在我之前的文章 “Elasticsearch：Java 运用示例”，我讲述了如何在 Java 应用中创建一个索引，并写入数据。在今天的例子中，我来着重讲述如何有目的地创建按照我们需求的索引，并介绍几种常见的方法写入数据。

安装

我们首先参考如下的文章来安装我们需要的 Elasticsearch 及 Kibana：

• 如何在 Linux，MacOS 及 Windows 上进行安装 Elasticsearch
• Kibana：如何在 Linux，MacOS 及 Windows上安装 Elastic 栈中的 Kibana

针对我们如下的练习，我们的 Elasticsearch 的访问地址为 http://localhost:9200。

此外，针对 Elastic Stack 7.15 及以后的版本，强烈建议对 Elasticsearch 进行安全配置。你可以参考文章 “Elasticsearch：设置 Elastic 账户安全”。我的 Elasticsearch 集群的超级用户 elastic 的密码为 password。

创建 Java 应用

我们用自己喜欢的 IDE 创建一个 Java 应用。在本例tgcode中，我将创建一个 Maven 应用：

pom.xml

    4.0.0

    org.liuxg
    Elasticsearch-Java
    1.0-SNAPSHOT

    
        
            org.elasticsearch.client
            elasticsearch-rest-high-level-client
            ${elastic.version}
        
        
            org.elasticsearch.client
            elasticsearch-rest-client
            ${elastic.version}
        
        
            org.elasticsearch
            elasticsearch
            ${elastic.version}
        
        
            com.fasterxml.jackson.core
            jackson-databind
            2.11.1
        
    

    
        8
        8
        7.15.0
    

在上面，我们创建一个叫做ElasticsearchJava 的 class：

ElasticsearchJava.java

import org.apache.http.HttpHost;
import org.apache.http.auth.AuthScope;
import org.apache.http.auth.UsernamePasswordCredentials;
import org.apache.http.impl.client.BasicCredentialsProvider;
import org.apache.http.impl.nio.client.HttpAsyncClientBuilder;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestClientBuilder;
import org.elasticsearch.client.RestHighLevelClient;

public class ElasticsearchJava {

    private static RestHighLevelClient client = null;

    private static synchronized RestHighLevelClient makeConnection() {
        final BasicCredentialsProvider basicCredentialsProvider = new BasicCredentialsProvider();
        basicCredentialsProvider
                .setCredentials(AuthScope.ANY, new UsernamePasswordCredentials("elastic", "password"));

        if (client == null) {
            client = new RestHighLevelClient(
                    RestClient.builder(new HttpHost("localhost", 9200, "http"))
                            .setHttpClientConfigCallback(new RestClientBuilder.HttpClientConfigCallback() {
                                @Override
                                public HttpAsyncClientBuilder customizeHttpClient(HttpAsyncClientBuilder httpClientBuilder) {
                                    httpClientBuilder.disableAuthCaching();
                                    return httpClientBuilder.setDefaultCredentialsProvider(basicCredentialsProvider);
                                }
                            })
            );
        }

        return client;
    }

    public static void main(String[] args) {
        client = makeConnection();
    }

}

在上面，我们创建了一个和 Elasticsearch 的连接。请注意我们使用了超级用户 elastic 极其密码。如果我们没有为我们的集群设置密码的话，我们其实可以非常简单地使用如下的代码来进行连接：

    private static synchronized RestHighLevelClient makeConnection() {
 
        if(client == null) {
            restHighLevelClient = new RestHighLevelClient(
                    RestClient.builder( new HttpHost("localhost", "9200", "http")));
        }
 
        return client;
    }

接下来，我们参照 Elastic 官方文档 “Create Index API”，我们使用如下的代码：

    public static void main(String[] args) throws IOException {
        client = makeConnection();

        CreateIndexRequest request = new CreateIndexRequest("employees");
        request.settings(Settings.builder()
                .put("index.number_of_shards", 1)
                .put("index.number_of_replicas", 0)
        );
        CreateIndexResponse createIndexResponse = client.indices().create(request, RequestOptions.DEFAULT);
        System.out.println("response id: " + createIndexResponse.index());

