相关疑难解决方法(0)

我需要使用特定对象的属性(Location)对对象列表(Student)进行分组,代码如下所示,

public class Grouping {

    /**
     * @param args the command line arguments
     */
    public static void main(String[] args) {

        List<Student> studlist = new ArrayList<Student>();
        studlist.add(new Student("1726", "John", "New York"));
        studlist.add(new Student("4321", "Max", "California"));
        studlist.add(new Student("2234", "Andrew", "Los Angeles"));
        studlist.add(new Student("5223", "Michael", "New York"));
        studlist.add(new Student("7765", "Sam", "California"));
        studlist.add(new Student("3442", "Mark", "New York"));

        //Code to group students by location
        /*  Output should be Like below
            ID : 1726   Name : John Location : New York
            ID : 5223   Name : …

我有:一行一行的文本文件.每个String包含一行.

我想要的:使用Java Streams按第一个字符对所有单词进行分组.

到目前为止我所拥有的:

public static Map<Character, List<String>> groupByFirstChar(String fileName)
        throws IOException {

    return Files.lines(Paths.get(PATH)).
            flatMap(s -> Stream.of(s.split("[^a-zA-Z]"))).
            map(s -> s.toLowerCase()).
            sorted((s1, s2) -> s1.compareTo(s2)).
            collect(Collectors.groupingBy(s -> s.charAt(0)));
}

问题:我得到一个例外

Exception in thread "main" java.lang.StringIndexOutOfBoundsException: String index out of range: 0
at java.lang.String.charAt(String.java:646)
at textana.TextAnalysisFns.lambda$16(TextAnalysisFns.java:110)
at textana.TextAnalysisFns$$Lambda$36/159413332.apply(Unknown Source)
at java.util.stream.Collectors.lambda$groupingBy$196(Collectors.java:907)
at java.util.stream.Collectors$$Lambda$23/189568618.accept(Unknown Source)
at java.util.stream.ReduceOps$3ReducingSink.accept(ReduceOps.java:169)
at java.util.stream.SortedOps$RefSortingSink$$Lambda$37/186370029.accept(Unknown Source)
at java.util.ArrayList.forEach(ArrayList.java:1249)
at java.util.stream.SortedOps$RefSortingSink.end(SortedOps.java:390)
at java.util.stream.Sink$ChainedReference.end(Sink.java:258)
at java.util.stream.Sink$ChainedReference.end(Sink.java:258)
at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:513)
at java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:502)
at java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:708)
at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)
at java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:499)
at …