Does anybody know if there is a way to replicate the method used in this question of using the alias of a sub query to perform calculations on another field in t- SQL?
I tried using the same syntax for the following query in MS SQL Express and got the error below:
DECLARE #PracticeID INT
DECLARE #Date1 date
DECLARE #Date2 date
SET #PracticeID = 11015
SET #Date1 = '2017-06-01'
SET #Date2 = '2017-09-01'
SELECT prtc.PracticeName ,COUNT(CASE WHEN udi.DevicePlatform = 'iOS' THEN 1 ELSE NULL END) iOSLogins,
COUNT(CASE WHEN udi.DevicePlatform = 'Android' THEN 1 ELSE NULL END) AndroidLogins,
( SELECT COUNT(*)
FROM UserEvent UE
WHERE UE.EventTypeID = 1 AND
UE.PracticeID = au.PracticeID AND
(UE.EventDate BETWEEN #Date1 and #Date2)
) TotalNumberLogins,
(SELECT TotalNumberofLogins) - ((SELECT iOSLogins) + (SELECT AndroidLogins )) DesktopLogins
FROM UserDeviceInfo UDI JOIN
AppUser AU ON udi.UserID = au.UserID JOIN
Practice PRTC ON au.PracticeID = prtc.PracticeID
WHERE au.PracticeID = #PracticeID AND
(udi.Created BETWEEN #Date1 AND #Date2)
GROUP BY prtc.PracticeName, au.PracticeID
Msg 207, Level 16, State 1, Line 17 Invalid column name
'TotalNumberofLogins'. Msg 207, Level 16, State 1, Line 17 Invalid
column name 'iOSLogins'. Msg 207, Level 16, State 1, Line 17 Invalid
column name 'AndroidLogins'.
Not that it would make a difference, but I did try putting the alias's in quotes and brackets to no avail.
I did manage to get the desired result from another method by performing the calculations using the same values as variables instead of alias's and then inserting them into a table.
That query is however, verbose and I would like to know if there is any way of replicating the behavior in the referenced question for future use.
Thank you for any help you can provide.
That method doesn't work in SQL Server. You can accomplish the same thing in a couple different ways:
1.) Use the code for each aliased column instead of the alias:
(SELECT COUNT(*)
FROM UserEvent UE
WHERE UE.EventTypeID = 1
AND UE.PracticeID = au.PracticeID
AND (UE.EventDate BETWEEN #Date1 and #Date2)
- COUNT(CASE WHEN udi.DevicePlatform = 'iOS' THEN 1 ELSE NULL END)
+ COUNT(CASE WHEN udi.DevicePlatform = 'Android' THEN 1 ELSE NULL END) Desktop Logics
2.) Use a derived table to make the columns, then you can reference them by alias:
SELECT PracticeName, iOSLogins, AndroidLogins, TotalNumberLogins,
(TotalNumberofLogins - (iOSLogins + AndroidLogins)) DesktopLogins
FROM (
SELECT prtc.PracticeName,
COUNT(CASE WHEN udi.DevicePlatform = 'iOS' THEN 1 ELSE NULL END) iOSLogins,
COUNT(CASE WHEN udi.DevicePlatform = 'Android' THEN 1 ELSE NULL END) AndroidLogins,
( SELECT COUNT(*)
FROM UserEvent UE
WHERE UE.EventTypeID = 1
AND UE.PracticeID = au.PracticeID
AND (UE.EventDate BETWEEN #Date1 and #Date2)
) TotalNumberLogins,
FROM UserDeviceInfo UDI
JOIN AppUser AU ON udi.UserID = au.UserID
JOIN Practice PRTC ON au.PracticeID = prtc.PracticeID
WHERE au.PracticeID = #PracticeID
AND (udi.Created BETWEEN #Date1 AND #Date2)
GROUP BY prtc.PracticeName, au.PracticeID
) a --table alias
Edit: Table alias explained
In a simple query:
SELECT col1 FROM Table
You know the table reference for col1 is Table. (Table.Col1) You don't have to write it if it is the only col1, but you still know the table it is referencing.