    }

}

在上面，我们建立一个连接，并创建一个叫做 employees 的索引。请注意在索引的名字中，我们不可以有大写字母，否则会导致错误。在上面，我们设置 number_of_shards 为1， number_of_replicas 为0。上面代码的输出为：

response id: employees

我们可以使用 Kibana 来检查我们的结果：

从上面的结果中，我们可以看出来 employees 索引已经被成功地创建。

也许你对创建一个索引的 mapping 也感兴趣，那么你可以使用如下的代码来实现：

    public static void main(String[] args) throws IOException {
        client = makeConnection();
        String mappings = "{n" +
                "  "properties": {n" +
                "    "id": {n" +
                "      "type": "keyword"n" +
                "    },n" +
                "    "name": {n" +
                "      "type": "text"n" +
                "    }n" +                "  }n" +
                "}";
        System.out.println("mapping is as follows: ");
        System.out.println(mappings);

        try {
            CreateIndexRequest request = new CreateIndexRequest("employees");
            request.settings(Settings.builder()
                    .put("index.number_of_shards", 1)
                    .put("index.number_of_replicas", 0)
            );

            request.mapping(mappings, XContentType.JSON);
            CreateIndexResponse createIndexResponse = client.indices().create(request, RequestOptions.DEFAULT);
            System.out.println("response id: " + createIndexResponse.index());
        } catch (Exception e) {
//            e.printStackTrace();
        }
    }

上面代码运行的结果为：

mapping is as follows: 
{
  "properties": {
    "id": {
      "type": "keyword"
    },
    "name": {
      "type": "text"
    }
  }
}
response id: employees

我们可以在 Kibana 中进行查看：

GET employees/_mapping

上面命令的结果为：

{
  "employees" : {
    "mappings" : {
      "properties" : {
        "id" : {
          "type" : "keyword"
        },
        "name" : {
          "type" : "text"
        }
      }
    }
  }
}

上面的代码类似于 Kibana 中如下的命令：

PUT employees
{
  "settings": {
    "number_of_shards": 1, 
    "number_of_replicas": 0
  }, 
  "mappings": {
    "properties": {
      "id": {
        "type": "keyword"
      },
      "name": {
        "type": "text"
      }
    }
  }
}

上面的命令创建一个叫做 employees 的索引，并对它进行设置和定义mappings。

接下来，我们参照另外一个文档 “Index API” 来对已经创建的索引进行写入操作：

        // Write documents into employees index
        IndexRequest request = new IndexRequest("employees");
        request.id("1");
        String jsonString = "{" +
                ""id":"1"," +
                ""name":"liuxg"" +
                "}";
        request.source(jsonString, XContentType.JSON);

        IndexResponse indexResponse = client.index(request, RequestOptions.DEFAULT);
        System.out.println("response id: "+indexResponse.getId());
        System.out.println("response name: "+indexResponse.getResult().name());

上面的代码想已经创建的 employees 索引写入文档。其中的文档时以 JSON 形式写入的。当然如果我们之前没有创建 employees 这个索引，上面的 API 也将会自动帮我们生成 employees 这个索引，并把相应的文档写入。当然这个索引的 settings 及 mappings 也许不是我们想要的，而是系统按照默认的方式给出的。

上面的命令类似于在 Kibana 中的如下的命令：

PUT employees/_doc/1 
{
  "id": "1",
  "name": "liuxg"
}

我们重新编译并运行我们的代码：

mapping is as follows: 
{
  "properties": {
    "id": {
      "type": "keyword"
    },
    "name": {
      "type": "text"
    }
  }
}
response id: 1
response name: CREATED

运行完后，我们可以在 Kibana 中通过如下的方式来进行查看：

GET employees/_search

上面的命令显示的结果为：

{
  "took" : 7,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "succestgcodesful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 1,
      "relation" : "eq"
    },
    "max_score" : 1.0,
    "hits" : [
      {
        "_index" : "employees",
        "_type" : "_doc",
        "_id" : "1",
        "_score" : 1.0,
        "_source" : {
          "id" : "1",
          "name" : "liuxg"
        }
      }
    ]
  }
}

我们可以看到文档已经被正确地写入了。

接下来，我们介绍另外一种写入的方法：

        // Method 2: Write documents into employees index
        Map jsonMap = new HashMap();
        jsonMap.put("id", "2");
        jsonMap.put("name", "Nancy");
        IndexRequest indexRequest = new IndexRequest("employees")
                .id("2").source(jsonMap);
        IndexResponse indexResponse2 = client.index(indexRequest, RequestOptions.DEFAULT);
        System.out.println("response id: "+indexResponse2.getId());
        System.out.println("response name: "+indexResponse2.getResult().name());

运行代码：

mapping is as follows: 
{
  "properties": {
    "id": {
      "type": "keyword"
    },
    "name": {
      "type": "text"
    }
  }
}
response id: 1
response name: UPDATED
response id: 2
response name: CREATED

