MySQL的笔记

 一、关于索引

MySQL中的索引官方定义是帮助Mysql高效的获取数据的数据结构。树结构类型，类似于图书的数目索引，可以提高数据检索的效率，降低数据库的IO成本
索引的分类：聚集索引与非聚集索引、唯一索引与非唯一索引
聚集索引的意思可以理解为顺序排列，比如一个主键自增的表即为聚集索引。一个表只能包含一个聚集索引。
唯一索引：如果该字段信息保证不会重复例如身份证号用作索引时，可设置为unique
CREATE INDEX mycolumn_index ON mytable (myclumn)
建立索引
数据库查询优化方案：
一、对表字段的优化：
1、最好不要给数据库留NULL，尽可能的使用 NOT NULL填充数据库.
2、尽量使用数字型字段，若只含数值信息的字段尽量不要设计为字符型，这会降低查询和连接的性能，并会增加存储开销。这是因为引擎在处理查询和连 接时会逐个比较字符串中每一个字符，而对于数字型而言只需要比较一次就够了。
3、尽可能的使用 varchar/nvarchar代替 char/nchar ，因为首先变长字段存储空间小，可以节省存储空间，其次对于查询来说，在一个相对较小的字段内搜索效率显然要高些。
二、对SQL语句的优化
对查询进行优化，要尽量避免全表扫描，首先应考虑在 where 及 order by 涉及的列上建立索引。
应尽量避免在 where 子句中对字段进行 null 值判断，否则将导致引擎放弃使用索引而进行全表扫描
应尽量避免在 where 子句中使用 != 或 <> 操作符，否则将引擎放弃使用索引而进行全表扫描。
应尽量避免在 where 子句中使用 or 来连接条件，如果一个字段有索引，一个字段没有索引，将导致引擎放弃使用索引而进行全表扫描
应尽量避免在 where子句中对字段进行表达式操作、函数操作，这将导致引擎放弃使用索引而进行全表扫描。
join 语法，尽量将小的表放在前面，在需要on的字段上，数据类型保持一致，并设置对应的索引，否则MySQL无法使用索引来join查询

in和 not in 也要慎用，否则会导致全表扫描
对于连续的数值，能用 between就不要用 in 了
很多时候可以使用 exist 和not exist代替in和not in。
LIKE操作符 例如LIKE ‘%5400%’ 这种查询不会引用索引，而LIKE ‘X5400%’则会引用范围索引。
对于多张大数据量（这里几百条就算大了）的表JOIN，要 先分页 再JOIN，否则逻辑读会很高，性能很差。
select count(*) from table；这样不带任何条件的count会引起全表扫描，并且没有任何业务意义，是一定要杜绝的。
任何地方都不要使用 select * from t ，用具体的字段列表代替“*”，不要返回用不到的任何字段。
不要以字符格式声明数字，要以数字格式声明字符值。（日期同样）否则会使索引无效，产生全表扫描。
尽量避免使用游标，因为游标的效率较差（游标（cursor）是系统为用户开设的一个数据缓冲区，存放SQL语句的执行结果）
尽量避免向客户端返回大数据量，若数据量过大，应该考虑相应需求是否合理。
三、  对数据库进行修改的优化处理
索引并不是越多越好，索引固然可以提高相应的 select 的效率，但同时也降低了 insert 及 update 的效率，因为 insert 或 update 时有可能会重建索引，所以怎样建索引需要慎重考虑，视具体情况而定。一个表的索引数最好不要超过6个
(临时表 #本地临时表 ##全局临时表) 避免频繁创建和删除临时表，以减少系统表资源的消耗。在新建临时表时，如果一次性插入数据量很大，那么可以使用 select into 代替 create table，避免造成大量 log ，以提高速度；如果数据量不大，为了缓和系统表的资源，应先create table，然后insert。
尽量避免大事务操作，提高系统并发能力。
Update 语句，如果只更改1、2个字段，不要Update全部字段，否则频繁调用会引起明显的性能消耗，同时带来大量日志 ORM对象关系映射（性能差）

二、组合索引

为了形象地对比单列索引和组合索引，为表添加多个字段：
1. CREATE TABLE mytable( ID INT NOT NULL, username
VARCHAR(16) NOT NULL, city VARCHAR(50) NOT NULL, age INT NOT NULL );

为了进一步榨取MySQL的效率，就要考虑建立组合索引。就是将 name, city, age建到一个索引里：
1. ALTER TABLE mytable ADD INDEX name_city_age (name(10),city,age);

建表时，usernname长度为 16，这里用 10。这是因为一般情况下名字的长度不会超过10，这样会加速索引查询速度，还会减少索引文件的大小，提高INSERT的更新速度。
如果分别在 usernname，city，age上建立单列索引，让该表有3个单列索引，查询时和上述的组合索引效率也会大不一样，远远低于我们的组合索引。虽然此时有了三个索引，但MySQL只能用到其中的那个它认为似乎是最有效率的单列索引。

删除索引
alter table pay_info drop index orderId_index;

三、字符串拼接

select concat("update product_category set `subsidyLimit`='", `subsidyLimit` ,"' where id='", id, "';") from product_category WHERE id LIKE '%B%' AND `level` = 2

 

select concat("update u_permission set sequence='", sequence ,"',icon='",icon,"' where permissionId='", permissionId, "';") from u_permission WHERE sequence BETWEEN '41' AND '46'

 

select concat("INSERT INTO u_role_permission ( roleId,permissionId)VALUES('", roleId, "','", permissionId, "');") from u_role_permission WHERE permissionId='51e4a46bac1f4b3db853a27344f181ca'

 

select concat("update main_log set outResult='", a.comContractUrl,"' where functionName = '企业上传合作协议' AND  functionKey='", a.orderId, "';")

from (SELECT b.functionName,b.comContractUrl,b.orderId FROM

(SELECT t.comContractUrl,t.orderId,m.functionName FROM transaction_info t LEFT JOIN main_log m ON t.orderId = m.functionKey )b)a

 

concat(IFnULL(b.handOverFileUrl,""),",",IFNULL(b.bankUrl,""),",",IFNULL(b.receiptUrl,""))

 

 

四、添加字段

ALTER TABLE people ADD COLUMN name VARCHAR(100) DEFAULT NULL COMMENT '姓名'

   修改表 people  增加字段 name    长度100  默认为null   备注：姓名

 

五、有条件的修改字段

<update id="updateSecondRentalInThird" parameterType="com.rental.entity.SecondRental">

        UPDATE secondrental

        <set>

            <if test="fid              !=null">fid = #{ fid },</if>

            <if test="sname       !=null">sname = #{ sname },</if>

        </set>

        WHERE

        sid=#{sid}

    </update>

 

六、有条件的插入数据

insert into  tablename( 属性1，属性2) values ('值1'，‘值2’);

insert into  tablename(属性1，属性2) select '值1','值2' from dual where exists (select  值1 from tablename where 子句); 

例子：

<insert id="insertdemo" parameterType="com.略.entity.table_name">

  insert into table_name (id, name

      )

      select  #{id}, #{name}

      from dual where not exists

      (select 1 from table_name where id=#{id} and name=#{name})

  </insert>

 

<insert id="insertOrgInfo" parameterType="com.xql.ctv.entity.ctv.entity.organization_type">

   insert into organization_type( id, typeName, orglv, parentType, instruction, updateTime)

   select #{id,jdbcType=CHAR}, #{typeName,jdbcType=VARCHAR}, #{orglv,jdbcType=VARCHAR},

      #{parentType,jdbcType=BIT}, #{instruction,jdbcType=VARCHAR}, #{updateTime,jdbcType=TIMESTAMP}

    FROM dual

    WHERE not EXISTS (SELECT typeName FROM organization_type WHERE typeName = #{typeName})

</insert>

 

 

七、拆出时间中的月份

SELECT count(1)as mount, DATE_FORMAT(payTime,'%Y')AS years,DATE_FORMAT(payTime,'%m')AS months  FROM pay_info

GROUP BY years,months

 

八、sum()带条件统计

SUM(if(a.comType=1,a.registeredCapital,0))AS foreignRegistered,  -- 求所有 类型为1 所有registeredCapital 的 总和

IFNULL(SUM(1111>status AND status>=50),0)                           -- 求 status<100的status 的个数

IFNULL(SUM(b.employedNum>=50),0)AS totalPerson2,            -- 求 数量在50-100之间的 个数

 

九、字符串去除某字符包含了某字符串

SELECT COUNT(1)amount,replace(replace(industry,"[\"",""),"\"]","")AS industryNew FROM com_basic_info

WHERE replace(replace(industry,"[\"",""),"\"]","") LIKE '%互联网%' OR  replace(replace(industry,"[\"",""),"\"]","") LIKE '%专用%' GROUP BY industry

 

十、分组后再分组

SELECT SUM( c.total) total,

             CASE WHEN c.type IN('1','2','3') THEN '1'

