ClickHouse SQL与引擎--基本使用(一)

1.查看所有的数据库

sql 复制代码
show databases;

2.创建库

sql 复制代码
CREATE DATABASE zabbix ENGINE = Ordinary;
ATTACH DATABASE ck_test ENGINE = Ordinary;

3.创建本地表

sql 复制代码
CREATE TABLE IF NOT EXISTS test01(
    id UInt64,
    name String,
    time UInt64,
    age UInt8,
    flag UInt8
)
ENGINE = MergeTree
PARTITION BY toDate(time/1000)
ORDER BY (id,name)
SETTINGS index_granularity = 8192

4.查看表结构

sql 复制代码
--查看表结构 desc dis_table;
desc  `default`.test_enum

5如何使用表引擎

sql 复制代码
--3.1 TinyLog
create table t_tinylog ( id String, name String) engine=TinyLog;

--3.2 Memory
create table t_memory(id Int16, name String) engine=Memory;
insert into t_memory values(1, 'lisi');


--3.3 MergeTree
create table t_order_mt(
    id UInt32,
    sku_id String,
    total_amount Decimal(16,2),
    create_time  Datetime
 ) engine=MergeTree
 partition by toYYYYMMDD(create_time)
 primary key (id)
 order by (id,sku_id)

 
insert into  t_order_mt
values(101,'sku_001',1000.00,'2023-08-01 12:00:00') ,
(102,'sku_002',2000.00,'2023-08-01 11:00:00'),
(102,'sku_004',2500.00,'2023-08-01 12:00:00'),
(102,'sku_002',2000.00,'2023-08-01 13:00:00')
(102,'sku_002',12000.00,'2023-08-01 13:00:00')
(102,'sku_002',600.00,'2023-08-02 12:00:00');
 
--3.3.4 数据TTL

create table t_order_mt3(
    id UInt32,
    sku_id String,
    total_amount Decimal(16,2)  TTL create_time+interval 10 SECOND,
    create_time  Datetime 
 ) engine =MergeTree
partition by toYYYYMMDD(create_time)
primary key (id)
order by (id, sku_id)

insert into  t_order_mt3
values(106,'sku_001',1000.00,'2021-01-16 10:58:30') ,
(107,'sku_002',2000.00,'2020-06-12 22:52:30'),
(110,'sku_003',600.00,'2021-01-17 12:00:00')




--3.4 ReplacingMergeTree


---建表
create table t_order_rmt(
    id UInt32,
    sku_id String,
    total_amount Decimal(16,2) ,
    create_time  Datetime 
) engine =ReplacingMergeTree(create_time)
partition by toYYYYMMDD(create_time)
primary key (id)
order by (id, sku_id);



---插入数据

insert into  t_order_rmt
values(101,'sku_001',1000.00,'2020-06-01 12:00:00') ,
(102,'sku_002',2000.00,'2020-06-01 11:00:00'),
(102,'sku_004',2500.00,'2020-06-01 12:00:00'),
(102,'sku_002',2000.00,'2020-06-01 13:00:00')
(102,'sku_002',12000.00,'2020-06-01 13:00:00')
(102,'sku_002',600.00,'2020-06-02 12:00:00')

--执行合并
optimize table t_order_rmt final;



--3.5 SummingMergeTree

---建表
create table t_order_smt(
    id UInt32,
    sku_id String,
    total_amount Decimal(16,2) ,
    create_time  Datetime 
 ) engine =SummingMergeTree(total_amount)
 partition by toYYYYMMDD(create_time)
   primary key (id)
   order by (id,sku_id )
--插入数据

insert into  t_order_smt
values(101,'sku_001',1000.00,'2020-06-01 12:00:00') ,
(102,'sku_002',2000.00,'2020-06-01 11:00:00'),
(102,'sku_004',2500.00,'2020-06-01 12:00:00'),
(102,'sku_002',2000.00,'2020-06-01 13:00:00')
(102,'sku_002',12000.00,'2020-06-01 13:00:00')
(102,'sku_002',600.00,'2020-06-02 12:00:00');

ClickHouse SQL与引擎--基本使用(一)

相关推荐
java_logo12 小时前
Docker 部署 ClickHouse Server:轻松搭建列式 OLAP 分析数据库平台
数据库·clickhouse·docker·私有化部署·olap·列式数据库·轩辕镜像
西风未眠5 天前
ClickHouse数据库引擎引起的数据丢失
数据库·clickhouse·故障
李兆龙的博客7 天前
从一到无穷大 #86:ClickHouse 收购 RunReveal——可观测性竞争进入宏观调控阶段
clickhouse
Gain_chance11 天前
大数据毕业设计实战|Data Insight Platform:用 FastAPI + ClickHouse 打造低门槛全链路数据洞察平台
大数据·数据库·clickhouse·毕业设计·fastapi
迷迭香yy14 天前
A股数据本地存储方案对比JSON、SQLite、ClickHouse、DuckDB怎么选 IG50免费开源股票数据API接口
clickhouse·sqlite·json
leisoo809715 天前
本地股票数据深度对比ClickHouse与Parquet存储方案 IG50免费开源股票数据API接口
clickhouse·开源
A.说学逗唱的Coke17 天前
【数据库专题】ClickHouse 深度实战:从列式存储原理到 PB 级海量日志与可观测性分析
数据库·clickhouse·硬件架构
吉甫作诵23 天前
阿里云 ECS 安装 ClickHouse:密码配置、目录迁移与基础调优
大数据·clickhouse
NineData23 天前
NineData Oracle 到 ClickHouse 数据迁移完整流程:结构复制、全量装载、增量同步
数据库·clickhouse·oracle·数据迁移·ninedata·增量同步·数据迁移工具
DB哥讲数据库1 个月前
【ClickHouse安装教程】从零开始部署高性能列式数据库(附ClickHouse安装包)
数据库·clickhouse