I'm using SQL-Server 2008.
I have to select stock of items at provided start date and stock of items at provided end date from 2 warehouses.
This is how I'm selecting QuantityStock for #startDate:
DECLARE #startDate DATE = '20160111'
SELECT *
FROM (
SELECT SUM(QuantityStock) AS QuantityStockStart, Vendor, ItemNo, Company, [Date]
FROM WarehouseA wha
WHERE [Date] = (SELECT MAX([Date])
FROM WarehouseA wha2
WHERE wha.Vendor = wha2.Vendor
AND wha.ItemNo = wha2.ItemNo
AND wha.Company= wha2.Company
AND [Date] <= #startDate)
GROUP BY Vendor, ItemNo, Company, [Date]
UNION ALL
SELECT SUM(QuantityStock) AS QuantityStockStart, Vendor, ItemNo, Company, [Date]
FROM WarehouseB whb
WHERE [Date] = (SELECT MAX([Date])
FROM WarehouseB whb2
WHERE whb.Vendor = whb2.Vendor
AND whb.ItemNo = whb2.ItemNo
AND whb.Company= whb2.Company
AND [Date] <= #startDate)
GROUP BY Vendor, ItemNo, Company, [Date]
) stock_start
LEFT JOIN some_table st ON.....
As you see there are 2 similar queries, just selecting from different tables, for that I'm using UNION ALL
Also I'm using [DATE] <= #startDate that because not every day remaining stock is inserting, so for provided date '20160111' there can be no data, so need to select max date where remaining stock is inserted.
With query above a bit slowly, but working fine.
Problem is that I need to do the same with #endDate to get remaining stock for end date. Query is similar as above just instead of #startDate I need to use #endDate.
I've tried to use query above and LEFT JOIN similar query, just with #endDate instead of #startDate in following:
DECLARE #startDate DATE = '20160111',
#endDate DATE = '20165112'
SELECT stock_start.*, stock_end.QuantityStockEnd
FROM (
SELECT SUM(QuantityStock) AS QuantityStockStart, Vendor, ItemNo, Company, [Date]
FROM WarehouseA wha
WHERE [Date] = (SELECT MAX([Date])
FROM WarehouseA wha2
WHERE wha.Vendor = wha2.Vendor
AND wha.ItemNo = wha2.ItemNo
AND wha.Company= wha2.Company
AND [Date] <= #startDate)
GROUP BY Vendor, ItemNo, Company, [Date]
UNION ALL
SELECT SUM(QuantityStock) AS QuantityStock, Vendor, ItemNo, Company, [Date]
FROM WarehouseB whb
WHERE [Date] = (SELECT MAX([Date])
FROM WarehouseB whb2
WHERE whb.Vendor = whb2.Vendor
AND whb.ItemNo = whb2.ItemNo
AND whb.Company= whb2.Company
AND [Date] <= #startDate)
GROUP BY Vendor, ItemNo, Company, [Date]
) stock_start
LEFT JOIN (
SELECT SUM(QuantityStock) AS QuantityStockEnd, Vendor, ItemNo, Company, [Date]
FROM WarehouseA wha
WHERE [Date] = (SELECT MAX([Date])
FROM WarehouseA wha2
WHERE wha.Vendor = wha2.Vendor
AND wha.ItemNo = wha2.ItemNo
AND wha.Company= wha2.Company
AND [Date] <= #endDate)
GROUP BY Vendor, ItemNo, Company, [Date]
UNION ALL
SELECT SUM(QuantityStock) AS QuantityStockEnd, Vendor, ItemNo, Company, [Date]
FROM WarehouseB whb
WHERE [Date] = (SELECT MAX([Date])
FROM WarehouseB whb2
WHERE whb.Vendor = whb2.Vendor
AND whb.ItemNo = whb2.ItemNo
AND whb.Company= whb2.Company
AND [Date] <= #endDate)
GROUP BY Vendor, ItemNo, Company, [Date]
) stock_end ON stock_start.Vendor = stock_end.Vendor AND stock_start.ItemNo = stock_end.ItemNo AND stock_start.Company = stock_end.Company
LEFT JOIN some_table st ON.....
