Networkz Systems Interview Questions and Answers

Apache Spark supports several cluster managers including YARN, Mesos, and Standalone.

• YARN is the default cluster manager for Spark and is used for Hadoop-based clusters.

• Mesos is a general-purpose cluster manager that can be used with Spark, Hadoop, and other frameworks.

• Standalone is a simple cluster manager that comes bundled with Spark and is suitable for testing and development purposes.

Apache Spark is a fast and general-purpose cluster computing system.

• Distributed computing engine

• In-memory processing

• Supports multiple languages

• Machine learning and graph processing libraries

• Real-time stream processing

• Fault-tolerant

• Scalable

Spark is faster than MapReduce due to in-memory processing and DAG execution model.

• Spark uses in-memory processing while MapReduce uses disk-based processing.

• Spark has DAG (Directed Acyclic Graph) execution model while MapReduce has Map and Reduce phases.

• Spark supports real-time processing while MapReduce is batch-oriented.

• Spark has a higher level of abstraction and supports multiple languages while MapReduce is limited to Java.

• Spark has built-in libraries for SQL, streaming,...read more

RDD is a distributed collection of data while coalesce is a method to reduce the number of partitions in an RDD.

• RDD is immutable while coalesce creates a new RDD with fewer partitions

• RDD is used for parallel processing while coalesce is used for reducing the number of partitions

• RDD can be created from Hadoop InputFormats while coalesce is a method of RDD

• Example: rdd.coalesce(1) merges all partitions into a single partition

React is a JavaScript library for building user interfaces, known for its efficiency and flexibility.

• React allows for the creation of reusable UI components, making development faster and more efficient.

• It uses a virtual DOM to improve performance by only updating the necessary parts of the UI.

• React is popular for single-page applications and dynamic web interfaces.

• It is widely used in modern web development due to its declarative and component-based approach.

• React Native all...read more

RDD stands for Resilient Distributed Datasets in Pyspark, which are fault-tolerant collections of elements that can be processed in parallel.

• RDDs are the fundamental data structure in Pyspark.

• They are immutable and can be cached in memory for faster processing.

• RDDs can be created from Hadoop Distributed File System (HDFS), local file system, or by transforming existing RDDs.

• Examples of transformations include map, filter, and reduceByKey.

• Actions like count, collect, and saveA...read more