In a simple derived table:
SELECT col1 FROM (SELECT col1 FROM Table)
The table reference for the inner column is still Table, but what about the outer? In this case, everything within the parentheses is your table, but in the above example that table is unnamed. SQL Server requires that you name/alias the table that you have created so you can reference it:
SELECT col1 FROM (SELECT col1 FROM Table) MyDerivedTable
...and now you have a table reference for your outer column:
SELECT MyDerivedTable.col1 FROM (SELECT col1 FROM Table) MyDerivedTable
You can also see a greater need for this once more tables are involved:
SELECT MyDerivedTable.col1
FROM (SELECT col1 FROM Table) MyDerivedTable
JOIN Table T on T.col1 = MyDerivedTable.col1
Edit 2: CTE option:
Another option is a common table expression or CTE:
with cteName as (
SELECT prtc.PracticeName,
COUNT(CASE WHEN udi.DevicePlatform = 'iOS' THEN 1 ELSE NULL END) iOSLogins,
COUNT(CASE WHEN udi.DevicePlatform = 'Android' THEN 1 ELSE NULL END) AndroidLogins,
( SELECT COUNT(*)
FROM UserEvent UE
WHERE UE.EventTypeID = 1
AND UE.PracticeID = au.PracticeID
AND (UE.EventDate BETWEEN #Date1 and #Date2)
) TotalNumberLogins,
FROM UserDeviceInfo UDI
JOIN AppUser AU ON udi.UserID = au.UserID
JOIN Practice PRTC ON au.PracticeID = prtc.PracticeID
WHERE au.PracticeID = #PracticeID
AND (udi.Created BETWEEN #Date1 AND #Date2)
GROUP BY prtc.PracticeName, au.PracticeID
)
SELECT PracticeName, iOSLogins, AndroidLogins, TotalNumberLogins,
(TotalNumberofLogins - (iOSLogins + AndroidLogins)) DesktopLogins
FROM cteName
These can be pretty convenient because they create a clear separation between the outer and inner queries. Ultimately it does the same thing as inline derived tables, so choose whichever version is more readable to you. (props to xorcus for suggesting the CTE addition)
Related
I am trying to get the max date by account from 3 different tables and view those dates side by side. I created a separate query for each table, merged the results with UNION ALL, and then wrapped all that in a PIVOT.
The first 2 sections in the link/pic below show what I have been able to accomplish and the 3rd section is what I would like to do.
Query results by step
How can I get the results from 2 of the tables to repeat? Is that possible?
--define var_ent_type = 'ACOM'
--define var_ent_id = '52766'
--define var_dict_id = 113
SELECT
*
FROM
(
SELECT
E.ENTITY_TYPE,
E.ENTITY_ID,
'PERF_SUMMARY' as "TableName",
PS.DICTIONARY_ID,
to_char(MAX(PS.END_EFFECTIVE_DATE), 'YYYY-MM-DD') as "MaxDate"
FROM
RULESDBO.ENTITY E
INNER JOIN PERFORMDBO.PERF_SUMMARY PS ON (PS.ENTITY_ID = E.ENTITY_ID)
WHERE
1=1
-- AND E.ENTITY_TYPE = '&var_ent_type'
-- AND E.ENTITY_ID = '&var_ent_id'
AND PS.DICTIONARY_ID >= 100
AND (E.ACTIVE_STATUS <> 'N' )--and E.TERMINATION_DATE is null )
GROUP BY
E.ENTITY_TYPE,
E.ENTITY_ID,
'PERF_SUMMARY',
PS.DICTIONARY_ID
union all
SELECT
E.ENTITY_TYPE,
E.ENTITY_ID,
'POSITION' as "TableName",
0 as DICTIONARY_ID,
to_char(MAX(H.EFFECTIVE_DATE), 'YYYY-MM-DD') as "MaxDate"
FROM
RULESDBO.ENTITY E
INNER JOIN HOLDINGDBO.POSITION H ON (H.ENTITY_ID = E.ENTITY_ID)
WHERE
1=1
-- AND E.ENTITY_TYPE = '&var_ent_type'
-- AND E.ENTITY_ID = '&var_ent_id'
AND (E.ACTIVE_STATUS <> 'N' )--and E.TERMINATION_DATE is null )
GROUP BY
E.ENTITY_TYPE,
E.ENTITY_ID,
'POSITION',
1
union all
SELECT
E.ENTITY_TYPE,
E.ENTITY_ID,
'CASH_ACTIVITY' as "TableName",
0 as DICTIONARY_ID,
to_char(MAX(C.EFFECTIVE_DATE), 'YYYY-MM-DD') as "MaxDate"
FROM
RULESDBO.ENTITY E
INNER JOIN CASHDBO.CASH_ACTIVITY C ON (C.ENTITY_ID = E.ENTITY_ID)
WHERE
1=1
-- AND E.ENTITY_TYPE = '&var_ent_type'
-- AND E.ENTITY_ID = '&var_ent_id'
AND (E.ACTIVE_STATUS <> 'N' )--and E.TERMINATION_DATE is null )
GROUP BY
E.ENTITY_TYPE,
E.ENTITY_ID,
'CASH_ACTIVITY',
1
--ORDER BY
-- 2,3, 4
)
PIVOT
(
MAX("MaxDate")
FOR "TableName"
IN ('CASH_ACTIVITY', 'PERF_SUMMARY','POSITION')
)
Everything is possible. You only need a window function to make the value repeat across rows w/o data.
