How do we initialize a real-time streaming DataFrame from incoming Parquet file events with explicit schema?
spark.readStream.format('parquet').schema(schema).load(path) creates an unbound streaming DataFrame.
Real-time event processing, IoT telemetry ingestion, and continuous file landing pipelines.
streaming_df = spark.readStream \
.format("parquet") \
.schema(event_schema) \
.load("streaming_landing/events")Practice typing production-grade PySpark code for Initializing Ingestion with readStream.