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  • SQL to Java code for Elasticsearch

    Elasticsearch虽然定位为Search Engine,但是因其可以持久化数据,很多时候,我们把Elasticsearch当成Database用,但是Elasticsearch不支持SQL,就需要把SQL逻辑转换成代码实现对应的功能。

    以下列举了一些常用的SQL转换成对应的Java代码。

    1.按某个field group by查询count

    SELECT  
    fieldA, COUNT(fieldA)
    from table   
    WHERE fieldC = "hoge" 
    AND fieldD = "huga" 
    AND fieldB > 10
    AND fieldB < 100 
    group by fieldA;

    对应的java code:

    SearchRequestBuilder searchReq = client.prepareSearch("sample_index");
    searchReq.setTypes("sample_types");
    TermsBuilder termsb = AggregationBuilders.terms("my_fieldA").field("fieldA").size(100);
    
    BoolFilterBuilder bf = FilterBuilders.boolFilter();
    TermFilterBuilder tf_fieldC = FilterBuilders.termFilter("fieldC","hoge");
    TermFilterBuilder tf_fieldD = FilterBuilders.termFilter("fieldD","huga");
    bf.must(tf_fieldC);
    bf.must(tf_fieldD);
    
    RangeFilterBuilder rangefieldBFilter = FilterBuilders.rangeFilter("fieldB")
                    .gt(10)
                    .lt(100);
    
    searchReq.setQuery(QueryBuilders.filteredQuery(QueryBuilders.matchAllQuery(),
                        FilterBuilders.andFilter(bf, rangefieldBFilter))).addAggregation(
                        termsb);
    SearchResponse searchRes = searchReq.execute().actionGet();
    
    Terms fieldATerms = searchRes.getAggregations().get("my_fieldA");
    for (Terms.Bucket filedABucket : fieldATerms.getBuckets()) {
        //fieldA
        String fieldAValue = filedABucket.getKey();
        
        //COUNT(fieldA)
        long fieldACount = filedABucket.getDocCount();
    }

    2. 按某个field 和 date group by 并查询另一个filed的sum,时间统计图,时间间隔是1天。

    SELECT  
    DATE(create_at), fieldA, SUM(fieldB) 
    from table   
    group by DATE(create_at), fieldA;

    对应的java code:

    SearchRequestBuilder searchReq = client.prepareSearch("sample_index");
    searchReq.setTypes("sample_types");
    DateHistogramBuilder dhb = AggregationBuilders.dateHistogram("my_datehistogram").field("create_at").interval(DateHistogram.Interval.days(1));
    TermsBuilder termsb_fa = AggregationBuilders.terms("my_fieldA").field("fieldA").size(100);
    termsb_fa.subAggregation(AggregationBuilders.sum("my_sum_fieldB").field("fieldB"));
    dhb.subAggregation(termsb_fa)
    
    searchReq.setQuery(QueryBuilders.matchAllQuery()).addAggregation(dhb);
    SearchResponse searchRes = searchReq.execute().actionGet();
    
    DateHistogram dateHist = searchRes.getAggregations().get("my_datehistogram");
    for (DateHistogram.Bucket dateBucket : dateHist.getBuckets()) {
        //DATE(create_at)
        String create_at = dateentry.getKey();
        Terms fieldATerms = dateBucket.getAggregations().get("my_fieldA");
        for (Terms.Bucket filedABucket : fieldATerms.getBuckets()) {
            //fieldA
            String fieldAValue = filedABucket.getKey();
            
            //SUM(fieldB)
            Sum sumagg = filedABucket.getAggregations().get("my_sum_fieldB");
            long sumFieldB = (long)sumagg.getValues();
        }
    }

    3. 按两个field group by并查询第三个filed的sum

    SELECT  
    fieldA, fieldC, SUM(fieldB)
    from table   
    group by fieldA, fieldC;

    对应的java code:

    SearchRequestBuilder searchReq = client.prepareSearch("sample_index");
    searchReq.setTypes("sample_types");
    
