SQL语句--获取数据库表信息，表名、列名、描述注释等

        ​​information_schema​​详解

import pandas as pd import re import psycopg2 from sqlalchemy import create_engine # 连接库账户信息 gongsi_engine = psycopg2.connect(dbname='kk_dw',user='*******',password='*****',host='***') # 从公司数据库读取需要的数据表 table_data = pd.read_sql(r"select * from pg_tables where schemaname = 'dwd';",con=gongsi_engine) table_data.head() data = pd.read_sql(r"""select * from information_schema.columns where table_schema='dwd' and table_name='dwd_store_other_in_storage_orders_detail'""",con=gongsi_engine) data[['table_name','column_name','udt_name']]

        获取描述等 

data = pd.read_sql(r"""select 
    a.attnum,
    n.nspname,
    c.relname,
    a.attname as field,
    t.typname as type,
    a.attlen as length,
    a.atttypmod as lengthvar,
    a.attnotnull as notnull,
    b.description as comment 
from
    pg_namespace n left join pg_class c
    on n.oid = c.relnamespace
    left join pg_attribute a 
    on a.attrelid = c.oid
    left join pg_description b 
    on a.attrelid = b.objoid and a.attnum = b.objsubid
    left join pg_type t 
    on a.atttypid = t.oid
where
    n.nspname = 'dwd'       --table_schema
    and c.relname = 'dwd_store_o2o_sales_detail' -- table_name
    and a.attnum > 0   
order by
    a.attnum;""",con=gongsi_engine)

         这样实现的功能，是我能批量获取数据库里面的表名与字段以及字段描述等信息。