9.5.2 映射(Map)类型的使用范例
Redisson提供的RMap
、 RMapCache
和RLocalCachedMap
这三种映射(Map)类型的对象均可以使用这种分布式映射归纳(MapReduce)服务。
以下是在映射(Map)类型的基础上采用映射归纳(MapReduce)来实现字数统计的范例:
Mapper对象将每个映射的值用空格且分开。
public class WordMapper implements RMapper<String, String, String, Integer> {
@Override
public void map(String key, String value, RCollector<String, Integer> collector) {
String[] words = value.split("[^a-zA-Z]");
for (String word : words) {
collector.emit(word, 1);
}
}
}
Reducer对象计算统计所有单词的使用情况。
public class WordReducer implements RReducer<String, Integer> {
@Override
public Integer reduce(String reducedKey, Iterator<Integer> iter) {
int sum = 0;
while (iter.hasNext()) {
Integer i = (Integer) iter.next();
sum += i;
}
return sum;
}
}
Collator对象统计所有单词的使用情况。
public class WordCollator implements RCollator<String, Integer, Integer> {
@Override
public Integer collate(Map<String, Integer> resultMap) {
int result = 0;
for (Integer count : resultMap.values()) {
result += count;
}
return result;
}
}
把上面的各个对象串起来使用:
RMap<String, String> map = redisson.getMap("wordsMap");
map.put("line1", "Alice was beginning to get very tired");
map.put("line2", "of sitting by her sister on the bank and");
map.put("line3", "of having nothing to do once or twice she");
map.put("line4", "had peeped into the book her sister was reading");
map.put("line5", "but it had no pictures or conversations in it");
map.put("line6", "and what is the use of a book");
map.put("line7", "thought Alice without pictures or conversation");
RMapReduce<String, String, String, Integer> mapReduce
= map.<String, Integer>mapReduce()
.mapper(new WordMapper())
.reducer(new WordReducer());
// 统计词频
Map<String, Integer> mapToNumber = mapReduce.execute();
// 统计字数
Integer totalWordsAmount = mapReduce.execute(new WordCollator());