配置时注意:spark-core_2.12 后缀为scala语言的版本,如果没有装scala的话,可以直接使用idea下载 在project Structure中找到global libraries 点击加号,添加scala sdk选择对应的版本下载即可 下载完成后,我们已经趋近于成功了,在项目的src的main目录下创建一个scala目录,我们的scala文件集中放置在这个位置,注意,我们在新建...
<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</...
echo "Failed to find Spark jars directory ($SPARK_JARS_DIR)." 1>&2 echo "You need to build Spark with the target \"package\" before running this program." 1>&2 exit 1 else LAUNCH_CLASSPATH="$SPARK_JARS_DIR/*" fi # Add the launcher build dir to the classpath if requested. #6...
来，我们用排除法，第1、2两个先排除，因为是spark的基础软件包，一定是Scala版本，即原生版本(因为spa...
-- Spark-core --><dependency><groupId>org.apache.spark</groupId><artifactId>spark-core_2.12</artifactId><version>3.1.2</version></dependency><!-- Spark与Iceberg整合的依赖包--><dependency><groupId>org.apache.iceberg</groupId><artifactId>iceberg-spark3</artifactId><version>0.12.1</...
2、对spark安装包解压,得到对应的文件夹,即spark-3.0.2-bin-hadoop2.7,如下: 2.1修改权限和创建软链接(视频教程里有,但我没做,因为这个模式不是主流) 3、执行bin目录下的spark-shell,会得到以下内容,说明local模式启动成功,local[*] 表示使用当前机器上所有可用的资源。可以打开红框的地址试试,使用 :quit退出环...
--Sparkdependencies--><dependency><groupId>org.apache.spark</groupId><artifactId>spark-core_${scala.version}</artifactId><version>${spark.version}</version></dependency><dependency><groupId>org.apache.spark</groupId><artifactId>spark-streaming_${scala.version}</artifactId><version>${spark....
pom.xml Spark2.4.3 Maven库请参见https://mvnrepository.com/artifact/org.apache.spark/spark-core_2.12/2.4.3 代码语言:javascript 复制 <modelVersion>4.0.0</modelVersion><groupId>Test.pack</groupId><artifactId>SparkTest</artifactId><version>1.0-SNAPSHOT</version><packaging>jar</packaging><inception...
<artifactId>spark-core_${scala.version}</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming_${scala.version}</artifactId> <version>${spark.version}</version> ...
直接修改hadoop的版本为2.6.0-cdh5.13.1 运行如下命令: ./dev/make-distribution.sh--name2.6.0-cdh5.13.1--pip--tgz-Phive-1.2-Phive-thriftserver-Pyarn-Dhadoop.version=2.6.0-cdh5.13.1 报错: [INFO]---scala-maven-plugin:4.3.0:compile(scala-compile-first)@ spark-core_2.12---[INFO]Using ...