Leadership wants to know how Teammates are performing on Mondays & Fridays in comparison to the rest of the work week. Below is a sample temp dbo of a Teammate X's daily performance over a two-month period. Each subsequent Teammate has a different starting point from whence they are measured. I initially looked at using UNBOUNDED PRECEDING in conjunction with the various start dates, but windows functions are not cooperating. Help!
CREATE TABLE #RollingAverage
(
[Date] DATE PRIMARY KEY
,[Value] INT
);
INSERT INTO #RollingAverage
SELECT '2019-01-02',626
UNION ALL SELECT '2019-01-03',231 UNION ALL SELECT '2019-01-04',572
UNION ALL SELECT '2019-01-07',775 UNION ALL SELECT '2019-01-09',660
UNION ALL SELECT '2019-01-10',662 UNION ALL SELECT '2019-01-11',541
UNION ALL SELECT '2019-01-14',849 UNION ALL SELECT '2019-01-15',632
UNION ALL SELECT '2019-01-16',906 UNION ALL SELECT '2019-01-18',961
UNION ALL SELECT '2019-01-21',501 UNION ALL SELECT '2019-01-24',311
UNION ALL SELECT '2019-01-25',614 UNION ALL SELECT '2019-01-28',296
UNION ALL SELECT '2019-01-29',390 UNION ALL SELECT '2019-01-31',804
UNION ALL SELECT '2019-02-01',928 UNION ALL SELECT '2019-02-05',855
UNION ALL SELECT '2019-02-06',605 UNION ALL SELECT '2019-02-08',283
UNION ALL SELECT '2019-02-12',144 UNION ALL SELECT '2019-02-14',382
UNION ALL SELECT '2019-02-15',862 UNION ALL SELECT '2019-02-18',549
UNION ALL SELECT '2019-02-19',401 UNION ALL SELECT '2019-02-20',515
UNION ALL SELECT '2019-02-21',590 UNION ALL SELECT '2019-02-22',625
UNION ALL SELECT '2019-02-25',304 UNION ALL SELECT '2019-02-26',402
UNION ALL SELECT '2019-02-27',326;
AVG(Value) over (ORDER BY [Date] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) did not work
The first thing you need to understand, is that your "daily" performance is not daily. A simple solution would be to fill the gaps to be able to effectively count the days.
I filled the gaps using a CTE that generates a calendar table on the fly, but you could use a permanent calendar table if available.
WITH
E(n) AS(
SELECT n FROM (VALUES(0),(0),(0),(0),(0),(0),(0),(0),(0),(0))E(n)
),
E2(n) AS(
SELECT a.n FROM E a, E b
),
cteCalendar(calDate) AS(
SELECT TOP (61)
CAST( DATEADD( DD, 1-ROW_NUMBER() OVER(ORDER BY (SELECT NULL)), GETDATE()) AS date) AS calDate
FROM E2
),
cteRollingAverages AS(
SELECT ra.[Date],
ra.value,
AVG(Value) over (ORDER BY calDate ROWS BETWEEN 7 PRECEDING AND CURRENT ROW) RollingAverage
FROM #RollingAverage AS ra
RIGHT JOIN cteCalendar AS c ON ra.[Date] = c.calDate
)
SELECT *
FROM cteRollingAverages
WHERE [Date] IS NOT NULL
ORDER BY [Date];
A different option is to use APPLY. This is not limited by a certain date.
SELECT *
FROM #RollingAverage r
CROSS APPLY( SELECT AVG(i.[Value]) AS RollingAvg
FROM #RollingAverage i
WHERE i.[Date] BETWEEN DATEADD( DD, -7, r.[Date]) AND r.[Date]) av
ORDER BY [Date];
I am trying to count orders over a 24 hours sliding window. I have a 'detetime' field and I'm calculating the 24 hours window aggregating at the minute level. It should re-start counting every time the order time between two consecutive orders is over 1440 minutes or when the running time of consecutive orders is over 1440 minutes.
Environment is SQL server 2016, I can create Temp tables but no physical tables and no memory-optimized objects (I guess anything working on 2012+ should work).
I tried an inner join on the same table and tested with recursive CTEs, ROW_NUMBER etc. but the issue is that there is never a set number of rows for the 24 hours window and the base time from which to calculate the start of the period changes. The only constant I have is the 24 hours time span.
