So I have a table called 'Requests' which stores requests for holidays. I want to try extract certain records from the table (joined with others) with the parameter of the clocknumber. But, if there are two records with the same HolidayID and the last (top 1 desc) is of a certain value - we dont include that in the select!
Request Table [shortened down version of it];
http://i.stack.imgur.com/YY1Gk.png
The stored procedure im using is passed a parameter for the username and joins three other tables,
a 'Holidays' table (Stores information on the holiday from, to etc)
a 'Users' table (contains usernames etc)
a 'RequestType' table (contains the types of requests)
From the image of the table, If you imagine all of those requests belong to the same user, I would want to extract only the records with a requesttype of 1. (the requesttype 1 is holiday request and 2 is holiday cancel). But, if there is a second record with the same holidayID and a requesttype of 2, it does not include that.
So running the query, I would want to only get records with the ID 1 and 2, because the last 2 have the same Holiday ID, and the last of the 2 is with a requesttype to cancel the holiday.
Here is my attempted query;
SELECT Holidays.ID, EmployeeClockNumber, Employees.Name AS EmployeeName, HolidayStart, HolidayEnd, HalfDay, AMPM
FROM Holidays
INNER JOIN Employees ON Employees.ClockNumber = Holidays.EmployeeClockNumber
INNER JOIN Requests ON Requests.HolidayID = Holidays.ID
WHERE EmployeeClockNumber = #ClockNo
AND Requests.Accepted = 1
AND RequestTypeID = (SELECT TOP 1 Requests.ID
FROM Requests
INNER JOIN Holidays ON Holidays.ID = Requests.HolidayID
WHERE Requests.RequestTypeID = (SELECT ID FROM RequestType WHERE RequestType = 'Holiday Request')
AND Holidays.EmployeeClockNumber = #ClockNo
ORDER BY Requests.ID DESC)
ORDER BY ID DESC
Could someone point me in the right direction? Thank you
edit: ive got it working myself!
SELECT Holidays.ID, Holidays.EmployeeClockNumber, Employees.Name AS EmployeeName, Holidays.HolidayStart, Holidays.HolidayEnd, Holidays.HalfDay, Holidays.AMPM
FROM Requests
INNER JOIN Holidays ON Holidays.ID = Requests.HolidayID
INNER JOIN Employees ON Employees.ClockNumber = Holidays.EmployeeClockNumber
WHERE Holidays.EmployeeClockNumber = #ClockNo
AND Requests.Accepted = 1
AND Requests.HolidayID NOT IN (SELECT TOP 1 HolidayID
FROM Requests AS R1
WHERE R1.RequestTypeID <> (SELECT ID FROM RequestType WHERE RequestType = 'Holiday Request')
AND R1.HolidayID = Requests.HolidayID
ORDER BY R1.ID DESC)
SELECT * FROM TAB WHERE requestTypeID = 1
AND holidayID not in (SELECT HolidayID from TAB WHERE requestTypeID = 2)
I would use a partition on the select and then filter on that.
So something like
DECLARE #mtable TABLE (
ID INT
,RequestTypeId INT
,HolidayId INT
,Accepted NVARCHAR(50)
)
INSERT #mtable VALUES (1,1,1,'True')
INSERT #mtable VALUES (2,1,2,'True')
INSERT #mtable VALUES (3,1,3,'True')
INSERT #mtable VALUES (4,2,3,'True')
SELECT * FROM (
SELECT MAX(RequestTypeId) OVER (PARTITION BY HolidayID) AS MaxType
,Id
FROM #mtable
) q
WHERE q.MaxType <> 2
Related
Hi I have a table with following fields:
ALERTID POLY_CODE ALERT_DATETIME ALERT_TYPE
I need to query above table for records in the last 24 hour.
Then group by POLY_CODE and ALERT_TYPE and get the latest Alert_Level value ordered by ALERT_DATETIME
I can get up to this, but I need the AlertID of the resulting records.
Any suggestions what would be an efficient way of getting this ?
