mysql查询表注释、字段、备注、大小、存储过程

查询字段注释

查询表注释字段注释

SELECT
a.TABLE_SCHEMA 库名,
a.table_name 表名,
a.table_comment 表说明,
b.COLUMN_NAME 字段名,
b.column_comment 字段说明,
b.column_type 字段类型,
b.column_key 约束
FROM
information_schema.TABLES a
LEFT JOIN information_schema.COLUMNS b

ON a.table_name = b.TABLE_NAME and a.TABLE_SCHEMA = b.TABLE_SCHEMA
WHERE
a.TABLE_SCHEMA = 'qhdata_warehouse_north_stat' and a.TABLE_NAME LIKE 'dw_ytb_org_finance%'
ORDER BY
a.TABLE_SCHEMA,a.table_name

查询数据库名和表名
SELECT
    TABLE_SCHEMA,TABLE_NAME,TABLE_COMMENT
FROM
    information_schema.`TABLES`
WHERE
    TABLE_SCHEMA = 'db_lgdata_ioc'
AND TABLE_NAME LIKE 'ud_lg_ioc_tech_inovate%'


select  * from information_schema.ROUTINES   where ROUTINE_SCHEMA='qhdata_theme' and  ROUTINE_NAME like '%proc_db_mjfx_%'

查询存储过程

mysql如何查询所有的存储过程中是否使用到这张表
判断一个表在哪些存储过程中
select * from mysql.proc
where db = 'db_lgstat_ioc' and type = 'PROCEDURE'
and body like '%s_ls_tjj_qdsjgljlgqqrqymd%'


查询所有存储过程，存储过程备份
-- mysql5以下
select db, name, CONVERT (body USING utf8)  from mysql.proc
where db in  ('test') and type = 'PROCEDURE';
-- mysql 8 
select ROUTINE_SCHEMA,SPECIFIC_NAME,ROUTINE_DEFINITION from   information_schema.ROUTINES  
where ROUTINE_TYPE='PROCEDURE'  and ROUTINE_SCHEMA in('qhdata_market') ;


mysql8.0写法
-- ROUTINE_SCHEMA  存储过程库名
-- ROUTINE_NAME        存储过程名
-- ROUTINE_DEFINITION    存储过程内容
select * from   information_schema.ROUTINES  
where ROUTINE_TYPE='PROCEDURE' 
and  ROUTINE_DEFINITION like '%dw_lg_ioc_gdzctz_jc%'

表大小

第二种：查询所有数据的大小
select concat(round(sum(DATA_LENGTH/1024/1024),2),'MB') as data from information_schema.TABLES
第三种：查看指定数据库的大小，比如说：数据库apoyl
select concat(round(sum(DATA_LENGTH/1024/1024),2),'MB') as data from information_schema.TABLES where table_schema='apoyl';
第四种：查看指定数据库的表的大小，比如说：数据库apoyl 中apoyl_test表
select concat(round(sum(DATA_LENGTH/1024/1024),2),'MB') as data from information_schema.TABLES where table_schema='apoyl' and table_name='apoyl_test';

表容量

库的每个scheme
select
table_schema as '数据库',
sum(table_rows) as '记录数',
sum(truncate(data_length/1024/1024, 2)) as '数据容量(MB)',
sum(truncate(index_length/1024/1024, 2)) as '索引容量(MB)'
from information_schema.tables
group by table_schema
order by sum(data_length) desc, sum(index_length) desc


库的所有
select 
 sum(记录数)
,sum(`数据容量(MB)`)
,sum(`索引容量(MB)`)
from 
(

select
table_schema as '数据库',
sum(table_rows) as '记录数',
sum(truncate(data_length/1024/1024, 2)) as '数据容量(MB)',
sum(truncate(index_length/1024/1024, 2)) as '索引容量(MB)'
from information_schema.tables
group by table_schema
order by sum(data_length) desc, sum(index_length) desc

)b;