springboot整合elasticsearch

一、配置类

    @Bean
    public RestHighLevelClient esRestClient() {

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

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

在测试类测试

二、增加

   @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, GuliESConfig.COMMON_OPTIONS);

        System.out.println(index);

    }

三、获取数据

@Test
    public void find() throws IOException {
        // 1 创建检索请求
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("bank");
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        // 构造检索条件
//        sourceBuilder.query();
//        sourceBuilder.from();
//        sourceBuilder.size();
//        sourceBuilder.aggregation();
        sourceBuilder.query(QueryBuilders.matchQuery("address","mill"));
        System.out.println(sourceBuilder.toString());

        searchRequest.source(sourceBuilder);

        // 2 执行检索
        SearchResponse response = client.search(searchRequest, GuliESConfig.COMMON_OPTIONS);
        // 3 分析响应结果
        System.out.println(response.toString());
    }

{
    "took":198,
    "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":"account",
             "_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":"[email protected]","city":"Lopezo","state":"AK"}
            },
            {"_index":"bank","_type":"account","_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":"[email protected]","city":"Urie","state":"IL"
                       }
            },
            {"_index":"bank","_type":"account","_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":"[email protected]",
                        "city":"Blackgum","state":"KY"
                       }
            },
            {"_index":"bank",
             "_type":"account","_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":"[email protected]","city":"Movico","state":"MT"
                       }
            }
        ]
    }
}

 @Test
    public void find() throws IOException {
        // 1 创建检索请求
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("bank");
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        // 构造检索条件
//        sourceBuilder.query();
//        sourceBuilder.from();
//        sourceBuilder.size();
//        sourceBuilder.aggregation();
        sourceBuilder.query(QueryBuilders.matchQuery("address","mill"));
        //AggregationBuilders工具类构建AggregationBuilder
        // 构建第一个聚合条件:按照年龄的值分布
        TermsAggregationBuilder agg1 = AggregationBuilders.terms("agg1").field("age").size(10);// 聚合名称
// 参数为AggregationBuilder
        sourceBuilder.aggregation(agg1);
        // 构建第二个聚合条件:平均薪资
        AvgAggregationBuilder agg2 = AggregationBuilders.avg("agg2").field("balance");
        sourceBuilder.aggregation(agg2);

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

        searchRequest.source(sourceBuilder);

        // 2 执行检索
        SearchResponse response = client.search(searchRequest, GuliESConfig.COMMON_OPTIONS);
        // 3 分析响应结果
        System.out.println(response.toString());
    }

转换bean

// 3.1 获取java bean
SearchHits hits = response.getHits();
SearchHit[] hits1 = hits.getHits();
for (SearchHit hit : hits1) {
    hit.getId();
    hit.getIndex();
    String sourceAsString = hit.getSourceAsString();
    Account account = JSON.parseObject(sourceAsString, Account.class);
    System.out.println(account);

}

Account(accountNumber=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)
Account(accountNumber=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)
Account(accountNumber=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)
Account(accountNumber=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)

Buckets分析信息

// 3.2 获取检索到的分析信息
Aggregations aggregations = response.getAggregations();
Terms agg21 = aggregations.get("agg2");
for (Terms.Bucket bucket : agg21.getBuckets()) {
    String keyAsString = bucket.getKeyAsString();
    System.out.println(keyAsString);
}

搜索address中包含mill的所有人的年龄分布以及平均年龄，平均薪资

GET bank/_search
{
  "query": {
    "match": {
      "address": "Mill"
    }
  },
  "aggs": {
    "ageAgg": {
      "terms": {
        "field": "age",
        "size": 10
      }
    },
    "ageAvg": {
      "avg": {
        "field": "age"
      }
    },
    "balanceAvg": {
      "avg": {
        "field": "balance"
      }
    }
  }
}