从零开发短视频电商 AWS OpenSearch Service开发环境申请以及Java客户端介绍

本文主要是介绍从零开发短视频电商 AWS OpenSearch Service开发环境申请以及Java客户端介绍,希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!

文章目录

    • 创建域
      • 1.创建域
      • 2.输入配置
        • 部署选项
        • 数据节点
        • 网络
        • 精细访问控制
        • 访问策略
    • 获取域端点
    • 数据如何插入到OpenSearch Service
    • Java连接OpenSearch Service
      • spring-data-opensearch
      • elasticsearch-rest-high-level-client
      • opensearch-rest-client
      • opensearch-java

因为是开发测试使用,所以选的都是低配,单机,便宜的配置。

地址:https://aws.amazon.com/cn/opensearch-service/

价格:https://aws.amazon.com/cn/opensearch-service/pricing/

  • 实例小时数 +
  • 所需的存储量 +
  • 传入和传出 Amazon OpenSearch Service 的数据

文档:https://docs.aws.amazon.com/zh_cn/opensearch-service/

创建域

一般在15-30分钟内创建一个OpenSearch集群,所以请尿完尿再来搞,别憋坏了。

1.创建域

2.输入配置

  • 域名:后面用java等客户端连接时会在URL中显示。

  • 域创建方法:请选择标准创建

    • 轻松创建:快速创建 OpenSearch 域以实现高可用性 含备用节点的多可用区,我们要自定义标准创建便宜点。可以理解为一个产线的标准套餐。
    • 标准创建:就是自选套餐。
  • 模板:选择开发/测试

  • 部署选项:选择不含备用节点的域,主打的就是便宜能用就行。
  • 可用区:选择一个可用区。
  • 版本:请选择最新版本。
部署选项

数据节点
  • 实例类型:默认是内存优化 - r6g.large.search,2C16G 价格为USD 0.167/H,下面列几个便宜的。
    • t3.small.search 2C2G USD 0.036 ,自己用来个最便宜的,又不是不能用。
    • t3.medium.search 2C4G USD 0.073
  • 节点数:1个就行。
  • 存储大小:40G就行。

忽略其他冷热数据存储专用主节点快照配置,以及自定义终端节点部分。

网络
  • 网络:选择 Public access(公有访问权限)
    • 开发测试环境,选择公共访问权限,生成用VPC访问

精细访问控制

启用细粒度访问控制复选框。选择创建主用户输入用户名和密码,用户名和密码很关键,后面访问dashboard和远程客户端连接都要。

忽略 SAML 身份验证Amazon Cognito 身份验证

访问策略

选择 Only use fine-grained access control(仅使用精细访问控制)

忽略其余设置,然后选择 Create(创建)。新域初始化过程通常需要 15-30 分钟,但可能需要更长的时间,具体取决于配置。

获取域端点

点击创建后,通常需要 15-30 分钟,然后从控制台 -> 域 -> 一般信息 获取域端点。

这里给了IPV6和IPV4的dashboard地址和域端点地址。

数据如何插入到OpenSearch Service

  • 对于大规模数据,我们建议使用 Amazon Kinesis Data Firehose,这是一项完全托管的服务,可以自动扩展以匹配您的数据吞吐量,并且不需要进行持续的管理。它还可以在加载数据前对其进行转换、批处理和压缩。
  • Amazon OpenSearch Service 支持与 Logstash 的集成。您可以将 Amazon OpenSearch Service 域配置为数据存储,用于存储所有来自 Logstash 的日志。
  • 可以使用索引 API 和批量 API 等原生 Elasticsearch(7.10 及更低版本)或 OpenSearch API 将数据加载到域中。

Java连接OpenSearch Service

当使用 Java 连接 OpenSearch 时,有几个选择,包括 Spring Data Elasticsearch/opensearch、原生 Elasticsearch 和 OpenSearch 客户端。下面是每种方式的简要介绍:

  • spring-data-xxx
  • 原生Elasticsearch
  • OpenSearch

建议基本的CRUD用 spring-data-xxx

复杂的查询用低级client,如opensearch-java
RestClient lowLevelClient = highLevelClient.getLowLevelClient();
lowLevelClient . lowLevelClient.performRequest()

