• Navicat


    create table <表名>
    (
        <列名> <数据类型及长度> [not null],
        <列名> <数据类型及长度>,
        ...
        <列名> <数据类型及长度>
    )

    drop table <表名>


    导入导出数据
    把表变成sql代码
    备份与还原

    习题  创建表格


    增,删,改,查  CRUD

    添加:
    insert into <表名>[(列1,列2....)] values(<'值1'>[,'值2'])
    注意:
    1.列与值要匹配(数量,类型,次序)
    2.列可以省掉,但值必须与表中的总列数和列的次序完全对应。
    3.自增长列,不能省掉自增列,给自增列赋个''




    delete from car where code='c001'
    delete from car where brand='b001' or brand='b004'
    delete from car where brand='b001' || brand='b004'
    delete from car where brand='b007' && price>50
    delete from car where brand='b007' and price>50

    <>  !=


    更新
    update <表名> set <列=值>[,列=值...] where .....
    update info set sex='1'  where code='p003'
    update info set sex='0',nation='n004',birthday='1999-9-9' where code='p001'
    update car set price=price * 0.9 where price > 30
    update car set price =price * 0.95 where (brand='b006' || brand='b005')&&price>30



    查询
    select * from 表名
    select 列名1,列名2... from 表名        --投影
    select * from 表名 where 条件        --筛选

    1.等值与不等值
    select * from car where code='c001';
    select * from car where code != 'c001';
    select * from car where price > 30;
    --下面的都是范围
    select * from car where price >=30 && price <=50;
    select * from car where price between 30 and 50
    select * from car where brand='b002' || brand='b004' || brand='b006'
    select * from car where brand in ('b002','b004','b006')

    2.模糊查
    select * from car where name like '宝马%'        %--任意多个任意字符
    select * from car where name like '%5%'
    select * from car where name like '%型'
    select * from car where name like '__5%'        _ -- 一个任意字符

    3.排序
    select * from 表名 where .... order by 列名 [ASC/DESC],列名[asc/desc]....

    select * from car order by  price desc
    select * from car order by brand desc,price asc
    习题

  • 相关阅读:
    分布式文件存储系统-HDFS
    Java中的常用类
    分布式协调框架ZooKeeper
    【Redis】Redis慢查询
    kubectl工具管理应用
    kubectl命令管理
    To check your hdfs port use the following command in linux
    hadoop HDFS常用文件操作命令
    在scala中关于split以及正则表达式
    pandas入门之Series
  • 原文地址:https://www.cnblogs.com/zoubizhici/p/5529483.html
Copyright © 2020-2023  润新知