MemoryCache: Memory Cache

In VectrixDB: Lightweight Vector Database with Embedded Machine Learning Models

Memory Cache

Description

In-memory LRU cache with TTL support

Ultra-low latency, limited by available RAM. Best for hot data, session data, frequently accessed vectors.

Super class

VectrixDB::BaseCache -> MemoryCache

Methods

Public methods

• MemoryCache$new()

• MemoryCache$get()

• MemoryCache$set()

• MemoryCache$delete()

• MemoryCache$exists()

• MemoryCache$clear()

• MemoryCache$size()

• MemoryCache$cleanup_expired()

• MemoryCache$clone()

Inherited methods

• VectrixDB::BaseCache$delete_many()
• VectrixDB::BaseCache$get_many()
• VectrixDB::BaseCache$make_key()
• VectrixDB::BaseCache$set_many()

---

Method new()

Create a new MemoryCache

Usage

MemoryCache$new(config = NULL)

Arguments

config

CacheConfig object

---

Method get()

Get value from cache

Usage

MemoryCache$get(key)

Arguments

key

Cache key

Returns

Value or NULL

---

Method set()

Set value in cache

Usage

MemoryCache$set(key, value, ttl = NULL)

Arguments

key

Cache key

value

Value to cache

ttl

Time to live

---

Method delete()

Delete key from cache

Usage

MemoryCache$delete(key)

Arguments

key

Cache key

Returns

Logical success

---

Method exists()

Check if key exists

Usage

MemoryCache$exists(key)

Arguments

key

Cache key

Returns

Logical

---

Method clear()

Clear cache

Usage

MemoryCache$clear()

---

Method size()

Get cache size

Usage

MemoryCache$size()

Returns

Integer

---

Method cleanup_expired()

Cleanup expired entries

Usage

MemoryCache$cleanup_expired()

Returns

Integer count removed

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Method clone()

The objects of this class are cloneable with this method.

Usage

MemoryCache$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

VectrixDB documentation built on Feb. 20, 2026, 5:09 p.m.