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  • JDBC

    4588 2024-06-29 《Apache Iceberg 1.5.2》
    JDBC Catalog Configurations Examples Spark Java API JDBC Catalog Iceberg supports using a table in a relational database to manage Iceberg tables through JDBC. The database ...
  • Configuration

    4419 2025-03-11 《Apache Iceberg 1.8.1》
    Spark Configuration Catalogs Spark adds an API to plug in table catalogs that are used to load, create, and manage Iceberg tables. Spark catalogs are configured by setting Spark ...
  • Distributed objects

    4189 2025-03-14 《Redisson 3.45.0》
    Object holder Java implementation of Redis or Valkey based RBucket object is a holder for any type of object. Size is limited to 512Mb. Code example: RBucket < AnyObject > buc...
  • 第六章:volatile关键字

    学习目标 1 内存可见性问题 1.1 什么是内存可见性 1.2 内存可见性问题的原因 2 volatile的作用与使用场景 2.1 volatile关键字介绍 2.2 volatile的内存语义 2.3 volatile的适用场景 2.4 volatile不能解决的问题 3 volatile与synchronized的区别 3.1 可见性与...
  • 第四章:线程安全问题

    学习目标 1. 什么是线程安全 1.1 线程安全的定义 1.2 线程安全的重要性 2. 共享资源访问的竞态条件 2.1 什么是竞态条件 2.2 竞态条件示例 2.3 竞态条件的类型 读-改-写竞态条件 检查再执行竞态条件 3. 线程安全问题的表现形式 3.1 原子性问题 3.2 可见性问题 3.3 有序性问题 4. 实战案例:商品...
  • Java Quickstart

    4033 2025-03-11 《Apache Iceberg 1.8.1》
    Java API Quickstart Create a table Tables are created using either a Catalog or an implementation of the Tables interface. Using a Hive catalog The Hive catalog connects to...
  • 第二章:线程的生命周期

    学习目标 1. 线程的六大状态:NEW、RUNNABLE、BLOCKED、WAITING、TIMED_WAITING、TERMINATED 1.1 NEW(新建) 1.2 RUNNABLE(可运行) 1.3 BLOCKED(阻塞) 1.4 WAITING(等待) 1.5 TIMED_WAITING(限时等待) 1.6 TERMINATED(终止)...
  • HTTP Protocol

    HTTP Protocol HTTP Consumer HTTP Producer Using Curl Command Publish Subscribe HTTP Protocol EventMesh SDK for Java implements the HTTP producer and consumer of asynchronou...
  • gRPC Protocol

    gRPC Protocol gRPC Consumer Stream Consumer Webhook Consumer gRPC Producer Asynchronous Producer Synchronous Producer Batch Producer gRPC Protocol EventMesh SDK for Java ...
  • Standalone Redisson node

    2423 2025-03-15 《Redisson 3.45.0》
    Overview Redisson offers ability to run as standalone node and participate in distributed computing. Such Nodes are used to run MapReduce , ExecutorService , ScheduledExecutorServ...