ElasticSearch(二) SpringBoot集成es
1、集成SpringBoot
1.1、配置基本的项目
1、创建一个SpringBoot项目
环境搭建:project structure里面project环境配置成8(相对应的),module中source配置成8,setting里面javac编译配置成8,以及js配置6+;
自定义es版本依赖,保证和本地版本一致:
<elasticsearch.version>7.6.1</elasticsearch.version>
2、创建ElasticSearchClientConfig.java进行配置,注入对象
@Configuration
public class ElasticSearchClientConfig {
@Bean
public RestHighLevelClient restHighLevelClient(){
RestHighLevelClient client = new RestHighLevelClient(
RestClient.builder(
new HttpHost("127.0.0.1", 9200, "http")
)
);
return client;
}
}
具体的Api测试
打开ElasticSearch和head。注入客户端:
@Autowired
private RestHighLevelClient restHighLevelClient;
1、创建索引
//测试索引的创建 Request
@Test
void testCreateIndex() throws IOException {
// 1.创建索引请求
CreateIndexRequest request = new CreateIndexRequest("heze_index");
// 2.客户端执行请求,IndicesClient,请求后获得响应
CreateIndexResponse createIndexResponse = restHighLevelClient.indices().create(request, RequestOptions.DEFAULT);
System.out.println(createIndexResponse);
}
2、判断索引是否存在
// 3.测试获取索引
@Test
void testExistIndex() throws IOException {
GetIndexRequest request = new GetIndexRequest("heze_index");
boolean exists = restHighLevelClient.indices().exists(request, RequestOptions.DEFAULT);
System.out.println(exists);
}
3、删除索引
// 4.测试删除索引
@Test
void testDelIndex() throws IOException {
DeleteIndexRequest request = new DeleteIndexRequest("heze_index");
AcknowledgedResponse delete = restHighLevelClient.indices().delete(request, RequestOptions.DEFAULT);
System.out.println(delete);
}
4、创建文档
// 5.测试添加文档
@Test
void testAddDocument() throws IOException {
// 创建对象
User user = new User("玉环", 3);
// 创建请求
IndexRequest request = new IndexRequest("heze_index");
// 规则 put /heze_index/_doc/1
request.id("1");
request.timeout(TimeValue.timeValueSeconds(1));
// request.timeout("1s");
// 将我们的数据放入请求 json
request.source(JSON.toJSONString(user), XContentType.JSON);
// 客户端发送请求, 获取响应的结果
IndexResponse indexResponse = restHighLevelClient.index(request, RequestOptions.DEFAULT);
System.out.println(indexResponse.toString());
System.out.println(indexResponse.status());
}
5、crud文档
// 5.测试添加文档
@Test
void testAddDocument() throws IOException {
// 创建对象
User user = new User("玉环", 3);
// 创建请求
IndexRequest request = new IndexRequest("heze_index");
// 规则 put /heze_index/_doc/1
request.id("1");
request.timeout(TimeValue.timeValueSeconds(1));
// request.timeout("1s");
// 将我们的数据放入请求 json
request.source(JSON.toJSONString(user), XContentType.JSON);
// 客户端发送请求, 获取响应的结果
IndexResponse indexResponse = restHighLevelClient.index(request, RequestOptions.DEFAULT);
System.out.println(indexResponse.toString());
System.out.println(indexResponse.status());
}
// 6.获取文档,判断是否存在, get /index/doc/1
@Test
void testIsExist() throws IOException {
GetRequest getRequest = new GetRequest("heze_index", "1");
// 不获取返回的_source 的上下文效率更高
getRequest.fetchSourceContext(new FetchSourceContext(false));
boolean exists = restHighLevelClient.exists(getRequest, RequestOptions.DEFAULT);
System.out.println(exists);
}
// 7.获取文档信息
@Test
void testGetRequest() throws IOException {
GetRequest getRequest = new GetRequest("heze_index", "1");
GetResponse getResponse = restHighLevelClient.get(getRequest, RequestOptions.DEFAULT);
System.out.println(getResponse.getSourceAsString()); //打印文档内容
System.out.println(getResponse); //返回全部内容和命令式一样的
}
// 8.更新文档信息
@Test
void testUpdateRequest() throws IOException {
UpdateRequest updateRequest = new UpdateRequest("heze_index", "3");
updateRequest.timeout("1s");
User user = new User("zhangsan", 18);
updateRequest.doc(JSON.toJSONString(user), XContentType.JSON);
UpdateResponse update = restHighLevelClient.update(updateRequest, RequestOptions.DEFAULT);
System.out.println(update.status());
}
// 9.删除文档记录
@Test
void testDeleteRequest() throws IOException {
DeleteRequest deleteRequest = new DeleteRequest("heze_index", "1");
deleteRequest.timeout("1s");
DeleteResponse delete = restHighLevelClient.delete(deleteRequest, RequestOptions.DEFAULT);
System.out.println(delete.status());
}
// 11.查询
// SearchRequest 搜索请求
// SearchSourceBuilder 条件构造
// HighlightBuilder 构建高亮
// TermQueryBuilder 精确查询
// MatchAllQueryBuilder 匹配全部
@Test
void testSearch() throws IOException {
SearchRequest searchRequest = new SearchRequest("heze_index");
// 构建搜索条件
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
// 查询条件,我们可以使用 QueryBuilders 工具来实现
// QueryBuilders.termQuery() 匹配精确
// QueryBuilders.matchAllQuery() 匹配所有
TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("name", "zhangsan");
sourceBuilder.query(termQueryBuilder);
sourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));
searchRequest.source(sourceBuilder);
SearchResponse searchResponse = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
System.out.println(JSON.toJSONString(searchResponse.getHits()));
System.out.println("=========");
for (SearchHit documentFields : searchResponse.getHits().getHits()) {
System.out.println(documentFields.getSourceAsMap());
}
System.out.println("=========");
}
6、批量操作
// 10.特殊的,真实的项目一般都会批量插入数据
@Test
void testBulkRequest() throws IOException {
BulkRequest bulkRequest = new BulkRequest();
bulkRequest.timeout("10s");
ArrayList<User> users = new ArrayList<>();
users.add(new User("玉环", 3));
users.add(new User("何泽", 18));
users.add(new User("张三", 10));
users.add(new User("李四", 11));
// 批处理请求
for (int i = 0; i < users.size(); i++) {
// 批量更新和批量删除,就在这里修改对应的请求就可以了
bulkRequest.add(
new IndexRequest("heze_index")
.id("" + (i + 1))
.source(JSON.toJSONString(users.get(i)), XContentType.JSON)
);
}
BulkResponse bulkResponse = restHighLevelClient.bulk(bulkRequest, RequestOptions.DEFAULT);
System.out.println(bulkResponse.hasFailures()); // 返回false为添加成功
}
总结:这里是在idea中使用api进行es等一些基本的操作,与Kibana相似。简单记录基本的使用方法。下一篇实操实验。