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
Wrapper : 条件构造抽象类,最顶端父类,抽象类中提供4个方法西面贴源码展示
AbstractWrapper : 用于查询条件封装,生成 sql 的 where 条件
AbstractLambdaWrapper : Lambda 语法使用 Wrapper统一处理解析 lambda 获取 column。
LambdaQueryWrapper :看名称也能明白就是用于Lambda语法使用的查询Wrapper
LambdaUpdateWrapper : Lambda 更新封装Wrapper
QueryWrapper : Entity 对象封装操作类,不是用lambda语法
UpdateWrapper : Update 条件封装,用于Entity对象更新操作
allEq(Map params)
allEq(Map params, boolean null2IsNull)
allEq(boolean condition, Map params, boolean null2IsNull)
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
allEq({id:1,name:"老王",age:null})
--->id = 1 and name = '老王' and age is null
allEq({id:1,name:"老王",age:null}, false)
--->id = 1 and name = '老王'
allEq(BiPredicate filter, Map params)
allEq(BiPredicate filter, Map params, boolean null2IsNull)
allEq(boolean condition, BiPredicate filter, Map params, boolean null2IsNull)
个别参数说明:
filter
: 过滤函数,是否允许字段传入比对条件中,说到底解释key里面要包含某个字符串比如下面“a”,name和age因为包含了a才能查询出来params
与 null2IsNull
: 同上
allEq((k,v) -> k.indexOf("a") >= 0, {id:1,name:"老王",age:null})
--->name = '老王' and age is null
allEq((k,v) -> k.indexOf("a") >= 0, {id:1,name:"老王",age:null}, false)
--->name = '老王'
eq(R column, Object val)
eq(boolean condition, R column, Object val)
eq("name", "老王")
--->name = '老王'
ne(R column, Object val)
ne(boolean condition, R column, Object val)
ne("name", "老王")
--->name <> '老王'
gt(R column, Object val)
gt(boolean condition, R column, Object val)
gt("age", 18)
--->age > 18
ge(R column, Object val)
ge(boolean condition, R column, Object val)
ge("age", 18)
--->age >= 18
lt(R column, Object val)
lt(boolean condition, R column, Object val)
lt("age", 18)
--->age < 18
le(R column, Object val)
le(boolean condition, R column, Object val)
le("age", 18)
--->age <= 18
between(R column, Object val1, Object val2)
between(boolean condition, R column, Object val1, Object val2)
between("age", 18, 30)
--->age between 18 and 30
notBetween(R column, Object val1, Object val2)
notBetween(boolean condition, R column, Object val1, Object val2)
notBetween("age", 18, 30)
--->age not between 18 and 30
like(R column, Object val)
like(boolean condition, R column, Object val)
like("name", "王")
--->name like '%王%'
notLike(R column, Object val)
notLike(boolean condition, R column, Object val)
notLike("name", "王")
--->name not like '%王%'
likeLeft(R column, Object val)
likeLeft(boolean condition, R column, Object val)
likeLeft("name", "王")
--->name like '%王'
likeRight(R column, Object val)
likeRight(boolean condition, R column, Object val)
likeRight("name", "王")
--->name like '王%'
isNull(R column)
isNull(boolean condition, R column)
isNull("name")
--->name is null
isNotNull(R column)
isNotNull(boolean condition, R column)
isNotNull("name")
--->name is not null
in(R column, Collection> value)
in(boolean condition, R column, Collection> value)
in("age",{1,2,3})
--->age in (1,2,3)
in(R column, Object... values)
in(boolean condition, R column, Object... values)
in("age", 1, 2, 3)
--->age in (1,2,3)
notIn(R column, Collection> value)
notIn(boolean condition, R column, Collection> value)
notIn("age",{1,2,3})
--->age not in (1,2,3)
notIn(R column, Object... values)
notIn(boolean condition, R column, Object... values)
notIn("age", 1, 2, 3)
--->age not in (1,2,3)
inSql(R column, String inValue)
inSql(boolean condition, R column, String inValue)
inSql("age", "1,2,3,4,5,6")
--->age in (1,2,3,4,5,6)