In this way I got desired results, but Its execution time so high (about 10x longer than first query only with #startDate). Have you ideas how could I optimize It? It looks like there should be any other, simpler way, without repeating code...
So final results should be:
QuantityStockStart | Vendor | ItemNo | Company | [Date] | QuantityStockEnd
I suggest use of the analytic function ROW_NUMBER() to locate the wanted source table rows. While there is no sample data to test against it is something of a guess but I think you may be able to do this:
SELECT
whab.Vendor
, whab.ItemNo
, whab.Company
, MIN(CASE WHEN whab.start_rn = 1 THEN whab.[Date] END) start_dt
, SUM(CASE WHEN whab.start_rn = 1 THEN whab.QuantityStock END) qty_at_start
, MAX(CASE WHEN whab.end_rn = 1 THEN whab.[Date] END) end_dt
, SUM(CASE WHEN whab.end_rn = 1 THEN whab.QuantityStock END) qty_at_end
FROM (
SELECT
Vendor
, ItemNo
, Company
, [Date]
, QuantityStock
, ROW_NUMBER() OVER (PARTITION BY Vendor, ItemNo, Company
ORDER BY CASE WHEN [Date] <= #startDate THEN 1 ELSE 2 END, [Date] DESC) AS start_rn
, ROW_NUMBER() OVER (PARTITION BY Vendor, ItemNo, Company
ORDER BY CASE WHEN [Date] <= #endDate THEN 1 ELSE 2 END, [Date] DESC) AS end_rn
FROM WarehouseA
UNION ALL
SELECT
Vendor
, ItemNo
, Company
, [Date]
, QuantityStock
, ROW_NUMBER() OVER (PARTITION BY Vendor, ItemNo, Company
ORDER BY CASE WHEN [Date] <= #startDate THEN 1 ELSE 2 END, [Date] DESC) AS start_rn
, ROW_NUMBER() OVER (PARTITION BY Vendor, ItemNo, Company
ORDER BY CASE WHEN [Date] <= #endDate THEN 1 ELSE 2 END, [Date] DESC) AS end_rn
FROM WarehouseB
) whab
WHERE whab.start_rn = 1
OR whab.end_rn = 1
GROUP BY
whab.Vendor
, whab.ItemNo
, whab.Company
Try removing the subquery that follows WHERE [Date]= but keeping the where conditions from that subquery. Change [Date] to MAX([Date]) and remove [Date] from the GROUP BY in the query that used to use the removed subquery.
Related
I have a table like
date
ticker
Action
'2022-03-01'
AAPL
BUY
'2022-03-02'
AAPL
SELL.
'2022-03-03'
AAPL
BUY.
'2022-03-01'
CMG
SELL.
'2022-03-02'
CMG
HOLD.
'2022-03-03'
CMG
HOLD.
'2022-03-01'
GPS
SELL.
'2022-03-02'
GPS
SELL.
'2022-03-03'
GPS
SELL.
I want to do a group by ticker then count all the times that Actions have sequentially been the value that they are as of the last date, here it's 2022-03-03. ie for this example table it'd be like;
ticker
NumSequentialDaysAction
AAPL
0
CMG
1
GPS
2
Fine to pass in 2022-03-03 as a value, don't need to figure that out on the fly.
