# What is difference between B-tree and B+ tree indexing?

## What is difference between B-tree and B+ tree indexing?

B+ tree eliminates the drawback B-tree used for indexing by storing data pointers only at the leaf nodes of the tree. Thus, the structure of leaf nodes of a B+ tree is quite different from the structure of internal nodes of the B tree. All keys are at leaf nodes, hence search is faster and accurate..

**Which is better B-tree or B+ tree?**

B-tree search is slightly slower as the data is stored in internal nodes as well as leaf nodes in it. B+ tree is an extension of B-tree and the data here is stored in leaf nodes only. Due to this factor, searching in a B+ tree is faster and efficient.

**When would you use a B+ tree?**

B+ Tree are used to store the large amount of data which can not be stored in the main memory. Due to the fact that, size of main memory is always limited, the internal nodes (keys to access records) of the B+ tree are stored in the main memory whereas, leaf nodes are stored in the secondary memory.

### What are the disadvantages of B-tree over B+ tree?

The principal advantage of B+ trees over B trees is they allow you to pack in more pointers to other nodes by removing pointers to data, thus increasing the fanout and potentially decreasing the depth of the tree. The disadvantage is that there are no early outs when you might have found a match in an internal node.

**What are the disadvantages of B-tree?**

Disadvantages: Leaf and non-leaf nodes are of different size (complicates storage) Deletion may occur in a non-leaf node (more complicated)

**What are the advantages of B tree?**

Advantages of B-tree usage for databases keeps keys in sorted order for sequential traversing. uses a hierarchical index to minimize the number of disk reads. uses partially full blocks to speed up insertions and deletions. keeps the index balanced with a recursive algorithm.

#### What is B+ tree explain with example?

A B+ tree is an m-ary tree with a variable but often large number of children per node. A B+ tree consists of a root, internal nodes and leaves. The root may be either a leaf or a node with two or more children….

B+ tree | |
---|---|

Type | Tree (data structure) |

Time complexity in big O notation |

**What are the advantages of B-tree?**

**What is order of a B+ tree?**

The maximum number of keys in a record is called the order of the B+ tree. The minimum number of keys per record is 1/2 of the maximum number of keys. For example, if the order of a B+ tree is n, each node (except for the root) must have between n/2 and n keys.

## What are the features of B+ tree?

Properties of a B+ Tree

- All leaves are at the same level.
- The root has at least two children.
- Each node except root can have a maximum of m children and at least m /2 children.
- Each node can contain a maximum of m – 1 keys and a minimum of ⌈m/2⌉ – 1 keys.

**How is element of B-tree deleted?**

Deleting an element on a B-tree consists of three main events: searching the node where the key to be deleted exists, deleting the key and balancing the tree if required. While deleting a tree, a condition called underflow may occur.

**What’s the difference between B-tree and R-tree?**

Does anyone know,what is difference between B+-tree and R-tree? I am trying to do an assignment related to this question, but not sure about my answer, Thanks for contributing an answer to Stack Overflow!

### Who is the author of B tree and are tree?

1. B-Tree & R-TreeMd. Shakil AhmedSenior Software EngineerAstha it research & consultancy ltd.Dhaka, Bangladesh 2. B-Tree 3.

**What’s the difference between a B tree and a binary tree?**

B-tree has a height of logM N (Where ‘M’ is the order of tree and N is the number of nodes). And the height is adjusted automatically at each update. In the B-tree data is sorted in a specific order, with the lowest value on the left and the highest value on the right. To insert the data or key in B-tree is more complicated than a binary tree.

**What are the properties of a B-tree?**

Basic B-tree properties: balanced, high fanout, some minimal fill factor (order) in practice, may want minimal fill factor to be less than 50% (delete at empty has been shown good in TP applications) B-tree vs. B+-tree. Note that B+-tree internal keys simply “direct traffic”; this is very useful.