I have created an SQL in SQL Server. See below
SELECT POLY_CODE, ALERT_TYPE, X.ALERT_LEVEL AS LAST_ALERT_LEVEL
FROM
(SELECT * FROM TableA where ALERT_DATETIME >= GETDATE() -1) T1
OUTER APPLY (SELECT TOP 1 [ALERT_LEVEL]
FROM (SELECT * FROM TableA where ALERT_DATETIME >= GETDATE() -1) T2
WHERE T2.POLY_CODE = T1.POLY_CODE AND
T2.ALERT_TYPE = T1.ALERT_TYPE ORDER BY T2.[ALERT_DATETIME] DESC) X
GROUP BY POLY_CODE, ALERT_TYPE, X.[ALERT_LEVEL]
POLY_CODE ALERT_TYPE ALERT_LEVEL
04575 Elec 2
04737 Gas 3
06239 Elec 2
06552 Elec 2
06578 Elec 2
10320 Elec 2
select top 1 with ties *
from TableA
where ALERT_DATETIME >= GETDATE() -1
order by row_number() over (partition by POLY_CODE,ALERT_TYPE order by [ALERT_DATETIME] DESC)
The way this works is that for each group of POLY_CODE,ALERT_TYPE get their own row_number() starting from the most recent alert_datetime. Then, the with ties clause ensures that all rows(= all groups) with the row_number value of 1 get returned.
One way of doing it is creating a cte with the grouping that calculates the latesdatetime for each and then crosses it with the table to get the results. Just keep in mind that if there are more than one record with the same combination of poly_code, alert_type, alert_level and datetime they will all show.
WITH list AS (
SELECT ta.poly_code,ta.alert_type,MAX(ta.alert_datetime) AS LatestDatetime,
ta.alert_level
FROM dbo.TableA AS ta
WHERE ta.alert_datetime >= DATEADD(DAY,-1,GETDATE())
GROUP BY ta.poly_code, ta.alert_type,ta.alert_level
)
SELECT ta.*
FROM list AS l
INNER JOIN dbo.TableA AS ta ON ta.alert_level = l.alert_level AND ta.alert_type = l.alert_type AND ta.poly_code = l.poly_code AND ta.alert_datetime = l.LatestDatetime
I'm working on a project to create a table that pull information from my local server and 2 online servers. The 2 online servers are both linked with my local server. I only have ability to read from the online servers and the data is to large for me to create a duplicate.
I built some code that would work on Management Studio, however when I place those code into SSRS, I got message that says one of my table already exists. I tried to put a drop table clause in front of that, but then I got message for the next table down the line already existed. And if I pull drop statement for every table, I got a error message for Timeout expired when refresh the fields.
SELECT s.SiteID, s.[StoreName], cf.CustomerID, , cf.AccountNumber, cf.AccountStatus,
cf.Store_ID, cf.InstitutionID, cf.TransactionTime, cf.Comment
INTO #Report_Table1
FROM dbo.View_GetCustomerInfo cf
LEFT JOIN dbo.Store_Table s ON cf.Store_ID = s.Store_ID
;
SELECT t.*, cl.SaleAmount
INTO #Report_Table2
FROM #Report_Table1 t
LEFT JOIN OnlineServe01.Views.dbo.SaleUpdate su
ON t.CustomerID = cl.CustomerID AND t.Store_ID = cl.Store_ID AND [Status] = 'A'
;
SELECT InstitutionID, Source_ID, BankName
INTO #Report_BankName
FROM OnlineServe01.Views.dbo.InstitutionInfo bn
WHERE InstitutionID IN (
SELECT InstitutionID FROM #Report_Table2)
;
SELECT df.*, bn.BankName
INTO #Report_Table3
FROM #Report_Table2 t
LEFT JOIN #Report_BankName bn ON df.InstitutionID = bn.InstitutionID AND df.Store_ID = bn.Store_ID
;
SELECT StoreName, SiteID, CustomerID, SaleAmount
, BankName, AccountNumber, AccountStatus, TransactionTime, Comment
INTO #Report_Table4
FROM #Report_Table3 t
;
SELECT *
INTO #Report_PlayerName
FROM (
SELECT DISTINCT CustomerID, FirstName, LastName,
Dense_Rank () OVER (Partition by CustomerID ORDER BY FirstName) AS Rnk
FROM OnlineServe02.CustomerManagement.dbo.CustomerName
WHERE PreferredName = 0
AND CustomerID IN (SELECT DISTINCT CustomerID FROM #Report_Table4)
) a
WHERE Rnk = 1
;
SELECT t.*, pn.LastName, pn.FirstName, ca.Deposited, ca.Used, ca.InTransit, ca.Available
FROM #Report_Table4 t
LEFT JOIN OnlineServe02.CustomerManagement.dbo.AccountActivity ca
ON t.CustomerID = ca.CustomerID AND t.SiteID = ca.SiteID
LEFT JOIN #Report_PlayerName pn ON t.CustomerID = pn.CustomerID
;
I'm trying to get some individual stats from a score keeping system. In essence, teams are scheduled into matches
Match
---------
Matchid (uniqueidentifier)
SessionId (int)
WeekNum (int)
Those matches are broken into sets, where two particular players from a team play each other
MatchSet
-----------
SetId (int)
Matchid (uniqueidentifier)
HomePlayer (int)
AwayPlayer (int)
WinningPlayer (int)
LosingPlayer (int)
WinningPoints (int)
LosingPoints (int)
MatchEndTime (datetime)
In order to allow for player absences, players are allowed to play twice per Match. The points from each set will count for their team totals, but for the individual awards, only the first time that a player plays should be counted.