    TermsBuilder termsb_fa = AggregationBuilders.terms("my_fieldA").field("fieldA").size(100);
    TermsBuilder termsb_fc = AggregationBuilders.terms("my_fieldC").field("fieldC").size(50);
    
    termsb_fc.subAggregation(AggregationBuilders.sum("my_sum_fieldB").field("fieldB"));
    termsb_fa.subAggregation(termsb_fc)
    
    searchReq.setQuery(QueryBuilders.matchAllQuery()).addAggregation(termsb_fa);
    SearchResponse searchRes = searchReq.execute().actionGet();
    
    Terms fieldATerms = searchRes.getAggregations().get("my_fieldA");
    for (Terms.Bucket filedABucket : fieldATerms.getBuckets()) {
        //fieldA
        String fieldAValue = filedABucket.getKey();
        Terms fieldCTerms = filedABucket.getAggregations().get("my_fieldC");
        for (Terms.Bucket filedCBucket : fieldCTerms.getBuckets()) {
            //fieldC
            String fieldCValue = filedCBucket.getKey();
            
            //SUM(fieldB)
            Sum sumagg = filedCBucket.getAggregations().get("my_sum_fieldB");
            long sumFieldB = (long)sumagg.getValues();
        }
    }

    4. 按某个filed group by 并查询count、sum 和 average

    SELECT  
    fieldA, COUNT(fieldA), SUM(fieldB), AVG(fieldB) 
    from table   
    group by fieldA;

    对应的java code:

    SearchRequestBuilder searchReq = client.prepareSearch("sample_index");
    searchReq.setTypes("sample_types");
    
    TermsBuilder termsb = AggregationBuilders.terms("my_fieldA").field("fieldA").size(100);
    termsb.subAggregation(AggregationBuilders.sum("my_sum_fieldB").field("fieldB"));
    termsb.subAggregation(AggregationBuilders.avg("my_avg_fieldB").field("fieldB"));
    
    searchReq.setQuery(QueryBuilders.matchAllQuery()).addAggregation(termsb);
    SearchResponse searchRes = searchReq.execute().actionGet();
    Terms fieldATerms = searchRes.getAggregations().get("my_fieldA");
    for (Terms.Bucket filedABucket : fieldATerms.getBuckets()) {
        //fieldA
        String fieldAValue = filedABucket.getKey();
        
        //COUNT(fieldA)
        long fieldACount = filedABucket.getDocCount();
        
        //SUM(fieldB)
        Sum sumagg = filedABucket.getAggregations().get("my_sum_fieldB");
        long sumFieldB = (long)sumagg.getValues();
        
        //AVG(fieldB)
        Avg avgagg = filedABucket.getAggregations().get("my_avg_fieldB");
        double avgFieldB = avgagg.getValues();
    }

    5. 按某个field group by 并按另一个filed的Sum排序,获取前10

    SELECT  
    fieldA, SUM(fieldB)
    from table
    WHERE fieldC = "hoge" 
    group by fieldA
    order by SUM(fieldB) DESC
    limit 10;

    对应的java code:

    QueryBuilder termsc = QueryBuilders.termQuery("fieldC","hoge");
    QueryBuilder queryBuilder = QueryBuilders.boolQuery().must(termsc);
    TermsAggregationBuilder aggregationBuilder = AggregationBuilders.terms("my_fieldA").field("fieldA").size(10);
    aggregationBuilder.subAggregation(AggregationBuilders.sum("my_sum_fieldB").field("fieldB"));
    aggregationBuilder.order(Order.aggregation("my_sum_fieldB", false));
    SearchResponse searchResponse = client.prepareSearch("sample_index").setQuery(queryBuilder).addAggregation(aggregationBuilder).execute().actionGet();
    Terms terms = searchResponse.getAggregations().get("my_fieldA");
    for (Terms.Bucket entry : terms.getBuckets()) {
        String fieldAValue = entry.getKey().toString();
    
        Sum sumagg = entry.getAggregations().get("my_sum_fieldB");
        double fieldValue = sumagg.getValue();
    }

    代码在GitHub上:https://github.com/luxiaoxun/Code4Java

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  • 原文地址:https://www.cnblogs.com/luxiaoxun/p/6826211.html
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