Question

I have a table with two fields of interest for this particular exercise: a CHAR(3) ID and a DATETIME. The ID identifies the submitter of the data – several thousand rows. The DATETIME is not necessarily unique, either. (The primary keys are other fields of the table.)

Data for this table is submitted every six months. In December, we receive July-December data from each submitter, and in June we receive July-June data. My task is to write a script that identifies people who have only submitted half their data, or only submitted January-June data in June.

…Does anyone have a solution?

Answer 1

I later realised that I was supposed to check to make sure that there was data for both July to December and January to June. So this is what I wound up in v2:

SELECT  @avgmonths = AVG(x.[count]) FROM    ( SELECT    CAST(COUNT(DISTINCT DATEPART(month,                                                  DATEADD(month,                                                          DATEDIFF(month, 0, dscdate),                                                          0))) AS FLOAT) AS [count]           FROM      HospDscDate           GROUP BY  hosp          ) x  IF @avgmonths > 7      SET @months = 12 ELSE      SET @months = 6   SELECT  'Submitter missing data for some months' AS [WarningType],      t.id FROM    TheTable t WHERE   EXISTS ( SELECT 1                  FROM   TheTable t1                  WHERE  t.id = t1.id                  HAVING COUNT(DISTINCT DATEPART(month,                        DATEADD(month, DATEDIFF(month, 0, t1.Date), 0))) < @months ) GROUP BY t.id