有沒有比聯盟所有更簡單的方法？

Question

我有一個相當大的查詢選擇某個日期範圍內的數據。

我想根據年份對數據進行分組。

現在我有：

;with mappingTable as 
(
select b.CLIENT_ID,f.patient_id,f.received_date,f.SPECIMEN_ID 
from F_ACCESSION_DAILY f 
join 
(
select f.client_id,a.patient_id 
from 
(
SELECT 
     max(received_date) AS received_date 
    , patient_id   AS Patient_ID 
FROM F_ACCESSION_DAILY 
group by PATIENT_ID 
) a 
join F_ACCESSION_DAILY f 
on f.PATIENT_ID=a.Patient_ID 
and f.RECEIVED_DATE=a.received_date 
) b 
on b.Patient_ID=f.PATIENT_ID 
where f.RECEIVED_DATE between '20100101' and '20110101' - as you can see this data is only for 2010 
) ---there's much more to this query 

，你可以看到這個數據只適用於2010

，但我想對所有年做union all：2008年，2009年，2010年，2011年，2012 ...

我該如何做到這一點，而不用重寫查詢5次，並在它們之間做了union all？

這裏的整個怪物查詢：

;with mappingTable as 
(
select b.CLIENT_ID,f.patient_id,f.received_date,f.SPECIMEN_ID 
from F_ACCESSION_DAILY f 
join 
(
select f.client_id,a.patient_id 
from 
(
SELECT 
     max(received_date) AS received_date 
    , patient_id   AS Patient_ID 
FROM F_ACCESSION_DAILY 
group by PATIENT_ID 
) a 
join F_ACCESSION_DAILY f 
on f.PATIENT_ID=a.Patient_ID 
and f.RECEIVED_DATE=a.received_date 
) b 
on b.Patient_ID=f.PATIENT_ID 
where f.RECEIVED_DATE between '20100101' and '20110101' 
) 
, 
    counted as(
SELECT 
PATIENT_ID, 
    client_id, 
    --case when COUNT(*)>=12 then 12 else COUNT(*) end TimesTested, 
    COUNT(*) as timestested, 
    case when count(*)>1 then 
    (datediff(day,MIN(received_date),max(received_date))) 
    /(COUNT(*)-1) 
else 
0 
end as testfreq 
    FROM mappingTable 
    GROUP BY 
    client_id, 
    patient_id  

),counted2 as (
    SELECT 
    client_id, 
    TimesTested, 
    CAST(COUNT(*) AS varchar(30)) AS count, 
    CAST(AVG(testfreq) as varchar(30)) as TestFreq, 
    CAST(STDEV(TestFreq) as varchar(30)) Stdv 
    FROM counted 
    GROUP BY 
    client_id, 
    TimesTested 
    ), 







    counted3 as 
    (
    SELECT 
    patient_id, 
    client_id, 
    TimesTested, 
    CAST(COUNT(*) AS varchar(30)) AS count, 
    AVG(testfreq) as TestFreq 
    FROM counted 
    GROUP BY 
    client_id, 
    TimesTested, 
    PATIENT_ID 
    ) 
    , 
    CountOver12 as 
    ( select client_id,count(*) count 
    from counted 
    where timestested>12 
    group by CLIENT_ID) 
    , 
    TotalAvgTestFreq as (

    select client_id, SUM(testfreq)/count(testfreq) TotalAvgTestFreq 
    from counted3 
    group by client_id 
    ) 



