External Methods Chapter 15 (continued)

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Presentation transcript:

External Methods Chapter 15 (continued) © 2006 Pearson Addison-Wesley. All rights reserved

B-Trees To organize the index file as an external search tree Use block numbers for child pointers A child pointer value of –1 is used as the null pointer Figure 15-10a a) Blocks organized into a 2-3 tree © 2006 Pearson Addison-Wesley. All rights reserved

B-Trees If the index file is organized into a 2-3 tree Each node would contain Either one or two index records, each of the form <key, pointer> Three child pointers Figure 15-10b b) a single node of the 2-3 tree © 2006 Pearson Addison-Wesley. All rights reserved

B-Trees An external 2-3 tree is adequate, but an improvement is possible To improve efficiency Allow each node to have as many children as possible In an external environment, the advantage of keeping a search tree short far outweighs the disadvantage of performing extra work at each node Block size should be the only limiting factor for the number of children © 2006 Pearson Addison-Wesley. All rights reserved

B-Trees Binary search tree 2-3 tree General search tree If a node N has two children, it must contain one key value 2-3 tree If a node N has three children, it must contain two key values General search tree If a node N has m children, it must contain m – 1 key values © 2006 Pearson Addison-Wesley. All rights reserved

B-Trees Figure 15-11 a) A node with two children; b) a node with three children; c) a node with m children © 2006 Pearson Addison-Wesley. All rights reserved

B-Trees B-tree of degree m All leaves are at the same level Nodes Each node contains between m – 1 and [m/2] records Each internal node has one more child than it has records Exception: The root can contain as few as one record and can have as few as two children Example A 2-3 tree is a B-tree of degree 3 © 2006 Pearson Addison-Wesley. All rights reserved

B-Trees Figure 15-13 A B-tree of degree 5 © 2006 Pearson Addison-Wesley. All rights reserved

B-Trees Insertion into a B-tree Step 1: Insert the data record into the data file Step 2: Insert a corresponding index record into the index file © 2006 Pearson Addison-Wesley. All rights reserved

B-Trees Figure 15-14a and b The steps for inserting 55 © 2006 Pearson Addison-Wesley. All rights reserved

B-Trees Figure 15-14c-e The steps for inserting 55 © 2006 Pearson Addison-Wesley. All rights reserved

B-Trees Deletion from a B-tree Step 1: Locate the index record in the index file Step 2: Delete the data record from the data file © 2006 Pearson Addison-Wesley. All rights reserved

B-Trees Figure 15-15a and b The steps for deleting 73 © 2006 Pearson Addison-Wesley. All rights reserved

B-Trees Figure 15-15c The steps for deleting 73 © 2006 Pearson Addison-Wesley. All rights reserved

B-Trees Figure 15-15d The steps for deleting 73 © 2006 Pearson Addison-Wesley. All rights reserved

B-Trees Figure 15-15e and f The steps for deleting 73 © 2006 Pearson Addison-Wesley. All rights reserved

Traversals Accessing only the search key of each record, not the data file Not efficiently supported by the hashing implementation Efficiently supported by the B-tree implementation The search keys can be visited in sorted order by using an inorder traversal of the B-tree Accessing the entire data record Not efficiently supported by the B-tree implementation © 2006 Pearson Addison-Wesley. All rights reserved

Multiple Indexing Advantage Disadvantage Allows multiple data organizations Disadvantage More storage space Additional overhead for updating each index whenever the data file is modified © 2006 Pearson Addison-Wesley. All rights reserved

Multiple Indexing Figure 15-16 Multiple index files © 2006 Pearson Addison-Wesley. All rights reserved

Summary An external file is partitioned into blocks Each block typically contains many data records A block is generally the smallest unit of transfer between internal and external memory In a random access file, the ith block can be accessed without accessing the blocks that precede it A modified mergesort algorithm can be used to sort an external file of records © 2006 Pearson Addison-Wesley. All rights reserved

Summary An index to a data file is a file that contains an index record for each record in the data file The index file can be organized using either hashing or a B-tree These schemes allow you to perform the basic table operations by using only a few block accesses Several index files can be used with the same data file to perform different types of operations efficiently © 2006 Pearson Addison-Wesley. All rights reserved