inSql("id", "select id from table where id < 3")
--->id in (select id from table where id < 3)
notInSql(R column, String inValue)
notInSql(boolean condition, R column, String inValue)
notInSql("age", "1,2,3,4,5,6")
--->age not in (1,2,3,4,5,6)
notInSql("id", "select id from table where id < 3")
--->age not in (select id from table where id < 3)
groupBy(R... columns)
groupBy(boolean condition, R... columns)
groupBy("id", "name")
--->group by id,name
orderByAsc(R... columns)
orderByAsc(boolean condition, R... columns)
orderByAsc("id", "name")
--->order by id ASC,name ASC
orderByDesc(R... columns)
orderByDesc(boolean condition, R... columns)
orderByDesc("id", "name")
--->order by id DESC,name DESC
orderBy(boolean condition, boolean isAsc, R... columns)
orderBy(true, true, "id", "name")
--->order by id ASC,name ASC
having(String sqlHaving, Object... params)
having(boolean condition, String sqlHaving, Object... params)
having("sum(age) > 10")
--->having sum(age) > 10
having("sum(age) > {0}", 11)
--->having sum(age) > 11
or()
or(boolean condition)
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)
eq("id",1).or().eq("name","老王")
--->id = 1 or name = '老王'
or(Consumer consumer)
or(boolean condition, Consumer consumer)
or(i -> i.eq("name", "李白").ne("status", "活着"))
--->or (name = '李白' and status <> '活着')
and(Consumer consumer)
and(boolean condition, Consumer consumer)
and(i -> i.eq("name", "李白").ne("status", "活着"))
--->and (name = '李白' and status <> '活着')
nested(Consumer consumer)
nested(boolean condition, Consumer consumer)
nested(i -> i.eq("name", "李白").ne("status", "活着"))
--->(name = '李白' and status <> '活着')
apply(String applySql, Object... params)
apply(boolean condition, String applySql, Object... params)
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!
apply("id = 1")
--->id = 1
apply("date_format(dateColumn,'%Y-%m-%d') = '2008-08-08'")
--->date_format(dateColumn,'%Y-%m-%d') = '2008-08-08'")
apply("date_format(dateColumn,'%Y-%m-%d') = {0}", "2008-08-08")
--->date_format(dateColumn,'%Y-%m-%d') = '2008-08-08'")
last(String lastSql)
last(boolean condition, String lastSql)
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
last("limit 1")
exists(String existsSql)
exists(boolean condition, String existsSql)
exists("select id from table where age = 1")
--->exists (select id from table where age = 1)
notExists(String notExistsSql)
notExists(boolean condition, String notExistsSql)
notExists("select id from table where age = 1")
--->not exists (select id from table where age = 1)
select(String... sqlSelect)
select(Predicate predicate)
select(Class entityClass, Predicate predicate)
说明:
以上方分法为两类.
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
select("id", "name", "age")
select(i -> i.getProperty().startsWith("test"))
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(String column, Object val)
set(boolean condition, String column, Object val)
set("name", "老李头")
set("name", "")
--->数据库字段值变为空字符串set("name", null)
--->数据库字段值变为null
setSql(String sql)
setSql("name = '老李头'")
LambdaWrapper
QueryWrapper
中是获取LambdaQueryWrapper
UpdateWrapper
中是获取LambdaUpdateWrapper
需求来源:
在使用了mybatis-plus
之后, 自定义SQL的同时也想使用Wrapper
的便利应该怎么办? 在mybatis-plus
版本3.0.7
得到了完美解决 版本需要大于或等于3.0.7
, 以下两种方案取其一即可
mysqlMapper.getAll(Wrappers.lambdaQuery().eq(MysqlData::getGroup, 1));
@Select("select * from mysql_data ${ew.customSqlSegment}")
List getAll(@Param(Constants.WRAPPER) Wrapper wrapper);