我是第一次在ES上工作。我正在尝试将批量json文件上传到Java中的新Elasticsearch索引中,但出现错误

问题描述 投票:0回答:1

我正在创建一个新索引,然后映射json数据

        CreateIndexRequest request = new CreateIndexRequest("demoreport");
        request.mapping(
            "{\n" +
                    "      \"properties\": {\n" +
                    "        \"Identifier code\": {\n" +
                    "          \"type\": \"char(3)\"\n" +
                    "        },\n" +
                    "        \"User ID\": {\n" +
                    "          \"type\": \"char(38)\"\n" +
                    "        },\n" +
                    "      }\n" +
                    "}",XContentType.JSON);
  HttpPost post = new HttpPost("http://localhost:9200/demoreport/_doc/5");

我的JSON文件:

[
{
    "IDENTIFIER_CD": "PT ",
    "USER_ID": "123458 
}
{
    "IDENTIFIER_CD": "SR ",
    "USER_ID": "12345678  
}
]

我收到错误提示:

java.lang.IllegalArgumentException:映射源必须是一对字段名称和属性定义。

这里是完整的代码:在这里,我试图将数据库生成的Json文件发布到elasticsearch服务器。

import org.apache.http.client.methods.HttpPost;
import org.apache.http.entity.FileEntity;
import org.apache.http.impl.client.DefaultHttpClient;
import org.elasticsearch.action.admin.indices.create.CreateIndexRequest;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.common.xcontent.XContentFactory;
import org.elasticsearch.common.xcontent.XContentType;
public class MyScheduler {
public static void send() {
    CreateIndexRequest request = new CreateIndexRequest("kibanareport");
    request.settings(Settings.builder()
            .put("index.number_of_shards", 20)
            .put("index.number_of_replicas", 10)
    );
    request.mapping(
            "{\n" +
                    "      \"properties\": {\n" +
                    "        \"user_ID\": {\n" +
                    "          \"type\": \"text\"\n" +
                    "        },\n" +
                    "        \"doc_ID\": {\n" +
                    "          \"type\": \"text\"\n" +
                    "        },\n" +
                    "      }\n" +
                    "}", XContentType.JSON);
    Map<String, Object> message = new HashMap<>();
    message.put("type", "text");
    Map<String, Object> properties = new HashMap<>();
    properties.put("message", message);
    Map<String, Object> mapping = new HashMap<>();
    mapping.put("properties", properties);
    XContentBuilder builder = XContentFactory.jsonBuilder();
    builder.startObject();
    {
        builder.startObject("properties");
        {
            builder.startObject("message");
            {
                builder.field("type", "text");
            }
            builder.endObject();
        }
        builder.endObject();
    }
    builder.endObject();
    String fileName = "downloads/JSONFile.json";
    File jsonFile = new File(fileName);
    HttpEntity entity = new FileEntity(jsonFile);
    HttpPost post = new
            HttpPost("http://localhost:9200/kibanareport/_doc");
    post.setEntity(entity);
    HttpClient client = new DefaultHttpClient();
    post.addHeader("content-type", "application/json");
    post.addHeader("Accept", "application/json");
    HttpResponse response = client.execute(post);
    System.out.println("Response: " + response);
  }
}
java json elasticsearch mapping bulk
1个回答
0
投票

您在CreateIndexRequest中使用的数据类型char(3)是错误的。请参阅此Elasticsearch文档以获取Elasticsearch https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-types.html

支持的字段数据类型。

当前用于您的映射,因为text是字符串,所以Identifier code数据类型是字符串,Integer字段是User ID。您可以根据需要进行更改。

这里,是更新的CreateIndexRequest

CreateIndexRequest request = new CreateIndexRequest("demoreport");
    request.mapping(
                "{\n" +
                "      \"properties\": {\n" +
                "        \"Identifier code\": {\n" +
                "          \"type\": \"text\"\n" +
                "        },\n" +
                "        \"User ID\": {\n" +
                "          \"type\": \"integer\"\n" +
                "        }\n" +
                "      }\n" +
                "}",XContentType.JSON);
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