说明：
QueryWrapper(LambdaQueryWrapper) 和 UpdateWrapper(LambdaUpdateWrapper) 的父类，用于生成sql的where条件，entity属性也用于生成sql的where条件
注意：entity生成的where条件与使用各个api生成的where条件没有任何关联行为

#allEq

allEq(<R,V> params)
allEq(Map<R, V> params, boolean null2IsNull)
allEq(boolean condition, Map<R, V> params, boolean null2IsNull)
全部eq(或个别isNull)
个别参数说明:
params : key为数据库字段名,value为字段值
null2IsNull : 为true则在map的value为null时调用 isNull 方法,为false时则忽略value为null的
例1: allEq({id:1,name:"老王",age:null})--->id = 1 and name = '老王' and age is null
例2: allEq({id:1,name:"老王",age:null}, false)--->id = 1 and name = '老王'

#eq

eq(R column,Object val)
eq(boolean condition,R column,Object val)
    等于 =
    例： eq("name","老王")----> name ='老王'

#ne

ne(R column, Object val)
ne(boolean condition, R column, Object val)
不等于 <>
例: ne("name", "老王")--->name <> '老王'

#gt

gt(R column, Object val)
gt(boolean condition, R column, Object val)
大于 >
例: gt("age", 18)--->age > 18

• 
  

  #ge

ge(R column, Object val)
ge(boolean condition, R column, Object val)

• 大于等于 >=
• 例: ge("age", 18)—->age >= 18

  #lt

lt(R column, Object val)
lt(boolean condition, R column, Object val)

• 小于 <
• 例: lt("age", 18)—->age < 18

  #le

le(R column, Object val)
le(boolean condition, R column, Object val)

• 小于等于 <=
• 例: le("age", 18)—->age <= 18

  #between

between(R column, Object val1, Object val2)
between(boolean condition, R column, Object val1, Object val2)

• BETWEEN 值1 AND 值2
• 例: between("age", 18, 30)—->age between 18 and 30

  #notBetween

notBetween(R column, Object val1, Object val2)
notBetween(boolean condition, R column, Object val1, Object val2)

• NOT BETWEEN 值1 AND 值2
• 例: notBetween("age", 18, 30)—->age not between 18 and 30

  #like

like(R column, Object val)
like(boolean condition, R column, Object val)

• LIKE ‘%值%’
• 例: like("name", "王")—->name like '%王%'

  #notLike

notLike(R column, Object val)
notLike(boolean condition, R column, Object val)

• NOT LIKE ‘%值%’
• 例: notLike("name", "王")—->name not like '%王%'

  #likeLeft

likeLeft(R column, Object val)
likeLeft(boolean condition, R column, Object val)

• LIKE ‘%值’
• 例: likeLeft("name", "王")—->name like '%王'

  #likeRight

likeRight(R column, Object val)
likeRight(boolean condition, R column, Object val)

• LIKE ‘值%’
• 例: likeRight("name", "王")—->name like '王%'

  #isNull

isNull(R column)
isNull(boolean condition, R column)

• 字段 IS NULL
• 例: isNull("name")—->name is null

  #isNotNull

isNotNull(R column)
isNotNull(boolean condition, R column)

• 字段 IS NOT NULL
• 例: isNotNull("name")—->name is not null

  #in

in(R column, Collection<?> value)
in(boolean condition, R column, Collection<?> value)

• 字段 IN (value.get(0), value.get(1), …)
• 例: in("age",{1,2,3})—->age in (1,2,3)

in(R column, Object... values)
in(boolean condition, R column, Object... values)

• 字段 IN (v0, v1, …)
• 例: in("age", 1, 2, 3)—->age in (1,2,3)

  #notIn

notIn(R column, Collection<?> value)
notIn(boolean condition, R column, Collection<?> value)

• 字段 NOT IN (value.get(0), value.get(1), …)
• 例: notIn("age",{1,2,3})—->age not in (1,2,3)

notIn(R column, Object... values)
notIn(boolean condition, R column, Object... values)

• 字段 NOT IN (v0, v1, …)
• 例: notIn("age", 1, 2, 3)—->age not in (1,2,3)

  #inSql

inSql(R column, String inValue)
inSql(boolean condition, R column, String inValue)

• 字段 IN ( sql语句 )
• 例: inSql("age", "1,2,3,4,5,6")—->age in (1,2,3,4,5,6)
• 例: inSql("id", "select id from table where id < 3")—->id in (select id from table where id < 3)

  #notInSql

notInSql(R column, String inValue)
notInSql(boolean condition, R column, String inValue)

• 字段 NOT IN ( sql语句 )
• 例: notInSql("age", "1,2,3,4,5,6")—->age not in (1,2,3,4,5,6)
• 例: notInSql("id", "select id from table where id < 3")—->id not in (select id from table where id < 3)

  #groupBy

groupBy(R... columns)
groupBy(boolean condition, R... columns)

• 分组：GROUP BY 字段, …
• 例: groupBy("id", "name")—->group by id,name

  #orderByAsc

orderByAsc(R... columns)
orderByAsc(boolean condition, R... columns)

• 排序：ORDER BY 字段, … ASC
• 例: orderByAsc("id", "name")—->order by id ASC,name ASC

  #orderByDesc

orderByDesc(R... columns)
orderByDesc(boolean condition, R... columns)

• 排序：ORDER BY 字段, … DESC
• 例: orderByDesc("id", "name")—->order by id DESC,name DESC

  #orderBy

orderBy(boolean condition, boolean isAsc, R... columns)