             WHEN c.type IN ('4') THEN '4'

             WHEN c.type IN ('5') THEN '5'

             WHEN c.type IN ('6') THEN '6'

             WHEN c.type IN ('7') THEN '7'

             ELSE c.type END as types, IFNULL(SUM(c.mount),0) AS mount

             FROM

            (

             SELECT   (SELECT COUNT(1) FROM com_basic_info)total,COUNT(1) AS mount,

             SUBSTRING(a.comType,1,1) AS type

             FROM com_basic_info a LEFT JOIN com_year_report b ON a.creditCode = b.creditCode  

             WHERE b.reportYear = (DATE_FORMAT(NOW(),'%Y')-1) GROUP BY type

            )c

             GROUP BY types

 

十一、时间取当今年 的往前3个月的 数据

SELECT COUNT(1) FROM com_basic_info WHERE DATE_FORMAT(foundingTime,'%Y-%m') = DATE_FORMAT(NOW(),'%Y-%m')

             OR DATE_FORMAT(foundingTime,'%Y-%m') = date_format(DATE_SUB(curdate(), INTERVAL 1 MONTH),'%Y-%m')

             OR DATE_FORMAT(foundingTime,'%Y-%m') = date_format(DATE_SUB(curdate(), INTERVAL 2 MONTH),'%Y-%m')

 

十二、截取字符串

SUBSTRING(b.payedDate,5,6)

 

 

十三、关联表更新

 UPDATE tdb_goods AS g JOIN tdb_goods_brands AS b ON g.brand_name = b.brand_name JOIN tdb_goods_cates AS c ON g.goods_cate = c.cate_name SET g.brand_name = b.brand_id, g.goods_cate = c.cate_id;

 

十四、left join on 条件

SELECT  count(1),a.level,a.minScore,a.maxScore,a.topLimit FROM(

(SELECT level,minScore,maxScore,topLimit

FROM bracket_info b LEFT JOIN credit_limit_by_bracket_item c ON b.id = c.bracketId LEFT JOIN credit_limit_by_bracket_record cr

ON c.recordId = cr.recordId

WHERE cr.recordId = '58a01f9d96174c25b70e7fa546cfa949' ORDER BY LEVEL asc)a

LEFT JOIN (SELECT score  FROM voucher_apply_info WHERE batchId = 'a1854d50ee484c04b744952ca90605e6' AND STATUS = 4  ORDER BY score)b ON (b.score BETWEEN a.minScore AND maxScore)

)GROUP BY level

 

十五、分组中时间最新的数据

SELECT a.regno,a.score FROM voucher_apply_info a

LEFT JOIN (SELECT MAX(updateTime)AS maxTime FROM voucher_apply_info GROUP BY regno )b ON a.regNo = b.regno

WHERE a.updateTime = b.maxTime  ORDER BY a.score DESC LIMIT 50

 

 

十六、表几种连接方式

1） 内连接   

  select   a.*,b.*   from   a   inner   join   b     on   a.id=b.parent_id       

  结果是     

  1   张3                   1     23     1   

  2   李四                  2     34     2   

 

  2）左连接   

  select   a.*,b.*   from   a   left   join   b     on   a.id=b.parent_id       

  结果是     

  1   张3                   1     23     1   

  2   李四                  2     34     2   

  3   王武                  null   

 

3） 右连接   

  select   a.*,b.*   from   a   right   join   b     on   a.id=b.parent_id       

  结果是     

  1   张3                   1     23     1   

  2   李四                  2     34     2   

  null                       3     34     4   

 

4） 完全连接   

  select   a.*,b.*   from   a   full   join   b     on   a.id=b.parent_id   

  结果是     

  1   张3                  1     23     1   

  2   李四                 2     34     2   

  null               　　  3     34     4   

  3   王武                 null

 

十七、修改sql中字段注释

alter table test1 modify column field_name int comment '修改后的字段注释';

alter table goods_info modify column status int comment '修改后的字段注释';

 

十八、一个企业多条数据多个标签，用|分隔 组装

-- 效果：国家高新技术企业 | 科技小巨人培育企业

select IFNULL(GROUP_CONCAT(b.tagName SEPARATOR ' | '),'')as tagNameNew,a.comId,a.tagId FROM com_tag_relevance a

LEFT JOIN com_tag b ON a.tagId=b.tagId

group by a.comId;

 

十九、随机排序

SELECT * FROM voucher_apply_info order by rand();

 

固定一条数据排在前面，其它随机排序

1、SELECT * FROM com_info order by field(regNo,340191000113172) DESC;

2、SELECT * FROM com_info order by IF(regNo='340191000113172',1,rand()) DESC;

 

注：

0<rand()<1

 

二十、 分组后组内排名

详细：https://www.cnblogs.com/niniya/p/9046449.html

一、分组普通排名：顺序排名
SELECT city,score,rank
FROM
(
SELECT cs.*,IF(@p=city,@r:=@r+1,@r:=1) AS rank,
　　　　@p:=city
FROM cs,(SELECT @p:=NULL,@r:=0)r
ORDER BY city,score
)s;

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" alt="" />

二、 分组后并列排名：组内相同数值排名相同
SELECT city,score,rank
FROM
(
SELECT *,
IF(@p=city,
    CASE
       WHEN @s=score THEN @r
       WHEN @s:=score THEN @r:=@r+1
    END,
   @r:=1 ) AS rank,
@p:=city,
@s:=score
FROM cs,(SELECT @p:=NULL,@s:=NULL,@r:=0)r
ORDER BY city,score
)s;

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" alt="" />

 

 

　　例子、SELCT typeNew,productId,productQuanSum,productType,rank FROM

        (SELECT a.*,IF(@p=a.typeNew,@r:=@r+1,@r:=1) AS rank,@p:=a.typeNew

        FROM (SELECT substring(productType,1,5)AS typeNew,productId,SUM(quantity)AS productQuanSum,productType FROM transaction_info GROUP BY productId)a,(SELECT @p:=NULL,@r:=0)r