--Assuming current query is QC
With QC as (
...
)
select code, account, grouping,
--cash,
first_value(cash) over (partition by code, account order by grouping asc rows unbounded preceding) as cash_repeat,
perf,
--pos,
first_value(pos) over (partition by code, account order by grouping asc rows unbounded preceding) as pos_repeat
from QC
;
See first_value() help here: https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlrf/FIRST_VALUE.html#GUID-D454EC3F-370C-4C64-9B11-33FCB10D95EC
I'm using SQL Server 2000 (80). So, it's not possible to use the LAG function.
I have a code a data set with four columns:
Purchase_Date
Facility_no
Seller_id
Sale_id
I need to identify missing Sale_ids. So every sale_id is a 100% sequential, so the should not be any gaps in order.
This code works for a specific date and store if specified. But i need to work on entire data set looping looping through every facility_id and every seller_id for ever purchase_date
declare #MAXCOUNT int
set #MAXCOUNT =
(
select MAX(Sale_Id)
from #table
where
Facility_no in (124) and
Purchase_date = '2/7/2020'
and Seller_id = 1
)
;WITH TRX_COUNT AS
(
SELECT 1 AS Number
union all
select Number + 1 from TRX_COUNT
where Number < #MAXCOUNT
)
select * from TRX_COUNT
where
Number NOT IN
(
select Sale_Id
from #table
where
Facility_no in (124)
and Purchase_Date = '2/7/2020'
and seller_id = 1
)
order by Number
OPTION (maxrecursion 0)
My Dataset
This column:
case when
Sale_Id=0 or 1=Sale_Id-LAG(Sale_Id) over (partition by Facility_no, Purchase_Date, Seller_id)
then 'OK' else 'Previous Missing' end
will tell you which Seller_Ids have some sale missing. If you want to go a step further and have exactly your desired output, then filter out and distinct the 'Previous Missing' ones, and join with a tally table on not exists.
Edit: OP mentions in comments they can't use LAG(). My suggestion, then, would be:
Make a temp table that that has the max(sale_id) group by facility/seller_id
Then you can get your missing results by this pseudocode query:
Select ...
from temptable t
inner join tally N on t.maxsale <=N.num
where not exists( select ... from sourcetable s where s.facility=t.facility and s.seller=t.seller and s.sale=N.num)
> because the only way to "construct" nonexisting combinations is to construct them all and just remove the existing ones.
This one worked out
; WITH cte_Rn AS (
SELECT *, ROW_NUMBER() OVER(PARTITION BY Facility_no, Purchase_Date, Seller_id ORDER BY Purchase_Date) AS [Rn_Num]
FROM (
SELECT
Facility_no,
Purchase_Date,
Seller_id,
Sale_id
FROM MyTable WITH (NOLOCK)
) a
)
, cte_Rn_0 as (
SELECT
Facility_no,
Purchase_Date,
Seller_id,
Sale_id,
-- [Rn_Num] AS 'Skipped Sale'
-- , case when Sale_id = 0 Then [Rn_Num] - 1 Else [Rn_Num] End AS 'Skipped Sale for 0'
, [Rn_Num] - 1 AS 'Skipped Sale for 0'
FROM cte_Rn a
)
SELECT
Facility_no,
Purchase_Date,
Seller_id,
Sale_id,
-- [Skipped Sale],
[Skipped Sale for 0]
FROM cte_Rn_0 a
WHERE NOT EXISTS
(
select * from cte_Rn_0 b
where b.Sale_id = a.[Skipped Sale for 0]
and a.Facility_no = b.Facility_no
and a.Purchase_Date = b.Purchase_Date
and a.Seller_id = b.Seller_id
)
--ORDER BY Purchase_Date ASC
I have a table that looks like this:
A slowly changing dimension type 2, according to Kimball.