Tried something like this
---Table Creation---
CREATE TABLE UserTable
([Date] DATETIME2, [Ticker] varchar(5), [Action] varchar(5))
;
INSERT INTO UserTable
([Date], [Ticker], [Action])
VALUES
('2022-03-01' , 'AAPL' , 'BUY'),
('2022-03-02' , 'AAPL' , 'SELL'),
('2022-03-03' , 'AAPL' , 'BUY'),
('2022-03-01' , 'CMG' , 'SELL'),
('2022-03-02' , 'CMG' , 'HOLD'),
('2022-03-03' , 'CMG' , 'HOLD'),
('2022-03-01' , 'GPS' , 'SELL'),
('2022-03-02' , 'GPS' , 'SELL'),
('2022-03-03' , 'GPS' , 'SELL')
;
---Attempted Solution---
I'm thinking that I need to do a sub query to get the last value and join on itself to get the matching values. Then apply a window function, ordered by date to see that the proceeding value is sequential.
WITH CTE AS (SELECT Date, Ticker, Action,
ROW_NUMBER() OVER (PARTITION BY Ticker, Action ORDER BY Date) as row_num
FROM UserTable)
SELECT Ticker, COUNT(DISTINCT Date) as count_of_days
FROM CTE
WHERE row_num = 1
GROUP BY Ticker;
WITH CTE AS (SELECT Date, Ticker, Action,
DENSE_RANK() OVER (PARTITION BY Ticker ORDER BY Action,Date) as rank
FROM table)
SELECT Ticker, COUNT(DISTINCT Date) as count_of_days
FROM CTE
WHERE rank = 1
GROUP BY Ticker;
You can do this with the help of the LEAD function like so. You didn't specify which RDBMS you're using. This solution works in PostgreSQL:
WITH "withSequential" AS (
SELECT
ticker,
(LEAD("Action") OVER (PARTITION BY ticker ORDER BY date ASC) = "Action") AS "nextDayIsSameAction"
FROM UserTable
)
SELECT
ticker,
SUM(
CASE
WHEN "nextDayIsSameAction" IS TRUE THEN 1
ELSE 0
END
) AS "NumSequentialDaysAction"
FROM "withSequential"
GROUP BY ticker
Here is a way to do this using gaps and islands solution.
Thanks for sharing the create and insert scripts, which helps to build the solution quickly.
dbfiddle link.
https://dbfiddle.uk/rZLDTrNR
with data
as (
select date
,ticker
,action
,case when lag(action) over(partition by ticker order by date) <> action then
1
else 0
end as marker
from usertable
)
,interim_data
as (
select *
,sum(marker) over(partition by ticker order by date) as grp_val
from data
)
,interim_data2
as (
select *
,count(*) over(partition by ticker,grp_val) as NumSequentialDaysAction
from interim_data
)
select ticker,NumSequentialDaysAction
from interim_data2
where date='2022-03-03'
Another option, you could use the difference between two row_numbers approach as the following:
select [Ticker], count(*)-1 NumSequentialDaysAction -- you could use (distinct) to remove duplicate rows
from
(
select *,
row_number() over (partition by [Ticker] order by [Date]) -
row_number() over (partition by [Ticker], [Action] order by [Date]) grp
from UserTable
where [date] <= '2022-03-03'
) RN_Groups
/* get only rows where [Action] = last date [Action] */
where [Action] = (select top 1 [Action] from UserTable T
where T.[Ticker] = RN_Groups.[Ticker] and [date] <= '2022-03-03'
order by [Date] desc)
group by [Ticker], [Action], grp
See demo
I am working on pulling some data from a table.
declare #SampleData as Table(Id int, ContactId int, Item varchar(25),CreatedOn date)
insert into #SampleData
VALUES(100,2500,'Some item name 1212', '9/5/2020'),
(104,2500,'Some item name 2232', '9/15/2020'),
(109,2500,'Some item name 3434', '9/20/2020'),
(112,3000,'Some item name 5422', '8/1/2020'),
(132,3000,'Some item name 344', '9/5/2020'),
(134,3000,'Some item name 454', '9/15/2020'),
(139,3500,'Some item name 6455', '7/5/2020'),
(146,3500,'Some item name 546', '8/5/2020'),
(142,3500,'Some item name 867', '9/5/2020'),
(149,3500,'Some item name 677', '9/15/2020'),
(150,3500,'Some item name 888', '9/19/2020')
The logic here is so that you can find new contact id each month (so logic is if same contact dont have any record in last 28 days from 1st of that month, it consider as new contact)
When you have two date periods, this is easy to do so you can exclude the records you want as below
SELECT *
FROM #SampleData
WHERE CreatedOn> = #FromDate
and CreatedOn <=#Date
and ContactId not in (SELECT ContactId
FROM #SampleData
WHERE CreatedOn >= DateAdd(Day, -28,#FromDate)
AND CreatedOn < #FromDate)
What I want is to pre-populate this data without having parameters to a some table so that user can use.
