graph LR
Core_Memcached_Client["Core Memcached Client"]
Connection_Management["Connection Management"]
Multi_Server_Client_Hashing["Multi-Server Client & Hashing"]
Serialization_Deserialization["Serialization/Deserialization"]
Client_Wrappers_Extensions["Client Wrappers & Extensions"]
Core_Memcached_Client -- "uses" --> Serialization_Deserialization
Connection_Management -- "manages" --> Core_Memcached_Client
Multi_Server_Client_Hashing -- "manages" --> Core_Memcached_Client
Multi_Server_Client_Hashing -- "uses" --> Serialization_Deserialization
Client_Wrappers_Extensions -- "wraps" --> Core_Memcached_Client
Client_Wrappers_Extensions -- "extends" --> Multi_Server_Client_Hashing
click Core_Memcached_Client href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/pymemcache/Core_Memcached_Client.md" "Details"
click Multi_Server_Client_Hashing href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/pymemcache/Multi_Server_Client_Hashing.md" "Details"
click Client_Wrappers_Extensions href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/pymemcache/Client_Wrappers_Extensions.md" "Details"
Abstract Components Overview
Core Memcached Client [Expand]
The fundamental interface for interacting with a single Memcached server, handling low-level protocol, command execution, and direct connection management. It serves as the base for all higher-level client functionalities.
Related Classes/Methods:
Manages a pool of Core Memcached Client instances to efficiently reuse network connections, thereby reducing the overhead associated with establishing new connections for each operation.
Related Classes/Methods:
Multi-Server Client & Hashing [Expand]
Extends client functionality to support interactions with multiple Memcached servers. It utilizes consistent hashing algorithms (e.g., Rendezvous Hash) to deterministically route keys to specific servers, enabling distributed caching and fault tolerance.
Related Classes/Methods:
A dedicated module responsible for converting Python objects into a byte format suitable for storage in Memcached, and vice-versa. It supports various serialization methods (e.g., Pickle) and compression.
Related Classes/Methods:
pymemcache.serde.PickleSerde(96:121)pymemcache.serde.CompressedSerde(127:167)pymemcache.serde.LegacyWrappingSerde(173:192)
Client Wrappers & Extensions [Expand]
Provides higher-level client implementations that wrap core or multi-server clients to add specialized functionalities. This includes automatic retries for transient network issues and dynamic node discovery for cloud environments like AWS ElastiCache.
Related Classes/Methods: