Spring-data-Elasticsearch聚合查询_spring-data-elasicsearch 4.x aggregation

使用ElasticsearchRepository的话可能会方便，但一些复杂的好像就没法做。
比如:高亮，聚合查询。
聚合查询，比如，mysql的group by..查商品有多少个种类等等...
还得用。ElasticsearchTemplate
使用spring boot 的话直接@Autowired注入就可以使用了

ElasticsearchTemplate使用聚合例子:

NativeSearchQueryBuilder builder=new NativeSearchQueryBuilder();
//    --------                                      terms-分组.这个字段有多少种类的值
ValuesSourceAggregationBuilder s=AggregationBuilders.terms("自定义").field("字段");
        builder.addAggregation(s);
     Aggregations aggregations= template.query(builder.build(), new ResultsExtractor<Aggregations>() {
            @Override
            public Aggregations extract(SearchResponse searchResponse) {
                return searchResponse.getAggregations();
            }
        });
     Map<String, Aggregation> stringAggregationMap=aggregations.asMap();
     System.out.println(stringAggregationMap.get("刚刚自定义的"));

执行结果:

{"group_jxh":{"doc_count_error_upper_bound":0,"sum_other_doc_count":0,"buckets":[
{"key":"哈哈","doc_count":2}, -->哈哈这个值有两个
{"key":"吴彦祖","doc_count":1},
{"key":"宋智孝","doc_count":1},
{"key":"李光洙","doc_count":1},
{"key":"江名才","doc_count":1},
{"key":"江训亚","doc_count":1}
]}}

刚刚上面只是:trems的举例，还有一些方法:

（1）统计某个字段的数量
  ValueCountBuilder vcb=  AggregationBuilders.count("自定义").field("uid");
（2）去重统计某个字段的数量（有少量误差）
 CardinalityBuilder cb= AggregationBuilders.cardinality("distinct_count_uid").field("uid");
（3）聚合过滤
FilterAggregationBuilder fab= AggregationBuilders.filter("uid_filter").filter(QueryBuilders.queryStringQuery("uid:001"));
（4）按某个字段分组
TermsBuilder tb=  AggregationBuilders.terms("group_name").field("name");
（5）求和
SumBuilder  sumBuilder=	AggregationBuilders.sum("sum_price").field("price");
（6）求平均
AvgBuilder ab= AggregationBuilders.avg("avg_price").field("price");
（7）求最大值
MaxBuilder mb= AggregationBuilders.max("max_price").field("price"); 
（8）求最小值
MinBuilder min=	AggregationBuilders.min("min_price").field("price");
（9）按日期间隔分组
DateHistogramBuilder dhb= AggregationBuilders.dateHistogram("dh").field("date");
（10）获取聚合里面的结果
TopHitsBuilder thb=  AggregationBuilders.topHits("top_result");
（11）嵌套的聚合
NestedBuilder nb= AggregationBuilders.nested("negsted_path").path("quests");
（12）反转嵌套
AggregationBuilders.reverseNested("res_negsted").path("kps ");

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