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Data Flow task failed after loading 29000 rows out of 234567 rows

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Hi All,

Good morning.

I am facing an issue that Data flow task failing after loading 29000 rows out of 2lakhs rows.

I am loading data from .csv file to OLE DB Destination.

This data flow task is placed inside For each loop container.

Please let me know, is this issue because of any performance issue in SSIS packages such as buffer size.

Please find the error below:

DFT Load Data from FlatFile:Error: The conditional operation failed.

DFT Load Data from FlatFile:Error: SSIS Error Code DTS_E_INDUCEDTRANSFORMFAILUREONERROR. The "DER Add Calc Columns" failed because error code 0xC0049063 occurred, and the error row disposition on "DER Add Calc Columns.Outputs[Derived Column Output].Columns[M_VALUE_NUM]" specifies failure on error. An error occurred on the specified object of the specified component.  There may be error messages posted before this with more information about the failure.

DFT Load Data from FlatFile:Error: SSIS Error Code DTS_E_PROCESSINPUTFAILED.  The ProcessInput method on component "DER Add Calc Columns" (48) failed with error code 0xC0209029 while processing input "Derived Column Input" (49). The identified component returned an error from the ProcessInput method. The error is specific to the component, but the error is fatal and will cause the Data Flow task to stop running.  There may be error messages posted before this with more information about the failure.

DFT Load Data from FlatFile:Error: The attempt to add a row to the Data Flow task buffer failed with error code 0xC0047020.
DFT Load Data from FlatFile:Error: SSIS Error Code DTS_E_PRIMEOUTPUTFAILED. The PrimeOutput method on Flat File Source returned error code 0xC02020C4. The component returned a failure code when the pipeline engine called PrimeOutput(). The meaning of the failure code is defined by the component, but the error is fatal and the pipeline stopped executing. There may be error messages posted before this with more information about the failure.

Thank you.



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