云数据库 ClickHouse原理简介的相关内容

阿里云文档 2023-09-03

什么是云数据库ClickHouse_云数据库 ClickHouse(ClickHouse)

文章 2022-05-02 来自：开发者社区

ClickHouse设计原理简介（下）

二级索引生成文件数据分区![]数据是以分区目录的形式进行组织的，每个分区的数据独立分开存储；横向切分是分片；纵向切分是分区。数据分区合并t0时刻，有三批数据写入。第一批数据是 2021-05-01，因分区键是年-月，则会得到分区目录202105_1_1_0202105表示年月的分区id，第一个1表示最小的blockNum,第二个1表示最大的blockNum,第一批数据，maxBlockNum=m....

文章 2022-05-02 来自：开发者社区

ClickHouse设计原理简介（中）

ClickHouse核心模块--Column&Field• Column与Field是ClickHouse数据最基础的映射单元• 内存中的每一列数据由一个Column对象表示。Column对象分为接口和实现两部分，在IColunn接口对象中，定义了对数据进行各种关系运算的方法• 在大多数场合，ClickHouse都会以整列的方式操作数据。如果需要操作单个具体的数值，则需要使用Field对....

文章 2022-05-02 来自：开发者社区

ClickHouse设计原理简介（上）

简介1、由Yandex开源的高性能OLAP数据库2、采用列式存储结构，拥有高效的数据压缩能力3、通过多核并行处理以及向量执行引擎提升查询能力4、多样化的表引擎用于支撑不同的应用场景5、支持多线程和分布式处理ClickHouse性能100million条数据量下，ClickHouse的单表聚合查询性能非常高，是Greenplum(x2)集群的16倍，是PostgreSQL的10倍，是Mysql的8....

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更新时间 2023-08-15 10:53:02

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云数据库 ClickHouse

全托管云原生 Serverless 实时数仓服务。有开箱即用、高吞吐写入、秒级实时分析、自动弹性优势。广泛应用于流量分析、广告营销分析、行为分析、人群划分、客户画像、敏捷BI、数据集市、网络监控和链路监控等业务场景。

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RDS 与 ClickHouse 构建一站式 HTAP

通过融合 MySQL 和 ClickHouse 的数据同步能力，用户可以在一个可视化窗口中简单灵活地配置和管理实时数据同步，这为业务报表统计、交互式运营分析和实时数仓等提供了便利。

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