Document APIs - Index API
优质
小牛编辑
127浏览
2023-12-01
Index API
Index API 允许我们存储一个JSON格式的文档,使数据可以被搜索。文档通过index、type、id唯一确定。我们可以自己提供一个id,或者也使用Index API 为我们自动生成一个。
这里有几种不同的方式来产生JSON格式的文档(document):
- 手动方式,使用原生的byte[]或者String
- 使用Map方式,会自动转换成与之等价的JSON
- 使用第三方库来序列化beans,如Jackson
- 使用内置的帮助类 XContentFactory.jsonBuilder()
手动方式
String json = "{" +
"\"user\":\"kimchy\"," +
"\"postDate\":\"2013-01-30\"," +
"\"message\":\"trying out Elasticsearch\"" +
"}";
实例
/**
* 手动生成JSON
*/
@Test
public void CreateJSON(){
String json = "{" +
"\"user\":\"fendo\"," +
"\"postDate\":\"2013-01-30\"," +
"\"message\":\"Hell word\"" +
"}";
IndexResponse response = client.prepareIndex("fendo", "fendodate")
.setSource(json)
.get();
System.out.println(response.getResult());
}
Map方式
Map是key:value数据类型,可以代表json结构.
Map<String, Object> json = new HashMap<String, Object>();
json.put("user","kimchy");
json.put("postDate",new Date());
json.put("message","trying out Elasticsearch");
实例
/**
* 使用集合
*/
@Test
public void CreateList(){
Map<String, Object> json = new HashMap<String, Object>();
json.put("user","kimchy");
json.put("postDate","2013-01-30");
json.put("message","trying out Elasticsearch");
IndexResponse response = client.prepareIndex("fendo", "fendodate")
.setSource(json)
.get();
System.out.println(response.getResult());
}
序列化方式
ElasticSearch已经使用了jackson,可以直接使用它把javabean转为json.
import com.fasterxml.jackson.databind.*;
// instance a json mapper
ObjectMapper mapper = new ObjectMapper(); // create once, reuse
// generate json
byte[] json = mapper.writeValueAsBytes(yourbeaninstance);
实例
/**
* 使用JACKSON序列化
* @throws Exception
*/
@Test
public void CreateJACKSON() throws Exception{
CsdnBlog csdn=new CsdnBlog();
csdn.setAuthor("fendo");
csdn.setContent("这是JAVA书籍");
csdn.setTag("C");
csdn.setView("100");
csdn.setTitile("编程");
csdn.setDate(new Date().toString());
// instance a json mapper
ObjectMapper mapper = new ObjectMapper(); // create once, reuse
// generate json
byte[] json = mapper.writeValueAsBytes(csdn);
IndexResponse response = client.prepareIndex("fendo", "fendodate")
.setSource(json)
.get();
System.out.println(response.getResult());
}
XContentBuilder帮助类方式
ElasticSearch提供了一个内置的帮助类XContentBuilder来产生JSON文档
// Index name
String _index = response.getIndex();
// Type name
String _type = response.getType();
// Document ID (generated or not)
String _id = response.getId();
// Version (if it's the first time you index this document, you will get: 1)
long _version = response.getVersion();
// status has stored current instance statement.
RestStatus status = response.status();
实例
/**
* 使用ElasticSearch 帮助类
* @throws IOException
*/
@Test
public void CreateXContentBuilder() throws IOException{
XContentBuilder builder = XContentFactory.jsonBuilder()
.startObject()
.field("user", "ccse")
.field("postDate", new Date())
.field("message", "this is Elasticsearch")
.endObject();
IndexResponse response = client.prepareIndex("fendo", "fendodata").setSource(builder).get();
System.out.println("创建成功!");
}
综合实例
import java.io.IOException;
import java.net.InetAddress;
import java.net.UnknownHostException;
import java.util.Date;
import java.util.HashMap;
import java.util.Map;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.transport.InetSocketTransportAddress;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.common.xcontent.XContentFactory;
import org.elasticsearch.transport.client.PreBuiltTransportClient;
import org.junit.Before;
import org.junit.Test;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
public class CreateIndex {
private TransportClient client;
@Before
public void getClient() throws Exception{
//设置集群名称
Settings settings = Settings.builder().put("cluster.name", "my-application").build();// 集群名
//创建client
client = new PreBuiltTransportClient(settings)
.addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("127.0.0.1"), 9300));
}
/**
* 手动生成JSON
*/
@Test
public void CreateJSON(){
String json = "{" +
"\"user\":\"fendo\"," +
"\"postDate\":\"2013-01-30\"," +
"\"message\":\"Hell word\"" +
"}";
IndexResponse response = client.prepareIndex("fendo", "fendodate")
.setSource(json)
.get();
System.out.println(response.getResult());
}
/**
* 使用集合
*/
@Test
public void CreateList(){
Map<String, Object> json = new HashMap<String, Object>();
json.put("user","kimchy");
json.put("postDate","2013-01-30");
json.put("message","trying out Elasticsearch");
IndexResponse response = client.prepareIndex("fendo", "fendodate")
.setSource(json)
.get();
System.out.println(response.getResult());
}
/**
* 使用JACKSON序列化
* @throws Exception
*/
@Test
public void CreateJACKSON() throws Exception{
CsdnBlog csdn=new CsdnBlog();
csdn.setAuthor("fendo");
csdn.setContent("这是JAVA书籍");
csdn.setTag("C");
csdn.setView("100");
csdn.setTitile("编程");
csdn.setDate(new Date().toString());
// instance a json mapper
ObjectMapper mapper = new ObjectMapper(); // create once, reuse
// generate json
byte[] json = mapper.writeValueAsBytes(csdn);
IndexResponse response = client.prepareIndex("fendo", "fendodate")
.setSource(json)
.get();
System.out.println(response.getResult());
}
/**
* 使用ElasticSearch 帮助类
* @throws IOException
*/
@Test
public void CreateXContentBuilder() throws IOException{
XContentBuilder builder = XContentFactory.jsonBuilder()
.startObject()
.field("user", "ccse")
.field("postDate", new Date())
.field("message", "this is Elasticsearch")
.endObject();
IndexResponse response = client.prepareIndex("fendo", "fendodata").setSource(builder).get();
System.out.println("创建成功!");
}
}
你还可以通过startArray(string)和endArray()方法添加数组。.field()方法可以接受多种对象类型。你可以给它传递数字、日期、甚至其他XContentBuilder对象。