I'm a little struggled with finding a clean way to do this. Assume that I have the following records in my table named Records:
|Name| |InsertDate| |Size|
john 30.06.2015 1
john 10.01.2016 10
john 12.01.2016 100
john 05.03.2016 1000
doe 01.01.2016 1
How do I get the records for year of 2016 and month is equal to or less than 3 grouped by month(even that month does not exists e.g. month 2 in this case) with cumulative sum of Size including that month? I want to get the result as the following:
|Name| |Month| |Size|
john 1 111
john 2 111
john 3 1111
doe 1 1
As other commenters have already stated, you simply need a table with dates in that you can join from to give you the dates that your source table does not have records for:
-- Build the source data table.
declare #t table(Name nvarchar(10)
,InsertDate date
,Size int
);
insert into #t values
('john','20150630',1 )
,('john','20160110',10 )
,('john','20160112',100 )
,('john','20160305',1000)
,('doe' ,'20160101',1 );
-- Specify the year you want to search for by storing the first day here.
declare #year date = '20160101';
-- This derived table builds a set of dates that you can join from.
-- LEFT JOINing from here is what gives you rows for months without records in your source data.
with Dates
as
(
select #year as MonthStart
,dateadd(day,-1,dateadd(month,1,#year)) as MonthEnd
union all
select dateadd(month,1,MonthStart)
,dateadd(day,-1,dateadd(month,2,MonthStart))
from Dates
where dateadd(month,1,MonthStart) < dateadd(yyyy,1,#year)
)
select t.Name
,d.MonthStart
,sum(t.Size) as Size
from Dates d
left join #t t
on(t.InsertDate <= d.MonthEnd)
where d.MonthStart <= '20160301' -- Without knowing what your logic is for specifying values only up to March, I have left this part for you to automate.
group by t.Name
,d.MonthStart
order by t.Name
,d.MonthStart;
If you have a static date reference table in your database, you don't need to do the derived table creation and can just do:
select d.DateValue
,<Other columns>
from DatesReferenceTable d
left join <Other Tables> o
on(d.DateValue = o.AnyDateColumn)
etc
Here's another approach that utilizes a tally table (aka numbers table) to create the date table. Note my comments.
-- Build the source data table.
declare #t table(Name nvarchar(10), InsertDate date, Size int);
insert into #t values
('john','20150630',1 )
,('john','20160110',10 )
,('john','20160112',100 )
,('john','20160305',1000)
,('doe' ,'20160101',1 );
-- A year is fine, don't need a date data type
declare #year smallint = 2016;
WITH -- dummy rows for a tally table:
E AS (SELECT E FROM (VALUES (1),(1),(1),(1),(1),(1),(1),(1),(1),(1)) t(e)),
dateRange(totalDays, mn, mx) AS -- Get the range and number of months to create
(
SELECT DATEDIFF(MONTH, MIN(InsertDate), MAX(InsertDate)), MIN(InsertDate), MAX(InsertDate)
FROM #t
),
iTally(N) AS -- Tally Oh! Create an inline Tally (aka numbers) table starting with 0
(
SELECT ROW_NUMBER() OVER (ORDER BY (SELECT 1))-1
FROM E a CROSS JOIN E b CROSS JOIN E c CROSS JOIN E d
),
RunningTotal AS -- perform a running total by year/month for each person (Name)
(
SELECT
yr = YEAR(DATEADD(MONTH, n, mn)),
mo = MONTH(DATEADD(MONTH, n, mn)),
Name,
Size = SUM(Size) OVER
(PARTITION BY Name ORDER BY YEAR(DATEADD(MONTH, n, mn)), MONTH(DATEADD(MONTH, n, mn)))
FROM iTally
CROSS JOIN dateRange
LEFT JOIN #t ON MONTH(InsertDate) = MONTH(DATEADD(MONTH, n, mn))
WHERE N <= totalDays
) -- Final output will only return rows where the year matches #year:
SELECT
name = ISNULL(name, LAG(Name, 1) OVER (ORDER BY yr, mo)),
yr, mo,
size = ISNULL(Size, LAG(Size, 1) OVER (ORDER BY yr, mo))
FROM RunningTotal
WHERE yr = #year
GROUP BY yr, mo, name, size;
Results:
name yr mo size
---------- ----------- ----------- -----------
doe 2016 1 1
john 2016 1 111
john 2016 2 111
john 2016 3 1111
Related
I have a table with records for sales of products.
For the purpose of sales count a product should only be counted one time.
In this scenario a product is sold and reversed several times and we should only consider it in the month with minimum date and rest all the dates should be marked no.
