Join two DataFrames where the join key is different and only select some columns

Question

What I would like to do is:

Join two DataFrames A and B using their respective id columns a_id and b_id<

Answer 1

I think the easier solution is just to join table A to table B with selected columns you want. here is a sample code to do this:

joined_tables = table_A.join(table_B.select('col1', 'col2', 'col3'), ['id'])

the code above join all columns from table_A and columns "col1", "col2", "col3" from table_B.