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ILCB Documentation

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https://ilcb.github.io

A comprehensive technical knowledge base covering backend development, cloud-native infrastructure, and software tools. Includes guides on Java concurrency and IO, Spring framework bean lifecycles and SSM integration, Redis data structures and memory management, and cloud-native deployments using Docker, Kubernetes (k8s-1.28), K3s, and Harbor.

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What's inside ILCB Docs

  1. Overview of Behavioral Design Patterns

    Behavioral design patterns focus on communication between objects and how they distribute responsibility. Below is a summary of common behavioral patterns, their definitions, advantages, and disadvantages:
    PatternDefinitionProsCons
    VisitorDefines a new operation on elements of an object structure without changing the classes of the elements.Separates data structure from operations; allows adding new operations without modifying the structure.Adding new operations requires modifying all visitors.
    StrategyEncapsulates a family of algorithms and makes them interchangeable, allowing the algorithm to vary independently from clients.Provides flexible algorithm selection and extensibility by encapsulating each algorithm in its own class.Clients must be aware of all available strategies.
    MementoCaptures and externalizes an object's internal state without violating encapsulation, allowing the object to be restored to this state later.Preserves internal state for recovery without breaking encapsulation.Increases code complexity and may consume significant memory.
    ObserverDefines a one-to-many dependency between objects so that when one object changes state, all its dependents are notified and updated automatically.Efficiently manages one-to-many dependencies and automatic updates.Can lead to too many observer objects, making maintenance difficult and notification order hard to control.
    Template MethodDefines the skeleton of an algorithm in an operation, deferring some steps to subclasses so they can redefine certain steps without changing the algorithm's structure.Provides a framework for code reuse and extension by deferring specific steps to subclasses.Subclass extensions may impact the overall algorithm structure.
    IteratorProvides a way to access the elements of an aggregate object sequentially without exposing its internal representation.Allows sequential access to elements while hiding the underlying data structure.Increases complexity by requiring the implementation of an iterator interface.
    StateAllows an object to alter its behavior when its internal state changes, appearing as if the object changed its class.Behavior is driven by state, eliminating the need for complex conditional logic.Can result in a large number of state classes.
    CommandEncapsulates a request as an object, thereby letting you parameterize clients with different requests.Decouples the requester from the performer; allows requests to be queued or logged.Can lead to an explosion of command classes and increased complexity.
    MediatorDefines an object that encapsulates how a set of objects interact, reducing direct dependencies between them.Reduces coupling between objects by centralizing interaction logic.The mediator object can become bloated and overly complex.
    InterpreterGiven a language, defines a representation for its grammar and an interpreter that uses the representation to interpret sentences in the language.Provides a formal way to represent and interpret a specific language grammar.Poor performance when dealing with complex grammars.
    Chain of ResponsibilityAvoids coupling the sender of a request to its receiver by giving multiple objects a chance to handle the request.Decouples sender and receiver through a chain of processing.Chains can become too long, making debugging difficult, or requests may go unprocessed.

  3. Overview of Behavioral Design Patterns

    Behavioral design patterns focus on how objects communicate and interact. Common patterns include:

    • Visitor: Separates a data structure from the operations performed on it, allowing new operations to be defined without changing the element classes.
    • Strategy: Encapsulates a family of interchangeable algorithms, allowing the algorithm to vary independently from the clients that use it.
    • Memento: Captures and externalizes an object's internal state without violating encapsulation, allowing the state to be restored later.
    • Observer: Defines a one-to-many dependency so that when one object changes state, all its dependents are notified and updated automatically.
    • Template Method: Defines the skeleton of an algorithm in a base class, deferring some steps to subclasses to allow them to redefine certain steps without changing the algorithm's structure.
    • Iterator: Provides a way to access elements of an aggregate object sequentially without exposing its underlying representation.
    • State: Allows an object to alter its behavior when its internal state changes, making the object appear as if it changed its class.
    • Command: Encapsulates a request as an object, thereby letting you parameterize clients with different requests.
    • Mediator: Encapsulates how a set of objects interact, reducing direct dependencies between them.
    • Interpreter: Defines a representation for a grammar of a language and an interpreter that uses this representation to interpret sentences in the language.
    • Chain of Responsibility: Decouples the sender of a request from its receivers by giving multiple objects a chance to handle the request via a chain.

  4. Overview of Counting Sort algorithm

    Counting Sort is a linear-time sorting algorithm that assumes input elements are integers within a specific range (0 to k). The core idea is to determine the number of elements smaller than each input element x, which allows x to be placed directly into its final sorted position. It requires the input data to be integers with a known, fixed range.

  5. Overview of Aspect-Oriented Programming (AOP)

    Aspect-Oriented Programming (AOP) complements Object-Oriented Programming (OOP) by managing 'cross-cutting concerns'—logic that is repeated across multiple unrelated modules (e.g., logging, security, transaction management). While OOP defines vertical hierarchies, AOP defines horizontal relationships, allowing developers to encapsulate common behaviors into reusable modules called 'Aspects' to reduce code duplication and decouple modules.

  6. Overview of Software Design Patterns

    Design Patterns are categorized summaries of code design experience that are widely recognized and repeatedly used. The primary goals of using design patterns are to improve code reusability, make code easier for others to understand, and ensure code reliability, effectively moving code development toward a professional engineering approach.

  7. Overview of Docusaurus core features

    Docusaurus is a documentation framework designed for quick installation and deployment. It allows developers to focus on content by placing documentation files in the docs directory and provides the ability to extend or customize website layouts using React while maintaining consistent global elements like headers and footers.

  8. Overview of Redis High Availability (HA) Strategies

    Redis provides three primary distributed solutions to ensure availability and scalability beyond a single instance:

    1. Master-Slave (Replication) Mode: Focuses on data backup and read-write separation.
    2. Sentinel Mode: Adds automatic failover to the Master-Slave architecture.
    3. Cluster Mode: Provides horizontal scaling through data sharding across multiple nodes.

  9. Overview of the Singleton Design Pattern

    The Singleton pattern ensures that a class has only one instance and provides a global point of access to it. Key characteristics include:

    • The class must have only one instance.
    • The class must be responsible for creating its own unique instance.
    • The class must provide a way for all other objects to access this instance.

  10. Overview of RabbitMQ and AMQP

    RabbitMQ is an open-source implementation of the Advanced Message Queuing Protocol (AMQP), developed using the Erlang programming language.

  11. Overview of the Adapter Design Pattern

    The Adapter pattern (also known as the Wrapper or Transformer pattern) converts the interface of a class into another interface that clients expect. It allows classes with incompatible interfaces to work together and is particularly useful when dealing with third-party libraries whose APIs may change, preventing the need to rewrite all client code.

  12. Overview of Redis Sorted Sets (ZSet)

    A Redis Sorted Set is a collection of unique string elements where each member is associated with a floating-point value called a score. While members must be unique, multiple members can share the same score. Elements are kept sorted by their scores, enabling efficient range queries and ranking operations.