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
袖清暮雨4 天前
ClickHouse讲解
大数据·数据库·数据仓库·clickhouse·oracle
江枫渔火L5 天前
使用clickhouse的ReplacingMergeTree引擎表做活跃玩家信息表
数据库·clickhouse
潇凝子潇7 天前
Doris ClickHouse Greenplum 对比
clickhouse·doris·greenplum
递归尽头是星辰9 天前
ClickHouse核心优势分析与场景实战
大数据·数据仓库·clickhouse·实时分析·实时查询
鲁尼的小宝贝10 天前
基于Flink的数据中台管理平台
java·大数据·clickhouse·flink·yarn
问道飞鱼15 天前
【大数据知识】今天聊聊Clickhouse部署方案
大数据·clickhouse·部署
Fireworkitte17 天前
ClickHouse详解
clickhouse
知其_所以然18 天前
使用docker安装clickhouse集群
clickhouse·docker·容器
wuli玉shell18 天前
Doris和Clickhouse对比
clickhouse·doris
SelectDB技术团队21 天前
可观测性方案怎么选?SelectDB vs Elasticsearch vs ClickHouse
大数据·数据仓库·clickhouse·elasticsearch·信息可视化·doris·半结构化