        ORDER BY typeNew,a.productQuanSum)s

    WHERE productType is NOT null AND rank <4

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KSeU9ij4SZlTFEY10BkbDKgaXLxkRqq9kYk8eaOjPCPTVfkUpsiu+AulY/yY2gNquMgUieTrmAn1yzNpvGO0i/VO6tfQkwG4CG1oTWQqQN8z7T9r26X8gxj45HMBtLOf0Os0FJu34Kk7SCcUUrEim7FLMyhlC0F0AurLqvcr0bzIbYvzV1ZkR7urTXm+Lbg+pbQ+VhjTGofVsd9nTWuK5PiU3jHaZff55LgNkANKQman6x+v3avP3s+ry62aD4LeX0/WaDxGUEWoW8LDAlRCHUrGzGlcUpNp0cvdgw75KhdyvMRokJb7umzgx/T5cvvU3xzT7BqL0oTnlH7GX5R/fBqlLZ1j63jrdLvyvXvgSYDUBDaKKc/9by9nKOeXRc2mys/FZqt9kg0XhOxnvvCqxMkBw1UU00Kxvgi/Ya0Js+/fXJQLutsdng7ezhXlNnRhynXEib4luSHZvPwHHNci/2xV6Wqz0I1p/1uW28Hjv1u2btS4DZADS4JkgHzeXtFTnm0XFps7GQ00fsNhvAflxaWEDTgLYADWiifTxDjGA2vgA4/MBZgLYADWiifcBsKMBsHAMcfuAsQFuABjTRPmA2FGA2jgEOP3AWoC1AA5poHzAbCjAbxwCHHzgL0BagAU20D5gNBZiNY4DDD5wFaAvQgCbax1OaDTIUGakBCIIgCILgFnLgm41PgN50ADgK0BagAU20j2eIEczGFwCHHzgL0BagAU20D5gNBZiNY4DDD5wFaAvQgCbaB8yGAszGMcDhB84CtAVoQBPtA2ZDAWbjGODwA2cB2gI0oIn2AbOhALNxDHD4gbMAbQEa0ET7gNlQ8M3G8Kuazi8JVtSfL7a/OFnf11+I835SPSojRH1eA1ZYfL3zr+VFv9A4//y4/VXXubrzi6/hLysG+yl+xVH/il8So73tRJmaq/hlQUcTonxuq39R19eps36xhmx9G/SZrGHdPJfhJ61gPsBTwNdEO3n7KO1fGdc3Gzz2/j1zv9mgxPvy4vxE8HjZvXav5meFa9n0riThsf1ymd/ndSA3vQZpPl+0xmG9Yu0j6h7U+vRndqjLJTg+83oDhstOjhXtp5rX6hjtbUdl81ql0er75D8NL9r1oOcdPx0/Ykx2cz1nDVP/WdnCfiZrWDPPNZDayuYDPAvci6yhvH2U9q+Ma5sNiq/MZZ5hvNtsUKImodAATv8FRkzlUuQir2Is7bMyhisLVGx6OfT+RdmvUhmRHmJ/aG/kJ4h5X/x9s/tbYfeTxub16HkYK43R3nYK4hLXYH06e8CR6bJg2P83vn4zNhsjK2NY1idfw4p5rkSUtJbnAzwqPE20lLeP0v6VcW2zoRDk7jvNRpaEZxiBUV2lrqlOVsbgvbsK5KbTpZMfeL4f5VP49Gwvunlf/MO+JQmMCamAx2UhRnvbcUTvC6ifMbExszB+DTu3q2sd38+ftEbMeyHGo/6NoRj2LCtjSOdP4GsY+ojnuR4wG4CG1QTprZW8fZz2r4xHMhtRrrnPbAihyk9qHHpweWFWjHWyMo5oQVeAEVa5eIKDJj4x6IuNJY3ySHXHZ113hP/e288SiykJzOVLMdrbrs6/trHzHjDUmcqHvZuexR5IlPFZYuVje/Nwx1gaf4C3nxN0Hwp6nlsAswFouPmm0bx9j/avjMubjSGnZbn7LrOhhRMJybwnsUfCzMoYorGugEhY5aBRwMT6mTkoAeWGpJaVNoU8aWRmwyYXs59lLF6PfQOTxWhvOwV6r5NO3R81d5E4K2JtsMSq2pk2VD7ua1/v7ZWNm5UNiObgrsEgvgCWALMBaGhNaC1E2nDPRHR+szKGaKwZ+7V/ZVzebDBQjHVOJtxhNuolMiXdifbTuStaMRl2MWZlDMuibRe5sNjlPGD81DD+d4ZvHCoCs2H2t0Lvpx2L1UlitLedhUw61Ifut4DMjVpPrI2xzzqu1W5PZ29qu+jrXb/Mm0O4BgO59i2A2QA0pCZIW0rzha3k7f3avzIeyWxEMdxvNkhcRqBVyMsCU0IUQs3KZlw5eYpNp8tSbJgTqOHbAvrX43LJtFfRwXQOe4mZX9/sZ/YNRRaje9qxyRbTIvqMLvva5zR3Mf5H1/uKCbRGT0uETE97yvz9jNewdp5LgNkANIQmSg5oKW8fp/0r49JmI8vdDLvNRhGFVmcP770VWI+SfPu6hUr8WdkAt8+LQG96Cc60Xnvo+xrlINsA0vvcbPB+s0Ps7mdJTHN7Ma8sRjvbyX1gZaq/kXO/NVna92oPVq9fttPJMS6bYfYzXcP6eS4BZgPQ4JogHbSVt4/T/pVxabPRI8zdDLvNBrAfVxcW0C6gLUADmmgfzxAjmI0vAA4/cBagLUADmmgfMBsKMBvHAIcfOAvQFqABTbQPmA0FmI1jgMMPnAVoC9CAJtoHzIYCzMYxwOEHzgK0BWhAE+0DZkMBZuMY4PADZwHaAjSgifbxlGaDDEVGagCCIAiCILiFHIvfbPz+bx14J2nTvfcgeC+hLVATmmifzxAjmI0vIA4/eBahLVATmmifMBsKMBvHEIcfPIvQFqgJTbRPmA0FmI1jiMMPnkVoC9SEJtonzIYCzMYxxOEHzyK0BWpCE+0TZkMBZuMY4vCDZxHaAjWhifYJs6Hgm42P7scfbt3tT+9OGfG9+367dd/+9sN9X38l7qX78Q8ry/6e/3qmbncNWmHx9d66739f3//8U//s7Ouvv33pbn94636Ne++0neLCyujX+H6qviqDGP3DW/eNtZ/7JiYxytqtil8wn4X3us+yT9P7mdN80vUR7XhLfZpyHr/FtUfrW08/ad3fL3hd+ppoKW/zdjpHZWWPw8cwG5FmKu83G5Sw//DSJ20thPGye+2+95emnEAtm94VIY7ts7J+MeWSpT/rsutQCqsGaL7oaP3Dmtz11f2p9enP7OCWy3N85vUGDgdejhXFSM1rS4zCduviN17Y83yyeWZzUSz7s2ae2XiKos9qEP362do3jLdAqa3j+gWvS/ciayZvU7t5DvIDVlb2WLy22cg0M/Nus0EXA3VOQhAXG6NJwCpBj5Mt7bOy6d1IujC0S26fQljl0LODKKguRKLYH9obuf55r4N9M/tbaWJUxub12F6nMUraTe+SsmE/fgSi3aSl6V2l1Oi6edp9seV8LP0cc994S4yS1r39gtelp4lm8zYZkSgfZmUX57XNxswsz9xpNkhQg2gSIZgJUF3lUKc6WRl7V0h1hcCvQSksOnj5gef7UT71C+cvD+28V9Fh9997ezwmpPLM47IQo7CdponfPLco5ub9wlwmUj2lzzXzjOZRaPqs869f+VanH2rTrL0yHW8FYTZATasJljecczFy01nLyti7wkD7xEynj6xhmA0FYzaEUGO3qicgL0xZJyvj76qTji/plmmEVQ5fcDmJTwzaKLCkMdUdn3Xdkf57b49LLKaLcy5filHUTtCJH+/Djbnzfp1e/DWvmWc0j3h/Z5b+vUSeaDcebx1hNkBNN9+0lLeHd3QGzZnIyh6IMBsK2mzojqOBzPvMBWdlw3O9JPwDcgVGwpouP7F+dqmVg8cNSS0bL0u5J9FlSO/t3pkYlbF4PfYNTBajrN1Q142fSIDOfKL3K/Ri9218l8+TGM3D7dPQJvIl7YbjrSTMBqipNaG1EGnDvP+EvE1tsm9aorKrE2ZDQZqNmpzni26kTcBmAupiERdjVtY/F8EpUV+NubCCy7lf8/jfua5vHOYye3na/a3UMbJjsTpJjNJ2w59t/Gp7q6Weaq56nkt6cdv0XJpn9i57LynNBrWxa5dc129MmA1QU2qi9bxtDfq6smsTZkNBmA0SlxGovSiJdgLqQhBCTcpWfZpsn0JYtCZxCJ0DNXwKp389Lg8a7VV0+NQ+EkvM/PomRukn/6UYBe02xC8S7TYtEYMEla5vpj+PoM9+Lr/YO2q7VbvRutcSZgPUFJooOaChvE1lLP+VDwG8XVT2YITZUOBmoyRSx6l6790JFAGSoyYqIUZl5aCM72fqQ9I6tbDKIUrXUw+yPWj03rv0xrK5z8LkoLoxUvst5pXFL2q3IX6RaPdpKUh02foGxuN5fao95/u9cu3RutcSZgPU5JogHbSWt2X+k31mZY9EmA0F8w9EwV18FGGB7RHaAjWhifb5DDGC2fgC4vCDZxHaAjWhifYJs6EAs3EMcfjBswhtgZrQRPuE2VCA2TiGOPzgWYS2QE1oon3CbCjAbBxDHH7wLEJboCY00T5hNhRgNo4hDj94FqEtUBOaaJ9PaTbIUGSkBiAIgiAIglvIsfjNBnA/9KYDwFGAtgANaKJ9PEOMYDa+ADj8wFmAtgANaKJ9wGwowGwcAxx+4CxAW4AGNNE+YDYUYDaOAQ4/cBagLUADmmgfMBsKMBvHAIcfOAvQFqABTbQPmA0FmI1jgMMPnAVoC9CAJtoHzIaCbzY+ureXW3d7fR+eNd6719ute3n7GJ5H1Pf11/xeOlmclL3zXxDU7a4BKyy+3ls3buX76/xOsFQY9l2UvfY9caypMyKI08db98LayzBnMRzh9JvGkPfpzTWYJ0H0y9smfSbr+3iTv8YrNJ7uywhvrnwuW9e+DD9pJXsGPDx8TbSYt4Mxw3P9OLi82VgR3/vNBiXdl5c+8WoRjBfda/faX5pSQLVselcmOrbPynoxvrz1NQaIsutAbno9YPOZp/XrNVEdf39FrhgCLvtaV8ePk5rb6jjNGC/sud8shnLtxWxNg2fz7EH98H4nZH1m66t1zTgFebsRdu3ZnmXzXA+prYU9A54C7kXWYN6256UH1XXP9WPh2mZjXXzvNhskEBIHJccoN5qkXT4V8slUoZb2WZkBJf3IJbcLsenl0C8dJlqnDl6wL2L/1tSZYS9XPS7b7zVxGtb2ll50SQyDRGPnSWOv1IHoM1kfPYWaztsVeGtfs2cjdibZKGnZPQOeBZ4mmsvbbq7YcK4vjmubDQ0nvj3uNBtMDElyNKKlukqFU52sTIPqCoFfA3LTKTDxga/QlxshOsz8/Zo6M7x9HpNSAY/NYpzmMcL4EZIYRu3Me5ao6JOR+XTEoNuG6xvmP/an5xi3IwRrX9yzGdH7JcBsABpWE6TPlvJ2cF42nOur46HMholvxX1mQwjVdzMELTpK1JEwszKB4qS9i7R9GGGV4NgLbcbXmo35wp3Ll+IU/VnAi+Hwjsay864w/Q37N9UvfTAtJn1G69Mo9VhSztpFa1/as2yeawGzAWi4+aahvM3riTZL5/qB8DBmw4nviLvMhhaTK64e5j2JKBJmVjagJvrrii4S1nSBmUhtNRvj3qypM8PEyRxumsfQ31IM2cVs+u2xJobUzvvUZfpT4xG8MQmiz2x9BiwpL+1LtPYV2h4h5rkBMBuAhtaE1kKmQfF+6cwvaNs980vnZeW5vjoewWws5fQ7zEZNsOMnu5n207krWiEidilmZT2oL3sZXwu5sLwLj96tNBti/9bUmeEmB9V4qhPGqf7X6qLnUH99DNkFz2D0RJe/Wo+pM2HuM12fwZp27/naF7Qt4a99CTAbgIbUBOnK0eeX5O2FXLHpXF8bVzcbfnwl9psNEpcRaBWyHtMKRCVZIdSkrHyitIfiahCbTmsSG+ZdMvRuhdkoMeFt19SZYeKUfYLP4qQg+s1iqPaiXOpOn5Ge5BjDvLM+F9b3wYYoh2lVOwk51wVtr1j7EmA2AA2hiXL+283b3nlxz/WD4dJmY2V8d5uNkny1Ont4791EVybY1y1UE43KykEZ3890ptE09KaXiyVdT2w2eDt7Oa2pM8ONk9pzMbcshgyi34UYyr3w+3TnWfbI9kdI+wzXp/ZO71u2LwxmrsmerVn7EmA2AA2uCdJBy3nbjhmf60fCpc3GyvjuNhvAflxaWEDTgLYADWiifTxDjGA2vgA4/MBZgLYADWiifcBsKMBsHAMcfuAsQFuABjTRPmA2FGA2jgEOP3AWoC1AA5poHzAbCjAbxwCHHzgL0BagAU20D5gNBZiNY4DDD5wFaAvQgCbax1OaDTIUGakBCIIgCILgFnLgm41PgN50ADgK0BagAU20j2eIEczGFwCHHzgL0BagAU20D5gNBZiNY4DDD5wFaAvQgCbaB8yGAszGMcDhB84CtAVoQBPtA2ZDAWbjGODwA2cB2gI0oIn2AbOhALNxDHD4gbMAbQEa0ET7gNlQ8M3G8OuY4c/x1V/ty3+lU/9scFImfmHumj83bIXl/7Jh9AuN88+P2191nas7v/ga/pJoECPxK476V/ySGB3S7v4+9a/pjpzbft5cKrIyQi2/59dZ/aR1f7/AdeFrorW8nWhUtN33a8it4/pmg8fej9H9ZoMS78tLn3z1AONl99q9mp8NrmXTuyKmsX1W1i+I/9S3KLsO5KbXIM1nntY/rMldX92fWp/+zA5uuQTHZ15vwHBo5VhRjNS8tsToqHZTrPf2qVD256vmslxGzzYO2yC1dVy/wHXhXmTN5O0FjVJd3vZBcW2zQTGcdRR9SL7bbNCnRxIIDeD0X0BlQkQi6ROq4Er7rMyAEr/nktuG2PRy6KPDpC42grkw5frnvQ72zexvhYlRGZvXY3udxmhnO5NU+Nr2zkVCaPSz57JynjYO2xAlrXv7Ba4LTxMt5m2rUX7uHhvXNhsKgUG802wwMSQO1IiI6ioVTnWyMg2qKwR+DchNp4OXH3i+H+WvBqZnexjnvYoOu//e2+MxIRXwuCzEaFc7KjMX/DzPvXOZoPv/7LlkZQzu3DcAZgPQsJpgecNofYbRzAH6LqC6Tt429cnA9HN769+Pf43yqBp+JLMRxf0+syGE6rtVgh5cXpgVY52sTKA46fiSbhlGWOXw1a8SzXLEJwZtFFjSKI9Ud3zWdUf47709LrEYDjk/6Esx2tVOx3PYk/F571wq7Jo/ey7r5um/2wKYDUDDzTcN5m1TX5272taf69VxebMxxFXES+Eus6HF4YqrhyuiSJhZ2YCa7K8rukhYdV19wMT62UVZAmq/qhwvPbknmdmwe2diZA42+wYmi9HedvVhXkv5RDP0c0+fBLNvPT57Lmvm2cN7twUwG4CG1oTWQqQN8/5OfS/lbXe8yRRVRHO9Oi5vNhgoRjpuhDvMRk2yU0KeuOLrMSMidjFmZT3KQpSor4ZcWOzyGjB+arCfHnzjUBGYDecAE3SM7FisThKjve0saB+qlu7tU6+t4LPnsnI8d64bALMBaEhNtJu3zXhk7EWfTp0HwSOZjT5KvcbsvbTfbJC4jEDtRUmwAlGJVgg1KfM+oV4QYtNpTWLDnEANn6bpX4/LANJebTAbJWZ+ffegi7o8tksx2tFOQcznrj6d/Sz47LmsG+/eZAqzAWgITZDuGs3b0Xjx2XscXNpsUFyYeMoHMie37TYbJAzPqXrv3URXhBO46qisHJTx/UxnGk1Db3oJTrqeeuhsAOl9dPiGNqxfTwAj3Bip/RbzyuK3q52c72FzKWXq3YgvmUtQNsCNwwbAbAAaXBNefiZ4713N7NH3yrzta7QaoajNo+DSZqOHvMP83LbbbAD7cXVhAe0C2gI0oIn28Qwxgtn4AuDwA2cB2gI0oIn2AbOhALNxDHD4gbMAbQEa0ET7gNlQgNk4Bjj8wFmAtgANaKJ9wGwowGwcAxx+4CxAW4AGNNE+YDYUYDaOAQ4/cBagLUADmmgfT2k2yFBkpAYgCIIgCIJbyLH4zcbvv/8O3knadO89CN5LaAvUhCba5zPECGbjC4jDD55FaAvUhCbaJ8yGAszGMcThB88itAVqQhPtE2ZDAWbjGOLwg2cR2gI1oYn2CbOhALNxDHH4wbMIbYGa0ET7hNlQgNk4hjj84FmEtkBNaKJ9wmwo+GbjV/fj2627ff