## What is B tree and its properties?

A **B**–**tree** is a **tree** data structure that keeps data sorted and allows searches, insertions, and deletions in logarithmic amortized time. Unlike self-balancing binary search **trees**, it is optimized for systems that read and write large blocks of data. It is most commonly used in database and file systems. **The B**–**Tree** Rules.

## Which of the following is a characteristics of B-trees?

According to Knuth’s definition, a **B**–**tree** of order m is a **tree** which satisfies the **following** properties: Every node has at most m children. Every non-leaf node (except root) has at least ⌈m/2⌉ child nodes. The root has at least two children if it is not a leaf node.

## What are the applications of B tree?

**B tree** is used to index the data and provides fast access to the actual data stored on the disks since, the access to value stored in a large database that is stored on a disk is a very time consuming process. Searching an un-indexed and unsorted database containing n key values needs O(n) running time in worst case.

## Why are B-trees better?

**B**–**trees** are a way to get **better** locality by putting multiple elements into each **tree** node. **B**–**trees** were originally invented for storing data structures on disk, where locality is even more crucial than with memory. The data structure satisfies several invariants: Every path from the root to a leaf has the same length.

## What is the application of the B Tree and B+ tree?

**B Tree And B+ Tree** Data Structure In C++ This C++ Tutorial Explains the **B Tree** & **B+ Tree** Data Structures. They are Used to Store Data in Disks When the Entire Data Cannot be Stored in the Main Memory: **B**–**tree** is a self-balanced **tree** as well as a specialized m-way **tree** that is used for disk access.

## Which is better B tree or B tree?

To insert the data or key in **B**–**tree** is **more** complicated than a binary **tree**. There are some conditions that must be hold by the **B**–**Tree**: All the leaf nodes of the **B**–**tree** must be at the same level.

B+ **Tree**.

S.NO | B tree | B+ tree |
---|---|---|

6. | Leaf nodes are not stored as structural linked list. | Leaf nodes are stored as structural linked list. |

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Jun 11, 2020

## What is B+ tree give an example?

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. A **B+ tree** can be viewed as a **B**–**tree** in which each node contains only keys (not key–value pairs), and to which an additional level is added at the bottom with linked leaves.

## What is the order of 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 is B Tree and B+ tree in data structure?

**B+ Tree** is an extension of **B Tree** which allows efficient insertion, deletion and search operations. In **B Tree**, Keys and records both can be stored in the internal as well as leaf nodes. Whereas, in **B+ tree**, records (**data**) can only be stored on the leaf nodes while internal nodes can only store the key values.

## What is B tree index?

A **b**–**tree index** stands for “balanced **tree**” and is a type of **index** that can be created in relational databases. It’s the most common type of **index** that I’ve seen in Oracle databases, and it’s the default **index** type.

## Why do we use B+ tree in DBMS?

The **B+ tree** is a balanced binary search **tree**. **B+ tree** ensures that all leaf nodes remain at the same height. In the **B+ tree**, the leaf nodes are linked using a link list. Therefore, a **B+ tree** can support random access as well as sequential access.