title: PySpark error "An illegal reflective access operation has occurred" happens when I try to start a SparkSession
body: <p>Using Jupyter Notebooks on mac. Python3 Kernel.</p>
  <pre><code>WARNING: An illegal reflective access operation has occurred
  WARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/Users/jaredchapman/opt/anaconda3/lib/python3.9/site-packages/pyspark/jars/spark-unsafe_2.12-3.2.1.jar) to constructor java.nio.DirectByteBuffer(long,int)
  WARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform
  WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
  WARNING: All illegal access operations will be denied in a future release
  Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
  Setting default log level to &quot;WARN&quot;.
  To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
  22/03/29 13:33:00 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
  </code></pre>