I want to select records from SQL server table 'employeelogdetails' which has field 'logintime' (which registers time in GMT when employee swipes the access card while entering or leaving office) which is datetime datetype. Now I want to select records say from yesterday 17 October 2012, 14:00 GMT
SELECT * FROM EMPLOYEELOGDETAILS WHERE LOGINTIME > ' ..........' LOGINTIME DESC
Don't know how to go forward guys, have been trying this for a while
Help me out
The following query will give you records from the 17th after 14:00 for the rest of the day. I'm not certain what time window you are looking for though, so this may need slight adjustment.
SELECT *
FROM EmployeeLogDetails AS eld
WHERE eld.LoginTime > '2012-10-17 14:00:00'
AND eld.LoginTime < '2012-10-18'
ORDER BY eld.LoginTime DESC;
Use this query:
select * from EmployeeLogDetails where LoginTime between '17/10/2012' and Now();
This can also work this way:
SELECT * FROM EmployeeLogDetails
WHERE LoginTime BETWEEN ('20121017 9:00:00.000' AND '20121018 3:37:00.000')
ORDER BY LoginTime DESC;
Thank you all for the responses
SELECT * FROM EMPLOYEELOGDETAILS WHERE
LOGINTIME > CONVERT(DateTime,'2012/10/17 14:00:00') ORDER BY LOGINTIME DESC
Related
I want to query data that happened between 6:15 and 7:15, 7:15:01 and 8:15 and so forth. So far I am only able to do the following:
Select *
From table
Where datepart(hh, t_stamp) = 7
and datepart(day, t_stamp) = day(getdate())
I am selecting all data that happens between 7:00 and 7:59:59....
I tried googling it. Found something using unix_timestamp, but that does not work in Microsoft SQL Server. I've been wrecking my brain but as a SQL noob (I am used to "ladder logic" in PLC programming) this is way out of my comfort zone.
If you are looking for fetching the data between a specific time, let's say 06:15 to 07:15 for any date, then convert the datetime to time and use it in the where clause.
Query
select * from your_table_name
where cast(t_stamp as time) between '06:15:00' and '07:15:00';
If you need it only for today's date, then add that condition too in the Where clause.
select * from your_table_name
where cast(t_stamp as time) between '06:15:00' and '07:15:00'
and cast(t_stamp as date) = cast(getdate() as date);
I have a Database table that has all the information I need arranged like so:
Inventory_ID | Dealer_ID | LastModifiedDate
Each Dealer_ID is attached to multiple Inventory_ID's. What I need is a query that calculates the Max Value LastModifiedDate for each dealer ID and then gives me a list of all the Dealer_ID's that have a last modified date beyond the last 30 days.
Getting The max last modified date for each Dealer_ID is simple, of course:
Select Dealer_ID, Max(LastModifiedDate)as MostRecentUpdate
from Inventory group by Dealer_ID order by MAX(LastModifiedDate)
The condition for records older than 30 day is also fairly simple:
LastModifiedDate < getdate() - 30
Somehow, I just can't figure out a way to combine the two that works properly.
Use HAVING:
Select Dealer_ID, Max(LastModifiedDate)as MostRecentUpdate
from Inventory
group by Dealer_ID
having LastModifiedDate < getdate() - 30
order by MAX(LastModifiedDate)
Check this query:
Select DT.DealerID, DT.MostRecentUpdate
(Select DealerID, Max(LastModifiedDate)as MostRecentUpdate
From YourTable
Group BY DealerID) DT
where DT.MostRecentUpdate < GETDATE() - 30
I have a table Clients.
Every client has da_reg (date registered in our system). I need to make a report:
By months - total number of clients (count(distinct customernumber)); and new customers by da_reg date (I can do this per month like insert all clients from past month into temp table and then compare WHERE da_reg < 'date' and customerid not in (select customerid from #temp) - however it takes a lot of time to every time compare).
How to make it easiest way? In 1-2 steps?
Please help!