/plBF/dt9vt+7bj1/u+/orcd+6H7/2lH3vfk7vr0MrLL6mW/f9Z33/83v/7Ozrrx/futu3H92vce+dtlNcWFm8X0GMfv3ovrH2c9/EOEZlfqydXcOe8YhBu5/f2XhaL8Q1461rZ9Y2UMxVzIfvOd8zFYvFNayjn7SC9YNPQV8TDeXtg7R/ZT6G2cjzzP1mgxL2t2990tYX2XjZfe++95emnEAtm94VsY3tl8rmcaLLuHVKYdUASZMwrFGsnZeP9enP7HCWy3N85vUGDodajhXFSM1rdYxqXGRfI+8bL2xXjNeOdnq8qZ+snWLZcxYj0Q8n9Sn3aNZutoZtlNrasA7wYeleZM3k7eO0f2Ve22ysyzN3mw36pEedk4DExcZoLh+doIfJlvZZ2fRuYJjY26YQVjn00RrUhUgU+0N7Iz8JzHsd7JvZ30oTozI2r0fPw1gLMcq0MHLTeNM7r53mynZGO3YviUvjybX6fbhMteuvYQ2jpLW8b+Cj0tNEu3l7v/avzGubjZlZnrnTbLDkmgjITIDqqm8kpjpZGXuXvW+dUlh0uPIDz/ejfI0/PdvLbd6T6LD77729HBNSeeZxSWNU+5+/FuUJyKs/vwvHY/TaCVI7Z0zTjuoZs7FuXybqPijh9s8/+jbj+qO2i/0G+7ZEmA1Q02qC5Q1zDma6ZyY691kZe5e9L7xD+1cmzIaCMRtCqLEj1ROQF6ask5WV5+KgayKPLujWaYRVDlhwMYtPDPpCZEljqjs++5fnlku1xGLYa35xLsaIsdR1ktmW8TijcQoHbXi6MO103SEGa/al0tlH3YeIx/hc1+bNkdcJyxcIswFquvmmxbx9p/avTJgNBW02dMfRQOY9iT0SZlbG3o3vI1feMiNhTZetWD+71Mph5IaklpU2hTxpZGbDJhezx2UsXo99A7MhRlEy2zTeWKdnNE7dOzvOSLfdYA4Kex39+L5iniNNLHqKJF4Ztaf3uu7SGtYQZgPU1JrQWsg0Kt6fmLeP0P6VCbOhIM1GvQzmi26k/XTuilaIjV2MWdn0bmTsyltmLix7yY6fGsb/znV94zCXOfvmXIhEHSM7FqtzQIw2jbfinW6r6bWTpHmu0G72ngyI2tt4XLkva9awhjAboKbURM0vLeXto7R/ZcJsKAizQeIyAq1C1gKzE1BCFEJNyiiZM1GWC0ol9ytQCEutSR/EqU7/jv71uLy0aa/sRT6XqViUmPn1TYyGMee6PLZ5/H6x/ksicWK0bbyZfjubKDWtBteV+++dGBXWfZnq8zXRnyPtrlzDGsJsgJpCE63l7QO1f2XCbChws0Gdem7Ue+9OoIiMHDVRiS0pK0KN2l2EWlhyTfbQjwfZXtr03jcPUxvWr20/041RSUxzezGvMEZq3GDMzeMNNO1Um6itHU/O08xlYKzdSHs1cXvzCLW7cg1rCLMBanJNkA6aytsHav/KhNlQMP9AFNzFRxEW2B6hLVATmmifzxAjmI0vIA4/eBahLVATmmifMBsKMBvHEIcfPIvQFqgJTbRPmA0FmI1jiMMPnkVoC9SEJtonzIYCzMYxxOEHzyK0BWpCE+0TZkMBZuMY4vCDZxHaAjWhifb5lGaDDEVGagCCIAiCILiFHIvfbAD3Q286ABwFaAvQgCbaxzPECGbjC4DDD5wFaAvQgCbaB8yGAszGMcDhB84CtAVoQBPtA2ZDAWbjGODwA2cB2gI0oIn2AbOhALNxDHD4gbMAbQEa0ET7gNlQgNk4Bjj8wFmAtgANaKJ9wGwo+Gbjo3t7uXW31/fhWeO9e73dupe3j+F5RH1ff+XvpZPFa8te+6frwQqLr+nWjVv5/to/O/v68fbS3V7e+p0f9t5pO8WFlcX7ZWNUxhBtK+f+sxgRbJ8zorJ7+iQ45e+vQ39b+/TnsrgvH2/di/N+eT9HLK0xh5+07usTuDZ8TTSUtxfP6OPj8mZjRQzvNxuUXF9e+gSrL7LxsnvtXvtLU4q2lk3vykTH9ktl8zjRZdw65KbXQzgvg61RrH1E3Z9an/7MAlsuuvGZ1xswCEKOFcVIofS9NkZ53LOy7X3OGC/0ubzf22LKBmycpz8XBbEvKpar282wa9gGqa11+wY8NtyLrJm8nZ3R58G1zca6GN5tNig5ksBIQOJiY6AyIVqTaKtQS/usTIMWxRd5EYhNL4c+WoM2Ij3E/tDeSBc573Wwb2Z/K0yMFER8V8Yo63OTJhjCPod9fEvXQftpXffeuRDEvpT+eTt/PIJsN2DVGnJESSvcN+Dh4Wmi3bwdn5lHxrXNhoYfwzvNBglq6DQRkBEt1VUqnOpkZQrR+9YhN50Ckx94vh/lk+/0zPZ/wLwn0WH336d7qWO7MkZZn6bsrj7nNWVjljFEQqzYO5dST2l+TOIFTj8FTrvVa1gAzAagYTXB8oarxYpN5yIrU0i1SP04Z/TR8VBmI4jhfWZDCDX/FMfFJS/MirFOVlZQHDR9zRdf0K3DCKsEp351aZYkPjFoo8CSRnmkuuOzrjvCfx8nAFt/MUYD4j5t2T198nfhmINu7H7snYu/j6XtoE//r0OW9z9cwwrAbAAabr5pMW8nZ/TR8TBmI4nhXWZDizFKaOY9iT0SZlamQO8jV94yImFNF5VYP7ucSiC5Iall8+XGk4Z/qdX3NrlEe2zH7LEyRmGfPUzZ3j5F4vTb1H31Eyph11y8fSnv+DjOt1bRfi6sYS1gNgANrQmthUgb5n12LlaeXwK913l76Yw+Oh7BbCzF8A6zURPpfNGNVIm0hytaITZ2MWZlBrErbxm5sOwFNX5qGP87wzcOFcG+mf2tyBKDeb8yRlGfhE2aYJDtah2rwZ5DX1RfJ0GNPXPx1mbjY+vZdstr2AKYDUBDaqK9vE3jLJ3RR8fVzcaaGO43GyQuI1B7URKiBDvVE0JNyuhTIeu8JPcdCfmrITZdranuoTIQwydm+tfj8r6gvdpgNkrM/Pr+ZeTMpSCL3wy/z4ptmpiR9UkQ5d63CA62zyXYlyFO83t9HqL9lFhaYwaYDUBDaKLkgIby9soz+ui4tNlYGcPdZoOE6DkZ772b6MoEyVET1USTsiLUqN1FoDddrske+r5GOcj28qX30eU1tGH92vYz4hgFe5zFb4Db54DNmhiQ9UkQ5SWxjv3N1Pu7eS7ZvqgxxVhZO4alNWaA2QA0uCZIB03l7ZVn9NFxabOxMoa7zQawH5cWFtA0oC1AA5poH88QI5iNLwAOP3AWoC1AA5poHzAbCjAbxwCHHzgL0BagAU20D5gNBZiNY4DDD5wFaAvQgCbaB8yGAszGMcDhB84CtAVoQBPtA2ZDAWbjGODwA2cB2gI0oIn28ZRmgwxFRmoAgiAIgiC4hRz4ZuMToDcdAI4CtAVoQBPt4xliBLPxBcDhB84CtAVoQBPtA2ZDAWbjGODwA2cB2gI0oIn2AbOhALNxDHD4gbMAbQEa0ET7gNlQgNk4Bjj8wFmAtgANaKJ9wGwowGwcAxx+4CxAW4AGNNE+YDYUfLMx/Lpo+DN99eeL7S9O1vf1F+L0L5euLVv+Bc0WYYXF1zT/Wl70C43zTzTbX3adqzu/+hruVxAj8SuO+lf8khhl7cQvBM7t9C/fjpzbZnFf0kSwvmAuBdkaVu9LNk+t6xHBXFfCT1r39QlcG74mWsrbSVl2Rh8I1zcbWXwr7jcblHhfXvrkqwcYL7vX7tX8VHEtm94VQY3tl8rmcaLLuHXITa9BmpfB1ijWPqLuT61Pf2YHsFyC4zOvN2A4uHKsKEZqXqtjlLXry/jP3LvrG1DWwseb68m4L5Ul6wvnsrCGdF/yufh7NmM0XXKu6yG1la0feBa4F1kzeTsr25AvLo5rm40shjPuNhuUHElgNIDTfwGVCdGKi4RQhVraZ2UaJD4uxotAbHo59NEa1MVGMJewdPvzXgf7Zva3wsSojM3r0fMwVhqjpJ1BXJbpKY17UGbXp8Hnkq0hK1Pgc1mj60ELb4tzjRElreX1A48KTxPN5u00