SpringBoot与Kotlin整合全文搜索引擎Elasticsearch的示例代码

dependencies {
 compile "org.elasticsearch:elasticsearch:$elasticsearch_version"
 compile "org.elasticsearch.client:transport:$elasticsearch_version"
}

group 'name.quanke.kotlin'
version '1.0-SNAPSHOT'
buildscript {
 ext.kotlin_version = '1.2.10'
 ext.spring_boot_version = '1.5.4.RELEASE'
 ext.springfox_swagger2_version = '2.7.0'
 ext.MySQL_version = '5.1.21'
 ext.mybatis_version = '1.1.1'
 ext.elasticsearch_version = '5.5.1'
 ext.fastjson_version = '1.2.7'
 repositories {
  mavenCentral()
 }
 dependencies {
  classpath "org.jetbrains.kotlin:kotlin-gradle-plugin:$kotlin_version"
  classpath("org.springframework.boot:spring-boot-gradle-plugin:$spring_boot_version")

//  Kotlin整合SpringBoot的默认无参构造函数，默认把所有的类设置open类插件
  classpath("org.jetbrains.kotlin:kotlin-noarg:$kotlin_version")
  classpath("org.jetbrains.kotlin:kotlin-allopen:$kotlin_version")
 }
}

apply plugin: 'kotlin'
apply plugin: "kotlin-spring" // See https://kotlinlang.org/docs/reference/compiler-plugins.html#kotlin-spring-compiler-plugin
apply plugin: 'org.springframework.boot'
apply plugin: "kotlin-jpa" //https://stackoverflow.com/questions/32038177/kotlin-with-jpa-default-constructor-hell
jar {
 baseName = 'chapter11-6-8-service'
 version = '0.1.0'
}
repositories {
 mavenCentral()
}

dependencies {
 compile "org.jetbrains.kotlin:kotlin-stdlib-jre8:$kotlin_version"
 compile("org.jetbrains.kotlin:kotlin-reflect:${kotlin_version}")
 compile "org.springframework.boot:spring-boot-starter-web:$spring_boot_version"
 compile "org.elasticsearch:elasticsearch:$elasticsearch_version"
 compile "org.elasticsearch.client:transport:$elasticsearch_version"
 compile "com.alibaba:fastjson:$fastjson_version"
 compile "org.apache.commons:commons-lang3:3.6"
 testCompile "org.springframework.boot:spring-boot-starter-test:$spring_boot_version"
 testCompile "org.jetbrains.kotlin:kotlin-test-junit:$kotlin_version"

}

compileKotlin {
 kotlinOptions.jvmTarget = "1.8"
}
compileTestKotlin {
 kotlinOptions.jvmTarget = "1.8"
}

import com.alibaba.fastjson.JSON
import com.alibaba.fastjson.serializer.SerializerFeature
import org.elasticsearch.action.search.SearchResponse
import org.elasticsearch.client.transport.TransportClient
import org.elasticsearch.common.settings.Settings
import org.elasticsearch.common.transport.InetSocketTransportAddress
import org.elasticsearch.transport.client.PreBuiltTransportClient
import org.junit.After
import org.junit.Before
import java.net.InetAddress

/**
 * Elasticsearch 5.5.1 的client 和 ElasticsearchTemplate的初始化
 * 作为一个外部访问者，请求ES的集群，对于集群而言，它是一个外部因素。
 * Created by http://quanke.name on 2017/11/10.
 */
open class ElasticsearchClient {

 protected var client: TransportClient? = null
 @Before
 @Throws(Exception::class)
 fun setUp() {
  val esSettings = Settings.builder()
    .put("cluster.name", "utan-es") //设置ES实例的名称
    .put("client.transport.sniff", true) //自动嗅探整个集群的状态，把集群中其他ES节点的ip添加到本地的客户端列表中
    .build()

  /**
   * 这里的连接方式指的是没有安装x-pack插件,如果安装了x-pack则参考 [ElasticsearchXPackClient]
   * 1. java客户端的方式是以tcp协议在9300端口上进行通信
   * 2. http客户端的方式是以http协议在9200端口上进行通信
   */
  client = PreBuiltTransportClient(esSettings)
    .addTransportAddress(InetSocketTransportAddress(InetAddress.getByName("192.168.1.10"), 9300))

  println("ElasticsearchClient 连接成功")
 }

 @After
 @Throws(Exception::class)
 fun tearDown() {
  if (client != null) {
   client!!.close()
  }

 }

 protected fun println(searchResponse: SearchResponse) {
  val searchHits = searchResponse.hits.hits
  for (searchHit in searchHits) {
   println(JSON.toJSONString(searchHit.source, SerializerFeature.PrettyFormat))
  }
 }
}

import org.elasticsearch.index.query.QueryBuilders.matchAllQuery
import org.junit.Test
import org.junit.runner.RunWith
import org.springframework.boot.test.context.SpringBootTest
import org.springframework.test.context.junit4.SpringRunner
/**
 * Created by http://quanke.name on 2018/1/9.
 */
@RunWith(SpringRunner::class)
@SpringBootTest
class ApplicationTests : ElasticsearchClient() {

 @Test
 fun `es test"`() {
  val qb = matchAllQuery()
  val response = client!!.prepareSearch("twitter")//可以是多个index
    .setTypes("tweet")//可以是多个类型
    .setQuery(qb) // Query 查询条件
    .get()
  println(response)
 }
}