内容简介:上篇谈到:elasticsearch本身是一个完整的后台系统,对其的操作使用是通过终端api进行的。elasticsearch本身提供了多种编程语言的api,包括java的esjava。而elastic4s是一套基于esjava之上的scala api。先看看scala 终端 ElasticClient的构建过程:先构建JavaClient,JavaClient包嵌了个esjava的RestClient进行具体的操作:
上篇谈到:elasticsearch本身是一个完整的后台系统,对其的操作使用是通过终端api进行的。elasticsearch本身提供了多种编程语言的api,包括 java 的esjava。而elastic4s是一套基于esjava之上的scala api。
先看看scala 终端 ElasticClient的构建过程:
import com.sksamuel.elastic4s.ElasticDsl._
val esjava = JavaClient(ElasticProperties("http://localhost:9200"))
val client = ElasticClient(esjava)
先构建JavaClient,JavaClient包嵌了个esjava的RestClient进行具体的操作:
class JavaClient(client: RestClient) extends HttpClient {
...
//send request to elasticsearch
override def send(req: ElasticRequest, callback: Either[Throwable, HttpResponse] => Unit): Unit = {
if (logger.isDebugEnabled) {
logger.debug("Executing elastic request {}", Show[ElasticRequest].show(req))
}
val l = new ResponseListener {
override def onSuccess(r: org.elasticsearch.client.Response): Unit = callback(Right(fromResponse(r)))
override def onFailure(e: Exception): Unit = e match {
case re: ResponseException => callback(Right(fromResponse(re.getResponse)))
case t => callback(Left(JavaClientExceptionWrapper(t)))
}
}
val request = new Request(req.method, req.endpoint)
req.params.foreach { case (key, value) => request.addParameter(key, value) }
req.entity.map(apacheEntity).foreach(request.setEntity)
//perform actual request sending
client.performRequestAsync(request, l)
}
...
}
上面这个RestClient即是elasticsearch提供的javaClient。而elastic4s的具体操作是通过RestClient.performRequestAsync进行的,如下:
public class RestClient implements Closeable {
...
/**
* Sends a request to the Elasticsearch cluster that the client points to.
* The request is executed asynchronously and the provided
* {@link ResponseListener} gets notified upon request completion or
* failure. Selects a host out of the provided ones in a round-robin
* fashion. Failing hosts are marked dead and retried after a certain
* amount of time (minimum 1 minute, maximum 30 minutes), depending on how
* many times they previously failed (the more failures, the later they
* will be retried). In case of failures all of the alive nodes (or dead
* nodes that deserve a retry) are retried until one responds or none of
* them does, in which case an {@link IOException} will be thrown.
*
* @param request the request to perform
* @param responseListener the {@link ResponseListener} to notify when the
* request is completed or fails
*/
public void performRequestAsync(Request request, ResponseListener responseListener) {
try {
FailureTrackingResponseListener failureTrackingResponseListener = new FailureTrackingResponseListener(responseListener);
InternalRequest internalRequest = new InternalRequest(request);
performRequestAsync(nextNodes(), internalRequest, failureTrackingResponseListener);
} catch (Exception e) {
responseListener.onFailure(e);
}
}
...
}
另外,ElasticProperties是一个javaClient与ES连接的参数结构,包括IP地址:
/** * Contains the endpoints of the nodes to connect to, as well as connection properties. */ case class ElasticProperties(endpoints: Seq[ElasticNodeEndpoint], options: Map[String, String] = Map.empty)
ElasticProperties包含了ES地址ElasticNodeEndPoint及其它连接参数(如果需要的话),如下:
it should "support prefix path with trailing slash" in {
ElasticProperties("https://host1:1234,host2:2345/prefix/path/") shouldBe
ElasticProperties(Seq(ElasticNodeEndpoint("https", "host1", 1234, Some("/prefix/path")), ElasticNodeEndpoint("https", "host2", 2345, Some("/prefix/path"))))
}
当elastic4s完成了与elasticsearch的连接之后,就可以把按ES要求组合的Json指令发送到后台ES去执行了。elastic4s提供了一套DSL, 一种嵌入式语言,可以帮助用户更方便的用编程模式来组合ES的指令Json。当然,用户也可以直接把字符类的Json直接通过ElasticClient发送到后台ES。下面是一个简单可以运行的elastic4s示范:
import com.sksamuel.elastic4s.http.JavaClient
import com.sksamuel.elastic4s.requests.common.RefreshPolicy
import com.sksamuel.elastic4s.{ElasticClient, ElasticProperties}
object HttpClientExampleApp extends App {
// you must import the DSL to use the syntax helpers
import com.sksamuel.elastic4s.ElasticDsl._
val esjava = JavaClient(ElasticProperties("http://localhost:9200"))
val client = ElasticClient(esjava)
client.execute {
bulk(
indexInto("books" ).fields("title" -> "重庆火锅的十种吃法", "content" -> "在这部书里描述了火锅的各种烹饪方式"),
indexInto("books" ).fields("title" -> "中国火锅大全", "content" -> "本书是全国中式烹饪中有关火锅的各种介绍")
).refresh(RefreshPolicy.WaitFor)
}.await
val json =
"""
|{
| "query" : {
| "match" : {"title" : "火锅"}
| }
|}
|""".stripMargin
val response = client.execute {
search("books").source(json) // .matchQuery("title", "火锅")
}.await
// prints out the original json
println(response.result.hits.hits.head.sourceAsString)
client.close()
}
以上就是本文的全部内容,希望本文的内容对大家的学习或者工作能带来一定的帮助,也希望大家多多支持 码农网
猜你喜欢:- 终端依赖者福利:终端也能实现翻译功能了
- 程序员必备之终端模拟器,让你的终端世界多一抹“颜色”
- 程序员必备之终端模拟器,让你的终端世界多一抹 “颜色”
- 漫淡终端技术未来
- Golang获取终端输入
- 终端复用神器Tmux
本站部分资源来源于网络,本站转载出于传递更多信息之目的,版权归原作者或者来源机构所有,如转载稿涉及版权问题,请联系我们。
京东平台运营攻略(全彩)
京东商学院 / 电子工业出版社 / 2015-5 / 69.00元
2014 年年末,京东POP 开放平台的入驻商家已超过6 万,京东平台被广泛关注和认可的同时,在电商江湖中仍颇具神秘色彩。面对碎片化的信息,京东的店铺经营者及希望入驻京东的准商家们,对于在京东如何利用丰富的各类平台资源,搭建并运营京东店铺,一直很难找到全面而系统的资料。 《京东平台运营攻略(全彩)》由京东官方出品,动员了京东内部涉及第三方店铺业务线的众多部门,由多位业务精英参与撰写,保证了内......一起来看看 《京东平台运营攻略(全彩)》 这本书的介绍吧!