Tried the following:
https://www.red-gate.com/simple-talk/sql/t-sql-programming/calculating-values-within-a-rolling-window-in-transact-sql/
Calculate running total / running balance
Cross apply seems to be working for the most part but in some instances - when calculating the running 24 hours window - it isn't. I tried changing the datetime conditions in the WHERE clause in many ways but I still can't figure out how to get it to work correctly.
I thought about creating a reset event at the 24 hours mark as showed here https://blog.jooq.org/2015/05/12/use-this-neat-window-function-trick-to-calculate-time-differences-in-a-time-series/ but at this point my brain is melting and I can't even get the logic straight.
DROP TABLE IF EXISTS #Data
CREATE TABLE #Data
(
START_TIME DATETIME
,ORDER_ID NUMERIC(18,0)
,PROD_ID NUMERIC(18,0)
,ACC_ID NUMERIC(18,0)
);
INSERT INTO #Data
SELECT '2018-06-22 11:00:00.000', 198151606, 58666, 1601554883
UNION ALL SELECT '2018-07-09 10:15:00.000',2008873061,58666,1601554883
UNION ALL SELECT '2018-07-09 12:33:00.000',2009269222,58666,1601554883
UNION ALL SELECT '2018-07-10 08:29:00.000',2010735393,58666,1601554883
UNION ALL SELECT '2018-07-10 10:57:00.000',2010735584,58666,1601554883
UNION ALL SELECT '2018-06-27 23:53:00.000',1991467555,58666,2300231016
UNION ALL SELECT '2018-06-28 00:44:00.000',1991583916,58666,2300231016
UNION ALL SELECT '2018-07-04 04:15:00.000',2001154497,58666,2300231016
UNION ALL SELECT '2018-07-04 15:44:00.000',2001154818,58666,2300231016
UNION ALL SELECT '2018-07-04 21:30:00.000',2002057919,58666,2300231016
UNION ALL SELECT '2018-07-05 02:09:00.000',1200205808,58666,2300231016
UNION ALL SELECT '2018-07-05 04:15:00.000',2200205814,58666,2300231016
UNION ALL SELECT '2018-07-05 17:23:00.000',3200370070,58666,2300231016
UNION ALL SELECT '2018-07-05 18:07:00.000',4200370093,58666,2300231016
UNION ALL SELECT '2018-07-06 20:15:00.000',5200571962,58666,2300231016
UNION ALL SELECT '2018-07-07 07:45:00.000',6200571987,58666,2300231016
UNION ALL SELECT '2018-07-07 12:13:00.000',7200571993,58666,2300231016
UNION ALL SELECT '2018-07-09 18:29:00.000',8200939551,58666,2300231016
UNION ALL SELECT '2018-07-09 21:05:00.000',9200939552,58666,2300231016
UNION ALL SELECT '2018-07-11 21:31:00.000',2011107311,58666,2300231016
UNION ALL SELECT '2018-06-27 18:23:00.000',1991016382,58669,2300231016
UNION ALL SELECT '2018-06-27 19:07:00.000',1991181363,58669,2300231016
UNION ALL SELECT '2018-06-27 19:28:00.000',1991181374,58669,2300231016
UNION ALL SELECT '2018-06-28 01:44:00.000',1991583925,58669,2300231016
UNION ALL SELECT '2018-06-28 02:19:00.000',1991583946,58669,2300231016
UNION ALL SELECT '2018-07-03 10:15:00.000',1999231747,58669,2300231016
UNION ALL SELECT '2018-07-03 10:45:00.000',2000293678,58669,2300231016
UNION ALL SELECT '2018-07-03 14:22:00.000',200029380,58669,2300231016
UNION ALL SELECT '2018-07-04 19:45:00.000',2002057789,58669,2300231016
UNION ALL SELECT '2018-07-04 21:00:00.000',1200205781,58669,2300231016
UNION ALL SELECT '2018-07-05 15:12:00.000',2200254833,58669,2300231016
UNION ALL SELECT '2018-07-05 17:52:00.000',3200370071,58669,2300231016
UNION ALL SELECT '2018-07-09 22:30:00.000',4200939553,58669,2300231016
UNION ALL SELECT '2018-07-09 23:23:00.000',5200939566,58669,2300231016
UNION ALL SELECT '2018-07-30 17:45:00.000',6204364207,58666,2300231016
UNION ALL SELECT '2018-07-30 23:30:00.000',7204364211,58666,2300231016
;WITH TimeBetween AS(
SELECT
ACC_ID
,PROD_ID
,ORDER_ID
,START_TIME
,TIME_BETWEEN_ORDERS = COALESCE(CASE WHEN DATEDIFF(MINUTE, LAG(START_TIME) OVER(PARTITION BY ACC_ID, PROD_ID
ORDER BY START_TIME), START_TIME) >= 1440
THEN 0
ELSE DATEDIFF(MINUTE, LAG(START_TIME) OVER(PARTITION BY ACC_ID, PROD_ID
ORDER BY START_TIME), START_TIME)
END, 0)
FROM #Data
)
SELECT
TimeBetween.ACC_ID
,TimeBetween.PROD_ID
,TimeBetween.ORDER_ID
,TimeBetween.START_TIME
,TIME_BETWEEN_ORDERS
--Not working correctly, repeats the previous time at the end of the window when it should be 0.
