I have a use case where I need to read a file and get the grouping of a sequence and a list of values associated with the sequence. The format of these records in the file are like sequence - val , example
10-A
10-B
11-C
11-A
I want the output to be a map (Map<String,List<String>>
) with the sequence as the key and list of values associated with it as value, like below
10,[A,B]
11,[C,A]
Is there a way I can do this without creating a POJO for these records? I have been trying to explore the usage of Collectors.groupingBy
and most of the examples I see are based on creating a POJO.
I have been trying to write something like this
Map<String, List<String>> seqCpcGroupMap = pendingCpcList.stream().map(rec ->{
String[] cpcRec = rec.split("-");
return new Tuple2<>(cpcRec[0],cpcRec[1])
}).collect(Collectors.groupingBy(x->x.))
or
Map<String, List<String>> seqCpcGroupMap = pendingCpcList.stream().map(rec ->{
String[] cpcRec = rec.split("-");
return Arrays.asList(cpcRec[0],cpcRec[1]);
}).collect(Collectors.groupingBy(x->(ArrayList<String>)x[0]));
I am unable to provide any key on which the groupingBy
can happen for the groupingBy
function, is there a way to do this or do I have to create a POJO to use groupingBy
?
You may do it like so,
Map<String, List<String>> result = source.stream()
.map(s -> s.split("-"))
.collect(Collectors.groupingBy(a -> a[0],
Collectors.mapping(a -> a[1], Collectors.toList())));
Alternatively, you can use Map.computeIfAbsent
directly as :
List<String> pendingCpcList = List.of("10-A","10-B","11-C","11-A");
Map<String, List<String>> seqCpcGroupMap = new HashMap<>();
pendingCpcList.stream().map(rec -> rec.split("-"))
.forEach(a -> seqCpcGroupMap.computeIfAbsent(a[0], k -> new ArrayList<>()).add(a[1]));
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