elasticSearch聚合sum查询

有时需要统计一段时间内，订单的总金额。类似于sql的sum，针对某一字段求和。这就涉及到es的聚合查询，来看看用spring-data-elasticSearch怎么写：

1.  
   QueryBuilder queryBuilder = QueryBuilders.boolQuery()
2.  
   .must(QueryBuilders.rangeQuery("orderTime").gte(from).lte(to));
3.  
   // 聚合查询。goodsSales是要统计的字段，sum_sales是自定义的别名
4.  
   SumAggregationBuilder sumBuilder = AggregationBuilders.sum("sum_sales").field("goodsSales");
5.  
    
6.  
   SearchQuery searchQuery = new NativeSearchQueryBuilder()
7.  
   .withQuery(queryBuilder)
8.  
   .addAggregation(sumBuilder)
9.  
   .build();
10.  
     
11.  
    double saleAmount = elasticsearchTemplate.query(searchQuery, response -> {
12.  
    InternalSum sum = (InternalSum)response.getAggregations().asList().get(0);
13.  
    return sum.getValue();
14.  
    });

对应es查询语句：

1.  
   {
2.  
   "query": {
3.  
   "bool": {
4.  
   "must": [
5.  
   {
6.  
   "range": {
7.  
   "orderTime": {
8.  
   "gte": 20180313,
9.  
   "lte": 20180314
10.  
    }
11.  
    }
12.  
    },
13.  
    {
14.  
    "match": {
15.  
    "skuNo": "888"
16.  
    }
17.  
    }
18.  
    ]
19.  
    }
20.  
    },
21.  
    "aggs": {
22.  
    "sum_value": {
23.  
    "sum_sales": {
24.  
    "field": "goodsSales"
25.  
    }
26.  
    }
27.  
    }
28.  
    }

以下还有一些常用聚合查询（参考http://blog.csdn.net/u010454030/article/details/63266035）：

1.  
   （1）统计某个字段的数量
2.  
   ValueCountBuilder vcb= AggregationBuilders.count("count_uid").field("uid");
3.  
   （2）去重统计某个字段的数量（有少量误差）
4.  
   CardinalityBuilder cb= AggregationBuilders.cardinality("distinct_count_uid").field("uid");
5.  
   （3）聚合过滤
6.  
   FilterAggregationBuilder fab= AggregationBuilders.filter("uid_filter").filter(QueryBuilders.queryStringQuery("uid:001"));
7.  
   （4）按某个字段分组
8.  
   TermsBuilder tb= AggregationBuilders.terms("group_name").field("name");
9.  
   （5）求和
10.  
    SumBuilder sumBuilder=AggregationBuilders.sum("sum_price").field("price");
11.  
    （6）求平均
12.  
    AvgBuilder ab= AggregationBuilders.avg("avg_price").field("price");
13.  
    （7）求最大值
14.  
    MaxBuilder mb= AggregationBuilders.max("max_price").field("price");
15.  
    （8）求最小值
16.  
    MinBuilder min=AggregationBuilders.min("min_price").field("price");
17.  
    （9）按日期间隔分组
18.  
    DateHistogramBuilder dhb= AggregationBuilders.dateHistogram("dh").field("date");
19.  
    （10）获取聚合里面的结果
20.  
    TopHitsBuilder thb= AggregationBuilders.topHits("top_result");
21.  
    （11）嵌套的聚合
22.  
    NestedBuilder nb= AggregationBuilders.nested("negsted_path").path("quests");
23.  
    （12）反转嵌套
24.  
    AggregationBuilders.reverseNested("res_negsted").path("kps ");