SELECT
[dbo].[Mission].[MissionId]
FROM
[dbo].[Mission]
LEFT OUTER JOIN
[dbo].[Report] ON [dbo].[Mission].[MissionId] = [dbo].[Report].[MissionId]
WHERE
[dbo].[Report].ReportDate IS NULL
ORDER BY
[dbo].[Mission].[MissionId]
How can I change the above query such that it gives me all MissionId's from table [dbo].[Mission] that do not have a row in table [dbo].[Report] where [dbo].[Report].ReportDate is today?
MissionId is the primary key in table Mission and a foreign key in table Report. So I want to get all missions that do not have a row in table Report for the current date.
I've introduced some aliases to make the query easier to read, and added the needed condition. I've also changed the WHERE clause, not sure if that's required:
SELECT m.[MissionId]
FROM [dbo].[Mission] m LEFT OUTER JOIN [dbo].[Report] r
ON m.[MissionId] = r.[MissionId]
AND r.ReportDate = DATEADD(day,DATEDIFF(day,0,GETDATE()),0)
WHERE r.MissionId IS NULL
ORDER BY m.[MissionId]
This assumes that ReportDate contains dates with the time portions set to midnight. If that's not so, then a slightly more complex query is required:
SELECT m.[MissionId]
FROM [dbo].[Mission] m
WHERE NOT EXISTS(select * from dbo.Report r
where r.MissionID = m.MissionID and
r.ReportDate >= DATEADD(day,DATEDIFF(day,0,GETDATE()),0) and
r.ReportDate < DATEADD(day,DATEDIFF(day,0,GETDATE()),1)
)
ORDER BY m.[MissionId]
GETDATE() returns the current date and time. I'm using a couple of tricks with DATEADD and DATEDIFF to take that value and turn it into the current date at midnight, and (in the second query) tomorrow's date at midnight.
Second query as a fully runnable query:
declare #mission table (MissionID int not null);
insert into #mission (MissionID) select 1 union all select 2;
declare #report table (MissionID int not null,ReportDate datetime not null);
insert into #report (MissionID,ReportDate)
select 2,GETDATE() union all select 1,DATEADD(day,-1,GETDATE());
SELECT m.[MissionId]
FROM #mission m
WHERE NOT EXISTS(select * from #report r
where r.MissionID = m.MissionID and
r.ReportDate >= DATEADD(day,DATEDIFF(day,0,GETDATE()),0) and
r.ReportDate < DATEADD(day,DATEDIFF(day,0,GETDATE()),1)
)
ORDER BY m.[MissionId]
Result:
MissionId
-----------
1
select
m.MissionId
from Mission m
left join Report r
on m.MissionId = r.MissionId
and day(r.ReportDate) = day(getdate())
and month(r.ReportDate) = month(getdate())
and year(r.ReportDate) = year(getdate())
WHERE r.ReportDate is null
ORDER BY m.MissionId
Related
I have following table Structure: (this is just a sample set with exact same columns in my final output query)
Actual data has a much higher number of rows in index and I have to remove few symbols before arriving to the index value. This is a custom index to be built for internal use.
https://dbfiddle.uk/?rdbms=sqlserver_2016&fiddle=b1d5ed7db79c665d8cc179ae4cc7d4f1
This is link to the fiddle for SQL data
below is the image of the same:
I want to calculate point contribution to the index value and finally the index value.
To calculate pts contribution by each symbol the formula is :
ptsC = yesterday_index * wt * px_change / yest_close
I do not have beginning value of yesterday Index .i.e for 17 Nov 2021 and should be considered as 1000
The Index Value of 18 Nov will then be 1000 + sum(ptsC)
This value should now be used to calculate ptsC for each symbol for 22-Nov and so on...
I am trying to write a recursive CTE but am not sure where I am going wrong.
Yesterday Index value should be recursively determined and thus the ptsC should be calculated.
The final output should be:
where total Point Contribution is sum of all the ptsC for the day and New index Value is yesterday Index Value + Total Point Contribution.
