![]() I said previously that it would be possible to express this in T-SQL that this can be done with a single iteration over the data. Why is computation not restarting for each partition? Note the phrase computation restarts for each partition. When Response changes I want to restart the aggragate. In my case I want to calculate an aggregate by Response ordered by SerialNumber,LastResponse. Notice that the aggregates are calculated by SalesOrderID and the Percent by ProductID is calculated for each line of each SalesOrderID. *100 AS DECIMAL(5,2))AS "Percent by ProductID" * OrderQty / SUM(OrderQty) OVER(PARTITION BY SalesOrderID) ,SUM(OrderQty) OVER(PARTITION BY SalesOrderID) AS Total See also this example: USE AdventureWorks2012 The window function is applied to each partition separately and computation restarts for each partition. I understand the window function to sum once - the value being summed depends on the comparison of Response/LastResponse.ĭivides the query result set into partitions. ![]() I don't understand what you mean by this. 9 (X64) 16:50:01 Copyright (C) 2019 Microsoft Corporation Developer Edition (64-bit) on Windows 10 Pro 10.0 (Build 18363: )įirst SUM partition :Response=0", "second SUM partition :Response=1" Why does this occur?ġ69098-consecutive-values-problem.txt select SQL Server 2019 (RTM-GDR) (KB4583458). At a minimum I would expect those rows to return identical results. The first three rows on the prod server are exactly the same as what is provided in the example. I had to truncate some data to keep the example small, however as shown in the screen cap below the SameConsecutiveResponseCount starts at 3 and increments by 3 for each row. ) The same query as the attached run against the same data on our production server yields different results. For example the following row returned by the query against TableB shows a value of 2 in the SameConsecutiveResponseCount column: 00:00:00.000Ė7115991đĐĒįor the query as written in the attached script, how is the value 2 calculated? What does the value 2 represent?ģ. That said, the results returned by the query appear to be inconsistent and unmatchable to any pattern demonstated in the data. ) Query in attached script is obviously incorrect with respect to accomplishing the task stated above. Restart from zero each time the value changes.Īttached script creates a db with two tables that shows an attempt to accomplish the above.Ģ. ) How to count consecutive values across rows? Start from zero and count cumulatively each time the value repeats.
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