In this example data, I am expecting contact 3500 for July, 3000 for August and 2500&3000 for September.
Also it need to display only record per contact and not duplicate.
DECLARE #From date,
#To date
DECLARE date_cursor CURSOR FOR
select distinct DATEADD(month, DATEDIFF(month, 0, CreatedOn), 0) FromDate,EOMONTH(CreatedOn) ToDate
from #SampleData
OPEN date_cursor
FETCH NEXT FROM date_cursor INTO #From,#To
WHILE ##FETCH_STATUS = 0
BEGIN
SELECT *
FROM (
SELECT DISTINCT ContactId,#From 'From Date', #To 'To Date'
FROM #SampleData D
WHERE D.CreatedOn>= #From AND D.CreatedOn <= #To
AND ContactId NOT IN (SELECT ContactId
FROM #SampleData
WHERE CreatedOn >= DateAdd(Day, -28,#From)
AND CreatedOn < #From)) ContactData
OUTER APPLY (
--pick first row for the contact as per the period
SELECT TOP 1 *
FROM #SampleData D
WHERE D.ContactId = ContactData.ContactId
AND D.CreatedOn >= ContactData.[From Date]
AND D.CreatedOn < ContactData.[To Date]
ORDER BY CreatedOn
) Records
FETCH NEXT FROM date_cursor INTO #From,#To
END
CLOSE date_cursor
DEALLOCATE date_cursor
Result
ContactId From Date To Date Id Item CreatedOn
3500 01/07/2020 31/07/2020 139 Some item name 6455 05/07/2020
3000 01/08/2020 31/08/2020 112 Some item name 5422 01/08/2020
2500 01/09/2020 30/09/2020 100 Some item name 1212 05/09/2020
3000 01/09/2020 30/09/2020 132 Some item name 344 05/09/2020
I would like to get rid of cursor, is there any possibility
You can assign a grouping to the contacts by using lag() and comparing the rows:
select sd.*,
sum(case when prev_createdon > dateadd(day, -28, createdon) then 0 else 1 end) over
(partition by contactid order by createdon) as grouping
from (select sd.*,
lag(createdon) over (partition by contactid order by createdon) as prev_createdon
from SampleData sd
) sd;
If you just want the first row in a series of adjacent records, then:
select sd.*
from (select sd.*,
lag(createdon) over (partition by contactid order by createdon) as prev_createdon
from SampleData sd
) sd
where prev_createdon < dateadd(day, -28, createdon) or prev_createdon is null;
Here is a db<>fiddle.
EDIT:
Based on the revised question, you want to summarize by group. You an do this using:
select contactid, min(createdon), max(createdon), min(id),
max(case when seqnum = 1 then item end) as item
from (select sd.*,
row_number() over (partition by contactid, grouping order by createdon) as seqnum
from (select sd.*,
sum(case when prev_createdon > dateadd(day, -28, createdon) then 0 else 1 end) over
(partition by contactid order by createdon) as grouping
from (select sd.*,
lag(createdon) over (partition by contactid order by createdon) as prev_createdon
from SampleData sd
) sd
) sd
) sd
group by contactid, grouping;
I updated the DB fiddle to have this as well.
