Meaning of Spark SQL:
Spark SQL is programming module for operating with structured knowledge mistreatment knowledge frame and knowledge set abstractions. Spark SQL is that the smart optimisation technique. In Spark SQL we will be querying the information from Spark within that connect through JDBC and ODBC connectors to Spark SQL. Spark SQL act as a SQL question engine.
Features of Spark SQL
Integrated – Spark SQL is that the mixes of SQL queries thus we will run queries advanced analytic programs mistreatment tight integration property of Spark SQL.
Unified knowledge Access – In Spark SQL we will load and be querying the information from numerous resources.
Standard property – Spark SQL embody server mode with commonplace JDBC and ODBC connectors.
Scalability – In Spark SQL we will use one engine for interactive and long queries.
Spark SQL Data Frames:
Data Frame is that the collections of distributed collections of information that organized into named columns. knowledge Frames is akin to relative tables or R/Python and it made from totally different resources array like hive table. we will produce knowledge frame mistreatment following ways in which,
Structured knowledge files
Tables in Hive
Using existing RDD
Main Layers of Spark SQL:
Language API – Spark is compatible with Spark SQL and it conjointly supported by API(Python, Hive, Scala, Java).
Schema RDD – Spark designed with an information structure known as RDD. Spark SQL chiefly works on tables and records thus we will use schema RDD for a short-lived table and conjointly use Schema RDD as knowledge Frames.
Data Sources – knowledge Sources of Spark SQL is computer file and Avro file. accessible knowledge sources square measure Parquet file, JSON document, HIVE tables, and prophetess information.
Uses of Apache Spark SQL:
It executes SQL queries.
We can scan knowledge from existing Hive installation mistreatment SparkSQL.
When we run SQL at intervals another artificial language we'll get the result as Dataset/DataFrame.
Spark SQL could be a module of Apache Spark that analyzes the structured knowledge. It provides quantifiability, it ensures high compatibility of the system. it's commonplace property through JDBC or ODBC. Thus, it provides the foremost natural thanks to specific the Structured knowledge.