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Posted to user@spark.apache.org by kmat <ku...@hotmail.com> on 2016/07/01 01:01:13 UTC

RE: Spark 2.0 Continuous Processing

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+s1001560n27250h41@n3.nabble.com
To: kurianmathewp@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.

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