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MyBatis Caching Architecture MyBatis provides a multi-level caching system to optimize database query performance. The first-level cache operates at the SqlSession scope, meaning it is thread-local and isolated per session. When the same query is executed multiple times within a single session, the database is bypassed after the initial hit. @T ...

SQL vs. NoSQL Database Characteristics FeatureSQL DatabasesNoSQL DatabasesStorage ModelRelational tables with fixed schemasFlexible structures (Key-Value, Document, Column-family, Graph, Time-series)ScalabilityVertical (upgrading single hardware)Horizontal (adding more server nodes)TransactionsACID compliant, high consistencyBASE oriented, even ...

Before diving into Redis's five fundamental data structures, it's essential to understand some core concepts that will provide a solid foundation for the following content. These include Redis's global commands, internal data structure encoding mechanisms, and its single-threaded command processing approach. Redis Global Commands Keys Command T ...

In large-scale web applications, caching is a fundamental technique alongside asynchronous and parallel processnig. For externally exposed APIs, implementing caching is crucial to prevent repeated database queries that can lead to server instability. Below is a generic cache manager interface that defines the core operations for a caching syste ...

Why Use Multi-Layer Caching? Consider a PHP application where each database query takes about 1 second—users experience slow page loads. Adding caching helps, but is a single cache layer sufficient? In-memory cache is fast but volatile—it disappears when the service restarts. Redis offers persistence but incurs network latency. File-based cach ...

This guide covers the fundamentals of integrating Redis with C# applications using the ServiceStack.Redis client library. While earlier articles explored Redis basics like persistence and virtual memory configuraton, this piece focuses on practical application development using C# to interact with Redis servers. Installing ServiceStack ServiceS ...

Project Architecture Overview The system adopts a microservices architecture, decomposing business capabilities into independently deployable services communicating over lightweight HTTP APIs. Each service handles its own data storage and can be developed with dedicated technology stacks. The architecture diagram splits the monolith into servic ...

Understanding Loop-Based Pagination in Java Applications When building enterprise applications that must handle substantial data volumes, implementing an effective pagination strategy becomes critical for maintaining performance while delivering a smooth user experience. Loop-based pagination allows developers to process large datasets incremen ...

Functions are defined as blocks of code that accept parameters as inputs, perform processing involving these inputs, and return a value as output. When a function takes another function as input or returns another function as output, these are called higher-order functions. Functions like map(), reduce(), and filter() are all higher-order funct ...

Core Cache Annotations Spring Boot simplifies data caching through a declarative approach. To utilize the cache abstraction, ensure the @EnableCaching annotation is present on a configuration class. The framework manages storage based on method-level annotations. Retrieving Cached Results The @Cacheable annotation applies to read operations. Wh ...