must be sure to mark its field with the [NonSerialized()] attribute to prevent the serialization process from attempting to serialize that object. If you don t do this, the result will be a runtime exception from the .NET Framework.

When writing code in VS .NET, the #region directive can be used to place code into collapsible regions. This helps organize the code, and allows you to look only at the code pertaining to a specific type of functionality.

4. This practice is still in use today by most commercial database systems. 5. The accumulation of statistics in real time is called piggyback statistic generation.

This would set the key state to store the value stop, and add the following to the .plist file once written out: