I am wanting to display results where the date stored in the table is not between the dates specified in the query.
if last_Tran_date != from_date
and if last_Tran_date != to_date
therefore there are no transaction.
so i would like to display the result.
example
last transaction date
1-JAN-16
2-JAN-16
8-FEB-16
10-MAC-16
PERIOD TO QUERY : (FROM 2-JAN-16 TO 8-FEB-16)
IF last transaction date not between the period query,
then display the result.
SELECT L.TDR_CODE||' - '||T.TDR_NAME TDR_CODE,L.CLIENT_NO,L.CLIENT_TYPE
,L.AMLA_RISK,L.ACCT_TYPE,L.CLIENT_NAME,L.DATE_CREATED,L.ANNUAL_INCOME
,L.NET_WORTH,L.ACCT_GROUP,L.PAIDUP_CAPITAL,L.SHAREHOLDER_FUND,L.OCCUPATION
,L.LAST_TRAN_DATE,K.CHQ_BANK,K.CHQ_NO,K.CHQ_AMT,decode(K.category,'3'
, decode(nvl(K.cancel_flag,'N'),'N',1,-2) ,0) chqamt_cash
FROM BOS_M_CLIENT L
, BOS_M_TRADER T,BOS_M_LEDGER_REC K
WHERE ((K.CHQ_NO IS NOT NULL AND K.CHQ_AMT>50000)
OR (K.CATEGORY='3' AND K.CHQ_AMT>10000))
AND L.PROHIBIT_TRADE<>'C'
AND L.CLIENT_NO = K.CLIENT_NO(+)
AND L.amla_risk='High'
AND L.TDR_CODE=T.TDR_CODE
AND L.tdr_code>=:P_FROM_TDR_CODE
AND L.tdr_code<=:P_TO_TDR_CODE
AND K.TRAN_DATE>=:P_FROM_DATE
AND K.TRAN_DATE<=:P_TO_DATE
AND L.LAST_TRAN_DATE NOT BETWEEN :P_FROM_DATE AND :P_TO_DATE
If there are "gaps" in your data then SQL will NOT display the missing data UNLESS you do something extra. e.g.
trans_date
2016-01-01
-- there is a "gap" here, there are "missing dates"
2016-01-12
What you now need is a set of rows for each date from 1-Jan to 12-Jan. There are many way to get those rows, below I have used "connect by leve;" which is an Oracle specific technique and demonstrates how we can find "missing dates":
CREATE TABLE YOURTABLE
(TRANS_DATE date);
INSERT INTO YOURTABLE (TRANS_DATE) VALUES (to_date('2016-01-01','yyyy-mm-dd'));
INSERT INTO YOURTABLE (TRANS_DATE) VALUES (to_date('2016-01-12','yyyy-mm-dd'));
2 rows affected
SELECT
c.cal_date, t.*
FROM (
SELECT to_date('2016-01-01','yyyy-mm-dd') + ROWNUM - 1 as cal_date
FROM (
SELECT ROWNUM FROM (
SELECT 1 FROM DUAL
CONNECT BY LEVEL <= (to_date('2016-01-12','yyyy-mm-dd') - (to_date('2016-01-01','yyyy-mm-dd')-1))
)
)
) c
LEFT JOIN yourtable t ON c.cal_date = t.trans_date
WHERE t.trans_date IS NOT NULL
ORDER BY c.cal_date
;
CAL_DATE | TRANS_DATE
:-------- | :---------
01-JAN-16 | 01-JAN-16
12-JAN-16 | 12-JAN-16
SELECT
c.cal_date, t.*
FROM (
SELECT to_date('2016-01-01','yyyy-mm-dd') + ROWNUM - 1 as cal_date
FROM (
SELECT ROWNUM FROM (
SELECT 1 FROM DUAL
CONNECT BY LEVEL <= (to_date('2016-01-12','yyyy-mm-dd') - (to_date('2016-01-01','yyyy-mm-dd')-1))
)
)
) c
LEFT JOIN yourtable t ON c.cal_date = t.trans_date
WHERE t.trans_date IS NULL
ORDER BY c.cal_date
;
CAL_DATE | TRANS_DATE
:-------- | :---------
02-JAN-16 | null
03-JAN-16 | null
04-JAN-16 | null
05-JAN-16 | null
06-JAN-16 | null
07-JAN-16 | null
08-JAN-16 | null
09-JAN-16 | null
10-JAN-16 | null
11-JAN-16 | null
dbfiddle here
Related
i have a table with 3 value
Date_key | user_name | user_id
2022-07-12 | milkcotton | 1
2022-09-12 | cereal | 2
2022-06-12 | musicbox1 | 3
2022-12-31 | harrybel1 | 1
2022-12-25 | milkcotton1| 4
2023-01-01 | cereal | 2
i want to know the user who changed the user_name in 1 semester (01 july 2022 - 31 december 2022). Can i do this?
my expected value is:
previous_name| new_name | user_id
milkcotton | harrybel1 | 1
Thank you!
know the changed of the user_name from 1 table
Note: This is done in Postgres SQL. This should be similar in most of the SQL engines. Date functions could slightly different in other SQL engines.
Try this:
with BaseTbl as(
select *,
cast(to_char(Date_key, 'YYYYMM') as int) as year_month,
cast(to_char(Date_key, 'MM') as int) as month,
row_number() over(partition by user_id order by date_key desc) as rnk
from Table1
),
LatestTwoChanges as(
select *
from BaseTbl
where user_id in (select user_id from BaseTbl where rnk=2 )
and rnk <=2
)
select
t2.user_name as previous_name,
t1.user_name as new_name,
t1.user_id
from LatestTwoChanges t1
join LatestTwoChanges t2
on t1.user_id=t2.user_id
where t1.rnk=1
and t2.rnk=2
and t1.year_month-t2.year_month <6
and t1.user_name <> t2.user_name
and (t1.month + t2.month <= 12 or t1.month + t2.month >=14 )
-- this is to check whether the date falling in the same semester.
SQL fiddle demo Here
Here, the table t1 contains the latest changes and table t2 contains the previous changes for a user_id.
The last filter condition
and (t1.month + t2.month <= 12 or t1.month + t2.month >=14 )
is to make sure that the two dates are falling in the same semester or not . which means the two months should be either between 1 and 6 or 7 and 12
I'm having trouble adapting some recursive CTE code from PostgreSQL to SQL Server, from the book "Fighting Churn with Data"
This is the working PostgreSQL code:
with recursive
active_period_params as (
select interval '30 days' as allowed_gap,
'2021-09-30'::date as calc_date
),
active as (
-- anchor
select distinct account_id, min(start_date) as start_date
from subscription inner join active_period_params
on start_date <= calc_date
and (end_date > calc_date or end_date is null)
group by account_id
UNION
-- recursive
select s.account_id, s.start_date
from subscription s
cross join active_period_params
inner join active e on s.account_id=e.account_id
and s.start_date < e.start_date
and s.end_date >= (e.start_date-allowed_gap)::date
)
select account_id, min(start_date) as start_date
from active
group by account_id
This is my attempt at converting to SQL Server. It gets stuck in a loop. I believe the issue has to do with the UNION ALL required by SQL Server.
with
active_period_params as (
select 30 as allowed_gap,
cast('2021-09-30' as date) as calc_date
),
active as (
-- anchor
select distinct account_id, min(start_date) as start_date
from subscription inner join active_period_params
on start_date <= calc_date
and (end_date > calc_date or end_date is null)
group by account_id
UNION ALL
-- recursive
select s.account_id, s.start_date
from subscription s
cross join active_period_params
inner join active e on s.account_id=e.account_id
and s.start_date < e.start_date
and s.end_date >= dateadd(day, -allowed_gap, e.start_date)
)
select account_id, min(start_date) as start_date
from active
group by account_id
The subscription table is a list of subscriptions belonging to customers. A customer can have multiple subscriptions with overlapping dates or gaps between dates. null end_date means the subscription is currently active and has no defined end_date. Example data for a single customer (account_id = 15) below:
subscription
---------------------------------------------------
| id | account_id | start_date | end_date |
---------------------------------------------------
| 6 | 15 | 01/06/2021 | null |
| 5 | 15 | 01/01/2021 | null |
| 4 | 15 | 01/06/2020 | 01/02/2021 |
| 3 | 15 | 01/04/2020 | 15/05/2020 |
| 2 | 15 | 01/03/2020 | 15/05/2020 |
| 1 | 15 | 01/06/2019 | 01/01/2020 |
Expected query result (as produced by PostgreSQL code):
------------------------------
| account_id | start_date |
------------------------------
| 15 | 01/03/2020 |
Issue:
The SQL Server code above gets stuck in a loop and doesn't produce a result.
Description of the PostgreSQL code:
anchor block finds subs that are active as at the calc_date (30/09/2021) (id 5 & 6), and returns the min start_date (01/01/2021)
the recursion block then looks for any earlier subs that existed within the allowed_gap, which is 30 days prior to the min_start date found in 1). id 4 meets this criteria, so the new min start_date is 01/06/2020
recursion repeats and finds two subs within the allowed_gap (01/06/2020 - 30 days). Of these subs (id 2 & 3), the new min start_date is 01/03/2020
recursion fails to find an earlier sub within the allowed_gap (01/03/2020 - 30 days)
query returns a start date of 01/03/2020 for account_id 15
Any help appreciated!
It seems the issue is related to the way SQL Server deals with recursive CTEs.
This is a type of gaps-and-islands problem, and does not actually require recursion.
There are a number of solutions, here is one. Given your requirement, there may be more efficient methods, but this should get you started.
Using LAG we identify rows which are within the specified gap of the next row
We use a running COUNT to give each consecutive set of rows an ID
We group by that ID, and take the minimum start_date, filtering out non-qualifying groups
Group again to get the minimum per account
DECLARE #allowed_gap int = 30,
#calc_date datetime = cast('2021-09-30' as date);
WITH PrevValues AS (
SELECT *,
IsStart = CASE WHEN ISNULL(LAG(end_date) OVER (PARTITION BY account_id
ORDER BY start_date), '2099-01-01') < DATEADD(day, -#allowed_gap, start_date)
THEN 1 END
FROM subscription
),
Groups AS (
SELECT *,
GroupId = COUNT(IsStart) OVER (PARTITION BY account_id
ORDER BY start_date ROWS UNBOUNDED PRECEDING)
FROM PrevValues
),
ByGroup AS (
SELECT
account_id,
GroupId,
start_date = MIN(start_date)
FROM Groups
GROUP BY account_id, GroupId
HAVING COUNT(CASE WHEN start_date <= #calc_date
and (end_date > #calc_date or end_date is null) THEN 1 END) > 0
)
SELECT
account_id,
start_date = MIN(start_date)
FROM ByGroup
GROUP BY account_id;
db<>fiddle
I need some help with SQL.
I have
Table1 with columns Id, Date1 and Date2
Table2 with columns Table1Id and Table2Id
Table3 with columns Id and Name
Here is my try:
with tmp_tab as (
select
v."Name" as name
, date_part('month', cv."OfferAcceptedDate") as MonthAcceptedName
, date_part('month', cv."OfferSentDate") as MonthSentName
, 1 as cntAcc
, 1 as cntSent
from hr_metrics."CvInfo" as cv
join hr_metrics."CvInfoVacancy" as civ
on civ."CvInfosId" = cv."Id"
join hr_metrics."Vacancy" as v
on civ."VacanciesId" = v."Id"
where cv."OfferSentDate" is not null
and date_part('year', cv."OfferSentDate") = date_part('year', CURRENT_DATE)
group by v."Name" , date_part('month', cv."OfferAcceptedDate"),
date_part('month', cv."OfferSentDate")
)
select distinct
tmp_tab."name" as name,
tmp_tab.MonthSentName as mSent,
tmp_tab.MonthAcceptedName as mAcc,
Sum(tmp_tab.cntSent) as sented,
Sum(tmp_tab.cntacc) as accepted
from tmp_tab as tmp_tab
group by tmp_tab.name, tmp_tab.MonthSentName, tmp_tab.MonthAcceptedName;
I need to take Count(date2)/Count(date1) grouped by monthes and name.
I have no idea how to do that, as there is no table with monthes.
DB - Postgres
sample data from comment:
t1
1 | 01/01/2021 | 31/03/2021
2 | 05/01/2021 | 18/01/2021
3 | 12/01/2021 | 31/01/2021
4 | 13/03/2021 | 22/03/2021
t2
1 | 1
2 | 1
3 | 2
4 | 1
t3
1 | SomeName1
2 | someName2
Desired result:
Name | month | value
SomeName1 | 1 | 1\2
SomeName1 | 3 | 2
SomeName2 | 1 | 1
Update: if count(date2) == 0, than count(date2) = -1
Source answer
Here code for my question thats work. And yeah, i've asked it on ru too.
select name, month, sum((SRC=1)::int) as AcceptedCount, sum((SRC=2)::int) as SentCount,
case when sum((SRC=1)::int) = 0 then -1
else sum((SRC=2)::int)::float / sum((SRC=1)::int) end as Result
from (
select v.name, SRC,
extract('month' from case SRC when 1 then OfferAcceptedDate else OfferSentDate end) as month
from (select (date_part('year', CURRENT_DATE)::char(4) || '-01-01')::timestamptz as from_date) x
cross join (select 1 as SRC union all select 2) s
join CvInfo as cv on (SRC=1 and cv.OfferAcceptedDate >= from_date and cv.OfferAcceptedDate < from_date + interval '1 year')
or (SRC=2 and cv.OfferSentDate >= from_date and cv.OfferSentDate < from_date + interval '1 year')
join CvInfoVacancy as civ on civ.CvInfosId = cv.Id
join Vacancy as v on civ.VacanciesId = v.Id
where case SRC when 1 then OfferAcceptedDate else OfferSentDate end is not null
) x
group by name, month
I have records of No. of calls coming to a call center. When a call comes into a call center a ticket is open.
So, let's say ticket 1 (T1) is open on 8/1/19 and it stays open till 8/5/19. So, if a person ran a query everyday then on 8/1 it will show 1 ticket open...same think on day 2 till day 5....I want to get records by day to see how many tickets were open for each day.....
In short, Frequency Distribution by Day.
Ticket Open_date Close_date
T1 8/1/2019 8/5/2019
T2 8/1/2019 8/6/2019
Result:
Result
Date # Tickets_Open
8/1/2019 2
8/2/2019 2
8/3/2019 2
8/4/2019 2
8/5/2019 2
8/6/2019 1
8/7/2019 0
8/8/2019 0
8/9/2019 0
8/10/2019 0
We can handle your requirement via the use of a calendar table, which stores all dates covering the full range in your data set.
WITH dates AS (
SELECT '2019-08-01' AS dt UNION ALL
SELECT '2019-08-02' UNION ALL
SELECT '2019-08-03' UNION ALL
SELECT '2019-08-04' UNION ALL
SELECT '2019-08-05' UNION ALL
SELECT '2019-08-06' UNION ALL
SELECT '2019-08-07' UNION ALL
SELECT '2019-08-08' UNION ALL
SELECT '2019-08-09' UNION ALL
SELECT '2019-08-10'
)
SELECT
d.dt,
COUNT(t.Open_date) AS num_tickets_open
FROM dates d
LEFT JOIN tickets t
ON d.dt BETWEEN t.Open_date AND t.Close_date
GROUP BY
d.dt;
Note that in practice if you expect to have this reporting requirement in the long term, you might want to replace the dates CTE above with a bona-fide table of dates.
This solution generates the list of dates from the tickets table using CTE recursion and calculates the count:
WITH Tickets(Ticket, Open_date, Close_date) AS
(
SELECT "T1", "8/1/2019", "8/5/2019"
UNION ALL
SELECT "T2", "8/1/2019", "8/6/2019"
),
Ticket_dates(Ticket, Dates) as
(
SELECT t1.Ticket, CONVERT(DATETIME, t1.Open_date)
FROM Tickets t1
UNION ALL
SELECT t1.Ticket, DATEADD(dd, 1, CONVERT(DATETIME, t1.Dates))
FROM Ticket_dates t1
inner join Tickets t2 on t1.Ticket = t2.Ticket
where DATEADD(dd, 1, CONVERT(DATETIME, t1.Dates)) <= CONVERT(DATETIME, t2.Close_date)
)
SELECT CONVERT(varchar, Dates, 1), count(*)
FROM Ticket_dates
GROUP by Dates
ORDER by Dates
A "general purpose" trick is to generate a series of numbers, which can be done using CTE's but there are many alternatives, and from that create the needed range of dates. Once that exists then you can left join your ticket data to this and then count by date.
