使用mongoTemplate进行Aggregation聚合查询
Aggregation聚合查询
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需求：在订单表中，根据buyerNick分组，统计每个buyerNick的电话、地址、支付总金额以及总商品数，返回结果是CustomerDetail。
/*
* project:列出所有本次查询的字段，包括查询条件的字段和需要搜索的字段；
* match:搜索条件criteria
* unwind：某一个字段是集合，将该字段分解成数组
* group：分组的字段，以及聚合相关查询
* sum：求和(同sql查询)
* count：数量(同sql查询)
* as:别名(同sql查询)
* addToSet：将符合的字段值添加到一个集合或数组中
* sort：排序
* skip&limit：分页查询
*/
public List customerDetailList(Integer pageNum,String userId,String buyerNick,String itemId,List phones) throws Exception{
Criteria criteria = Criteria.where("userId").is(userId);
Integer pageSize = 10;
Integer startRows = (pageNum - 1) * pageSize;
if(buyerNick != null && !"".equals(buyerNick)){
criteria.and("buyerNick").is(buyerNick);
}
if(phones != null && phones.size() > 0){
criteria.and("mobile").in(phoneList);
}
if(itemId != null && !"".equals(itemId)){
criteria.and("orders.numIid").is(itemId);
}
Aggregation customerAgg = Aggregation.newAggregation(
Aggregation.project("buyerNick","payment","num","tid","userId","address","mobile","orders"),
Aggregation.match(criteria),
Aggregation.unwind("orders"),
Aggregation.group("buyerNick").first("buyerNick").as("buyerNick").first("mobile").as("mobile").
first("address").as("address").sum("payment").as("totalPayment").sum("num").as("itemNum").count().as("orderNum"),
Aggregation.sort(new Sort(new Sort.Order(Sort.Direction.DESC, "totalPayment"))),
Aggregation.skip(startRows),
Aggregation.limit(pageSize)
);
List customerList = tradeRepository.findAggregateList(new Query(criteria), userId, customerAgg,CustomerDetail.class);
return customerList;
}
public List findAggregateList(Query query,String userNickName, Aggregation aggregation,Class clazz) {
AggregationResults aggregate = this.mongoTemplate.aggregate(aggregation, collectionName, clazz);
List customerDetails = aggregate.getMappedResults();
return customerDetails;
}
Trade表：
public class TradeInfo{
private String tid;//订单id
private Double payment;//支付金额
private String buyerNick;//买家昵称
private String address;//地址
private String mobile;//手机号
private Long num;//购买商品数量
private List orders;子订单
}
CustomerDetail：
public class CustomerDetail{
private String buyerNick;//买家昵称
private Double totalPayment;//订单金额
private Integer orderNum;//订单数
private Integer itemNum;//商品数
private String address;//地址
}
聚合分组，先过滤字段为type=Constants.DataSetOpt.OPT_VIEW,通过dateSetId进行分组，并计算每组的个数，.first是需要显示的字段。
//浏览分组
private List flowGroup() {
Criteria criteria = Criteria.where("type").is(Constants.DataSetOpt.OPT_VIEW);
Aggregation agg = Aggregation.newAggregation(
Aggregation.match(criteria),
Aggregation.group("dataSetId")
.first("dataSetId").as("dataSetId")
.count()
.as("dataSetIdCount")
.first("dataSetType").as("dataSetType")
);
AggregationResults result = mongoTemplate.aggregate(agg,Access.class ,Document.class);
return result.getMappedResults();
}
也可以使用TypedAggregation的方式进行聚合分组，如下：
@Test
public void statTest(){
TypedAggregation agg = Aggregation.newAggregation(Statistics.class,
Aggregation.group("month")
.sum("totalVisit")
.as("sumTotalVisit")
.sum("totalDownload")
.as("sumTotalDownload"));
AggregationResults result = mongoTemplate.aggregate(agg, Document.class);
// return result.getMappedResults();
result.getMappedResults().forEach(document -> System.out.println(document));
}
***注意，使用Aggregation聚合函数Springboot版本限制,否则不生效****