spark-streaming-kafka

来源： https://stackoverflow.com/questions/64058068/apache-spark-integration-with-kafka

来源： https://stackoverflow.com/questions/64003405/how-to-use-kafka-group-id-in-spark-3-0-to-avoid-always-start-the-offset-for-late

来源： https://stackoverflow.com/questions/63203448/how-to-specify-the-group-id-of-kafka-consumer-for-spark-structured-streaming

来源： https://stackoverflow.com/questions/63203448/how-to-specify-the-group-id-of-kafka-consumer-for-spark-structured-streaming

来源： https://stackoverflow.com/questions/63857217/spark-structured-streaming-to-read-nested-kafka-connect-jsonconverter-message

来源： https://stackoverflow.com/questions/63954252/spark-and-spark-streaming-output-difference-for-the-same-job

来源： https://stackoverflow.com/questions/63954252/spark-and-spark-streaming-output-difference-for-the-same-job

来源： https://stackoverflow.com/questions/63954252/spark-and-spark-streaming-output-difference-for-the-same-job

问题 I was going through the Spark structured streaming - Kafka integration guide here. It is told at this link that enable.auto.commit: Kafka source doesn’t commit any offset. So how do I manually commit offsets once my spark application has successfully processed each record? 回答1: Current Situation (Spark 2.4.5) This feature seems to be under discussion in the Spark community https://github.com/apache/spark/pull/24613. In that Pull Request you will also find a possible solution for this at https

问题 my kafka cluster version is 0.10.0.0, and i want to use pyspark stream to read kafka data. but in Spark Streaming + Kafka Integration Guide, http://spark.apache.org/docs/latest/streaming-kafka-0-10-integration.html there is no python code example. so can pyspark use spark-streaming-kafka-0-10 to integrate kafka? Thank you in advance for your help ! 回答1: I also use spark streaming with Kafka 0.10.0 cluster. After adding following line to your code, you are good to go. spark.jars.packages org