What happens when the load factor of a hash table exceeds a certain threshold?

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Question: What happens when the load factor of a hash table exceeds a certain threshold?

Options:

Correct Answer: The table is resized

Solution:

When the load factor exceeds a certain threshold, the hash table is typically resized to maintain efficient access times.

What happens when the load factor of a hash table exceeds a certain threshold?

What happens when the load factor of a hash table exceeds a certain threshold?

Step 1: Understand what a hash table is. A hash table is a data structure that stores key-value pairs for fast access.
Step 2: Know what the load factor is. The load factor is a measure of how full the hash table is, calculated as the number of entries divided by the number of slots.
Step 3: Identify the threshold. The threshold is a specific load factor value (like 0.7) that, when exceeded, indicates the hash table is getting too full.
Step 4: Recognize the problem. When the load factor exceeds the threshold, it can lead to slower access times because there are more collisions (when two keys hash to the same slot).
Step 5: Understand the solution. To fix this, the hash table is resized, usually by creating a new, larger table and rehashing all existing entries into this new table.
Step 6: Know the benefits. Resizing helps maintain efficient access times, ensuring that the hash table remains fast and effective for storing and retrieving data.

Load Factor – The load factor is a measure of how full a hash table is, calculated as the number of entries divided by the number of buckets.
Resizing – Resizing a hash table involves creating a new, larger array and rehashing existing entries to maintain efficient access times.
Threshold – The threshold is a predefined limit that, when exceeded, triggers the resizing of the hash table.