Spark Error - Unsupported class file major version
Solution 1:
Edit Spark 3.0 supports Java 11, so you'll need to upgrade
Spark runs on Java 8/11, Scala 2.12, Python 2.7+/3.4+ and R 3.1+. Java 8 prior to version 8u92 support is deprecated as of Spark 3.0.0
Original answer
Until Spark supports Java 11, or higher (which would be hopefully be mentioned at the latest documentation when it is), you have to add in a flag to set your Java version to Java 8.
As of Spark 2.4.x
Spark runs on Java 8, Python 2.7+/3.4+ and R 3.1+. For the Scala API, Spark 2.4.4 uses Scala 2.12. You will need to use a compatible Scala version (2.12.x)
On Mac/Unix, see asdf-java for installing different Javas
On a Mac, I am able to do this in my .bashrc,
export JAVA_HOME=$(/usr/libexec/java_home -v 1.8)
On Windows, checkout Chocolately, but seriously just use WSL2 or Docker to run Spark.
You can also set this in spark-env.sh rather than set the variable for your whole profile.
And, of course, this all means you'll need to install Java 8 in addition to your existing Java 11
Solution 2:
I ran into this issue when running Jupyter Notebook and Spark using Java 11. I installed and configured for Java 8 using the following steps.
Install Java 8:
$ sudo apt install openjdk-8-jdk
Since I had already installed Java 11, I then set my default Java to version 8 using:
$ sudo update-alternatives --config java
Select Java 8 and then confirm your changes:
$ java -version
Output should be similar to:
openjdk version "1.8.0_191"
OpenJDK Runtime Environment (build 1.8.0_191-8u191-b12-2ubuntu0.18.04.1-b12)
OpenJDK 64-Bit Server VM (build 25.191-b12, mixed mode)
I'm now able to run Spark successfully in Jupyter Notebook. The steps above were based on the following guide: https://www.digitalocean.com/community/tutorials/how-to-install-java-with-apt-on-ubuntu-18-04
Solution 3:
I found that adding the spark location through findspark and java8 with os at the beginning of the script the easiest solution:
import findspark
import os
spark_location='/opt/spark-2.4.3/' # Set your own
java8_location= '/usr/lib/jvm/java-8-openjdk-amd64' # Set your own
os.environ['JAVA_HOME'] = java8_location
findspark.init(spark_home=spark_location)
Solution 4:
The problem hear is that PySpark requirs Java 8 for some functions. Spark 2.2.1 was having problems with Java 9 and beyond. The recommended solution was to install Java 8.
you can install java-8 specifically, and set it as your default java and try again.
to install java 8,
sudo apt install openjdk-8-jdk
to change the default java version, follow this. you can use command
update-java-alternatives --list
for listing all java versions available.
set a default one by running the command:
sudo update-alternatives --config java
to select java version you want. provide the accurate number in the provided list.
then cheak your java version java -version and it should be updated. Set the JAVA_HOME variable also.
to set JAVA_HOME, You must find the specific Java version and folder. Fallow this SO discussion for get a full idea of setting the java home variable. since we are going to use java 8, our folder path is /usr/lib/jvm/java-8-openjdk-amd64/ . just go to /usr/lib/jvm folder and creak what are the avilable folders. use ls -l to see folders and their softlinks, since these folders can be a shortcut for some java versions. then go to your home directory cd ~ and edit the bashrc file
cd ~
gedit .bashrc
then Add bellow lines to the file, save and exit.
## SETTING JAVA HOME
export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64
export PATH=$PATH:$JAVA_HOME/bin
after that, to make effect of what you did, type source ~/.bashrc and run in terminal
Solution 5:
On windows (Windows 10) you can solve the issue by installing jdk-8u201-windows-x64.exe and resetting the system environment variable to the correct version of the JAVA JDK:
JAVA_HOME -> C:\Program Files\Java\jdk1.8.0_201.
Don't forget to restart the terminal otherwise the resetting of the environment variable does not kick in.