I had been trying to make use of a CTE to number the rows
;WITH cte AS
(
SELECT *,
ROW_NUMBER() OVER (PARTITION BY MatchId ORDER BY MatchEndTime) AS rn
FROM
(SELECT
SetId, MS.MatchId, WinningPlayer, LosingPlayer,
HomePlayer, AwayPlayer, WinningPoints, LosingPoints, MatchEndTime
FROM
MatchSet MS
INNER JOIN
[Match] M ON M.MatchId = MS.MatchId AND M.[Session] = #SessionId
)
but I'm struggling as the player could be either the home player or away player in a given set (also, could either be the winner or the loser)
Ideally, this result could then be joined based on either WinningPlayer or LosingPlayer back to the players table, which would let me get a list of individual standings
I think the first step is to write a couple CTEs that get the data into a structure where you can evaluate player points regardless of win/loss. Here's a possible start:
;with PlayersPoints as
(
select m.MatchId
,m.SessionId
,m.WeekNum
,ms.SetId
,ms.WinningPlayer as PlayerId
,ms.WinningPoints as Points
,'W' as Outcome
,ms.MatchEndTime
from MatchSet ms
join Match m on on ms.MatchId = m.MatchId
and m.SessionId = #SessionId
union all
select m.MatchId
,m.SessionId
,m.WeekNum
,ms.SetId
,ms.LosingPlayer as PlayerId
,ms.LosingPoints as Points
,'L' as Outcome
,ms.MatchEndTime
from MatchSet ms
join Match m on on ms.MatchId = m.MatchId
and m.SessionId = #SessionId
)
, PlayerMatch as
(
select SetId
,WeekNum
,MatchId
,PlayerId
,row_number() over (partition by PlayerId, WeekNum order by MatchEndTime) as PlayerMatchSequence
from PlayerPoints
)
....
The first CTE pulls out the points for each player, and the second CTE identifies which match it is. So for calculating individual points, you'd look for PlayerMatchSequence = 1.
Perhaps you could virtualize a normalized view of your data and key off of it instead of the MatchSet table.
;WITH TeamPlayerMatch AS
(
SELECT TeamID,PlayerID=WinnningPlayer,MatchID,Points = MS.WinningPoints, IsWinner=1 FROM MatchSet MS INNER JOIN TeamPlayer T ON T.PlayerID=HomePlayer
UNION ALL
SELECT TeamID,PlayerID=LosingPlayer,MatchID,Points = MS.LosingPoints, IsWinner=0 FROM MatchSet MS INNER JOIN TeamPlayer T ON T.PlayerID=AwayPlayer
)
,cte AS
(
SELECT *,
ROW_NUMBER() OVER (PARTITION BY MatchId ORDER BY MatchEndTime) AS rn
FROM
(SELECT
SetId, MS.MatchId, PlayerID, TeamID, Points, MatchEndTime, IsWinner
FROM
TeamPlayerMatch MS
INNER JOIN
[Match] M ON M.MatchId = MS.MatchId AND M.[Session] = #SessionId
WHERE
IsWinner=1
)
First when I started this project seemed very simple. Two tables, field tbl1_USERMASTERID in Table 1 should be update from field tbl2_USERMASTERID Table 2. After I looked deeply in Table 2, there is no unique ID that I can use as a key to join these two tables. Only way to match the records from Table 1 and Table 2 is based on FIRST_NAME, LAST_NAME AND DOB. So I have to find records in Table 1 where:
tbl1_FIRST_NAME equals tbl2_FIRST_NAME
AND
tbl1_LAST_NAME equals tbl2_LAST_NAME
AND
tbl1_DOB equals tbl2_DOB
and then update USERMASTERID field. I was afraid that this can cause some duplicates and some users will end up with USERMASTERID that does not belong to them. So if I find more than one record based on first,last name and dob those records would not be updated. I would like just to skip and leave them blank. That way I wouldn't populate invalid USERMASTERID. I'm not sure what is the best way to approach this problem, should I use SQL or ColdFusion (my server side language)? Also how to detect more than one matching record?