验证分为用户名和密码进行身份验证AWS访问密钥(Access Key和Secret Key)
我们当前选的精细控制用的是用户名密码验证,后面生产建议改为IAM验证。

spring-data-opensearch

  • Github:https://github.com/opensearch-project/spring-data-opensearch

  • 官方示例:https://github.com/opensearch-project/spring-data-opensearch/tree/main/spring-data-opensearch-examples

Spring Boot 3.x

1.添加依赖。

<dependency><groupId>org.opensearch.client</groupId><artifactId>spring-data-opensearch-starter</artifactId><version>1.3.0</version>
</dependency>

2.启动类去除ElasticsearchDataAutoConfiguration自动配置。

@SpringBootApplication(exclude = {ElasticsearchDataAutoConfiguration.class})
public class OpenSearchDemoApplication {public static void main(String[] args) {SpringApplication.run(OpenSearchDemoApplication.class, args);}
}

3.application.yml增加配置

opensearch:uris: https://localhost:9200username: adminpassword: adminspring:jackson:serialization:INDENT_OUTPUT: true

4.新增model

import java.math.BigDecimal;
import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.annotations.Field;
import org.springframework.data.elasticsearch.annotations.FieldType;@Document(indexName = "marketplace")
public class Product {@Idprivate String id;@Field(type = FieldType.Text, name = "name")private String name;@Field(type = FieldType.Double, name = "price")private BigDecimal price;@Field(type = FieldType.Integer, name = "quantity")private Integer quantity;@Field(type = FieldType.Text, name = "description")private String description;@Field(type = FieldType.Keyword, name = "vendor")private String vendor;

5.新增Repository

import java.math.BigDecimal;
import java.util.List;
import org.opensearch.data.example.model.Product;
import org.springframework.data.elasticsearch.repository.ElasticsearchRepository;
import org.springframework.stereotype.Repository;@Repository
public interface MarketplaceRepository extends ElasticsearchRepository<Product, String> {List<Product> findByNameLikeAndPriceGreaterThan(String name, BigDecimal price);
}

6.新增service

@Service
public class  MarketplaceService {private final MarketplaceRepository repository;public MyService(MarketplaceRepository repository) {this.repository = repository;}public void doWork() {repository.deleteAll();Product product = new Product();product.setName("xxx");product.setxxx("xxx");repository.save(product);List<Product> results = repository.findByNameLikeAndPriceGreaterThan("Gierke",xx);}
}

我们还可以通过RestHighLevelClient获得lowLevelRest()客户端。

  @AutowiredRestHighLevelClient highLevelClient;RestClient lowLevelClient = highLevelClient.getLowLevelClient();IndexRequest request = new IndexRequest("spring-data").id(randomID()).source(singletonMap("feature", "high-level-rest-client")).setRefreshPolicy(IMMEDIATE);
IndexResponse response = highLevelClient.index(request,RequestOptions.DEFAULT);// 构建请求Request request = new Request("GET", "/your-index-name/_search");// 添加请求参数,如果需要的话request.addParameter("q", "field:value");// 执行请求Response response = lowLevelClient.performRequest(request);// 处理响应int statusCode = response.getStatusLine().getStatusCode();String responseBody = EntityUtils.toString(response.getEntity());System.out.println("Status Code: " + statusCode);System.out.println("Response Body: " + responseBody);

elasticsearch-rest-high-level-client

1.添加依赖

<dependencies><dependency><groupId>org.elasticsearch.client</groupId><artifactId>elasticsearch-rest-high-level-client</artifactId><version>7.10.2</version> <!-- 替换为你使用的OpenSearch版本 --></dependency>
</dependencies>

