clickhouse常用语句汇总——持续更新中
·
零、查看数据库match开头的表名有哪些
SELECT database, name
FROM system.tables
WHERE name LIKE 'match%';
一、查询判断是否包含指定列
1.根据数据库,表名查看表包含的列
SELECT name
FROM system.columns
WHERE table = 'table_name'
AND database = 'databasename';
2.查找指定列target_column是否是表table_name的列
SELECT count() > 0 AS column_exists
FROM system.columns
WHERE table = 'table_name'
AND database = 'databasename'
AND name = 'target_column';
二、一次查看多表条数count值
select
(select count(*) as tablename1 from databasename.tablename1)
,
(select count(*) as tablename2 from databasename.tablename2)
,
(select count(*) as tablename3 from databasename.tablename3)
三、OR EXISTS (SELECT 1 FROM …) 判断条件中的两个条件之一是否成立
1.基本语法:
SELECT ...
FROM ...
WHERE condition1
OR EXISTS (SELECT 1 FROM table_name WHERE subquery_condition);
2.使用示例:
示例1:判断两表join后是否有数据
or exists
(SELECT 1 FROM databasename.tablename1 T1 join databasename.tablename2 as T2
on T1.id=T2.id AND T1.num=T2.num AND T1.score=T2.score)
)
示例2: 查询有订单的用户,或年龄大于 30 的用户
SELECT *
FROM users
WHERE age > 30
OR EXISTS (SELECT 1 FROM orders WHERE orders.user_id = users.id);
示例3:NOT EXISTS配合使用
SELECT *
FROM users
WHERE NOT EXISTS (SELECT 1 FROM orders WHERE orders.user_id = users.id)
OR EXISTS (SELECT 1 FROM orders WHERE orders.user_id = users.id AND amount > 1000);
四、开窗函数的使用
(1)根据指定列col3分组统计,取col3出现次数,也就是对应条数少于3的数据
SELECT
col1,
col2,
col3,
cnt
FROM (
SELECT
*,
COUNT() OVER (PARTITION BY col3) AS cnt
FROM your_table
)
WHERE cnt < 3
五、使用LEFT ANTI JOIN(ClickHouse特有语法)
(1)查找A表中B表没有的数据
SELECT A.*
FROM A
LEFT ANTI JOIN B ON A.key = B.key
六、新增一列
(1)插入一列insert_col_nam ,插入位置为before_col列之后,插入的列类型为String类型
alter table database.target_tableadd add column insert_col_nam String after before_col;
七、删除指定数据
alter table your_table_name delete where 条件
八、删除指定列
ALTER TABLE database.table DROP COLUMN field1
九、UPDATE语句
UPDATE database.table SET field='O' WHERE field1 ='20250918_09'
十、重命名字段
ALTER TABLE database.table RENAME COLUMN rename_col TO renameed_col
十一、基于select查询语句创建表
--基于Memory(不能修改字段)
CREATE TABLE database.table_bak ENGINE = Memory AS(
select * from database.table)
--可以修改字段,但是需要指定主键
CREATE TABLE database.table_bak
ENGINE = MergeTree
ORDER BY (field1,field2) AS(
select * from database.table)
十二、10的N次方
SELECT toInt64(pow(10, 4)) AS result;
--pow(x, y) 表示 xyx^yxy(x 的 y 次方)。
--返回值类型通常是 Float64。
更多推荐

所有评论(0)