Hi, So i have an action on one RDD that is relatively long, let's call it ac1; what i want to do is to execute another action (ac2) on the same RDD to see the evolution of the first one (ac1); for this end i want to use an accumulator and read it's value progressively to see the changes on it (on the fly) while ac1 is always running. My problem is that the accumulator is only updated once the ac1 has been finished, this is not helpful for me :/ .
I ve seen here <http://apache-spark-user-list.1001560.n3.nabble.com/Asynchronous-Broadcast-from-driver-to-workers-is-it-possible-td15758.html> what may seem like a solution for me but it doesn t work : "While Spark already offers support for asynchronous reduce (collect data from workers, while not interrupting execution of a parallel transformation) through accumulator" Another post suggested to use SparkListner to do that. are these solutions correct ? if yes, give me a simple exemple ? are there other solutions ? thank you. Regards -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Read-Accumulator-value-while-running-tp25960.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org