我们重新在 Kibana 中进行查看：

GET employees/_search

上面的命令显示的结果为：

{
  "took" : 165,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 2,
      "relation" : "eq"
    },
    "max_score" : 1.0,
    "hits" : [
      {
        "_index" : "employees",
        "_type" : "_doc",
        "_id" : "1",
        "_score" : 1.0,
        "_source" : {
          "id" : "1",
          "name" : "liuxg"
        }
      },
      {
        "_index" : "employees",
        "_type" : "_doc",
        "_id" : "2",
        "_score" : 1.0,
        "_source" : {
          "name" : "Nancy",
          "id" : "2"
        }
      }
    ]
  }
}

我们看到文档 2 已经被正确地写入。

按照官方的文档，我们可以有另外一种写入的方法：

       // Method 3: Write documents into employees index
        XContentBuilder builder = XContentFactory.jsonBuilder();
        builder.startObject();
        {
            builder.field("id", "3");
            builder.field("name", "Jason");
        }
        builder.endObject();
        IndexRequest indexRequest3 = new IndexRequest("employees")
                .id("3").source(builder);
        IndexResponse indexResponse3 = client.index(indexRequest3, RequestOptions.DEFAULT);
        System.out.println("response id: "+indexResponse3.getId());
        System.out.println("response name: "+indexResponse3.getResult().name());

还有：

        // Method 4: Write documents into employees index
        IndexRequest indexRequest4 = new ItgcodendexRequest("employees")
                .id("4")
                .source("id", "4",
                        "name", "Mark");
        IndexResponse indexResponse4 = client.index(indexRequest4, RequestOptions.DEFAULT);
        System.out.println("response id: "+indexResponse4.getId());
        System.out.println("response name: "+indexResponse4.getResult().name());

运行上面的代码，我们可以在 Kibana 中进行查看：

    "hits" : [
      {
        "_index" : "employees",
        "_type" : "_doc",
        "_id" : "1",
        "_score" : 1.0,
        "_source" : {
          "id" : "1",
          "name" : "liuxg"
        }
      },
      {
        "_index" : "employees",
        "_type" : "_doc",
        "_id" : "2",
        "_score" : 1.0,
        "_source" : {
          "name" : "Nancy",
          "id" : "2"
        }
      },
      {
        "_index" : "employees",
        "_type" : "_doc",
        "_id" : "3",
        "_score" : 1.0,
        "_source" : {
          "id" : "3",
          "name" : "Jason"
        }
      },
      {
        "_index" : "employees",
        "_type" : "_doc",
        "_id" : "4",
        "_score" : 1.0,
        "_source" : {
          "id" : "4",
          "name" : "Mark"
        }
      }
    ]

最后，我们创建一个叫做 Employee 的 Java class：

Employee.java

public class Employee {
    private String id;
    private String name;

    public Employee(String id, String name) {
        this.id = id;
        this.name = name;
    }

    public String getId() {
        return id;
    }

    public String getName() {
        return name;
    }

    public void setId(String id) {
        this.id = id;
    }

    public void setName(String name) {
        this.name = name;
    }
}

在上面一定要注意的是要实现 setters 及 getters。

我们接下来使用如下的代码来写入：

        //  Method 5: Write documents into employees index
        Employee employee = new Employee("5", "Martin");
        IndexRequest indexRequest5 = new IndexRequest("employees");
        indexRequest.id("5");
        indexRequest.source(new ObjectMapper().writeValueAsString(employee), XContentType.JSON);
        IndexResponse indexResponse5 = client.index(indexRequest, RequestOptions.DEFAULT);
        System.out.println("response id: "+indexResponse5.getId());
        System.out.println("response name: "+indexResponse5.getResult().name());

重新运行代码，并在 Kibana 中进行查看：

GET employees/_search

我们可以看到如下的结果：

    "hits" : [
      {
        "_index" : "employees",
        "_type" : "_doc",
        "_id" : "1",
        "_score" : 1.0,
        "_source" : {
          "id" : "1",
          "name" : "liuxg"
        }
      },
      {
        "_index" : "employees",
        "_type" : "_doc",
        "_id" : "2",
        "_score" : 1.0,
        "_source" : {
          "name" : "Nancy",
          "id" : "2"
        }
      },
      {
        "_index" : "employees",
        "_type" : "_doc",
        "_id" : "3",
        "_score" : 1.0,
        "_source" : {
          "id" : "3",
          "name" : "Jason"
        }
      },
      {
        "_index" : "employees",
        "_type" : "_doc",
        "_id" : "4",
        "_score" : 1.0,
        "_source" : {
          "id" : "4",
          "name" : "Mark"
        }
      },
      {
        "_index" : "employees",
        "_type" : "_doc",
        "_id" : "5",
        "_score" : 1.0,
        "_source" : {
          "id" : "5",
          "name" : "Martin"
        }
      }
    ]

为了方便大家学习，我把源码放于 github：https://github.com/liu-xiao-guo/Elasticsearch-java