Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/spark/sql/catalyst/analysis/OverrideFunctionRegistry
Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/spark/sql/catalyst/analysis/OverrideFunctionRegistry
我已经尝试在 spark 和 scala 中使用以下代码,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))
}
}
}
我已经添加了 spark-core_2.10,spark-catalyst_2.10,spark-sql_2.10,spark-hive_2.10 依赖项 我还需要添加任何依赖项吗? ?
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>
你好像忘了撞 spark-hive:
<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,比如spark.version.
<properties>
<spark.version>1.5.2</spark.version>
</properties>
并以这种方式修改所有 spark 依赖项:
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-hive_2.10</artifactId>
<version>${spark.version}</version>
</dependency>
提升 spark 版本不会那么痛苦。
仅仅在你的 <properties>
中添加 属性 spark.version
是不够的,你必须在 dependencies 中使用 ${spark.version}
来调用它。
我已经尝试在 spark 和 scala 中使用以下代码,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))
}
}
}
我已经添加了 spark-core_2.10,spark-catalyst_2.10,spark-sql_2.10,spark-hive_2.10 依赖项 我还需要添加任何依赖项吗? ?
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>
你好像忘了撞 spark-hive:
<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,比如spark.version.
<properties>
<spark.version>1.5.2</spark.version>
</properties>
并以这种方式修改所有 spark 依赖项:
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-hive_2.10</artifactId>
<version>${spark.version}</version>
</dependency>
提升 spark 版本不会那么痛苦。
仅仅在你的 <properties>
中添加 属性 spark.version
是不够的,你必须在 dependencies 中使用 ${spark.version}
来调用它。