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OVER( [ <PARTITION BY clause> ]
[ <ORDER BY clause> ]
[ <ROW or RANGE clause> ] )

• PARTITION BY • ORDER BY • ROWS | RANGE -
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LAST_VALUE(scalar_expression)
OVER ([partition_by_clause] order_by_clause)

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SELECT OrderID, CustomerID,
FIRST_VALUE(OrderID) OVER(PARTITION BY CustomerID ORDER BY OrderID
ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)
AS FirstOrderID
FROM dbo.Orders
WHERE CustomerID IN (1,2)
SELECT OrderID, CustomerID,
LAST_VALUE(OrderID) OVER(PARTITION BY CustomerID ORDER BY OrderID
ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)
AS FirstOrderID

FROM dbo.Orders
WHERE CustomerID IN (1,2)
SELECT st1.[Date], st1.TicketCount,
RunningTotal = SUM(st2.TicketCount)
FROM dbo.SpeedingTickets AS st1
INNER JOIN dbo.SpeedingTickets AS st2
ON st2.[Date] <= st1.[Date]
GROUP BY st1.[Date], st1.TicketCount
ORDER BY st1.[Date];

From Aaron Bertrand
SELECT [Date], TicketCount,
RunningTotal = TicketCount +
COALESCE(( SELECT SUM(TicketCount)
FROM dbo.SpeedingTickets AS s
WHERE s.[Date] < o.[Date]), 0 )
FROM dbo.SpeedingTickets AS o
ORDER BY [Date];
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LAG (scalar_expression [,offset] [,default])
OVER ([partition_by_clause] order_by_clause)

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CUME_DIST ( ) OVER
([ partition_by_clause ] order_by_clause)

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PERCENT_RANK ( ) OVER
([ partition_by_clause ] order_by_clause)

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PERCENTILE_DISC ( numeric_literal) WITHIN GROUP (
ORDER BY expression) OVER ([<partition_by_clause> ] )

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PERCENTILE_CONT ( numeric_literal) WITHIN GROUP (
ORDER BY expression) OVER ([<partition_by_clause> ] )

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Deck by Shy Engelberg and Kevin Boles

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