ElasticSearch-SpringBoot整合ElasticSearch_springboot 配置es

六、SpringBoot整合ElasticSearch

1、浏览官方文档

1、查找跟ES客户端相关的文档

使用Java REST Client

选择Java Hight Level REST Client

2、创建项目的准备

1.找到原生的依赖

2.找到对象

3.分析这个类里面的方法

3、正式创建项目

1.创建工程

2.导入依赖

注意依赖版本和安装的版本一致

<properties>
    <java.version>1.8</java.version>
    <!-- 统一版本 -->
    <elasticsearch.version>7.6.1</elasticsearch.version>
</properties>
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导入elasticsearch

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-data-elasticsearch</artifactId>
</dependency>
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提前导入fastjson、lombok

<dependency>
    <groupId>com.alibaba</groupId>
    <artifactId>fastjson</artifactId>
    <version>1.2.70</version>
</dependency>
<!-- lombok需要安装插件 -->
<dependency>
    <groupId>org.projectlombok</groupId>
    <artifactId>lombok</artifactId>
    <optional>true</optional>
</dependency>
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分析依赖

①导入的依赖使用的transport是6.8.6的，版本太低，需要重新导入

②找到ES的版本的默认配置，进行手动配置

③自定义配置es版本依赖，保证和本地的一致

④查看重新导入的依赖

3.创建并编写配置类

@Configuration
public class ElasticSearchConfig {
    // 注册 rest高级客户端 
    @Bean
    public RestHighLevelClient restHighLevelClient(){
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(
                        new HttpHost("127.0.0.1",9200,"http")
                )
        );
        return client;
    }
}
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分析源码(Au、PS)

①先找到Au，自动配置类

②先找到es目录，查看包下的静态类

③也可以在data目录下，查找封装的所有方法类

④核心配置类

4、创建并编写实体类

@Data
@NoArgsConstructor
@AllArgsConstructor
public class User implements Serializable {
    private static final long serialVersionUID = -3843548915035470817L;
    private String name;
    private Integer age;
}
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5、编写测试类

所有测试均在 SpringbootElasticsearchApplicationTests中编写

注入 RestHighLevelClient

@Autowired
public RestHighLevelClient restHighLevelClient;
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6、索引的操作

1）索引的创建

// 测试索引的创建， Request PUT lbj_index
@Test
public void testCreateIndex() throws IOException {
    CreateIndexRequest request = new CreateIndexRequest("lbj_index");
    CreateIndexResponse response = restHighLevelClient.indices().create(request, RequestOptions.DEFAULT);
    System.out.println(response.isAcknowledged());// 查看是否创建成功
    System.out.println(response);// 查看返回对象
    restHighLevelClient.close();
}
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2）索引的获取，并判断其是否存在

// 测试获取索引，并判断其是否存在
@Test
public void testIndexIsExists() throws IOException {
    GetIndexRequest request = new GetIndexRequest("index");
    boolean exists = restHighLevelClient.indices().exists(request, RequestOptions.DEFAULT);
    System.out.println(exists);// 索引是否存在
    restHighLevelClient.close();
}
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3）索引的删除

// 测试索引删除
@Test
public void testDeleteIndex() throws IOException {
    DeleteIndexRequest request = new DeleteIndexRequest("lbj_index");
    AcknowledgedResponse response = restHighLevelClient.indices().delete(request, RequestOptions.DEFAULT);
    System.out.println(response.isAcknowledged());// 是否删除成功
    restHighLevelClient.close();
}
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7、文档的操作

1）文档的添加

// 测试添加文档(先创建一个User实体类，添加fastjson依赖)
@Test
public void testAddDocument() throws IOException {
    // 创建一个User对象
    User lbj= new User("lbj", 18);
    // 创建请求
    IndexRequest request = new IndexRequest("lbj_index");
    // 制定规则 PUT /lbj_index/_doc/1
    request.id("1");// 设置文档ID
    request.timeout(TimeValue.timeValueMillis(1000));// request.timeout("1s")
    // 将我们的数据放入请求中
    request.source(JSON.toJSONString(lbj), XContentType.JSON);
    // 客户端发送请求，获取响应的结果
    IndexResponse response = restHighLevelClient.index(request, RequestOptions.DEFAULT);
    System.out.println(response.status());// 获取建立索引的状态信息 CREATED
    System.out.println(response);// 查看返回内容 IndexResponse[index=lbj_index,type=_doc,id=1,version=1,result=created,seqNo=0,primaryTerm=1,shards={"total":2,"successful":1,"failed":0}]
}
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2）文档信息的获取

// 测试获得文档信息
@Test
public void testGetDocument() throws IOException {
    GetRequest request = new GetRequest("lbj_index","1");
    GetResponse response = restHighLevelClient.get(request, RequestOptions.DEFAULT);
    System.out.println(response.getSourceAsString());// 打印文档内容
    System.out.println(request);// 返回的全部内容和命令是一样的
    restHighLevelClient.close();
}
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3）文档的获取，并判断其是否存在

