How to compare two columns in two different dataframes in pyspark

Question

i want to compare "pitid" in one dataframe1 with "pitid" of another dataframe2 and want to extract the rows that are missing in dataframe1.

dataframe1:

 | id|marks|name|      pitid|
+---+-----+----+-----------+
|  1|    1|  FR| 1496875194|
|  2|    1|  US| -744211593|
|  5|    2|  DE|-1433680238|
|  4|    1|  DE| -366408878|
|  3|    3|  DE|  526286357|
+---+-----+----+-----------+

dataframe2:

| id|marks|name|      pitid|
+---+-----+----+-----------+
|  1|    1|  FR| 1496875194|
|  7|    9|  HY| -816101137|
|  6|    5|  FE| 1044793796|
|  2|    1|  US| -744211593|
|  5|    2|  DE|-1433680238|
|  4|    1|  DE| -366408878|
|  3|    3|  DE|  526286357|
+---+-----+----+-----------+

expected output:

|  7|    9|  HY| -816101137|
|  6|    5|  FE| 1044793796|

Answer 1

You can use joins

val diff = df2.join(df1,df2.col("pitid")!=df1.col("pitid"),"left")

If values of all columns will be same in both dataframe then you can use except

df2.subtract(df1)

Both will gives records in dataframe2 but not in dataframe1