,RUNNING_TIME_BETWEEN_ORDERS = SUM(TIME_BETWEEN_ORDERS) OVER(PARTITION BY ACC_ID, PROD_ID ORDER BY START_TIME)
,Running24h.*
FROM TimeBetween
CROSS APPLY(SELECT TOP 1
RUNNING_COUNT_24h = COUNT(*) OVER() --Count admin units within the time window in the WHERE clause
--Check what APPLY is returning for running time
,RUNNING_TIME_BETWEEN_ORDERS_Apply = DATEDIFF(MINUTE, StageBaseApply.START_TIME, TimeBetween.START_TIME)
--Check what APPLY is using as base event anchor for the calculation
,START_TIME_Apply = StageBaseApply.START_TIME
FROM #Data AS StageBaseApply
WHERE
StageBaseApply.ACC_ID = TimeBetween.ACC_ID
AND StageBaseApply.PROD_ID = TimeBetween.PROD_ID
AND (StageBaseApply.START_TIME > DATEADD(MINUTE, -1440, TimeBetween.START_TIME)
AND StageBaseApply.START_TIME <= TimeBetween.START_TIME
)
ORDER BY StageBaseApply.START_TIME
) AS Running24h
ORDER BY ACC_ID,PROD_ID, START_TIME
When the running time between orders is over 24 hours the running count should re-start from 1.
Currently it repeats the last value and the time it's using for the calculation seems to be off.
Current result from CROSS APPLY with notes on where it's not working and what it should be for what I'm trying to achieve
First create a Numbers table with at least as many rows as the minutes in the maximum time range you will ever be dealing with
CREATE TABLE dbo.Numbers(Number INT PRIMARY KEY);
WITH E1(N) AS
(
SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL
SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL
SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1
) -- 1*10^1 or 10 rows
, E2(N) AS (SELECT 1 FROM E1 a, E1 b) -- 1*10^2 or 100 rows
, E4(N) AS (SELECT 1 FROM E2 a, E2 b) -- 1*10^4 or 10,000 rows
, E8(N) AS (SELECT 1 FROM E4 a, E4 b) -- 1*10^8 or 100,000,000 rows
, Nums AS (SELECT TOP (10000000) ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) AS N FROM E8)
INSERT INTO dbo.Numbers
SELECT N
FROM Nums
And then you should be able to use something like this (I'm assuming that all start times are exact minutes and there are no duplicates per ACC_ID,PROD_ID,START_TIME as shown in your example data, if there are you will need to pre-aggregate at the minute level before participating in the left join)
WITH G
AS (SELECT ACC_ID,
PROD_ID,
MIN = MIN(START_TIME),
MAX = MAX(START_TIME),
Range = DATEDIFF(MINUTE, MIN(START_TIME), MAX(START_TIME))
FROM #Data
GROUP BY ACC_ID,
PROD_ID),
E
AS (SELECT *
FROM G
JOIN dbo.Numbers N
ON N.Number <= Range + 1),
R AS (SELECT E.ACC_ID,
E.PROD_ID,
D.START_TIME,
Cnt = COUNT(D.START_TIME) OVER (PARTITION BY E.ACC_ID, E.PROD_ID
ORDER BY DATEADD(MINUTE, NUMBER-1, MIN)
ROWS BETWEEN 1439 PRECEDING AND CURRENT ROW)
FROM E
LEFT JOIN #Data D
ON D.ACC_ID = E.ACC_ID
AND D.PROD_ID = E.PROD_ID
AND D.START_TIME = DATEADD(MINUTE, NUMBER-1, MIN) )
SELECT *
FROM R
WHERE START_TIME IS NOT NULL
ORDER BY ACC_ID,
PROD_ID,
START_TIME
After finding this post on how to reset a running sum, I think I may have finally been able to crack this nut. Not sure about how well it scales but it is working.
I also added a new column for order quantity since it may be useful sometimes to track the orders running total during the same time window.
The sliding time window can be set in this CASE statement:
CASE WHEN RunningOrders.LAG_LESS_THAN_24h + NextEventLag.NEXT_ORDER_TIME_LAG >= 1440 THEN 0 ELSE RunningOrders.LAG_LESS_THAN_24h + NextEventLag.NEXT_ORDER_TIME_LAG
END
DROP TABLE IF EXISTS #Data
CREATE TABLE #Data
(
ORDER_TIME DATETIME
,ORDER_ID NUMERIC(18,0)
,PROD_ID NUMERIC(18,0)
,ACCOUNT_ID NUMERIC(18,0)
,ORDER_QUANTITY INT
);
INSERT INTO #Data
SELECT '2018-06-22 11:00:00.000', 1981516061, 158666, 1601554883,5
UNION ALL SELECT '2018-07-09 10:15:00.000',2008873062,158666,1601554883,3
UNION ALL SELECT '2018-07-09 12:33:00.000',2009269223,158666,1601554883,2
UNION ALL SELECT '2018-07-10 08:29:00.000',2010735394,158666,1601554883,4
UNION ALL SELECT '2018-07-10 10:57:00.000',2010735584,158666,1601554883,7
UNION ALL SELECT '2018-06-27 23:53:00.000',1991467553,158666,2300231016,6
UNION ALL SELECT '2018-06-28 00:44:00.000',1991583913,158666,2300231016,6
UNION ALL SELECT '2018-07-04 04:15:00.000',2001154492,158666,2300231016,4
UNION ALL SELECT '2018-07-04 15:44:00.000',2001154814,158666,2300231016,5
UNION ALL SELECT '2018-07-04 21:30:00.000',2002057915,158666,2300231016,4
UNION ALL SELECT '2018-07-05 02:09:00.000',2002058086,158666,2300231016,4
UNION ALL SELECT '2018-07-05 04:15:00.000',2002058147,158666,2300231016,3
UNION ALL SELECT '2018-07-05 17:23:00.000',2003700706,158666,2300231016,2
UNION ALL SELECT '2018-07-05 18:07:00.000',2003700938,158666,2300231016,1
UNION ALL SELECT '2018-07-06 20:15:00.000',2005719626,158666,2300231016,7
UNION ALL SELECT '2018-07-07 07:45:00.000',2005719879,158666,2300231016,8
UNION ALL SELECT '2018-07-07 12:13:00.000',2005719931,158666,2300231016,9
UNION ALL SELECT '2018-07-09 18:29:00.000',2009395510,158666,2300231016,8
UNION ALL SELECT '2018-07-09 21:05:00.000',2009395523,158666,2300231016,6
UNION ALL SELECT '2018-07-11 21:31:00.000',2011107312,158666,2300231016,5
UNION ALL SELECT '2018-06-27 18:23:00.000',1991016381,258669,2300231016,4
UNION ALL SELECT '2018-06-27 19:07:00.000',1991181365,258669,2300231016,4
UNION ALL SELECT '2018-06-27 19:28:00.000',1991181376,258669,2300231016,3
UNION ALL SELECT '2018-06-28 01:44:00.000',1991583923,258669,2300231016,9
UNION ALL SELECT '2018-06-28 02:19:00.000',1991583943,258669,2300231016,2
UNION ALL SELECT '2018-07-03 10:15:00.000',1999231742,258669,2300231016,1
UNION ALL SELECT '2018-07-03 10:45:00.000',2000293679,258669,2300231016,1
UNION ALL SELECT '2018-07-03 14:22:00.000',2000293804,258669,2300231016,3
UNION ALL SELECT '2018-07-04 19:45:00.000',2002057785,258669,2300231016,2
UNION ALL SELECT '2018-07-04 21:00:00.000',2002057813,258669,2300231016,1
UNION ALL SELECT '2018-07-05 15:12:00.000',2002548332,258669,2300231016,7
UNION ALL SELECT '2018-07-05 17:52:00.000',2003700719,258669,2300231016,6
UNION ALL SELECT '2018-07-09 22:30:00.000',2009395530,258669,2300231016,5
UNION ALL SELECT '2018-07-09 23:23:00.000',2009395666,258669,2300231016,3
UNION ALL SELECT '2018-07-30 17:45:00.000',2043642075,158666,2300231016,2
UNION ALL SELECT '2018-07-30 23:30:00.000',2043642114,158666,2300231016,4
;WITH NextEventLag AS(
--Returns the next event information.