Here is what I have so far:
UPDATE Table1 AS tbl1
LEFT OUTER JOIN Table2 AS tbl2
ON tbl1.dob = tbl2.dob
AND tbl1.fname = tbl2.fname
AND tbl1.lname = tbl2.lname
SET tbl1.usermasterid = tbl2.usermasterid
WHERE LTRIM(RTRIM(tbl1.usermasterid)) = ''
Here is query where I tried to detect duplicates:
SELECT DISTINCT
tbl1.FName,
tbl1.LName,
tbl1.dob,
COUNT(*) AS count
FROM Table1 AS tbl1
LEFT OUTER JOIN Table2 AS tbl2
ON tbl1.dob = tbl2.dob
AND tbl1.FName = tbl2.first
AND tbl1.LName = tbl2.last
WHERE LTRIM(RTRIM(tbl1.usermasterid)) = ''
AND LTRIM(RTRIM(tbl1.first)) <> ''
AND LTRIM(RTRIM(tbl1.last)) <> ''
AND LTRIM(RTRIM(tbl1.dob)) <> ''
GROUP BY tbl1.FName,tbl1.LName,tbl1.dob
Some data after I tested query above:
First Last DOB Count
John Cook 2008-07-11 2
Kate Witt 2013-06-05 1
Deb Ruis 2016-01-22 1
Mike Bennet 2007-01-15 1
Kristy Cruz 1997-10-20 1
Colin Jones 2011-10-13 1
Kevin Smith 2010-02-24 1
Corey Bruce 2008-04-11 1
Shawn Maiers 2016-08-28 1
Alenn Fitchner 1998-05-17 1
If anyone have idea how I can prevent/skip updating duplicate records or how to improve this query please let me know. Thank you.
You could check for and avoid duplicate matches using with common_table_expression (Transact-SQL)
along with row_number()., like so:
with cte as (
select
t.fname
, t.lname
, t.dob
, t.usermasterid
, NewUserMasterId = t2.usermasterid
, rn = row_number() over (partition by t.fname, t.lname, t.dob order by t2.usermasterid)
from table1 as t
inner join table2 as t2 on t.dob = t2.dob
and t.fname = t2.fname
and t.lname = t2.lname
and ltrim(rtrim(t.usermasterid)) = ''
)
--/* confirm these are the rows you want updated
select *
from cte as t
where t.NewUserMasterId != ''
and not exists (
select 1
from cte as i
where t.dob = i.dob
and t.fname = i.fname
and t.lname = i.lname
and i.rn>1
);
--*/
/* update those where only 1 usermasterid matches this record
update t
set t.usermasterid = t.NewUserMasterId
from cte as t
where t.NewUserMasterId != ''
and not exists (
select 1
from cte as i
where t.dob = i.dob
and t.fname = i.fname
and t.lname = i.lname
and i.rn>1
);
--*/
I use the cte to extract out the sub query for readability. Per the documentation, a common table expression (cte):
Specifies a temporary named result set, known as a common table expression (CTE). This is derived from a simple query and defined within the execution scope of a single SELECT, INSERT, UPDATE, or DELETE statement.
Using row_number() to assign a number for each row, starting at 1 for each partition of t.fname, t.lname, t.dob. Having those numbered allows us to check for the existence of duplicates with the not exists() clause with ... and i.rn>1
You could use a CTE to filter out the duplicates from Table1 before joining:
; with CTE as (select *
, count(ID) over (partition by LastName, FirstName, DoB) as IDs
from Table1)
update a
set a.ID = b.ID
from Table2 a
left join CTE b
on a.FirstName = b.FirstName
and a.LastName = b.LastName
and a.Dob = b.Dob
and b.IDs = 1
This will work provided there are no exact duplicates (same demographics and same ID) in table 1. If there are exact duplicates, they will also be excluded from the join, but you can filter them out before the CTE to avoid this.
