I have 2 tables:
ConnectionID (CID)
AuditLog (AL)
I would like to perform a delete statement to all rows in the CID table where CID.UserID = AL.UserID, if CID.UserID does not have a AL.RecordDate within the last 15 minutes.
What I've tried without success...
declare #15min datetime
set #15min = dateadd(minute,-15,getdate())
Delete ConnectionID CID
inner join AuditLog as AL on CID.UserID = AL.UserID
Where AL.RecordDate < #15Min AND AL.UserID in CID.UserID
I am not an expert writing SQL statements so any advise would be greatly appreciated. Thanks!
So, you want to not delete any connection where it does have activity within the last 15 minutes? (as opposed to your attempt in your question which is closer to "delete any connection which had any activity more than 15 minutes ago").
Should be something like:
WITH RecentActivity as (
SELECT DISTINCT UserID FROM AuditLog
WHERE RecordDate >= DATEADD(minute,-15,GETDATE())
)
DELETE FROM CID
FROM ConnectionID CID
LEFT JOIN
RecentActivity RA
on
CID.UserID= RA.UserID
WHERE
RA.UserID is NULL
you can use NOT EXISTS like this.
declare #min15 datetime
set #min15 = dateadd(minute,-15,getdate())
Delete CID FROM ConnectionID CID
WHERE NOT EXISTS
(
SELECT TOP 1 1 FROM AuditLog as AL
WHERE AL.UserID = CID.UserID
AND AL.RecordDate > #Min15
)
Related
Not sure if this is possible without some sort of Dynamic SQL or a Pivot (which I want to stay away from)... I have a report that displays total counts for various types/ various status combinations... These types and statuses are always going to be the same and present on the report, so returning no data for a specific combination yields a zero. As of right now there are only three caseTypes (Vegetation, BOA, and Zoning) and 8 statusTypes (see below).
I am first setting up the skeleton of the report using a temp table. I have been careful to name the temp table columns the same as what the "statusType" column will contain in my second table "#ReportData". Is there a way to update the different columns in "#FormattedData" based on the value of the "statusType" column in my second table?
Creation of Formatted Table (for report):
CREATE TABLE #FormattedReport (
caseType VARCHAR(50)
, underInvestigation INT NOT NULL DEFAULT 0
, closed INT NOT NULL DEFAULT 0
, closedDPW INT NOT NULL DEFAULT 0
, unsubtantiated INT NOT NULL DEFAULT 0
, currentlyMonitored INT NOT NULL DEFAULT 0
, judicialProceedings INT NOT NULL DEFAULT 0
, pendingCourtAction INT NOT NULL DEFAULT 0
, other INT NOT NULL DEFAULT 0
)
INSERT INTO #FormattedReport (caseType) VALUES ('Vegetation')
INSERT INTO #FormattedReport (caseType) VALUES ('BOA')
INSERT INTO #FormattedReport (caseType) VALUES ('Zoning')
Creation of Data Table (to populate #FormattedReport):
SELECT B.Name AS caseType, C.Name AS StatusType, COUNT(*) AS Amount
INTO #ReportData
FROM table1 A
INNER JOIN table2 B ...
INNER JOIN table3 C ...
WHERE ...
GROUP BY B.Name, C.Name
CURRENT Update Statement (Currently will be 1 update per column in #FormattedReport):
UPDATE A SET underInvestigation = Amount FROM #ReportData B
INNER JOIN #FormattedReport A ON B.CaseType LIKE CONCAT('%', A.caseType, '%')
WHERE B.StatusType = 'Under Investigation'
UPDATE A SET closed = Amount FROM #ReportData B
INNER JOIN #FormattedReport A ON B.CaseType LIKE CONCAT('%', A.caseType, '%')
WHERE B.StatusType = 'Closed'
...
REQUESTED Update Statement: Would like to have ONE update statement knowing which column to update when "#ReportData.statusType" is the same as a "#FormattedData" column's name. For my "other" column, I'll just do that one manually using a NOT IN.
