We got the following error during bulk insert in SQL server
Microsoft SQL Server 2014 (SP1-GDR) (KB4019091) - 12.0.4237.0 (X64)Web Edition (64-bit) on Windows NT 6.3 <X64> (Build 9600: ) (Hypervisor)
BULK INSERT ABC
FROM ‘D:\Dump001.csv’
WITH (FIELDTERMINATOR = '|',ROWTERMINATOR = '\n', FIRSTROW=2)
Msg 4864, Level 16, State 1, Line 3
Bulk load data conversion error (type mismatch or invalid character for the specified codepage) for row 552612, column 148 (column_amt).
Msg 4864, Level 16, State 1, Line 3
Bulk load data conversion error (type mismatch or invalid character for the specified codepage) for row 635686, column 148 (column_amt).
Msg 4864, Level 16, State 1, Line 3
Bulk load data conversion error (type mismatch or invalid character for the specified codepage) for row 657871, column 148 (column_amt).
Msg 4864, Level 16, State 1, Line 3
Bulk load data conversion error (type mismatch or invalid character for the specified codepage) for row 675625, column 148 (column_amt).
Msg 4864, Level 16, State 1, Line 3
Bulk load data conversion error (type mismatch or invalid character for the specified codepage) for row 675628, column 148 (column_amt).
Msg 4864, Level 16, State 1, Line 3
Bulk load data conversion error (type mismatch or invalid character for the specified codepage) for row 699484, column 148 (column_amt).
Msg 4864, Level 16, State 1, Line 3
Bulk load data conversion error (type mismatch or invalid character for the specified codepage) for row 898948, column 148 (column_amt).
Msg 4864, Level 16, State 1, Line 3
Bulk load data conversion error (type mismatch or invalid character for the specified codepage) for row 997300, column 148 (column_amt).
Msg 4864, Level 16, State 1, Line 3
Bulk load data conversion error (type mismatch or invalid character for the specified codepage) for row 1214311, column 148 (column_amt).
Msg 4864, Level 16, State 1, Line 3
Bulk load data conversion error (type mismatch or invalid character for the specified codepage) for row 1494400, column 148 (column_amt).
We found the exponential values in those columns like 1.0001666E7.
Please help us to resolve this issue or any way for this.
rajesh