Eample:
Product Month Sales flag
A Jan-01 Y
B Jan-01 Y
A Feb-01 N
C Feb-01 Y
How can I write a select from the table indicating as above. Any help would be appreciated.
Tried and failed.
The trick here is that ordering by "Jan-01", "Feb-01", etc... is tricky because you need to sort numeric values stored as text. This is one of the uses of a calendar table or data dimension. In my solution below I'm creating an on-the-fly date dimension table with "Month-number" you can sort by...
-- Sample data
DECLARE #table TABLE
(
Product CHAR(1) NOT NULL,
Mo CHAR(6) NOT NULL
)
INSERT #table VALUES
('A', 'Jan-01'),
('B', 'Jan-01'),
('A', 'Feb-01'),
('C', 'Feb-01');
-- Solution
SELECT f.Product, f.Mo, [Sales Flag] = CASE f.rnk WHEN 1 THEN 'Y' ELSE 'N' END
FROM
(
SELECT t.Product, i.Mo, rnk = ROW_NUMBER() OVER (PARTITION BY t.Product ORDER BY i.RN)
FROM #table AS t
JOIN
(
SELECT i.RN, Mo = LEFT(DATENAME(MONTH,DATEADD(MONTH, i.RN-1, '20010101')),3)+'-01'
FROM
(
SELECT RN = ROW_NUMBER() OVER (ORDER BY (SELECT 1))
FROM (VALUES(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1)) AS x(x)
) AS i
) AS i ON t.Mo = i.Mo
) AS f;
Returns:
Product Mo Sales Flag
------- ------ ----------
A Jan-01 Y
A Feb-01 N
B Jan-01 Y
C Feb-01 Y
I have two tables which I need to combine as sometimes some dates are found in table A and not in table B and vice versa. My desired result is that for those overlaps on consecutive days be combined.
I'm using PostgreSQL.
Table A
id startdate enddate
--------------------------
101 12/28/2013 12/31/2013
Table B
id startdate enddate
--------------------------
101 12/15/2013 12/15/2013
101 12/16/2013 12/16/2013
101 12/28/2013 12/28/2013
101 12/29/2013 12/31/2013
Desired Result
id startdate enddate
-------------------------
101 12/15/2013 12/16/2013
101 12/28/2013 12/31/2013
Right. I have a query that I think works. It certainly works on the sample records you provided. It uses a recursive CTE.
First, you need to merge the two tables. Next, use a recursive CTE to get the sequences of overlapping dates. Finally, get the start and end dates, and join back to the "merged" table to get the id.
with recursive allrecords as -- this merges the input tables. Add a unique row identifier
(
select *, row_number() over (ORDER BY startdate) as rowid from
(select * from table1
UNION
select * from table2) a
),
path as ( -- the recursive CTE. This gets the sequences
select rowid as parent,rowid,startdate,enddate from allrecords a
union
select p.parent,b.rowid,b.startdate,b.enddate from allrecords b join path p on (p.enddate + interval '1 day')>=b.startdate and p.startdate <= b.startdate
)
SELECT id,g.startdate,g.enddate FROM -- outer query to get the id
-- inner query to get the start and end of each sequence
(select parent,min(startdate) as startdate, max(enddate) as enddate from
(
select *, row_number() OVER (partition by rowid order by parent,startdate) as row_number from path
) a
where row_number = 1 -- We only want the first occurrence of each record
group by parent)g
INNER JOIN allrecords a on a.rowid = parent
The below fragment does what you intend. (but it will probably be very slow) The problem is that detecteng (non)overlapping dateranges is impossible with standard range operators, since a range could be split into two parts.
So, my code does the following:
split the dateranges from table_A into atomic records, with one date per record
[the same for table_b]
cross join these two tables (we are only interested in A_not_in_B, and B_not_in_A) , remembering which of the L/R outer join wings it came from.
re-aggregate the resulting records into date ranges.
