Jdk1.8 new feature Stream stream has three such APIs, anyMatch, allMatch, noneMatch, their respective functions are as follows:
anyMatch: if any one of the conditions satisfies the condition, then true is returned;
allMatch: if all of the conditions satisfy the condition, true is returned;
noneMatch: if none of the judgment conditions meet the conditions, then return true;
The way they are used is actually very simple:
List<String> list = Arrays.asList("a", "b", "c","d", ""); //任意一个字符串判断不为空则为true boolean anyMatch = list.stream().anyMatch( s->StringUtils.isEmpty(s)); //所有字符串判断都不为空则为true boolean allMatch = list.stream().allMatch( s->StringUtils.isEmpty(s)); //没有一个字符判断为空则为true boolean noneMatch = list.stream().noneMatch( s->StringUtils.isEmpty(s));
It can be seen, According to the above three implementation methods, the situation of too many judgment conditions in if can be optimized to a certain extent. So, in which scenario is it more suitable to use its optimization?
In daily actual development, we may have seen codes like this with many judgment conditions:
if(StringUtils.isEmpty(str1) || StringUtils.isEmpty(str2) || StringUtils.isEmpty(str3) || StringUtils.isEmpty(str4) || StringUtils.isEmpty(str5) || StringUtils.isEmpty(str6) ){ ..... }
At this time, you can consider using stream flow to optimize, and the optimized The code is as follows:
if(Stream.of(str1, str2, str3, str4,str5,str6).anyMatch(s->StringUtils.isEmpty(s))){ ..... }
After optimization like this, is it more elegant than the conditions piled together in a bunch of ifs?
Of course, this is only for or conditions. If you encounter and conditions, you can also use Stream to optimize, for example:
if(StringUtils.isEmpty(str1) && StringUtils.isEmpty(str2) && StringUtils.isEmpty(str3) && StringUtils.isEmpty(str4) && StringUtils.isEmpty(str5) && StringUtils.isEmpty(str6) ){ ..... }
After using Stream to optimize:
if(Stream.of(str1, str2, str3, str4,str5,str6).allMatch(s->StringUtils.isEmpty(s))){ ..... }
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