I have a table which has the following columns: DeskID *, ProductID *, Date *, Amount (where the columns marked with * make the primary key). The products in use vary over time, as represented in the image below.
Table format on the left, and a (hopefully) intuitive representation of the data on the right for one desk
The objective is to have the sum of the latest amounts of products by desk and date, including products which are no longer in use, over a date range.
e.g. using the data above the desired table is:
So on the 1st Jan, the sum is 1 of Product A
On the 2nd Jan, the sum is 2 of A and 5 of B, so 7
On the 4th Jan, the sum is 1 of A (out of use, so take the value from the 3rd), 5 of B, and 2 of C, so 8 in total
etc.
I have tried using a partition on the desk and product ordered by date to get the most recent value and turned the following code into a function (Function1 below) with #date Date parameter
select #date 'Date', t.DeskID, SUM(t.Amount) 'Sum' from (
select #date 'Date', t.DeskID, t.ProductID, t.Amount
, row_number() over (partition by t.DeskID, t.ProductID order by t.Date desc) as roworder
from Table1 t
where 1 = 1
and t.Date <= #date
) t
where t.roworder = 1
group by t.DeskID
And then using a utility calendar table and cross apply to get the required values over a time range, as below
select * from Calendar c
cross apply Function1(c.CalendarDate)
where c.CalendarDate >= '20190101' and c.CalendarDate <= '20191009'
This has the expected results, but is far too slow. Currently each desk uses around 50 products, and the products roll every month, so after just 5 years each desk has a history of ~3000 products, which causes the whole thing to grind to a halt. (Roughly 30 seconds for a range of a single month)
Is there a better approach?
Change your function to the following should be faster:
select #date 'Date', t.DeskID, SUM(t.Amount) 'Sum'
FROM (SELECT m.DeskID, m.ProductID, MAX(m.[Date) AS MaxDate
FROM Table1 m
where m.[Date] <= #date) d
INNER JOIN Table1 t
ON d.DeskID=t.DeskID
AND d.ProductID=t.ProductID
and t.[Date] = d.MaxDate
group by t.DeskID
The performance of TVF usually suffers. The following removes the TVF completely:
-- DROP TABLE Table1;
CREATE TABLE Table1 (DeskID int not null, ProductID nvarchar(32) not null, [Date] Date not null, Amount int not null, PRIMARY KEY ([Date],DeskID,ProductID));
INSERT Table1(DeskID,ProductID,[Date],Amount)
VALUES (1,'A','2019-01-01',1),(1,'A','2019-01-02',2),(1,'B','2019-01-02',5),(1,'A','2019-01-03',1)
,(1,'B','2019-01-03',4),(1,'C','2019-01-03',3),(1,'B','2019-01-04',5),(1,'C','2019-01-04',2),(1,'C','2019-01-05',2)
GO
DECLARE #StartDate date=N'2019-01-01';
DECLARE #EndDate date=N'2019-01-05';
;WITH cte_p
AS
(
SELECT DISTINCT DeskID,ProductID
FROM Table1
WHERE [Date] <= #EndDate
),
cte_a
AS
(
SELECT #StartDate AS [Date], p.DeskID, p.ProductID, ISNULL(a.Amount,0) AS Amount
FROM (
SELECT t.DeskID, t.ProductID
, MAX(t.Date) AS FirstDate
FROM Table1 t
WHERE t.Date <= #StartDate
GROUP BY t.DeskID, t.ProductID) f
INNER JOIN Table1 a
ON f.DeskID=a.DeskID
AND f.ProductID=a.ProductID
AND f.[FirstDate]=a.[Date]
RIGHT JOIN cte_p p
ON p.DeskID=a.DeskID
AND p.ProductID=a.ProductID
UNION ALL
SELECT DATEADD(DAY,1,a.[Date]) AS [Date], t.DeskID, t.ProductID, t.Amount
FROM Table1 t
INNER JOIN cte_a a
ON t.DeskID=a.DeskID
AND t.ProductID=a.ProductID
AND t.[Date] > a.[Date]
AND t.[Date] <= DATEADD(DAY,1,a.[Date])
WHERE a.[Date]<#EndDate
UNION ALL
SELECT DATEADD(DAY,1,a.[Date]) AS [Date], a.DeskID, a.ProductID, a.Amount
FROM cte_a a
WHERE NOT EXISTS(SELECT 1 FROM Table1 t
WHERE t.DeskID=a.DeskID
AND t.ProductID=a.ProductID
AND t.[Date] > a.[Date]
AND t.[Date] <= DATEADD(DAY,1,a.[Date]))
AND a.[Date]<#EndDate
)
SELECT [Date], DeskID, SUM(Amount)
FROM cte_a
GROUP BY [Date], DeskID;
I am struggling with a TSQL query and I'm all out of googling, so naturally I figured I might as well ask on SO.