Below is the code I have which generates the first table:
declare #beginval as float=17671.65
set #beginval=1000
declare #indexname varchar(20)='NIFTY ENERGY'
declare #mindt as datetime
select #mindt=min(datetime) from indices_json where indexname=#indexname
;
with tbl as (
SELECT IndexName, datetime, sum(Indexmcap_today) totalMcap_today,sum(Indexmcap_yst) totalmcap_yst
FROM indices_json
WHERE IndexName = #indexname
group by indexname,datetime
)
,tbl2 as
(
select j.indexname,j.datetime,symbol,Indexmcap_today/d.totalMcap_today*100 calc_wt_today,Indexmcap_yst/d.totalmcap_yst*100 calc_wt_yest,iislPtsChange,adjustedClosePrice,pointchange
from indices_json j inner join tbl d on d.datetime=j.datetime and d.IndexName=j.IndexName
)
,tbl3 as
(
select indexname,datetime,symbol,calc_wt_today,calc_wt_yest,iislPtsChange,adjustedClosePrice,pointchange
,case when datetime=#mindt then #beginval*calc_wt_yest*iislPtsChange/adjustedClosePrice/100 else null end ptsC
from tbl2
)
,tbl4 as
(
select indexname,datetime,sum(ptsC) + #beginval NewIndexVal,sum(pointchange) PTSCC
from tbl3
group by indexname,datetime
)
,tbl5 as
(
select *,lag(datetime,1,null) over(order by datetime asc) yest_dt
from tbl4
)
,
tbl6 as
(
select d.*,s.yest_dt
from tbl2 d inner join tbl5 s on d.datetime=s.datetime
)
,tbl7 as
(
select d.IndexName,d.datetime,d.symbol,d.calc_wt_today,d.calc_wt_yest,d.iislPtsChange,d.adjustedClosePrice,d.pointchange,case when i.datetime is null then #beginval else i.NewIndexVal end yest_index
from tbl6 d left join tbl4 i on d.yest_dt=i.datetime
)
select IndexName,convert(varchar(12),datetime,106)date,symbol,round(calc_wt_yest,4) wt,iislPtsChange px_change,adjustedClosePrice yest_close--,pointchange,yest_index
from tbl7 d where datetime <='2021-11-24'
order by datetime
Thanks in advance.
I found a solution for this:
I calculated the returns for each constituent for each date
then summed up these returns for a date
then multiplied all the sum of the returns of all dates to arrive at the final value - this works
below is the query for the same. I did not require recursion here
declare #beginval as float=17671.65
declare #indexname varchar(20)='NIFTY 50'
declare #mindt as datetime
select #mindt=min(datetime) from indices_json where indexname=#indexname
declare #startdt as datetime = '2021-11-01'
;
with tbl as (
SELECT IndexName, datetime, sum(Indexmcap_today) totalMcap_today,sum(Indexmcap_yst) totalmcap_yst
FROM indices_json
WHERE IndexName = #indexname-- and symbol!='AXISBANK'
group by indexname,datetime
)
,tbl2 as
(
select j.indexname,j.datetime,symbol,Indexmcap_today/d.totalMcap_today*100 calc_wt_today,Indexmcap_yst/d.totalmcap_yst*100 calc_wt_yest,iislPtsChange,adjustedClosePrice,pointchange
from indices_json j inner join tbl d on d.datetime=j.datetime and d.IndexName=j.IndexName
)
,tbl7 as
(
select d.IndexName,d.datetime,d.symbol,d.calc_wt_today,d.calc_wt_yest,d.iislPtsChange,d.adjustedClosePrice,d.pointchange, d.calc_wt_yest*d.iislPtsChange/d.adjustedClosePrice/100 ret
from tbl2 d
)
,tbl8 as
(
select indexname,datetime,1+sum(ret) tot_ret from tbl7 group by indexname,datetime
)
select indexname,datetime date
,round(exp(sum(log(sum(tot_ret))) over (partition by IndexName order by datetime)),6)*#beginval final_Ret
from tbl8 where datetime>=#startdt
group by indexname,datetime order by date
I am running this problem on SQL server
Here is my problem.
have something like this
Dataset A
FK_ID StartDate EndDate Type
1 10/1/2018 11/30/2018 M
1 12/1/2018 2/28/2019 N
1 3/1/2019 10/31/2019 M
I have a second data source I have no control over with data something like this:
Dataset B
FK_ID SpanStart SpanEnd Type
1 10/1/2018 10/15/2018 M
1 10/1/2018 10/25/2018 M
1 2/15/2019 4/30/2019 M
1 5/1/2019 10/31/2019 M
What I am trying to accomplish is to check to make sure every date within each TYPE M record in Dataset A has at least 1 record in Dataset B.
For example record 1 in Dataset A does NOT have coverage from 10/26/2018 through 11/30/2018. I really only care about when the coverage ends, in this case I want to return 10/26/2018 because it is the first date where the span has no coverage from Dataset B.
I've written a function that does this but it is pretty slow because it is cycling through each date within each M record and counting the number of records in Dataset B. It exits the loop when it finds the first one but I would really like to make this more efficient. I am sure I am not thinking about this properly so any suggestions anyone can offer would be helpful.
