On 9/07/2009 9:33 AM, Rick Ratchford wrote:
> Lucky nothing. You're just brilliant. Such humility. :-)
> 
> Yes, it worked wonderfully. The dataset only contains data that does not
> fall on weekends. Stock data to be exact.
> 
> It is likely to start sometime during the year of the first year available
> and end sometime during the year of the last year. I want to only return
> 'complete years' from January to December.
> 
> Now I will admit that I made a minor adjustment once Igor pointed me in the
> right direction. Since stock data does not start on Jan 01, as that is New
> Year's and no trading occurs then, and that not all years will see trading
> on Dec 31. I simply adjusted the statement to allow a few days following Jan
> 01 and a few before Dec 31. 
> 
> Thanks again. :-) 
> 
> Rick
> 
>  
> 
> -----Original Message-----
> From: [email protected]
> [mailto:[email protected]] On Behalf Of Igor Tandetnik
> Sent: Wednesday, July 08, 2009 6:17 PM
> To: [email protected]
> Subject: Re: [sqlite] Getting Complete Years Only
> 
> John Machin <[email protected]> wrote:
>> On 9/07/2009 3:39 AM, Igor Tandetnik wrote:
>>> Rick Ratchford
>>> <[email protected]> wrote:
>>>> Can someone help me with a SQL request?
>>>>
>>>> The Table contains Date, as well as Year, Month and Day columns.
>>>>
>>>> I would like to return a recordset that is made up of only COMPLETE 
>>>> YEARS, from January to December.
>>>>
>>>> Say my data starts on August 14, 1975 and ends with May 4, 2009.
>>>>
>>>> How do I get just those records that start from January 1, 1976 to 
>>>> December 31, 2008, as those would be the only COMPLETE YEARS from 
>>>> January to December in my table?
>>> Perhaps something like this:
>>>
>>> select * from myTable
>>> where Year between
>>>     (select min(Year) from myTable where Month=1 and Day=1) and
>>>     (select max(Year) from myTable where Month=12 and Day=31);
>>>
>> This assumes something that wasn't explicitly stated: there is data 
>> for each and every day from the start date to the end date.
> 
> Hence "perhaps". In the face of incomplete information, I made an educated
> guess and designed the simplest query that would produce correct results
> under certain reasonable assumptions. Occam's razor and all that. Had I
> guessed wrong, the OP would have come back with the explanation as to why
> the query didn't work for him, necessarily supplying the missing information
> in the process. Then I could come up with a more complex query taking new
> facts into account.
> 
> It seems I got lucky on the first attempt, and the OP is happy with the
> results.

It seems you weren't lucky, but the OP has worked out how to adjust the 
query and happiness after all prevails :-)
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