Import it as a string and do a derived column to convert it to a float. Whatever rows fail conversion will be re-directed to the error output and you can at least see what the problem is.

Flat File connections fail completely when they encounter problems. It's generally more productive to bring them in as loosely as possible and adding structure inside SSIS.

You almost certainly don't want to be using floats anyway. Use 'numeric' once they're inside the package.

Want a sensible, efficient means of sorting numbers in strings as actual numbers? Consider voting for my Microsoft Connect suggestion: Support "natural sorting" / DIGITSASNUMBERS as a Collation option

There is no easy, built-in means of doing this, but here is a possibility:

Normalize the strings by reformatting them into fixed-length segments:

• Create a sort column of type VARCHAR(50) COLLATE Latin1_General_100_BIN2. The max length of 50 might need to be adjusted based on the max number of segments and their potential maximum lengths.
• While the normalization could be done in the app layer more efficiently, handling this in the database using a T-SQL UDF would allow for placing the scalar UDF into an AFTER [or FOR] INSERT, UPDATE Trigger such that you are guaranteed of properly setting the value for all records, even those coming in via ad hoc queries, etc. Of course, that scalar UDF can also be handled via SQLCLR, but it would need to be tested to determine which one was actually more efficient. ^**
• The UDF (regardless of being in T-SQL or SQLCLR) should:
  • Process an unknown number of segments by reading each character and stopping when the type switches from alpha to numeric or numeric to alpha.
  • Per each segment it should return a fixed-length string set to the maximum possible characters/digits of any segment (or maybe max + 1 or 2 to account for future growth).
  • Alpha segments should be left-justified and right-padded with spaces.
  • Numeric segments should be right-justified and left-padded with zeroes.
  • If alpha characters can come in as mixed-case but the ordering needs to be case-insensitive, apply the UPPER() function to the final result of all segments (so that it only needs to be done once and not per segment). This will allow for proper sorting given the binary collation of the sort column.
• Create an AFTER INSERT, UPDATE Trigger on the table that calls the UDF to set the sort column. To improve performance, use the UPDATE() function to determine if this code column is even in the SET clause of the UPDATE statement (simply RETURN if false), and then join the INSERTED and DELETED pseudo-tables on the code column to only process rows that have changes in the code value. Be sure to specify COLLATE Latin1_General_100_BIN2 on that JOIN condition to ensure accuracy in determining if there is a change.
• Create an Index on the new sort column.

Example:

P7B18   -> "P     000007B     000018"
P12B3   -> "P     000012B     000003"
P12B3C8 -> "P     000012B     000003C     000008"

In this approach, you can sort via:

ORDER BY tbl.SortColumn

And you can do range filtering via:

WHERE tbl.SortColumn BETWEEN dbo.MyUDF('P7B18') AND dbo.MyUDF('P12B3')

or:

DECLARE @RangeStart VARCHAR(50),
        @RangeEnd VARCHAR(50);
SELECT @RangeStart = dbo.MyUDF('P7B18'),
       @RangeEnd = dbo.MyUDF('P12B3');

WHERE tbl.SortColumn BETWEEN @RangeStart AND @RangeEnd

Both the ORDER BY and the WHERE filter should use the binary collation defined for SortColumn due to Collation Precedence.

Equality comparisons would still be done on the original value column.

Other thoughts:

• Use a SQLCLR UDT. This might could work, though it is unclear if it presents a net-gain as compared to the approach described above.

  Yes, a SQLCLR UDT can have its comparison operators overridden with custom algorithms. This handles situations where the value is being compared to either another value that is already the same custom type, or one that needs to be implicitly converted. This should handle the range filter in a WHERE condition.

  With regards to sorting the UDT as a regular column type (not a computed column), this is only possible if the UDT is "byte ordered". Being "byte ordered" means that the binary representation of the UDT (which can be defined in the UDT) naturally sorts in the appropriate order. Assuming that the binary representation is handled similarly to the approach described above for the VARCHAR(50) column that has fixed-length segments that are padded, that would qualify. Or, if it was not easy to ensure that the binary representation would naturally be ordered in the proper way, you could expose a method or property of the UDT that outputs a value that would be properly ordered, and then create a PERSISTED computed column on that method or property. The method needs to be deterministic and marked as IsDeterministic = true.

  Benefits of this approach are:

  • No need for an "original value" field.
  • No need to call a UDF to insert the data or to compare values. Assuming that the Parse method of the UDT takes in the P7B18 value and converts it, then you should be able to simply insert the values naturally as P7B18. And with the implicit conversion method set in the UDT, the WHERE condition would also allow for using simply P7B18`.

