标签：rtb model 模型 obj 学习 程序 var nic end
用scala语言，开发好了在spark平台上可以一直运行的机器学习模型
现在有个需求：
要远程调用该模型的一些方法并获取结果
那么可以使用jetty在服务器端主节点占用一个端口然后对外提供http服务
import javax.servlet.http.{HttpServletRequest, HttpServletResponse}
import com.xxx.rec.basic.ccam.CanonicalCorrelationAnalysisModel
import org.mortbay.jetty.{HttpStatus, Request, Server}
import org.mortbay.jetty.handler._
object CannonicalCorrelationAnalysisModelJerseyServer
extends AbstractHandler{
var model: CanonicalCorrelationAnalysisModel = null
/**
* 处理请求 返回响应
* @param target
* @param request
* @param response
* @param dispatch
*/
override def handle(target: String,
request: HttpServletRequest,
response: HttpServletResponse,
dispatch: Int): Unit = {
val url=request.getRequestURI
url.substring(url.lastIndexOf("/")+1,url.length) match {
case "recommend" => {
//request中的target 用,号分割
val target: Seq[String] = request.getParameter("target").split(",").toSeq
val topNum: Int = request.getParameter("topNum").toInt
val result = model.recommend(target, topNum)
response.setStatus(HttpStatus.ORDINAL_200_OK);
response.getWriter().println(result.mkString(","))
request.asInstanceOf[Request].setHandled(true)
response.getWriter.close()
}
case _ => {
response.setStatus(HttpStatus.ORDINAL_404_Not_Found);
request.asInstanceOf[Request].setHandled(true)
}
}
}
def main(args: Array[String]): Unit = {
import org.apache.spark.{SparkConf, SparkContext}
val sparkConf = new SparkConf().setAppName("CanonicalCorrelationAnalysisModelDemo")
val textFilePath = "file:///home/xxx/xxx.txt"
val sc = new SparkContext(sparkConf)
val data = sc.textFile(textFilePath).map { line =>
line.split(‘ ‘)
}.cache()
model = CanonicalCorrelationAnalysisModel.createModel(data, 0.3, 5)
val server=new Server(9998)
server.setHandler(this)
server.start()
}
}
该程序运行后占用了服务器端主节点的9998端口，通过http访问即可
标签：rtb model 模型 obj 学习 程序 var nic end
原文地址：https://www.cnblogs.com/itboys/p/9314617.html