Key is just a surrogate key, a key to make rows unique.
As you can see there are three rows for product A.
Timelines for this product are ok. During time the description of the product changes.
From 1-1-2020 up until 4-1-2020 the description of this product was ProdA1.
From 5-1-2020 up until 12-2-2020 the description of this product was ProdA2 etc.
If you look at product B, you see there are gaps in the timeline.
We use DB2 V12 z/Os. How can I check if there are gaps in the timelines for each and every product?
Tried this, but doesn't work
with selectie (key, tel) as
(select product, count(*)
from PROD_TAB
group by product
having count(*) > 1)
Select * from
PROD_TAB A
inner join selectie B
on A.product = B.product
Where not exists
(SELECT 1 from PROD_TAB C
WHERE A.product = C.product
AND A.END_DATE + 1 DAY = C.START_DATE
)
Does anyone know the answer?
The following query returns all gaps for all products.
The idea is to enumerate (RN column) all periods inside each product by START_DATE and join each record with its next period record.
WITH
/*
MYTAB (PRODUCT, DESCRIPTION, START_DATE, END_DATE) AS
(
SELECT 'A', 'ProdA1', DATE('2020-01-01'), DATE('2020-01-04') FROM SYSIBM.SYSDUMMY1
UNION ALL SELECT 'A', 'ProdA2', DATE('2020-01-05'), DATE('2020-02-12') FROM SYSIBM.SYSDUMMY1
UNION ALL SELECT 'A', 'ProdA3', DATE('2020-02-13'), DATE('2020-12-31') FROM SYSIBM.SYSDUMMY1
UNION ALL SELECT 'B', 'ProdB1', DATE('2020-01-05'), DATE('2020-01-09') FROM SYSIBM.SYSDUMMY1
UNION ALL SELECT 'B', 'ProdB2', DATE('2020-01-12'), DATE('2020-03-14') FROM SYSIBM.SYSDUMMY1
UNION ALL SELECT 'B', 'ProdB3', DATE('2020-03-15'), DATE('2020-04-18') FROM SYSIBM.SYSDUMMY1
UNION ALL SELECT 'B', 'ProdB4', DATE('2020-04-16'), DATE('2020-05-03') FROM SYSIBM.SYSDUMMY1
)
,
*/
MYTAB_ENUM AS
(
SELECT
T.*
, ROWNUMBER() OVER (PARTITION BY PRODUCT ORDER BY START_DATE) RN
FROM MYTAB T
)
SELECT A.PRODUCT, A.END_DATE + 1 START_DT, B.START_DATE - 1 END_DT
FROM MYTAB_ENUM A
JOIN MYTAB_ENUM B ON B.PRODUCT = A.PRODUCT AND B.RN = A.RN + 1
WHERE A.END_DATE + 1 <> B.START_DATE
AND A.END_DATE < B.START_DATE;
The result is:
|PRODUCT|START_DT |END_DT |
|-------|----------|----------|
|B |2020-01-10|2020-01-11|
May be more efficient way:
WITH MYTAB2 AS
(
SELECT
T.*
, LAG(END_DATE) OVER (PARTITION BY PRODUCT ORDER BY START_DATE) END_DATE_PREV
FROM MYTAB T
)
SELECT PRODUCT, END_DATE_PREV + 1 START_DATE, START_DATE - 1 END_DATE
FROM MYTAB2
WHERE END_DATE_PREV + 1 <> START_DATE
AND END_DATE_PREV < START_DATE;
Thnx Mark, will try this one of these days.
Never heard of LAG in DB2 V12 for z/Os
Will read about it
Thnx
I have this script:
SELECT 'pro' as descript, COUNT(*) as cnt FROM Trade.TradesMen where TradesManAccountType_Value = 2 AND HasTradeListing = 1
UNION ALL
SELECT 'std' as descript, COUNT(*) as cnt FROM Trade.TradesMen tm
INNER JOIN Membership.Members m ON m.MemberId = tm.MemberId
INNER JOIN aspnet_Membership am ON am.UserId = m.AspNetUserId
WHERE tm.TradesManAccountType_Value = 1 AND tm.HasTradeListing = 1 AND am.IsApproved = 1
UNION ALL
SELECT 'listed' as descript, COUNT(*) as cnt FROM Trade.TradesMen where HasTradeListing = 1
UNION ALL
SELECT 'all' as descript, COUNT(*) as cnt FROM Trade.TradesMen
insert into Admin.VersionHistory values(4,cnt,CURRENT_TIMESTAMP) //is NOT correct
this produces:
1 pro 32549
2 std 13096
3 listed 230547
4 all 231638
I want to add the above as rows in my table: Admin.VersionHistory which has columns VersionHistory type int auto-increment and is the ID, Version which is of type varchar(50) and a datatime stamp
thanks
(updated with new info from OP)
From the top of my head, it would look something like this.
