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Given a Pandas on Spark DataFrame named 'pandas_spark_df', write a code snippet that demonstrates how to perform a distributed join operation with another Pandas on Spark DataFrame named 'other_pandas_spark_df' on a common column named 'id'.
A
result = pandas_spark_df.join(other_pandas_spark_df, on='id', how='inner')
B
result = pandas_spark_df.toSpark().join(other_pandas_spark_df.toSpark(), on='id', how='inner')
C
result = pandas_spark_df.join(other_pandas_spark_df.toSpark(), on='id', how='inner')
D
result = pandas_spark_df.toSpark().join(other_pandas_spark_df, on='id', how='inner').toPandasAPI()
