Spark Persistence is an optimization technique, which saves the results of RDD evaluation. Spark provides a convenient method for working with datasets by storing them in memory throughout various operations. When you persist a dataset, Spark stores the data on disk or in memory, or a combination of the two, so that it can be […]
Posts Tagged ‘Persistence’
Turn “off” persistent connection between local chained services
I have seen at most of the places that while configuring the objects on Data Power, we just configure the standard properties and leave others as is with default values without knowing their significance. But sometimes this ignorance might lead us to face some critical issues that might be very hard to troubleshoot. I suggest trying […]