my pivot query generates:
+-----------+----+----+---+---+---+---+---+
| client_id | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
+-----------+----+----+---+---+---+---+---+
| 216436 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 110522 | 76 | 3 | 0 | 0 | 0 | 0 | 0 |
| 214981 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| 216360 | 52 | 1 | 0 | 0 | 0 | 0 | 0 |
| 102574 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 211754 | 97 | 14 | 2 | 0 | 0 | 0 | 0 |
| 210734 | 8 | 4 | 0 | 0 | 0 | 0 | 0 |
| 100123 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 101840 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
+-----------+----+----+---+---+---+---+---+
here's the query:
select client_id,
[1],[2],[3],[4],[5],[6],[7] -- these are timestested (the amount of times tested)
from
( SELECT DISTINCT CLIENT_ID
, PATIENT_ID
, count(*) over (partition by client_id, patient_id) AS patientcount
from f_accession_daily) as SourceTable
PIVOT
(
count(patient_id)
for patientcount in ([1],[2],[3],[4],[5],[6],[7])
) as pivottable
I need to bring the max/min dates for every time tested, (for [1], [2], [3], etc) from this table:
+-----------+-------------+-------+------------+------------+
| client_id | TimesTested | count | maxRecDate | minRecDate |
+-----------+-------------+-------+------------+------------+
| 100034 | 2 | 1 | 6/25/2008 | 6/23/2008 |
| 100034 | 1 | 20 | 6/30/2008 | 6/19/2008 |
| 100038 | 3 | 1 | 7/25/2008 | 7/23/2008 |
| 100038 | 1 | 4 | 7/25/2008 | 7/1/2008 |
| 100050 | 1 | 15 | 8/11/2008 | 7/14/2008 |
| 100060 | 1 | 2 | 8/12/2008 | 7/29/2008 |
| 100070 | 1 | 3 | 8/15/2008 | 8/15/2008 |
| 100049 | 1 | 3 | 8/22/2008 | 7/11/2008 |
| 100029 | 3 | 2 | 8/25/2008 | 6/18/2008 |
+-----------+-------------+-------+------------+------------+
the above table is generated by:
SELECT a.client_id AS client_id
,a.patientcount TimesTested
, count(a.patientcount)/a.patientcount AS count
, max(f.received_date) AS maxRecDate
, min(f.received_date) AS minRecDate
FROM
(
SELECT DISTINCT CLIENT_ID
, PATIENT_ID
, count(*) over (partition by client_id, patient_id) AS patientcount
from f_accession_daily
) AS a
JOIN F_ACCESSION_DAILY AS f ON a.CLIENT_ID = f.CLIENT_ID
AND a.PATIENT_ID = f.PATIENT_ID
GROUP BY a.CLIENT_ID, a.patientcount
the resulting table that i need to get:
+-----------+----+----------+-----------+----+----------+-----------+---+----------+-----------+---+----------+-----------+-----+
| client_id | 1 | maxdate1 | mindate1 | 2 | maxdate2 | mindate2 | 3 | maxdate3 | mindate3 | 4 | maxdate4 | mindate4 | 5 |
+-----------+----+----------+-----------+----+----------+-----------+---+----------+-----------+---+----------+-----------+-----+
| 216436 | 9 | 1/1/2011 | 1/23/1985 | 0 | 1/1/2011 | 1/23/1985 | 0 | 1/1/2011 | 1/23/1985 | 0 | 1/1/2011 | 1/23/1985 | etc |
| 110522 | 76 | 1/1/2011 | 1/23/1984 | 3 | 1/1/2011 | 1/23/1984 | 0 | 1/1/2011 | 1/23/1984 | 0 | 2/1/2011 | 1/23/1984 | |
| 214981 | 0 | 1/1/2013 | 1/23/1985 | 1 | 1/1/2013 | 1/23/1985 | 0 | 1/1/2013 | 1/23/1985 | 0 | 1/1/2013 | 1/23/1985 | |
