• Spring Shell 基于 Spring 的编程模型插入自定义命令
  Spring Shell Spring Shell项目提供了一个交互式的Shell，允许您使用基于Spring的编程模型插入自定义命令。 介绍 Spring Shell项目的用户可以根据Spring Shell jar和添加自己的命令轻松构建一个完整的Shell(aka命令行)应用程序(作为Spring bean的方法)。 创建一个命令行应用程序可以是有用的，例如与您的项目的REST...
  2017-12-17 11:46:41 | Spring
• Spring Web Services
  Spring Web Service Spring Web Services aims to facilitate contract-first SOAP service development, allowing for the creation of flexible web services using one of the many ways to manipulate XML ...
  2017-12-16 15:10:09 | Spring
• Spring Web Flow
  Spring Web Flow Spring Web Flow builds on Spring MVC and allows implementing the “flows” of a web application. A flow encapsulates a sequence of steps that guide a user through the execution of s...
  2017-12-16 10:01:45 | Spring
• Spring HATEOAS
  Spring HATEOAS Spring HATEOAS provides some APIs to ease creating REST representations that follow the HATEOAS principle when working with Spring and especially Spring MVC. The core problem it t...
  2017-12-16 04:06:57 | Spring
• Spring Batch
  Spring Batch Spring Batch provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job ...
  2017-12-14 13:14:02 | Spring
• Spring Rest Docs
  Spring Rest Docs Spring REST Docs helps you to document RESTful services. It combines hand-written documentation written with Asciidoctor and auto-generated snippets produced with Spring MVC Tes...
  2017-12-13 12:50:39 | Spring
• Apache Hadoop-00-chat 闲聊
  chat 详细介绍一下 Apache Hadoop Apache Hadoop是一个开源的分布式存储和计算框架，旨在处理大规模数据集。 它提供了一种可靠、可扩展、分布式计算的解决方案，使用户能够有效地存储和处理大量数据，无论数据是结构化、半结构化还是非结构化的。 以下是Apache Hadoop的一些关键特点和组件： Hadoop分布式文件系统（HDFS）： Had...
  2017-12-11 21:47:35 | Apache
• Apache Hadoop-03-大数据之谷歌论文 Bigtable A Distributed Storage System for Structured Data
  原文地址 摘要 Bigtable是一个用于管理结构化数据的分布式存储系统，旨在扩展到非常大的规模：跨数千台通用服务器的数据达到了几十PB。 许多Google项目都在Bigtable中存储数据，包括网页索引、Google Earth和Google Finance。这些应用对Bigtable提出了不同的需求，包括数据大小（从URL到网页再到卫星图像）和延迟要求（从后端批量处理到实时数据服务...
  2017-12-11 21:47:35 | Big-Data