This is the section of code I'm currently running
else if #SpanType = 'M'
begin
set #CurrDate = #SpanStart
set #UncovDays = 0
while #CurrDate <= #SpanEnd
Begin
if (SELECT count(*)
FROM eligiblecoverage ec join eligibilityplan ep on ec.plandescription = ep.planname
WHERE ec.masterindividualid = #IndID
and ec.planbegindate <= #CurrDate and ec.planenddate >= #CurrDate
and ec.sourcecreateddate = #MaxDate
and ep.medicaidcoverage = 1) = 0
begin
SET #Result = concat('NON Starting ',format(#currdate, 'M/d/yyyy'))
BREAK
end
set #CurrDate = #CurrDate + 1
end
end
I am not married to having a function it just could not find a way to do this in queries that wasn't very very slow.
EDIT: Dataset B will never have any TYPEs except M so that is not a consideration
EDIT 2: The code offered by DonPablo does de-overlap the data but only in cases where there is an overlap at all. It reduces dataset B to:
FK_ID SpanStart SpanEnd Type
1 10/1/2018 10/25/2018 M
instead of
FK_ID SpanStart SpanEnd Type
1 10/1/2018 10/25/2018 M
1 2/15/2019 4/30/2019 M
1 5/1/2019 10/31/2019 M
I am still futzing around with it but it's a start.
I would approach this by focusing on B. My assumption is that any absent record would follow span_end in the table. So here is the idea:
Unpivot the dates in B (adding "1" to the end dates)
Add a flag if they are present with type "M".
Check to see if any not-present records are in the span for A.
Check the first and last dates as well.
So, this looks like:
with bdates as (
select v.dte,
(case when exists (select 1
from b b2
where v.dte between b2.spanstart and b2.spanend and
b2.type = 'M'
)
then 1 else 0
end) as in_b
from b cross apply
(values (spanstart), (dateadd(day, 1, spanend)
) v(dte)
where b.type = 'M' -- all we care about
group by v.dte -- no need for duplicates
)
select a.*,
(case when not exists (select 1
from b b2
where a.startdate between b2.spanstart and b2.spanend and
b2.type = 'M'
)
then 0
when not exists (select 1
from b b2
where a.enddate between b2.spanstart and b2.spanend and
b2.type = 'M'
)
when exists (select 1
from bdates bd
where bd.dte between a.startdate and a.enddate and
bd.in_b = 0
)
then 0
when exists (select 1
from b b2
where a.startdate between b2.spanstart and b2.spanend and
b2.type = 'M'
)
then 1
else 0
end)
from a;
What is this doing? Four validity checks:
Is the starttime valid?
Is the endtime valid?
Are any intermediate dates invalid?
Is there at least one valid record?
Start by framing the problem in smaller pieces, in a sequence of actions like I did in the comment.
See George Polya "How To Solve It" 1945
Then Google is your friend -- look at==> sql de-overlap date ranges into one record (over a million results)
UPDATED--I picked Merge overlapping dates in SQL Server
and updated it for our table and column names.
Also look at theory from 1983 Allen's Interval Algebra https://www.ics.uci.edu/~alspaugh/cls/shr/allen.html
Or from 2014 https://stewashton.wordpress.com/2014/03/11/sql-for-date-ranges-gaps-and-overlaps/
This is a primer on how to setup test data for this problem.
Finally determine what counts via Ranking the various pairs of A vs B --
bypass those totally Within, then work with earliest PartialOverlaps, lastly do the Precede/Follow items.
