First, let’s create twoDataFramewith the same schema. First DataFrame # Importsimportpysparkfrompyspark.sqlimportSparkSession spark=SparkSession.builder.appName('SparkByExamples.com').getOrCreate()simpleData=[("James","Sales","NY",90000,34,10000),\("Michael","Sales","NY",86000,56,20000),...
The command is significantly different in the case of PySpark, which operates in a distributed environment. The code is given below, assuming df1 and df2 are the names of the two data frames consisting of the two tables we created above. : df1.union(df2) Powered By Final Thoughts It is...