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A damn simple library for building production-ready RESTful web services.
RxJava – Reactive Extensions for the JVM – a library for composing asynchronous and event-based programs using observable sequences for the Java VM.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
a mature, highly concurrent JDBC Connection pooling library, with support for caching and reuse of PreparedStatements.
👕基于谷歌最新AAC架构，MVVM设计模式的一套快速开发库，整合Okhttp+RxJava+Retrofit+Glide等主流模块，满足日常开发需求。使用该框架可以快速开发一个高质量、易维护的Android应用。
Just Announced - "Learn Spring Security OAuth":
Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas
Design patterns implemented in Java
Brigadier is a command parser & dispatcher, designed and developed for Minecraft: Java Edition.
👨🎓 Java Core Sprout : basic, concurrent, algorithm
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
This is archive of SparkRDMA project. The new repository with RDMA shuffle acceleration for Apache Spark is here: https://github.com/Nvidia/sparkucx
crossoverJie / algorithms
Forked from nibnait/algorithms《算法 (第4版)》、牛课堂、《剑指Offer》、
Everything you need to know to get the job.
Simple example using Camunda and Spring Boot to define a simple microservice communcating via AMQP, fully unit tested and deployable in the cloud
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Test-driven documentation for RESTful services
Talk - Serverless and Java in the Real World
A short introduction to spark streaming using Twitter streaming API and saving tweets into elasticsearch. Results are displayed in real-time using Kibana 3.
🌿 基于springboot的快速学习示例,整合自己遇到的开源框架,如：rabbitmq(延迟队列)、Kafka、jpa、redies、oauth2、swagger、jsp、docker、k3s、k3d、k8s、mybatis加解密插件、异常处理、日志输出、多模块开发、多环境打包、缓存cache、爬虫、jwt、GraphQL、dubbo、zookeeper和Async等等📌
Example code from Learning Spark book
You are looking for examples, code snippets, sample applications for Spring Integration? This is the place.
Solutions to LeetCode problems; updated daily. Subscribe to my YouTube channel for more.
Mazerunner extends a Neo4j graph database to run scheduled big data graph compute algorithms at scale with HDFS and Apache Spark.