java - java数组列表中的聚合字符串

Question

我有一个字符串数组的 Arraylist，已由下面的值(列和行)填充

{"name","sname","Id1","Id2","type","LDP","oldvalue","newvalue"}
{"test1","abc","20","50","t1","SD1","0","1"}
{"test2","znc","21","23","t1","SF5","3","4"}
{"test1","abc","20","50","t1","SD3","0","1"}
{"test1","HJc","53","50","t1","SD3","0","1"}
{"test2","znc","21","23","t1","SF1","1","6"}
{"test1","abc","20","50","t1","SD5","2","19"}
{"test3","ldb","19","54","t1","SR51","6","1"}
{"test2","znc","21","23","t1","SF12","17","36"}
{"test3","ldb","19","54","t1","SR44","19","31"}
{"test4","lYI","76","56","t1","TB77","54","87"}

我想通过对当前的Arraylist进行排序并获取具有相同键的行(排序方式:name，sname，Id1，Id2，type)来获得一个新的Arraylist，将它们的值连接在一列中(用;分隔)线。

预期输出:

{"name","sname","Id1","Id2","type","Comment"}
{"test1","abc","20","50","t1","SD1,0,1; SD3,0,1; SD5,2,19"}
{"test1","HJc","53","50","t1","SD3,0,1"}
{"test2","znc","21","23","t1","SF5,3,4; SF1,1,6; SF12,17,36"}
{"test3","ldb","19","54","t1","SR44,19,31;SR51,6,1 }
{"test4","lYI","76","56","t1","TB77,54,87"}

我的Arraylist是根据结果查询生成的:

 // header
     String[] myString0 = {"name","sname","Id1","Id2","type","LDP","oldvalue","newvalue"};
    //lines
     while (rset.next()) {

                                String name = rset.getString("name");
                                String sname = rset.getString("sname");
                                String Id1 = rset.getString("Id1");
                                String Id2 = rset.getString("Id2");
                                String type = rset.getString("type");
                                String LDP = rset.getString("LDP");
                                String oldvalue = rset.getString("oldvalue");
                                String newvalue = rset.getString("newvalue");

                                String[] myString1 = {name, sname, Id1, Id2, "type", LDP, oldvalue, newvalue};

                                outerArr.add(myString1);// my Arraylist
                            }
                        }

谢谢

Answer 1

这是一个使用 Streams 的解决方案，并得到了 Guava Ordering 的一些帮助。效用:

public static List<String[]> aggregate(List<String[]> data) {
    List<String[]> aggregated = data.stream()
            .skip(1)
            .map(Arrays::asList)
            .collect(Collectors.groupingBy(
                    a -> a.subList(0, 5),
                    () -> new TreeMap<>(
                            Ordering.from(String.CASE_INSENSITIVE_ORDER)
                                    .lexicographical()),
                    Collectors.mapping(
                            a -> String.join(",", a.subList(5, 8)),
                            Collectors.joining("; "))))
            .entrySet()
            .stream()
            .map(e -> Stream.concat(
                    e.getKey().stream(),
                    Stream.of(e.getValue())))
            .map(s -> s.toArray(String[]::new))
            .collect(Collectors.toCollection(ArrayList::new));

    aggregated.add(0, new String[] {"name","sname","Id1","Id2","type","Comment"});

    return aggregated;
}

测试:

public static void main(String[] args) {
    List<String[]> data = Arrays.asList(new String[][] {
            {"name","sname","Id1","Id2","type","LDP","oldvalue","newvalue"},
            {"test1","abc","20","50","t1","SD1","0","1"},
            {"test2","znc","21","23","t1","SF5","3","4"},
            {"test1","abc","20","50","t1","SD3","0","1"},
            {"test1","HJc","53","50","t1","SD3","0","1"},
            {"test2","znc","21","23","t1","SF1","1","6"},
            {"test1","abc","20","50","t1","SD5","2","19"},
            {"test3","ldb","19","54","t1","SR51","6","1"},
            {"test2","znc","21","23","t1","SF12","17","36"},
            {"test3","ldb","19","54","t1","SR44","19","31"},
            {"test4","lYI","76","56","t1","TB77","54","87"}
    });

    aggregate(data)
            .stream()
            .map(Arrays::toString)
            .forEach(System.out::println);
}

输出:

[name, sname, Id1, Id2, type, Comment]
[test1, abc, 20, 50, t1, SD1,0,1; SD3,0,1; SD5,2,19]
[test1, HJc, 53, 50, t1, SD3,0,1]
[test2, znc, 21, 23, t1, SF5,3,4; SF1,1,6; SF12,17,36]
[test3, ldb, 19, 54, t1, SR51,6,1; SR44,19,31]
[test4, lYI, 76, 56, t1, TB77,54,87]