Lifecycle of Spark program

The following steps explain the lifecycle of a Spark application with standalone resource manager, and Figure 3.8 shows the scheduling process of a spark program:

1. The user submits a spark application using the spark-submit command.
2. Spark-submit launches the driver program on the same node in (client mode) or on the cluster (cluster mode) and invokes the main method specified by the user.
3. The driver program contacts the cluster manager to ask for resources to launch executor JVMs based on the configuration parameters supplied.
4. The cluster manager launches executor JVMs on worker nodes.
5. The driver process scans through the user application. Based on the RDD actions and transformations in the program, Spark creates an operator graph.
6. When an action (such as collect) is called, the graph is submitted to a DAG scheduler. The DAG scheduler divides the operator graph into stages.
7. A stage comprises tasks based on partitions of the input data. The DAG scheduler pipelines operators...