## Druid源码解析类文章合集

1. [Apache Druid源码导读--Google Guice DI框架](https://blog.csdn.net/yueguanghaidao/article/details/102531570)
    
    在大数据应用组件中，有两款OLAP引擎应用广泛，一款是偏离线处理的Kylin，另一个是偏实时的Druid。Kylin是一款国人开源的优秀离线OLAP引擎，基本上是Hadoop领域离线OLAP事实标准，在离线报表，指标分析领域应用广泛。而Apache Druid则在实时OLAP领域独领风骚，优异的性能、高可用、易扩展。

    [原文链接]((https://blog.csdn.net/yueguanghaidao/article/details/102531570))

2. [Apache Druid源码解析的一个合集](https://blog.csdn.net/mytobaby00/category_7561069.html)

   [原文链接](https://blog.csdn.net/mytobaby00/category_7561069.html)

   * [Druid中的Extension在启动时是如何加载的](https://blog.csdn.net/mytobaby00/article/details/79857681)
   * [Druid解析之管理用的接口大全](https://blog.csdn.net/mytobaby00/article/details/80088795)
   * [Druid原理分析之内存池管理](https://blog.csdn.net/mytobaby00/article/details/80071101)
   * [Druid源码解析之Segment](Druid源码解析之Segment)
   * [Druid源码解析之Column](https://blog.csdn.net/mytobaby00/article/details/80056826)
   * [Druid源码解析之HDFS存储](https://blog.csdn.net/mytobaby00/article/details/80045662)
   * [Druid源码解析之Coordinator](https://blog.csdn.net/mytobaby00/article/details/80041970)
   * [让Druid实现事件设备数留存数的精准计算](https://blog.csdn.net/mytobaby00/article/details/79804685)
   * [在Druid中定制自己的扩展【Extension】](https://blog.csdn.net/mytobaby00/article/details/79803605)
   * [Druid原理分析之“批”任务数据流转过程](https://blog.csdn.net/mytobaby00/article/details/79802776)
   * [Druid原理分析之“流”任务数据流转过程](https://blog.csdn.net/mytobaby00/article/details/79801614)
   * [Druid原理分析之Segment的存储结构](https://blog.csdn.net/mytobaby00/article/details/79801425)
   * [Druid索引与查询原理简析](https://blog.csdn.net/mytobaby00/article/details/79800553)
   * [Druid中的负载均衡策略分析](https://blog.csdn.net/mytobaby00/article/details/79860836)
   * [Druid中的Kafka Indexing Service源码分析](https://blog.csdn.net/mytobaby00/article/details/79858403)
   * [Druid源码分析之Query -- Sequence与Yielder](https://blog.csdn.net/mytobaby00/article/details/80103230)
   * [Druid原理分析之Segment的存储结构](https://blog.csdn.net/mytobaby00/article/details/79801425)