Answer / Randhir Pratap

Spark SQL can be used to work with structured data using SQL. First, create DataFrames or DataSets from your data sources, then use Spark SQL functions and operators to perform operations, and finally register temporary views to query the data like traditional SQL. You can also use external libraries such as JDBC and JPA for integrating Spark SQL with relational databases.

Define the run-time architecture of Spark?

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What is accumulators and broadcast variables in spark?

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Does Apache Spark provide checkpoints?

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How many ways we can create rdd?

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What happens to rdd when one of the nodes on which it is distributed goes down?

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Is spark sql a database?

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What do you understand by Executor Memory in a Spark application?

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Hadoop uses replication to achieve fault tolerance. How is this achieved in Apache Spark?

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What are the disadvantages of using Spark?

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Explain pipe() operation in Apache Spark?

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On which all platform can Apache Spark run?

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Is spark part of hadoop?

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