Concatenate two PySpark dataframes

Question

I\'m trying to concatenate two PySpark dataframes with some columns that are only on each of them:

from pyspark.sql.functions import randn, rand

df_1 = sqlC         


        

Answer 1

Maybe you can try creating the unexisting columns and calling union (unionAll for Spark 1.6 or lower):

cols = ['id', 'uniform', 'normal', 'normal_2']    

df_1_new = df_1.withColumn("normal_2", lit(None)).select(cols)
df_2_new = df_2.withColumn("normal", lit(None)).select(cols)

result = df_1_new.union(df_2_new)