Scala版SpringBoot + Impala

工作需要做查询并导出数据的接口，考虑了SpringBoot + Spark 和 Impala，Spark只测试了本地模式，时间有限暂时没有测试yarn模式，但是Spark更适合做数据分析，查询Impala 是比较高效的，选择了以 Impala 做查询引擎。这里整合下 Impala 做个记录。不过因为项目有其他处理模块，所以只把Impala部分拆分出来，是完整的独立模块。

目录

• @SpringBootApplication
• @Controller
• @Service
• Impala查询模块
• @configuration
• Result请求结果类
• Constants常量类
• con.properties
• application.properties
• pom.xml

---

 

层级关系 

 

@SpringBootApplication

package com.sm

import org.springframework.boot.SpringApplication
import org.springframework.boot.autoconfigure.{EnableAutoConfiguration, SpringBootApplication}
import org.springframework.context.annotation.ComponentScan

/**
  * SpringBoot 入口
  *
  * create by LiuJinHe 2019/9/23
  */
@EnableAutoConfiguration
@ComponentScan
@SpringBootApplication
class CrowdPackageApp

object CrowdPackageApp extends App {
  SpringApplication.run(classOf[CrowdPackageApp])
}

@Controller

package com.sm.controller

import com.sm.service.CrowdService
import com.sm.service.impl.CrowdServiceImpl
import org.springframework.beans.factory.annotation.Autowired
import org.springframework.web.bind.annotation.{CrossOrigin, RequestMapping, RequestMethod, RequestParam, ResponseBody, RestController}

/**
  * 请求映射地址
  *
  * create by LiuJinHe 2019/9/23
  */
@RestController
@CrossOrigin
class CrowdController @Autowired()(crowdService:CrowdService){

  /**
    * 人群包导出请求
    */
  @RequestMapping(value = Array("/crowd"), method = Array(RequestMethod.GET))
  @ResponseBody
  def exportCrowd(@RequestParam("channel_id") channelId: Int, @RequestParam("cp_game_ids") cpGameIds: String,
                  @RequestParam("action_type") actionType: Int, @RequestParam("os") os: Int,
                  @RequestParam("begin_time") beginTime: String, @RequestParam("end_time") endTime: String): String = {
    crowdService.reqCrowd(channelId, cpGameIds, actionType, os, beginTime, endTime)
  }
}

@Service

首先是 Trait，方便以后业务扩展。

package com.sm.service

/**
  * 业务抽象类 
  *
  * create by LiuJinHe 2019/9/24
  */
trait CrowdService {
  def reqCrowd(channelId: Int, cpGameIds: String, actionType: Int, os: Int, beginTime: String, endTime: String):String
}

实现类

有其他业务代码，这里只拆分了Impala的。

package com.sm.service.impl


import scala.io.Source

/**
  * 调用查询命令的实现类
  *
  * create by LiuJinHe 2019/9/24
  */
@Service("crowdService")
class CrowdServiceImpl extends CrowdService{
  private val logger = LoggerFactory.getLogger(classOf[CrowdServiceImpl])
  var statSql:String = _
  var sqlStr: String = _
  var result = new Result[String]
  var dataType: String = _

  override def reqCrowd(channelId: Int, cpGameIds: String, actionType: Int, os: Int, beginTime: String, endTime: String): String = {
    var queryInfo = ""

    // 校验参数
    result = ParamsUtils.checkParams(channelId, cpGameIds, actionType, os, beginTime, endTime)

    if (result.getStatusCode != Result.FAILED) {

      // 判断查询类型
      if (actionType.toInt == 1) {

        // 激活模块
        dataType = "IMEI"
        statSql = "refresh cp_data.tb_sdk_active_log"
        activeAnalysis(cpGameIds, os, beginTime, endTime)

      } else if (actionType.toInt == 2) {

        // 付费模块
        dataType = "IDFA"
        statSql = "refresh cp_data.tb_sdk_user_payment"
        paymentAnalysis(cpGameIds, os, beginTime, endTime)

      } else logger.info("错误参数，参数必须为active or payment！")

      // 执行SQL 导出结果
      logger.debug("执行SQL：" + sqlStr)
      queryInfo = ImpalaConnect.queryWithImpala(statSql, sqlStr)

      result.setMsg(queryInfo)

      logger.info("查询并导出结果成功")
    }

    // 执行结果
    result.getMsg
  }

  /**
    * 付费,解析参数为 SQL 语句
    */
  def paymentAnalysis(cpGameIds: String, os: Int, beginTime: String, endTime: String): String = {
    logger.info("构建付费 SQL 命令")
    sqlStr =
      s"""
         |select distinct tab.device_id from cp_data.tb_sdk_user_payment tab,cp_data.tb_base_game_conf conf where tab.game_id = conf.game_id
         | and tab.`date` between '$beginTime' and '$endTime'
         | and conf.cp_game_id in ($cpGameIds)
      """.stripMargin
    if (os.equals(1)) {
      sqlStr += s"and right(cast(tab.package_id as string),2) != '99';"
    } else if (os.equals(2)) {
      sqlStr += s"and right(cast(tab.package_id as string),2) = '99';"
    } else result = new Result[String](Result.FAILED, "构建sql时发现os类型错误")

