I have data that is continuously pushed to multiple S3 buckets. I want to set up a structured streaming application that uses the S3 buckets as the data source and do stream-stream joins.
My question is if the application is down for some reason, will restarting the application would continue processing data from the S3 where it left off? So for example, if I have 5 JSON files with 100 records in each file. And spark failed while processing the tenth record in the 3rd file. When the query runs again will it begin processing from the tenth record in the 3rd file? -- Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/ --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
