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  • ElasticSearch AggregationBuilders java api常用聚会查询

    以球员信息为例,player索引的player type包含5个字段,姓名,年龄,薪水,球队,场上位置。
    index的mapping为:

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    "mappings": {
        "player": {
            "properties": {
                "name": {
                    "index""not_analyzed",
                    "type""string"
                },
                "age": {
                    "type""integer"
                },
                "salary": {
                    "type""integer"
                },
                "team": {
                    "index""not_analyzed",
                    "type""string"
                },
                "position": {
                    "index""not_analyzed",
                    "type""string"
                }
            },
            "_all": {
                "enabled"false
            }
        }
    }

      


    索引中的全部数据:

    微信截图_20160920171030.png


     
    首先,初始化Builder:

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    SearchRequestBuilder sbuilder = client.prepareSearch("player").setTypes("player");

      

    接下来举例说明各种聚合操作的实现方法,因为在es的api中,多字段上的聚合操作需要用到子聚合(subAggregation),初学者可能找不到方法(网上资料比较少,笔者在这个问题上折腾了两天,最后度了源码才彻底搞清楚T_T),后边会特意说明多字段聚合的实现方法。另外,聚合后的排序也会单独说明。

    • group by/count

    例如要计算每个球队的球员数,如果使用SQL语句,应表达如下:

    select team, count(*) as player_count from player group by team;

    ES的java api:

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    TermsBuilder teamAgg= AggregationBuilders.terms("player_count ").field("team");
    sbuilder.addAggregation(teamAgg);
    SearchResponse response = sbuilder.execute().actionGet();

      

    • group by多个field

    例如要计算每个球队每个位置的球员数,如果使用SQL语句,应表达如下:

    select team, position, count(*) as pos_count from player group by team, position;

    ES的java api:

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    TermsBuilder teamAgg= AggregationBuilders.terms("player_count ").field("team");
    TermsBuilder posAgg= AggregationBuilders.terms("pos_count").field("position");
    sbuilder.addAggregation(teamAgg.subAggregation(posAgg));
    SearchResponse response = sbuilder.execute().actionGet();

      

    • max/min/sum/avg

    例如要计算每个球队年龄最大/最小/总/平均的球员年龄,如果使用SQL语句,应表达如下:

    select team, max(age) as max_age from player group by team;

    ES的java api:

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    TermsBuilder teamAgg= AggregationBuilders.terms("player_count ").field("team");
    MaxBuilder ageAgg= AggregationBuilders.max("max_age").field("age");
    sbuilder.addAggregation(teamAgg.subAggregation(ageAgg));
    SearchResponse response = sbuilder.execute().actionGet();

      

    • 对多个field求max/min/sum/avg

    例如要计算每个球队球员的平均年龄,同时又要计算总年薪,如果使用SQL语句,应表达如下:

    select team, avg(age)as avg_age, sum(salary) as total_salary from player group by team;

    ES的java api:

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    TermsBuilder teamAgg= AggregationBuilders.terms("team");
    AvgBuilder ageAgg= AggregationBuilders.avg("avg_age").field("age");
    SumBuilder salaryAgg= AggregationBuilders.avg("total_salary ").field("salary");
    sbuilder.addAggregation(teamAgg.subAggregation(ageAgg).subAggregation(salaryAgg));
    SearchResponse response = sbuilder.execute().actionGet();

      

    • 聚合后对Aggregation结果排序

    例如要计算每个球队总年薪,并按照总年薪倒序排列,如果使用SQL语句,应表达如下:

    select team, sum(salary) as total_salary from player group by team order by total_salary desc;

    ES的java api:

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    TermsBuilder teamAgg= AggregationBuilders.terms("team").order(Order.aggregation("total_salary "false);
    SumBuilder salaryAgg= AggregationBuilders.avg("total_salary ").field("salary");
    sbuilder.addAggregation(teamAgg.subAggregation(salaryAgg));
    SearchResponse response = sbuilder.execute().actionGet();

      

    需要特别注意的是,排序是在TermAggregation处执行的,Order.aggregation函数的第一个参数是aggregation的名字,第二个参数是boolean型,true表示正序,false表示倒序。 

    • Aggregation结果条数的问题

    默认情况下,search执行后,仅返回10条聚合结果,如果想反悔更多的结果,需要在构建TermsBuilder 时指定size:

    TermsBuilder teamAgg= AggregationBuilders.terms("team").size(15);
    • Aggregation结果的解析/输出

    得到response后:

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    Map<String, Aggregation> aggMap = response.getAggregations().asMap();
    StringTerms teamAgg= (StringTerms) aggMap.get("keywordAgg");
    Iterator<Bucket> teamBucketIt = teamAgg.getBuckets().iterator();
    while (teamBucketIt .hasNext()) {
    Bucket buck = teamBucketIt .next();
    //球队名
    String team = buck.getKey();
    //记录数
    long count = buck.getDocCount();
    //得到所有子聚合
    Map subaggmap = buck.getAggregations().asMap();
    //avg值获取方法
    double avg_age= ((InternalAvg) subaggmap.get("avg_age")).getValue();
    //sum值获取方法
    double total_salary = ((InternalSum) subaggmap.get("total_salary")).getValue();
    //...
    //max/min以此类推
    }

      

    • 总结

    综上,聚合操作主要是调用了SearchRequestBuilder的addAggregation方法,通常是传入一个TermsBuilder,子聚合调用TermsBuilder的subAggregation方法,可以添加的子聚合有TermsBuilder、SumBuilder、AvgBuilder、MaxBuilder、MinBuilder等常见的聚合操作。
     
    从实现上来讲,SearchRequestBuilder在内部保持了一个私有的 SearchSourceBuilder实例, SearchSourceBuilder内部包含一个List<AbstractAggregationBuilder>,每次调用addAggregation时会调用 SearchSourceBuilder实例,添加一个AggregationBuilder。
    同样的,TermsBuilder也在内部保持了一个List<AbstractAggregationBuilder>,调用addAggregation方法(来自父类addAggregation)时会添加一个AggregationBuilder。有兴趣的读者也可以阅读源码的实现。

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  • 原文地址:https://www.cnblogs.com/moxiaotao/p/10843523.html
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