--from Merge overlapping dates in SQL Server
with SpanStarts as
(
select distinct FK_ID, SpanStart
from Coverage_B as t1
where not exists
(select * from Coverage_B as t2
where t2.FK_ID = t1.FK_ID
and t2.SpanStart < t1.SpanStart
and t2.SpanEnd >= t1.SpanStart)
),
SpanEnds as
(
select distinct FK_ID, SpanEnd
from Coverage_B as t1
where not exists
(select * from Coverage_B as t2
where t2.FK_ID = t1.FK_ID
and t2.SpanEnd > t1.SpanEnd
and t2.SpanStart <= t1.SpanEnd)
),
DeOverlapped_B as
(
Select FK_ID, SpanStart,
(select min(SpanEnd) from SpanEnds as e
where e.FK_ID = s.FK_ID
and SpanEnd >= SpanStart) as SpanEnd
from SpanStarts as s
)
Select * from DeOverlapped_B
Now we have something to feed into the next steps, and we can use the above as a CTE
======================================
with SpanStarts as
(
select distinct FK_ID, SpanStart
from Coverage_B as t1
where not exists
(select * from Coverage_B as t2
where t2.FK_ID = t1.FK_ID
and t2.SpanStart < t1.SpanStart
and t2.SpanEnd >= t1.SpanStart)
),
SpanEnds as
(
select distinct FK_ID, SpanEnd
from Coverage_B as t1
where not exists
(select * from Coverage_B as t2
where t2.FK_ID = t1.FK_ID
and t2.SpanEnd > t1.SpanEnd
and t2.SpanStart <= t1.SpanEnd)
),
DeOverlapped_B as
(
Select FK_ID, SpanStart,
(select min(SpanEnd) from SpanEnds as e
where e.FK_ID = s.FK_ID
and SpanEnd >= SpanStart) as SpanEnd
from SpanStarts as s
),
-- find A row's coverage
ACoverage as (
Select
a.*, b.SpanEnd, b.SpanStart,
Case
When SpanStart <= StartDate And StartDate <= SpanEnd
And SpanStart <= EndDate And EndDate <= SpanEnd
Then '1within' -- starts, equals, during, finishes
When EndDate < SpanStart
Or SpanEnd < StartDate
Then '3beforeAfter' -- preceeds, meets, preceeded, met
Else '2overlap' -- one or two ends hang over spanStart/End
End as relation
From Coverage_A a
Left Join DeOverlapped_B b
On a.FK_ID = b.FK_ID
Where a.Type = 'M'
)
Select
*
,Case
When relation1 = '2' And StartDate < SpanStart Then StartDate
When relation1 = '2' Then DateAdd(d, 1, SpanEnd)
When relation1 = '3' Then StartDate
End as UnCoveredBeginning
From (
Select
*
,SUBSTRING(relation,1,1) as relation1
,ROW_NUMBER() Over (Partition by A_ID Order by relation, SpanStart) as Rownum
from ACoverage
) aRNO
Where Rownum = 1
And relation1 <> '1'
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 have a table with the following information
ID,DateTime,EventType
1,6/5/2013 9:35:00,B
1,6/5/2013 9:35:24,A
2,6/5/2013 9:35:36,B
3,6/5/2013 9:36:11,D
2,6/5/2013 9:39:16,A
3,6/5/2013 9:40:48,B
4,7/5/2013 9:35:19,B
4,7/5/2013 9:35:33,A
5,7/5/2013 9:35:53,B
5,7/5/2013 9:36:06,D
6,7/5/2013 9:39:39,A
7,7/5/2013 9:40:28,B
8,8/5/2013 9:35:02,A
7,8/5/2013 9:35:08,A
8,8/5/2013 9:35:29,B
6,8/5/2013 9:36:39,B
I need to count how many times each day an event changed state as long as the time between states was less than 30 seconds over the time period.
Basically I am looking for the following result set
6/5/2013 | 1
7/5/2013 | 2
8/5/2013 | 1
I've tried several different types of queries, but nothing works. I am using SQL Server Reporting Services 2008.
declare #t table (ID int,[DateTime] datetime ,EventType varchar);
insert #t values
(1,'6/5/2013 9:35:00','B'),
(1,'6/5/2013 9:35:24','A'),
(2,'6/5/2013 9:35:36','B'),
(3,'6/5/2013 9:36:11','D'),
(2,'6/5/2013 9:39:16','A'),
(3,'6/5/2013 9:40:48','B'),
(4,'7/5/2013 9:35:19','B'),
(4,'7/5/2013 9:35:33','A'),
(5,'7/5/2013 9:35:53','B'),
(5,'7/5/2013 9:36:06','D'),
(6,'7/5/2013 9:39:39','A'),
(7,'7/5/2013 9:40:28','B'),
(8,'8/5/2013 9:35:02','A'),
(7,'8/5/2013 9:35:08','A'),
(8,'8/5/2013 9:35:29','B'),
(6,'8/5/2013 9:36:39','B');
--select * from #t order by ID, DateTime;
with cte as (
select *, cast([DateTime] as date) the_date, row_number() over (partition by ID order by DateTime) row_num
from #t
)
select c1.the_date, count(1)
from cte c1
join cte c2
on c2.ID = c1.ID
and c2.row_num = c1.row_num + 1
where datediff(S,c1.DateTime, c2.DateTime) < 30
group by c1.the_date
order by c1.the_date;
Try this:
select CONVERT(VARCHAR(10), a.DateTime, 103) [Date], count(a.ID) Count from Table a
inner join Table b on a.ID = b.ID
where DATEDIFF(second,a.DateTime,b.DateTime) between 1 and 29 and a.ID = b.ID
and Cast(a.DateTime as Date) = Cast(b.DateTime as date)
group by CONVERT(VARCHAR(10), a.DateTime, 103)
Thanks in advance for your help on this. Here's the the scenario. I have two tables: Lots (stores lot info for food items) and Trans (stores inventory transactions on lot items).
