spark structured streaming

Spark Structured Streaming is a high-level API built on top of Apache Spark that provides support for continuous stream processing. It allows developers to write streaming applications using the same DataFrame and SQL APIs that are used for batch processing.

Structured Streaming is based on the concept of a continuous processing engine that can process data in real-time as it arrives, rather than traditional batch processing that runs on a fixed schedule. It provides several key features, including:

1. High-level APIs for easy development and deployment of streaming applications
2. Support for both batch and streaming data processing
3. Built-in support for fault-tolerance and recovery
4. Integration with Apache Kafka, HDFS, and other data sources
5. Support for windowed aggregations and joins

Spark Structured Streaming also provides a powerful engine for managing and optimizing streaming workloads. It automatically manages the parallelism and resource allocation for processing data streams, optimizing performance and scalability.