I need to find the difference between two consecutive rows but different column. I have written a query as follows
select ticketid,createddate,expirydate ,TIMESTAMP_DIFF(
timestamp_seconds(expirytimestamp),
timestamp_seconds(
lag(createdtimestamp) over (partition by ticketid order by ticketid)
),
Minute
) AS result from table
Expected result
TicketID createdtimestamp Expirytimestamp created date Expirydate Expected result in minutes
121 1574170201 1574328843 2019-12-01 1:25:05 2019-12-01 7:24:53 NULL
121 1574170202 1574372109 2019-12-01 2:55:02 2019-12-01 8:54:50 300
121 1574256733 1574415375 2019-12-01 4:24:59 2019-12-01 10:24:47 240
121 1574285577 1574458641 2019-12-01 5:54:56 2019-12-01 11:54:44 300
121 1574328843 1574501907 2019-12-01 7:24:53 2019-12-01 13:24:41 240
121 1574372109 1574545173 2019-12-01 8:54:50 2019-12-01 14:54:38 300
121 1574415375 1574588439 2019-12-01 10:24:47 2019-12-01 16:24:35 240
Could any one suggest. It's not giving the desired result.
Data Not found this Query
Here is the actual result I got
TicketID createdtimestamp Expirytimestamp created date Expirydate Expected result in minutes
121 1574170200 1574170680 2019-11-19 13:30:00 2019-11-19 13:38:00 null
121 1574170201 1574173801 2019-11-19 13:30:01 2019-11-19 14:30:01 60
121 1574170201 1574173801 2019-11-19 13:30:01 2019-11-19 14:30:01 60
121 1574170201 1574173801 2019-11-19 13:30:01 2019-11-19 14:30:01 60
121 1574170202 1574170512 2019-11-19 13:30:02 2019-11-19 13:35:12 5
121 1574170202 1574170512 2019-11-19 13:30:02 2019-11-19 13:35:12 5
121 1574170202 1574170902 2019-11-19 13:30:02 2019-11-19 13:41:42 11
121 1574256733 1574257433 2019-11-20 13:32:13 2019-11-20 13:43:53 1453
121 1574343249 1574343949 2019-11-21 13:34:09 2019-11-21 13:45:49 1453
121 1574429680 1574430380 2019-11-22 13:34:40 2019-11-22 13:46:20 1452
121 1574516458 1574517158 2019-11-23 13:40:58 2019-11-23 13:52:38 1457
This is putting things in an arbitrary order:
lag(createdtimestamp) over (partition by ticketid order by ticketid)
I think you want:
lag(createdtimestamp) over (partition by ticketid order by createdtimestamp)
Note the difference in the order by.
Related
How can I apply weights from a one table to another [Port] where the weight table has sparse dates?
[Port] table
utcDT UsdPnl
-----------------------------------------------
2012-03-09 00:00:00.000 -0.00581815226439161
2012-03-11 00:00:00.000 -0.000535272460588547
2012-03-12 00:00:00.000 -0.00353079778650661
2012-03-13 00:00:00.000 0.00232882689252497
2012-03-14 00:00:00.000 -0.0102592811199384
2012-03-15 00:00:00.000 0.00254451559598693
2012-03-16 00:00:00.000 0.0146718613139845
2012-03-18 00:00:00.000 0.000425144543842752
2012-03-19 00:00:00.000 -0.00388548271428044
2012-03-20 00:00:00.000 -0.00662423680184768
2012-03-21 00:00:00.000 0.00405506208635343
2012-03-22 00:00:00.000 -0.000814822806982203
2012-03-23 00:00:00.000 -0.00289523953346103
2012-03-25 00:00:00.000 0.00204150859774465
2012-03-26 00:00:00.000 -0.00641635182718787
2012-03-27 00:00:00.000 -0.00107168420738448
2012-03-28 00:00:00.000 0.00131000520696153
2012-03-29 00:00:00.000 0.0008223678402638
2012-03-30 00:00:00.000 -0.00255345945390133
2012-04-01 00:00:00.000 -0.00337792814650089
[Weights] table
utcDT Weight
--------------------------------
2012-03-09 00:00:00.000 1
2012-03-20 00:00:00.000 3
2012-03-29 00:00:00.000 7
So, I want to use the weights as if I had a full table like this below. i.e. change to new weight on first day it appears in [Weights] table:
utcDT UsedWeight
----------------------------------
2012-03-09 00:00:00.000 1
2012-03-11 00:00:00.000 1
2012-03-12 00:00:00.000 1
2012-03-13 00:00:00.000 1
2012-03-14 00:00:00.000 1
2012-03-15 00:00:00.000 1
2012-03-16 00:00:00.000 1
2012-03-18 00:00:00.000 1
2012-03-19 00:00:00.000 1
2012-03-20 00:00:00.000 3
2012-03-21 00:00:00.000 3
2012-03-22 00:00:00.000 3
2012-03-23 00:00:00.000 3
2012-03-25 00:00:00.000 3
2012-03-26 00:00:00.000 3
2012-03-27 00:00:00.000 3
2012-03-28 00:00:00.000 3
2012-03-29 00:00:00.000 7
2012-03-30 00:00:00.000 7
2012-04-01 00:00:00.000 7
You can use apply:
select p.*, w.*
from port p outer apply
(select top (1) w.*
from weights w
where w.utcDT <= p.utcDT
order by w.utcDT desc
) w;
outer apply is usually pretty efficient, if you have the right indexes. In this case, the right inex is on weights(utcDT desc).
