使用 Java 高级 REST 客户端提升您的 Elasticsearch 体验 ()- 技术经验 -卓越飞翔博客

使用 java 高级 rest 客户端提升您的 elasticsearch 体验 ()

介绍

java high level rest client (7.x) 是一个与 elasticsearch 集群交互的强大工具，使服务器通信更容易访问和高效。在本指南中，我们将引导您完成在阿里云 elasticsearch 集群上使用高级 rest 客户端调用 elasticsearch java api 的步骤。

准备工作

第1步：创建elasticsearch集群

确保您的集群版本与您计划使用的 java high level rest client 版本相同或更新。有关分步说明，请参阅创建阿里云 elasticsearch 集群。

第 2 步：启用自动索引

在 yaml 配置文件中启用自动索引功能。详情请参见配置yml文件。

步骤3：配置ip地址白名单

通过配置ip地址白名单确保正常通信。如果您通过 internet 访问集群，请按照配置公共或私有 ip 地址白名单中的指南允许来自所需 ip 地址的请求。

第四步：安装jdk

安装 java 开发工具包 (jdk) 1.8 或更高版本。有关更多信息，请参阅安装 jdk。

第5步：创建java maven项目

将必要的依赖项添加到您的 pom.xml 文件中。将依赖项中的版本号从 7.x 更改为您正在使用的高级 rest 客户端的特定版本。

<dependency><groupid>org.elasticsearch.client</groupid><artifactid>elasticsearch-rest-high-level-client</artifactid><version>7.x</version></dependency><dependency><groupid>org.<a style="color:#f60; text-decoration:underline;" href="https://www.php.cn/zt/15972.html" target="_blank">apache</a>.logging.log4j</groupid><artifactid>log4j-core</artifactid><version>2.20.0</version></dependency><dependency><groupid>org.apache.logging.log4j</groupid><artifactid>log4j-api</artifactid><version>2.20.0</version></dependency>

示例：管理索引

下面是使用高级 rest 客户端创建和删除索引的示例。将占位符 {} 替换为您的具体参数。

import org.apache.http.httphost;
import org.apache.http.auth.authscope;
import org.apache.http.auth.usernamepasswordcredentials;
import org.apache.http.client.credentia<a style="color:#f60; text-decoration:underline;" href="https://www.php.cn/zt/79544.html" target="_blank">lsp</a>rovider;
import org.apache.http.impl.client.basiccredentialsprovider;
import org.apache.http.impl.nio.client.httpasyncclientbuilder;
import org.elasticsearch.action.delete.deleterequest;
import org.elasticsearch.action.delete.deleteresponse;
import org.elasticsearch.action.index.indexrequest;
import org.elasticsearch.action.index.indexresponse;
import org.elasticsearch.client.*;

import java.io.ioexception;
import java.util.hashmap;
import java.util.map;

public class restclientexample {
    private static final requestoptions common_options;

    static {
        requestoptions.builder builder = requestoptions.default.tobuilder();
        builder.sethttpasyncresponseconsumerfactory(
                new httpasyncresponseconsumerfactory
                        .heapbufferedresponseconsumerfactory(30 * 1024 * 1024));
        common_options = builder.build();
    }

    public static void main(string[] args) {
        final credentialsprovider credentialsprovider = new basiccredentialsprovider();
        credentialsprovider.setcredentials(authscope.any, 
            new usernamepasswordcredentials("{username}", "{password}"));

        restclientbuilder builder = restclient.builder(new httphost("{endpoint of the elasticsearch cluster}", 9200, "http"))
                .sethttpclientconfigcallback(new restclientbuilder.httpclientconfigcallback() {
                    @override
                    public httpasyncclientbuilder customizehttpclient(httpasyncclientbuilder httpclientbuilder) {
                        return httpclientbuilder.setdefaultcredentialsprovider(credentialsprovider);
                    }
                });

        resthighlevelclient highclient = new resthighlevelclient(builder);

        try {
            map<string object> jsonmap = new hashmap();
            jsonmap.put("{field_01}", "{value_01}");
            jsonmap.put("{field_02}", "{value_02}");

            indexrequest indexrequest = new indexrequest("{index_name}", "_doc", "{doc_id}").source(jsonmap);
            indexresponse indexresponse = highclient.index(indexrequest, common_options);
            long version = indexresponse.getversion();
            system.out.println("index document successfully! " + version);

            deleterequest deleterequest = new deleterequest("{index_name}", "_doc", "{doc_id}");
            deleteresponse deleteresponse = highclient.delete(deleterequest, common_options);
            system.out.println("delete document successfully! n" + deleteresponse.tostring());

            highclient.close();
        } catch (ioexception ioexception) {
            ioexception.printstacktrace();
        }
    }
}
</string>

高并发配置

对于高并发场景，增加客户端连接数：

httpclientbuilder.setmaxconntotal(500);
httpclientbuilder.setmaxconnperroute(300);

示例代码片段：

String host = "127.0.0.1";
int port = 9200;
String username = "elastic";
String password = "passwd";
final int max_conn_total = 500;
final int max_conn_per_route = 300;

RestHighLevelClient restHighLevelClient = new RestHighLevelClient(
  RestClient.builder(new HttpHost(host, port, "http")).setHttpClientConfigCallback(new RestClientBuilder.HttpClientConfigCallback() {
    public HttpAsyncClientBuilder customizeHttpClient(HttpAsyncClientBuilder httpClientBuilder) {
      httpClientBuilder.setMaxConnTotal(max_conn_total);
      httpClientBuilder.setMaxConnPerRoute(max_conn_per_route);
      return httpClientBuilder.setDefaultCredentialsProvider(credentialsProvider);
    }
  })
);

有关功能和配置的更多详细信息，请参阅官方 java high level rest client 文档。

结论

使用java high level rest client可以确保与阿里云elasticsearch集群的高效交互。按照本指南充分利用您的 elasticsearch 设置。
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介绍