I have a table looks like,
x y
1 2
2 null
3 null
1 null
11 null
I want to fill the null value by conducting a rolling
function to apply y_{i+1}=y_{i}+x_{i+1} with sql as simple as possible (inplace)
so the expected result
x y
1 2
2 4
3 7
1 8
11 19
implement in postgresql. I may encapsulate it in a window function, but the implementation of custom function seems always complex
WITH RECURSIVE t AS (
select x, y, 1 as rank from my_table where y is not null
UNION ALL
SELECT A.x, A.x+ t.y y , t.rank + 1 rank FROM t
inner join
(select row_number() over () rank, x, y from my_table ) A
on t.rank+1 = A.rank
)
SELECT x,y FROM t;
You can iterate over rows using a recursive CTE. But in order to do so, you need a way to jump from row to row. Here's an example using an ID column:
; with recursive cte as
(
select id
, y
from Table1
where id = 1
union all
select cur.id
, prev.y + cur.x
from Table1 cur
join cte prev
on cur.id = prev.id + 1
)
select *
from cte
;
You can see the query at SQL Fiddle. If you don't have an ID column, but you do have another way to order the rows, you can use row_number() to get an ID:
; with recursive sorted as
(
-- Specify your ordering here. This example sorts by the dt column.
select row_number() over (order by dt) as id
, *
from Table1
)
, cte as
(
select id
, y
from sorted
where id = 1
union all
select cur.id
, prev.y + cur.x
from sorted cur
join cte prev
on cur.id = prev.id + 1
)
select *
from cte
;
Here's the SQL Fiddle link.
Related
I have a data frame like this one given below. Essentially it is a time series derived data frame.
My issue is that the Formula for n-th Row Col C is :-
Col(C) = (Col A(nth row) - Col A(n-1 th row)) + Col C(n-1)th row.
Hence Calculation of Col C is self referencing a previous value of Col C. I am using spark sql, can some one please advise how to proceed with this? For the calculation of Col A I am using LAG function
It seems colC is just colA minus colA in the first row.
e.g.
1 = 6-5,
0 = 5-5,
2 = 7-5,
3 = 8-5,
-2 = 3-5
So this query should work:
SELECT colA, colA - FIRST(colA) OVER (ORDER BY id) AS colC
Your formula is a cumulative sum. Here is a complete example:
SELECT rowid, a, SUM(c0) OVER(ORDER BY rowid) as c
FROM
(
SELECT rowid, a, a - LAG(a, 1) OVER(ORDER BY rowid) as c0
FROM
(
SELECT 1 as rowid, 5 as a union all
SELECT 2 as rowid, 6 as a union all
SELECT 3 as rowid, 5 as a union all
SELECT 4 as rowid, 7 as a union all
SELECT 5 as rowid, 8 as a union all
SELECT 6 as rowid, 3 as a
)t
)t
I have a column in a postgres database which logs search querystrings for a page on our website.
The column contains data like
"a=2&b=4"
"a=2,3"
"b=4&a=3"
"a=4&a=3"
I'd like to work out the frequency of each value for a certain parameter (a).
value | freq
------|------
3 | 3
2 | 2
4 | 1
Anyway to do this in a single SQL statement?
Something like this:
with all_values as (
select string_to_array(split_part(parameter, '=', 2), ',') as query_params
from the_table d,
unnest(string_to_array(d.querystring, '&')) as x(parameter)
where x.parameter like 'a%'
)
select t.value, count(*)
from all_values av, unnest(av.query_params) as t(value)
group by t.value
order by t.value;
Online example: http://rextester.com/OXM67442
try something like this :
select data_value,count(*) from (
select data_name,unnest(string_to_array(data_values,',')) data_value from (
select split_part(data_array,'=',1) data_name ,split_part(data_array,'=',2) data_values from (
select unnest(string_to_array(mydata,'&')) data_array from mytable
) a
) b
) c where data_name='a' group by 1 order by 1
Assuming tha table that keeps the counts is called paramcount:
WITH vals(v) AS
(SELECT regexp_replace(p, '^.*=', '')
FROM regexp_split_to_table(
'b=4&a=3,2',
'&|,'
) p(p)
)
INSERT INTO paramcount (value, freq)
SELECT v, 1 FROM vals
ON CONFLICT (value)
DO UPDATE SET freq = paramcount.freq + 1
WHERE paramcount.value = EXCLUDED.value;
get csv integer after 'a='
split that to numbers
stat values
select v, count(*) from (
SELECT c,unnest(string_to_array(unnest(regexp_matches(c,'a=([0-9,]+)','g')),',')) as v FROM qrs
) x group by v;
Parametrize:
WITH argname(aname) as (values ('a'::TEXT))
select v, count(*) from (SELECT c,unnest(string_to_array(unnest(regexp_matches(c,aname||'=([0-9,]+)','g')),',')) as v FROM qrs,argname) x group by v;
I am wondering if there is some easy way, a function, or other method to return data from a query with the following results.
I have a SQL Express DB 2008 R2, a table that contains numerical data in a given column, say col T.
I am given a value X in code and would like to return up to three records. The record where col T equals my value X, and the record before and after, and nothing else. The sort is done on col T. The record before may be beginning of file and therefore not exist, likewise, if X equals the last record then the record after would be non existent, end of file/table.
The value of X may not exist in the table.
This I think is similar to get a range of results in numerical order.
Any help or direction in solving this would be greatly appreciated.
Thanks again,
It might not be the most optimal solution, but:
SELECT T
FROM theTable
WHERE T = X
UNION ALL
SELECT *
FROM
(
SELECT TOP 1 T
FROM theTable
WHERE T > X
ORDER BY T
) blah
UNION ALL
SELECT *
FROM
(
SELECT TOP 1 T
FROM theTable
WHERE T < X
ORDER BY T DESC
) blah2
DECLARE #x int = 100
;WITH t as
(
select ROW_NUMBER() OVER (ORDER BY T ASC) AS row_nm,*
from YourTable
)
, t1 as
(
select *
from t
WHERE T = #x
)
select *
from t
CROSS APPLY t1
WHERE t.row_nm BETWEEN t1.row_nm -1 and t1.row_nm + 1
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