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进行基本的操作文章来源:https://www.toymoban.com/news/detail-796893.html
- 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;
}
- 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. 删除一条文档文章来源地址https://www.toymoban.com/news/detail-796893.html
/**
* 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());
}
}
- 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());
}
- 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());
}
}
- 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());
}
}
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