Java中使用elasticsearch搜索引擎实现简单、修改等操作

以下的操作环境为：jdk：1.8；elasticsearch：5.2.0

maven架包下载坐标为：

<dependency>
    <groupid>org.elasticsearch.plugin</groupid>
    <artifactid>transport-netty4-client</artifactid>
    <version>5.2.0</version>
</dependency>
<dependency>
    <groupid>org.elasticsearch</groupid>
    <artifactid>elasticsearch</artifactid>
    <version>5.2.0</version>
</dependency>
<dependency>
    <groupid>org.nlpcn</groupid>
    <artifactid>elasticsearch-sql</artifactid>
    <version>6.3.0.0</version>
</dependency>
<dependency>
    <groupid>com.alibaba</groupid>
    <artifactid>druid</artifactid>
    <version>1.1.9</version>
</dependency>
<dependency>
    <groupid>org.elasticsearch.client</groupid>
    <artifactid>transport</artifactid>
    <version>5.2.0</version>
</dependency>

java创建es连接工具类：

 

//创建连接工具类
public class esclientconnectionutil {
    public static transportclient client=null;
    public final static string host = "192.168.200.211"; //服务器部署
    public final static integer port = 9301; //端口
public static transportclient  getesclientconnection(){
    if (client == null) {
        system.setproperty("es.set.netty.runtime.available.processors", "false");
            try {
                //设置集群名称
                settings settings = settings.builder().put("cluster.name", "es5").put("client.transport.sniff", true).build();
                //创建client
                client = new prebuilttransportclient(settings).addtransportaddress(new inetsockettransportaddress(inetaddress.getbyname(host), port));
            } catch (exception ex) {
                ex.printstacktrace();
                system.out.println(ex.getmessage());
        }
    }
    return client;
}

}

 

用java命令想elasticsearch中插入数据

 

public map<string,object> addtopic(knowledgetopicdto knowledgetopicdto){
    map<string,object> map = new hashmap<>();
 //连接es
    transportclient transportclient =  esclientconnectionutil.getesclientconnection();
    jsonobject json = jsonobject.fromobject(knowledgetopicdto);//后台传过来的对象数据转换成json格式
    try{
        //index 索引名称（相当于数据库） type :类型（相当于数据库中的表）
        indexresponse response = transportclient.prepareindex("knowledge", "knowledge_theme").setsource(json, xcontenttype.json).get();
        if(null !=response.getid()){
            map.put("code",200);
            return map;
        }
    }catch (exception e){
        e.printstacktrace();
        map.put("code",500);
        return map;
    }
    return null;
}

 

使用java根据id查询数据

 

//连接es
    transportclient transportclient =  esclientconnectionutil.getesclientconnection();
//参数：索引名，类型（type） id
getresponse response = client.prepareget("knowledge", "knowledge_theme", "1")
        .setoperationthreaded(false)    // 线程安全
        .get();

 

根据id进行修改数据

 

//knowledgetopic为修改数据的对象
//修改状态后的对象转换成json数据
jsonobject fromobject= jsonobject.fromobject(knowledgetopic);
//参数：索引名，类型（type） id 要修改的json数据：fromobject
updateresponse updateresponse = client.prepareupdate("knowledge", "knowledge_theme", "1")
        .setdoc(fromobject).get();

 

es模糊查询

 

searchresponse searchresponse=null;
//连接elasticsearch
transportclient transportclient =  esclientconnectionutil.getesclientconnection();
searchresponse = client.preparesearch()
                    .setindices("knowledge")
                    .settypes("knowledge_theme")
                     .setsearchtype(searchtype.dfs_query_then_fetch)
                    .setscroll(timevalue.timevalueminutes(30)) //游标维持时间
                    .setsize(2 * 5)//实际返回的数量为10*index的主分片数
                     .setquery(querybuilders.wildcardquery("name", ("*"+name+"*").tolowercase()))  //查询的字段名及值
                    .execute()
                    .actionget();

 

以上功能本人已亲测过，都能实现，希望这对大家有所帮助