这里用的是es5.6.9
bucket_script :它执行一个脚本,该脚本可以对多桶聚合中的指定度量执行每桶计算,指定的度量标准必须为数字,并且脚本必须返回数值。
官方语法
https://www.elastic.co/guide/en/elasticsearch/reference/master/search-aggregations-pipeline-bucket-script-aggregation.html
{ "bucket_script": { "buckets_path": { "my_var1": "the_sum", "my_var2": "the_value_count" }, "script": "params.my_var1 / params.my_var2" } }
给的一个例子
算出t-shirts卖出的钱占总钱数的百分比
POST /sales/_search { "size": 0, "aggs" : { "sales_per_month" : { "date_histogram" : { "field" : "date", "interval" : "month" }, "aggs": { "total_sales": { "sum": { "field": "price" } }, "t-shirts": { "filter": { "term": { "type": "t-shirt" } }, "aggs": { "sales": { "sum": { "field": "price" } } } }, "t-shirt-percentage": { "bucket_script": { "buckets_path": { "tShirtSales": "t-shirts>sales", "totalSales": "total_sales" }, "script": "params.tShirtSales / params.totalSales * 100" } } } } } }
script:聚合运行的脚本
buckets_path:脚本变量的映射及其与我们希望用于变量的桶的关联路径
format:格式以应用于此聚合的输出值
gap_policy:在数据中发现差距时应用的策略
其中"t-shirts"这个聚合里面又套了一层取值的聚合是因为buckets_path里引用的必须是一个值filter返回的不是一个值
也可以这样写
POST /sales/_search { "size": 0, "aggs" : { "sales_per_month" : { "date_histogram" : { "field" : "date", "interval" : "month" }, "aggs": { "total_sales": { "sum": { "field": "price" } }, "t-shirts": { "filter": { "term": { "type": "t-shirt" } } }, "t-shirt-percentage": { "bucket_script": { "buckets_path": { "tShirtSales": "t-shirts>_count", "totalSales": "total_sales" }, "script": "params.tShirtSales / params.totalSales * 100" } } } } } }
在spring data 中使用 bucket_script 聚合
ValueCountAggregationBuilder valueCountAggregationBuilder=AggregationBuilders.count("聚合的名字:total_attendance").field("聚合的字段名"); FilterAggregationBuilder filterLate=AggregationBuilders .filter("聚合的名字:filter_count",QueryBuilders.termQuery("term的字段名","过滤的字段值")); MapscriptParams=new HashMap<>(); lateScriptParams.put("total","total_attendance"); lateScriptParams.put("count","filter_count>_count"); BucketScriptPipelineAggregationBuilder script= PipelineAggregatorBuilders .bucketScript("聚合的名字:result",scriptParams,new Script("params.count/params.total*100")).format("#.##");
然后就是把聚合放到查询里面了
TermsAggregationBuilder usersResultAggs= AggregationBuilders.terms("users_term").field("userId.keyword")
.subAggregation(result)
.subAggregation(filter_count)
.subAggregation(total);
取值
1.使用elasticsearchTemplate
elasticsearchTemplate.query(searchQuery, searchResponse -> { MapaggregationMap=searchResponse.getAggregations().asMap(); StringTerms stringTerms = (StringTerms)aggregationMap.get("取值的那个聚合的名字:users_term");
//取值
return aggregationMap.get("取值的那个聚合的名字:result")).getValue()
stringTerms.getBuckets().forEach(aggs->{
MapsubAggMap=aggs.getAggregations().asMap();
//取百分比
Double result=((InternalSimpleValue)subAggMap.get("notsigendScript")).getValue();
});
return 返回结果;
});