org.elasticsearch.common.transport.InetSocketTransportAddress对应Maven
时间: 2023-07-04 21:16:52 浏览: 120
`org.elasticsearch.common.transport.InetSocketTransportAddress` 也是 Elasticsearch 的 Java Transport Client 的一部分,可以在 Maven 中通过以下依赖添加:
```
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>transport</artifactId>
<version>7.14.0</version>
</dependency>
```
其中,`7.14.0` 是 Elasticsearch 的版本号,你可以根据自己使用的 Elasticsearch 版本选择相应的版本号。
相关问题
java 写一个es工具
### 回答1:
要写一个 Java 工具来操作 Elasticsearch,可以使用官方提供的 Java API。
首先需要导入相关的依赖,在 Maven 中可以在 pom.xml 文件中加入如下内容:
```
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>elasticsearch-rest-high-level-client</artifactId>
<version>7.10.0</version>
</dependency>
```
然后就可以使用 Java API 来操作 Elasticsearch 了。以下是一个简单的示例,用来连接到 Elasticsearch 并执行一次搜索操作:
```
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.MatchAllQueryBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
public class EsExample {
public static void main(String[] args) throws Exception {
RestHighLevelClient client = new RestHighLevelClient(
RestClient.builder(
new HttpHost("localhost", 9200, "http")
)
);
SearchRequest searchRequest = new SearchRequest("my_index");
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
searchSourceBuilder.query(new MatchAllQueryBuilder());
searchRequest.source(searchSourceBuilder);
SearchResponse searchResponse = client.search(searchRequest);
System.out.println(searchResponse);
client.close();
}
}
```
这只是一个简单的示例,实际使用中可以根据需要调整更多的参数和执行更复杂的操作。
### 回答2:
ES(Elasticsearch)是一个开源的分布式、高性能的搜索和分析引擎,常用于存储和检索大量的结构化和非结构化数据。下面是一个用Java编写的ES工具的示例:
```java
import org.apache.http.HttpHost;
import org.elasticsearch.action.admin.indices.create.CreateIndexRequest;
import org.elasticsearch.action.admin.indices.create.CreateIndexResponse;
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.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.SearchHit;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import java.io.IOException;
public class ESUtils {
private RestHighLevelClient client;
public ESUtils() {
client = new RestHighLevelClient(
RestClient.builder(new HttpHost("localhost", 9200, "http")));
}
public void createIndex(String indexName) throws IOException {
CreateIndexRequest request = new CreateIndexRequest(indexName);
CreateIndexResponse response = client.indices().create(request, RequestOptions.DEFAULT);
if (response.isAcknowledged() && response.isShardsAcknowledged()) {
System.out.println("Index created successfully.");
}
}
public void insertDocument(String indexName, String document) throws IOException {
IndexRequest request = new IndexRequest(indexName);
request.source(document, XContentType.JSON);
IndexResponse response = client.index(request, RequestOptions.DEFAULT);
if (response.getResult().getLowercase().equals("created")) {
System.out.println("Document inserted successfully.");
}
}
public void deleteDocument(String indexName, String id) throws IOException {
DeleteRequest request = new DeleteRequest(indexName, id);
DeleteResponse response = client.delete(request, RequestOptions.DEFAULT);
if (response.getResult().getLowercase().equals("deleted")) {
System.out.println("Document deleted successfully.");
}
}
public void searchDocuments(String indexName, String field, String value) throws IOException {
SearchRequest request = new SearchRequest(indexName);
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
sourceBuilder.query(QueryBuilders.matchQuery(field, value));
request.source(sourceBuilder);
SearchResponse response = client.search(request, RequestOptions.DEFAULT);
for (SearchHit hit : response.getHits().getHits()) {
System.out.println(hit.getSourceAsString());
}
}
public void closeClient() throws IOException {
client.close();
System.out.println("Client closed.");
}
public static void main(String[] args) throws IOException {
ESUtils esUtils = new ESUtils();
esUtils.createIndex("my_index");
esUtils.insertDocument("my_index", "{\"name\":\"John Doe\",\"age\":30}");
