Hi all, So I Have two dataframes, with two columns: DATE and VALUE.
Performing this:
data = data.join(cur_data, data("DATE") === cur_data("DATE"), "outer")
returns
Exception in thread "main" org.apache.spark.sql.AnalysisException: Reference
'DATE' is ambiguous, could be: DATE#0, DATE#3.;
But if I change one of the column names, I will get two columns and won't
really merge "DATE" column as I wish. Any ideas without going to non trivial
procedures?
Thanks,
Saif
