How deeply does Advanced Algorithms and Data Structures cover cache hit?

Explains lookup, node movement, pointer preservation, and constant-time list operations, while deferring hash computation costs.

Cache hit

As explained in Advanced Algorithms and Data Structures

A cache hit occurs when a requested data item is present in the cache and can be accessed there.

A cache hit occurs when a requested item is already stored in the cache. In an LRU cache, updating that item moves its list node to the front so its recent use is preserved. section 7.4.2

An LRU cache handles a hit by:

Looking up the key in a hash table and retrieving its linked-list node. section 7.4.2

Updating an existing entry

Looking up “EvilCorp” produces a cache hit. Its stored data is updated, the node is detached from the list, and the node is placed at the front.

How Advanced Algorithms and Data Structures covers it

Cover of Advanced Algorithms and Data Structures

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Also explained in

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LatencyA cache hit occurs when requested data is found in the cache and can be returned without accessing the backing store.
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100 Go Mistakes and How to Avoid ThemA cache hit occurs when a requested memory location is found in the cache being checked.

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Related concepts

lazy initializationproduced by · Lazy initialization is a technique that postpones creating, retrieving, computing, or loading a value or resource until it is needed.
cache misscontrasts with · A cache miss occurs when a lookup or access finds no usable requested item in the relevant cache, requiring retrieval or computation elsewhere.
cachinguses · Caching is the practice of storing reusable data or computation results so later access can avoid repeating retrieval or computation.
conditional logicused by · Conditional logic is a programming technique that selects execution paths, actions, or result values according to evaluated conditions.

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