How do we access low-level cluster context and check the running Spark engine version?
The underlying SparkContext provides access to low-level cluster configurations, broadcast variables, and version metadata.
Inspecting cluster connectivity, verifying runtime compatibility, and setting cluster-wide broadcast variables.
sc = spark.sparkContext
print(sc.version)Practice typing production-grade PySpark code for SparkContext Awareness.