springboot中使用ElasticSearch

引入依赖

修改我们的pom.xml，加入spring-boot-starter-data-elasticsearch

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

编写配置文件

由于ElasticSearch从7.x版本开始淡化TransportClient甚至于在8.x版本中遗弃，所以spring data elasticsearch推荐我们使用rest客户端RestHingLevelClient（端口号使用9200）以及接口ElasticSearchRespositoy。

• RestHighLevelClient 更强大，更灵活，但是不能友好的操作对象
• ElasticSearchRepository 对象操作友好
  首先我们编写配置文件如下

@Configuration
public class ElasticSearchRestClientConfig extends AbstractElasticsearchConfiguration{
    
  	@Override
    @Bean
    public RestHighLevelClient elasticsearchClient() {
        final ClientConfiguration clientConfiguration = ClientConfiguration.builder()
                .connectedTo("192.168.8.101:9200")
                .build();
        return RestClients.create(clientConfiguration).rest();
    }

}

RestHighLevelClient方式

有了上面的rest client，我们就可以在其他的地方注入该客户端对ElasticSearch进行操作。我们新建一个测试文件，使用客户端对ElasticSearch进行基本的操作

1. 注入RestClient

/**
 * ElasticSearch Rest client操作
 *
 * RestHighLevelClient 更强大，更灵活，但是不能友好的操作对象
 * ElasticSearchRepository 对象操作友好
 *
 * 我们使用rest client 主要测试文档的操作
 **/
@SpringBootTest
public class TestRestClient {
    // 复杂查询使用：比如高亮查询
    @Autowired
    private RestHighLevelClient restHighLevelClient;
}

2. 插入一条文档

/**
 * 新增一条文档
 */
@Test
public void testAdd() throws IOException {
    /**
      * 向ES中的索引christy下的type类型中添加一天文档
      */
    IndexRequest indexRequest = new IndexRequest("christy","user","11");
    indexRequest.source("{\"name\":\"齐天大圣孙悟空\",\"age\":685,\"bir\":\"1685-01-01\",\"introduce\":\"花果山水帘洞美猴王齐天大圣孙悟空是也！\"," +
                        "\"address\":\"花果山\"}", XContentType.JSON);
    IndexResponse indexResponse = restHighLevelClient.index(indexRequest, RequestOptions.DEFAULT);
    System.out.println(indexResponse.status());
}

我们可以看到文档插入成功，我们去kibana中查询该条文档

3. 删除一条文档

/**
 * 删除一条文档
 */
@Test
public void deleteDoc() throws IOException {
    // 我们把特朗普删除了
    DeleteRequest deleteRequest = new DeleteRequest("christy","user","rYBNG3kBRz-Sn-2f3ViU");
    DeleteResponse deleteResponse = restHighLevelClient.delete(deleteRequest, RequestOptions.DEFAULT);
    System.out.println(deleteResponse.status());
  }
}

4. 更新一条文档

/**
 * 更新一条文档
 */
@Test
public void updateDoc() throws IOException {
    UpdateRequest updateRequest = new UpdateRequest("christy","user","p4AtG3kBRz-Sn-2fMFjj");
    updateRequest.doc("{\"name\":\"调皮捣蛋的hardy\"}",XContentType.JSON);
    UpdateResponse updateResponse = restHighLevelClient.update(updateRequest, RequestOptions.DEFAULT);
    System.out.println(updateResponse.status());
}

5. 批量更新文档

/**
 * 批量更新
 */
@Test
public void bulkUpdate() throws IOException {
    BulkRequest bulkRequest = new BulkRequest();
    // 添加
    IndexRequest indexRequest = new IndexRequest("christy","user","13");
    indexRequest.source("{\"name\":\"天蓬元帅猪八戒\",\"age\":985,\"bir\":\"1685-01-01\",\"introduce\":\"天蓬元帅猪八戒因调戏嫦娥被贬下凡\",\"address\":\"高老庄\"}", XContentType.JSON);
    bulkRequest.add(indexRequest);

    // 删除
    DeleteRequest deleteRequest01 = new DeleteRequest("christy","user","pYAtG3kBRz-Sn-2fMFjj");
    DeleteRequest deleteRequest02 = new DeleteRequest("christy","user","uhTyGHkBExaVQsl4F9Lj");
    DeleteRequest deleteRequest03 = new DeleteRequest("christy","user","C8zCGHkB5KgTrUTeLyE_");
    bulkRequest.add(deleteRequest01);
    bulkRequest.add(deleteRequest02);
    bulkRequest.add(deleteRequest03);

    // 修改
    UpdateRequest updateRequest = new UpdateRequest("christy","user","10");
    updateRequest.doc("{\"name\":\"炼石补天的女娲\"}",XContentType.JSON);
    bulkRequest.add(updateRequest);

    BulkResponse bulkResponse = restHighLevelClient.bulk(bulkRequest, RequestOptions.DEFAULT);
    BulkItemResponse[] items = bulkResponse.getItems();
    for (BulkItemResponse item : items) {
      System.out.println(item.status());
    }
}

6. 查询文档

@Test
public void testSearch() throws IOException {
    //创建搜索对象
    SearchRequest searchRequest = new SearchRequest("christy");
    //搜索构建对象
    SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

    searchSourceBuilder.query(QueryBuilders.matchAllQuery())//执行查询条件
      .from(0)//起始条数
      .size(10)//每页展示记录
      .postFilter(QueryBuilders.matchAllQuery()) //过滤条件
      .sort("age", SortOrder.DESC);//排序

    //创建搜索请求
    searchRequest.types("user").source(searchSourceBuilder);

    SearchResponse searchResponse = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);

    System.out.println("符合条件的文档总数: "+searchResponse.getHits().getTotalHits());
    System.out.println("符合条件的文档最大得分: "+searchResponse.getHits().getMaxScore());
    SearchHit[] hits = searchResponse.getHits().getHits();
    for (SearchHit hit : hits) {
      System.out.println(hit.getSourceAsMap());
    }
}