    sqlStr
  }

  /**
    * 激活,解析参数为 SQL 语句
    */
  def activeAnalysis(cpGameIds: String, os: Int, beginTime: String, endTime: String): String = {
    logger.info("构建激活 SQL 命令")
    sqlStr =
      s"""
         |select distinct tab.device_id from cp_data.tb_sdk_active_log tab,cp_data.tb_base_game_conf conf where tab.game_id = conf.game_id
         | and tab.`date` between '$beginTime' and '$endTime'
         | and tab.os = '$os'
         | and conf.cp_game_id in ($cpGameIds)
      """.stripMargin

    sqlStr
  }
}

 

Impala查询模块

package com.sm.execute

import java.io.{File, FileWriter}
import java.sql.{Connection, DriverManager, PreparedStatement, ResultSet, SQLException}

import com.sm.constants.Constants
import org.slf4j.{Logger, LoggerFactory}

/**
  * Scala 连接 Impala
  *
  * create by LiuJinHe 2019/9/24
  */
object ImpalaConnect {
  private val logger: Logger = LoggerFactory.getLogger(ImpalaConnect.getClass)

  def queryWithImpala(statSql: String, sqlStr: String): String = {
    val date = System.currentTimeMillis()
    var conn: Connection = null
    var prepareStat: PreparedStatement = null
    var result: ResultSet = null

    // 生成文件
    val file = new File(Constants.IMPALA_OUT_PATH)
    val fileWriter = new FileWriter(file)

    // SQL
    println("Impala开始执行sql查询")

    try {
      // 连接 IMPALA 查询
      Class.forName(Constants.IMPALA_JDBC)
      conn = DriverManager.getConnection(Constants.IMPALA_URL, Constants.IMPALA_USER, Constants.IMPALA_PASSWORD)
      prepareStat = conn.prepareStatement(sqlStr)
      val query= prepareStat.executeQuery
      println("刷新表成功")
      prepareStat = conn.prepareStatement(sqlStr)
      result = prepareStat.executeQuery

      // 写入文件
      var count = 0
      while (result.next) {
        val str = result.getString(1)
        fileWriter.write( str + "\n")

        fileWriter.flush()
        count += 1
      }
      println("导出结果成功,总条数: " + count)
    } catch {
      case e: Exception =>
        logger.info("jdbc查询impala失败", e)
    } finally try {
      disConnect(conn, result, prepareStat)
      fileWriter.close()
    }

    "查询成功!"
  }

  def disConnect(connection: Connection, rs: ResultSet, ps: PreparedStatement): Unit = {
    try {
      if (rs != null) rs.close()
      if (ps != null) ps.close()
      if (connection != null) {
        connection.close()
      }
    } catch {
      case e: SQLException =>
        logger.info("jdbc连接关闭失败", e)
    }
  }
}

@configuration

package com.sm.config

import org.springframework.context.annotation.Configuration
import org.springframework.web.servlet.config.annotation.{CorsRegistry, WebMvcConfigurer}

/**
  * create by LiuJinHe 2019/9/24
  */
@Configuration
class CrowdConfig extends WebMvcConfigurer {

  override def addCorsMappings(registry: CorsRegistry): Unit = {
    registry.addMapping("/**")
      .allowedOrigins("*")
      .allowCredentials(true)
      .allowedMethods("GET", "POST", "PUT", "DELETE", "OPTIONS")
      .maxAge(3600)
  }
}

Result请求结果类

package com.sm.common

import java.io.Serializable

import scala.beans.BeanProperty

/**
  * 请求结果
  *
  * create by LiuJinHe 2019/9/23
  */
@SerialVersionUID(1L)
object Result {
  val SUCCESS = 1
  val FAILED = 0
  val DEFAULT_SUCCESS_MESSAGE = "success"
  val DEFAULT_FAILED_MESSAGE = "failed"

  def SuccessResult[T] = new Result[T](SUCCESS, DEFAULT_SUCCESS_MESSAGE)

  def SuccessResult[T](msg: String) = new Result[T](SUCCESS, msg)

  def SuccessResult[T](data: T) = new Result[T](SUCCESS, DEFAULT_SUCCESS_MESSAGE, data)

  def SuccessResult[T](msg: String, data: T) = new Result[T](SUCCESS, msg, data)

  def FailedResult[T] = new Result[T](FAILED, DEFAULT_FAILED_MESSAGE)

  def FailedResult[T](msg: String) = new Result[T](FAILED, msg)

  def FailedResult[T](data: T) = new Result[T](FAILED, DEFAULT_FAILED_MESSAGE, data)

  def FailedResult[T](msg: String, data: T) = new Result[T](FAILED, msg, data)
}

@SerialVersionUID(1L)
class Result[T] extends Serializable {

  @BeanProperty var statusCode: Int = 0
  @BeanProperty var msg: String = _
  @BeanProperty var data: T = _

  this.statusCode = Result.SUCCESS
  this.msg = Result.DEFAULT_SUCCESS_MESSAGE

  def this(statusCode: Int, msg: String) {
    this()
    this.statusCode = statusCode
    this.msg = msg
  }

  def this(statusCode: Int, msg: String, data: T) {
    this()
    this.statusCode = statusCode
    this.msg = msg
    this.data = data
  }
}