You can use lead() in a subquery to associate the next date a weight changes to each weights record, and then join with port using an inequality condition on the dates:
select p.utcDt, w.weight
from port p
inner join (
select utcDt, weight, lead(utcDt) over(order by utcDt) lead_utcDt from weights
) w
on p.utcDt >= w.utcDt
and (w.lead_utcDt is null or p.utcDt < w.lead_utcDt)
I am using an old SQL Server 2000.
Here is some sample data:
ROOMDATE rate bus_id quantity
2018-09-21 00:00:00.000 129 346686 2
2018-09-21 00:00:00.000 162 354247 36
2018-09-21 00:00:00.000 159 382897 150
2018-09-21 00:00:00.000 120 556111 25
2018-09-22 00:00:00.000 129 346686 8
2018-09-22 00:00:00.000 162 354247 86
2018-09-22 00:00:00.000 159 382897 150
2018-09-22 00:00:00.000 120 556111 25
2018-09-23 00:00:00.000 129 346686 23
2018-09-23 00:00:00.000 162 354247 146
2018-09-23 00:00:00.000 159 382897 9
2018-09-23 00:00:00.000 94 570135 23
Essentially what I am wanting is the MAX quantity of each day with it's corresponding rate and bus_id.
For example, I would want the following rows from my sample data above:
ROOMDATE rate bus_id quantity
2018-09-21 00:00:00.000 159 382897 150
2018-09-22 00:00:00.000 159 382897 150
2018-09-23 00:00:00.000 162 354247 146
From what I have read, SQL Server 2000 did not support ROW_NUMBER. But we can phrase your query using a subquery which finds the max quantity for each day:
SELECT t1.*
FROM yourTable t1
INNER JOIN
(
SELECT
CONVERT(char(10), ROOMDATE, 120) AS ROOMDATE,
MAX(quantity) AS max_quantity
FROM yourTable
GROUP BY CONVERT(char(10), ROOMDATE, 120)
) t2
ON CONVERT(char(10), t1.ROOMDATE, 120) = t2.ROOMDATE AND
t1.quantity = t2.max_quantity
ORDER BY
t1.ROOMDATE;
Demo
I have the following SQL Server query problem.
If there is a row where Issue_DATE = as Maturity_Date in another row, and if both rows have the same ID and Amount USD, then none of these rows should be displayed.
Here is a simplified version of my table:
ID ISSUE_DATE MATURITY_DATE AMOUNT_USD
1 2010-01-01 00:00:00.000 2015-12-01 00:00:00.000 5000
1 2010-01-01 00:00:00.000 2001-09-19 00:00:00.000 700
2 2014-04-09 00:00:00.000 2019-04-09 00:00:00.000 400
1 2015-12-01 00:00:00.000 2016-12-31 00:00:00.000 5000
5 2015-02-24 00:00:00.000 2015-02-24 00:00:00.000 8000
4 2012-11-29 00:00:00.000 2015-11-29 00:00:00.000 10000
3 2015-01-21 00:00:00.000 2018-01-21 00:00:00.000 17500
2 2015-02-02 00:00:00.000 2015-12-05 00:00:00.000 12000
1 2015-01-12 00:00:00.000 2018-01-12 00:00:00.000 18000
2 2015-12-05 00:00:00.000 2016-01-10 00:00:00.000 12000
Result should be:
ID ISSUE_DATE MATURITY_DATE AMOUNT_USD
1 2010-01-01 00:00:00.000 2001-09-19 00:00:00.000 700
2 2014-04-09 00:00:00.000 2019-04-09 00:00:00.000 400
5 2015-02-24 00:00:00.000 2015-02-24 00:00:00.000 8000
4 2012-11-29 00:00:00.000 2015-11-29 00:00:00.000 10000
3 2015-01-21 00:00:00.000 2018-01-21 00:00:00.000 17500
1 2015-01-12 00:00:00.000 2018-01-12 00:00:00.000 18000
I tried with self join, but I do not get right result.
Thanks in advance!
