I have these sample data. (Current Balance is numeric field and has some bad records which need to be replaced)
Accno,Cust_id,gender,DOB,Current_balance
0008647447654709299,87128110,M,29/02/1960,184126.23
0008650447626799299,143500723,F,4/18/1967,165198.85
0008651447674209299,479941323,M,5/5/1979,NULL
0008653447693589299,687746622,M,18-08-1981,#20
0008654447606469299,890134223,M,18-08-1983,0
0008655447659179299,684451923,F,10/9/1982,142.25
0008658447686789299,57470921,F,25-02-1978,458518.25
0008669447629759299,57470925,M,23-01-1981,xx
I need to validate data in Pentaho and want the output like below :
Accno,Cust_id,gender,DOB,Current_balance
0008647447654709299,87128110,M,29/02/1960,184126.23
0008650447626799299,143500723,F,4/18/1967,165198.85
0008651447674209299,479941323,M,5/5/1979,
0008653447693589299,687746622,M,18-08-1981,
0008654447606469299,890134223,M,18-08-1983,0
0008655447659179299,684451923,F,10/9/1982,142.25
0008658447686789299,57470921,F,25-02-1978,458518.25
0008669447629759299,57470925,M,23-01-1981,
That means the validator pass the good row(s) and replace those bad data into null value.
Can anyone suggest how can I do this??