-
Environment Variables:
-
Using findspark:
-
Java Version:
- Make sure you have Java 1.8 installed.
- Set the JAVA_HOME environment variable to the correct Java SDK path (e.g., C:\Program Files\Java\javasdk_1.8.241).
-
PySpark Version:
- If you’re using Conda, consider installing PySpark 2.7 (as version 3.0 might cause compatibility issues).
Remember to adjust the paths and versions according to your specific setup. These steps should help resolve the issue.
If you encounter any further problems, feel free to ask for more assistance! 🚀🔍
1: Stack Overflow: Py4JError - PythonUtils.getEncryptionEnabled 2: SparkByExample: Py4JError Solution 3: Databricks Knowledge Base: PyPMML Py4J Jar Issue 4: Stack Overflow: Py4J Error with Spark DataFrame