Ingesting Streaming Data

Using the Spark SQL engine, Apache Spark Structured Streaming provides a stream processing engine that can handle large-scale and reliable data streams. You can write your streaming computation using the same syntax as a batch computation on static data. The Spark SQL engine will run your computation in an incremental and continuous manner and keep the final result updated as new streaming data arrives. The computation is performed on the same efficient Spark SQL engine. The system also ensures that the computation is fault-tolerant from end to end by using checkpointing and write-ahead logs.

Apache Spark Structured Streaming is favored for real-time data processing due to its high-level, unified API that seamlessly integrates both streaming and batch data processing. This unified approach simplifies development, making it accessible to those familiar with Spark SQL. It offers a wide range of benefits, including built-in fault tolerance mechanisms, support...