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SpringBoot整合high-level-client

1,导入依赖

版本要和Elasticsearch版本相同

<dependency>
    <groupId>org.elasticsearch.client</groupId>
    <artifactId>elasticsearch-rest-high-level-client</artifactId>
    <version>7.4.2</version>
</dependency>

指定版本

<properties>
    <java.version>1.8</java.version>
    <elasticsearch.version>7.4.2</elasticsearch.version>
</properties>

2,基于Java的Elasticsearch配置

新建类作为Elasticsearch Rest客户端的配置类：

@Configuration
public class GuliESConfig {

    public static final RequestOptions COMMON_OPTIONS;

    static {
        RequestOptions.Builder builder = RequestOptions.DEFAULT.toBuilder();

        COMMON_OPTIONS = builder.build();
    }

    @Bean
    public RestHighLevelClient esRestClient() {

        RestClientBuilder builder = null;
        // 可以指定多个es
        builder = RestClient.builder(new HttpHost("192.168.56.10", 9200, "http"));

        RestHighLevelClient client = new RestHighLevelClient(builder);
        return client;
    }
}

使用：

官方API：https://www.elastic.co/guide/en/elasticsearch/client/java-rest/current/java-rest-high-document-index.html

1，保存数据

@Test
public void indexData() throws IOException {
    
    // 设置索引
    IndexRequest indexRequest = new IndexRequest ("users");
    indexRequest.id("1");

    User user = new User();
    user.setUserName("张三");
    user.setAge(20);
    user.setGender("男");
    String jsonString = JSON.toJSONString(user);
    
    //设置要保存的内容，指定数据和类型
    indexRequest.source(jsonString, XContentType.JSON);
    
    //执行创建索引和保存数据
    IndexResponse index = client.index(indexRequest, GulimallElasticSearchConfig.COMMON_OPTIONS);

    System.out.println(index);

}

2，获取数据

@Test
    public void searchData() throws IOException {
        //1，创建索引请求
        SearchRequest searchRequest = new SearchRequest();
        //指定索引
        searchRequest.indices("bank");
        //指定dsl，检索条件
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        //1.1构造检索条件
        searchSourceBuilder.query(QueryBuilders.matchQuery("address","mill"));

        //1.2按照年龄的值分布进行聚合
        TermsAggregationBuilder ageAgg = AggregationBuilders.terms("ageAgg").field("age").size(100);
        searchSourceBuilder.aggregation(ageAgg);

        //1.3 计算平均薪资
        AvgAggregationBuilder avgAgg = AggregationBuilders.avg("avgAgg").field("balance");
        searchSourceBuilder.aggregation(avgAgg);



        System.out.println("检索条件："+searchSourceBuilder.toString());


        searchRequest.source(searchSourceBuilder);

        //2,执行索引
        SearchResponse searchResponse = client.search(searchRequest, GulimallElasticSearchConfig.COMMON_OPTIONS);

        //3.分析结果
        System.out.println(searchResponse.toString());

        //3.1获取所有查到的数据
        SearchHits hits = searchResponse.getHits();
        SearchHit[] searchHits = hits.getHits();

        for (SearchHit hit : searchHits) {
            String string = hit.getSourceAsString();
            Accout accout = JSON.parseObject(string, Accout.class);
            System.out.println(accout.toString());
        }

        //3.2获取这次检索到的分析信息
        Aggregations aggregations = searchResponse.getAggregations();

        Terms ageAgg1 = aggregations.get("ageAgg");
        for (Terms.Bucket bucket : ageAgg1.getBuckets()) {
            String keyAsString = bucket.getKeyAsString();
            long docCount = bucket.getDocCount();
            System.out.println("年龄："+keyAsString+",数量："+docCount);
        }

        Avg avgAgg1 = aggregations.get("avgAgg");
        System.out.println("平均薪资："+avgAgg1.getValue());


    }

执行结果：

检索条件：{"query":{"match":{"address":{"query":"mill","operator":"OR","prefix_length":0,"max_expansions":50,"fuzzy_transpositions":true,"lenient":false,"zero_terms_query":"NONE","auto_generate_synonyms_phrase_query":true,"boost":1.0}}},"aggregations":{"ageAgg":{"terms":{"field":"age","size":100,"min_doc_count":1,"shard_min_doc_count":0,"show_term_doc_count_error":false,"order":[{"_count":"desc"},{"_key":"asc"}]}},"avgAgg":{"avg":{"field":"balance"}}}}
{"took":3,"timed_out":false,"_shards":{"total":1,"successful":1,"skipped":0,"failed":0},"hits":{"total":{"value":4,"relation":"eq"},"max_score":5.4032025,"hits":[{"_index":"bank","_type":"accout","_id":"970","_score":5.4032025,"_source":{"account_number":970,"balance":19648,"firstname":"Forbes","lastname":"Wallace","age":28,"gender":"M","address":"990 Mill Road","employer":"Pheast","email":"forbeswallace@pheast.com","city":"Lopezo","state":"AK"}},{"_index":"bank","_type":"accout","_id":"136","_score":5.4032025,"_source":{"account_number":136,"balance":45801,"firstname":"Winnie","lastname":"Holland","age":38,"gender":"M","address":"198 Mill Lane","employer":"Neteria","email":"winnieholland@neteria.com","city":"Urie","state":"IL"}},{"_index":"bank","_type":"accout","_id":"345","_score":5.4032025,"_source":{"account_number":345,"balance":9812,"firstname":"Parker","lastname":"Hines","age":38,"gender":"M","address":"715 Mill Avenue","employer":"Baluba","email":"parkerhines@baluba.com","city":"Blackgum","state":"KY"}},{"_index":"bank","_type":"accout","_id":"472","_score":5.4032025,"_source":{"account_number":472,"balance":25571,"firstname":"Lee","lastname":"Long","age":32,"gender":"F","address":"288 Mill Street","employer":"Comverges","email":"leelong@comverges.com","city":"Movico","state":"MT"}}]},"aggregations":{"lterms#ageAgg":{"doc_count_error_upper_bound":0,"sum_other_doc_count":0,"buckets":[{"key":38,"doc_count":2},{"key":28,"doc_count":1},{"key":32,"doc_count":1}]},"avg#avgAgg":{"value":25208.0}}}
GulimallSearchApplicationTests.Accout(account_number=970, balance=19648, firstname=Forbes, lastname=Wallace, age=28, gender=M, address=990 Mill Road, employer=Pheast, email=forbeswallace@pheast.com, city=Lopezo, state=AK)
GulimallSearchApplicationTests.Accout(account_number=136, balance=45801, firstname=Winnie, lastname=Holland, age=38, gender=M, address=198 Mill Lane, employer=Neteria, email=winnieholland@neteria.com, city=Urie, state=IL)
GulimallSearchApplicationTests.Accout(account_number=345, balance=9812, firstname=Parker, lastname=Hines, age=38, gender=M, address=715 Mill Avenue, employer=Baluba, email=parkerhines@baluba.com, city=Blackgum, state=KY)
GulimallSearchApplicationTests.Accout(account_number=472, balance=25571, firstname=Lee, lastname=Long, age=32, gender=F, address=288 Mill Street, employer=Comverges, email=leelong@comverges.com, city=Movico, state=MT)
年龄：38,数量：2
年龄：28,数量：1
年龄：32,数量：1
平均薪资：25208.0
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