The issue you’re facing is due to the version mismatch between the Python interpreter used by PySpark (which is part of the pyspark.zip file) and the Python interpreter used by Jupyter Notebook.

To resolve this, you need to ensure that both interpreters are the same or at least compatible. Here’s a step-by-step solution:

1. Install py4j: You can install py4j using pip:

pip install py4j

2. **Create a new environment for PySpark**: Create a new Python environment for your Jupyter Notebook that will use the same version of Python as PySpark. This way, you'll ensure that both interpreters are compatible.

   You can do this by creating a new notebook in Jupyter and running:
   ```bash
!python -m venv mysparkenv

Activate the environment before running your code:

mysparkenv\Scripts\activate  # On Windows
source mysparkenv/bin/activate  # On Linux/Mac

3. Set PYSPARK_PYTHON and PYSPARK_DRIVER_PYTHON environment variables: In this environment, set the PYSPARK_PYTHON and PYSPARK_DRIVER_PYTHON environment variables to point to the Python executable in your PySpark distribution.

import os os.environ[‘PYSPARK_PYTHON’] = ‘/path/to/python/executable’ # Replace with the path to python executable from pyspark.zip file os.environ[‘PYSPARK_DRIVER_PYTHON’] = ‘/path/to/python/executable’ # Replace with the path to python executable from pyspark.zip file

4. **Run your code**: Now you can run `df.show()` and `df.collect()` without any issues.

Note: Make sure to replace `/path/to/python/executable` with the actual path to the Python executable from your PySpark distribution.

Also, ensure that you're using the correct version of Python that matches the one used by PySpark. If you're still facing issues, try setting `PYSPARK_PYTHON` and `PYSPARK_DRIVER_PYTHON` environment variables before running your code:
```python
!pip install py4j  # to get the required packages
import os
os.environ['PYSPARK_PYTHON'] = '/path/to/python/executable'
os.environ['PYSPARK_DRIVER_PYTHON'] = '/path/to/python/executable'

Last modified on 2023-07-20