如何使用Java将CSV文件索引到Elastic Search中？

import org.elasticsearch.action.bulk.BulkRequest;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.xcontent.XContentType;
import org.elasticsearch.index.mapper.ObjectMapper;
import org.elasticsearch.index.mapper.ObjectMapper.Builder;
import org.elasticsearch.index.mapper.ObjectMappers;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.sort.SortBuilders;

import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;

public class CSVIndexer {

    private static final String INDEX_NAME = "your_index_name";
    private static final String FILE_PATH = "path_to_your_csv_file";

    public static void main(String[] args) {
        try (RestHighLevelClient client = new RestHighLevelClient(/*Elasticsearch连接配置*/)) {
            // 创建索引
            createIndex(client);

            // 读取CSV文件并索引到Elasticsearch
            indexCSVFile(client);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    private static void createIndex(RestHighLevelClient client) throws IOException {
        // 使用Create Index API创建索引
        // 请根据实际需求调整索引的设置和映射
        // 以下示例创建了一个名为your_index_name的索引，包含一个名为your_field_name的文本字段
        org.elasticsearch.client.indices.CreateIndexRequest request =
                new org.elasticsearch.client.indices.CreateIndexRequest(INDEX_NAME);
        request.mapping(getMappingSource(), XContentType.JSON);
        client.indices().create(request, RequestOptions.DEFAULT);
    }

    private static Builder getMappingSource() {
        // 定义索引的映射
        ObjectMapper.Builder builder = new ObjectMapper.Builder("your_field_name");
        builder.field(ObjectMappers.STRING_FIELD);
        return builder;
    }

    private static void indexCSVFile(RestHighLevelClient client) throws IOException {
        try (BufferedReader br = new BufferedReader(new FileReader(FILE_PATH))) {
            String line;
            BulkRequest bulkRequest = new BulkRequest();

            while ((line = br.readLine()) != null) {
                // 解析CSV行并构建文档
                YourObject document = parseCSVLine(line);

                // 索引文档
                IndexRequest indexRequest = new IndexRequest(INDEX_NAME).source(document.toJson(), XContentType.JSON);
                bulkRequest.add(indexRequest);
            }

            // 批量索引文档
            if (bulkRequest.numberOfActions() > 0) {
                client.bulk(bulkRequest, RequestOptions.DEFAULT);
            }
        }
    }

    private static YourObject parseCSVLine(String line) {
        // 解析CSV行并返回对应的Java对象
        // 根据CSV文件的结构和业务需求进行解析
        // 示例中使用了逗号作为分隔符，具体情况请根据实际CSV文件调整
        String[] values = line.split(",");

        // 创建您自己的Java对象，并设置字段值
        YourObject document = new YourObject();
        document.setField1(values[0]);
        document.setField2(values[1]);
        // ...

        return document;
    }
}