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How to save files from spark using python

Objective

To save files from spark using python

Functions used :

df.write.save(“Filepath&name”,format=’fileformat’) – Save the RDD dataframe from spark in the given file path with given file name in given format.(format=parquet(default),json,csv)

Process

  Import necessary libraries

  Initialize the Spark session

  Create the required data frame

  Use the predefined function to save the RDD data frame from spark

Sample Code

from pyspark.sql import SparkSession
#Set up SparkContext and SparkSession
spark=SparkSession \
.builder \
.appName(“Python spark example”)\
.config(“spark.some.config.option”,”some-value”)\
.getOrCreate()

#Load the file
df1=spark.read.format(‘com.databricks.spark.csv’).options(header=’True’,inferschema=’True’).load(“/home/…../Emp.csv”)
df2 = df1.withColumn(“Total_salary”, (df1.SALARY+df1.TA))
#To save the result
df2.select(“NAME”,”Total_salary”).write.save(“/…./Employeedetails.json”,format=”csv”)

Screenshots
save files from spark using python