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There usually is not a perfect B+tree because data is unpredictable and misalignment is probable. We generally see this from partially filled leaf blocks or when internal nodes have less than M sub-trees. Which rule(s) were formed for B+Trees to avoid this scenario The root is a leaf or an M way tree, between two and M children The root may be a leaf but otherwise having more than that, all leafs will be at the same depth, are guaranteed to be at least half full, and the leaf factor or L depends upon the record sizes being stored All internal blocks are indeed m-way trees having M/2 children. These are full of keys, of course, and in order If there are no more than L entries, the root node is a leaf block all of these none of these

There usually is not a perfect B+tree because data is unpredictable and misalignment is probable. We generally see this from partially filled leaf blocks or when internal nodes have less than M sub-trees. Which rule(s) were formed for B+Trees to avoid this scenario The root is a leaf or an M way tree, between two and M children The root may be a leaf but otherwise having more than that, all leafs will be at the same depth, are guaranteed to be at least half full, and the leaf factor or L depends upon the record sizes being stored All internal blocks are indeed m-way trees having M/2 children. These are full of keys, of course, and in order If there are no more than L entries, the root node is a leaf block all of these none of these

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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please help with data structure questions (c++)

There usually is not a perfect B+tree because data is unpredictable and misalignment is probable. We generally see this from partially filled leaf blocks or when internal nodes have less than M sub-trees. Which rule(s) were formed for B+Trees to avoid this scenario The root is a leaf or an M way tree, between two and M children The root may be a leaf but otherwise having more than that, all leafs will be at the same depth, are guaranteed to be at least half full, and the leaf factor or L depends upon the record sizes being stored All internal blocks are indeed m-way trees having M/2 children. These are full of keys, of course, and in order If there are no more than L entries, the root node is a leaf block all of these none of these
Transcribed Image Text:There usually is not a perfect B+tree because data is unpredictable and misalignment is probable. We generally see this from partially filled leaf blocks or when internal nodes have less than M sub-trees. Which rule(s) were formed for B+Trees to avoid this scenario The root is a leaf or an M way tree, between two and M children The root may be a leaf but otherwise having more than that, all leafs will be at the same depth, are guaranteed to be at least half full, and the leaf factor or L depends upon the record sizes being stored All internal blocks are indeed m-way trees having M/2 children. These are full of keys, of course, and in order If there are no more than L entries, the root node is a leaf block all of these none of these
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