Apache Spark: Difference between revisions

From info319
No edit summary
No edit summary
 
Line 1: Line 1:
==Apache Spark==
=Apache Spark=
===Purpose===
==Purpose==
* Getting up and running with Apache Spark
* Getting up and running with Apache Spark
* Getting experience with non-trivial Linux installation
* Getting experience with non-trivial Linux installation
Line 8: Line 8:
For a general introduction, see the slides to Session 1 on Apache Spark. There is a useful tutorial at [https://www.tutorialspoint.com/spark_sql/spark_introduction.htm TutorialsPoint].
For a general introduction, see the slides to Session 1 on Apache Spark. There is a useful tutorial at [https://www.tutorialspoint.com/spark_sql/spark_introduction.htm TutorialsPoint].


===Preparations===
==Preparations==
In the first exercises, you will run Spark standalone on your own computers and in your favourite IDE (Integrated Development Environment). VS Code (Visual Studio Code) is recommended and will be used in these instructions.
In the first exercise, you will run Spark standalone on your own computers, both in a console/terminal windows and in your favourite IDE (Integrated Development Environment). VS Code (Visual Studio Code) is recommended and will be used in these instructions.  
 
(If you are on a Windows computer, installing WSL2 (Windows Subsystem for Linux) and using it as your IDE "Terminal" or "Console" is also a good idea, but not a priority right now.)
 
In your IDE, create a Python environment using ''venv'', ''pipenv'', or ''conda'', whatever you prefer. The instructions  will use plain ''venv'', which is simple and transparent.


Installing Spark Standalone to a Cluster http://spark.apache.org/docs/latest/spark-standalone.html
Installing Spark Standalone to a Cluster http://spark.apache.org/docs/latest/spark-standalone.html
Line 97: Line 93:
In a console (or command prompt, or terminal) window, check that it works:
In a console (or command prompt, or terminal) window, check that it works:
     scala -version
     scala -version
===Environment variables===
You need to add the Scala binaries folder to your PATH. The nicest way is to go via a SCALA_HOME environment variable. To see if SCALA_HOME is set:
* '''Linux:''' ''echo $SCALA_HOME''
* '''Windows:''' ''echo %SCALA_HOME%''
If it is set correctly, the SCALA_HOME folder will have a ''bin/'' subfolder containing files called ''scala'', ''scalac'', and so on. If it is not set, you need to find out where Scala has been installed to:
* '''Linux:''' Check ''/usr/share/scala''.
* '''Windows:''' Check ''C:\Programs-or-Program Files\scala-something...''.
To set SCALA_HOME:
* '''Linux:''' Add this line to your ''~/.bashrc''-file:
    export SCALA_HOME=/path/to/your/scala/installation/folder
* '''Windows:''' Here it is hidden away. On Windows 10, in the ''Start'' menu, open ''Settings'' (the cog wheel), go to ''System -> About -> System info -> Advanced system settings -> Environment Variables''. Here you can add and edit environment variables.
You need to do the same thing for SPARK_HOME. It is good practice to always set environment variables like JAVA_HOME, SCALA_HOME, HADOOP_HOME, SPARK_HOME, etc. even when you do not need them immediately: other well-behaved packages you install later may be able to use them if they are set, thus saving you time and avoiding errors. Each such variable should point to an installation folder with a ''bin'' folder inside it, but not to the inner ''bin''-folder itself.
On '''Windows''', remember that some Linux programs do not like spaces in paths. See the [[Hadoop preparations]] for a way around this problem if you run into it.
===Modifying your PATH===
You need to change PATH to include SCALA_HOME/bin and SPARK_HOME/bin.
* '''Linux:''' Add this line to the end of ''~/.bashrc'':
    export PATH=$SCALA_HOME/bin:$SPARK_HOME/bin:$PATH
* '''Windows:''' You must go into the ''Environment variables'' tool again and edit ''PATH''. You can use variable expressions such as ''%SCALA_HOME%\bin'' and ''%SPARK_HOME%\bin'' to define new variables.
To put the new environment variable in effect:
* '''Linux:'''
    source ~/.bashrc
* '''Windows:''' Close the Command Prompt window and open a new one.
Finally, on '''Windows''' you now need to run these commands:
    winutils chmod 777 /tmp
    winutils chmod 777 /tmp/hive
(You make have to run the ''Command Prompt'' windows ''as Administration'' to do this.)
===Running the Spark shell===
Go to your home folder (you do not need to run Spark from its installation folder) and check that it works:
    cd ~
    spark-shell
You will get a lot of warnings, because we have not tailored Spark properly, but we will ignore them for now. In the end you should see a ''Welcome to Spark'' banner with some version information and a ''spark-shell'' command prompt:
    scala>
Type '':quit'' or use ''Ctrl-D'' to terminate the spark-shell (the latter is the standard way to kill a Linux shell).
You are now ready to [[Running Spark | get started with Apache Spark]].
===Next Steps===
2 – Install IntelliJ IDE
                https://www.jetbrains.com/idea/
3 – Install Scala plugin in IntelliJ
https://docs.scala-lang.org/getting-started-intellij-track/getting-started-with-scala-in-intellij.html
4 - Linking spark with intellij
http://spark.apache.org/docs/latest/rdd-programming-guide.html
===Tasks===
* [[Running Spark | Getting started with Apache Spark]]

Latest revision as of 15:35, 22 August 2022

Apache Spark

Purpose

  • Getting up and running with Apache Spark
  • Getting experience with non-trivial Linux installation
  • Using VS Code (or another IDE of your choice)
  • Writing and running your own first Spark program

For a general introduction, see the slides to Session 1 on Apache Spark. There is a useful tutorial at TutorialsPoint.