SELECT
ORDER_TIME
,ORDER_ID
,PROD_ID
,ACCOUNT_ID
,RowNum = ROW_NUMBER() OVER(PARTITION BY ACCOUNT_ID, PROD_ID ORDER BY ORDER_TIME)
--NEXT_ORDER_TIME_LAG: Returns the time difference between two consecutive order times.
,NEXT_ORDER_TIME_LAG = DATEDIFF(MINUTE, LAG(ORDER_TIME, 1, ORDER_TIME) OVER(PARTITION BY ACCOUNT_ID, PROD_ID ORDER BY ORDER_TIME), ORDER_TIME)
,ORDER_QUANTITY
FROM #Data
)
,RunningOrders AS(
SELECT
RowNum
,ORDER_TIME
,ACCOUNT_ID
,PROD_ID
,NEXT_ORDER_TIME_LAG
,LAG_LESS_THAN_24h = 0
,ORDER_QUANTITY
FROM NextEventLag
WHERE RowNum = 1
UNION ALL
SELECT
NextEventLag.RowNum
,NextEventLag.ORDER_TIME
,NextEventLag.ACCOUNT_ID
,NextEventLag.PROD_ID
,NextEventLag.NEXT_ORDER_TIME_LAG
--If the time lag between consecutive events and the time running sum is over 1440 minutes then set the value to 0.
--Change the NEXT_ORDER_TIME_LAG time interval to the desired interval value in minutes.
,LAG_LESS_THAN_24h = CASE WHEN RunningOrders.LAG_LESS_THAN_24h + NextEventLag.NEXT_ORDER_TIME_LAG >= 1440 THEN 0
ELSE RunningOrders.LAG_LESS_THAN_24h + NextEventLag.NEXT_ORDER_TIME_LAG
END
,NextEventLag.ORDER_QUANTITY
FROM RunningOrders
INNER JOIN NextEventLag ON RunningOrders.RowNum + 1 = NextEventLag.RowNum
AND RunningOrders.ACCOUNT_ID = NextEventLag.ACCOUNT_ID
AND RunningOrders.PROD_ID = NextEventLag.PROD_ID
)
,GroupedLags AS(
--This Groups together the LAG(s) less than 1440 minutes and is used by the outer query window functions
--to calculate the running aggregates.
SELECT RunningOrders.*
,Running24h.*
FROM RunningOrders
CROSS APPLY(SELECT TOP 1
Groups = COUNT(*) OVER(ORDER BY GroupApply.LAG_LESS_THAN_24h) --Count admin units within the time window in the WHERE clause
FROM RunningOrders AS GroupApply
WHERE
GroupApply.ACCOUNT_ID = RunningOrders.ACCOUNT_ID
AND GroupApply.PROD_ID = RunningOrders.PROD_ID
AND GroupApply.ORDER_TIME <= RunningOrders.ORDER_TIME
--ORDER BY StageBaseApply.ORDER_TIME
) AS Running24h
)
select
GroupedLags.ACCOUNT_ID
,GroupedLags.PROD_ID
,GroupedLags.ORDER_TIME
,GroupedLags.NEXT_ORDER_TIME_LAG
,GroupedLags.LAG_LESS_THAN_24h
,RUNNING_COUNT_24h = ROW_NUMBER() OVER(PARTITION BY GroupedLags.ACCOUNT_ID, GroupedLags.PROD_ID, GroupedLags.Groups ORDER BY GroupedLags.ORDER_TIME)
,RUNNING_SUM_24h = SUM(ORDER_QUANTITY) OVER(PARTITION BY GroupedLags.ACCOUNT_ID, GroupedLags.PROD_ID, GroupedLags.Groups ORDER BY GroupedLags.ORDER_TIME)
from GroupedLags
ORDER BY
GroupedLags.ACCOUNT_ID
,GroupedLags.PROD_ID
,GroupedLags.ORDER_TIME
Here is the db<>fiddle demo
I have the following table:
What I want is to get to this:
EventTypeId 1 and 3 are valid start events and EventTypeId of 2 is the only valid end event.
