sql语句的简单⽤法db2删除修改字段名，db2⼀次增加多个字
段
db2不能直接修改字段名，要先drop删除字段名再add新的，如下：
alter table TM_APP_FINAL_AUDIT_QUOTA  drop column  graduallyApprovalLevel
alter table TM_APP_FINAL_AUDIT_QUOTA  add column  gradually_Approval_Level varchar(12);
db2 增加多个字段
alter table TM_APP_CREDIT_INFO add column IS_FIT_PBOC_MARRIAGE varchar(1) add column IS_FIT_COM_MOBILE varchar(1) add column IS_FIT_HOME_ADDRESS_MOBILE varchar(1) add column IS_FIT_EDUCATIONAL varchar(1)
感觉⿇烦就没有将表建进来，需要有基础的朋友替换相应的表和字段，谢谢
--mysql分页查询  5是查询在数据存储第5条数据20是从第五条开始的20条数据，因此显⽰的是6⾄26之间的数据
select * from tm_acl_dict where 1=1 limit 5,20
--修改字段长度
alter table tm_zm_score modify column CREDIT_UP_DATE varchar(32);
--移动表数据，从s2移动到tm_zm_watch_list_detail表，前提是两表的字段⼀致
insert into tm_zm_watch_list_detail
select * from s2 ;
--统计两张表的数据个数
select * from (select count(*) as c from tm_zm_watch_list_detail) as t0,
(select count(*) from s2) as s0;
--删除表
drop table s2;
-
-先去重⼀张表再右连接⼀张表，最后排序输出
select * from (
select distinct id_no from tm_zm_watch_list_detail) t0
right join cust on t0.id_no = cust.id_no
order by t0.id_no;
--先去重再计数
select count(distinct id_no) from cust;
//查询⽇期等于某天的
select * from tm_cis_req_prd_his t
q_date = '20170522'
select * from tm_zm_score t
_score='666'
//⼤于芝⿇分666的
select zm_score as score from tm_zm_score
where zm_score>666
//求和
select sum(zm_score) as score from tm_zm_score
sql中delete用法//求平均值
select avg(zm_score) as score from tm_zm_score
//求最⼤值
select max(zm_score+0) as score from tm_zm_score
//求最⼩值
select min(zm_score+0)as score from tm_zm_score
//求数据条数
select count(zm_score) from tm_zm_score
//数字字符串排序
select * from tm_zm_score order by zm_score+0 desc
//between and⽤法
select * from tm_zm_score where zm_score between 6 and 66 order by zm_score+0
//in ⽤法
select * from tm_zm_score where zm_score in (66)
//查询某个时间段所有⼤于0的数据并按芝⿇分降序排列
select * from tm_zm_score where zm_score>0 and create_date between '2017-04-30 00:00:00' and '2017-05-24 00:00:00' order by zm_score desc
//增加⼀列
alter table tm_zm_score add bb varchar(11)
//删除⼀列
alter table tm_zm_score drop aa
//模糊查询
select * from tm_zm_score where zm_score like '%6%'
//插⼊数据
insert into  tm_zm_score(cust_id,org) value('01','01');
//删除数据
delete from tm_zm_score where cust_id='02'
//更新数据
update  tm_zm_score set cust_id='02' where cust_id='01'
//左连接表查询
select * from tm_zm_watch_list left join tm_zm_watch_list_detail on
tm_zm_watch_list.cust_id=tm_zm_watch_list_detail.cust_id
//右连接查询
select * from tm_zm_watch_list right join tm_zm_watch_list_detail on
tm_zm_watch_list.cust_id=tm_zm_watch_list_detail.cust_id
//内连接
select * from tm_zm_watch_list inner join tm_zm_watch_list_detail on
tm_zm_watch_list.cust_id=tm_zm_watch_list_detail.cust_id
//索引创建
create  index q on tm_acl_dict(id)
//删除索引
drop index q on tm_acl_dict
select * from tm_acl_dict where id=1000
select zm_score as score from tm_zm_score where zm_score=66
//group by 分组查询
select type_name,count(type_name)  from tm_acl_dict group by type_name
select count(type_name) from tm_acl_dict t pe_name='省'
select count(type_name) from tm_acl_dict where type_name='省'
//case ⽤法
select type_name as '地区',
case type when 'state'
then code else 0 end as'code'
from tm_acl_dict
//改变主键前要先删掉原先的主键
alter table tm_td_post_loan_monitoring_data_person_info drop PRIMARY KEY
alter table tm_td_post_loan_monitoring_data_person_info add primary key(id_number)

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