pydn7eK4ttlQCGJ4p9kgQQ3BT0RiREt1lQqnOlmZQvS+dchNpwOUH3i+H+WT7/TM9n/AvCfRYfffe3s5JqQCHpeFGIXtNKhMJKgB9D5MOHIsjagsa1Og5pKtYe36xJhOPTmnOS6Lc00AswFoWE20m7dTndIYXr54ADyS2YhieJ/ZEEKNXaceXF6YFWOdrKygOGj6mi++oFuHEVY5RLQm5yCJTwzaKLCkUR6p7vjsm4rovSeQEothr/lX+0sxitoJDHFcO7+xPvW3qWyAt74JzlyyNaTrC+aytGfRn7cCZgPQcPNNS3l7xfkd64TlF8flzcaKGN5lNrQYo4Rm3mcuOCtToPfZJ+BWEQlrusTE+tnlWwLKDUktK20KedLIzIZNLmaPy1i8HvsGJotR1m5AXaef4OwaLbK4R2VmfQPcuWRrWLG+EWIuS5pnc47mugYwG4CG1oTWQqQN8/4T8rZXluaLB8HlzQZDFN87zEZNsvNFN9JeFEZ0Krn2cpovxqzMgOZwPRHmwgou5/7F+N8ZvnGoCPbN7G+FjpEdi9VJYpS2G/6syzmMVlxkcffLvH6juWRrWFqfBJtLuGf1v/Yc9XTitASYDUBDaqLmF6u3VvK2LIvO6KPhkcxGFN/9ZoPEZQRahay1YROdEqIQalJGnypZ5yXx70jIXw2x6WpNdQ9VoIZP0/Svx2UAaa+iQ+sc9hIzv76JUfoJfiFGUbtSln1r4YtU75GIe1bG4K8vmMviGpKycC6Z5iXseVkPmA1AQ2ii5ICG8vZSWZovHgeXNhtp3pux22yQED3H6b13E10RUuCqk7KykKjdRaA3Xa7JHvq+RjnINoD03rmcC4Y2rF9PACPcGJXENLcX88riF7VT7015klyyuK/RhFnf0lyytSdl6VyyPWNwY7ESMBuABtcE6aC1vB2WLZ3RB8KlzUaPNTl4t9kA9uPqwgLaBbQFaEAT7eMZYgSz8QXA4QfOArQFaEAT7QNmQwFm4xjg8ANnAdoCNKCJ9gGzoQCzcQxw+IGzAG0BGtBE+4DZUIDZOAY4/MBZgLYADWiifcBsKMBsHAMcfuAsQFuABjTRPp7SbJChyEgNQBAEQRAEt5Bj8ZuN3/+tA+8kbbr3HgTvJbQFakIT7fMZYgSz8QXE4QfPIrQFakIT7RNmQwFm4xji8INnEdoCNaGJ9gmzoQCzcQxx+MGzCG2BmtBE+4TZUIDZOIY4/OBZhLZATWiifcJsKMBsHEMcfvAsQlugJjTRPmE2FHyz8dH9+MOtu/3p3Skjvnffb7fu299+uO/rr8S9dD/+YV3Zr7/lvy7XMxy3XVph8fXeuu9/X9///JO/vrIHf3jrfo1777Sd4sLK6Nf4fqq+Km2MzD4PnPvP4ifriNj/Pf8lx/VxT8v+4a37NpXxOXI6c0nbJeNlaxB9HrS+DTTaSub6CGcJXKZ/kSFvt8THMBuRZirvNxuUXP/w0idYfZGNl91r972/NOUEatn0riTEsX1WVi/gaDFXoRRWDZA0CcN61drn8rE+/Zkd6nLRjc+83sDh4pFjRTFSLH2vi9HIMcHM/fZrLSZpqLM67lmZ2r8tcwnbLYwXrsHpc6q7d33baLQVzvUxzhK4TPciQ95uitc2G5lmZt5tNiiJU+ckJnGxMRqhiYuLWCdb2mdl/XM2zlUohFUOPbsQBNXlRTSXvvwEMe+13De//cylZCD2fSFGU51+XT/Sfml9w/yzPtPxqA9exvoc37lzSdqtWd9E1o4SrIgltbt3fduYJy25N49wlsBleppA3m6L1zYbM41mGO80GyyZmkQ700yA6qqv0aY6Wdkg4OmrOCHu61AKiy6A/MDz/Sif0Kdntv+sPt8r26//3sSIU8c2jRE9z2Ms9jvGcLcm5sRZykzdeC5hu4XxBKkuX4MxG8NeZ31uGW+BadLicx3mdvWzBC7TaoJij7zdEmE2FIzZEEKVn5o49QTkhSnrZGX8HbHUDQ5KyzTCKpdAcAjFJwZ2eU3PbM9L3fFZ1x3pv49FYusvxSj6s2CZ69zvPZoo5VMik+Nlc4naLY03Ua3BPA9xped71reFYdLSc1Msc7jgWQKX6eYb5O2mCLOhoM2G7jgayLzPXHBWxt5VxgelZUbCKoewvxDk+tllXy4Mbkhq2Xxh8r3IzIbds3CPzZg9l+LHEonXb12nmsNeTZT58b7YN0XZXJbaLWjQXQOR2o7x6Mf+8aehzt71sXdr6GkrnKvgNc8SuEytCa2tSGvm/WEahtY0YTYUpNmoyXm+6EbaT+euaIWzZRdjVja9G3lN0ebCYpfe8K5cFv1BHv871/WNw1zm7JvZ38pIJO77MEb1v1YTPYf61J9OSnmfeZndk3HO7+lcfobt+rUuaDBcgyHFcjgPO9cn+1umd7GsnysugEek1ATydouE2VAQZoPEZQRqL0qinYASohBqXvaLCbQkUiHwa1AIiz5hi8vAOYjDp3D61+PygNJebTAbJWZ+fV8kUVLIYiQp+vW+JZm4UxPZNxTleaadS9RuabxoDZJyT3eubyONtpL9foSzBC5TaIK0hbzdHGE2FLjZKIJxPjF5790JlETY1y1U4g/LqqAnN35RwWph1a+553XpQz+t26yX3udmg/eb7Vcco+CyyuLHKPotiY7NZ+C03l2a6Kn6tftXadaYtYvGS9cg9/wYzW+jvVjGPmd6c0Xyf1xyTXj5OXof54RRN2s1DK0tEWZDwfwDUXAXH0VYYHuEtkBNaKJ9PkOMYDa+gDj84FmEtkBNaKJ9wmwowGwcQxx+8CxCW6AmNNE+YTYUYDaOIQ4/eBahLVATmmifMBsKMBvHEIcfPIvQFqgJTbRPmA0FmI1jiMMPnkVoC9SEJtrnU5oNMhQZqQEIgiAIguAWcix+swHcD73pAHAUoC1AA5poH88QI5iNLwAOP3AWoC1AA5poHzAbCjAbxwCHHzgL0BagAU20D5gNBZiNY4DDD5wFaAvQgCbaB8yGAszGMcDhB84CtAVoQBPtA2ZDAWbjGODwA2cB2gI0oIn2AbOh4JuNj+7t5dbdXt+HZ4337vV2617ePobnEfV9/SXAl04Wx2Ufb/IXUuNx24UVFl/vrRuX9P7qr6/swctbv/PD3jttp7iwMvolRn+3bIzMPg+c+18bP29MO17FEe02zOXjrXtZ1W5D2Tv/pVVVtnu89fCTVu17274RonbAleBrAnm7JVzebGR5b8D9ZoMS6MtLn0T15TBedq/da39pStHWsuldmejYPiujx+snP7np9YBKkzCsV629ou5PrU9/ZoEtl9n4zOsNGAQhx4pipFD6XhMjKpPxmhNLNt497fbMRe07tSsGjrDUZ1TW9zn10UOX7RpvG6S2ar/U154z6LcDrgb3IkPebgrXNhtZ3ptxt9kgx0oiIjFNiVTBCE1cXIQq1NI+K+uRjXMViE0vh54FSkAbkR7m0pcuct5ruW8TzP5WLCUDse8LMRIg4TnrWxpvdbu9czH9s73M+twyXl/rdTR/e8fbiChp7d23xTgBzcPTBPJ2W7i22dBgeY/hTrPBEmZwORCMaKmuUt5UJysbBDx/XcPFfR3ITXcMBQOtne9H+Tpyemb7P0Dvle3Xf29ixKFjm8ZIYuv7Eavb7Z2LXhPfl6zPDeOVuqNG9463EavNxsox984DaAdWEyxvGF3O2KSZVE9V61fP22fiocwGacGJ8X1mQwjVdzMELVp5YVaMdbIyjVI3OCgtwwirBCc4hOITgzYKLGmUR6o7Puu6I/z30R579RdjVOZRE4sdv8Idb0e73XMZ3k/vhhjQ8yH61P3vHG8r1pqNtWPunQfQDtx8g7zdFB7GbOg8x3CX2dBiisRl3pPYI2FmZQbxQWkZkbDKIewDJdfPLvsSSG5IallpU8j3IjMbds/CPTZj9tgQI3rvJZY4phWr290zF2o77l3//u112Jc79Vnj6Ohyz3gbsdZsrB1z7zyAdqA1oWMaxXiTZjZp+Jp5+0w8gtkI896AO8xG/fp/