Constants常量类

package com.sm.constants

import java.io.InputStream
import java.util.Properties


/**
  * create by LiuJinHe 2019/9/24
  */
object Constants {

  var IMPALA_JDBC: String = _
  var IMPALA_URL: String = _
  var IMPALA_USER: String = _
  var IMPALA_PASSWORD: String = _
  var IMPALA_OUT_PATH:String = _

  var in: InputStream = _
  try {
    in = Constants.getClass.getClassLoader.getResourceAsStream("conf.properties")
    val prop: Properties = new Properties()
    prop.load(in)
    IMPALA_JDBC = prop.getProperty("impala.jdbc")
    IMPALA_URL = prop.getProperty("impala.url")
    IMPALA_USER = prop.getProperty("impala.user")
    IMPALA_PASSWORD = prop.getProperty("impala.password")
    IMPALA_OUT_PATH = prop.getProperty("impala.out.path")
  }
  catch {
    case e: Exception =>
      e.printStackTrace()
  } finally
    in.close()
}

con.properties

常用配置其实可以放到application.properties/yml 中，启动SpringBoot时加载，不过这里还有一些其他配置，就直接放到一个配置文件里一起加载。

impala.jdbc = com.cloudera.impala.jdbc41.Driver
impala.url = jdbc:impala://xxx:21050
impala.user = hive
impala.password = hive
impala.out.path = E:\\testdata\\impala_out_result.txt

application.properties

这里就作为初始设置，按需求可以放入其他需要启动加载的配置，比如可以把Hadoop、Zookeeper、Redis、Kafka等配置添加启动加载。

server.port = 8081
server.max-http-header-size = 10000000
server.use-forward-headers = true
server.tomcat.remote-ip-header = X-Real-IP
server.tomcat.protocol-header = X-Forwarded-Proto
spring.servlet.multipart.maxFileSize = -1
spring.servlet.multipart.maxRequestSize = -1

yml类型配置

server:
  port: 8081
  max-http-header-size: 1000000
  tomcat:
    protocol-header: X-Forwarded-Proto
    remote-ip-header: X-Real-IP
spring:
  application:
    name: crowd-package-server
  servlet:
    multipart:
      enabled: true
      max-request-size: -1
      max-file-size: -1

pom.xml

    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <slf4j.version>1.7.28</slf4j.version>
        <log4j.version>2.12.1</log4j.version>
        <scala.version>2.11.12</scala.version>
    </properties>

    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.1.7.RELEASE</version>
        <relativePath/>
    </parent>

    <dependencies>
        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-nop</artifactId>
            <version>${slf4j.version}</version>
        </dependency>

        <!-- scala -->
        <dependency>
            <groupId>org.scala-lang</groupId>
            <artifactId>scala-library</artifactId>
            <version>${scala.version}</version>
        </dependency>

        <!-- impala jdbc-->
        <dependency>
            <groupId>com.clodera.impala</groupId>
            <artifactId>impalajdbc41</artifactId>
            <version>2.6.15</version>
        </dependency>

        <!-- Gson-->
        <dependency>
            <groupId>com.google.code.gson</groupId>
            <artifactId>gson</artifactId>
            <version>2.8.5</version>
        </dependency>

        <!-- sringboot -->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter</artifactId>
            <exclusions>
                <exclusion>
                    <groupId>org.springframework.boot</groupId>
                    <artifactId>spring-boot-starter-logging</artifactId>
                </exclusion>
            </exclusions>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-aop</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-configuration-processor</artifactId>
            <optional>true</optional>
        </dependency>

        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>5.1.47</version>
        </dependency>

        <dependency>
            <groupId>com.google.protobuf</groupId>
            <artifactId>protobuf-java</artifactId>
            <version>2.6.1</version>
        </dependency>

        <dependency>
            <groupId>commons-codec</groupId>
            <artifactId>commons-codec</artifactId>
            <version>1.13</version>
        </dependency>
    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>net.alchim31.maven</groupId>
                <artifactId>scala-maven-plugin</artifactId>
                <version>3.2.2</version>
                <executions>
                    <execution>
                        <id>scala-compile-first</id>
                        <phase>process-resources</phase>
                        <goals>
                            <goal>add-source</goal>
                            <goal>compile</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
                <configuration>
                    <fork>true</fork>
                </configuration>
            </plugin>
        </plugins>
    </build>
</project>

 

打包上传

java -jar crowd-package-server-1.0.jar

 

PostMan测试： 

来源：CSDN

作者：南宫紫攸

链接：https://blog.csdn.net/weixin_45353054/article/details/103958430