In a continuous processing pipeline with dataframes is there any way to checkpoint the processing state (by the user) at periodic intervals. The thought process behind this is to rewind to any particular checkpoint and then fast forward processing thereon. Date: Wed, 29 Jun 2016 23:17:47 -0700 From: ml-node+s1001560n27250...@n3.nabble.com To: kurianmath...@hotmail.com Subject: Re: Spark 2.0 Continuous Processing
it also supports interactive and batch queries. With Spark 2.0, DataFrames and Datasets are being combined and which ensures that an event or file is processed once, and only once.Writing resources are guaranteed that grammar and spelling all will remain accurate and correct. If you reply to this email, your message will be added to the discussion below: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-2-0-Continuous-Processing-tp27226p27250.html To unsubscribe from Spark 2.0 Continuous Processing, click here. NAML -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-2-0-Continuous-Processing-tp27226p27253.html Sent from the Apache Spark User List mailing list archive at Nabble.com.