Spark使用scala语言连接hive数据库_scala连接hive

一、步骤

step1:使用idea创建maven管理工具创建项目

step2:在main下添加resources文件夹，并设置为Resources root

step3:拷贝Hadoop安装路径中etc目录下的core-site.xml、hdfs-site.xml文件到resources中

step4:拷贝hive安装路径中conf目录下的hive-site.xml文件到resources中

 

step5:修改hive-site.xml文件中的javax.jdo.option.ConnectionURL，改为自己虚拟机的IP地址

<property>
  <name>javax.jdo.option.ConnectionURL</name>
  <value>jdbc:mysql://192.168.90.3:3306/hive</value>（mysql地址localhost）
</property>

step6:依赖配置

  <dependencies>
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-core_2.12</artifactId>
      <version>3.0.0</version>
    </dependency>

    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-sql_2.12</artifactId>
      <version>3.0.0</version>
    </dependency>

    <dependency>
      <groupId>com.springml</groupId>
      <artifactId>spark-sftp_2.11</artifactId>
      <version>1.1.5</version>
    </dependency>

    <dependency>
      <groupId>org.scala-lang</groupId>
      <artifactId>scala-library</artifactId>
      <version>2.11.12</version>
    </dependency>

    <dependency>
      <groupId>commons-net</groupId>
      <artifactId>commons-net</artifactId>
      <version>3.6</version>
    </dependency>

    <dependency>
      <groupId>com.jcraft</groupId>
      <artifactId>jsch</artifactId>
      <version>0.1.55</version>
    </dependency>

    <dependency>
      <groupId>mysql</groupId>
      <artifactId>mysql-connector-java</artifactId>
      <version>5.1.44</version>
    </dependency>

    <!-- https://mvnrepository.com/artifact/io.delta/delta-core -->
    <dependency>
      <groupId>io.delta</groupId>
      <artifactId>delta-core_2.12</artifactId>
      <version>0.5.0</version>
    </dependency>

    <!-- https://mvnrepository.com/artifact/org.apache.hive/hive-jdbc -->
    <dependency>
      <groupId>org.apache.hive</groupId>
      <artifactId>hive-jdbc</artifactId>
      <version>2.3.0</version>
    </dependency>

    <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-hive -->
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-hive_2.12</artifactId>
      <version>3.0.0</version>
    </dependency>

  </dependencies>

step7:创建对象

import org.apache.spark.sql.SparkSession

object Test1 {

  def main(args: Array[String]): Unit = {
//    val conf = new SparkConf().setMaster("local[1]").setAppName("sparkDemo2")
//    val sc = SparkContext.getOrCreate(conf)
//    sc.setLogLevel("error")

//    建立sparkSession,并传入定义好的Conf
    val spark = SparkSession
      .builder()
      .master("local[*]")
      .appName("sparkDemo")
      .enableHiveSupport()
      .getOrCreate()

    spark.sql("show databases").show()
    spark.sql("select * from test_data.teacher").show()
    spark.sql("insert into test_data.teacher values(1,'zs')")
  }
}

step8：执行成功。

问题总结

问题一：

java.lang.NoSuchFieldError: HIVE_STATS_JDBC_TIMEOUT

问题原因：

spark-hive jar包版本冲突

出现问题时使用的jar包版本

<dependency>
  <groupId>org.apache.spark</groupId>
  <artifactId>spark-core_2.12</artifactId>
  <version>3.0.0</version>
</dependency>

<dependency>
  <groupId>org.apache.spark</groupId>
  <artifactId>spark-sql_2.12</artifactId>
  <version>3.0.0</version>
</dependency>

<dependency>
  <groupId>org.apache.spark</groupId>
  <artifactId>spark-hive_2.12</artifactId>
  <version>2.4.0</version>
</dependency>

解决方案：

修改spark-hive的版本，与spark-core、spark-sql一致，修改后此问题解决

<dependency>
  <groupId>org.apache.spark</groupId>
  <artifactId>spark-hive_2.12</artifactId>
  <version>3.0.0</version>
</dependency>

问题二：

java.lang.AssertionError: assertion failed: No plan for HiveTableRelation

出现问题时代码：

    val conf = new SparkConf().setMaster("local[1]").setAppName("sparkDemo2")
    val sc = SparkContext.getOrCreate(conf)
    sc.setLogLevel("error")

//    建立sparkSession,并传入定义好的Conf
    val spark = SparkSession
      .builder()
      .master("local[*]")
      .appName("sparkDemo")
      .enableHiveSupport()
      .getOrCreate()

解决方法：

将前三行代码去掉