-- EXPLAIN ANALYZE
--
WITH RECURSIVE ranges AS (
-- Chop up the a-table into atomic date units
WITH ar AS (
SELECT generate_series(a.startdate,a.enddate , '1day'::interval)::date AS thedate
, 'A'::text AS which
, a.id
FROM a
)
-- Same for the b-table
, br AS (
SELECT generate_series(b.startdate,b.enddate, '1day'::interval)::date AS thedate
, 'B'::text AS which
, b.id
FROM b
)
-- combine the two sets, retaining a_not_in_b plus b_not_in_a
, moments AS (
SELECT COALESCE(ar.id,br.id) AS id
, COALESCE(ar.which, br.which) AS which
, COALESCE(ar.thedate, br.thedate) AS thedate
FROM ar
FULL JOIN br ON br.id = ar.id AND br.thedate = ar.thedate
WHERE ar.id IS NULL OR br.id IS NULL
)
-- use a recursive CTE to re-aggregate the atomic moments into ranges
SELECT m0.id, m0.which
, m0.thedate AS startdate
, m0.thedate AS enddate
FROM moments m0
WHERE NOT EXISTS ( SELECT * FROM moments nx WHERE nx.id = m0.id AND nx.which = m0.which
AND nx.thedate = m0.thedate -1
)
UNION ALL
SELECT rr.id, rr.which
, rr.startdate AS startdate
, m1.thedate AS enddate
FROM ranges rr
JOIN moments m1 ON m1.id = rr.id AND m1.which = rr.which AND m1.thedate = rr.enddate +1
)
SELECT * FROM ranges ra
WHERE NOT EXISTS (SELECT * FROM ranges nx
-- suppress partial subassemblies
WHERE nx.id = ra.id AND nx.which = ra.which
AND nx.startdate = ra.startdate
AND nx.enddate > ra.enddate
)
;
It's kind of hard to explain, but from this example it should be clear.
Table TABLE:
Name State Time
--------------------
A 1 1/4/2012
B 0 1/3/2012
C 0 1/2/2012
D 1 1/1/2012
Would like to
select * from TABLE where state=1 order by Time desc
plus an additional column 'Skipped' containing the number of rows after one where state=1 in state 0, in other words the output should look like this:
Name State Time Skipped
A 1 1/4/2012 2 -- 2 rows after A where State != 1
D 1 1/1/2012 0 -- 0 rows after D where State != 1
0 should also be reported in case of 2 consecutive rows are in state = 1, i.e. there is nothing between these rows in a state other than 1.
It seems like CTE are must here, but can't figure out how to count rows where state != 1.
Any help will be appreciated.
(MS Sql Server 2008)
I've used a CTE to establish RowNo, so that you're not dependent on consecutive dates:
WITH CTE_Rows as
(
select name,state,time,
rowno = ROW_NUMBER() over (order by [time])
from MyTable
)
select name,state,time,
gap = isnull(r.rowno - x.rowno - 1,0)
from
CTE_Rows r
outer apply (
select top 1 rowno
from CTE_Rows sub
where sub.rowno < r.rowno and sub.state = 1
order by sub.rowno desc) x
where r.state = 1
If you just want to do it by date, then its simpler - just need an outer apply:
select name,state,r.time,
gap = convert(int,isnull(r.time - x.time - 1,0))
from
MyTable r
outer apply (
select top 1 time
from MyTable sub
where sub.time < r.time and sub.state = 1
order by sub.time desc) x
where r.state = 1
FYI the test data is used was created as follows:
create table MyTable
(Name char(1), [state] tinyint, [Time] datetime)
insert MyTable
values
('E',1,'2012-01-05'),
('A',1,'2012-01-04'),
('B',0,'2012-01-03'),
('C',0,'2012-01-02'),
('D',1,'2012-01-01')
Okay, here you go (it gets a little messy):
SELECT U.CurrentTime,
(SELECT COUNT(*)
FROM StateTable AS T3
WHERE T3.State=0
AND T3.Time BETWEEN U.LastTime AND U.CurrentTime) AS Skipped
FROM (SELECT T1.Time AS CurrentTime,
(SELECT TOP 1 T2.Time
FROM StateTable AS T2
WHERE T2.Time < T1.Time AND T2.State=1
ORDER BY T2.Time DESC) AS LastTime
FROM StateTable AS T1 WHERE T1.State = 1) AS U
I would like to solve this issue avoiding to use cursors (FETCH).
Here comes the problem...
1st Table/quantity
------------------
periodid periodstart periodend quantity
1 2010/10/01 2010/10/15 5
2st Table/sold items
-----------------------
periodid periodstart periodend solditems
14343 2010/10/05 2010/10/06 2
Now I would like to get the following view or just query result
Table Table/stock
-----------------------
periodstart periodend itemsinstock
2010/10/01 2010/10/04 5
2010/10/05 2010/10/06 3
2010/10/07 2010/10/15 5
It seems impossible to solve this problem without using cursors, or without using single dates instead of periods.
I would appreciate any help.
