Explain spark architecture

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Accepted Answer

Spark architecture is a distributed computing system that provides high-level APIs for processing large datasets.

Spark architecture consists of a cluster manager, a distributed storage system, and a set of worker nodes.
The cluster manager, such as Apache Mesos or Hadoop YARN, allocates resources and schedules tasks.
The distributed storage system, like Hadoop Distributed File System (HDFS), stores the data across the cluster.
Worker nodes execute the tasks and store intermediate data in memory or on disk.
Spark applications are written in high-level APIs like Spark SQL, Spark Streaming, or MLlib.
Spark architecture supports fault tolerance, data parallelism, and in-memory computing for faster processing.
Example: In a Spark cluster, the cluster manager assigns tasks to worker nodes, which process the data in parallel.
Example: Spark architecture allows for iterative algorithms, like machine learning, to be executed efficiently by caching data in memory.

Accepted Answer

Explain complete spark architecture

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