java api elasticsearch5.X 查询聚合

//indexName索引名称，typeName类型名称
//查询所有用户名以张开头的用户
BoolQueryBuilder queryBuilder = QueryBuilders.boolQuery()
    .must(QueryBuilders.prefixQuery("name", "张"));
/根据name字段聚合，聚合结果名称为aggName
TermsBuilder termsAgg = AggregationBuilders.terms("aggName").field("name");

//进行查询聚合操作
SearchResponse response = Client.prepareSearch("indexName").setTypes("typeName")
                .setSearchType(SearchType.DFS_QUERY_THEN_FETCH)
                .setQuery(queryBuilder)
                .addAggregation(termsAgg)
                .setSize(0)
                .get();

1.查询接口

---构建查询,查询name为张三的所有数据
BoolQueryBuilder queryBuilder = QueryBuilders.boolQuery();
----must接必要条件
queryBuilder.must(queryBuilder.termQuery("name","张三");)

//精准查询,查询name为张三的数据
queryBuilder.termQuery("name","张三");

//多词匹配，匹配name为张三或者李四的数据
queryBuilder.termsQuery("name",new String[]{"张三", "李四"});

//前缀匹配，匹配name以张开头的数据
queryBuilder.prefixQuery("name","张");

//范围匹配，匹配time在startTime和endTime范围内的数据  get大于等于 lte小于等于
//--时间范围匹配,结果转换格式yyyy-MM-dd HH:mm:ss
QueryBuilders.rangeQuery("time").format("yyyy-MM-dd HH:mm:ss").gte(startTime).lte(endTime);
//--普通数据匹配
QueryBuilders.rangeQuery("time").gte(startTime).lte(endTime);

//存在匹配，匹配所有存在name字段的数据
QueryBuilders.existsQuery("name");

//正则匹配，匹配所有正则表达式匹配的内容
QueryBuilders.regexpQuery("name","正则表达式");

//通配符匹配,匹配name字段所有以洋结尾的数据的数据
QueryBuilders.wildcardQuery("name","*洋")

2.聚合接口

//Terms聚合,根据name字段做聚合，一般作为多重聚合第一层使用
TermsBuilder field = AggregationBuilders.terms("termsAgg").field("name");
//获取返回结果
Terms agg = response.getAggregations().get("termsAgg")
String name = agg.getBuckets().get(i).getKey();


//sum聚合,求所有score字段之和
SumAggregationBuilder sumAgg = AggregationBuilders.sum("scoreAgg").field("score");
//获取返回结果
InternalSum agg = response.getAggregations().get("scoreAgg");
int sumNum = (int)agg.getValue(); 


//count聚合，求总个数
ValueCountBuilder countAgg = AggregationBuilders.count("countAgg").field("name");
//获取返回结果
InternalValueCount agg = response.getAggregations().get("countAgg");
int countNum = (int)agg.getValue(); 


//直方图聚合,求按月聚合，每月的数量，通常和count或者sum一起多层聚合使用
DateHistogramAggregationBuilder dateHisAgg = AggregationBuilders.dateHistogram("timeAGG").field("time").format("yyyy年MM月")
                    .dateHistogramInterval(DateHistogramInterval.MONTH).minDocCount(0)
                    .extendedBounds(new ExtendedBounds(start, end));
//与sum聚合一起用
dateHisAgg.subAggregation(sumAgg);
//返回结果
InternalDateHistogram agg = response.getAggregations().get("timeAGG");
//遍历，返回日志和数量
 for (int j = 0; j < agg.getBuckets().size(); j++) {
        String edate = agg.getBuckets().get(j).getKeyAsString();
        InternalSum agg1 = agg.getBuckets().get(j).getAggregations().get("sumAgg");
        int sumNum = (int) agg1.getValue();      
 }
            


//去重聚合，在基数为100-40000的前提下，能够基本准确。
CardinalityBuilder cardAgg= AggregationBuilders.cardinality("cardAgg").field("name");
//返回结果
Cardinality agg = response.getAggregations().get("cardAgg");
agg .getValue();

//根据聚合的结果排序,根据name聚合求score总分数，然后根据总分数进行倒序排序
.addAggregation(AggregationBuilders.terms("termsAgg").field("name")
                .order(Terms.Order.aggregation("sumAgg", "value", false))                        
    .subAggregation(AggregationBuilders.sum("sumAgg").field("score"))
 )

来源：CSDN

作者：冯囧囧

链接：https://blog.csdn.net/weixin_42699857/article/details/104038801

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response

api接口