2.示例代码

import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.xcontent.XContentType;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.builder.SearchSourceBuilder;import java.io.IOException;
import java.util.HashMap;
import java.util.Map;public class OpenSearchExample {public static void main(String[] args) {// OpenSearch连接配置String hostname = "your_opensearch_host"; // 替换为你的OpenSearch服务器主机名或IP地址int port = 9200; // 替换为你的OpenSearch服务器端口String scheme = "https"; // 如果使用HTTPS,否则使用"http"String username = "laker";String password = "lakerpwd";try (RestHighLevelClient client = new RestHighLevelClient(RestClient.builder(hostname).setPort(port).setScheme(scheme).setHttpClientConfigCallback(httpClientBuilder ->httpClientBuilder.setDefaultCredentialsProvider(() ->new org.apache.http.auth.UsernamePasswordCredentials(username, password))))) {// 上传数据Map<String, Object> jsonMap = new HashMap<>();jsonMap.put("field1", "value1");jsonMap.put("field2", "value2");IndexRequest indexRequest = new IndexRequest("your_index").id("your_document_id") // 替换为文档的ID.source(jsonMap, XContentType.JSON);IndexResponse indexResponse = client.index(indexRequest, RequestOptions.DEFAULT);System.out.println("Index created with ID: " + indexResponse.getId());// 查询数据SearchRequest searchRequest = new SearchRequest("your_index");SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();searchSourceBuilder.query(QueryBuilders.matchAllQuery());searchRequest.source(searchSourceBuilder);SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);// 处理查询结果System.out.println("Search hits: " + searchResponse.getHits().getTotalHits());} catch (IOException e) {e.printStackTrace();}}
}

opensearch-rest-client

  • 文档:https://opensearch.org/docs/latest/clients/java-rest-high-level/

1.添加依赖

        <dependency><groupId>org.opensearch.client</groupId><artifactId>opensearch-rest-high-level-client</artifactId><version>2.11.1</version></dependency>

2.示例代码

import org.apache.http.HttpHost;
import org.apache.http.auth.AuthScope;
import org.apache.http.auth.UsernamePasswordCredentials;
import org.apache.http.client.CredentialsProvider;
import org.apache.http.impl.client.BasicCredentialsProvider;
import org.apache.http.impl.nio.client.HttpAsyncClientBuilder;
import org.opensearch.action.admin.indices.delete.DeleteIndexRequest;
import org.opensearch.action.delete.DeleteRequest;
import org.opensearch.action.delete.DeleteResponse;
import org.opensearch.action.get.GetRequest;
import org.opensearch.action.get.GetResponse;
import org.opensearch.action.index.IndexRequest;
import org.opensearch.action.index.IndexResponse;
import org.opensearch.action.support.master.AcknowledgedResponse;
import org.opensearch.client.RequestOptions;
import org.opensearch.client.RestClient;
import org.opensearch.client.RestClientBuilder;
import org.opensearch.client.RestHighLevelClient;
import org.opensearch.client.indices.CreateIndexRequest;
import org.opensearch.client.indices.CreateIndexResponse;
import org.opensearch.common.settings.Settings;import java.io.IOException;
import java.util.HashMap;public class RESTClientSample {public static void main(String[] args) throws IOException {final CredentialsProvider credentialsProvider = new BasicCredentialsProvider();credentialsProvider.setCredentials(AuthScope.ANY,new UsernamePasswordCredentials("lakertest", "xxxx"));//Create a client.RestClientBuilder builder = RestClient.builder(new HttpHost("search-laker-search-xxxx.us-east-2.es.amazonaws.com", 443, "https")).setHttpClientConfigCallback(httpClientBuilder -> httpClientBuilder.setDefaultCredentialsProvider(credentialsProvider));RestHighLevelClient client = new RestHighLevelClient(builder);//Create a non-default index with custom settings and mappings.CreateIndexRequest createIndexRequest = new CreateIndexRequest("custom-index");createIndexRequest.settings(Settings.builder() //Specify in the settings how many shards you want in the index..put("index.number_of_shards", 4).put("index.number_of_replicas", 3));//Create a set of maps for the index's mappings.HashMap<String, String> typeMapping = new HashMap<String,String>();typeMapping.put("type", "integer");HashMap<String, Object> ageMapping = new HashMap<String, Object>();ageMapping.put("age", typeMapping);HashMap<String, Object> mapping = new HashMap<String, Object>();mapping.put("properties", ageMapping);createIndexRequest.mapping(mapping);CreateIndexResponse createIndexResponse = client.indices().create(createIndexRequest, RequestOptions.DEFAULT);//Adding data to the index.IndexRequest request = new IndexRequest("custom-index"); //Add a document to the custom-index we created.request.id("1"); //Assign an ID to the document.HashMap<String, String> stringMapping = new HashMap<String, String>();stringMapping.put("message:", "Testing Java REST client");request.source(stringMapping); //Place your content into the index's source.IndexResponse indexResponse = client.index(request, RequestOptions.DEFAULT);// 查询GetRequest getRequest = new GetRequest("custom-index", "1");GetResponse response = client.get(getRequest, RequestOptions.DEFAULT);System.out.println(response.getSourceAsString());// 删除文档DeleteRequest deleteDocumentRequest = new DeleteRequest("custom-index", "1"); //Index name followed by the ID.DeleteResponse deleteResponse = client.delete(deleteDocumentRequest, RequestOptions.DEFAULT);// 删除索引DeleteIndexRequest deleteIndexRequest = new DeleteIndexRequest("custom-index"); //Index name.AcknowledgedResponse deleteIndexResponse = client.indices().delete(deleteIndexRequest, RequestOptions.DEFAULT);client.close();}
}