esUtils.searchDocuments("my_index", "name", "John");
esUtils.deleteDocument("my_index", "1");
esUtils.closeClient();
}
}
```
以上代码是一个简单的ES工具,提供了创建索引、插入文档、删除文档和搜索文档的功能。使用RestHighLevelClient来与ES进行交互,通过HTTP进行通信。可以根据需要进行扩展和修改,实现更多的ES操作功能。
### 回答3:
Java写一个ES工具可以使用Elasticsearch的Java客户端来实现。Elasticsearch是一个开源的分布式搜索引擎,提供了丰富的RESTful API接口,可以用于构建高性能的搜索功能。
首先,需要引入Elasticsearch的Java客户端依赖,可以在Maven或者Gradle中添加相应的依赖项。然后,创建一个ES工具类,用于封装与Elasticsearch的交互逻辑。
在工具类中,可以实现一些常用的操作方法,例如索引文档、更新文档、删除文档、搜索文档等。这些方法可以通过调用Elasticsearch Java客户端提供的API来实现。
例如,可以使用TransportClient来与Elasticsearch集群建立连接,并通过API来执行相关操作。假设要实现一个索引文档的方法,可以按照以下步骤:
1. 创建一个TransportClient对象,并指定连接的Elasticsearch集群的地址和端口。
2. 创建一个IndexRequest对象,设置要索引的文档内容。
3. 调用TransportClient的index方法,传入IndexRequest对象,来执行索引操作。
4. 根据返回结果判断操作是否成功,并进行相应的处理。
类似地,可以实现其他操作方法,根据具体需求调用相应的API即可。在使用工具类时,可以根据具体的业务需求来调用相应的方法,实现对Elasticsearch的操作。
需要注意的是,在使用ES工具时,应该合理处理异常情况,并需要保证ES集群的数据一致性和安全性。此外,还可以对ES工具进行扩展,根据实际需求添加其他功能,例如分页查询、聚合操作等。
总之,通过使用Elasticsearch的Java客户端,结合具体的业务需求,可以编写一个实用的ES工具,用于方便地与Elasticsearch集群进行交互操作。
java api连接kerberos认证的es 生成一个demo,要求使用最新的java api
好的,我可以为您提供一个 Java API 连接 Kerberos 认证的 Elasticsearch 的示例代码。
首先,您需要在 Maven 项目中添加以下 Elasticsearch 和 Kerberos 相关的依赖:
```
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>elasticsearch-rest-client</artifactId>
<version>7.15.1</version>
</dependency>
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>elasticsearch-rest-high-level-client</artifactId>
<version>7.15.1</version>
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-to-slf4j</artifactId>
<version>2.14.1</version>
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-api</artifactId>
<version>2.14.1</version>
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-core</artifactId>
<version>2.14.1</version>
</dependency>
<dependency>
<groupId>com.sun.security.auth.module</groupId>
<artifactId>jaas</artifactId>
<version>1.8.0_212</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>3.3.1</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-auth</artifactId>
<version>3.3.1</version>
</dependency>
```
接下来,您需要创建一个 `RestHighLevelClient` 对象并为其配置 Kerberos 认证,示例代码如下:
```
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.security.UserGroupInformation;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.sniff.Sniffer;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.transport.TransportAddress;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.common.util.concurrent.ThreadContext;
import org.elasticsearch.transport.client.PreBuiltTransportClient;
import org.elasticsearch.xpack.core.security.authc.support.UsernamePasswordToken;
import org.elasticsearch.xpack.security.authc.AuthenticationToken;
import org.elasticsearch.xpack.security.authc.support.DefaultAuthenticationFailureHandler;
import org.elasticsearch.xpack.security.authc.support.UsernamePasswordToken;
import org.elasticsearch.xpack.security.transport.netty4.SecurityNetty4Transport;
import java.io.IOException;
import java.net.InetAddress;
import java.net.InetSocketAddress;
import java.net.UnknownHostException;
import java.security.PrivilegedAction;
import java.util.concurrent.TimeUnit;
public class ElasticsearchKerberosClient {
private final String clusterName;
private final String[] nodeIps;
private final String realm;
private final String username;
private final String password;
private final String serviceName;
private final String keytabPath;
private RestHighLevelClient client;
private Sniffer sniffer;
public ElasticsearchKerberosClient(String clusterName, String[] nodeIps, String realm, String username, String password, String serviceName, String keytabPath) {
this.clusterName = clusterName;
this.nodeIps = nodeIps;
this.realm = realm;
this.username = username;
this.password = password;
this.serviceName = serviceName;
this.keytabPath = keytabPath;
}
public void init() throws Exception {
final Configuration conf = new Configuration();
conf.set("hadoop.security.authentication", "Kerberos");
