Need to calculate date difference of today date vs converted date field











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I have a table with a column that was previously converted using



(CONVERT(VARCHAR(19), GETDATE(), 112)


With the getdate being the date when the field was inserted. Now I have to compare the current date against the date the field was inserted.
The issue I'm facing is that when the date field is from last month, say 20131004, I calculate date difference by (CONVERT(VARCHAR(19), GETDATE(), 112) - 20131004, the result is 200. Obviously this is wrong...
Could you please suggest me how I could calculate the true date difference?










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  • 3




    Why don't you change the data type to the right one (DATE) instead of dealing with conversions to and from a string? Also stop using lazy shorthand like DATE1 - DATE2 (it doesn't work with the data types you should be using since SQL Server 2008). Use DATEDIFF(DAY, column, GETDATE()). Assuming all of your data is "good" (any bad data can get in there when you use the wrong data type), this should work without any conversions.
    – Aaron Bertrand
    Dec 3 '13 at 23:27












  • thanks but, the watch is that the table wasn't created by me and I donot have access to how the date is being inserted. I need to deal with what I have...
    – user2669043
    Dec 4 '13 at 3:21

















up vote
1
down vote

favorite
1












I have a table with a column that was previously converted using



(CONVERT(VARCHAR(19), GETDATE(), 112)


With the getdate being the date when the field was inserted. Now I have to compare the current date against the date the field was inserted.
The issue I'm facing is that when the date field is from last month, say 20131004, I calculate date difference by (CONVERT(VARCHAR(19), GETDATE(), 112) - 20131004, the result is 200. Obviously this is wrong...
Could you please suggest me how I could calculate the true date difference?










share|improve this question


















  • 3




    Why don't you change the data type to the right one (DATE) instead of dealing with conversions to and from a string? Also stop using lazy shorthand like DATE1 - DATE2 (it doesn't work with the data types you should be using since SQL Server 2008). Use DATEDIFF(DAY, column, GETDATE()). Assuming all of your data is "good" (any bad data can get in there when you use the wrong data type), this should work without any conversions.
    – Aaron Bertrand
    Dec 3 '13 at 23:27












  • thanks but, the watch is that the table wasn't created by me and I donot have access to how the date is being inserted. I need to deal with what I have...
    – user2669043
    Dec 4 '13 at 3:21















up vote
1
down vote

favorite
1









up vote
1
down vote

favorite
1






1





I have a table with a column that was previously converted using



(CONVERT(VARCHAR(19), GETDATE(), 112)


With the getdate being the date when the field was inserted. Now I have to compare the current date against the date the field was inserted.
The issue I'm facing is that when the date field is from last month, say 20131004, I calculate date difference by (CONVERT(VARCHAR(19), GETDATE(), 112) - 20131004, the result is 200. Obviously this is wrong...
Could you please suggest me how I could calculate the true date difference?










share|improve this question













I have a table with a column that was previously converted using



(CONVERT(VARCHAR(19), GETDATE(), 112)


With the getdate being the date when the field was inserted. Now I have to compare the current date against the date the field was inserted.
The issue I'm facing is that when the date field is from last month, say 20131004, I calculate date difference by (CONVERT(VARCHAR(19), GETDATE(), 112) - 20131004, the result is 200. Obviously this is wrong...
Could you please suggest me how I could calculate the true date difference?







sql sql-server-2012






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asked Dec 3 '13 at 23:24









user2669043

32211




32211








  • 3




    Why don't you change the data type to the right one (DATE) instead of dealing with conversions to and from a string? Also stop using lazy shorthand like DATE1 - DATE2 (it doesn't work with the data types you should be using since SQL Server 2008). Use DATEDIFF(DAY, column, GETDATE()). Assuming all of your data is "good" (any bad data can get in there when you use the wrong data type), this should work without any conversions.
    – Aaron Bertrand
    Dec 3 '13 at 23:27












  • thanks but, the watch is that the table wasn't created by me and I donot have access to how the date is being inserted. I need to deal with what I have...
    – user2669043
    Dec 4 '13 at 3:21
















  • 3




    Why don't you change the data type to the right one (DATE) instead of dealing with conversions to and from a string? Also stop using lazy shorthand like DATE1 - DATE2 (it doesn't work with the data types you should be using since SQL Server 2008). Use DATEDIFF(DAY, column, GETDATE()). Assuming all of your data is "good" (any bad data can get in there when you use the wrong data type), this should work without any conversions.
    – Aaron Bertrand
    Dec 3 '13 at 23:27












  • thanks but, the watch is that the table wasn't created by me and I donot have access to how the date is being inserted. I need to deal with what I have...
    – user2669043
    Dec 4 '13 at 3:21