Thanks
DECLARE #t1 TABLE (periodid INT,periodstart DATE,periodend DATE,quantity INT)
DECLARE #t2 TABLE (periodid INT,periodstart DATE,periodend DATE,solditems INT)
INSERT INTO #t1 VALUES(1,'2010-10-01T00:00:00.000','2010-10-15T00:00:00.000',5)
INSERT INTO #t2 VALUES(14343,'2010-10-05T00:00:00.000','2010-10-06T00:00:00.000',2)
DECLARE #D1 DATE
SELECT #D1 = MIN(P) FROM (SELECT MIN(periodstart) P FROM #t1
UNION ALL
SELECT MIN(periodstart) FROM #t2) D
DECLARE #D2 DATE
SELECT #D2 = MAX(P) FROM (SELECT MAX(periodend) P FROM #t1
UNION ALL
SELECT MAX(periodend) FROM #t2) D
;WITH
L0 AS (SELECT 1 AS c UNION ALL SELECT 1),
L1 AS (SELECT 1 AS c FROM L0 A CROSS JOIN L0 B),
L2 AS (SELECT 1 AS c FROM L1 A CROSS JOIN L1 B),
L3 AS (SELECT 1 AS c FROM L2 A CROSS JOIN L2 B),
L4 AS (SELECT 1 AS c FROM L3 A CROSS JOIN L3 B),
Nums AS (SELECT ROW_NUMBER() OVER (ORDER BY (SELECT 0)) AS i FROM L4),
Dates AS(SELECT DATEADD(DAY,i-1,#D1) AS D FROM Nums where i <= 1+DATEDIFF(DAY,#D1,#D2)) ,
Stock As (
SELECT D ,t1.quantity - ISNULL(t2.solditems,0) AS itemsinstock
FROM Dates
LEFT OUTER JOIN #t1 t1 ON t1.periodend >= D and t1.periodstart <= D
LEFT OUTER JOIN #t2 t2 ON t2.periodend >= D and t2.periodstart <= D ),
NStock As (
select D,itemsinstock, ROW_NUMBER() over (order by D) - ROW_NUMBER() over (partition by itemsinstock order by D) AS G
from Stock)
SELECT MIN(D) AS periodstart, MAX(D) AS periodend, itemsinstock
FROM NStock
GROUP BY G, itemsinstock
ORDER BY periodstart
Hopefully a little easier to read than Martin's. I used different tables and sample data, hopefully extrapolating the right info:
CREATE TABLE [dbo].[Quantity](
[PeriodStart] [date] NOT NULL,
[PeriodEnd] [date] NOT NULL,
[Quantity] [int] NOT NULL
) ON [PRIMARY]
CREATE TABLE [dbo].[SoldItems](
[PeriodStart] [date] NOT NULL,
[PeriodEnd] [date] NOT NULL,
[SoldItems] [int] NOT NULL
) ON [PRIMARY]
INSERT INTO Quantity (PeriodStart,PeriodEnd,Quantity)
SELECT '20100101','20100115',5
INSERT INTO SoldItems (PeriodStart,PeriodEnd,SoldItems)
SELECT '20100105','20100107',2 union all
SELECT '20100106','20100108',1
The actual query is now:
;WITH Dates as (
select PeriodStart as DateVal from SoldItems union select PeriodEnd from SoldItems union select PeriodStart from Quantity union select PeriodEnd from Quantity
), Periods as (
select d1.DateVal as StartDate, d2.DateVal as EndDate
from Dates d1 inner join Dates d2 on d1.DateVal < d2.DateVal left join Dates d3 on d1.DateVal < d3.DateVal and d3.DateVal < d2.DateVal where d3.DateVal is null
), QuantitiesSold as (
select StartDate,EndDate,COALESCE(SUM(si.SoldItems),0) as Quantity
from Periods p left join SoldItems si on p.StartDate < si.PeriodEnd and si.PeriodStart < p.EndDate
group by StartDate,EndDate
)
select StartDate,EndDate,q.Quantity - qs.Quantity
from QuantitiesSold qs inner join Quantity q on qs.StartDate < q.PeriodEnd and q.PeriodStart < qs.EndDate
And the result is:
StartDate EndDate (No column name)
2010-01-01 2010-01-05 5
2010-01-05 2010-01-06 3
2010-01-06 2010-01-07 2
2010-01-07 2010-01-08 4
2010-01-08 2010-01-15 5
Explanation: I'm using three Common Table Expressions. The first (Dates) is gathering all of the dates that we're talking about, from the two tables involved. The second (Periods) selects consecutive values from the Dates CTE. And the third (QuantitiesSold) then finds items in the SoldItems table that overlap these periods, and adds their totals together. All that remains in the outer select is to subtract these quantities from the total quantity stored in the Quantity Table
John, what you could do is a WHILE loop. Declare and initialise 2 variables before your loop, one being the start date and the other being end date. Your loop would then look like this:
WHILE(#StartEnd <= #EndDate)
BEGIN
--processing goes here
SET #StartEnd = #StartEnd + 1
END
You would need to store your period definitions in another table, so you could retrieve those and output rows when required to a temporary table.
