Question

我尝试过使用spark和scala中的代码，附加代码和pom.xml

package com.Spark.ConnectToHadoop

import org.apache.spark.SparkConf
import org.apache.spark.SparkConf
import org.apache.spark._
import org.apache.spark.sql._
import org.apache.spark.sql.hive.HiveContext
import org.apache.spark.sql.SQLContext
import org.apache.spark.rdd.RDD
//import groovy.sql.Sql.CreateStatementCommand

//import org.apache.spark.SparkConf


object CountWords  {

  def main(args:Array[String]){

    val objConf = new SparkConf().setAppName("Spark Connection").setMaster("spark://IP:7077")
    var sc = new SparkContext(objConf)
val objHiveContext = new HiveContext(sc)
objHiveContext.sql("USE test")


var test= objHiveContext.sql("show tables")
    var i  = 0

    var testing = test.collect()
      for(i<-0 until testing.length){

      println(testing(i))
    }
  }
}

我添加了spark-core_2.10，spark-catalyst_2.10，spark-sql_2.10，spark-hive_2.10依赖项我是否需要添加更多依赖项???

编辑：

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>com.Sudhir.Maven1</groupId>
    <artifactId>SparkDemo</artifactId>
    <version>IntervalMeterData1</version>
    <packaging>jar</packaging>

    <name>SparkDemo</name>
    <url>http://maven.apache.org</url>

    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <spark.version>1.5.2</spark.version>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.10</artifactId>
            <version>1.5.2</version>
        </dependency> 
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.10</artifactId>
            <version>1.5.2</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-catalyst_2.10</artifactId>
            <version>1.5.2</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-hive_2.10</artifactId>
            <version>1.2.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hive</groupId>
            <artifactId>hive-jdbc</artifactId>
            <version>1.2.1</version>
        </dependency>
        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <version>3.8.1</version>
            <scope>test</scope>
        </dependency>     
    </dependencies>
</project>

Answer 1

看起来你忘了撞上火花蜂巢：

    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-hive_2.10</artifactId>
        <version>1.5.2</version>
    </dependency>

考虑引入maven变量，例如spark.version。

   <properties>
        <spark.version>1.5.2</spark.version>
    </properties>

以这种方式修改所有的spark依赖项：

   <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-hive_2.10</artifactId>
        <version>${spark.version}</version>
    </dependency>

碰撞火花的版本不会那么痛苦。

仅在spark.version中添加属性<properties>是不够的，您必须在依赖项中使用${spark.version}调用它。

线程＆＃34; main＆＃34;中的例外情况java.lang.NoClassDefFoundError：org / apache / spark / sql / catalyst / analysis / OverrideFunctionRegistry

1 个答案: