PySpark: match the values of a DataFrame column against another DataFrame column

Question

In Pandas DataFrame, I can use DataFrame.isin() function to match the column values against another column.

For example: suppose we have one DataFrame:

Answer 1

This kind of operation is called left semi join in spark:

df_B.join(df_A, ['col1'], 'leftsemi')