**Hash Table Operations****Introduction to Hashing:**A hash table `valsTable` is shown below. The hash function used here is `key % 5`. Assume that items are inserted at the end of a bucket's list.**Hash Table Diagram:**```valsTable: ----------- 0 | | ----------- 1 | 50 | ----------- 2 | | ----------- 3 | 12 | ----------- 4 | 49 | -----------```**Description of Diagram:** - Index 0 has no items.- Index 1 contains the item 50.- Index 2 has no items.- Index 3 contains the item 12.- Index 4 contains the item 49.**Operations:**After performing the following operations:- `HashInsert(valsTable, item 100)`- `HashInsert(valsTable, item 26)`**Task:**Select the bucket containing the following items:1. **Item: 26** - Use the dropdown to select the correct bucket.2. **Item: 50** - Use the dropdown to select the correct bucket.3. **Item: 100** - Use the dropdown to select the correct bucket.**User Interface Instructions:**1. Choose the appropriate index (0-4) from the dropdown for each item: - `Select` 0, 1, 2, 3, or 4. 2. Click the `Check` button to confirm your selections.3. Click the `Next` button to proceed.By understanding the implementation of the hash function and how items are stored, you can effectively determine the correct buckets for the given items.**Example Calculation:**- For item 100, the bucket index is `100 % 5 = 0`.- For item 26, the bucket index is `26 % 5 = 1`.Therefore, the updated table should look like this:``` ----------- 0 | 100 | ----------- 1 | 50, 26 | ----------- 2 | | ----------- 3 | 12 | ----------- 4 | 49 | -----------```Select the correct buckets based on this computation.

A function used to group a value set of N size to some value set of fixed size given that it falls…

Answered: Jump to level 1 Hash table valsTable is…

Jump to level 1 Hash table valsTable is shown below. The hash function is key % 5. Assume items are inserted at the end of a bucket's list. valsTable: o 50 1 2 12 3

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Concept explainers

Hash Table

A hash table also called a hash map, is a data structure that maps key-value pairs. The hash table can be used in complex systems to provide fast access and compact storage. A hash table is a structure that stores data in an abstract data type kind of associative array. It keeps data in an array format, with a distinct index value for every data value. If the index of the required data is known, then the data can be accessed very easily.

Question

100%

**Hash Table Operations**

**Introduction to Hashing:**
A hash table `valsTable` is shown below. The hash function used here is `key % 5`. Assume that items are inserted at the end of a bucket's list.

**Hash Table Diagram:**
```
valsTable:
-----------
0 | |
-----------
1 | 50 |
-----------
2 | |
-----------
3 | 12 |
-----------
4 | 49 |
-----------
```

**Description of Diagram:**
- Index 0 has no items.
- Index 1 contains the item 50.
- Index 2 has no items.
- Index 3 contains the item 12.
- Index 4 contains the item 49.

**Operations:**
After performing the following operations:
- `HashInsert(valsTable, item 100)`
- `HashInsert(valsTable, item 26)`

**Task:**
Select the bucket containing the following items:

1. **Item: 26**
- Use the dropdown to select the correct bucket.

2. **Item: 50**
- Use the dropdown to select the correct bucket.

3. **Item: 100**
- Use the dropdown to select the correct bucket.

**User Interface Instructions:**
1. Choose the appropriate index (0-4) from the dropdown for each item:
- `Select` 0, 1, 2, 3, or 4.

2. Click the `Check` button to confirm your selections.
3. Click the `Next` button to proceed.

By understanding the implementation of the hash function and how items are stored, you can effectively determine the correct buckets for the given items.

**Example Calculation:**
- For item 100, the bucket index is `100 % 5 = 0`.
- For item 26, the bucket index is `26 % 5 = 1`.

Therefore, the updated table should look like this:
```
-----------
0 | 100 |
-----------
1 | 50, 26 |
-----------
2 | |
-----------
3 | 12 |
-----------
4 | 49 |
-----------
```

Select the correct buckets based on this computation.

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