根据messageStatus字段分组统计不同状态的数据量，相当于mysql里的group by 关键字。

使用mongo里的aggregation聚合关键字。

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.mongodb.core.MongoTemplate;
import org.springframework.data.mongodb.core.aggregation.Aggregation;
import org.springframework.data.mongodb.core.aggregation.AggregationResults;
import org.springframework.stereotype.Service;import java.util.List;/*** @author DAI* @date 2020/5/30 19:08* @Description TODO*/
@Service
public class MessageReceiveLogDaoImpl implements MessageReceiveLogDao {@AutowiredMongoTemplate mongoTemplate;@Overridepublic List<MessageCount> countByMessageStatus() {Aggregation aggregation = Aggregation.newAggregation(Aggregation.group("messageStatus").count().as("count"),Aggregation.project("count").and("messageStatus").previousOperation());AggregationResults<MessageCount> outputTypeCount = mongoTemplate.aggregate(aggregation, MessageReceiveLog.class, MessageCount.class);return outputTypeCount.getMappedResults();}
}

结果集类

import lombok.Data;/*** @author DAI* @date 2020/6/1 11:56* @Description 分组求和*/
@Data
public class MessageCount {String messageStatus;Long count;
}

前端返回结果