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The B+ -tree index structure is the most widely used of several index structures that maintain their ef ciency despite insertion and deletion of data A B+ -tree index takes the form of a balanced tree in which every path from the root of the tree to a leaf of the tree is of the same length Each nonleaf node in the tree has between n/2 and n children, where n is xed for a particular tree We shall see that the B+ -tree structure imposes performance overhead on insertion and deletion, and adds space overhead The overhead is acceptable even for frequently modi ed les, since the cost of le reorganization is avoided Furthermore, since nodes may be as much as half empty (if they have the minimum number of children), there is some wasted space This space overhead, too, is acceptable given the performance bene ts of the B+ -tree structure

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Fig 3-34 The circuit solved with the Karni method in Example 3-8

Enter a name for the capture file If you like, you can also specify a maximum capture length using the minutes and seconds text boxes Click the Start Capture button in the dialog box to begin the capture As Pinnacle Studio captures the video, it will use the scene detection method that you specified to determine where to break the video into scenes Each new scene will appear in the album as it is captured If you use a DV camcorder, Pinnacle Studio will automatically stop capturing when it reaches the end of the recorded section of the tape When you have finished capturing your video, click the Stop Capture button Then click the Edit tab to continue working with your movie

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A B+ -tree index is a multilevel index, but it has a structure that differs from that of the multilevel index-sequential le Figure 126 shows a typical node of a B+ -tree It contains up to n 1 search-key values K1 , K2 , , Kn 1 , and n pointers P1 , P2 , , Pn The search-key values within a node are kept in sorted order; thus, if i < j, then Ki < Kj We consider rst the structure of the leaf nodes For i = 1, 2, , n 1, pointer Pi points to either a le record with search-key value Ki or to a bucket of pointers, each of which points to a le record with search-key value Ki The bucket structure is used only if the search key does not form a primary key, and if the le is not sorted in the search-key value order Pointer Pn has a special purpose that we shall discuss shortly Figure 127 shows one leaf node of a B+ -tree for the account le, in which we have chosen n to be 3, and the search key is branch-name Note that, since the account le is ordered by branch-name, the pointers in the leaf node point directly to the le Now that we have seen the structure of a leaf node, let us consider how search-key values are assigned to particular nodes Each leaf can hold up to n 1 values We allow leaf nodes to contain as few as (n 1)/2 values The ranges of values in each leaf do not overlap Thus, if Li and Lj are leaf nodes and i < j, then every searchkey value in Li is less than every search-key value in Lj If the B+ -tree index is to be a dense index, every search-key value must appear in some leaf node Now we can explain the use of the pointer Pn Since there is a linear order on the leaves based on the search-key values that they contain, we use Pn to chain together the leaf nodes in search-key order This ordering allows for ef cient sequential processing of the le The nonleaf nodes of the B+ -tree form a multilevel (sparse) index on the leaf nodes The structure of nonleaf nodes is the same as that for leaf nodes, except that all pointers are pointers to tree nodes A nonleaf node may hold up to n pointers, and must.

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The McGraw Hill Companies, 2001

750 500 600

i2 2

A leaf node for account B+ -tree index (n = 3)

Sometimes you may want to include in a movie a video that is on a different tape or is a video file that you captured earlier You can easily use video files that were not a part of the current capture session, but you ll need to know one little tricky detail in order to do so

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