void insert(BTreeNode **root, keyOfBTree key, cmpFuncPtr cmp); // 打印B树的关键字 void printBTree(BTreeNode *node, printFun printKey, int left, int *cnt); // 释放BTree void freeBTree(BTreeNode **node); // 查找key在BTree中的位置 keyOfBTree *search(BTreeNode *root, keyOfBTree key...
// 如果关键字在当前节点中,删除关键字 static int deleteKeyInNode(struct BTreeNode **root, keyOfBTree key, cmpFuncPtr cmp, int index) { // 如果关键字在当前节点中,删除关键字 if (index < (*root)->num && cmp(&key, &((*root)->keys[index])) == 0) { if ((*root)->is_leaf) {...
转自: 土法炼钢:怎么实现一个简单的B+Tree In-Diskwww.cnblogs.com/ohmhong/p/6042925.html 1. 写在前面 说起B+树,大家应该都很熟悉。B+树是一种平衡的多路搜索树,广泛在操作系统和数据库系统用作索引。相比于内存的存取速度,磁盘I/O存取的开销要高上几个数量级。而将B+树用作索引时,它可以在查找...
btree.c A B-tree implementation in C. Features Generic interface with support for variable sized items Fast sequential bulk loading Copy-on-write support Supports C99 and up Supports custom allocators 100% code coverage Pretty darn good performance 🚀 ...
Learn how to implement a B+ Tree data structure in C++ with our comprehensive tutorial. Step-by-step guide and code examples included.
【解析】【答案】C 【核心短语/词汇】on the tree 在树上 【翻译】苹果在树上。 【解析】根据题意苹果是在树上的,in the tree指 树上的东西不属于树的一部分,是外来物;on the tree指树上的东西属于树的一部分,苹果是属于树 的,不是外来物,故A不选。没有at the tree这种 说法,故B不选。...
B-Tree-in-C feat:新建自己修改的B树代码 Dec 17, 2019 B-tree-2 fix:将定义的东西放在头文件中 Dec 13, 2019 B-tree-my-code feat:新增自己的B树代码库 Dec 17, 2019 internal_sort feat:更改堆排序的函数 Jan 9, 2020 single-linked-list ...
Compilating the B-Tree Program To configure the program, edit the file “jsconfig.h”. Since this is a general configuration file, not all settings may apply to this package. If in doubt, use grep or anything else to find out if a specific configuration symbol is used somewhere. ...
an integer specifying how surrogates are to be used in the splitting process: 0 - display-only; observations with a missing value for the primary split variable are not sent further down the tree. 1 - use surrogates, in order, to split observations missing the primary split variable. If all...
首先大家还是先来熟悉一下典型 B*tree 索引的结构图: 很明显,从图中我们可以看到: 1. 整个索引结构由root,branch,leafblock构成。 2. 从root block到每一个leaf block的高度都是一样的。 3. 索引条目总是是唯一的且在逻辑上是有序的。 4. 索引的扫描除了iffs(索引快速全扫描)总是单块读的形式。