Hi, In the Spark on YARN, the AM (driver) will ask the RM for resources. Once the resources are allocated by the RM, the AM will start the executors through the NM. This is my understanding.
But, according to the Spark documentation (1), the `spark.yarn.applicationMaster.waitTries` properties specifies `Set the number of times the ApplicationMaster waits for the the Spark master and then also the number of tries it waits for the SparkContext to be initialized.`. What is the significance of master in the Spark on YARN configuration? (1) - http://spark.apache.org/docs/latest/running-on-yarn.html Thanks, Praveen
