The three components of Spark architecture are:
Question
The three components of Spark architecture are:
Solution
The three components of Spark architecture are:
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Spark Core: This is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities. Spark Core is also home to the API that defines resilient distributed datasets (RDDs), which are Spark’s main programming abstraction.
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Spark SQL: This component enables users to run SQL/HQL queries and read data from an existing Hive installation using Spark. From Spark 1.3 onwards, you can also use DataFrames API in Spark SQL.
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Spark Streaming: This component enables processing of live data streams. Data from different sources like HDFS, Flume, Kafka, and Twitter can be processed and then pushed out to file systems, databases, and live dashboards. In fact, you can apply Spark’s machine learning and graph processing algorithms on data streams.
There are also two other components, Spark MLlib and Spark GraphX, which are used for machine learning and graph processing respectively.
Similar Questions
Which of the following is a key feature of Apache Spark?
1.Question 1What are the three main components of Apache Spark architecture?1 pointScala; Java; PythonData; compute interface; resource managementStorage; HDFS; PythonMesos; YARN; Kubernetes2.Question 2What are DataFrames in Apache Spark?1 pointDataFrames is a distributed file system in Spark used for storing large data sets efficiently.DataFrames are a distributed collection of data organized into named columns.DataFrames are Spark’s built-in machine learning models for predictive analytics.DataFrames is a data format for storing graph data structures in Spark.3.Question 3What is Apache Spark?1 pointHardware manufacturerIn-memory framework for distributed data processingCloud storage serviceClosed-source data analysis tool4.Question 4What is functional programming?1 pointA programming approach that emphasizes the how to of the solution as opposed to the what of the solutionA programming approach that focuses solely on graphical functions and visual designs A programming method that prioritizes procedural programming over the use of mathematical functionsA style of programming that follows the mathematical function format5.Question 5Which of the following statements defines Resilient Distributed Datasets (RDDs)? Select all that apply.1 pointRDD is a collection of fault-tolerant elements.RDD is capable of receiving parallel operations.RDDs are immutable.RDD is a distributed database management system.6.Question 6What is the primary purpose of parallel programming?1 pointTo employ specific control and coordination mechanismTo run noncontemporary instructionsTo use multiple compute resources to solve a computational problemTo break a problem into discrete parts that can be solved sequentially7.Question 7Which of the following is a benefit of DataFrames?1 pointTo scale from kilobytes of data on multiple laptops to petabytes on a large clusterTo scale small-scale data on a laptopSupports specific data formats and storage systemsTo scale from kilobytes of data on a single laptop to petabytes on a large cluster
What is the name of the Spark unified interface?
What are the three components of Hive architecture?
Which of following is NOT an advantage of using structured programming with SparkSQL dataframes compared to programming using the Spark RDD API?Question 4Answera.Structured programming allows the use of a more optimised data layout which benefits CPU cache utilisation.b.Structure programming allows the system to use more optimised Java byte code when executing built-in functions.c.Structured programming allows the system to automatically perform query optimisation.d.Structured programming allows data to be cached in RAM.
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