更新时间:2024-10-12 GMT+08:00

向量检索的客户端代码示例(Java)

OpenSearch提供了标准的REST接口,以及Java、Python等语言编写的客户端。

本节提供一份创建向量索引、导入向量数据和查询向量数据的Java代码示例,介绍如何使用客户端实现向量检索。

前提条件

根据集群实际版本添加如下Maven依赖,此处以OpenSearch 1.3.6版本举例。

<dependency>
    <groupId>org.opensearch.client</groupId>
    <artifactId>opensearch-rest-high-level-client</artifactId>
    <version>1.3.6</version>
</dependency>

代码示例

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
package org.example;

import org.apache.http.HttpEntity;
import org.apache.http.HttpHost;
import org.apache.http.HttpStatus;
import org.apache.http.auth.AuthScope;
import org.apache.http.auth.UsernamePasswordCredentials;
import org.apache.http.client.CredentialsProvider;
import org.apache.http.conn.ssl.NoopHostnameVerifier;
import org.apache.http.impl.client.BasicCredentialsProvider;
import org.apache.http.nio.conn.ssl.SSLIOSessionStrategy;
import org.opensearch.action.admin.indices.delete.DeleteIndexRequest;
import org.opensearch.action.admin.indices.refresh.RefreshRequest;
import org.opensearch.action.bulk.BulkRequest;
import org.opensearch.action.bulk.BulkResponse;
import org.opensearch.action.index.IndexRequest;
import org.opensearch.action.search.SearchResponse;
import org.opensearch.action.support.master.AcknowledgedResponse;
import org.opensearch.client.Request;
import org.opensearch.client.RequestOptions;
import org.opensearch.client.Response;
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 org.opensearch.common.xcontent.DeprecationHandler;
import org.opensearch.common.xcontent.NamedXContentRegistry;
import org.opensearch.common.xcontent.XContentParser;
import org.opensearch.common.xcontent.XContentType;

import javax.net.ssl.SSLContext;
import javax.net.ssl.TrustManager;
import javax.net.ssl.X509TrustManager;
import java.io.IOException;
import java.security.KeyManagementException;
import java.security.NoSuchAlgorithmException;
import java.security.SecureRandom;
import java.security.cert.X509Certificate;
import java.util.Arrays;
import java.util.List;

public class ClientExampleOS {
    private final RestHighLevelClient client;

    public ClientExampleOS(RestHighLevelClient client) {
        this.client = client;
    }

    // 创建非安全集群访问客户端
    public static RestHighLevelClient getClient(List<String> hosts, int port, String scheme) {
        HttpHost[] httpHosts = hosts.stream().map(p -> new HttpHost(p, port, scheme)).toArray(HttpHost[]::new);
        return new RestHighLevelClient(RestClient.builder(httpHosts));
    }

    // 创建安全集群访问客户端
    public static RestHighLevelClient getClient(List<String> hosts, int port, String scheme, String user, String password) {
        final CredentialsProvider credentialsProvider = new BasicCredentialsProvider();
        credentialsProvider.setCredentials(AuthScope.ANY, new UsernamePasswordCredentials(user, password));
        SSLContext sc = null;
        try {
            sc = SSLContext.getInstance("SSL");
            sc.init(null, trustAllCerts, new SecureRandom());
        } catch (KeyManagementException | NoSuchAlgorithmException e) {
            e.printStackTrace();
        }
        HttpHost[] httpHosts = hosts.stream().map(p -> new HttpHost(p, port, scheme)).toArray(HttpHost[]::new);
        final SSLIOSessionStrategy sessionStrategy = new SSLIOSessionStrategy(sc, NoopHostnameVerifier.INSTANCE);
        RestClientBuilder builder = RestClient.builder(httpHosts).setHttpClientConfigCallback(httpClientBuilder -> {
            httpClientBuilder.disableAuthCaching();
            httpClientBuilder.setSSLStrategy(sessionStrategy);
            return httpClientBuilder.setDefaultCredentialsProvider(credentialsProvider);
        });
        return new RestHighLevelClient(builder);
    }

    public static TrustManager[] trustAllCerts = new TrustManager[] {
            new X509TrustManager() {
                @Override
                public void checkClientTrusted(X509Certificate[] chain, String authType) {
                }
                @Override
                public void checkServerTrusted(X509Certificate[] chain, String authType) {
                }
                @Override
                public X509Certificate[] getAcceptedIssuers() {
                    return null;
                }
            }
    };