// 获取文档，判断是否存在 get /lbj_index/_doc/1
@Test
public void testDocumentIsExists() throws IOException {
    GetRequest request = new GetRequest("lbj_index", "1");
    // 不获取返回的 _source的上下文了
    request.fetchSourceContext(new FetchSourceContext(false));
    request.storedFields("_none_");
    boolean exists = restHighLevelClient.exists(request, RequestOptions.DEFAULT);
    System.out.println(exists);
}
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4）文档的更新

// 测试更新文档内容
@Test
public void testUpdateDocument() throws IOException {
    UpdateRequest request = new UpdateRequest("lbj_index", "1");
    User user = new User("lmk",11);
    request.doc(JSON.toJSONString(user),XContentType.JSON);
    UpdateResponse response = restHighLevelClient.update(request, RequestOptions.DEFAULT);
    System.out.println(response.status()); // OK
    restHighLevelClient.close();
}
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5）文档的删除

// 测试删除文档
@Test
public void testDeleteDocument() throws IOException {
    DeleteRequest request = new DeleteRequest("lbj_index", "1");
    request.timeout("1s");
    DeleteResponse response = restHighLevelClient.delete(request, RequestOptions.DEFAULT);
    System.out.println(response.status());// OK
}
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6）批量添加数据

前面的操作都无法批量添加数据

// 上面的这些api无法批量增加数据（只会保留最后一个source）
@Test
public void test() throws IOException {
    IndexRequest request = new IndexRequest("bulk");// 没有id会自动生成一个随机ID
    request.source(JSON.toJSONString(new User("liu",1)),XContentType.JSON);
    request.source(JSON.toJSONString(new User("min",2)),XContentType.JSON);
    request.source(JSON.toJSONString(new User("kai",3)),XContentType.JSON);
    IndexResponse index = restHighLevelClient.index(request, RequestOptions.DEFAULT);
    System.out.println(index.status());// created
}
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大数据情况下，都是使用随机的id

// 特殊的，真的项目一般会 批量插入数据
@Test
public void testBulk() throws IOException {
    BulkRequest bulkRequest = new BulkRequest();
    bulkRequest.timeout("10s");
    ArrayList<User> users = new ArrayList<>();
    users.add(new User("lbj-1",1));
    users.add(new User("lbj-2",2));
    users.add(new User("lbj-3",3));
    users.add(new User("lbj-4",4));
    users.add(new User("lbj-5",5));
    users.add(new User("lbj-6",6));
    // 批量请求处理
    for (int i = 0; i < users.size(); i++) {
        bulkRequest.add(
                // 这里是数据信息
                new IndexRequest("bulk")
                        .id(""+(i + 1)) // 没有设置id 会自定生成一个随机id
                        .source(JSON.toJSONString(users.get(i)),XContentType.JSON)
        );
    }
    BulkResponse bulk = restHighLevelClient.bulk(bulkRequest, RequestOptions.DEFAULT);
    System.out.println(bulk.status());// ok
}
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7）文档的查询

// 查询
// SearchRequest 搜索请求
// SearchSourceBuilder 条件构造
// HighlightBuilder 高亮
// TermQueryBuilder 精确查询
// MatchAllQueryBuilder
// xxxQueryBuilder ...
@Test
public void testSearch() throws IOException {
    // 1.创建查询请求对象
    SearchRequest searchRequest = new SearchRequest();
    // 2.构建搜索条件
    SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
    // (1)查询条件 使用QueryBuilders工具类创建
    // 精确查询
    TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("name", "lbj");
    //        // 匹配查询
    //        MatchAllQueryBuilder matchAllQueryBuilder = QueryBuilders.matchAllQuery();
    // (2)其他<可有可无>：（可以参考 SearchSourceBuilder 的字段部分）
    // 设置高亮
    searchSourceBuilder.highlighter(new HighlightBuilder());
    //        // 分页
    //        searchSourceBuilder.from();
    //        searchSourceBuilder.size();
    searchSourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));
    // (3)条件投入
    searchSourceBuilder.query(termQueryBuilder);
    // 3.添加条件到请求
    searchRequest.source(searchSourceBuilder);
    // 4.客户端查询请求
    SearchResponse search = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
    // 5.查看返回结果
    SearchHits hits = search.getHits();
    System.out.println(JSON.toJSONString(hits));
    System.out.println("=======================");
    for (SearchHit documentFields : hits.getHits()) {
        System.out.println(documentFields.getSourceAsMap());
    }
}
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ElasticSearch-SpringBoot整合ElasticSearch 到此完结，笔者归纳、创作不易，大佬们给个3连再起飞吧