Explain about the parts of Spark Architecture?
Answer / Upasana Jyoti Tripathi
The Spark architecture consists of four main components: "Spark Driver", "Executor", "Spark Storage" and "Spark UI". The "Spark Driver" is responsible for task scheduling, while Executors run tasks on worker nodes. The "Spark Storage" includes RDD (Resilient Distributed Datasets) which is Spark's fundamental data structure. Lastly, the "Spark UI" provides a web interface to monitor Spark applications.
| Is This Answer Correct ? | 0 Yes | 0 No |
Explain about the parts of Spark Architecture?
What is the connection between Job, Task, Stage ?
What are Accumulators?
Does pyspark require spark?
What is a Data Frame?
What is the contrast between RDD, DataFrame and DataSets?
Do you have to introduce Spark on all hubs of YARN bunch?
What is pyspark rdd?
What is Lazy Evaluation?
Is pyspark faster than pandas?
What is Spark Executor?
Can I use pandas in pyspark?