    , 
unpivoted AS (
    SELECT 
    client_id, 
    ColumnName + CAST(TimesTested AS varchar(10)) AS ColumnName, 
    ColumnValue 
    FROM counted2 
    UNPIVOT (
    ColumnValue FOR ColumnName IN (count, TestFreq,stdv) 
) u 
), 
pivoted AS (
    SELECT 
    client_id clientid, 
    count1, TestFreq1,stdv1, 
    count2, TestFreq2,stdv2, 
    count3, TestFreq3,stdv3, 
    count4, TestFreq4,stdv4, 
    count5, TestFreq5,stdv5, 
    count6, TestFreq6,stdv6, 
    count7, TestFreq7,stdv7, 
    count8, TestFreq8,stdv8, 
    count9, TestFreq9,stdv9, 
    count10, TestFreq10,stdv10, 
    count11, TestFreq11,stdv11, 
    count12, TestFreq12,stdv12 
    FROM unpivoted 
    PIVOT (
    MAX(ColumnValue) FOR ColumnName IN (
     count1,TestFreq1,stdv1, 
     count2,TestFreq2,stdv2, 
     count3,TestFreq3,stdv3, 
     count4,TestFreq4,stdv4, 
     count5,TestFreq5,stdv5, 
     count6,TestFreq6,stdv6, 
     count7,TestFreq7,stdv7, 
    count8, TestFreq8, stdv8, 
    count9, TestFreq9, stdv9, 
    count10, TestFreq10,stdv10, 
    count11, TestFreq11,stdv11, 
    count12, TestFreq12,stdv12 
    ) 
) p 
) 
, 
PatientStats as 
(
select 
distinct 
f.client_id 
,datediff(MM,c.mlis_date_established,GETDATE()) MonthsCustomer 
,count(distinct patient_id) TotalPatients 
,count(distinct specimen_id) TotalSpecimens 
from mappingTable f 
left join D_CLIENT c 
on f.CLIENT_ID=c.CLIENT_ID 
group by f.client_id,c.mlis_date_established 
) 
, 
Over12 
as 
(
select client_id,SUM(c) sumcount from 
(
select CLIENT_ID,COUNT(*) c 
from mappingTable 
group by CLIENT_ID,PATIENT_ID 
having count(*)>12 
) a 
group by client_id 
), 
GetMedian as(

    select client_id, avg(timestested) median_testfreq 
from 
(
    select client_id, 
      timestested, 
      rn=row_number() over (partition by CLIENT_ID 
           order by timestested), 
      c=count(timestested) over (partition by CLIENT_ID) 
    from counted3 
    where timestested>1 
) g 
where rn in (round(c/2,0),c/2+1) 
group by client_id 
    ) 
, final as (
SELECT p.*,pivoted.*,c12.count [Count13+],Over12.sumcount SumofGreaterThan12,t.TotalAvgTestFreq,median.median_testfreq 
FROM pivoted 
left join PatientStats p 
on p.CLIENT_ID=pivoted.CLIENTID 
left join Over12 
on over12.CLIENT_ID=p.CLIENT_ID 
left join TotalAvgTestFreq t 
on t.CLIENT_ID=p.CLIENT_ID 
left join CountOver12 C12 
on c12.CLIENT_ID=p.CLIENT_ID 
left join GetMedian median 
on median.CLIENT_ID=p.CLIENT_ID 
where p.CLIENT_ID not in (select CLIENTid from SalesDWH..TestPractices) 
) 
/* Get the data into a temp table */ 
SELECT * INTO #TempTable 
FROM final 
/* Drop the cloumns that are not needed */ 
ALTER TABLE #TempTable 
DROP COLUMN clientid 
/* Get results and drop temp table */ 
SELECT * FROM #TempTable 
DROP TABLE #TempTable 

Answer 1

創建一個表函數：

CREATE FUNCTION fn_get_data_by_date_range 
(
    @start AS VARCHAR(8), 
    @end AS VARCHAR(8) 
) 
RETURNS TABLE 
AS 
RETURN 
(
    ...your query... 
    WHERE f.RECEIVED_DATE BETWEEN @start AND @end 
) 

那麼你可以UNION不同的是函數的調用：

SELECT * FROM fn_get_data_by_date_range('20100101','20110101') 
UNION ALL 
SELECT * FROM fn_get_data_by_date_range('20090101','20100101') 
UNION ALL 
.... 
UNION ALL 
SELECT * FROM fn_get_data_by_date_range('20070101','20080101')