dear friends, I am new to spark. can you please help me to read the below text file using spark and scala.
Sample data bret|lee|A|12345|ae545|gfddfg|86786786 142343345|aaaa|D|ae342 67567|67777|U|aadfsd|34k4|84304|020|sdnfsdfn|3243|benej|32432|jsfsdf|3423 67564|67747|U|aad434|3435|843454|203|sdn454dfn|3233|gdfg|34325|sdfsddf|7657 I am receiving indicator type with 3 rd column of each row. if my indicator type=A, then i need to store that particular row data into a table called Table1. if indicator type=D then i have to store data into seperate table called TableB and same as indicator type=U then i have to store all rows data into a separate table called Table3. Can anyone help me how to read row by row and split the columns and apply the condition based on indicator type and store columns data into respective tables. Thanks, Swetha
