积累一个Java Stream,然后再处理它
我的文档如下所示:
数据.txt
100, "some text"
101, "more text"
102, "even more text"
我使用正则表达式处理它并返回一个新的处理文档,如下所示:
I processed it using regex and returned a new processed documents as the follow:
Stream<String> lines = Files.lines(Paths.get(data.txt);
Pattern regex = Pattern.compile("([\d{1,3}]),(.*)");
List<MyClass> result =
lines.map(regex::matcher)
.filter(Matcher::find)
.map(m -> new MyClass(m.group(1), m.group(2)) //MyClass(int id, String text)
.collect(Collectors.toList());
这将返回已处理的 MyClass 列表.可以并行运行,一切正常.
This returns a list of MyClass processed. Can run in parallel and everything is ok.
问题是我现在有这个:
data2.txt
101, "some text
the text continues in the next line
and maybe in the next"
102, "for a random
number
of lines"
103, "until the new pattern of new id comma appears"
所以,我不知何故需要加入从流中读取的行,直到出现新的匹配项.(类似于缓冲区的东西?)
So, I somehow need to join lines that are being read from the stream until a new match appear. (Something like an buffer?)
我尝试收集字符串,然后收集 MyClass(),但没有成功,因为我实际上无法拆分流.
I tried to Collect strings and then collect MyClass(), but with no success, because I cannot actually split streams.
Reduce 想到连接行,但我只连接行,我不能减少和生成新的行流.
Reduce comes to mind to concatenate lines, but I'll concatenate just lines and I cannot reduce and generate a new stream of lines.
任何想法如何用 java 8 流解决这个问题?
Any ideas how to solve this with java 8 streams?
推荐答案
这是 java.util.Scanner
的工作.对于即将推出的 Java 9,您可以编写:
This is a job for java.util.Scanner
. With the upcoming Java 9, you would write:
List<MyClass> result;
try(Scanner s=new Scanner(Paths.get("data.txt"))) {
result = s.findAll("(\d{1,3}),\s*"([^"]*)"")
//MyClass(int id, String text)
.map(m -> new MyClass(Integer.parseInt(m.group(1)), m.group(2)))
.collect(Collectors.toList());
}
result.forEach(System.out::println);
但由于生成 findAll
的 Stream
在 Java 8 下不存在,我们需要一个辅助方法:
but since the Stream
producing findAll
does not exist under Java 8, we’ll need a helper method:
private static Stream<MatchResult> matches(Scanner s, String pattern) {
Pattern compiled=Pattern.compile(pattern);
return StreamSupport.stream(
new Spliterators.AbstractSpliterator<MatchResult>(1000,
Spliterator.ORDERED|Spliterator.NONNULL) {
@Override
public boolean tryAdvance(Consumer<? super MatchResult> action) {
if(s.findWithinHorizon(compiled, 0)==null) return false;
action.accept(s.match());
return true;
}
}, false);
}
用这个辅助方法替换findAll
,我们得到
Replacing findAll
with this helper method, we get
List<MyClass> result;
try(Scanner s=new Scanner(Paths.get("data.txt"))) {
result = matches(s, "(\d{1,3}),\s*"([^"]*)"")
// MyClass(int id, String text)
.map(m -> new MyClass(Integer.parseInt(m.group(1)), m.group(2)))
.collect(Collectors.toList());
}
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