ES 去重/聚合查询

import org.apache.http.HttpHost;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestClientBuilder;
import org.elasticsearch.client.RestHighLevelClient;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;


@Configuration
public class EsClientConfig {

    @Value("${es.url}")
    private String[] esUrls;
    @Value("${es.username}")
    private String esUserName;
    @Value("${es.password}")
    private String esPassword;

    @Bean
    public RestHighLevelClient restHighLevelClient() {
        // 测试
        RestClientBuilder builder = RestClient.builder(new HttpHost("192.168.202.128", 9200, "http"));
        RestClient client = builder.build();
        RestHighLevelClient restHighLevelClient = new RestHighLevelClient(client);
        return restHighLevelClient;
        //账号密码连接
       
    }

}

去重查询

 @Resource
 private RestHighLevelClient client;

 @Test
    void contextLoads() throws Exception {
        SearchRequest request = new SearchRequest();
        request.indices("students").types("student");
        // 构建搜索条件
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        //指定去重字段
        CollapseBuilder collapseBuilder = new CollapseBuilder("name.keyword");
        // 查询去重后的结果数量
        CardinalityAggregationBuilder aggregationBuilder = AggregationBuilders.cardinality("name").field("name.keyword");
        sourceBuilder.collapse(collapseBuilder);
        sourceBuilder.aggregation(aggregationBuilder);
        sourceBuilder.size(1000);
        request.source(sourceBuilder);

        SearchResponse response = client.search(request);
        System.out.println(JSON.toJSONString(response.getAggregations()));
        SearchHits hits = response.getHits();
        System.out.println(hits.getHits().length);
        System.out.println(JSON.toJSONString(hits));
        for (SearchHit hit : hits) {
            System.out.println(JSON.toJSONString(hit.getSource()));
        }

    }

聚合取值 、重点获取桶内数据

 @Test
    void contextLoads() throws Exception {
        SearchRequest request = new SearchRequest();
      // 设置索引和type
      //  request.indices("students").types("student");
        // 构建搜索条件
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
      // 分组，排序 ：key 和 hit 为自定义，第二个参数为 条件查询字段
        TermsAggregationBuilder terms = AggregationBuilders.terms("key").field("recText.keyword")
                .subAggregation(AggregationBuilders.topHits("hit").sort("statisDate.keyword", SortOrder.DESC));
        sourceBuilder.aggregation(terms);
        sourceBuilder.size(1000);
        request.source(sourceBuilder);
        SearchResponse response = client.search(request);
        Long hs = response.getHits().getTotalHits();
        System.out.println(hs);

        ParsedTerms terms1 = (ParsedTerms) response.getAggregations().getAsMap().get("key");
        List list = (List) terms1.getBuckets();
        for (ParsedTerms.ParsedBucket parsedBucket : list) {
            System.out.println(parsedBucket.getKeyAsString());
            ParsedTopHits topHits = parsedBucket.getAggregations().get("hit");
            SearchHit hit = topHits.getHits().getHits()[0];
            String time = hit.getSourceAsMap().get("createTime").toString();
            System.out.println(time);
            return;
        }