Spark SQL - Features, Advantage and Disadvantage!

What Is Spark SQL?

The Spark SQL is used for real-time, in-memory and parallelized SQL-on-Hadoop engine.

The Spark SQL is not a general purpose SQL layer and it’s used to allow us to do several advanced analytics with data.

The Spark SQL supports only a subset of SQL functionality and users have to write code in Java, Python and so on to execute a query.

Great Features of Spark SQL -

ü Spark SQL provides security through encryption using SSL for HTTP protocols.

ü The Spark SQL supports lots of features to analysis the large scale of data.

ü The Spark SQL supports lots of data types for machine learning.

ü In the Spark SQL, you can easily to write data pipelines.

ü In the Spark SQL, easy to add optimization rules, data types and data source by using the Scala programming language

When To Use Spark SQL?

Spark SQL is the best SQL-on-Hadoop tool and best used of Spark SQL is fetch data for diverse machine learning tasks.

Disadvantage of Spark SQL -

The Spark SQL is lacks advanced security features.

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By Anil Singh | Rating of this article (*****)

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