| 216360 | 52 | 1/1/2011 | 1/23/1985 | 1 | 1/1/2011 | 1/23/1985 | 0 | 1/1/2011 | 1/23/1985 | 0 | 1/1/2011 | 1/23/1985 | |
| 102574 | 1 | 1/1/2011 | 1/23/1985 | 0 | 1/1/2014 | 1/23/1980 | 0 | 2/1/2011 | 1/23/1985 | 0 | 1/1/2011 | 1/23/1985 | |
| 211754 | 97 | 1/1/2012 | 1/23/1985 | 14 | 1/1/2012 | 1/23/1985 | 2 | 1/1/2012 | 1/23/1985 | 0 | 1/1/2012 | 1/23/1985 | |
| 210734 | 8 | 1/1/2011 | 1/23/1984 | 4 | 1/1/2011 | 1/23/1984 | 0 | 1/1/2011 | 1/23/1984 | 0 | 1/1/2011 | 1/23/1984 | |
| 100123 | 1 | 1/1/2011 | 1/23/1985 | 0 | 1/1/2011 | 1/23/1985 | 0 | 1/1/2011 | 1/23/1985 | 0 | 1/1/2011 | 1/23/1987 | |
| 101840 | 2 | 1/1/2011 | 1/23/1985 | 0 | 1/1/2011 | 1/23/1980 | 0 | 1/1/2011 | 1/23/1985 | 0 | 1/1/2011 | 1/23/1985 | |
+-----------+----+----------+-----------+----+----------+-----------+---+----------+-----------+---+----------+-----------+-----+
how do i join the two tables? the speed does not matter! thank you very much for your kind help.
Not the prettiest, but I left your original queries intact and put it all in one [big] statement:
;WITH
PivotQuery as (
select client_id,
[1],[2],[3],[4],[5],[6],[7]
from
( SELECT DISTINCT CLIENT_ID
, PATIENT_ID
, count(*) over (partition by client_id, patient_id) AS patientcount
from f_accession_daily) as SourceTable
PIVOT
(
count(patient_id)
for patientcount in ([1],[2],[3],[4],[5],[6],[7])
) as pivottable),
MinMaxTimes as (
SELECT a.client_id AS client_id
,a.patientcount TimesTested
, count(a.patientcount)/a.patientcount AS count
, max(f.received_date) AS maxRecDate
, min(f.received_date) AS minRecDate
FROM
(
SELECT DISTINCT CLIENT_ID
, PATIENT_ID
, count(*) over (partition by client_id, patient_id) AS patientcount
from f_accession_daily
) AS a
JOIN F_ACCESSION_DAILY AS f ON a.CLIENT_ID = f.CLIENT_ID
AND a.PATIENT_ID = f.PATIENT_ID
GROUP BY a.CLIENT_ID, a.patientcount),
maxDates as (
SELECT client_id, [1] maxdate1, [2] maxdate2, [3] maxdate3, [4] maxdate4, [5] maxdate5, [6] maxdate6, [7] maxdate7
FROM MinMaxTimes t
PIVOT (max(maxRecDate)
for TimesTested IN ([1], [2], [3], [4], [5], [6], [7])
) as p),
minDates as (
SELECT client_id, [1] mindate1, [2] mindate2, [3] mindate3, [4] mindate4, [5] mindate5, [6] mindate6, [7] mindate7
FROM MinMaxTimes t
PIVOT (max(minRecDate)
for TimesTested IN ([1], [2], [3], [4], [5], [6], [7])
) as p)
SELECT p.client_id,
p.[1], max(maxdate1) maxdate1, max(mindate1) mindate1,
p.[2], max(maxdate2) maxdate2, max(mindate2) mindate2,
p.[3], max(maxdate3) maxdate3, max(mindate3) mindate3,
p.[4], max(maxdate4) maxdate4, max(mindate4) mindate4,
p.[5], max(maxdate5) maxdate5, max(mindate5) mindate5,
p.[6], max(maxdate6) maxdate6, max(mindate6) mindate6,
p.[7], max(maxdate7) maxdate7, max(mindate7) mindate7
FROM PivotQuery p
LEFT OUTER JOIN maxDates a ON p.client_id = a.client_id
LEFT OUTER JOIN mindates i ON a.client_id = i.client_id
GROUP BY p.client_id, p.[1], p.[2], p.[3], p.[4], p.[5], p.[6], p.[7]
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