我想检查一下如何实现自定义收集器。
说,我需要做些
(1)对字母频率图和 (2)能够将2个结果合并为一个结果。
class CharHistogram implements Collector<String, Map<Character, Integer>, Map<Character, Integer>> {
public static CharHistogram toCharHistogram(){
return new CharHistogram();
}
@Override
public Supplier<Map<Character, Integer>> supplier() {
SysOut.print("supplier invoked");
return HashMap::new;
}
@Override
public BiConsumer<Map<Character, Integer>, String> accumulator() {
SysOut.print("accumulator invoked");
return (map, val) -> {
SysOut.print(val +" processed");
char[] characters = val.toCharArray();
for (char character : characters) {
int count = 1;
if (map.containsKey(character)) {
count = map.get(character);
count++;
}
map.put(character, count);
}
};
}
@Override
public BinaryOperator<Map<Character, Integer>> combiner() {
SysOut.print("combiner invoked");
return (map1, map2) -> {
SysOut.print(map1+" merged to "+map2);
map2.forEach((k, v) -> map1.merge(k, v, (v1, v2) -> v1 + v2));
return map1;
};
}
@Override
public Function<Map<Character, Integer>, Map<Character, Integer>> finisher() {
SysOut.print("finisher invoked");
return Function.identity();
}
@Override
public Set<java.util.stream.Collector.Characteristics> characteristics() {
return Collections.unmodifiableSet(EnumSet.of(Characteristics.IDENTITY_FINISH, Characteristics.UNORDERED));
}
}
客户代码:
CharHistogram charStatsState = CharHistogram.toCharHistogram();
Map<Character, Integer> charCountMap = Arrays.asList("apple","orange","orange").stream().collect(charStatsState);
SysOut.print(charCountMap);
charCountMap = Arrays.asList("pears","pears","orange").stream().collect(charStatsState);
SysOut.print(charCountMap);
输出:
[main]: supplier invoked
[main]: accumulator invoked
[main]: combiner invoked
[main]: apple processed
[main]: orange processed
[main]: orange processed
[main]: {p=2, a=3, r=2, e=3, g=2, l=1, n=2, o=2}
[main]: supplier invoked
[main]: accumulator invoked
[main]: combiner invoked
[main]: pears processed
[main]: pears processed
[main]: orange processed
[main]: {p=2, a=3, r=3, s=2, e=3, g=1, n=1, o=1}
我看不到合并器或整理器都被调用,我认为这些必须正确设计才能实现我想要的功能。
我想念什么?
编辑:
支持流和组合器的一种可能方法。以下代码无法正常工作。
class CharStreamHistogram implements Function<String, Map<Character, Integer>>{
private int totalCharactersRead;
private Map<Character, Integer> histogram;
public int getTotalCharactersRead() {
return totalCharactersRead;
}
public Map<Character, Integer> getHistogram() {
return histogram;
}
public void setHistogram(Map<Character, Integer> histogram) {
this.histogram = histogram;
}
public void setTotalCharactersRead(int totalCharactersRead) {
this.totalCharactersRead = totalCharactersRead;
}
public Map<Character, Integer> combine(Map<Character, Integer> map2) {
Map<Character, Integer> map1 = this.histogram;
map2.forEach((k, v) -> map1.merge(k, v, (v1, v2) -> v1 + v2));
return map2;
}
@Override
public Map<Character, Integer> apply(String val) {
char[] characters = val.toCharArray();
totalCharactersRead += characters.length;
for (char character : characters) {
int count = 1;
if (histogram.containsKey(character)) {
count = histogram.get(character);
count++;
}
histogram.put(character, count);
}
return histogram;
}
}
public static <T> Collector<T, ?, CharStreamHistogram> summarizeCharStream(
CharStreamHistogram histogram) { //TODO: is this correct?
Collector charStatsState = new Collector<String, CharStreamHistogram, CharStreamHistogram>() {
@Override
public Supplier<CharStreamHistogram> supplier() {
return CharStreamHistogram::new;
}
@Override
public BiConsumer<CharStreamHistogram, String> accumulator() {
//TODO: What to do here?
return null;
}
@Override
public BinaryOperator<CharStreamHistogram> combiner() {
BinaryOperator binaryOperator = (l, r) -> {
l.combine(r); //TODO: Something like this?
};
return binaryOperator;
}
@Override
public Function<CharStreamHistogram, CharStreamHistogram> finisher() {
//TODO: What to do here?
return null;
}
@Override
public Set<java.util.stream.Collector.Characteristics> characteristics() {
return Collections.unmodifiableSet(EnumSet.of(Characteristics.UNORDERED));
}
};
return charStatsState;
}
答案 0 :(得分:6)
好吧,您已经声明了Characteristics.IDENTITY_FINISH
-明确表示不会调用finisher
,并且只有在并行流的情况下才调用combiner
。