page_size是分配给一个节点的字节数量和读写操作的长度,最好保持接近磁盘的块大小; cache_size保持频繁使用的节点,大缓存防止了从原始页面创建Python对象的昂贵操作,但是使用了更多的内存。 有效使用树的一些建议: 如果可能的话,按照升序插入元素,首选UUID v1到UUID v4; 使用tree.batch_insert(iterator)批量插入,而...
An on-disk B+tree for Python 3 pythonpython3btreebtree-indexesbplustree UpdatedMar 18, 2019 Python enpeizhao/duck_db Star504 Code Issues Pull requests c/c++ build a simple b+tree RDMS(利用c/c++ 开发基于B+树的小型关系型数据库 )
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```python class BPlusTree: def __init__(self, max_size): self.max_size = max_size self.tree = [None] (max_size + 1) self.height = 0 self.size = 0def insert(self, key): if self.size == self.max_size: raise Exception("B+Tree is full")if self.tree[key] is not None:...
./coverage_build.shAbout A minimal but extreme fast B+ tree indexing structure demo for billions of key-value storage Resources Readme License MIT License Releases No releases published Packages No packages published Languages C 85.4% CMake 12.5% Python 1.7% Shell 0.4% ©...