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Previous   |   Next   |  Audio Book for Spark Interview Questions is available here    | Top 150 Latest Spark Interview Questions | Quickly go through Spark Training Python & Scala


Question: What is the Driver Program in Spark?


Answer: This is one of the main program in Spark application, in case of REPL (spark shell will be driver program). Driver program create the instance of SparkSession or SparkContext. It is the responsibility of the Driver program to communicate with the Cluster manager to distribute the task to cluster worker nodes.

Question: Which all are daemon process are part of the standalone cluster manager?


Answer: As we have mentioned, standalone cluster manager is not good for the production use cases. You should consider this only for testing and POC purpose. So, when you start Spark with the standalone cluster manager then it creates the two daemon processes.
- Master Node
- Worker Node

Question: How do you define the Worker Node in Spark cluster?


Answer: You can say that, they are slave nodes, and actual your processing on data happens on worker node. Worker node always communicate with the Master Node and inform about the availability of the resources. Generally on each node, in your cluster one worker node is started, which is responsible for running your application on that particular node and also monitor that application.

Question: What is the executors in Spark?


Answer: Each Spark application, you submit has its own executors process, executors exists only until your application runs. Driver program uses these executors to run the tasks on the worker nodes and also help in keeping data in memory and when required can be spilled on disk.

Question: What is the Task in Spark?


Answer: Task is the unit of work, which is sent to the executor running on the worker node. It is a command which will be sent to the executor by a driver program by serializing your Function object. It is the responsibility of the executor process to de-serialize this Function object and execute on the data which is partitioned (one of the RDD partition) and exists on that node.



Previous   |   Next   |  Audio Book for Spark Interview Questions is available here    | Top 150 Latest Spark Interview Questions | Quickly go through Spark Training Python & Scala




       
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