I am trying to write a query that would get the customers with 7 consecutive transactions given a list of CustomerKeys.
I am currently doing a self join on Customer fact table that has 700 Million records in SQL Server 2008.
This is is what I came up with but its taking a long time to run. I have an clustered index as (CustomerKey, TranDateKey
)
SELECT
ct1.CustomerKey,ct1.TranDateKey
FROM
CustomerTransactionFact ct1
INNER JOIN
#CRTCustomerList dl ON ct1.CustomerKey = dl.CustomerKey --temp table with customer list
INNER JOIN
dbo.CustomerTransactionFact ct2 ON ct1.CustomerKey = ct2.CustomerKey -- Same Customer
AND ct2.TranDateKey >= ct1.TranDateKey
AND ct2.TranDateKey <= CONVERT(VARCHAR(8), (dateadd(d, 6, ct1.TranDateTime), 112) -- Consecutive Transactions in the last 7 days
WHERE
ct1.LogID >= 82800000
AND ct2.LogID >= 82800000
AND ct1.TranDateKey between dl.BeginTranDateKey and dl.EndTranDateKey
AND ct2.TranDateKey between dl.BeginTranDateKey and dl.EndTranDateKey
GROUP BY
ct1.CustomerKey,ct1.TranDateKey
HAVING
COUNT(*) = 7
Please help make it more efficient. Is there a better way to write this query in 2008?
You can do this using window functions, which should be much faster. Assuming that
TranDateKey
is a number and you can subtract a sequential number from it, then the difference constant for consecutive days.You can put this in a query like this:
If your date key is something else, there is probably a way to modify the query to handle that, but you might have to join to the dimension table.