java.lang.ClassNotFoundException: org.apache.hadoop.hive.ql.metadata.HiveException

博客讲述了在使用Spark读取Hive数据时遇到的ClassNotFoundException问题,原因是Spark依赖的Scala版本与实际使用的不一致。通过检查并修改项目的Scala和Spark依赖版本,将Scala从2.12.4改为2.11.8,Spark从2.4.2改为2.4.0,解决了问题。最后,成功运行了Spark提交的作业。

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spark依赖版本差异导致奇怪报错

代码

  • 测试代码
import org.apache.spark.sql.SparkSession

object SparkHive {
  def main(args: Array[String]): Unit = {

    val spark = SparkSession
      .builder()
      .master("local[1]")
      .appName("Spark Hive Example")
      //.config("spark.sql.warehouse.dir", warehouseLocation)
      .enableHiveSupport()
      .getOrCreate()

    import spark.implicits._
    import spark.sql

    val date = "20201121";
    //hive表读取
    sql(s"select * from ms_access_partition  where ms_access_partition.partdate = '$date'").show(3)

  }

}

错误

spark 读取hive时,出现如下错误
java.lang.ClassNotFoundException: org.apache.hadoop.hive.ql.metadata.HiveException

检查

  • 依赖检查
<properties>
    <scala.version>2.11.8</scala.version>
    <spotless.version>1.31.3</spotless.version>
    <spark.version>2.4.0</spark.version>
  </properties>
 
<dependencies>
  <!-- spark-core -->
 <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-core_2.11</artifactId>
      <version>${spark.version}</version>
    </dependency>

   <!-- spark-sql -->
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-sql_2.11</artifactId>
      <version>${spark.version}</version>
    </dependency>

   <!-- spark-read-hive -->
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-hive_2.11</artifactId>
      <version>${spark.version}</version>
    </dependency>


    <!-- hive-jdbc -->
    <dependency>
      <groupId>org.apache.hive</groupId>
      <artifactId>hive-jdbc</artifactId>
      <version>${hive.version}</version>
    </dependency>
    <!--  Hadoop client-->
    <dependency>
      <groupId>org.apache.hadoop</groupId>
      <artifactId>hadoop-client</artifactId>
      <version>2.6.5</version>
    </dependency>
  </dependencies>


  • 连接设置
1.检查 resource下的core-site.xml,hdfs-site.xml,hive-site.xml配置是否正确
2.检查代码问题

本次原因

  • 代码依赖错误,spark依赖的scala时2.12.4,spark时spark-*-2.12,导致问题
 <properties>
    <scala.version>2.12.4</scala.version>
    <spotless.version>1.31.3</spotless.version>
    <spark.version>2.4.2</spark.version>
  </properties>

<dependencies>
    <dependency>
      <groupId>org.scala-lang</groupId>
      <artifactId>scala-library</artifactId>
      <version>${scala.version}</version>
    </dependency>
    <dependency>
      <groupId>junit</groupId>
      <artifactId>junit</artifactId>
      <version>4.4</version>
      <scope>test</scope>
    </dependency>
    <dependency>
      <groupId>org.specs</groupId>
      <artifactId>specs</artifactId>
      <version>1.2.5</version>
      <scope>test</scope>
    </dependency>

  <dependencies>
	<!-- spark-core -->
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-core_2.12</artifactId>
      <version>${spark.version}</version>
    </dependency>

	<!-- spark-sql -->
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-sql_2.12</artifactId>
      <version>${spark.version}</version>
    </dependency>

  	<!-- spark-hive -->
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-hive_2.12</artifactId>
      <version>${spark.version}</version>
    </dependency>
    
    <!-- hive-jdbc -->
    <dependency>
      <groupId>org.apache.hive</groupId>
      <artifactId>hive-jdbc</artifactId>
      <version>2.1.1</version>
    </dependency>
    
      <!-- hadoop-client -->
    <dependency>
      <groupId>org.apache.hadoop</groupId>
      <artifactId>hadoop-client</artifactId>
      <version>2.6.5</version>
    </dependency>
  </dependencies>

解决

  • 修改scala,spark依赖配置
<properties>
    <scala.version>2.11.8</scala.version>
    <spotless.version>1.31.3</spotless.version>
    <spark.version>2.4.0</spark.version>
  </properties>
 
<dependencies>
  <!-- spark-core -->
 <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-core_2.11</artifactId>
      <version>${spark.version}</version>
    </dependency>

   <!-- spark-sql -->
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-sql_2.11</artifactId>
      <version>${spark.version}</version>
    </dependency>

   <!-- spark-read-hive -->
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-hive_2.11</artifactId>
      <version>${spark.version}</version>
    </dependency>


    <!-- hive-jdbc -->
    <dependency>
      <groupId>org.apache.hive</groupId>
      <artifactId>hive-jdbc</artifactId>
      <version>${hive.version}</version>
    </dependency>
    <!--  Hadoop client-->
    <dependency>
      <groupId>org.apache.hadoop</groupId>
      <artifactId>hadoop-client</artifactId>
      <version>2.6.5</version>
    </dependency>
  </dependencies>

  • 注意,spark-2.4.2有个问题,是唯一一个spark 2.4.x中用 scala 2.12.x编译的,避免使用该版本

修改后运行

spark-submit \
--class com.wacai.cn.SparkHive \
 SparkSql-1.0-jar-with-dependencies.jar
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