Spark DataSet - Session (SparkSession|SQLContext)

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A Spark session is a connection object. It's the application entry point and is used to create a dataset (ie therefore also a dataframe).

Previously, it was known as the SQLContext but it has been deprecated.

Documentation / Reference

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PySpark - SparkSession

in PySpark The variable in the shell is spark If SPARK_HOME is set, when getting a SparkSession, the python script calls the script SPARK_HOME\bin\spark-submit who call SPARK_HOME\bin\spark-class2...
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Spark - Connection (Context)

A Spark Connection is : a context object (known also as connection) the first step when creating a script This object is called: an SQL Context for a RDD (in Spark 1.x.) SparkSession for a...
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Spark DataSet - DSL Operations

Domain-specific-language (DSL) functions are defined in the class: DataFrame, Column and functions Example: group by, order, plus,.... With a spark session and a dataset of row...

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