Assuming I understand the question, I think you can use conditional aggregation for this:
;WITH CTE AS
(
SELECT CaseType
,SUM(CASE WHEN StatusType = 'Under Investigation' THEN Amount ELSE 0 END) As underInvestigation
,SUM(CASE WHEN StatusType = 'Closed' THEN Amount ELSE 0 END) As closed
-- ... More of the same
FROM #ReportData
GROUP BY CaseType
)
UPDATE A
SET underInvestigation = B.underInvestigation
,closed = b.closed
-- more of the same
FROM #FormattedReport A
INNER JOIN CTE B
ON B.CaseType LIKE CONCAT('%', A.caseType, '%')
I'm using MS-SQL 2012
WITH C1
(
SELECT ID, 0 as Match, Field2, Count(*)
FROM TableX
GROUP BY ID, Fields2
)
UPDATE C1 SET Match = 1
WHERE ID = (SELECT MATCHING_ID FROM AnotherTable WHERE ID = C1.ID)
This TSQL statement gives me the following error:
Update or insert of view or function 'C1' failed because it contains a derived or constant field.
Ideally I would like to create a "fake field" named Match and set its default value to 0. Then with the update I would like to Update ONLY the records that have an existing entry on the "AnotherTable".
Any thoughts what am I doing wrong?
Thanks in advanced.
Try doing a Left Outer Join like
SELECT x.ID, ISNULL(a.Matching_ID, 0) as Match, x.Field2, Count(*)
FROM TableX x
LEFT OUTER JOIN AnotherTable a on x.ID = a.ID
GROUP BY x.ID, ISNULL(a.Matching_ID, 0), x.Fields2
without the need of a C1
If I am understanding correctly, the problem is that you are trying to update the CTE table. If you update the table directly you should be fine.
Does this modified version help?
SELECT t.ID
, CASE WHEN (EXISTS (SELECT MATCHING_ID FROM AnotherTable WHERE ID = t.ID)) THEN 1 ELSE 0 END
,t.Field2
,Count(*)
FROM TableX t
GROUP BY ID, Fields2
I have a table that holds 3 fields of data: Acct#, YMCode, and EmployeeID. The YMCode is an Int that is formatted 201308, 201307, etc. For each Acct#, I need to select the EmployeedID used for the YMCode 201308 and then update all of the other YMCodes for the Acct# to the EmployeedID used in 201308.
so for each customer account in the table...
Update MyTable
Set EmployeeID = EmployeeID used in YMCode 201308
Having a hard time with it.
Put it in a transaction and look at the results before committing, but I think this is what you want:
UPDATE b
SET EmployeeID = a.EmployeeID
FROM MyTable a
INNER JOIN MyTable b
ON a.[Acct#] = b.[Acct#]
where a.YMCode =
(SELECT MAX(YMCode) from MyTable)
To get max YMCode, just add select statement at the end.
I am really out of ideas of how to solve this issue and need some assistance - not only solution but idea of how to approach will be welcomed.
I have the following table:
TABLE Data
(
RecordID
,DateAdd
,Status
)
with sample date like this:
11 2012-10-01 OK
11 2012-10-04 NO
11 2012-11-05 NO
22 2012-10-01 OK
33 2012-11-01 NO
33 2012-11-15 OK
And this table with the following example data:
TABLE Periods
(
PeriodID
,PeriodName
,DateStart
,DateEnd
)
1 Octomer 2012-10-01 2012-10-31
2 November 2012-11-01 2012-11-30
What I need to do, is to populate a new table:
TABLE DataPerPeriods
(
PeriodID,
RecordID,
Status
)
That will store all possible combinations of PeriodID and RecordID and the latest status for period if available. If status is not available for give period, then the status for previous periods. If there are no previous status at all - then NULL for status.
For example with the following data I need something like this:
1 11 NO //We have status "OK" and "NO", but "NO" is latest for the period
1 22 OK
1 33 NULL//Because there are no records for this and previous periods
2 11 NO //We get the previos status as there are no records in this periods
2 22 OK //There are not records for this period, but record for last periods is available
2 33 NO //We have status "OK" and "NO", but "OK" is latest for the period
EDIT: I have already populate the period ids and the records ids in the last table, I need more help on the status update.