  Consequences of this approach are:

  • Simply selecting the field will return the binary representation, if using the byte ordered UDT as the column datatype. Or if using a PERSISTED computed column on a property or method of the UDT, then you would get the representation returned by the property or method. If you want the original P7B18 value, then you need to call a method or property of the UDT that is coded to return that representation. Since you have to override the ToString method anyway, that is a good candidate for providing this.

  • It is unclear (at least to me right now since I have not tested this part) how easy/difficult it would be to make any changes to the binary representation. Changing the stored, sortable representation might require dropping and re-adding the field. Also, dropping the Assembly containing the UDT would fail if used in either manner, so you would want to make sure that there was nothing else in the Assembly besides this UDT. You can ALTER ASSEMBLY to replace the definition, but there are some restrictions on that.

    On the other hand, the VARCHAR() field is data that is disconnected from the algorithm so it would only require updating the column. And if there are tens of millions of rows (or more) then that can be done in a batched approach.

• Implement the ICU library which actually allows for doing this alphanumeric sorting. While highly functional, the library only comes in two languages: C/C++ and Java. Which means you might need to either do some tweaks to get it to work in Visual C++, or there is the off chance that the Java code can be converted to MSIL using IKVM. There are one or two .NET side projects linked on that site that provide a COM interface that can be accessed in managed code, but I believe they have not been updated in a while and I have not tried them. The best-bet here would be to handle this in the app layer with the goal of generating sort keys. The sort keys would then be saved into a new sort column.

  This might not be the most practical approach. However, it is still very cool that such an ability exists. I provided a more detailed walk-through of an example of this in the following answer:

  Is there a collation to sort the following strings in the following order 1,2,3,6,10,10A,10B,11?

  But the pattern being dealt with in that question is a bit simpler. For an example showing that the type of pattern being dealt with in this Question also works, please go to the following page:

  ICU Collation Demo

  Under "Settings", set the "numeric" option to "on" and all of the others should be set to "default". Next, to the right of the "sort" button, uncheck the option for "diff strengths" and check the option for "sort keys". Then replace the list of items in the "Input" text area with the following list:

  P12B22
  P7B18
  P12B3
  as456456hgjg6786867
  P7Bb19
  P7BA19
  P7BB19
  P007B18
  P7Bb20
  P7Bb19z23
  

  Click the "sort" button. The "Output" text area should display the following:

  as456456hgjg6786867
      29 4D 0F 7A EA C8 37 35 3B 35 0F 84 17 A7 0F 93 90 , 0D , , 0D .
  P7B18
      47 0F 09 2B 0F 14 , 08 , FD F1 , DC C5 DC 05 .
  P007B18
      47 0F 09 2B 0F 14 , 08 , FD F1 , DC C5 DC 05 .
  P7BA19
      47 0F 09 2B 29 0F 15 , 09 , FD FF 10 , DC C5 DC DC 05 .
  P7Bb19
      47 0F 09 2B 2B 0F 15 , 09 , FD F2 , DC C5 DC 06 .
  P7BB19
      47 0F 09 2B 2B 0F 15 , 09 , FD FF 10 , DC C5 DC DC 05 .
  P7Bb19z23
      47 0F 09 2B 2B 0F 15 5B 0F 19 , 0B , FD F4 , DC C5 DC 08 .
  P7Bb20
      47 0F 09 2B 2B 0F 16 , 09 , FD F2 , DC C5 DC 06 .
  P12B3
      47 0F 0E 2B 0F 05 , 08 , FD F1 , DC C5 DC 05 .
  P12B22
      47 0F 0E 2B 0F 18 , 08 , FD F1 , DC C5 DC 05 .
  

  Please note that the sort keys are structure in multiple fields, separated by commas. Each field needs to be sorted independently, so that presents another small problem to solve if needing to implement this in SQL Server.

^** If there is any concern about performance regarding the use of User-Defined Functions, please note that the proposed approaches make minimal use of them. In fact, the main reason for storing the normalized value was to avoid calling a UDF per each row of each query. In the primary approach, the UDF is used to set the value of SortColumn, and that is only done upon INSERT and UPDATE via the Trigger. Selecting values is much more common than inserting and updating, and some value are never updated. Per each SELECT query that uses the SortColumn for a range filter in the WHERE clause, the UDF is only needed one time per each of the range_start and range_end values to get the normalized values; the UDF is not called per-row.

With regards to the UDT, the usage is actually the same as with the scalar UDF. Meaning, inserting and updating would call the normalization method once per each row to set the value. Then, the normalization method would be called once per query per each range_start and range_value in a range filter, but not per row.

A point in favor of handling the normalization entirely in a SQLCLR UDF is that given it is not doing any data access and is deterministic, if it is marked as IsDeterministic = true, then it can participate in parallel plans (which might help the INSERT and UPDATE operations) whereas a T-SQL UDF will prevent a parallel plan from being used.