Sp4T7adzV7TiImEXY1Zm8Fhmo6LuK1/v+Klh/O8M3zhUBPtm9rdidcIhHBCjOBGNWNnuML1Q2aDdO/RJ89NJ18fK8TZik9lYMeZynIDWITVButM5m4i8/ZW4utlYk/f2mw0SlxFoFfJywlJCFELNyz5YN2WBQuDXgNh0+uZAbJhzEMu3Cy/lX4/LA0p7FR1a57CXmPn1/UslSgpJjNR6ikFyYmTG29vugLkQZL+5BtPxnKTtYf1427DabKwc07YDrgahCYoz8nZzuLTZWJn3dpuNIhitzh7eezdhlQn2dT1XHZZVQU9u/KKC1ZteLsFpvfbQT+s266X3udng/Wb7FccoEFESP7kev7033t52++Yi9+cQfZZEPr6fWeN5x3gbsN5s9FgxptsOuBS4JiieyNvt4dJmI817M3abDWA/Li0soGlAW4AGNNE+niFGMBtfABx+4CxAW4AGNNE+YDYUYDaOAQ4/cBagLUADmmgfMBsKMBvHAIcfOAvQFqABTbQPmA0FmI1jgMMPnAVoC9CAJtoHzIYCzMYxwOEHzgK0BWhAE+3jKc0GGYqM1AAEQRAEQXALOfDNxidAbzoAHAVoC9CAJtrHM8QIZuMLgMMPnAVoC9CAJtoHzIYCzMYxwOEHzgK0BWhAE+0DZkMBZuMY4PADZwHaAjSgifYBs6EAs3EMcPiBswBtARrQRPuA2VCA2TgGOPzAWYC2AA1oon3AbCj4ZmP4RT/nlwQr6s8X21+OrO/rL8TpXy6Ny/QvpMbjtgsrLL7e+dfyyi8xsvcTSwXnV13NL3euqTPCxsns9UC55UF8xS8BqvhmZWIvvF+0DcabkJU7ZeKXKr1f3CUc12em3yO07SYtsd9e/IP1LbYDrgD/IkPebgnXNxs89n6uuN9sUGJ9eemTa3TRvXav5qeKa9n0riS1sX1WRo/eAbgW5KbXIM1nj9av95Lq+PsrzuxwOci+1tXx46RQLlEZJ79dP1/+M9IihllZ7TPTxdI8x6TmldsytfdivBlH9pnp9whtm6RF4y/8pLe7vhXtgGvAvciQt5vCtc0GxV7G2jOTd5sNSlQkIhrA6b/ACE1cWoQq1NI+K+uRjXMViE0vh34pqa80GwTHEOR1ZiwlhGjvl9rV+XvfUhBY2ULsR4TjDXv55pW7ZXpfnXke3Gem36xsLeSBpv2L9n2Au4YV7YDLwLvIkLfbwrXNhkLwQeVOs8GSUvJJyIiW6irlTXWyskHA9Cmskov7OpCbTpfR0kHUFxhBHuYZ/P2aOjNMnDi2xFeD2kax4mVp7Gf4481rsuVx2Zh0C8z4R/dZ2/j6zcrWQ2iLGYmx31VrWGwHXAn2IqO4I2+3hEcyG0Y3A+4zG0KozqfCAXrw8rVtIMysTKPUDQ5KyzDCon1MD+FXm42on4q4XY/yiSdoq8rWxn7pnS7PysqYUxJc325vnxyZfvdqW2hr0NW0pWW/5zMarmGhHXAtuPkGebspXN5sDLlc5A2Fu8yGFlMkLvOexB4JMysziA9Ky4iEVQ4hBcxEa6vZGPdkTZ0Z4T4XIcWfRqJ2dT1+fNyylbE370TyVOVZmblEaZ+H/TqjT4NMv/u0bcyGSurTXDesjyDKgUtB5xsdyyi25j3pIjqfWZnBPm0/Mi5vNhgo7jp/EO4wGzWJlstR0F5KrmjFZNilmJUZXFO0ubDqvsr10ruVZkPs35o6M6LkECeNCq+8CM4PWly2MvZyvFrH6rDny2v3Gpa9de/hp7H3E/r09i/T7z5tC22R8VFxXl5fXz9st3EyQBOQ+abmFxt75O2vxCOZjSi++80GicsItAo5vxwISohCqHnZB+uG+pUCvwbMhSA2zAsUvVthNkpMeNs1dWb4F8pyYjDtyqd7m7wKsjI9XxH7Gf48Z2TloqzMha/N1y/hmD4z/R6jbXmg637Gc5sh17e+HdA+hCbK+Ufebg2XNhuUH5h4or8m2202imC0Ont4761oe5QE1tctVOIPy6qgJzd+UcHqTZ/++mSg3dbYbPB2dj/W1JkRxykyBxWmXUloatyeZV1ZGSHTxQB3ngxZ+dJcHUkXHNNnpt9jtG2TVr1Ixn7Xr29dO6B9cE1QnJG328OlzUYPeYf5eXu32QD24+rCAtoFtAVoQBPt4xliBLPxBcDhB84CtAVoQBPtA2ZDAWbjGODwA2cB2gI0oIn2AbOhALNxDHD4gbMAbQEa0ET7gNlQgNk4Bjj8wFmAtgANaKJ9wGwowGwcAxx+4CxAW4AGNNE+ntJskKHISA1AEARBEAS3kGPxm43ff/8dvJO06d57ELyX0BaoCU20z2eIEczGFxCHHzyL0BaoCU20T5gNBZiNY4jDD55FaAvUhCbaJ8yGAszGMcThB88itAVqQhPtE2ZDAWbjGOLwg2cR2gI1oYn2CbOhALNxDHH4wbMIbYGa0ET7hNlQ8M3Gr+7Ht1t3+/7TKSP+7L7fbt23H7/c9/VX4r51P36tLev58/tQRvze/eRlF6AVFl/vrfv+s77/+b1/dvb1149v3e3bj+7XuPdO2ykurCzeKxujMoZoWzn3n8To14/um9uGuLadE3dnnkQzV7ZnWVk6F6ExWZb2Gawh28/lvV5PP2n5+wY+B31NIG+3xMcwG3meud9sUHL99q1PsFo842X3vfveX5pyArVseldEOLbPyobnctEOzxekFFYNkDQJw3r12qfysT79mR3qctGNz7zewOGwy7GiGCmWvtfESK1HlG1sN8U5nyeZsmjucdnCXLjGRFnWZ7YGRbGfG8oWKLW1Ib7gw9K9yJC3m+K1zca6PHO32aBPZdQ5JWBxsTGa5GySaZ1saZ+VlT87jvliFMIqhz46hNqI9BT7Y/dj3mu+b4xmfyvjC3Qun/pKY0Rz5mX0PMwxa2eSkR9rb55ibophWboGTbaG/jnsc+UaiLvmvIJR0qI+s/iCj0tPE8jbbfHaZmNmlmfuNBtMRIlzNROguurru6lOVkaC7sf40T+PX8dFC2uZUliOoWCktfP9KF+5T8/2EM97zQ87p//exIhTxzaLUf/nMZGZuktxNxf1mnnWev7Xs0nZwhoEqe7UdqHPFWuw9VaWrSDMBqhpNUG6RN5uiTAbCsZsCKHKT3+cegLywpR1srIyXi/UKXkXN309x2yENaxLXpQDxScGfXmxpDHVHZ+Diy54H4vE1k9jNJYPSYUnlrRdmTsbR8da12fvOMsYQfLkZUtrmKjnpSjGW7WGKC5LZesIswFquvkGebspwmwoaLOhO44GMu9JfJkwszJ1kURjtsxIWOXA9odSrp9dQOWQckNSy0qbQn6Ao4uL3tuDHu6jGbNnFiOTSNg3N1k7eqbycS19nH983zDPiXHyFGVLc+lZ4xH1NVKNt7QGbz/XlK0kzAaoqTWhtRBpw7zPzsxS2QPk7TMJs6EgzUa9RKbEOtEmS1e0QnzsYszKKBk/gGhzYbHLeXg3fmqwnx584zCXOWbDOfjEaB/d90mMFj/hRLFl9StpH1ZoyVBd/lHZwlxoHL0On0vjyTVk819e2zJhNkBNqQnSpM7ZROTtryTMhoIwGyQuI9AqZH152AmoS0YIdbls6st8ir4GhbBoDeJScy6vYZ30r8flWmk/ovWrfSSWmPn1fZFEF2kSIxMTrokstpKRaD0t/WLzo3Kul6wsX4NNvpVZn5J2rtF+LpWtJ8wGqCk0UXIA8nZrhNlQ4GajJFnnk5/33p1AEVxf13PVWdlwMEZHrg/IFaiFNf31SbimeljtpUbvo0M7tGH9RpciMY5RcOlmMSoJbR5XrCdsJ+cbCdbOU61TrDEr6xnNRc1/ZF3H+vG272dQtoEwG6Am14SXn6P3cU4YNa70mpU9QN4+kzAbCuYfiIK7+CjCAtsjtAVqQhPt8xliBLPxBcThB88itAVqQhPtE2ZDAWbjGOLwg2cR2gI1oYn2CbOhALNxDHH4wbMIbYGa0ET7hNlQgNk4hjj84FmEtkBNaKJ9wmwowGwcQxx+8CxCW6AmNNE+n9