INSERT INTO Admin.VersionHistory (Version, NumberOf, DateAndTime)
SELECT descript, CAST(cnt AS VARCHAR), SYSDATE
FROM
(
SELECT 'pro' as descript, COUNT(*) as cnt FROM Trade.TradesMen where TradesManAccountType_Value = 2 AND HasTradeListing = 1
UNION ALL
SELECT 'std' as descript, COUNT(*) as cnt FROM Trade.TradesMen tm
INNER JOIN Membership.Members m ON m.MemberId = tm.MemberId
INNER JOIN aspnet_Membership am ON am.UserId = m.AspNetUserId
WHERE tm.TradesManAccountType_Value = 1 AND tm.HasTradeListing = 1 AND am.IsApproved = 1
UNION ALL
SELECT 'listed' as descript, COUNT(*) as cnt FROM Trade.TradesMen where HasTradeListing = 1
UNION ALL
SELECT 'all' as descript, COUNT(*) as cnt FROM Trade.TradesMen
) ;
This is assuming the VersionHistoryIdcolumn is automatically seeded by the database. With each insert, an ID number will be automatically inserted.
Not sure what you want to achieve with the CURRENT_TIMESTAMP column though. I put SYSDATE as a timestamp.
The NumberOf column contains the count data. Name it as you see fit.
insert into Admin.VersionHistory
SELECT 'all', COUNT(*),current_timestamp FROM Trade.TradesMen
I have below table in SQL server 2008.Please help to get expected output
Thanks.
CREATE TABLE [dbo].[Test]([Category] [varchar](10) NULL,[Value] [int] NULL,
[Weightage] [int] NULL,[Rn] [smallint] NULL ) ON [PRIMARY]
insert into Test values ('Cat1',310,674,1),('Cat1',783,318,2),('Cat1',310,96,3),('Cat1',109,917,4),('Cat2',441,397,1),('Cat2',637,725,2),('Cat2',460,742,3),('Cat2',542,583,4),('Cat2',601,162,5),('Cat2',45,719,6),('Cat2',46,305,7),('Cat3',477,286,1),('Cat3',702,484,2),('Cat3',797,836,3),('Cat3',541,890,4),('Cat3',750,962,5),('Cat3',254,407,6),('Cat3',136,585,7),('Cat3',198,477,8),('Cat4',375,198,1),('Cat4',528,351,2),('Cat4',845,380,3),('Cat4',716,131,4),('Cat4',781,919,5)
For per category Average Weightage
SELECT
Category,
AVG(Value),
SUM(CASE WHEN RN<4 THEN Weightage ELSE 0 END) / (NULLIF(SUM(CASE WHEN RN<4 THEN 1 ELSE 0 END), 0))
FROM
MyTable
GROUP BY
Category
Average Weightage over the whole set
SELECT
M.Category,
AVG(Value),
foo.AvgWeightage
FROM
MyTable M
CROSS JOIN
(SELECT AVG(Weightage) As AvgWeightage FROM MyTable WHERE Rn < 4) foo
GROUP BY
M.Category, foo.AvgWeightage
Simple:)
SELECT Category,
AVG(Value) AS AvgValue,
AVG(CASE WHEN RN< 4 THEN (Weightage) END ) AS AvgWeightage
FROM Test
GROUP BY Category
Try this
SELECT AvgValue.Category, AvgValue.AvgValue, AvgWeight.Weight
FROM(
(SELECT c.Category,
AVG(c.Value) AS AvgValue
FROM Test c
GROUP BY Category) AvgValue
INNER JOIN
(SELECT Category, AVG(Weightage) AS Weight
FROM Test
WHERE Rn < 4
GROUP BY Category) AvgWeight
ON AvgValue.Category = AvgWeight.Category)