There might be a better way to do this. But this is the most straight-forward path I know to get what you're looking for, unconventional as it appears. For larger datasets you may have to change your approach:
SELECT p.PeriodID, td.RecordID, statusData.[Status] FROM Periods p
CROSS JOIN (SELECT DISTINCT RecordID FROM Data) td
OUTER APPLY (SELECT TOP 1 [Status], [DateAdd]
FROM Data
WHERE [DateAdd] <= p.DateEnd
AND [RecordID] = td.RecordID
ORDER BY [DateAdd] DESC) statusData
ORDER BY p.PeriodID, td.RecordID
The CROSS JOIN is what gives you every possible combination of RecordIDs and DISTINCT Periods.
The OUTER APPLY selects the latest Status before then end of each Period.
Check out my answer on another question to know how to grab the first or last status : Aggregate SQL Function to grab only the first from each group
OK, here's an idea. Nobody likes cursors, including me, but sometimes for things like this they do come in handy.
The idea is that this cursor loops through each of the Data records, pulling out the ID as an identifier. Inside the loop it finds a single data record and gets the count of a join that meets your criteria.
If the #count = 0, the condition is not met and you should not insert a record for that period.
If the #Count=1, the condition is met so insert a record for the period.
If these conditions need to be updated frequently, you can your query to a job and run it every minute or hour ... what have you.
Hope this helps.
DECLARE #ID int
DECLARE merge_cursor CURSOR FAST_FORWARD FOR
select recordID
from data
OPEN merge_cursor
FETCH NEXT FROM merge_cursor INTO #ID
WHILE ##FETCH_STATUS = 0
BEGIN
--get join if record is found in the periods
declare #Count int
select #Count= count(*)
from data a inner join periods b
on a.[dateadd] between b.datestart and b.dateend
where a.recordID = #ID
if #count>0
--insert into DataPerPeriods(PeriodID, RecordID, Status)
select b.periodid, a.recordid, a.status
from data a inner join periods b on a.[dateadd] between b.datestart and b.dateend --between beginning of month and end of month
where a.recordid = #ID
else
--insert into DataPerPeriods(PeriodID, RecordID, Status)
select b.periodid, a.recordid, a.status
from data a inner join periods b on a.[dateadd] < b.dateend
where a.recordID = #ID --fix this area
FETCH NEXT FROM merge_cursor INTO #ID
END
CLOSE merge_cursor
DEALLOCATE merge_cursor
I have a table ProductNumberDuplicates_backups, which has two columns named ProductID and ProductNumber. There are some duplicate ProductNumbers. How can I count the distinct number of products, then print out the outcome like "() products was backup." ? Because this is inside a stored procedure, I have to use a variable #numrecord as the distinct number of rows. I put my codes like this:
set #numrecord= select distinct ProductNumber
from ProductNumberDuplicates_backups where COUNT(*) > 1
group by ProductID
having Count(ProductNumber)>1
Print cast(#numrecord as varchar)+' product(s) were backed up.'
obviously the error was after the = sign as the select can not follow it. I've search for similar cases but they are just select statements. Please help. Many thanks!
Try
select #numrecord= count(distinct ProductNumber)
from ProductNumberDuplicates_backups
Print cast(#numrecord as varchar)+' product(s) were backed up.'
begin tran
create table ProductNumberDuplicates_backups (
ProductNumber int
)
insert ProductNumberDuplicates_backups(ProductNumber)
select 1
union all
select 2
union all
select 1
union all
select 3
union all
select 2
select * from ProductNumberDuplicates_backups
declare #numRecord int
select #numRecord = count(ProductNumber) from
(select ProductNumber, ROW_NUMBER()
over (partition by ProductNumber order by ProductNumber) RowNumber
from ProductNumberDuplicates_backups) p
where p.RowNumber > 1
print cast(#numRecord as varchar) + ' product(s) were backed up.'
rollback