System.Data.Common.DbDataAdapter.UpdatedRowStatusErrors C# (CSharp) Method

        private int UpdatedRowStatusErrors(RowUpdatedEventArgs rowUpdatedEvent, BatchCommandInfo[] batchCommands, int commandCount)
        {
            Debug.Assert(null != batchCommands, "null batchCommands?");
            Exception errors = rowUpdatedEvent.Errors;
            if (null == errors)
            {
                // user changed status to ErrorsOccured without supplying an exception message
                errors = ADP.RowUpdatedErrors();
                rowUpdatedEvent.Errors = errors;
            }

            int affected = 0;
            bool done = false;
            string message = errors.Message;

            for (int i = 0; i < commandCount; i++)
            {
                DataRow row = batchCommands[i]._row;
                Debug.Assert(null != row, "null dataRow?");

                if (null != batchCommands[i]._errors)
                { // will exist if 0 == RecordsAffected
                    string rowMsg = batchCommands[i]._errors.Message;
                    if (string.IsNullOrEmpty(rowMsg))
                    {
                        rowMsg = message;
                    }
                    row.RowError += rowMsg;
                    done = true;
                }
            }
            if (!done)
            { // all rows are in 'error'
                for (int i = 0; i < commandCount; i++)
                {
                    DataRow row = batchCommands[i]._row;
                    // its possible a DBConcurrencyException exists and all rows have records affected
                    // via not overriding GetBatchedRecordsAffected or user setting the exception
                    row.RowError += message;
                }
            }
            else
            {
                affected = UpdatedRowStatusContinue(rowUpdatedEvent, batchCommands, commandCount);
            }
            if (!ContinueUpdateOnError)
            {
                throw errors; // out of Update
            }
            return affected; // return the count of successful rows within the batch failure
        }