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SS00018.olap——|Hadoop&OLAP数据库管理系统.v18|——|Kylin.v09|Kylin构建Cube|Segment管理|

谭越
2023-12-01
一、使用JDBC连接操作Kylin
### --- 使用JDBC连接操作Kylin

~~~     要将数据以可视化方式展示出来,需要使用Kylin的JDBC方式连接执行SQL,获取Kylin的执行结果
~~~     使用Kylin的JDBC与JDBC操作MySQL一致
~~~     jdbc url:jdbc:kylin://hadoo02:7070/yanqi_sales_olap       (yanqi_sales_olap:表示项目名称)
~~~     用户名密码:ADMIN/KYLIN
### --- 需求

~~~     通过JDBC方式,查询按照日期、区域、产品维度统计订单总额/总数量结果
二、编程实现
### --- 创建一个maven项目:SparkBigData
### --- 在pom.xml下导入驱动依赖

        <dependency>
            <groupId>org.apache.kylin</groupId>
            <artifactId>kylin-jdbc</artifactId>
            <version>3.1.1</version>
        </dependency>
### --- 编程实现流程

~~~     创建Connection连接对象
~~~     构建SQL语句
~~~     创建Statement对象,并执行executeQuery
~~~     打印结果
三、编程代码实现
### --- 编程代码实现:写java或者scala程序都可以,跟语言的关系不是很大;使用scala程序:KylinJDBC

package cn.yanqi.kylin

import java.sql.{DriverManager, ResultSet}

object KylinJDBC {
  def main(args: Array[String]): Unit = {
    //1、 创建Connection连接对象
    val url = "jdbc:kylin://hadoop02:7070/yanqi_sales_olap"
    val connection = DriverManager.getConnection(url, "ADMIN", "KYLIN")

    //2、 构建SQL和语句
    val sql =
      """
        |select
        | t1.dt,
        | t2.regionid,
        | t2.regionname,
        | t3.productid,
        | t3.productname,
        | sum(t1.price) as total_money,
        | sum(t1.amount) as total_amount
        |from
        | dw_sales1 t1
        |inner join dim_region t2
        |on t1.regionid = t2.regionid
        |inner join dim_product t3
        |on t1.productid = t3.productid
        |group by
        | t1.dt,
        | t2.regionid,
        | t2.regionname,
        | t3.productid,
        | t3.productname
        |order by
        | t1.dt,
        | t2.regionname,
        | t3.productname
        |""".stripMargin

    // 3、创建Statement对象,并执行executeQuery;获取ResultSet
    val statement = connection.createStatement()
    val resultSet: ResultSet = statement.executeQuery(sql)

    // 4、打印输出结果
    while (resultSet.next()) {
      // 获取时间
      val dt: String = resultSet.getString("dt")
      // 获取区域名称
      val regionname: String = resultSet.getString("regionname")
      // 获取产品名称
      val productname: String = resultSet.getString("productname")
      // 总金额
      val total_money: String = resultSet.getString("total_money")
      // 总数量
      val total_amount: String = resultSet.getString("total_amount")

      //println("dt   regionname   productname   total_money   total_amount   ")
      println(f"$dt   $regionname   $productname%-10s   $total_money%10s    $total_amount%10s")
    }

    connection.close
  }
}
### --- 编译打印

~~~     # 输出参数
D:\JAVA\jdk1.8.0_231\bin\java.exe "-javaagent:D:\IntelliJIDEA\IntelliJ IDEA 2019.3.3\lib\idea_rt.jar=62473:D:\IntelliJIDEA\IntelliJ IDEA 2019.3.3\bin" -Dfile.encoding=UTF-8 -classpath 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cn.yanqi.kylin.KylinJDBC

2021-10-01   上海   ihpone Xs       24122.0           238
2021-10-01   上海   meta20          25352.0           250
2021-10-01   上海   p30             22998.0           250
2021-10-01   上海   小米 9            23579.0           226
2021-10-01   北京   ihpone Xs       27361.0           266
2021-10-01   北京   meta20          24800.0           252
2021-10-01   北京   p30             26338.0           255
2021-10-01   北京   小米 9            23713.0           257
2021-10-02   上海   ihpone Xs       30537.0           313
2021-10-02   上海   meta20          30336.0           291
2021-10-02   上海   p30             34101.0           374
2021-10-02   上海   小米 9            27073.0           300
2021-10-02   北京   ihpone Xs       26981.0           271
2021-10-02   北京   meta20          29288.0           289
2021-10-02   北京   p30             25858.0           288
2021-10-02   北京   小米 9            30464.0           309
2021-10-03   上海   ihpone Xs       22114.0           145
2021-10-03   上海   meta20          28074.0           191
2021-10-03   上海   p30             20041.0           154
2021-10-03   上海   小米 9            17978.0           137
2021-10-03   北京   ihpone Xs       27392.0           178
2021-10-03   北京   meta20          21861.0           143
2021-10-03   北京   p30             26787.0           182
2021-10-03   北京   小米 9            22514.0           141

Process finished with exit code 0
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