Id Mshp_Id Action
1 9029 Register
2 9029 Create CV
3 8476 Register
4 8476 Create CV
5 8476 JOB SEARCH
I want to return the two membership ID's and their latest action.
so what would be left is ID 2 AND 5 ONLY.
If you are using SQL Server 2012+, you can use LAST_VALUE
SELECT ID,
,mshp_id
,action
FROM (
SELECT *,LAST_VALUE(id) OVER (PARTITION BY mshp_id
ORDER BY ID
ROWS BETWEEN UNBOUNDED PRECEDING
AND UNBOUNDED FOLLOWING
) last_val
FROM YOUR_TABLE
) a
WHERE id = last_val
ORDER BY ID
Check Demo here
Output
Last action per member can be fetched through the following ways
Solution 1:
select Id, Mshp_Id, Action from (
select *, row_number() over (partition by Mshp_Id order by id desc) r from user_action
) a
where a.r = 1
order by id
Solution 2
select u.* from user_action u
join (select Mshp_Id, max(id) id from user_action
group by Mshp_Id ) a
on a.Mshp_Id = u.Mshp_Id and a.id = u.id
order by u.id
Good luck with your work !
Related
I don't know exactly where I'm wrong, but I need a list of all the workers who are currently at work (for the current day), this is my sql query:
SELECT
zp.ID,
zp.USER_ID,
zp.Arrive,
zp.Deppart,
zp.DATUM
FROM time_recording as zp
INNER JOIN personal AS a on zp.USER_ID, = zp.USER_ID,
WHERE zp.Arrive IS NOT NULL
AND zp.Deppart IS NULL
AND zp.DATUM = convert(date, getdate())
ORDER BY zp.ID DESC
this is what the data looks like with my query:
For me the question is, how can I correct my query so that I only get the last Arrive time for the current day for each user?
In this case to get only these values:
Try this below script using ROW_NUMBER as below-
SELECT * FROM
(
SELECT zp.ID, zp.USER_ID, zp.Arrive, zp.Deppart, zp.DATUM,
ROW_NMBER() OVER(PARTITION BY zp.User_id ORDER BY zp.Arrive DESC) RN
FROM time_recording as zp
INNER JOIN personal AS a
on zp.USER_ID = zp.USER_ID
-- You need to adjust above join relation as both goes to same table
-- In addition, as you are selecting nothing from table personal, you can drop the total JOIN part
WHERE zp.Arrive IS NOT NULL
AND zp.Deppart IS NULL
AND zp.DATUM = convert(date, getdate())
)A
WHERE RN =1
you can try this:
SELECT DISTINCT
USER_ID,
LAR.LastArrive
FROM time_recording as tr
CROSS APPLY (
SELECT
MAX(Arrive) as LastArrive
FROM time_recording as ta
WHERE
tr.USER_ID = ta.USER_ID AND
ta.Arrive IS NOT NULL
) as LAR
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 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
)
I have two tables.
Repair -
RepairID, EquipID, RepairDate
Events -
EventID, EquipID, ReturnDate, CustomerID
I am trying to determine who the last customer was that returned the equipment, before the repair was done. Equipment could have been returned multiple times in the past, but I only need to track the very last customer that returned it.
Final result will include CustomerID, EquipID, ReturnDate, RepairDate
My SQLFiddle for a sample DDL and query:
http://sqlfiddle.com/#!3/f2691/6/0
This returns all the customers, not only the very last one that returned.
Does that return what you expect?
Option 1:
SELECT E.EquipID,
E.CustomerID,
max(E.ReturnDate) MAXRETURN
FROM Repair R
CROSS APPLY (
SELECT *,
row_number() OVER (
PARTITION BY EquipID ORDER BY ReturnDate DESC
) AS RN
FROM Event E
WHERE R.RepairDate > E.ReturnDate
AND E.EquipID = R.EquipID
) E
WHERE E.RN = 1
GROUP BY E.EquipID,
E.CustomerID
Option 2:
SELECT E.EquipID,
E.CustomerID,
max(E.ReturnDate) MAXRETURN
FROM (
SELECT E.*,
row_number() OVER (
PARTITION BY E.EquipID ORDER BY E.ReturnDate DESC
) AS RN
FROM Event E
INNER JOIN Repair R
ON E.EquipID = R.EquipID
WHERE R.RepairDate > E.ReturnDate
) E
WHERE E.RN = 1
GROUP BY E.EquipID,
E.CustomerID
I have a history table containing a snapshot of each time a record is changed. I'm trying to return a certain history row with the original captured date. I am currently using this at the moment:
select
s.Description,
h.CaptureDate OriginalCaptureDate
from
HistoryStock s
left join
( select
StockId,
CaptureDate
from
HistoryStock
where
HistoryStockId in ( select MIN(HistoryStockId) from HistoryStock group by StockId )
) h on s.StockId = h.StockId
where
s.HistoryStockId = #HistoryStockId
This works but with 1 Million records its on the slow side and I'm not sure how to optimize this query.
How can this query be optimized?
UPDATE:
WITH OriginalStock (StockId, HistoryStockId)
AS (
SELECT StockId, min(HistoryStockId)
from HistoryStock group by StockId
),
OriginalCaptureDate (StockId, OriginalCaptureDate)
As (
SELECT h.StockId, h.CaptureDate
from HistoryStock h join OriginalStock o on h.HistoryStockId = o.HistoryStockId
)
select
s.Description,
h.OriginalCaptureDate
from
HistoryStock s left join OriginalCaptureDate h on s.StockId = h.StockId
where
s.HistoryStockId = #HistoryStockId
I've update the code to use CTE but I'm not better off performance wise, only have small performance increase. Any ideas?
Just another note, I need to get to the first record in the history table for StockId and not the earliest Capture date.
I am not certain I understand entirely how the data works from your query but nesting queries like that is never good for performance in my opinion. You could try something along the lines of:
WITH MinCaptureDate (StockID, MinCaptureDate)
AS (
SELECT HS.StockID
,MIN(HS.CaptureDate) AS OriginalCaptureDate
FROM HistoryStock HS
GROUP BY
HS.Description
)
SELECT HS.Description
,MCD.OriginalCaptureDate
FROM HistoryStock HS
JOIN MinCaptureDate MCD
ON HS.StockID = MCD.StockID
WHERE HS.StockID = #StockID
I think i see what you are trying to achieve. You basically want the description of the specified history stock record, but you want the date associated with the first history record for the stock... so if your history table looks like this
StockId HistoryStockId CaptureDate Description
1 1 Apr 1 Desc 1
1 2 Apr 2 Desc 2
1 3 Apr 3 Desc 3
and you specify #HistoryStockId = 2, you want the following result
Description OriginalCaptureDate
Desc 2 Apr 1
I think the following query would give you a slightly better performance.
WITH OriginalStock (StockId, CaptureDate, RowNumber)
AS (
SELECT
StockId,
CaptureDate,
RowNumber = ROW_NUMBER() OVER (PARTITION BY StockId ORDER BY HistoryStockId ASC)
from HistoryStock
)
select
s.Description,
h.CaptureDate
from
HistoryStock s left join OriginalStock h on s.StockId = h.StockId and h.RowNumber = 1
where
s.HistoryStockId = #HistoryStockId