JskKHISA1AEARBEAS3kGPxmw3gfuhNB4CjAG0BGtBE+3iGGMFsfAFw+IGzAG0BGtBE+4DZUIDZOAY4/MBZgLYADWiifcBsKMBsHAMcfuAsQFuABjTRPmA2FGA2jgEOP3AWoC1AA5poHzAbCjAbxwCHHzgL0BagAU20D5gNBd9sfHRvL7fu9vo+PGu8d6+3W/fy9jE8j6jv668AvnSyOCvr8f46lBFf+9rXghUWX++tG7fy/bV/dvb14+2lu7289Ts/7L3TdooLK4v3KojRx1v3wtrLqSzEKOqzYE9ZMp6YZ6Ylb/3BeEJjB+kzneeIaP3r4Cet+/oErg1fE8jbLeHyZiPNlxX3mw1KoC8vfRLV4hkvu9futb80pWhr2fSuTHRsn5X1oOdy0V4XctPrAZUmYVivXntB3Z9an/7MAlsus/GZ1xswCEKOFcVIzWt1jLI+7yvzx3PmOemD2s37J81bNl7fJ9fY6rX3EONzZPOcUYxkX0/OZz2ktrI1As8C9yJD3m4K1zYbWb6ccbfZoORIAqNEPl9iElQmRFsuRT6ZKtTSPisrf/Zd05UgNr0c+ugQqguKIPbH7se813zfGMz+VpgYlbF5PXoexkpjNMP2OWNTWTaeSWKJRoKEl82lYu3at4zt1KW++zpvi/OJESWt5TUCjwpPE8jbbeHaZkOD5UuGO80GE1HiXI1oqa5S+FQnK2PJePzKRvR7EchNdwwFA62d70f55Ds920M87zU/7Bz+exOjHmNCKuBxyWLE4L0bsalsSS/mEvf3Mxozm0sBjTEm0mwumT4X5zk/L84nAcwGoGE1QVpD3m4JD2U2SAvCeFbcZzaEUH03Q9CilRdmxVgnK6uLYAm6uGl/zJZhhDWsywtQXeP43rug2PrFfui6I/z3OkaEEoshOfAEkcaIwXs3YktZOl5ZM1uPq5E6f73mEdlcdP+79bkwTz6HdD4LgNkANNx8g7zdFB7GbOg8x3CX2dBijBKaeU/iy4SZlSkXHo3ZMiJhlQPbB0qun5mDEkj7VWVpU8gPcGY27EE3+2gSAvsGJosRQxabTWVL41H5uAflE1ScPL1PcdFcajxUX/foM5qnahfNZw1gNgANrQmthUgb5v2S9veeC+AhzIabLxnuMBv18pmS50T76dwVrRAfuxizMroAH0C0ubDsX6uMnxrspwffOFQEZsM5+AS9j3YsVieLEUMWm01lK8eroP1zviEq8D/FeXOhd3r9BYfpc5xnbW/PUU8nTkuA2QA0pCaQt1vE1c1GmC8Z9psNEpcRqL0oCVZY6rIQQl0um/oyn76vAbHptAaxYc6FOKyT/vW4XCvtxwazUWLm1zcxMnvLY5vFaEaWULaVrRuPINqqvS0Gas08y9ojw5LNpZaJ8dfuN0NWtgSYDUBDaKLkAOTt1nBps5Hmyxm7zQYJ0XMy3ns30ZUJBq46KxsOxujInSk0D73p9eunbE31sNqLkt7nZoP36120I9wYlcQ0txfzSmNU4fY5YHNZOJ5cp24n93blPNW6R07r36XPfJ4c2d4sAWYD0OCaIB0gb7eHS5uNpXw5YLfZAPbj0sICmga0BWhAE+3jGWIEs/EFwOEHzgK0BWhAE+0DZkMBZuMY4PADZwHaAjSgifYBs6EAs3EMcPiBswBtARrQRPuA2VCA2TgGOPzAWYC2AA1oon3AbCjAbBwDHH7gLEBbgAY00T6e0myQochIDUAQBEEQBLeQ4/Y//vf/6yKS2bj9u/8O3km96QBwFKAtQAOaaB/PECOYjS8gDj9wFqAtQAOaaB8wG4owG8cQhx84C9AWoAFNtA+YDUWYjWOIww+cBWgL0IAm2gfMhiLMxjHE4QfOArQFaEAT7QNmQxFm4xji8ANnAdoCNKCJ9vGUZoN+rc0zGkTfbPzP7u2f+5b/+L+cMuL/Kr/+9/Ff/qf7vuL/dm9va8t6/vn/DGWE/9O98rIL0ArL/0XE6Bca559Kt7/sOld3fvU1+NXTcXz3V0HFL/rx9nzO0S/POv2K/uZ2+pdvR07rCdoVZGUFwfrSdtn64jKzDhE/3k7GIm+3Hn7SCtYPPAV8TQz5IdRZpJl956IgzCXA9c1GnNtGuGaDuNpsvP1L9/HP/7eXrr70BxPSv3//x17awmzUsuldMQ9j+6xseP7nf+lexucLUm56DZI0CUOwyuHUgatJotanP7NDXX7ieXzm9QYMh12OVcXx6v2cNNV3f5a+tpvqu/Ok6dQLdO63XyvvL2hXUNYylmXtsrJsfcvt/PXla49/yp3ayXo80cfttkFqK1s/8CxwLzI6X33umM/YiEwz+89FeXZzCUC4ttnIc9uI0GwQ15iNl//SG43eGLz2huL9z7JsJJUJs0EGRZiTajBK+6ys/Nn5puNiFJteDn10CLUR6SEuYQqy/AQxX1r18JuYi/Yz7GVn+55g+nDGGtb1ll5ytD5/DJqPo9cBcbuobPkyZ+2y9S2sPZ83g0q+q9stIEpay+sHHhWeJuiDAOkh053RzO5zQX+OzitAuLbZUAiMZWo2iLnZYJd/8o2DMRtUV/21y1QnKyvfovxL99Y/jxD9XoRy0x1DwUAHnrvE8m3B9GwP8Zwg5CU4w3/vJpbBLIxamMpJTKoD2X4ew/TLoT/9jFj6FBS1IwRl6TwIvB39OVpfVjase9yvcI49vP1a024JMBuAhtUE6W3IG6Tn4KwZzew9F1kuAQoeyWxEuWbRbBBDsyEMBv07C/9bB2026NuQyFBkZWW8HtM3KOVbkOt902GERQe17LVzyYhPDNoosKRRHqnu+KzrjvDfu4mln9NUj/UtDU8Fbx/9WaD0t35+E8J2PZKycB4E1S5b39LaOUpdnsiHccS+OjDtNgBmA9Bw882kr/zbRa6Z3eciySVAxeXNxorctmg2sm82tInQz+H7vd9sCHOjyti71hkJqxxY2ncRLXb5loByQ1LLSptCfoAzs2EPurmMREKqEMlDdSzKWDvTb4+6ziDZmDXOyNqlffbw5kFw2y2tLyozyBN5bCjidkuA2QA0tCa0FiJtmPd7z4XKCYRozGfF5c0GA8XWy22p2eBGw5oN/n+McOh/KPrffbMhTAP7dxlZ2fDXKI9qNirsX6uUC7F/Mf53hm8cKgKz4Rx8gjn8dOlHCcL0MY5V/8s1NHGoX4RoJjUjSkJZu6U+CV6/Ybtwff0fszKDzDTsLcsBswFoSE3U/GLPqDX4RjN7z0WWS4CCRzIbVWM2f4VmQxsNYzbIFBhjUQ3I9NccA60h4P/os6cwGMtlU1+P8NcodBDFTeUEqnzaf+kPrA4gHejoUnIuQUoIwSVmD39tP70b5lAfVd8m0cwQ/ZY+/G8tKoJLNmu32GeFWV/aLltfXvbBhqAxpzIajwWjGMc17TYCZgPQEJooOUDrvhoQkSt6WM3sPxdU5ucSgHBps5Hmthmu2fCMBpGbDTIQ+q87ovfutw/FKIxQpiUrU9+oaGNzBepNr1/lj58w7KHva5TDagNI73OzwfvNLjD/MpKfgsS8SsIYy+LLXvRbEt3c38ip38gAZO2W+hxg1rdqLuN7NaewTO252m8Z5/XttgBmA9DgmiAdeN/mee9dzew6F4QklwDXNhs94tw2w5gNz2SMNP9AFNzFqwsLaBfQFqABTbSPZ4gRzMYXEIcfOAvQFqABTbQPmA1FmI1jiMMPnAVoC9CAJtoHzIYizMYxxOEHzgK0BWhAE+0DZkMRZuMY4vADZwHaAjSgifYBs6EIs3EMcfiBswBtARrQRPt4SrNBhiIjNQBBEARBENxCjtvwXxdkNn7/tw68k7Tp3nsQvJfQFqgJTbTPZ4gRzMYXEIcfPIvQFqgJTbTP5zMbXff/AZOqyQ/voyxxAAAAAElFTkSuQmCC" alt="" />

 

二十一、拼接 操作时间+随机6位数

concat(DATE_FORMAT(operateTime,'%Y%m%d'),CEILING(RAND()*90000+100000))

结果：20190508123456