获取指定列示例:
QueryWrapper<DistrictOrg> queryWrapper = new QueryWrapper<>();
queryWrapper.eq("district_id", districtId);
queryWrapper.select("org_id");
List<DistrictOrg> list = districtDistrictOrgMapper.selectList(queryWrapper);
List<Long> orgIds = list.stream().map(DistrictOrg::getOrgId).collect(Collectors.toList());
return orgIds;
group by示例:
queryWrapper.select("org_id as orgId,org_name as orgName,IFNULL(sum(amount),0) as amountTotal");
queryWrapper.groupBy("org_id");
List<Map<String, Object>> listMap = this.listMaps(queryWrapper);
for (Map<String, Object> map : listMap) {
System.out.println(map.get("orgId"));
System.out.println(map.get("orgName"));
System.out.println(BigDecimalUtils.getBigDecimal(map.get("amountTotal")));
}
apply查询方式示例:
//根据传进来的开始日期,查询所有该日期是数据,但是数据库中保存是时间,所以需要使用apply查询方式并格式化。
queryWrapper.apply("date_format(create_date, '%Y-%m-%d') = {0}", curTime);
count统计示例:
QueryWrapper<Employee> queryWrapper=new QueryWrapper();
queryWrapper.gt("salary",3500).like("name","小");
Integer count = employeeMapper.selectCount(queryWrapper);
System.out.println(count);
查询某列不为空的总数:
QueryWrapper<Org> queryWrapper = Wrappers.query();
queryWrapper.isNotNull("列名");
查询指定列示例:
QueryWrapper<Employee> queryWrapper = new QueryWrapper<>();
queryWrapper.select("user_id", "last_name");
List<Map<String, Object>> listMap = listMaps(queryWrapper);
map.get("user_id");
map.get("last_name");
SUM(AVG)示例:
QueryWrapper<Org> queryWrapper= new QueryWrapper<Org>();
queryWrapper.eq("org_id", orgId);
queryWrapper.select("IFNULL(sum(balance),0) as total ");
Map<String, Object> map = getMap(queryWrapper);
BigDecimal total = new BigDecimal(String.valueOf(map.get("total")));
And,Or一起用
QueryWrapper<Org> queryWrapper= new QueryWrapper<Org>();
queryWrapper.and(wrapper -> wrapper.eq("type", 1).or().eq("type", 2));
LIMIT 取1条
QueryWrapper<Org> queryWrapper= new QueryWrapper<Org>();
queryWrapper.last("limit 1");
ORDERBY 排序
QueryWrapper<Org> wrapper=new QueryWrapper<>();
wrapper.lambda().orderByDesc(Org::getCreateDate);
wrapper.lambda().orderByAsc(Org::getCreateDate);