3




3




Why don't you change the data type to the right one (DATE) instead of dealing with conversions to and from a string? Also stop using lazy shorthand like DATE1 - DATE2 (it doesn't work with the data types you should be using since SQL Server 2008). Use DATEDIFF(DAY, column, GETDATE()). Assuming all of your data is "good" (any bad data can get in there when you use the wrong data type), this should work without any conversions.
– Aaron Bertrand
Dec 3 '13 at 23:27






Why don't you change the data type to the right one (DATE) instead of dealing with conversions to and from a string? Also stop using lazy shorthand like DATE1 - DATE2 (it doesn't work with the data types you should be using since SQL Server 2008). Use DATEDIFF(DAY, column, GETDATE()). Assuming all of your data is "good" (any bad data can get in there when you use the wrong data type), this should work without any conversions.
– Aaron Bertrand
Dec 3 '13 at 23:27














thanks but, the watch is that the table wasn't created by me and I donot have access to how the date is being inserted. I need to deal with what I have...
– user2669043
Dec 4 '13 at 3:21






thanks but, the watch is that the table wasn't created by me and I donot have access to how the date is being inserted. I need to deal with what I have...
– user2669043
Dec 4 '13 at 3:21














2 Answers
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up vote
1
down vote



accepted










I agree with @Aaron that you should store a date field in a date field, not a text field.



If for some reason you do want to store it in a text field then the easiest way to calculate the number of days is to convert it back to a date field and then compare it:



SELECT DATEDIFF(DAY, CAST(column_name as DATETIME), GETDATE()) FROM dbo.table


This will throw an error if the value in the column cannot be converted to a date. You'll also need to make sure that the date is formatted correctly for your database. Assuming you use the format 112 you should be ok, but if you have the value 04/12/2013 in the column is that the 4th December 2013 or the 12th April 2013? It depends on how your database is configured.



But anyway, if you always insert dates in that field then you're nuts not making it a date field.



If you need to display the date somewhere then convert it on the way out.






share|improve this answer




























    up vote
    3
    down vote














    1. You should be using the DATE or DATETIME data type for that column. Why on earth would you ever store a date as a string? Do you know how much you lose by doing so? Validation, for one - a VARCHAR(19) column will accept 20131004 12:34 PM but will also accept nonsense values like I am not a date!.



    2. If the data is actually good, you can simply do this instead of lazy shorthand and without any explicit conversions:



      SELECT DATEDIFF(DAY, column_name, GETDATE()) FROM dbo.table;


      If you get an error message with this, then you have bad data. You can identify it like this:



      SELECT column_name FROM dbo.table WHERE ISDATE(column_name) = 0;



    Please read:




    • Bad habits to kick : choosing the wrong data type


    • Bad habits to kick : mis-handling date / range queries


    • Bad Habits to Kick : Using shorthand with date/time operations







    share|improve this answer























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      2 Answers
      2






      active

      oldest

      votes








      2 Answers
      2






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes








      up vote
      1
      down vote



      accepted










      I agree with @Aaron that you should store a date field in a date field, not a text field.



      If for some reason you do want to store it in a text field then the easiest way to calculate the number of days is to convert it back to a date field and then compare it:



      SELECT DATEDIFF(DAY, CAST(column_name as DATETIME), GETDATE()) FROM dbo.table


      This will throw an error if the value in the column cannot be converted to a date. You'll also need to make sure that the date is formatted correctly for your database. Assuming you use the format 112 you should be ok, but if you have the value 04/12/2013 in the column is that the 4th December 2013 or the 12th April 2013? It depends on how your database is configured.



      But anyway, if you always insert dates in that field then you're nuts not making it a date field.



      If you need to display the date somewhere then convert it on the way out.






      share|improve this answer

























        up vote
        1
        down vote



        accepted










        I agree with @Aaron that you should store a date field in a date field, not a text field.



        If for some reason you do want to store it in a text field then the easiest way to calculate the number of days is to convert it back to a date field and then compare it:



        SELECT DATEDIFF(DAY, CAST(column_name as DATETIME), GETDATE()) FROM dbo.table


        This will throw an error if the value in the column cannot be converted to a date. You'll also need to make sure that the date is formatted correctly for your database. Assuming you use the format 112 you should be ok, but if you have the value 04/12/2013 in the column is that the 4th December 2013 or the 12th April 2013? It depends on how your database is configured.



        But anyway, if you always insert dates in that field then you're nuts not making it a date field.



        If you need to display the date somewhere then convert it on the way out.






        share|improve this answer























          up vote
          1
          down vote



          accepted







          up vote
          1
          down vote



          accepted






          I agree with @Aaron that you should store a date field in a date field, not a text field.



          If for some reason you do want to store it in a text field then the easiest way to calculate the number of days is to convert it back to a date field and then compare it:



          SELECT DATEDIFF(DAY, CAST(column_name as DATETIME), GETDATE()) FROM dbo.table


          This will throw an error if the value in the column cannot be converted to a date. You'll also need to make sure that the date is formatted correctly for your database. Assuming you use the format 112 you should be ok, but if you have the value 04/12/2013 in the column is that the 4th December 2013 or the 12th April 2013? It depends on how your database is configured.



