
Install PySpark
The instructions below are tailored for individuals who wish to use PySpark in an Anaconda environment. If you're utilizing cloud platforms such as Databricks, installation steps for PySpark are not necessary, as these environments come pre-configured with everything you need.
Install Java
Before installing PySpark, ensure that Java is installed on your system:
- Download Java: Visit the official Java website (https://www.oracle.com/java/technologies/downloads/) to download the Java package appropriate for your operating system.
- Install Java: Follow the installation instructions provided on the website or within the downloaded package.
- Verify Java Installation:
- Open your terminal
- Run the command:
java -version
This should display the version of Java you've installed, confirming a successful installation.
Install PySpark
The easiest way to install PySpark in an Anaconda environment is to use the PySpark package, which will automatically handle Spark dependencies. To install PySpark in your Anaconda environment, activate your environment and run:
conda install pyspark
Alternatively, you can use pip within your Conda environment:
pip install pyspark
Check PySpark Version
To confirm the PySpark version installed, you can run the following command in a Python script:
import pysparkprint(pyspark.__version__)
Output:
3.5.0
If this code runs without any error, PySpark has been successfully installed in your environment.