Let me know if you need any more detailed examples, or if I've got the wrong end of the stick!
Damien,
I am trying to fully understand your solution and test it on a large scale of data, but I receive following errors for your code.
Msg 102, Level 15, State 1, Line 20
Incorrect syntax near 'Dates'.
Msg 102, Level 15, State 1, Line 22
Incorrect syntax near ','.
Msg 102, Level 15, State 1, Line 25
Incorrect syntax near ','.
Damien,
Based on your solution I also wanted to get a neat display for StockItems without overlapping dates. How about this solution?
CREATE TABLE [dbo].[SoldItems](
[PeriodStart] [datetime] NOT NULL,
[PeriodEnd] [datetime] NOT NULL,
[SoldItems] [int] NOT NULL
) ON [PRIMARY]
INSERT INTO SoldItems (PeriodStart,PeriodEnd,SoldItems)
SELECT '20100105','20100106',2 union all
SELECT '20100105','20100108',3 union all
SELECT '20100115','20100116',1 union all
SELECT '20100101','20100120',10
;WITH Dates as (
select PeriodStart as DateVal from SoldItems
union
select PeriodEnd from SoldItems
union
select PeriodStart from Quantity
union
select PeriodEnd from Quantity
), Periods as (
select d1.DateVal as StartDate, d2.DateVal as EndDate
from Dates d1
inner join Dates d2 on d1.DateVal < d2.DateVal
left join Dates d3 on d1.DateVal < d3.DateVal and
d3.DateVal < d2.DateVal where d3.DateVal is null
), QuantitiesSold as (
select StartDate,EndDate,SUM(si.SoldItems) as Quantity
from Periods p left join SoldItems si on p.StartDate < si.PeriodEnd and si.PeriodStart < p.EndDate
group by StartDate,EndDate
)
select StartDate,EndDate, qs.Quantity
from QuantitiesSold qs
where qs.quantity is not null
My table is like
ID FName LName Date(mm/dd/yy) Sequence Value
101 A B 1/10/2010 1 10
101 A B 1/10/2010 2 20
101 X Y 1/2/2010 1 15
101 Z X 1/3/2010 5 10
102 A B 1/10/2010 2 10
102 X Y 1/2/2010 1 15
102 Z X 1/3/2010 5 10
I need a query that should return 2 records
101 A B 1/10/2010 2 20
102 A B 1/10/2010 2 10
that is max of date and max of sequence group by id.
Could anyone assist on this.
-----------------------
-- get me my rows...
-----------------------
select * from myTable t
-----------------------
-- limiting them...
-----------------------
inner join
----------------------------------
-- ...by joining to a subselection
----------------------------------
(select m.id, m.date, max(m.sequence) as max_seq from myTable m inner join
----------------------------------------------------
-- first group on id and date to get max-date-per-id
----------------------------------------------------
(select id, max(date) as date from myTable group by id) y
on m.id = y.id and m.date = y.date
group by id) x
on t.id = x.id
and t.sequence = x.max_seq
Would be a simple solution, which does not take account of ties, nor of rows where sequence is NULL.
EDIT: I've added an extra group to first select max-date-per-id, and then join on this to get max-sequence-per-max-date-per-id before joining to the main table to get all columns.
I have considered your table name as employee..
check the below thing helped you.
select * from employee emp1
join (select Id, max(Date) as dat, max(sequence) as seq from employee group by id) emp2
on emp1.id = emp2.id and emp1.sequence = emp2.seq and emp1.date = emp2.dat
I'm a fan of using the WITH clause in SELECT statements to organize the different steps. I find that it makes the code easier to read.
WITH max_date(max_date)
AS (
SELECT MAX(Date)
FROM my_table
),
max_seq(max_seq)
AS (
SELECT MAX(Sequence)
FROM my_table
WHERE Date = (SELECT md.max_date FROM max_date md)
)
SELECT *
FROM my_table
WHERE Date = (SELECT md.max_date FROM max_date md)
AND Sequence = (SELECT ms.max_seq FROM max_seq ms);
You should be able to optimize this further as needed.