Please keep in mind that I just began trying to learn SQL a few weeks back and I'm not really sure what rules there are and how you can and can not write your queries / sub-queries.
This is what I have so far:
Edit: Updated with DDL that should help create an example, also commented out unnecessary "Client"-column.
CREATE TABLE NumberTable
(
Number varchar(20),
Date date
);
INSERT INTO NumberTable (Number, Date)
VALUES
('55512345', '2015-01-01'),
('55512345', '2015-01-01'),
('55512345', '2015-01-01'),
('55545678', '2015-01-01'),
('55512345', '2015-02-01'),
('55523456', '2015-02-01'),
('55523456', '2015-02-01'),
('55534567', '2015-03-01'),
('55534567', '2015-03-01'),
('55534567', '2015-03-01'),
('55534567', '2015-03-01'),
('55545678', '2015-03-01'),
('55545678', '2015-04-01')
DECLARE
--#ClientNr AS int,
#FromDate AS date,
#ToDate AS date
--SET #ClientNr = 11111
SET #FromDate = '2015-01-01'
SET #ToDate = DATEADD(yy, 1, #FromDate)
SELECT
YEAR(Date) AS [Year],
MONTH(Date) AS [Month],
COUNT(Number) AS [Total Count]
FROM
NumberTable
WHERE
--Client = #ClientNr
Date BETWEEN #FromDate AND #ToDate
AND Number IS NOT NULL
AND Number NOT IN ('888', '144')
GROUP BY MONTH(Date), YEAR(Date)
ORDER BY [Year], [Month]
With this I am getting the Year, Month and Total Count.
I'm happy with only getting the top 1 most called number and count each month, but showing top 5 is preferable.
Heres an example of how I would like the table to look in the end (having the months formatted as JAN, FEB etc instead of numbers is not really important, but would be a nice bonus):
╔══════╦═══════╦═════════════╦═══════════╦══════════╦═══════════╦══════════╗
║ Year ║ Month ║ Total Count ║ #1 Called ║ #1 Count ║ #2 Called ║ #2 Count ║
╠══════╬═══════╬═════════════╬═══════════╬══════════╬═══════════╬══════════╣
║ 2016 ║ JAN ║ 80431 ║ 555-12345 ║ 45442 ║ 555-94564 ║ 17866 ║
╚══════╩═══════╩═════════════╩═══════════╩══════════╩═══════════╩══════════╝
I was told this was "easily" done with a sub-query, but I'm not so sure...
