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To access the data in the database, a program could perform the following tasks: I Find a particular part by number (such as the left door) I Move down to the first child (the door handle) I Move up to its parent (the body) I Move sideways to the next child (the right door) Retrieving the data in a hierarchical database thus required navigating through the records, moving up, down, and sideways one record at a time. One of the most popular hierarchical database management systems was IBM s Information Management System (IMS), first introduced in 1968. The advantages of IMS and its hierarchical model follow. I Simple structure. The organization of an IMS database was easy to understand. The database hierarchy paralleled that of a company organization chart or a family tree. I Parent/child organization. An IMS database was excellent for representing parent/child relationships, such as A is a part of B or A is owned by B. I Performance. IMS stored parent/child relationships as physical pointers from one data record to another, so that movement through the database was rapid. Because the structure was simple, IMS could place parent and child records close to one another on the disk, minimizing disk input/output.



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Downloaded from Digital Engineering Library @ McGraw-Hill (www.digitalengineeringlibrary.com) Copyright 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website.

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The following code shows a predicate that takes as a parameter an object of type Person and returns true if the age of the person is less than 30. Otherwise, it returns false. Must Be of Type Object private bool IsLessThan30( object obj ) { return (obj as Person).Age < 30; }





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IMS is still a very widely used DBMS on IBM mainframes. Its raw performance makes it the database of choice in high-volume transaction-processing applications such as processing bank ATM transactions, verifying credit card numbers, and tracking the delivery of overnight packages. Although relational database performance has improved dramatically over the last decade, the performance requirements of applications such as these have also increased, so IMS continues to have a role. In addition, the large amount of corporate data stored in IMS databases insures that IMS use will continue long after relational databases have eliminated the performance barrier.

delivery if they are to hold on to their advantage, and must also develop the logical infrastructure required to offer, deploy, and bill for converged service packages. We now move our attention to the much-maligned CLECs.

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The simple structure of a hierarchical database became a disadvantage when the data had a more complex structure. In an order-processing database, for example, a single order might participate in three different parent/child relationships, linking the order to the customer who placed it, the salesperson who took it, and the product ordered, as shown in Figure 4-3. The structure of this type of data simply didn t fit the strict hierarchy of IMS. To deal with applications such as order processing, a new network data model was developed. The network data model extended the hierarchical model by allowing a record to participate in multiple parent/child relationships, as shown in Figure 4-4. These relationships were known as sets in the network model. In 1971, the Conference on Data Systems Languages published an official standard for network databases, which became known as the CODASYL model. IBM never developed a network DBMS of its own, choosing instead to extend IMS over the years. But during the 1970s, independent software companies rushed to embrace the network model, creating

Figure 4-3.

As we noted earlier, the CLECs came into existence in concert with the release of the Telecommunications Act of 1996, with plans to create a fully competitive market at the local loop level. Until that time, only the long-distance sector was fully competitive, with customers able to choose from among three major providers. The local loop was dominated by the ILECs. Since that time, the CLECs have carved out a reasonable piece of the market for themselves, supported by a certain degree of customer dissatisfaction with the ILECs, the promise of lower prices, and a number of favorable regulatory decisions including the Unbundled Network Element-Platform (UNE-P), which offered a generic switching and access platform to all entrants.

To attach the predicate to the view, assign it to the view s Filter property, as shown in the following code. The first statement retrieves a reference to the view, and the second assigns the predicate. CollectionView cv = (CollectionView) CollectionViewSource.GetDefaultView( listPeople.ItemsSource ); cv.Filter = IsLessThan30;

The FETCH statement advances the cursor to the next row of query results and brings the values for that row into the program buffers, as specified within the descriptor structure. The program must still use the descriptor to determine information about each column of returned results, such as its length or whether it contains a NULL value. For example, to determine the returned length of a column of character data, the program might use the statement:

GET DESCRIPTOR qrydesc VALUE(:i + 1) :length = RETURNED_LENGTH;

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