Spark Streaming with PySpark | Structured Streaming Tutorial 2025 - 13 Spark Streaming Handling Errors and Exceptions | Handle Exception for data re-processing in Spark

Video covers - How to handle error in Spark Streaming? How to handle Exception in Spark Streaming Application? How to store error data for re-processing in Spark Streaming? How to write data to JDBC Postgres table? Chapters: 00:00 - Introduction 00:41 - Error vs Exception in Spark Streaming 04:17 - Handling Error/Malformed data in Spark Streaming 10:02 - Handling Exception in Spark Streaming URLs: Github Code - https://github.com/subhamkharwal/spark-streaming-with-pyspark/blob/master/06_handling_errors_and_exceptions.ipynb Device data samples - https://github.com/subhamkharwal/spark-streaming-with-pyspark/blob/master/datasets/devices/device_data_samples.txt To setup Kafka with Spark in Local environment - https://youtu.be/BeZRe0f23hI JSON data Flattening and reading from files - https://youtu.be/wp_2CXyXV0w Keywords: Apache Spark, PySpark, Spark Streaming, Real-time Data Processing, Data Streaming, Big Data Analytics, PySpark Tutorial, Apache Spark Tutorial, Streaming Analytics, Spark Structured Streaming, PySpark Streaming, Big Data Processing. New video in every 3 days ❤️ Make sure to like and Subscribe.