I have tried to do a pivot, but I don't believe a pivot will get me the multiple events for a person in the result set.
SELECT PersonId, [1],[3],[2]
FROM
(
SELECT PersonId, EventTypeId, EventDate
from #PersonEvent
) as SourceTable
PIVOT
(
count(EventDate) FOR EventTypeId
IN ([1],[3],[2])
) as PivotTable
Select PersonID,
Min(Case WHEN EventTypeId IN (1,3) THEN EventDate END) as StartDate,
Min(Case WHEN EventTypeId IN (2) THEN EventDate END) as EndDate
FROM #PersonEvent
group by personid
I can do a cursor, but my original table is over 90,000 rows, and this is to be for a report, so I don't think I can use that option. Any other thoughts that I might be missing?
Assuming the table is called [dbo].[PersonEventRecords] this will work...
With StartEvents As
(
Select *
From [dbo].[PersonEventRecords]
Where EventTypeId In (1,3)
), EndEvents As
(
Select *
From [dbo].[PersonEventRecords]
Where EventTypeId In (2)
)
Select IsNull(se.PersonId,ee.PersonId) As PersonId,
se.EventTypeId As StartEventTypeId,
se.EventDate As StartEventDate,
ee.EventTypeId As EndEventTypeId,
ee.EventDate As EndEventDate
From StartEvents se
Full Outer Join EndEvents ee
On se.PersonId = ee.PersonId
And se.EventSequence = ee.EventSequence - 1
Order By IsNull(se.PersonId,ee.PersonId),
IsNull(se.EventDate,ee.EventDate);
/**** TEST DATA ****/
If Object_ID('[dbo].[PersonEventRecords]') Is Not Null
Drop Table [dbo].[PersonEventRecords];
Create Table [dbo].[PersonEventRecords]
(
PersonId Int,
EventTypeId Int,
EventDate Date,
EventSequence Int
);
Insert [dbo].[PersonEventRecords]
Select 1,1,'2012-10-13',1
Union All
Select 1,2,'2012-10-20',2
Union All
Select 1,1,'2012-11-01',3
Union All
Select 1,2,'2012-11-13',4
Union All
Select 2,1,'2012-05-07',1
Union All
Select 2,2,'2012-06-01',2
Union All
Select 2,3,'2012-07-01',3
Union All
Select 2,2,'2012-08-30',4
Union All
Select 3,2,'2012-04-05',1
Union All
Select 3,1,'2012-05-04',2
Union All
Select 3,2,'2012-05-24',3
Union All
Select 4,1,'2013-01-03',1
Union All
Select 4,1,'2013-02-20',2
Union All
Select 4,2,'2013-03-20',3;
Try this
SELECT E1.PersonId, E1.EventTypeId, E1.EventDate, E2.EventTypeId, E2.EventDate
FROM PersonEvent AS E1
OUTER APPLY(
SELECT TOP 1 PersonEvent.EventTypeId, PersonEvent.EventDate
FROM PersonEvent
WHERE PersonEvent.PersonId = E1.PersonId
AND PersonEvent.EventSequence = E1.EventSequence + 1
AND PersonEvent.EventTypeId = 2
) AS E2
WHERE E1.EventTypeId = 1 OR E1.EventTypeId = 3
UNION
SELECT E3.PersonId, NULL, NULL, E3.EventTypeId, E3.EventDate
FROM PersonEvent E3
WHERE E3.EventTypeId = 2
AND NOT EXISTS(
SELECT *
FROM PersonEvent
WHERE PersonEvent.PersonId = E3.PersonId
AND PersonEvent.EventSequence = E3.EventSequence - 1)
It is not completely clear how do you want the result to be ordered – add order as needed.