Interesting one this, I believe you can do it with a CTE and PIVOT but this is off the top of my head... This may not work verbatim
WITH Rollup_CTE
AS
(
SELECT Client,MONTH(Date) as Month, YEAR(Date) as Year, Number, Count(0) as Calls, ROW_NUMBER() OVER (PARTITION BY Client,MONTH(Date) as SqNo, YEAR(Date), Number ORDER BY COUNT(0) DESC)
from NumberTable
WHERE Number IS NOT NULL AND Number NOT IN ('888', '144')
GROUP BY Client,MONTH(Date), YEAR(Date), Number
)
SELECT * FROM Rollup_CTE Where SqNo <=5
You may then be able to pivot the data as you wish using PIVOT
artm's query corrected (PARTITION) and the last step (pivoting) simplified.
with data AS
(select '2016-01-01' as called, '111' as number
union all select '2016-01-01', '111'
union all select '2016-01-01', '111'
union all select '2016-01-01', '222'
union all select '2016-01-01', '222'
union all select '2016-01-05', '111'
union all select '2016-01-05', '222'
union all select '2016-01-05', '222')
, ordered AS (
select called
, number
, count(*) cnt
, ROW_NUMBER() OVER (PARTITION BY called ORDER BY COUNT(*) DESC) rnk
from data
group by called, number)
select called, total = sum(cnt)
, n1= max(case rnk when 1 then number end)
, cnt1=max(case rnk when 1 then cnt end)
, n2= max(case rnk when 2 then number end)
, cnt2=max(case rnk when 2 then cnt end)
from ordered
group by called
EDIT Using setup provided by OP
WITH ordered AS(
-- compute order
SELECT
[Year] = YEAR(Date)
, [Month] = MONTH(Date)
, number
, COUNT(*) cnt
, ROW_NUMBER() OVER (PARTITION BY YEAR(Date), MONTH(Date) ORDER BY COUNT(*) DESC) rnk
FROM NumberTable
WHERE Date BETWEEN #FromDate AND #ToDate
AND Number IS NOT NULL
AND Number NOT IN ('888', '144')
GROUP BY YEAR(Date), MONTH(Date), number
)
-- pivot by order
SELECT [Year], [Month]
, total = sum(cnt)
, n1 = MAX(case rnk when 1 then number end)
, cnt1 = MAX(case rnk when 1 then cnt end)
, n2 = MAX(case rnk when 2 then number end)
, cnt2 = MAX(case rnk when 2 then cnt end)
-- n3, cnt3, ....
FROM ordered
GROUP BY [Year], [Month];
This query help you:
IF OBJECT_ID('tempdb..#Test','U') IS NOT NULL DROP TABLE #Test;
CREATE TABLE #Test(Number INT NOT NULL)
INSERT INTO #Test(Number)
VALUES(1),(2),(3),(1)
SELECT TOP 1 WITH TIES
Number
FROM (
SELECT DISTINCT
Number
, COUNT(*) OVER(PARTITION BY Number) AS cnt
FROM #Test) AS T
ORDER BY cnt DESC
I have used TOP 1 WITH TIES for case when max count exists for several values.
Try this, doesn't have to be CTE but I used it to populate data, you can extend it to include 3rd, 4th etc.
;with data AS
(select '2016-01-01' as called, '111' as number
union all select '2016-01-01', '111'
union all select '2016-01-01', '111'
union all select '2016-01-01', '222'
union all select '2016-01-01', '222')
, ordered AS (
select called
, number
, count(*) cnt
, ROW_NUMBER() OVER (ORDER BY COUNT(*) DESC) rnk
from data
group by called, number)
SELECT distinct *
FROM (SELECT DATENAME(month, called) mnth FROM ordered) AS mnth,
(SELECT number MostCalledNumber FROM ordered WHERE rnk = 1) AS MostCalledNumber,
(SELECT cnt MostCalledTimes FROM ordered WHERE rnk = 1) AS MostCalledTimes,
(SELECT number SecondMostCalledNumber FROM ordered WHERE rnk = 2) AS SecondMostCalledNumber,
(SELECT cnt SecondMostCalledTimes FROM ordered WHERE rnk = 2) AS SecondMostCalledTimes
I have a date column Order_date and I am looking for ways to calculate the date difference between customer last order date and his recent previous ( previous form last) order_date ....
Example
Customer : 1, 2 , 1 , 1
Order_date: 01/02/2007, 02/01/2015, 06/02/2014, 04/02/2015
As you can see customer # 1 has three orders.