• 排序：ORDER BY 字段, …
• 例: orderBy(true, true, "id", "name")—->order by id ASC,name ASC

  #having

having(String sqlHaving, Object... params)
having(boolean condition, String sqlHaving, Object... params)

• HAVING ( sql语句 )
• 例: having("sum(age) > 10")—->having sum(age) > 10
• 例: having("sum(age) > {0}", 11)—->having sum(age) > 11

  #func

func(Consumer<Children> consumer)
func(boolean condition, Consumer<Children> consumer)

• func 方法(主要方便在出现if…else下调用不同方法能不断链)
• 例: func(i -> if(true) {i.eq("id", 1)} else {i.ne("id", 1)})

  #or

or()
or(boolean condition)

• 拼接 OR

注意事项:
主动调用or表示紧接着下一个方法不是用and连接!(不调用or则默认为使用and连接)

• 例: eq("id",1).or().eq("name","老王")—->id = 1 or name = '老王'

or(Consumer<Param> consumer)
or(boolean condition, Consumer<Param> consumer)

• OR 嵌套
• 例: or(i -> i.eq("name", "李白").ne("status", "活着"))—->or (name = '李白' and status <> '活着')

  #and

and(Consumer<Param> consumer)
and(boolean condition, Consumer<Param> consumer)

• AND 嵌套
• 例: and(i -> i.eq("name", "李白").ne("status", "活着"))—->and (name = '李白' and status <> '活着')

  #nested

nested(Consumer<Param> consumer)
nested(boolean condition, Consumer<Param> consumer)

• 正常嵌套 不带 AND 或者 OR
• 例: nested(i -> i.eq("name", "李白").ne("status", "活着"))—->(name = '李白' and status <> '活着')

  #apply

apply(String applySql, Object... params)
apply(boolean condition, String applySql, Object... params)

• 拼接 sql

注意事项:
该方法可用于数据库函数 动态入参的params对应前面applySql内部的{index}部分.这样是不会有sql注入风险的,反之会有!

• 例: apply("id = 1")—->id = 1
• 例: apply("date_format(dateColumn,'%Y-%m-%d') = '2008-08-08'")—->date_format(dateColumn,'%Y-%m-%d') = '2008-08-08'")
• 例: apply("date_format(dateColumn,'%Y-%m-%d') = {0}", "2008-08-08")—->date_format(dateColumn,'%Y-%m-%d') = '2008-08-08'")

  #last

last(String lastSql)
last(boolean condition, String lastSql)

• 无视优化规则直接拼接到 sql 的最后

注意事项:
只能调用一次,多次调用以最后一次为准 有sql注入的风险,请谨慎使用

• 例: last("limit 1")

  #exists

exists(String existsSql)
exists(boolean condition, String existsSql)

• 拼接 EXISTS ( sql语句 )
• 例: exists("select id from table where age = 1")—->exists (select id from table where age = 1)

  #notExists

notExists(String notExistsSql)
notExists(boolean condition, String notExistsSql)

• 拼接 NOT EXISTS ( sql语句 )
• 例: notExists("select id from table where age = 1")—->not exists (select id from table where age = 1)

  #QueryWrapper

  说明:
  继承自 AbstractWrapper ,自身的内部属性 entity 也用于生成 where 条件
  及 LambdaQueryWrapper, 可以通过 new QueryWrapper().lambda() 方法获取

  #select

select(String... sqlSelect)
select(Predicate<TableFieldInfo> predicate)
select(Class<T> entityClass, Predicate<TableFieldInfo> predicate)

• 设置查询字段

说明:
以上方法分为两类.
第二类方法为:过滤查询字段(主键除外),入参不包含 class 的调用前需要wrapper内的entity属性有值! 这两类方法重复调用以最后一次为准

• 例: select("id", "name", "age")
• 例: select(i -> i.getProperty().startsWith("test"))

  #UpdateWrapper

  说明:
  继承自 AbstractWrapper ,自身的内部属性 entity 也用于生成 where 条件
  及 LambdaUpdateWrapper, 可以通过 new UpdateWrapper().lambda() 方法获取!

  #set

set(String column, Object val)
set(boolean condition, String column, Object val)

• SQL SET 字段
• 例: set("name", "老李头")
• 例: set("name", "")—->数据库字段值变为空字符串

• 例: set("name", null)—->数据库字段值变为null

  #setSql

  setSql(String sql)
  

• 设置 SET 部分 SQL

• 例: setSql("name = '老李头'")

  #lambda

• 获取 LambdaWrapper
  在QueryWrapper中是获取LambdaQueryWrapper
  在UpdateWrapper中是获取LambdaUpdateWrapper

  #使用 Wrapper 自定义SQL

  注意事项:
  需要mybatis-plus版本 >= 3.0.7 param 参数名要么叫ew,要么加上注解@Param(Constants.WRAPPER) 使用${ew.customSqlSegment} 不支持 Wrapper 内的entity生成where语句

  #用注解

  @Select("select * from mysql_data ${ew.customSqlSegment}")
  List<MysqlData> getAll(@Param(Constants.WRAPPER) Wrapper wrapper);
  

  #用XML

  List<MysqlData> getAll(Wrapper ew);
  

  <select id="getAll" resultType="MysqlData">
    SELECT * FROM mysql_data ${ew.customSqlSegment}
  </select>
  

  #kotlin使用wrapper

  kotlin 可以使用 QueryWrapper 和 UpdateWrapper 但无法使用 LambdaQueryWrapper 和 LambdaUpdateWrapper 如果想使用 lambda 方式的 wrapper 请使用 KtQueryWrapper 和 KtUpdateWrapper