Given the following table
time kind counter key1 value
----------------------------------------
1 1 1 1 1
2 0 1 1 2
3 0 1 2 3
5 0 1 1 4
5 1 2 2 5
6 0 2 3 6
7 0 2 2 7
8 1 3 3 8
9 1 4 3 9
How would one select the value in the first row
immediately after and immediately before each
row of kind 1 ordered by time where the key1
value is the same in both instances .i.e:
time value prevvalue nextvalue
---------------------------------------------
1 1 0n 2
5 5 3 7
8 8 6 0n
9 9 6 0n
Here are some of the things I have tried, though
to be honest I have no idea how to canonically achieve
something like this in q whereby the prior value has a
variable offset to the current row?
select
prev[value],
next[value],
by key1 where kind<>1
update 0N^prevval,0N^nextval from update prevval:prev value1,nextval:next value1 by key1 from table
Some advice or a pointer on how to achieve this would be great!
Thanks
I was able to use the following code to return a table meeting your requirements. If this is correct, the sample table you have provided is incorrect, otherwise I have misunderstood the question.
q)table:([] time:1 2 3 5 5 6 7 8 9;kind:1 0 0 0 1 0 0 1 1;counter:1 1 1 1 2 2 2 3 4;key1:1 1 2 1 2 3 2 3 3;value1:1 2 3 4 5 6 7 8 9)
q)tab2:update 0N^prevval,0N^nextval from update prevval:prev value1,nextval:next value1 by key1 from table
q)tab3:select from tab2 where kind=1
time value1 prevval nextval
---------------------------
1 1 2
5 5 3 7
8 8 6 9
9 9 8
The update statement in tab2:
update 0N^prevval,0N^nextval from update prevval:prev value1,nextval:next value1 by key1 from table
is simply adding 2 columns onto the original table with the previous and next values for each row. 0^ is filling the empty fields with nulls.
The select statement in tab3:
tab3:select from tab2 where kind=1
is filtering tab2 for rows where kind=1.
The final select statement:
select time,value1,prevval,nextval from tab3
is selecting the rows you want to be returned in the final result.
Hope this answers your question.
Thanks,
Caitlin
i have this table in postgresql database
id name time
1 poi 2018-05-13 08:45:48.846887
2 poi 2018-05-13 08:11:04.671437
3 roik 2018-05-14 16:32:04.671437
4 ceil 2018-05-14 17:38:04.671437
5 verk 2018-05-14 19:46:04.671437
6 roik 2018-05-16 08:21:04.671437
7 poi 2018-05-16 11:00:04.671437
8 roik 2018-05-18 14:40:08.671437
9 roik 2018-05-18 17:21:09.671664
10 verk 2018-05-13 08:46:04.671437
11 sant ...
12 sant ...
13 dmk ...
14 roik ...
15 poi ...
... .... ...
I want to have such a table:
name 2018-5-1 2018-5-2 2018-5-3 2018-5-4 2018-5-5 2018-5-6 2018-5-7 2018-5-8 2018-5-9 2018-5-10 2018-5-11 2018-5-12 2018-5-13 2018-5-14 ...
poi 0 3 3 7
roik 0 4 2 1
verk 0 2 0 9
sant 1 0 8 2
dmk 0 3 ...
...
These numbers represent the number of repetitions of each person for each particular day
how can i do this??thank you in advance
This is not exactly what you want but very similar to. You just need to translate "date" colun values to a columns itself, but you can easily do it on client after you queried the dates you need.
https://www.db-fiddle.com/f/7r4AG9MV9zeZEjoU77fCfk/2
SELECT Test.name, SUM(CASE WHEN date(Test.time) = dates.date THEN 1 ELSE 0 END), dates.date FROM Test CROSS JOIN
(SELECT DISTINCT(date(time)) as date FROM Test) as dates
GROUP BY Test.name, dates.date
I have my data that looks like this:
user_id touchpoint_number days_difference
1 1 5
1 2 20
1 3 25
1 4 10
2 1 2
2 2 30
2 3 4
I would like to create one more column that would create a cumulative sum of the days_difference, partitioned by user_id, but would reset whenever the value reaches 30 and starts counting from 0. I have been trying to do it, but I couldn't figure it out how to do it in PostgreSQL, because it has to be recursive.
The outcome I would like to have would be something like:
user_id touchpoint_number days_difference cum_sum_upto30
1 1 5 5
1 2 20 25
1 3 25 0 --- new count all over again
1 4 10 10
2 1 2 2
2 2 30 0 --- new count all over again
2 3 4 4
Do you have any cool ideas how this could be done?
