Search results
Feb 11, 2012 · This recipe covers the use of Apache Maven to build and bundle Spark applications written in Java or Scala. It focuses very narrowly on a subset of commands relevant to Spark applications, including managing library dependencies, packaging, and creating an assembly JAR file.
Maven is the official build tool recommended for packaging Spark, and is the build of reference. But SBT is supported for day-to-day development since it can provide much faster iterative compilation. More advanced developers may wish to use SBT.
Jun 13, 2016 · According to the Apache Spark documentation: Maven is the official build tool recommended for packaging Spark, and is the build of reference. But SBT is supported for day-to-day development since it can provide much faster iterative compilation. More advanced developers may wish to use SBT.
Spark runs on both Windows and UNIX-like systems (e.g. Linux, Mac OS), and it should run on any platform that runs a supported version of Java. This should include JVMs on x86_64 and ARM64. It’s easy to run locally on one machine — all you need is to have java installed on your system PATH , or the JAVA_HOME environment variable pointing to ...
Feb 25, 2021 · Another way I find very practical for testing/developing is when creating the SparkSession within the script, in particular by adding the config option and passing the Maven packages dependencies through spark.jars.packages in this way: .config('spark.jars.packages', 'groupId:artifactId:version')\.
Building Spark using Maven requires Maven 3.0.4 or newer and Java 6+. Setting up Maven’s Memory Usage You’ll need to configure Maven to use more memory than usual by setting MAVEN_OPTS .
May 10, 2018 · The short answer is no. At build time you all your dependencies will be collected by Maven or Sbt. There is no need for an additional Spark installation. Also at runtime (an this might also include the execution of unit test during the build) you do not necessarily need a Spark installation.