CREATE TABLE mytable(
Ticket VARCHAR(8) NOT NULL PRIMARY KEY
,Open_date DATE NOT NULL
,Close_date DATE NOT NULL
);
INSERT INTO mytable(Ticket,Open_date,Close_date) VALUES ('T1','8/1/2019','8/5/2019');
INSERT INTO mytable(Ticket,Open_date,Close_date) VALUES ('T2','8/1/2019','8/6/2019');
Also note I am using a cross apply in this example to "attach" the min and max dates of your tickets to each numbered row. You would need to include your own logic on what data to select here.
;WITH
cteDigits AS (
SELECT 0 AS digit UNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3 UNION ALL SELECT 4 UNION ALL
SELECT 5 UNION ALL SELECT 6 UNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9
)
, cteTally AS (
SELECT
[1s].digit
+ [10s].digit * 10
+ [100s].digit * 100 /* add more like this as needed */
AS num
FROM cteDigits [1s]
CROSS JOIN cteDigits [10s]
CROSS JOIN cteDigits [100s] /* add more like this as needed */
)
select
n.num + 1 rownum
, dateadd(day,n.num,ca.min_date) as on_date
, count(t.Ticket) as tickets_open
from cteTally n
cross apply (select min(Open_date), max(Close_date) from mytable) ca (min_date, max_date)
left join mytable t on dateadd(day,n.num,ca.min_date) between t.Open_date and t.Close_date
where dateadd(day,n.num,ca.min_date) <= ca.max_date
group by
n.num + 1
, dateadd(day,n.num,ca.min_date)
order by
rownum
;
result:
+--------+---------------------+--------------+
| rownum | on_date | tickets_open |
+--------+---------------------+--------------+
| 1 | 01.08.2019 00:00:00 | 2 |
| 2 | 02.08.2019 00:00:00 | 2 |
| 3 | 03.08.2019 00:00:00 | 2 |
| 4 | 04.08.2019 00:00:00 | 2 |
| 5 | 05.08.2019 00:00:00 | 2 |
| 6 | 06.08.2019 00:00:00 | 1 |
+--------+---------------------+--------------+
I have the following table in a SQL db (HeartbeatHistory)
Timestamp | Comment | Id
------------------------
The comment can contain OK or ERR
The Id is the Id of the thing that has that comment.
I want to be able to query the table and find the durations that any given id was in an Error state.
Timestamp | Comment | Id
------------------------
12:00:00 | OK | 1
11:59:00 | ERR | 2
11:58:00 | OK | 4
11:57:00 | OK | 3
11:45:00 | ERR | 4
11:20:00 | OK | 2
11:00:00 | ERR | 3
11:30:00 | OK | 5
11:20:00 | ERR | 1
11:10:00 | OK | 1
11:00:00 | ERR | 1
10:30:00 | ERR | 5
So in the above table If I queried for 11:00:00 to 13:00:00 I would want to see.
ErrorStart | ErrorEnd | Id
--------------------------
11:00:00 | 11:10:00 | 1
11:20:00 | 12:00:00 | 1
11:59:00 | 12:00:00 | 2
11:00:00 | 11:57:00 | 3
11:45:00 | 11:58:00 | 4
11:00:00 | 11:30:00 | 5
(notice 5 started error before query date!!)
Is this possible? Also an Id might change state multiple times during the queried period.
So far I have this, which works for a single Id, but I need to make it work for multiple Ids.
declare #startDate datetime = #from;
declare #endDate datetime = #to;
declare #kpiId = 1;
select Foo.RowCreatedTimestamp, Foo.Comment, Foo.NextTimeStamp, Foo.NextComment, Foo.HeartBeatId, Foo.NextHeartBeatId
from (
select RowCreatedTimestamp, Comment,
lag(RowCreatedTimestamp, 1, 0) over (order by RowCreatedTimestamp desc) as NextTimeStamp,
lag(Comment, 1, 0) over (order by RowCreatedTimestamp desc) as NextComment,
HeartBeatId
from dbo.tblHeartbeatHistory
where RowCreatedTimestamp >= #startDate and RowCreatedTimestamp <= #endDate
and HeartbeatId in
(
select HeartbeatId
from dbo.tblKpiHeartBeats
where KpiId = #kpiId
)
) as Foo
where Foo.Comment like '%set to ERR%'
order by Foo.RowCreatedTimestamp desc;
So if the select HeartbeatId from dbo.tblKpiHeartBeats returns a single Id, this works. As soon as their are multiple id's it does not :(
To avoid confusion:
The table with the Timestamp, Comment and Id is HeartbeatHistory.