This should do what you want:
with cte as (
select t.a, t.b, t.c, t.c as sumc
from t
where b = 1
union all
select t.a, t.b, t.c,
(case when t.c + cte.sumc > 30 then 0 else t.c + cte.sumc end)
from t join
cte
on t.b = cte.b + 1 and t.a = cte.a
)
select *
from cte
order by a, b;
Here is a rextester.
TSQL MSSQL 2008r2
I'm re-writing the question to try and make it clear what the issue is that I'm trying to explain.
I've got a stored proc that takes 3 parameters. VehicleKey, StartDate and EndDateTime. I'm querying a Data Warehouse db. So the data shouldn't change.
When the proc is called with the same parameters then most of the time the results will be as expected but on some random occasions, with those same parameters, the results differ. I'm querying a Data WH so the data doesn't change.
The problem is with the dynamic derived column "Island".
It's completely random. The proc can be executed 20 times and give the expected results and then the next 2 will give incorrect results.
There can be 1 or more VehicleKey/DriverKey combinations in a given date range.
This is the problem query
SELECT
A.VehicleKey
,A.NodeId
,A.DriverKey
,MIN(A.StartTrip) 'StartTrip'
,MAX(A.EndTrip) 'EndTrip'
,SUM(A.PrivOdo) 'Private'
,SUM(A.BusOdo) 'Business'
,SUM(A.TravOdo) 'Travel'
,SUM(A.PrivOdo + A.BusOdo + A.TravOdo )'Total'
FROM
(
SELECT
Island = ( ROW_NUMBER() OVER (PARTITION BY T.VehicleKey ORDER BY MONTH(StartTrip)) ) - ( ROW_NUMBER() OVER (PARTITION BY T.VehicleKey, T.DriverKey ORDER BY T.StartTrip) )
,NodeId
,VehicleKey
,DriverKey
,StartTrip
,EndTrip
,BusOdo
,PrivOdo
,TravOdo
FROM
#xYTD_BPTotals T
) AS A
GROUP BY
A.Island
,A.VehicleKey
,A.NodeId
,A.DriverKey
ORDER BY
A.VehicleKey
,MIN(A.StartTrip);
I am of the understanding that the ORDER BY should be on the outside of the derived table for it to take effect.
I think I've narrowed it down to the issue presenting itself only when a Vehicle has 2 or more DriverKey combinations.
for example, Parameters VehicleKey 4865, StartDateTime = '2016-01-01', EndDateTime = '2016-10-31'
This is the correct result - including Island column
VehicleKey NodeId DriverKey Island StartTrip EndTrip Private Business Travel Total_
4865 458 0 0 2016-09-06 14:06:08 2016-09-28 17:02:08 54.75 737.83 0 792.58
4865 458 1202 134 2016-09-29 11:10:04 2016-09-30 17:25:51 0 211.32 0 211.32
4865 458 0 27 2016-10-03 07:39:25 2016-10-14 17:00:15 0 579.81 0 579.81
and this is when it's wrong. Parameters VehicleKey 4865, StartDateTime = '2016-01-01', EndDateTime = '2016-10-31'
- including Island column
The first two rows here should be combined.
VehicleKey NodeId DriverKey Island StartTrip EndTrip Private Business Travel Total_
4865 458 0 98 2016-09-06 14:06:08 2016-09-21 09:15:49 0 313.87 0 313.87
4865 458 0 -63 2016-09-21 09:21:10 2016-09-28 17:02:08 54.75 423.96 0 478.71
4865 458 1202 71 2016-09-29 11:10:04 2016-09-30 17:25:51 0 211.32 0 211.32
4865 458 0 27 2016-10-03 07:39:25 2016-10-14 17:00:15 0 579.81 0 579.81
If I show the first few rows from the derived table, I've broken down the "Island" column
SELECT
Island = ( ROW_NUMBER() OVER (PARTITION BY T.VehicleKey ORDER BY MONTH(StartTrip)) ) - ( ROW_NUMBER() OVER (PARTITION BY T.VehicleKey, T.DriverKey ORDER BY T.StartTrip) )
,Island_x =( ROW_NUMBER() OVER (PARTITION BY T.VehicleKey ORDER BY MONTH(StartTrip)) )
,Island_y = ( ROW_NUMBER() OVER (PARTITION BY T.VehicleKey, T.DriverKey ORDER BY T.StartTrip) )
,NodeId
,VehicleKey
,DriverKey
,StartTrip
,EndTrip
,BusOdo
,PrivOdo
,TravOdo
FROM
#xYTD_BPTotals T
The correct result should be
Island Island_x Island_y NodeId VehicleKey DriverKey StartTrip EndTrip BusOdo PrivOdo TravOdo
0 1 1 24901 4865 0 2016-09-06 14:06:08 2016-09-06 14:08:50 0 0 0
0 2 2 24901 4865 0 2016-09-06 15:39:14 2016-09-06 15:40:53 114 0 0
0 3 3 24901 4865 0 2016-09-08 11:06:43 2016-09-08 11:07:23 0 0 0
0 4 4 24901 4865 0 2016-09-08 11:12:03 2016-09-08 11:12:26 20 0 0
0 5 5 24901 4865 0 2016-09-08 11:19:20 2016-09-08 11:19:52 1 0 0
0 6 6 24901 4865 0 2016-09-08 11:26:58 2016-09-08 11:27:56 88 0 0
0 7 7 24901 4865 0 2016-09-08 11:33:40 2016-09-08 11:35:02 1 0 0
0 8 8 24901 4865 0 2016-09-12 09:08:53 2016-09-12 09:10:42 34 0 0
but I sometimes get this with the same input paramaters.
