"doc_count_error_upper_bound" : 0, "sum_other_doc_count" : 0, "buckets" : [ { "key" : "华为", "doc_count" : 4 }, { "key" : "小米", "doc_count" : 4 }, { "key" : "oppo", "doc_count" : 1 }, { "key" : "vivo", "doc_coun
聚合指令使用检索DSL(search DSL)定义,因而也使用检索指令的URI(标识为“_search”),请求消息体中若包含以“query”指示的查询指令,则以“aggs”指示的聚合指令进行聚合操作的对象为“query”指令的查询结果;若不包含“query”指令,则表示进行聚合操作的对象为索引中所有对象。 仍以《编程随笔-Elastic...
"aggs": {"all": {"terms": {"field":"topics","size":5} },"sum":{"sum_bucket":{"buckets_path":"all>_count"} } } 结果: "aggregations": { "all": { "doc_count_error_upper_bound": 11656, "sum_other_doc_count": 2575137, "buckets": [ { "key": "xx", "doc_count": 129...
getSumOfOtherDocCounts(), 0)); } origin: com.strapdata.elasticsearch.test/framework private static long sumOfDocCounts(Terms terms) { long sumOfDocCounts = terms.getSumOfOtherDocCounts(); for (Terms.Bucket b : terms.getBuckets()) { sumOfDocCounts += b.getDocCount(); }...
[ElasticSearch]ES操作之总和桶聚合 （SumBucketAggregation）最近从同事那⾥学到了很多ES查询的新姿势,总结⼀波.总和桶聚合(Sum Bucket Aggregation)使⽤场景: 获取某分组条件下所有桶的指定度量的和 ⽐如: 根据某个条件分组,获取前1000条数据出现的数量和.可以⽤笨办法定义变量,循环遍历分组,拿到count再求和...
return new InternalAvg(getName(), sum, count, format, pipelineAggregators(), getMetaData()); } 13 server/src/main/java/org/elasticsearch/search/aggregations/metrics/stats/InternalStats.java @@ -152,12 +152,23 @@ public InternalStats doReduce(List<InternalAggregation> aggregations, ReduceCont...
Victoria Metrics count too high, way too high, and I can't figure out why. With some experimentation we found, that addid a colon : to the range in Increase(..[1m:]) fixes the problem. Again, I have no idea why. The query then looks like this: sum(increase(endk_custom_label_tot...
Elasticsearch支持最直方图聚合,它在数字字段自动创建桶,并会扫描全部文档,把文档放入相应的桶中。这个数字字段既可以是文档中的某个字段,也可以通过脚本创建得出的。 2.2.1 桶的筛选规则 2.2.1.1 min_doc_count过滤 返回document数量大于等于1 的直方图聚合 ...
"sum_other_doc_count": 0, "buckets": [ { "key": "ABcdeFGHIjkhhh", "doc_count": 2 }, { "key": "充电器 ", "doc_count": 2 }, { "key": "ABcdeFGHIjk", "doc_count": 1 } ] } } } 1. 2. 3. 4. 5. 6. 7.
"hits": { "total": 11, "max_score": 0, "hits": [] } hits:表示命中信息 hits.total: 有多少条记录命中 hits.hits: 哪些数据命中了,但是如果在聚合的时候,我们加上了size=0的参数,那么就不会显示这些数据 "aggregations": { "group_colors": { "doc_count_error_upper_bound": 0, "sum_other...