Can you try something like this? 'not exists' is the way of doing it.
select * from table t1 where not exists (select 'x' from table t2 where t1.issue_date = t2.maturity_date and t1.amount_usd=t2.amount_usd and t1.id = t2.id)
I'd think about making subquery of all the dupes and then eliminating them from the first table like so:
select t1.ID
, t1.ISSUE_DATE
, t1.MATURITY_DATE
, t1.AMOUNT_USD
FROM
t1
LEFT JOIN
(select a.ID
, a.ISSUE_DATE
, a.MATURITY_DATE
, a.AMOUNT_USD
FROM
t1 a
INNER JOIN
ti b
) dupes
on
t1.ID = dupes.ID
WHERE dupes.ID IS NULL;
I have a table that contains Id, Date and a float value as below:
ID startDt Days
1328 2015-04-01 00:00:00.000 15
2444 2015-04-03 00:00:00.000 5.7
1658 2015-05-08 00:00:00.000 6
1329 2015-05-12 00:00:00.000 28.5
1849 2015-06-23 00:00:00.000 28.5
1581 2015-06-30 00:00:00.000 25.5
3535 2015-07-03 00:00:00.000 3
3536 2015-08-13 00:00:00.000 13.5
2166 2015-09-22 00:00:00.000 28.5
3542 2015-11-05 00:00:00.000 13.5
3543 2015-12-18 00:00:00.000 6
2445 2015-12-25 00:00:00.000 5.7
4096 2015-12-31 00:00:00.000 7.5
2446 2016-01-01 00:00:00.000 5.7
4287 2016-02-11 00:00:00.000 13.5
4288 2016-02-18 00:00:00.000 13.5
4492 2016-03-02 00:00:00.000 19.7
2447 2016-03-25 00:00:00.000 5.7
I am using a stored procedure which adds up the Days then subtracts it from a fixed value stored in a variable.
The total in the table is 245 and the variable is set to 245 so I should get a value of 0 when subtracting the two. However, I am getting a value of 5.6843418860808E-14 instead. I cant figure out why this is the case and I have gone and re entered each number in the table but I still get the same result.
This is my sql statement that I am using to calculate the result:
Declare #AL_Taken as float
Declare #AL_Remaining as float
Declare #EntitledLeave as float
Set #EntitledLeave=245
set #AL_Taken= (select sum(Days) from tblALMain)
Set #AL_Remaining=#EntitledLeave-#AL_Taken
Select #EntitledLeave, #AL_Taken, #AL_Remaining
The select returns the following:
245, 245, 5.6843418860808E-14
Can anyone suggest why I am getting this number when I should be getting 0?
Thanks for the help
Rob
I changed the data type to Decimal as Tab Allenman suggested and this resolved my issue. I still dont understand why I didnt get zero when using float as all the values added up to 245 exactly (I even re-entered the values manually) and 245 - 245 should have given me 0.
Thanks again for all the comments and explanations.
Rob
I would like to clean up some data returned from a query. This query :
select seriesId,
startDate,
reportingCountyId,
countyId,
countyName,
pocId,
pocValue
from someTable
where seriesId = 147
and pocid = 2
and countyId in (2033,2040)
order by startDate
usually returns 2 county matches for all years:
seriesId startDate reportingCountyId countyId countyName pocId pocValue
147 2004-01-01 00:00:00.000 6910 2040 CountyOne 2 828
147 2005-01-01 00:00:00.000 2998 2033 CountyTwo 2 4514
147 2005-01-01 00:00:00.000 3000 2040 CountyOne 2 2446
147 2006-01-01 00:00:00.000 3018 2033 CountyTwo 2 5675
147 2006-01-01 00:00:00.000 4754 2040 CountyOne 2 2265
147 2007-01-01 00:00:00.000 3894 2033 CountyTwo 2 6250
147 2007-01-01 00:00:00.000 3895 2040 CountyOne 2 2127
147 2008-01-01 00:00:00.000 4842 2033 CountyTwo 2 5696
147 2008-01-01 00:00:00.000 4846 2040 CountyOne 2 2013
147 2009-01-01 00:00:00.000 6786 2033 CountyTwo 2 2578
147 2009-01-01 00:00:00.000 6817 2040 CountyTwo 2 1933
147 2010-01-01 00:00:00.000 6871 2040 CountyOne 2 1799
147 2010-01-01 00:00:00.000 6872 2033 CountyTwo 2 4223
147 2011-01-01 00:00:00.000 8314 2033 CountyTwo 2 3596
147 2011-01-01 00:00:00.000 8315 2040 CountyOne 2 1559
But note please that the first entry has only CountyOne for 2004. I would like to return a fake row for CountyTwo for a graph I am doing. It would be sufficient to fill it like CountyOne only with pocValue = 0.
thanks!!!!!!!!
Try this (if you need blank row for that countryid)
; with CTE AS
(SELECT 2033 As CountryID UNION SELECT 2040),
CTE2 AS
(
seriesId, startDate, reportingCountyId,
countyId, countyName, pocId, pocValue
from someTable where
seriesId = 147 and pocid = 2 and countyId in (2033,2040)
order by startDate
)
SELECT x1.CountyId, x2.*, IsNull(pocValue,0) NewpocValue FROM CTE x
LEFT OUTER JOIN CTE2 x2 ON x1.CountyId = x2.reportingCountyId