Island Island_x Island_y NodeId VehicleKey DriverKey StartTrip EndTrip BusOdo PrivOdo TravOdo
98 1 1 24901 4865 0 2016-09-06 14:06:08 2016-09-06 14:08:50 0 0 0
98 2 2 24901 4865 0 2016-09-06 15:39:14 2016-09-06 15:40:53 114 0 0
98 3 3 24901 4865 0 2016-09-08 11:06:43 2016-09-08 11:07:23 0 0 0
98 4 4 24901 4865 0 2016-09-08 11:12:03 2016-09-08 11:12:26 20 0 0
98 5 5 24901 4865 0 2016-09-08 11:19:20 2016-09-08 11:19:52 1 0 0
98 6 6 24901 4865 0 2016-09-08 11:26:58 2016-09-08 11:27:56 88 0 0
98 7 7 24901 4865 0 2016-09-08 11:33:40 2016-09-08 11:35:02 1 0 0
98 8 8 24901 4865 0 2016-09-12 09:08:53 2016-09-12 09:10:42 34 0 0
Why is the "Island" calculated column wrong? 1-1 = 0 not 98.
Where am I going wrong?
EDIT - #YourData now looks like your raw table
Declare #YourTable table (VehicleKey int,NodeId int,DriverKey int,StartTrip datetime,EndTrip datetime,PrivOdo decimal(10,2),BusOdo decimal(10,2), TravOdo decimal(10,2))
Insert Into #YourTable values
(4865,458,0 ,'2016-09-06 14:06:08','2016-09-21 09:15:49',0 ,313.87,0),
(4865,458,0 ,'2016-09-21 09:21:10','2016-09-28 17:02:08',54.75,423.96,0),
(4865,458,1202,'2016-09-29 11:10:04','2016-09-30 17:25:51',0 ,211.32,0),
(4865,458,0 ,'2016-10-03 07:39:25','2016-10-14 17:00:15',0 ,579.81,0)
Select VehicleKey
,NodeID
,VehicleKey
,DriverKey
,StartTrip = min(StartTrip)
,EndTrip = max(EndTrip)
,Private = sum(PrivOdo)
,Business = sum(BusOdo)
,Travel = sum(TravOdo)
,Total = sum(PrivOdo + BusOdo + TravOdo )
From (
Select Island = ( ROW_NUMBER() OVER (PARTITION BY VehicleKey ORDER BY MONTH(StartTrip)) ) - ( ROW_NUMBER() OVER (PARTITION BY VehicleKey, DriverKey ORDER BY StartTrip) )
,*
From #YourTable
) A
Group By Island,VehicleKey,NodeID,VehicleKey,DriverKey
Order By min(StartTrip)
Returns
FYI - The sub-query produces
Recently i needed to implement a way to allow for Table Records to be Ranked.
Initially i deployed an Update statement to seed the ranks:
;with cte as (
select
t.id,
Rank() Over (
Partition by t.field2
Order by t.id
) as [Rank],
t.index,
t.field2,
t.field3 ,
t.field4
from dbo.Table t
where t.field2 = #fldValue
) Update cte
set index = [Rank]
But now i need to be able to have the end-user re-order the ranks. Any suggestions on how to allow an end-user to take Rank value 92 to Rank value 15 and have everything be re-ranked appropriately.
I had thought about doing this via cursor but am trying to do this via Set based operation.
My first goto was to do a Procedural based operation but need to get more inline with Set based operation.
Table Schema
Table:
id bigint
field2 int
field3 int ---> This field will be the key pivoting column for ranking
field4 int
Data:
id field2 field3 field4
1 0 1 1
2 0 1 1
3 0 1 1
4 0 1 2
5 0 1 2
6 0 1 1
7 0 1 1
8 0 1 1
9 0 1 1
10 0 1 2
11 0 1 2
12 0 1 1
13 0 1 1
14 0 1 1
15 0 1 2
16 0 1 1
17 0 1 2
18 0 1 2
19 0 1 1