Preparations

In the first exercise, you will run Spark standalone on your own computers, both in a console/terminal windows and in your favourite IDE (Integrated Development Environment). VS Code (Visual Studio Code) is recommended and will be used in these instructions.

Installing Spark Standalone to a Cluster http://spark.apache.org/docs/latest/spark-standalone.html

Follow these preparations to install Spark on your Linux or Windows-machine. If you are on MacOS, it runs BSD Unix under the hood, so most Linux-commands should work in a Terminal window on your Mac too.

Spark Preparations

Downloading

Create a Spark folder on your computer, preferrably next your Hadoop folder, if you have one.

  • Linux: Anywhere should do. I have created a root folder called /opt and given myself full permission:
   sudo mkdir /opt
   sudo chmod u+rwx /opt
  • Windows has limits on file path lengths and some Linux programs do not like spaces in paths. I created a root folder called C:\Programs and gave my self full rights to it (which must be done as Administrator).

Download an Apache Spark-archive from: 

   https://spark.apache.org/downloads.html

for example this one: 

   https://d3kbcqa49mib13.cloudfront.net/spark-2.2.0-bin-hadoop2.7.tgz

We will not need any source code archive.

Unpacking

Unpack the archive into your Spark installation folder, which should be a sub-folder of the one you just created:

  • Windows: I unpacked the archive into C:\Programs\spark-2.2.0-bin-hadoop2.7.
  • Linux: Copy the spark-2.2.0-bin-hadoop2.7-file into your new folder (e.g., /opt), and unpack it into, e.g., /opt/spark-2.2.0-bin-hadoop2.7):
   cd /opt
   tar zxf spark-2.2.0-bin-hadoop2.7.tar.gz

On Windows you may need two additional executable files: hadoop.dll and winutils.exe (for an explanation see https://wiki.apache.org/hadoop/WindowsProblems). Maybe they are already on your PATH because you installed them with Hadoop earlier.

Otherwise, you need to download them. Downloading executables is always risky, so continue at your own peril. I downloaded them from here: https://github.com/steveloughran/winutils/tree/master/hadoop-2.8.1 and put then in the .../bin subfolder of my Spark installation folder (i.e., under C:\Programs\spark-2.2.0-bin-hadoop2.7\bin).

(To be checked: I am not sure Spark still needs hadoop.dll . Also, there are both 32- and 64-bit versions of winutils.exe, according to https://hernandezpaul.wordpress.com/2016/01/24/apache-spark-installation-on-windows-10/ .)

Two guides for installing spark on Mac

https://medium.freecodecamp.org/installing-scala-and-apache-spark-on-mac-os-837ae57d283f

https://medium.com/luckspark/installing-spark-2-3-0-on-macos-high-sierra-276a127b8b85 [1]<https://medium.com/luckspark/installing-spark-2-3-0-on-macos-high-sierra-276a127b8b85>

Installing Apache Spark 2.3.0 on macOS High Sierra – LuckSpark – Medium<https://medium.com/luckspark/installing-spark-2-3-0-on-macos-high-sierra-276a127b8b85> medium.com This tutorial guides you through essential installation steps of Apache Spark 2.3.0 on macOS High Sierra. March 2018.


Java

You need Java and a Java SDK (Software Development Kit). I have used a recent version of Java 8. To check if you have a Java SDK and which version it is, do:

  • Linux:
   which javac
   javac -version
  • Windows: In a Command Prompt window, do
   javac -version

To install a recent Java 8:

  • Linux:
   sudo apt install openjdk-8-jdk

In a console (or command prompt, or terminal) window, check that it works: 

   javac -version

Scala

Scala is another programming language that runs on Java Virtual Machines (and thus can build on many of Java's APIs). It adds functional programming on top of a Java-like syntax (version 8 of Java has since added functional programming too, but spark-shell, which we will use later, remains Scala-based.)

To check if you have Scala and which version it is, do:

  • Linux:
   which scala 
   scala -version
  • Windows: In a Command Prompt window, do
   scala -version

To install a recent Scala:

  • Linux:
   sudo apt install scala

   https://downloads.lightbend.com/scala/2.12.3/scala-2.12.3.tgz

Again, it is best to install Scala into a folder with no space in its name, like C:\Programs\scala-2.12.3.

In a console (or command prompt, or terminal) window, check that it works: 

   scala -version
Retrieved from "http://info319.wiki.uib.no/index.php?title=Apache_Spark&oldid=887"