1,需求:
在分页查询的同时,返回所查询商品的类目和品牌的聚合信息
2,mapping:
{
"item" : {
"properties" : {
"item_name" : {
"type" : "string",
"index" : "analyzed",
"analyzer" : "ik_smart"
},
"brand_name" : {
"type" : "multi_field",
"fields" : {
"brand_name" : {"type" : "string", "index" : "analyzed", "analyzer" :"ik_smart"},
"brand_name_agg" : {"type" : "string", "index" : "not_analyzed"}
}
},
"c_name" : {
"type" : "multi_field",
"fields" : {
"c_name" : {"type" : "string", "index" : "analyzed","analyzer" :"ik_smart"},
"c_name_agg" : {"type" : "string", "index" : "not_analyzed"}
}
}
}
}
}
这里需要注意的是brand_name如果设置为ik分词,聚合结果也会进行分词,导致结果不准确
可对brand_name进行multi_field设置,query时使用brand_name,agg时使用brand_name_agg
3,查询时需要注意如果分别统计两个不相关的字段,可设置aggregations下多个结果集,若统计有父子关系的字段,
例如某年级下某班级的学生个数,可使用subAggregation功能
search:
{"from" : 0,
"size" : 20,
"query" : {
"bool" : {
"must" : {
"fuzzy" : {
"item_name" : {
"value" : "西门子"
}
}
}
}
},
"explain" : true,
"aggregations" : {
"brand_name.brand_name_agg" : {
"terms" : {
"field" : "brand_name.brand_name_agg",
"size" : 9999,
"order" : {
"_count" : "asc"
}
}
},
"c_name.c_name_agg" : {
"terms" : {
"field" : "c_name.c_name_agg",
"size" : 9999,
"order" : {
"_count" : "asc"
}
}
}
}
}
4,相关java实现方式:
1)查询条件构建:
SearchRequestBuilder builder = client.prepareSearch(index).setTypes(type);
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
TermsBuilder termsBuilder = AggregationBuilders.terms(aggregation.getField());
termsBuilder.field(aggregation.getField());
if(SortConstant.SortASC.equals(aggregation.getOrder())){
termsBuilder.order(Terms.Order.aggregation("_count", true));
}else{
termsBuilder.order(Terms.Order.aggregation("_count", false));
}
termsBuilder.size(aggregation.getSize());
builder.addAggregation(termsBuilder);
2)查询结果返回:
Map> aggrMap = new HashMap>(); List aggregationList = searchCondition.getAggregationList(); if(aggregationList!=null && aggregationList.size() > 0){ for(Aggregation aggregation : aggregationList){ List
5,参考资料:
http://www.cnblogs.com/xing901022/p/4947436.html?utm_source=tuicool&utm_medium=referral
http://blog.csdn.net/xiaohelong2005/article/details/41513985
http://www.cnblogs.com/sha0830/p/5549331.html