PySpark SparkContext Explained
pyspark.SparkContext is an entry point to the PySpark functionality that is used to communicate with the cluster and to create an RDD, accumulator, and broadcast variables. In this article, you…
pyspark.SparkContext is an entry point to the PySpark functionality that is used to communicate with the cluster and to create an RDD, accumulator, and broadcast variables. In this article, you…
SparkContext is available since Spark 1.x (JavaSparkContext for Java) and it used to be an entry point to Spark and PySpark before introducing SparkSession in 2.0. Creating SparkContext is the…
SparkSession vs SparkContext - Since earlier versions of Spark or Pyspark, SparkContext (JavaSparkContext for Java) is an entry point to Spark programming with RDD and to connect to Spark Cluster,…
In Spark, SparkSession is an entry point to the Spark application and SQLContext is used to process structured data that contains rows and columns Here, I will mainly focus on…