ElasticSearch 經常使用聚會查詢

以球員信息爲例,player索引的player type包含5個字段,姓名,年齡,薪水,球隊,場上位置。
index的mapping爲:java

"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
        }
    }
}

索引中的所有數據:
api

首先,初始化Builder:app

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

接下來舉例說明各類聚合操做的實現方法,由於在es的api中,多字段上的聚合操做須要用到子聚合(subAggregation),初學者可能找不到方法(網上資料比較少,筆者在這個問題上折騰了兩天,最後度了源碼才完全搞清楚T_T),後邊會特地說明多字段聚合的實現方法。另外,聚合後的排序也會單獨說明。函數

  • group by/count

例如要計算每一個球隊的球員數,若是使用SQL語句,應表達以下:ui

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

ES的java api:spa

TermsBuilder teamAgg= AggregationBuilders.terms("player_count ").field("team");

sbuilder.addAggregation(teamAgg);

SearchResponse response = sbuilder.execute().actionGet();

  

  • group by多個field

例如要計算每一個球隊每一個位置的球員數,若是使用SQL語句,應表達以下:code

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

ES的java api:xml

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

例如要計算每一個球隊年齡最大/最小/總/平均的球員年齡,若是使用SQL語句,應表達以下:blog

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

ES的java api:排序

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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();

  

 

  • 對多個field求max/min/sum/avg

例如要計算每一個球隊球員的平均年齡,同時又要計算總年薪,若是使用SQL語句,應表達以下:

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();

  

  • 聚合後對Aggregation結果排序

例如要計算每一個球隊總年薪,並按照總年薪倒序排列,若是使用SQL語句,應表達以下:

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();

  

須要特別注意的是,排序是在TermAggregation處執行的,Order.aggregation函數的第一個參數是aggregation的名字,第二個參數是boolean型,true表示正序,false表示倒序。 

  • Aggregation結果條數的問題

默認狀況下,search執行後,僅返回10條聚合結果,若是想反悔更多的結果,須要在構建TermsBuilder 時指定size:

TermsBuilder teamAgg= AggregationBuilders.terms("team").size(15);

 

  • Aggregation結果的解析/輸出

獲得response後:

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();

//球隊名

String team = buck.getKey();

//記錄數

long count = buck.getDocCount();

//獲得全部子聚合

Map subaggmap = buck.getAggregations().asMap();

//avg值獲取方法

double avg_age= ((InternalAvg) subaggmap.get("avg_age")).getValue();

//sum值獲取方法

double total_salary = ((InternalSum) subaggmap.get("total_salary")).getValue();

//...

//max/min以此類推

}

  

  • 總結

綜上,聚合操做主要是調用了SearchRequestBuilder的addAggregation方法,一般是傳入一個TermsBuilder,子聚合調用TermsBuilder的subAggregation方法,能夠添加的子聚合有TermsBuilder、SumBuilder、AvgBuilder、MaxBuilder、MinBuilder等常見的聚合操做。   從實現上來說,SearchRequestBuilder在內部保持了一個私有的 SearchSourceBuilder實例, SearchSourceBuilder內部包含一個List<AbstractAggregationBuilder>,每次調用addAggregation時會調用 SearchSourceBuilder實例,添加一個AggregationBuilder。 一樣的,TermsBuilder也在內部保持了一個List<AbstractAggregationBuilder>,調用addAggregation方法(來自父類addAggregation)時會添加一個AggregationBuilder。有興趣的讀者也能夠閱讀源碼的實現。

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