PySpark – What is SparkSession?
Since Spark 2.0 SparkSession has become an entry point to PySpark to work with RDD, and DataFrame. Prior to 2.0, SparkContext used to be an entry point. Here, I will…
Since Spark 2.0 SparkSession has become an entry point to PySpark to work with RDD, and DataFrame. Prior to 2.0, SparkContext used to be an entry point. Here, I will…
Since Spark 2.0, SparkSession has become an entry point to Spark to work with RDD, DataFrame, and Dataset. Prior to 2.0, SparkContext used to be an entry point. Here, I…
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…
You can manually create a PySpark DataFrame using toDF() and createDataFrame() methods, both these function takes different signatures in order to create DataFrame from existing RDD, list, and DataFrame. You…
In Spark, createDataFrame() and toDF() methods are used to create a DataFrame manually, using these methods you can create a Spark DataFrame from already existing RDD, DataFrame, Dataset, List, Seq…
In Spark or PySpark SparkSession object is created programmatically using SparkSession.builder() and if you are using Spark shell SparkSession object "spark" is created by default for you as an implicit…