Spark 实战,第 1 部分: 使用 Scala 语言开发 Spark 应用程序王龙
打开IDEA,选择Create New Project。选择Maven,勾选Create from archetype,选择org.scala-tools.archetypes:scala-archetype-simple。输入项目名称和存放位置。3. 配置项目依赖打开项目的pom.xml文件。添加Spark依赖和Scala插件配置: <?xml version="1.0" encoding="UTF-8"?> <project xmlns="http://maven.apache.org...
you'll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real...
new UnionRDD(sc: SparkContext, rdds: Seq[RDD[T]])(implicit arg0: ClassTag[T]) Value Members def ++(other: RDD[T]): RDD[T] Return the union of this RDD and another one. def aggregate[U](zeroValue: U)(seqOp: (U, T) ⇒ U, combOp: (U, U) ⇒ U)(implicit arg0: Cla...
Apache Spark and Scala Course classroom training organised by Knowledgehut in Seattle, WA. Look for more courses in Big Data and enroll online for Apache Spark and Scala course from the comfort of your home. ✔ Corporate Training Available ✔ 5
把.travis.yml 、 project/plugins.sbt 、 LICENSE 、 build.sbt 、 deploy.sbt 几个文件推送到 Git 仓库后, CI 会触发自动测试和自动发布。每次发布成功后,sbt-best-practice 会自动把 deploy.sbt 改名为 deploy.sbt.disabled ,因此,如果将来再有提交,就只会触发自动测试,而不会触发自动发布。如果你想发布下...
Scala is mainly used for backend development, big data processing (Apache Spark), and distributed computing.AlternativesPython –A widely-used language for scripting and data science but lacks Scala’s static typing.Java –Offers similar functionality but is more verbose.Rust –Focuses on safety and...
Apache Spark and Scala Certification Training will make you proficient in creating Spark Applications using Scala programming. You can also become a Spark developer. The course will help you understand the difference between Spark & Hadoop. You will learn to increase application performance and enable...
implicit defintToString(x:Int):String=x.toString val result:String=42// result is "42" Yes, Scala can be used for scripting. You can write Scala scripts and run them using the Scala interpreter. You can create and enhance scripts using the ScalaCLI tool. Scala scripts can be executed di...
import org.apache.spark.sql.SparkSession import org.apache.spark.sql.functions.udf object ComputeCube { def main(args:Array[String]):Unit= { val spark: SparkSession = SparkSession.builder() .master("local[*]") .appName("SparkProject2018") .getOrCreate() import spark.implic...