elasticsearchspringbootElaticsearch进阶

Elasticsearch基础之:springboot整合ela

2018-03-14  本文已影响132人  staconfree

1、springboot 集成elasticsearch

1.1、pom文件引入

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-elasticsearch</artifactId>
        </dependency>

1.2、配置文件application.xml加入

   # 集群名
spring.data.elasticsearch.cluster-name=elasticsearch
   # 连接节点,注意在集群中通信都是9300端口,否则会报错无法连接上!
spring.data.elasticsearch.cluster-nodes=10.1.109.163:9300
   # 是否本地连接
spring.data.elasticsearch.local=false
    # 仓库中数据存储
spring.data.elasticsearch.repositories.enabled=true

2、springboot 调用elasticsearch的多种方式

2.1、使用对象方式,类似mybatis的处理

import lombok.Getter;
import lombok.Setter;
import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.Document;

@Document(indexName = "es-customer", type = "customer", shards = 2, replicas = 1, refreshInterval = "-1")
@Getter
@Setter
public class Customer {
    @Id
    private String id;
    private String firstName;
    private String lastName;

    @Override
    public String toString() {
        return String.format("Customer[id=%s, firstName='%s', lastName='%s']", this.id,
                this.firstName, this.lastName);
    }
}

import org.springframework.data.domain.Page;
import org.springframework.data.domain.Pageable;
import org.springframework.data.elasticsearch.repository.ElasticsearchRepository;
import java.util.List;

public interface CustomerRepository extends ElasticsearchRepository<Customer, String>  {
    public List<Customer> findByFirstName(String firstName);
    public Page<Customer> findByLastName(String lastName, Pageable page);
    public List<Customer> findByFirstNameAndLastName(String firstName,String lastName);
}

其中,分页Pageable的构造方法是:Pageable pageable = new PageRequest(pageNumber, pageSize);
更多使用方法参考:
https://github.com/spring-projects/spring-data-elasticsearch
深入浅出 spring-data-elasticsearch – 实战案例详解(四)

这样,就可以使用autowired来注入Repository实例
@Autowired
private CustomerRepository repository;

2.2、使用TransportClient操作ES

@Autowired
private TransportClient transportClient;

IndexResponse indexResponse = transportClient  
                .prepareIndex(index, type, "3").setSource(source).get();  
System.out.println(indexResponse.getVersion());  

其中source可以是jsonString,Map,XContentBuilder等对象

UpdateResponse updateResponse = transportClient  
                .prepareUpdate(index, type, "6").setDoc(source).get();  
System.out.println(updateResponse.getVersion());  
DeleteResponse deleteResponse = transportClient.prepareDelete(index,  
                type, id).get();  
System.out.println(deleteResponse.getVersion());  

根据Id查询

GetResponse getResponse = transportClient.prepareGet(index, type, "1").get();  
System.out.println(getResponse.getSourceAsString());  

复杂的条件查询SearchResponse

        SearchResponse searchResponse = transportClient.prepareSearch("es-customer")
                .setTypes("customer")
                .setQuery(QueryBuilders.matchAllQuery()) //查询所有
                //.setQuery(QueryBuilders.matchQuery("name", "tom").operator(Operator.AND)) //根据tom分词查询name,默认or
                //.setQuery(QueryBuilders.multiMatchQuery("tom", "name", "age")) //指定查询的字段
                //.setQuery(QueryBuilders.queryString("name:to* AND age:[0 TO 19]")) //根据条件查询,支持通配符大于等于0小于等于19
                //.setQuery(QueryBuilders.termQuery("name", "tom"))//查询时不分词
                .setSearchType(SearchType.QUERY_THEN_FETCH)
                .setFrom(0).setSize(10)//分页
                .addSort("lastName", SortOrder.DESC)//排序
                .get();
        SearchHits hits = searchResponse.getHits();
        long total = hits.getTotalHits();
        System.out.println(total);
        SearchHit[] searchHits = hits.hits();
        for(SearchHit s : searchHits)
        {
            System.out.println(s.getSourceAsString());
        }

参考

详解spring-boot集成elasticsearch及其简单应用

https://github.com/whiney/springboot-elasticsearch
https://github.com/adalaohu/springboot-elasticSearch

Elasticsearch笔记五之java操作es

二、Elasticsearch的功能、使用场景以及特点

https://github.com/spring-projects/spring-data-elasticsearch

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