Thanks in advance!
please try this
select count(*) as new_count,
month(da_reg) as month,year(da_reg) as year
(select count(*) from tbl a where tbl.da_reg>=a.da_reg) as total_cus
from tbl
group by month(da_reg),year(da_reg)
You can Select DAtE_TIME column by month and then calc an number of row :Example for August
SELECT *,count(a.id)
FROM TABLE A as a
WHERE DATEPART(month, MY_DATETIME) = 8
where a.id PK of A
I need to display running server status, in an asp.net grid view using c#, for the last 24 hours in 5 minute increments. The data is in SQL Server records of the form: HostName, RecordDate, RecordTime, Status. I need to transform the data into tabular format to load a grid view control. Transform to something like: HostName, Date, 00:00 status, 00:05 status, ..., 23:55 status. One of the problems, of course, is the user can access the web page at any time. The column names must be the 5 minute increment time, as 15.30, 15.35, etc. They'll always be the same, as 24 hours will be displayed, but will be in a different order, and potentially cross dates, depending upon when the user logs into the web site. I hope I've explained this well enough. All options are on the table: linq, linq to sql, linq to xml, etc.
Thanks for any help.
I will offer a T-SQL solution. You need a date table that holds the 5-minute intervals for the day in question. Left join that with your AccessLog (or whatever it's called) table where the access time is within each time range, and do whatever aggregations you want. This will give you the vertical list. Then you need to PIVOT that to make your TimeRanges into columns (search for SQL server PIVOT operator).
Below is the rough SQL. After that, you just need to wrap the results into a pivot.
declare #myDate SMALLDATETIME = '20130415';
;with TimeRanges as (
SELECT TOP 288 DateAdd(minute, (Row_Number() over (order by sc1.Name) -1) * 5 , #myDate) TimeRangeMin
, DateAdd(minute, Row_Number() over (order by sc1.Name) * 5 , #myDate) TimeRangeMax
FROM Master.dbo.SysColumns sc1, Master.dbo.SysColumns sc2
)
select convert(varchar(5), TimeRangeMin, 114) AS TimeRange, COUNT(*)
from TimeRanges t
LEFT JOIN AccessLog a on a.AccessTime >= t.TimeRangeMin and a.AccessTime < t.TimeRangeMax
GROUP BY convert(varchar(5), TimeRangeMin, 114);
I've been asked to look at a database that records user login and logout activity - there's a column for login time and then another column to record logout, both in OLE format. I need to pull together some information about user concurrency - i.e. how many users were logged in at the same time each day.
Do anyone know how to do this in SQL? I don't really need to know the detail, just the count per day.
Thanks in advance.
Easiest way is to make a times_table from an auxiliary numbers table (by adding from 0 to 24 * 60 minutes to the base time) to get every time in a certain 24-hour period:
SELECT MAX(simul) FROM (
SELECT test_time
,COUNT(*) AS simul
FROM your_login_table
INNER JOIN times_table -- a table/view/subquery of all times during the day
ON your_login_table.login_time <= times_table.test_time AND times_table.test_time <= your_login_table.logout_time
GROUP BY test_time
) AS simul_users (test_time, simul)
I think this will work.
Select C.Day, Max(C.Concurrency) as MostConcurrentUsersByDay
FROM
(
SELECT convert(varchar(10),L1.StartTime,101) as day, count(*) as Concurrency
FROM login_table L1
INNER JOIN login_table L2
ON (L2.StartTime>=L1.StartTime AND L2.StartTime<=L1.EndTime) OR
(L2.EndTime>=L1.StartTime AND L2.EndTime<=L1.EndTime)
WHERE (L1.EndTime is not null) and L2.EndTime Is not null) AND (L1.ID<>L2.ID)
GROUP BY convert(varchar(10),L1.StartTime,101)
) as C
Group BY C.Day
Unchecked... but lose date values, count time between, use "end of day" for still logged in.
This assumes "logintime" is a date and a time. If not, the derived table can be removed (Still need ISNULL though). of course, SQL Server 2008 has "time" to make this easier too.
SELECT
COUNT(*)
FROM
(
SELECT
DATEADD(day, DATEDIFF(day, logintime, 0), logintime) AS inTimeOnly,
ISNULL(DATEADD(day, DATEDIFF(day, logouttime, 0), logintime), '1900-01-01 23:59:59.997') AS outTimeOnly
FROM
mytable
) foo
WHERE
inTimeOnly >= #TheTimeOnly AND outTimeOnly <= #TheTimeOnly