Hash Table Concept and Hash Functions in DSA Rust - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a hash table?

A hash table is a data structure that stores key-value pairs. It uses a hash function to convert keys into an index where the value is stored, allowing fast data retrieval.

beginner

What is the role of a hash function in a hash table?

A hash function takes a key and returns an integer index. This index tells where to store or find the value in the hash table.

intermediate

Why do hash tables sometimes have collisions?

Collisions happen when two different keys produce the same index from the hash function. The hash table must handle collisions to store both values correctly.

intermediate

Name one common method to handle collisions in hash tables.

One common method is chaining, where each index holds a list of key-value pairs. If multiple keys hash to the same index, they are stored in the list at that index.

intermediate

What qualities make a good hash function?

A good hash function distributes keys evenly across the table, is fast to compute, and minimizes collisions.

What does a hash function do in a hash table?

A Sorts the keys alphabetically

B Stores the value directly

C Converts a key into an index

D Deletes duplicate keys

A hash function converts a key into an index where the value is stored or retrieved.

What is a collision in a hash table?

A When two keys produce the same index

B When a key is missing

C When the table is empty

D When values are duplicated

A collision occurs when two different keys hash to the same index.

Which method can handle collisions by storing multiple items at one index?

A Chaining

B Sorting

C Binary search

D Hashing again

Chaining stores multiple key-value pairs in a list at the same index to handle collisions.

Why is it important for a hash function to distribute keys evenly?

A To sort keys alphabetically

B To make keys look random

C To use less memory

D To reduce collisions and improve speed

Even distribution reduces collisions and makes data retrieval faster.

What is stored in a hash table?

A Sorted lists

B Key-value pairs

C Only values

D Only keys

Hash tables store key-value pairs for quick lookup.

Explain how a hash table uses a hash function to store and retrieve data.

Think about how keys become positions in the table.

Describe what a collision is in a hash table and one way to handle it.

Imagine two friends trying to sit in the same chair.

Practice

1. What is the main purpose of a hash function in a hash table?

easy

A. To sort the keys in ascending order

B. To convert a key into an index for storing values

C. To encrypt the data stored in the table

D. To count the number of elements in the table

Solution

1. Step 1: Understand the role of a hash function

   A hash function takes a key and converts it into a number that can be used as an index in the hash table.

2. Step 2: Identify the correct purpose

   This index helps to quickly find where the value related to the key is stored.

3. Final Answer:

   To convert a key into an index for storing values -> Option B

4. Quick Check:

   Hash function = key to index [OK]

Hint: Hash function maps keys to indexes fast [OK]

Common Mistakes:

• Thinking hash functions sort keys
• Confusing hashing with encryption
• Believing hash functions count elements

2. Which of the following is the correct way to declare a hash map in Rust?

easy

A. let mut map = HashMap::new();

B. let map = new HashMap();

C. HashMap map = new HashMap();

D. var map = HashMap();

Solution

1. Step 1: Recall Rust syntax for hash maps

   In Rust, hash maps are created using HashMap::new() and usually declared mutable with let mut.

2. Step 2: Check each option

   let mut map = HashMap::new(); uses correct Rust syntax. Options A, B, and C use syntax from other languages or incorrect Rust syntax.

3. Final Answer:

   let mut map = HashMap::new(); -> Option A

4. Quick Check:

   Rust hash map creation = let mut map = HashMap::new() [OK]

Hint: Rust uses HashMap::new() with let mut [OK]

Common Mistakes:

• Using syntax from other languages like Java or JavaScript
• Forgetting to make the map mutable
• Missing the HashMap:: prefix

3. What will be the output of the following Rust code?

use std::collections::HashMap;

fn main() {
    let mut map = HashMap::new();
    map.insert("apple", 3);
    map.insert("banana", 2);
    map.insert("apple", 5);
    println!("{:?}", map.get("apple"));
}

medium

A. Error: duplicate key

B. Some(3)

C. None

D. Some(5)

Solution

1. Step 1: Understand insert behavior in HashMap

   In Rust's HashMap, inserting a value with an existing key replaces the old value.

2. Step 2: Trace the inserts and get

   First insert: "apple" -> 3, second insert: "banana" -> 2, third insert: "apple" -> 5 replaces 3. So map.get("apple") returns Some(5).

3. Final Answer:

   Some(5) -> Option D

4. Quick Check:

   Last insert replaces value = Some(5) [OK]

Hint: Last insert with same key overwrites value [OK]

Common Mistakes:

• Assuming duplicate keys cause error
• Thinking old value remains after insert
• Expecting None for existing key

4. Identify the error in this Rust code snippet using a hash map:

use std::collections::HashMap;

fn main() {
    let map = HashMap::new();
    map.insert("key", 10);
    println!("{:?}", map.get("key"));
}

medium

A. HashMap is not imported

B. get method does not exist

C. map is immutable but insert is called

D. Missing semicolon after insert

Solution

1. Step 1: Check mutability of map

   The map is declared with let (immutable) but insert tries to modify it.

2. Step 2: Identify the error cause

   In Rust, to modify a HashMap, it must be declared mutable with let mut.

3. Final Answer:

   map is immutable but insert is called -> Option C

4. Quick Check:

   Insert needs mutable map [OK]

Hint: Use let mut for hash maps you modify [OK]

Common Mistakes:

• Forgetting to import HashMap
• Assuming get method is missing
• Thinking semicolon is missing

5. You want to create a hash function for strings that sums the ASCII values of characters and then takes modulo with table size. Which of these Rust functions correctly implements this?

hard

A. fn hash(key: &str, size: usize) -> usize { key.bytes().map(|b| b as usize).sum::<usize>() % size }

B. fn hash(key: &str, size: usize) -> usize { key.len() % size }

C. fn hash(key: &str, size: usize) -> usize { key.chars().count() % size }

D. fn hash(key: &str, size: usize) -> usize { key.as_bytes().len() % size }

Solution

1. Step 1: Understand the required hash function

   The function must sum ASCII values of all characters and then take modulo with size.

2. Step 2: Analyze each option

   fn hash(key: &str, size: usize) -> usize { key.bytes().map(|b| b as usize).sum::<usize>() % size } sums bytes (ASCII values) and mods by size correctly. Options A, B, and D only use length or count, not sum of ASCII values.

3. Final Answer:

   fn hash(key: &str, size: usize) -> usize { key.bytes().map(|b| b as usize).sum::<usize>() % size } -> Option A

4. Quick Check:

   Sum ASCII bytes then mod size = fn hash(key: &str, size: usize) -> usize { key.bytes().map(|b| b as usize).sum::<usize>() % size } [OK]

Hint: Sum bytes, then modulo table size for hash [OK]

Common Mistakes:

• Using length instead of sum of ASCII values
• Using chars count instead of bytes
• Forgetting to modulo by table size