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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Anil Singh is an author, tech blogger, and software programmer. Book writing, tech blogging is something do extra and Anil love doing it. For more detail, kindly refer to this link..
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