how to install apache spark in scala 2.11.8

#HOW TO INSTALL APACHE SPARK IN SCALA 2.11.8 HOW TO#
#HOW TO INSTALL APACHE SPARK IN SCALA 2.11.8 64 BIT#
#HOW TO INSTALL APACHE SPARK IN SCALA 2.11.8 UPDATE#
#HOW TO INSTALL APACHE SPARK IN SCALA 2.11.8 DRIVER#
#HOW TO INSTALL APACHE SPARK IN SCALA 2.11.8 CODE#

Modification to BigTop packaging is necessary for building Spark 2.0. The above command gives you the latest version of Apache Spark 2.0.0-SNAPSHOT built for Scala 2.11.8 (see the configuration of scala-2.11 profile). With Spark 2.0 there are quite a few changes (e.g.

#HOW TO INSTALL APACHE SPARK IN SCALA 2.11.8 HOW TO#

Special thanks to and I was able to pull this through checking their repositories and code. This post describes how to generate the RPM and DEB packages for Spark 2.0.0 based on ODPi 1.1. Nevertheless, I can lived with all the versions used here. The result is something that works, but can be improved. Step 1 : Install Homebrew Step 2 : Install xcode-select Step 3 : Install Java Step 4 : Install Scala Step 5 : Install Spark Step 6 : Verifying installation.

Make your jars take precedence over the jars of comparable Apache Spark versions.The challeging part was to combine dependencies from different projects along with Spark, Scala and SBT versions.

Around 50 of developers are using Microsoft Windows environment.

Set the priority of Apache Spark jars by excluding from the assembly This article is for the Java developer who wants to learn Apache Spark but dont know much of Linux, Python, Scala, R, and Hadoop.

This article introduces three challenges and solutions when using Scala to deploy Apache Spark to a Spark cluster for troubleshooting. authors table in hive prompt Building Spark SQL Application with. Then run it again and you will be ready to try another Spark deployment. I => i.data.getName = 'slf4j-api-1.7.12.jar' Apache Spark 2.0.2 tutorial with PySpark : RDD Apache Spark 2.0.0 tutorial with PySpark : Analyzing Neuroimaging Data with Thunder Apache Spark Streaming with Kafka and Cassandra Apache Spark 1.2 with PySpark (Spark Python API) Wordcount using CDH5 Apache Spark 1.2 Streaming Apache Drill with ZooKeeper install on Ubuntu 16.04 - Embedded.

#HOW TO INSTALL APACHE SPARK IN SCALA 2.11.8 UPDATE#

Update to build.sbt using the following command:

#HOW TO INSTALL APACHE SPARK IN SCALA 2.11.8 64 BIT#

The 64 bit package includes ( Eclipse Neon 4.6.1, Scala IDE 4.5.0, and Scala 2.11.8 & Scala 2.10.6). To remove or exclude certain tanks from fat tanks, hook into the sbt-assembly plugin Although the Spark Shell approach works, I decided to try using the community edition of Scala IDE for Eclipse release version 4.5. Let's use Spark's instantiated slf4j instead.

#HOW TO INSTALL APACHE SPARK IN SCALA 2.11.8 DRIVER#

Well, from the log, we can see that Spark is already using slf4j, and now our driver is trying to generate another instance. The following is Spark Core's Scala build tool (SBT) dependency: scalaVersion : '2.11.8' libraryDependencies + '' 'spark-sql' '2.4.0'. I checked the output and found that slf4j is included in the assembly. What if I want to use the jar instead of the Spark version? Essentially, this is the opposite of Challenge 2 previously described. Therefore, I tried to deploy again using this conf variable set, as shown in the following screen recording:Ĭhallenge 3 Jar which is incompatible between Spark and Scala program-use Spark Jar This feature can be used to mitigate conflicts between Spark's dependencies and user dependencies. 'Whether to give user-added jars precedence over Spark's own jars when loading classes in the the driver. I don't know that the following build.sbt file may be wrong.

#HOW TO INSTALL APACHE SPARK IN SCALA 2.11.8 CODE#

A link to the source code download and screencast video is provided at the end of the article.

In order to use the Spark version, exclude the jar in the codeĪll these problems will be solved based on the Spark Streaming code used in the previous Spark Streaming.

Overwrite the jar used by Spark in the new version.

Run a Spark Scala/Java application on an HDInsight cluster. This example uses the AgeMeanDiv() script. Select src > main > scala to open your code in the project. In this article, we will solve three specific problems and how to solve them: In the Spark Version drop-down list, select Spark 2.3.2(Scala 2.11.8).

Therefore, in this article, we will explore how to solve all three problems. In any of the above cases, your deployment to the Spark cluster will not go smoothly. Welcome to Using Scala version 2.11. spark-shell Spark session available as spark. Test the Apache Spark installation using spark shell. For example, does your Spark driver only rely on third-party jars compatible with Scala 2.11, but your Spark cluster is based on Scala 2.10? Maybe your code relies on a newer version of the 3rd party jar that Apache Spark also uses? Or maybe you want your code to use the Spark version of a specific jar instead of the jar specified by the code. Download and install Apache Spark in local mode. In this Apache Spark example tutorial, we will introduce some options when your Scala Spark code is not deployed as expected.

How to install apache spark in scala 2.11.8