Practical session, introduction to Spark: Difference between revisions
No edit summary |
No edit summary |
||
| (12 intermediate revisions by the same user not shown) | |||
| Line 1: | Line 1: | ||
In every practical session, I expect you to install all needed software beforehand to focus on the tasks. | |||
==Apache Spark== | ==Apache Spark== | ||
===Purpose=== | ===Purpose=== | ||
| Line 16: | Line 18: | ||
* [[Running Spark | Getting started with Apache Spark]] | * [[Running Spark | Getting started with Apache Spark]] | ||
=== Steps === | === Installation Steps === | ||
Spark: | |||
Windows: [https://medium.com/@ligz/installing-standalone-spark-on-windows-made-easy-with-powershell-7f7309799bc7] or [https://www.knowledgehut.com/blog/big-data/how-to-install-apache-spark-on-windows] | |||
https:// | Linux: [https://medium.com/devilsadvocatediwakar/installing-apache-spark-on-ubuntu-8796bfdd0861] | ||
Jupyter for Apche Spark in LINUX [https://medium.com/@singhpraveen2010/install-apache-spark-and-configure-with-jupyter-notebook-in-10-minutes-ae120ebca597] | |||
Mac: [https://medium.com/@roshinijohri/spark-with-jupyter-notebook-on-macos-2-0-0-and-higher-c61b971b5007] | |||
2 – Install IntelliJ IDE | 2 – Install IntelliJ IDE | ||
| Line 32: | Line 38: | ||
https://docs.scala-lang.org/getting-started-intellij-track/getting-started-with-scala-in-intellij.html | https://docs.scala-lang.org/getting-started-intellij-track/getting-started-with-scala-in-intellij.html | ||
4 - Linking spark with | 4 - Linking spark with IntelliJ | ||
Scala: [https://www.c-sharpcorner.com/article/working-with-spark-and-scala-in-intellij-idea-part-i/] | |||
Python: [https://medium.com/@gauravmshah/pyspark-on-intellij-with-packages-auto-complete-5e3208504707] | |||
| Line 40: | Line 48: | ||
5 – Do some exercise tasks | 5 – Do some exercise tasks | ||
Extra links: | |||
Apache Spark with Python: | |||
*Install and Setup Apache Spark 2.2.0 Python in Windows - PySpark: [https://www.youtube.com/watch?v=WQErwxRTiW0] | |||
*Setup Jupyter Notebook for Apache Spark: [https://bigdata-madesimple.com/guide-to-install-spark-and-use-pyspark-from-jupyter-in-windows/] | |||
Latest revision as of 09:22, 18 August 2020
In every practical session, I expect you to install all needed software beforehand to focus on the tasks.
Apache Spark
Purpose
- Getting up and running with
- Getting experience with non-trivial installation
- Using IntelliJ IDEA.
- Writing and running your own first Spark program
For a general introduction, see the slides to Session 2 on Apache Spark. Here is a useful tutorial: https://www.tutorialspoint.com/spark_sql/spark_introduction.htm . Configuring Spark dependency in InjelliJ IDEA http://spark.apache.org/docs/latest/rdd-programming-guide.html
Preparations
As for Hadoop, you will run Spark standalone on your computers (and independently of your previous Hadoop installation to keep things simple). Running Spark on a cluster of many computers is harder to set up (and you will need a cluster of computers), but after that, the coding and running of code is the same. 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.
Tasks
Installation Steps
Spark:
Linux: [3] Jupyter for Apche Spark in LINUX [4]
Mac: [5]
2 – Install IntelliJ IDE
https://www.jetbrains.com/idea/
3 – Install Scala plugin in IntelliJ
4 - Linking spark with IntelliJ
http://spark.apache.org/docs/latest/rdd-programming-guide.html
5 – Do some exercise tasks
Extra links:
Apache Spark with Python: