Reputation: 5720
I'm using counting collector of java 8 to get information about the count of values.
For ex; If I have bunch of streams like
Stream<String> doc1 = Stream.of("a", "b", "c", "b", "c");
Stream<String> doc2 = Stream.of("b", "c", "d");
Stream<Stream<String>> docs = Stream.of(doc1, doc2);
I am able to count the occurrences of each word in a doc by doing
List<Map<String, Long>> collect = docs
.map(doc -> doc.collect(Collectors.groupingBy(Function.identity(), Collectors.counting())))
.collect(Collectors.toList());
This results in a structure as
[
{a=1, b=2, c=2},
{b=1, c=1, d=1}
]
However, I would like to have the count be associated with the docId from which it originated from. For example I would like to have a structure as
[
{a=(randId1, 1), b=(randId1, 2), c=(randId1, 2)},
{b=(randId2, 1), c=(randId2, 1), d=(randId2, 1)}
]
where randId1
and randId2
can be generated at runtime(I just need a way to trace back to a unique source) and ()
represents a Pair class from Apache.
I have tried to wrap the doc in a Pair
of (docId, doc)
but I am stuck at modifying the Collectors.counting()
substitution
List<Map<String, Long>> collect = docs.map(doc -> Pair.of(UUID.randomUUID(), doc))
.map(p -> p.getRight().collect(Collectors.groupingBy(Function.identity(), Collectors.counting())))
.collect(Collectors.toList());
How do I get the output in the format needed ?
Upvotes: 4
Views: 967
Reputation: 30696
How about this?
List<Map<String, Pair<UUID, Long>>> collect = docs.map(doc -> {
UUID id = UUID.randomUUID();
return doc.collect(groupingBy(
identity(),
// v--- adapting Collector<?,?,Long> to Collector<?,?,Pair>
collectingAndThen(counting(), n -> Pair.of(id, n))
));
}).collect(Collectors.toList());
I'm just copy your code snippet and adapting your last generic argument Long
to Pair
by Collectors#collectingAndThen:
// v--- the code need to edit is here
List<Map<String, Long>> collect = docs
.map(doc -> doc.collect(Collectors.groupingBy(Function.identity()
// the code need to edit is here ---v
,Collectors.counting())))
.collect(Collectors.toList());
Upvotes: 4
Reputation: 34470
I think you could do it as follows:
List<Map<String, Pair<UUID, Long>>> result = docs
.map(doc -> Pair.of(UUID.randomUUID(), doc))
.map(p -> p.getRight() // right: doc stream
.map(word -> Pair.of(word, p.getLeft()))) // left: uuid
.map(stream -> stream.collect(Collectors.toMap(
Pair::getLeft, // word
p -> Pair.of(p.getRight(), 1L), // right: uuid
(p1, p2) -> Pair.of(p1.getLeft(), p1.getRight() + p2.getRight())))) // merge
.collect(Collectors.toList());
I've use Pair.of
multiple times to pass around both the word and the random doc id. Finally, I've used Collectors.toMap
with a function to merge values when there's a collision on the keys. The result is exactly as you want, i.e.:
[{a=(fa843dec-3e02-4811-b34f-79949340b4c5,1),
b=(fa843dec-3e02-4811-b34f-79949340b4c5,2),
c=(fa843dec-3e02-4811-b34f-79949340b4c5,2)},
{b=(dc2ad8c7-298a-433e-8b27-88bd3c8eaebb,1),
c=(dc2ad8c7-298a-433e-8b27-88bd3c8eaebb,1),
d=(dc2ad8c7-298a-433e-8b27-88bd3c8eaebb,1)}]
Maybe this could be improved by moving the code that collects the inner streams to a helper method:
private Map<String, Pair<UUID, Long>> collectInnerDoc(
Stream<Pair<String, UUID>> stream) {
return stream.collect(Collectors.toMap(
Pair::getLeft, // word
p -> Pair.of(p.getRight(), 1L), // random doc id
(p1, p2) -> Pair.of(p1.getLeft(), p1.getRight() + p2.getRight()))); // merge
}
You could then use this method to collect your outer stream:
List<Map<String, Pair<UUID, Long>>> result = docs
.map(doc -> Pair.of(UUID.randomUUID(), doc))
.map(p -> p.getRight() // right: doc stream
.map(word -> Pair.of(word, p.getLeft()))) // left: uuid
.map(this::collectInnerDoc) // map inner stream to map
.collect(Collectors.toList());
This assumes the private method is declared in the same class you are collecting the outer stream. If this is not the case, change the this::collectInnerDocs
method reference accordingly.
Upvotes: 2
Reputation: 121048
This ain't very readable... I've replaced Pair
with AbstractMap.SimpleEntry
since it does the same thing and I already have it on my classpath.
List<Map<String, AbstractMap.SimpleEntry<Long, UUID>>> result = docs.map(doc -> doc.collect(Collectors.collectingAndThen(
Collectors.groupingBy(Function.identity(), Collectors.counting()),
map -> {
UUID rand = UUID.randomUUID();
return map.entrySet().stream().collect(Collectors.toMap(
Entry::getKey,
e -> new AbstractMap.SimpleEntry<>(e.getValue(), rand)));
})))
.collect(Collectors.toList());
System.out.println(result);
And the output of this:
[{a=1=890d7276-efb7-41cc-bda7-f2dd2859e740,
b=2=890d7276-efb7-41cc-bda7-f2dd2859e740,
c=2=890d7276-efb7-41cc-bda7-f2dd2859e740},
{b=1=888d78a5-0dea-4cb2-8686-c06c784d4c66,
c=1=888d78a5-0dea-4cb2-8686-c06c784d4c66,
d=1=888d78a5-0dea-4cb2-8686-c06c784d4c66}]
Upvotes: 5