1、多条件去重
List<user> infoList = new ArrayList<>();
//实体类 userName orderNumber age
(new user("11111", "xc", "22"));
(new user("11111", "xc", "33"));
(new user("11111", "xy", "22"));
(new user("22222", "xc", "23"));
(new user("22222", "xc", "33"));
(new user("22222", "xy", "22"));
List<user> list = ()
.collect(((() -> new TreeSet<>(
(f -> () + ()))), ArrayList::new));
(list);
2、多条件判断是否存在重复数据
List<SupplierPerformanceBillHead> list = new ArrayList<>();
for (int i = 0; i < 3; i++) {
SupplierPerformanceBillHead bean = new SupplierPerformanceBillHead();
((i));
if (i==2){
((i-1));
("测试");//这里修改,会出现不重复
}else {
("测试");
}
("www");
(bean);
}
for (SupplierPerformanceBillHead head : list) {
(head);
}
// 使用stream和Lambda表达式进行分组和过滤
Map<String, Long> duplicates = ()
.collect((person -> () + "_" + ()+ "_" + (), ()))
.entrySet().stream()
.filter(entry -> () > 1)
.collect((::getKey, ::getValue));
if (()){
("没有重复数据");
}else {
("存在重复数据");
}
// 打印重复的数据
((key, value) -> ("重复字符组: " + key + ", 条数: " + value));