Please try below SQL:
UPDATE Table1 AS tbl1
INNER JOIN Table2 AS tbl2
ON tbl1.dob = tbl2.dob
AND tbl1.fname = tbl2.fname
AND tbl1.lname = tbl2.lname
LEFT JOIN Table2 AS tbl3
ON tbl3.dob = tbl2.dob
AND tbl3.fname = tbl2.fname
AND tbl3.lname = tbl2.lname
AND tbl3.usermasterid <> tbl2.usermasterid
SET tbl1.usermasterid = tbl2.usermasterid
WHERE LTRIM(RTRIM(tbl1.usermasterid)) = ''
AND tbl3.usermasterid is null
I need a query to assign teams to a series of users. Data looks like this:
UserId Category Team
1 A null
2 A null
3 B null
4 B null
5 A null
6 B null
8 A null
9 B null
11 B null
Teams should be created by sorting by userid and the first userid becomes the team number and the consecutive A's are part of that team as are the B's that follow. The first A after the Bs starts a new team. There will always be at least one A and one B. So after the update, that data should look like this:
UserId Category Team
1 A 1
2 A 1
3 B 1
4 B 1
5 A 5
6 B 5
8 A 8
9 B 8
11 B 8
EDIT:
Need to add that the user id's will not always increment by 1. I edited the example data to show what I mean. Also, the team ID doesn't strictly have to be the id of the first user, as long as they end up grouped properly. For example, users 1 - 4 could all be on team '1', users 5 and 6 on team '2' and users 8,9 and 11 on team '3'
First you could label each row with an increasing number. Then you can use a left join to find the previous user. If the previous user has category 'B', and the current one category 'A', that means the start of a new team. The team number is then the last UserId that started a new team before the current UserId.
Using SQL Server 2008 syntax:
; with numbered as
(
select row_number() over (order by UserId) rn
, *
from Table1
)
, changes as
(
select cur.UserId
, case
when prev.Category = 'B' and cur.Category = 'A' then cur.UserId
when prev.Category is null then cur.UserId
end as Team
from numbered cur
left join
numbered prev
on cur.rn = prev.rn + 1
)
update t1
set Team = team.Team
from Table1 t1
outer apply
(
select top 1 c.Team
from changes c
where c.UserId <= t1.UserId
and c.Team is not null
order by
c.UserId desc
) as team;
Example at SQL Fiddle.
You can do this with a recursive CTE:
with userCTE as
(
select UserId
, Category
, Team = UserId
from users where UserId = 1
union all
select users.UserId
, users.Category
, Team = case when users.Category = 'A' and userCTE.Category = 'B' then users.UserId else userCTE.Team end
from userCTE
inner join users on users.UserId = userCTE.UserId + 1
)
update users
set Team = userCTE.Team
from users
inner join userCTE on users.UserId = userCTE.UserId
option (maxrecursion 0)
SQL Fiddle demo.
Edit:
You can update the CTE to get this to go:
with userOrder as
(
select *
, userRank = row_number() over (order by userId)
from users
)
, userCTE as
(
select UserId
, Category
, Team = UserId
, userRank
from userOrder where UserId = (select min(UserId) from users)
union all
select users.UserId
, users.Category
, Team = case when users.Category = 'A' and userCTE.Category = 'B' then users.UserId else userCTE.Team end
, users.userRank
from userCTE
inner join userOrder users on users.userRank = userCTE.userRank + 1
)
update users
set Team = userCTE.Team
from users
inner join userCTE on users.UserId = userCTE.UserId
option (maxrecursion 0)
SQL Fiddle demo.
Edit:
For larger datasets you'll need to add the maxrecursion query hint; I've edited the previous queries to show this. From Books Online:
Specifies the maximum number of recursions allowed for this query.
number is a nonnegative integer between 0 and 32767. When 0 is
specified, no limit is applied.
In this case I've set it to 0, i.e. not limit on recursion.
Query Hints.
I actually ended up going with the following. It finished on all 3 million+ rows in a half an hour.
declare #userid int
declare #team int
declare #category char(1)
declare #lastcategory char(1)
set #userid = 1
set #lastcategory='B'
set #team=0
while #userid is not null
begin
select #category = category from users where userid = #userid
if #category = 'A' and #lastcategory = 'B'
begin
set #team = #userid
end
update users set team = #team where userid = #userid
set #lastcategory = #category
select #userid = MIN(userid) from users where userid > #userid
End