    // 创建索引
    public void create(String index) throws IOException {
        CreateIndexRequest request = new CreateIndexRequest(index);
        request.settings(Settings.builder()
                .put("index.vector", true) // 开启向量特性
                .put("index.number_of_shards", 1) // 索引分片数, 根据实际需求设置
                .put("index.number_of_replicas", 0) // 索引副本数,根据实际需求设置
        );
        String mapping =
                "{" +
                "  \"properties\": {" +
                "    \"my_vector\": {" +
                "      \"type\": \"vector\"," +      // 设置该字段为向量类型
                "      \"indexing\": \"true\"," +    // 开启索引加速
                "      \"dimension\": \"2\"," +      // 向量索引
                "      \"metric\": \"euclidean\"," + // 相似度度量
                "      \"algorithm\": \"GRAPH\"" +   // 索引算法
                "    }" +
                "  }" +
                "}";
        request.mapping(mapping, XContentType.JSON);
        CreateIndexResponse response = client.indices().create(request, RequestOptions.DEFAULT);
        if (response.isAcknowledged()) {
            System.out.println("create " + index + " success");
        }
    }

    // 写入数据,一批数据的大小建议控制在500条向量以内
    public void write(String index, List<float[]> vectors) throws IOException {
        BulkRequest request = new BulkRequest();
        for (float[] vec : vectors) {
            request.add(new IndexRequest(index).source("my_vector", vec));
        }

        BulkResponse response = client.bulk(request, RequestOptions.DEFAULT);
        if (response.hasFailures()) {
            System.out.println(response.buildFailureMessage());
        } else {
            System.out.println("write bulk to " + index + " success");
        }

        // 可选,ES会默认刷新
        client.indices().refresh(new RefreshRequest(index), RequestOptions.DEFAULT);
    }

    // 查询向量
    public void search(String index, float[] query, int size) throws IOException {
        String queryFormat =
                "{\n" +
                "  \"size\":%d,\n" +
                "  \"query\": {\n" +
                "    \"vector\": {\n" +
                "      \"my_vector\": {\n" +  // 查询向量字段名称
                "        \"vector\": %s,\n" +
                "        \"topk\":%d\n" +
                "      }\n" +
                "    }\n" +
                "  }\n" +
                "}";
        String body = String.format(queryFormat, size, Arrays.toString(query), size);
        Request request = new Request("POST", index + "/_search");
        request.setJsonEntity(body);
        Response response = client.getLowLevelClient().performRequest(request);
        if (response.getStatusLine().getStatusCode() != HttpStatus.SC_OK) {
            System.out.println(response.getEntity()); // 根据业务需求处理查询错误
            return;
        }
        // 根据业务需求处理正常返回结果
        HttpEntity entity = response.getEntity();
        XContentType xContentType = XContentType.fromMediaTypeOrFormat("application/json");
        XContentParser parser = xContentType.xContent().createParser(NamedXContentRegistry.EMPTY,
                DeprecationHandler.IGNORE_DEPRECATIONS, entity.getContent());
        SearchResponse searchResponse = SearchResponse.fromXContent(parser);
        System.out.println(searchResponse);
    }

    // 删除索引
    public void delete(String index) throws IOException {
        DeleteIndexRequest request = new DeleteIndexRequest(index);
        AcknowledgedResponse response = client.indices().delete(request, RequestOptions.DEFAULT);
        if (response.isAcknowledged()) {
            System.out.println("delete " + index + " success");
        }
    }

    public void close() throws IOException {
        client.close();
    }

    public static void main(String[] args) throws IOException {
        // 对于非安全集群,使用:
        RestHighLevelClient client = getClient(Arrays.asList("x.x.x.x"), 9200, "http");

        /*
         *  对于开启了https的安全集群,使用:
         *  RestHighLevelClient client = getClient(Arrays.asList("x.x.x.x", "x.x.x.x"), 9200, "https", "user_name", "password");
         *  对于未开启https的安全集群,使用:
         *  RestHighLevelClient client = getClient(Arrays.asList("x.x.x.x", "x.x.x.x"), 9200, "http", "user_name", "password");
         */

        ClientExampleOS example = new ClientExampleOS(client);
        String indexName = "my_index";

        // 创建索引
        example.create(indexName);

        // 写入数据
        List<float[]> data = Arrays.asList(new float[]{1.0f, 1.0f}, new float[]{2.0f, 2.0f}, new float[]{3.0f, 3.0f});
        example.write(indexName, data);

        // 查询索引
        float[] queryVector = new float[]{1.0f, 1.0f};
        example.search(indexName, queryVector, 3);

        // 删除索引
        example.delete(indexName);

        // 关闭客户端
        example.close();
    }
}