I am trying to write a query that lists all the transactions that are older than 90 days based 3 conditions on the where clause somehow:
CurrentQty (on Lots table) > 0
If TransactionType = Shipment AND TransactionDate > 90 days (from current date) OR..
IF TransactionType = Receipt AND TransactionDate > 90 days (from current date)
Notes: for each lot, there could be many different transactions of the same type, as shown in the attached picture. There could be many shipments or receipts. I need to be able to select the MAX(TransactionDate) for a particular transaction type and check to see if it's over 90 days then show the record.
There will always be at least one of these two transaction types on the transaction table for every lot, either Shipment or Receipt. If there is no shipment transaction type on a particular lot, then I want to use the Max(TransactionDate) > 90 condition for the "receipt" transaction type.
I need to be able to evaluate all these conditions for each lot and it's particular transactions.
Below is the query I started to write, but then got stuck on how to structure the rest.
SELECT
LOTS.LOTNUMBER, TRANS.ITEMNUMBER, TRANS.DESCRIPTION,
TRANS.TRANSACTIONTYPE, TRANS.TRANSACTIONDATE, TRANS.WAREHOUSE,
TRANS.QUANTITY
FROM
LOTS
INNER JOIN
TRANS ON LOTS.LOTNUMBER = TRANS.LOTNUMBER
WHERE
LOTS.CURRENTQUANTITY > 0
SELECT
LOTS.LOTNUMBER, TRANS.ITEMNUMBER, TRANS.DESCRIPTION,
TRANS.TRANSACTIONTYPE, TRANS.TRANSACTIONDATE, TRANS.WAREHOUSE,
TRANS.QUANTITY
FROM
LOTS
INNER JOIN
(Select LotNumber, Max(TransactionDate) MaxTransDate From TRANS Group By LotNumber) Trans ON LOTS.LOTNUMBER = TRANS.LOTNUMBER
WHERE
LOTS.CURRENTQUANTITY > 0 And
DATEDIFF(d, TRANS.TRANSACTIONDATE, getdate()) > 90 And
(TRANS.TRANSACTIONTYPE = 'Reciept' Or
TRANS.TRANSACTIONTYPE = 'Shipment')
DECLARE #lots TABLE (
LotNumber NVARCHAR(10)
,ItemNum NVARCHAR(12)
,CurrentQty INT
)
DECLARE #trans TABLE (
TransNum INT
,ItemNum NVARCHAR(12)
,Description NVARCHAR(30)
,TransType NVARCHAR(10)
,TransDate DATE
,Warehouse NVARCHAR(5)
,Quantity INT
)
INSERT INTO #lots VALUES
('ABC','10-MAND-5879',925)
INSERT INTO #trans VALUES
(398741,'10-MAND-5879','10 Lb Mandarin Bag','Receipt','2016-01-01','IXCST',100)
,(973541,'10-MAND-5879','10 Lb Mandarin Bag','Shipment','2016-02-04','WTGS',365)
,(972547,'10-MAND-5879','10 Lb Mandarin Bag','Receipt','2016-02-29','GKWK',250)
,(632403,'10-MAND-5879','10 Lb Mandarin Bag','Shipment','2016-03-01','GWSJ',150)
,(692147,'10-MAND-5879','10 Lb Mandarin Bag','Shipment','2016-03-17','ABTK',25)
;WITH MaxShip
AS (
SELECT ItemNum, TransNum,
ROW_NUMBER () OVER (PARTITION BY ItemNum ORDER BY TransDate DESC) AS TransOrder
FROM #trans
WHERE TransType = 'Shipment'
),
MaxRcpt
AS (
SELECT ItemNum, TransNum,
ROW_NUMBER () OVER (PARTITION BY ItemNum ORDER BY TransDate DESC) AS TransOrder
FROM #trans
WHERE transtype = 'Receipt'
)
SELECT *
FROM #trans t
LEFT JOIN #lots l
ON t.ItemNum = l.ItemNum
JOIN MaxShip ms
ON ms.TransNum = t.TransNum
WHERE TransOrder = 1 AND CurrentQty > 0 AND DATEADD(dd,90,TransDate) < GETDATE()
UNION
SELECT *
FROM #trans t
LEFT JOIN #lots l
ON t.ItemNum = l.ItemNum
JOIN MaxRcpt mr
ON mr.TransNum = t.TransNum
WHERE TransOrder = 1 AND CurrentQty > 0 AND DATEADD(dd,90,TransDate) < GETDATE()