I want to know the date difference between his recent order date (04/02/2015) and his recent previous (06/02/2014).
For SQL Server 2012 & 2014 you could use LAG with a DATEDIFF to see the number of days between them.
For older versions, a CTE would probably be your best bet:
;WITH CTE AS
(
SELECT CustomerID,
Order_Date,
rn = ROW_NUMBER() OVER (PARTITION BY CustomerID ORDER BY Order_Date DESC)
)
SELECT c1.CustomerID,
DATEDIFF(d, c1.Order_Date, c2.Order_Date)
FROM CTE c1
INNER JOIN CTE c2 ON c2.rn = c1.rn + 1
In SQL Server 2012+, you can use lag() to get the difference between any two dates:
select t.*,
datediff(day, lag(order_date) over (partition by customer order by order_date),
order_date) as days_dff
from table t;
If you have an older version, you can do something similar with correlated subqueries or outer apply.
EDIT:
If you just want the difference between the two most recent dates, use conditional aggregation instead:
select customer,
datediff(day, max(case when seqnum = 2 then order_date end),
max(case when seqnum = 1 then order_date end)
) as MostRecentDiff
from (select t.*,
row_number() over (partition by customer order by order_date desc) as seqnum
from table t
) t
group by customer;
If you're using SQL Server 2008 or later, you can try CROSS APPLY.
SELECT [customers].[customer_id], DATEDIFF(DAY, MIN([recent_orders].[order_date]), MAX([recent_orders].[order_date])) AS [elapsed]
FROM [customers]
CROSS APPLY (
SELECT TOP 2 [order_date]
FROM [orders]
WHERE ([orders].[customer_id] = [customers].[customer_id])
) [recent_orders]
GROUP BY [customers].[customer_id]
SELECT DATEDIFF(DAY, Y.PrevLastOrderDate, Y.LastOrderDate) AS PreviousDays
FROM
(
SELECT X.LastOrderDate
, (SELECT MAX(OrderDate) FROM dbo.Orders SO WHERE SO.CustomerID=1 AND SO.OrderDate < X.LastOrderDate) AS PrevLastOrderDate
FROM
(
select MAX(OrderDate) AS LastOrderDate
FROM dbo.Orders O
WHERE O.CustomerID=1
)X
)Y
drop table #Invoices
create table #Invoices ( OrderId int , OrderDate datetime )
insert into #Invoices (OrderId , OrderDate )
select 101, '01/01/2001' UNION ALL Select 202, '02/02/2002' UNION ALL Select 303, '03/03/2003'
UNION ALL Select 808, '08/08/2008' UNION ALL Select 909, '09/09/2009'
;
WITH
MyCTE /* http://technet.microsoft.com/en-us/library/ms175972.aspx */
( OrderId,OrderDate,ROWID) AS
(
SELECT
OrderId,OrderDate
, ROW_NUMBER() OVER ( ORDER BY OrderDate ) as ROWID
FROM
#Invoices inv
)
SELECT
OrderId,OrderDate
,(Select Max(OrderDate) from MyCTE innerAlias where innerAlias.ROWID = (outerAlias.ROWID-1) ) as PreviousOrderDate
,
[MyDiff] =
CASE
WHEN (Select Max(OrderDate) from MyCTE innerAlias where innerAlias.ROWID = (outerAlias.ROWID-1) ) iS NULL then 0
ELSE DATEDIFF (mm, OrderDate , (Select Max(OrderDate) from MyCTE innerAlias where innerAlias.ROWID = (outerAlias.ROWID-1) ) )
END
, ROWIDMINUSONE = (ROWID-1)
, ROWID as ROWID_SHOWN_FOR_KICKS , OrderDate as OrderDateASecondTimeForConvenience
FROM
MyCTE outerAlias
ORDER BY outerAlias.OrderDate Desc , OrderId