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
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
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 !
I keep receiving the error
Msg 8156, Level 16, State 1, Line 5
The column 'Id' was specified multiple times for 'sv2017'.
Msg 8156, Level 16, State 1, Line 7
The column 'Id' was specified multiple times for 'sv2010'.
with the following script:
select
sv2017.id, sv2017.TotalArea, sv2017.uarn,
sv2010.id, sv2010.PlantMachineryValue, sv2017.PlantMachineryValue,
sv2010.uarn, sv2017.BAReferenceNumber
from
(select *
from summaryvaluation sv
join SummaryValuationPlant svp on sv.id = svp.SummaryValuationId
where sv.yearid = 2
and sv.id in (select id /*Get the most recent valuation for the list year*/
from
(select
id, uarn,
rank() over (partition by uarn order by fromdate desc) as RankOrder
from
summaryvaluation
where
yearid = 2 and systemactive = 1) tbl
where
rankorder = 1)) sv2017
left outer join
(select *
from summaryvaluation sv2
join SummaryValuationPlant svp2 on sv2.id = svp2.SummaryValuationId
where sv2.yearid = 1
and sv2.id in (select id /*Get the most recent valuation for the list year*/
from
(select
id, uarn,
rank() over (partition by uarn order by fromdate desc) as RankOrder
from
summaryvaluation
where
yearid = 1 and systemactive = 1) tbl
where
rankorder = 1)) sv2010 on sv2017.uarn = sv2010.uarn
where
isnull (sv2017.PlantMachineryValue, 0) > isnull(sv2010.PlantMachineryValue, 0)
and I can not see where I am going wrong! It is probably obvious and my brain is just not functioning but any help is appreciated.
Thanks
Your problem is probably here:
select *
from summaryvaluation sv
join SummaryValuationPlant svp
That code appears in 2 different places (with different aliases). Regardless, I suspect both tables have an id column, so when you use this in a derived table, SQL doesn't know if you are referring to the one from the sv table or the svp table.
To correct this problem, remove the * and list just those columns you will be using elsewhere in the larger query.
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 have a logging table in my application that only logs changed data, and leaves the other columns NULL. What I'm wanting to do now is create a view that takes 2 of those columns (Type and Status),
and create a resultset that returns the Type and Status on the entry of that log row, assuming that either one or both columns could be null.
For example, with this data:
Type Status AddDt
A 1 7/8/2013
NULL 2 7/7/2013
NULL 3 7/6/2013
NULL NULL 7/5/2013
B NULL 7/4/2013
C NULL 7/3/2013
C 4 7/2/2013
produce the resultset:
Type Status AddDt
A 1 7/8/2013
A 2 7/7/2013
A 3 7/6/2013
A 3 7/5/2013
B 3 7/4/2013
C 3 7/3/2013
C 4 7/2/2013
From there I'm going to figure out the first time in these results the Type and Status meet certain conditions, such as a Type of B and Status 3 (7/4/2013) and ultimately use that date in a calculation, so performance is a huge issue with this.
Here's what I was thinking so far, but it doesn't get me where I need to be:
SELECT
Type.TypeDesc
, Status.StatusDesc
, *
FROM
jw50_Item c
OUTER APPLY (SELECT TOP 10000 * FROM jw50_ItemLog csh WHERE csh.ItemID = c.ItemID AND csh.StatusCode = 'OPN' ORDER BY csh.AddDt DESC) [Status]
OUTER APPLY (SELECT TOP 10000 * FROM jw50_ItemLog cth WHERE cth.ItemID = c.ItemID AND cth.ItemTypeCode IN ('F','FG','NG','PF','SXA','AB') ORDER BY cth.AddDt DESC) Type
WHERE
c.ItemID = #ItemID
So with the help provided below, I was able to get where I needed. Here is my final solution:
SELECT
OrderID
, CustomerNum
, OrderTitle
, ItemTypeDesc
, ItemTypeCode
, StatusCode
, OrdertatusDesc
FROM
jw50_Order c1
OUTER APPLY (SELECT TOP 1 [DateTime] FROM
(SELECT c.ItemTypeCode, c.OrderStatusCode, c.OrderStatusDt as [DateTime] FROM jw50_Order c WHERE c.OrderID = c1.OrderID
UNION
select (select top 1 c2.ItemTypeCode
from jw50_OrderLog c2
where c2.UpdatedDt >= c.UpdatedDt and c2.ItemTypeCode is not null and c2.OrderID = c.OrderID
order by UpdatedDt DESC
) as type,
(select top 1 c2.StatusCode
from jw50_OrderLog c2
where c2.UpdatedDt >= c.UpdatedDt and c2.StatusCode is not null and c2.OrderID = c.OrderID
order by UpdatedDt DESC
) as status,
UpdatedDt as [DateTime]
from jw50_OrderLog c
where c.OrderID = c1.OrderID AND (c.StatusCode IS NOT NULL OR c.ItemTypeCode IS NOT NULL)
) t
WHERE t.ItemTypeCode IN ('F','FG','NG','PF','SXA','AB') AND t.StatusCode IN ('OPEN')
order by [DateTime]) quart
WHERE quart.DateTime <= #FiscalPeriod2 AND c1.StatusCode = 'OPEN'
Order By c1.OrderID
The union is to bring in the current data in addition to the log table data to create the resultset, since the current data maybe what meets the conditions required. Thanks again for the help guys.
Here is an approach that uses correlated subqueries:
select (select top 1 c2.type
from jw50_Item c2
where c2.AddDt >= c.AddDt and c2.type is not null
order by AddDt
) as type,
(select top 1 c2.status
from jw50_Item c2
where c2.AddDt >= c.AddDt and c2.status is not null
order by AddDt
) as status,
(select AddDt
from jw50_Item c
If you have indexes on jw50_item(AddDt, type) and jw50_item(AddDt, status), then the performance should be pretty good.
I suppose you want to "generate a history": for those dates that has some data missing, the next available data should be set.
Something similar should work:
Select i.AddDt, t.Type, s.Status
from Items i
join Items t on (t.addDt =
(select min(t1.addDt)
from Items t1
where t1.addDt >= i.addDt
and t1.Type is not null))
join Items s on (s.addDt =
(select min(s1.addDt)
from Items s1
where s1.addDt >= i.addDt
and s1.status is not null))
Actually I'm joining the base table to 2 secondary tables and the join condition is that we match the smallest row where the respective column in the secondary table is not null (and of course smaller than the current date).
I'm not absolutely sure that it will work, since I don't have an SQL Server in front of me but give it a try :)