          But anyway, if you always insert dates in that field then you're nuts not making it a date field.



          If you need to display the date somewhere then convert it on the way out.






          share|improve this answer












          I agree with @Aaron that you should store a date field in a date field, not a text field.



          If for some reason you do want to store it in a text field then the easiest way to calculate the number of days is to convert it back to a date field and then compare it:



          SELECT DATEDIFF(DAY, CAST(column_name as DATETIME), GETDATE()) FROM dbo.table


          This will throw an error if the value in the column cannot be converted to a date. You'll also need to make sure that the date is formatted correctly for your database. Assuming you use the format 112 you should be ok, but if you have the value 04/12/2013 in the column is that the 4th December 2013 or the 12th April 2013? It depends on how your database is configured.



          But anyway, if you always insert dates in that field then you're nuts not making it a date field.



          If you need to display the date somewhere then convert it on the way out.







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Dec 3 '13 at 23:46









          Greg

          2,40432042




          2,40432042
























              up vote
              3
              down vote














              1. You should be using the DATE or DATETIME data type for that column. Why on earth would you ever store a date as a string? Do you know how much you lose by doing so? Validation, for one - a VARCHAR(19) column will accept 20131004 12:34 PM but will also accept nonsense values like I am not a date!.



              2. If the data is actually good, you can simply do this instead of lazy shorthand and without any explicit conversions:



                SELECT DATEDIFF(DAY, column_name, GETDATE()) FROM dbo.table;


                If you get an error message with this, then you have bad data. You can identify it like this:



                SELECT column_name FROM dbo.table WHERE ISDATE(column_name) = 0;



              Please read:




              • Bad habits to kick : choosing the wrong data type


              • Bad habits to kick : mis-handling date / range queries


              • Bad Habits to Kick : Using shorthand with date/time operations







              share|improve this answer



























                up vote
                3
                down vote














                1. You should be using the DATE or DATETIME data type for that column. Why on earth would you ever store a date as a string? Do you know how much you lose by doing so? Validation, for one - a VARCHAR(19) column will accept 20131004 12:34 PM but will also accept nonsense values like I am not a date!.



                2. If the data is actually good, you can simply do this instead of lazy shorthand and without any explicit conversions:



                  SELECT DATEDIFF(DAY, column_name, GETDATE()) FROM dbo.table;


                  If you get an error message with this, then you have bad data. You can identify it like this:



                  SELECT column_name FROM dbo.table WHERE ISDATE(column_name) = 0;



                Please read:




                • Bad habits to kick : choosing the wrong data type


                • Bad habits to kick : mis-handling date / range queries


                • Bad Habits to Kick : Using shorthand with date/time operations







                share|improve this answer

























                  up vote
                  3
                  down vote










                  up vote
                  3
                  down vote










                  1. You should be using the DATE or DATETIME data type for that column. Why on earth would you ever store a date as a string? Do you know how much you lose by doing so? Validation, for one - a VARCHAR(19) column will accept 20131004 12:34 PM but will also accept nonsense values like I am not a date!.



                  2. If the data is actually good, you can simply do this instead of lazy shorthand and without any explicit conversions:



                    SELECT DATEDIFF(DAY, column_name, GETDATE()) FROM dbo.table;


                    If you get an error message with this, then you have bad data. You can identify it like this:



                    SELECT column_name FROM dbo.table WHERE ISDATE(column_name) = 0;



                  Please read:




                  • Bad habits to kick : choosing the wrong data type


                  • Bad habits to kick : mis-handling date / range queries


                  • Bad Habits to Kick : Using shorthand with date/time operations







                  share|improve this answer















                  1. You should be using the DATE or DATETIME data type for that column. Why on earth would you ever store a date as a string? Do you know how much you lose by doing so? Validation, for one - a VARCHAR(19) column will accept 20131004 12:34 PM but will also accept nonsense values like I am not a date!.



                  2. If the data is actually good, you can simply do this instead of lazy shorthand and without any explicit conversions:



                    SELECT DATEDIFF(DAY, column_name, GETDATE()) FROM dbo.table;


                    If you get an error message with this, then you have bad data. You can identify it like this:



                    SELECT column_name FROM dbo.table WHERE ISDATE(column_name) = 0;



                  Please read:




                  • Bad habits to kick : choosing the wrong data type


                  • Bad habits to kick : mis-handling date / range queries


                  • Bad Habits to Kick : Using shorthand with date/time operations








                  share|improve this answer














                  share|improve this answer



                  share|improve this answer








                  edited Nov 10 at 16:04

























                  answered Dec 3 '13 at 23:31









                  Aaron Bertrand

                  205k27357401




                  205k27357401






























                       

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