opensearch-java

  • 文档:https://opensearch.org/docs/latest/clients/java/
  • 示例代码:https://github.com/opensearch-project/opensearch-java/tree/main/samples
    • 里面很详细,包含knn部分。
<dependency><groupId>org.opensearch.client</groupId><artifactId>opensearch-java</artifactId><version>2.8.1</version>
</dependency>
@Data
public class IndexData {private String title;private String text;public IndexData() {}public IndexData(String title, String text) {this.title = title;this.text = text;}
}
import org.apache.http.HttpHost;
import org.apache.http.auth.AuthScope;
import org.apache.http.auth.UsernamePasswordCredentials;
import org.apache.http.client.CredentialsProvider;
import org.apache.http.impl.client.BasicCredentialsProvider;
import org.opensearch.client.RestClient;
import org.opensearch.client.json.jackson.JacksonJsonpMapper;
import org.opensearch.client.opensearch.OpenSearchClient;
import org.opensearch.client.opensearch._types.mapping.IntegerNumberProperty;
import org.opensearch.client.opensearch._types.mapping.Property;
import org.opensearch.client.opensearch._types.mapping.TypeMapping;
import org.opensearch.client.opensearch.core.IndexRequest;
import org.opensearch.client.opensearch.core.SearchResponse;
import org.opensearch.client.opensearch.indices.CreateIndexRequest;
import org.opensearch.client.opensearch.indices.DeleteIndexRequest;
import org.opensearch.client.opensearch.indices.IndexSettings;
import org.opensearch.client.transport.OpenSearchTransport;
import org.opensearch.client.transport.rest_client.RestClientTransport;import java.io.IOException;public class OpenSearchClientExample {public static void main(String[] args) throws IOException {final CredentialsProvider credentialsProvider = new BasicCredentialsProvider();credentialsProvider.setCredentials(AuthScope.ANY,new UsernamePasswordCredentials("admin", "admin"));// 私有 opensearchRestClient restClient = RestClient.builder(new HttpHost("localhost", 9200, "https")).setHttpClientConfigCallback(httpClientBuilder -> httpClientBuilder.setDefaultCredentialsProvider(credentialsProvider)).build();OpenSearchTransport transport = new RestClientTransport(restClient, new JacksonJsonpMapper());OpenSearchClient client = new OpenSearchClient(transport);//Create the indexString indexName = "sample-index";//Add some settings to the indexIndexSettings settings = new IndexSettings.Builder().numberOfShards("2").numberOfReplicas("1").build();TypeMapping mapping = new TypeMapping.Builder().properties("age",new Property.Builder().integer(new IntegerNumberProperty.Builder().build()).build()).build();CreateIndexRequest createIndexRequest = new CreateIndexRequest.Builder().index(indexName).settings(settings).mappings(mapping).build();client.indices().create(createIndexRequest);//Index some dataIndexData indexData = new IndexData("Document 1", "Text for document 1");IndexRequest<IndexData> indexRequest = new IndexRequest.Builder<IndexData>().index(indexName).id("1").document(indexData).build();client.index(indexRequest);//Search for the documentSearchResponse<IndexData> searchResponse = client.search(s -> s.index(indexName), IndexData.class);for (int i = 0; i < searchResponse.hits().hits().size(); i++) {System.out.println(searchResponse.hits().hits().get(i).source());}//Delete the documentclient.delete(b -> b.index(indexName).id("1"));// Delete the indexDeleteIndexRequest deleteIndexRequest = new DeleteIndexRequest.Builder().index(indexName).build();client.indices().delete(deleteIndexRequest);try {if (restClient != null) {restClient.close();}} catch (IOException e) {System.out.println(e.toString());}}
}

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