The other table referenced in my SQL is dbo.tblKpiHeartBeats.
This table looks like:
Kpi | HeartbeatId
-----------------
1 | 1
1 | 2
1 | 3
1 | 4
1 | 5
So i want all the error intervals for Kpi = 1, it would return the error intervals for HeartbeatId 1,2,3,4 and 5.
Further note. The data may have multiple errors in a row before an OK comes in.
It may just be all ERR for the query period or all OK.
You can add second CTE Id you want full join ERR AND OK rows (Code below only for OK rows)
WIRH History AS (
SELECT
FROM HeartbeatHistory
WHERE Timestamp BETWEEN #DateStart AND #DateEnd
), Errors AS(
SELECT Id, MIN(Timestamp) AS ErrorStart
FROM History
WHERE Comment = 'ERR'
GROUP BY Id
)
SELECT
ErrorStart = E.ErrorStart ,
ErrorEnd = O.Timestamp,
Id = O.Id
FROM History O
LEFT JOIN Errors E ON E.Id = O.Id
WHERE O.Comment = 'OK'
Edit: You can add prevOK timespan (or PK) column to the table (probably computed persistent) - link to last good row. It will be used as Id of row in your report.
Try this index:
CREATE INDEX IDX_EXAMPLE ON HeartbeatHistory (Timestamp, Id, prevOK, Comment)
WIRH History AS (
SELECT
FROM HeartbeatHistory
WHERE Timestamp BETWEEN #DateStart AND #DateEnd
)
SELECT
ErrorStart = E.ErrorStart ,
ErrorEnd = O.Timestamp,
Id = O.Id
FROM History O
OUTER APPLY (
SELECT MIN(Timestamp) AS ErrorStart
FROM History E
WHERE E.Id = O.ID AND E.prevOK = O.prevOK
)
WHERE O.Comment = 'OK'
The simplest method is to use lead(). If I assume that ERR does not occur twice in a row (as in your sample data):
select (case when timestamp >= '11:00:00' then timestamp else '11:00:00' end) as errorStart,
(case when next_timestamp <= '13:00:00' then next_timestamp else '13:00:00') as errorEnd,
id
from (select t.*,
lead(timestamp) over (partition by id order by timestamp) as next_timestamp
from t
) t
where comment = 'ERR' and
(timestamp <= '13:00:00' and
(next_timestamp >= '11:00:00' or next_timestamp is null)
);
Try this:
DECLARE #table TABLE (Timestmp TIME(1), Comment NVARCHAR(5), Id INT) --your table
INSERT INTO #table VALUES
('12:00:00','OK ','1'),('11:59:00','ERR','2'),('11:58:00','OK ','4'),('11:57:00','OK ','3'),
('11:45:00','ERR','4'),('11:20:00','OK ','2'),('11:00:00','ERR','3'),('11:30:00','OK ','5'),
('11:20:00','ERR','1'),('11:10:00','OK ','1'),('11:00:00','ERR','1'),('10:30:00','ERR','5')
DECLARE #ROWER TABLE (id INT IDENTITY(1,1), Timestmp TIME(1))
INSERT INTO #ROWER SELECT Timestmp FROM #table WHERE Comment='OK' ORDER BY Timestmp
DECLARE #TIME TIME(1) = '11:00:00' --your condition
SELECT DISTINCT CASE WHEN A.Timestmp >=#TIME THEN A.Timestmp ELSE #TIME END ErrorStart,
CASE WHEN B.Timestmp > A.Timestmp THEN B.Timestmp ELSE '' END ErrorEnd,
A.Id FROM (
SELECT ROW_NUMBER() OVER (ORDER BY id,Timestmp) rowid,* FROM #table WHERE Comment = 'ERR'
) A LEFT JOIN (
SELECT ROW_NUMBER() OVER (ORDER BY id,Timestmp) rowid,* FROM #table WHERE Comment = 'OK'
) B ON A.rowid = B.rowid
LEFT JOIN ( SELECT A.id,A.Timestmp t1,B.Timestmp t2 FROM #ROWER A
LEFT JOIN (SELECT id-1 id, Timestmp FROM #ROWER) B ON A.id=B.id
) C ON A.Timestmp BETWEEN C.t1 AND C.t2 ORDER BY A.Id
Hope it helps. :)