UserGroupInformation.setConfiguration(conf);
UserGroupInformation.loginUserFromKeytab(username, keytabPath);
final Settings settings = Settings.builder()
.put("cluster.name", clusterName)
.put("xpack.security.user", username + ":" + password)
.put(SecurityNetty4Transport.SSL_KEYSTORE_PASSWORD_SETTING.getKey(), password)
.put(SecurityNetty4Transport.SSL_TRUSTSTORE_PASSWORD_SETTING.getKey(), password)
.put(SecurityNetty4Transport.SSL_KEYSTORE_PATH_SETTING.getKey(), "path/to/keystore.jks")
.put(SecurityNetty4Transport.SSL_TRUSTSTORE_PATH_SETTING.getKey(), "path/to/truststore.jks")
.put(SecurityNetty4Transport.SSL_KEYSTORE_TYPE_SETTING.getKey(), "JKS")
.put(SecurityNetty4Transport.SSL_TRUSTSTORE_TYPE_SETTING.getKey(), "JKS")
.put(SecurityNetty4Transport.SSL_HTTP_ENABLED_SETTING.getKey(), true)
.put(SecurityNetty4Transport.SSL_TRANSPORT_ENABLED_SETTING.getKey(), true)
.put(SecurityNetty4Transport.SSL_KEYSTORE_KEY_PASSWORD_SETTING.getKey(), password)
.put("xpack.security.transport.ssl.verification_mode", "certificate")
.put("xpack.security.transport.ssl.enabled", true)
.put("xpack.security.authc.token.enabled", true)
.put("xpack.security.authc.realms.kerberos.krb5.files", "/etc/krb5.conf")
.put("xpack.security.authc.realms.kerberos.krb5.service_name", serviceName)
.put("xpack.security.authc.realms.kerberos.acceptor_principal", "HTTP/_HOST@REALM")
.build();
final RestClient restClient = RestClient.builder(
new HttpHost(nodeIps[0], 9200, "https"),
new HttpHost(nodeIps[1], 9200, "https"),
new HttpHost(nodeIps[2], 9200, "https"))
.setHttpClientConfigCallback(httpClientBuilder -> {
httpClientBuilder.disableAuthCaching();
return httpClientBuilder;
})
.setRequestConfigCallback(requestConfigBuilder ->
requestConfigBuilder.setConnectTimeout((int) TimeUnit.MINUTES.toMillis(1))
.setConnectionRequestTimeout((int) TimeUnit.MINUTES.toMillis(1))
.setSocketTimeout((int) TimeUnit.MINUTES.toMillis(1)))
.build();
final ThreadContext threadContext = new ThreadContext(settings);
final DefaultAuthenticationFailureHandler failureHandler = new DefaultAuthenticationFailureHandler(settings, threadContext);
final Sniffer sniffer = Sniffer.builder(restClient)
.setSniffIntervalMillis(30000)
.setFailureListener(new Sniffer.FailureListener() {
@Override
public void onFailure(TransportAddress address) {
if (address != null) {
failureHandler.authenticationFailed(address.toString(), null);
}
}
})
.build();
this.sniffer = sniffer;
final RestHighLevelClient client = new RestHighLevelClient(restClient) {
@Override
public AuthenticationToken authenticate(AuthenticationToken token) {
if (token instanceof UsernamePasswordToken) {
final UsernamePasswordToken upToken = (UsernamePasswordToken) token;
final String upTokenUsername = upToken.username();
final String upTokenPassword = new String(upToken.credentials().clone());
return new UsernamePasswordToken(upTokenUsername, upTokenPassword.toCharArray());
} else {
return token;
}
}
};
this.client = client;
}
public void close() {
try {
if (client != null) {
client.close();
}
if (sniffer != null) {
sniffer.close();
}
} catch (IOException e) {
e.printStackTrace();
}
}
public RestHighLevelClient getClient() {
return client;
}
public static void main(String[] args) throws Exception {
final String clusterName = "elasticsearch";
final String[] nodeIps = {"127.0.0.1", "127.0.0.2", "127.0.0.3"};
final String realm = "YOUR-REALM.COM";
final String username = "YOUR-USERNAME";
final String password = "YOUR-PASSWORD";
final String serviceName = "elasticsearch";
final String keytabPath = "/path/to/keytab";
final ElasticsearchKerberosClient esClient = new ElasticsearchKerberosClient(clusterName, nodeIps, realm, username, password, serviceName, keytabPath);
esClient.init();
final RestHighLevelClient client = esClient.getClient();
// TODO: 使用 client 对象进行 Elasticsearch 查询操作
esClient.close();
}
}
```
请根据您的实际情况,修改示例代码中的参数和配置。
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