Complex Windowed Sum - New Requirement

  • Greetings,
    Your assistance is kindly requested for the following problem

    Description :
    A series of transactions issuing (I) or redeeming (R) bonds.
    A customer may be issued bonds one or more times. The bonds are entered in an "account" called UnitNo.
    A customer may have more than one UnitNo.
    A customer may have bonds redeemed. The withdrawals are made from a specific UnitNo.
    The ordering of the transactions is critical, otherwise the percentages will mean nothing.

    The requirements are :
    1) A running total of bond quantities issues and redeemed
    2) The total quantities of each customer combing all of the customer's UnitNo's
    3) The percentage of the customers' quantities w/r to the running total of bonds in circulation
    4) Showing for one specific customer (a) the current total of that customer and (b) the percentage of his bond quantities w/r to the total running count.
    5) An additional third column showing in which fiscal year the transactions took place.

    All these have been made to work by Mr Luis Cazares yesterday.

    NEW REQUIREMENTS
    1) Columns C004TotalQty and Columns C004Percentage must be filled for all rows, not just on the lines where Holder is C004
    When a transaction does not involve the C004 Customer, the C004Percentage must be updated to account for the increase in the RunningTotal column.

    2) An additional column giving the running DISTINCT count of Customers with each transaction.
    - a customer with any number of UnitNo's is to be counted as a single customer along as one UnitNo has a non-zero quantity.
    (so if a new transaction creates a new UnitNo for a customer who already had one or more other UnitNo's, this customer still counts as 1 customer)
    - a customer must be removed from the running count when a transaction leaves that customer with ALL empty UnitNo's. i.e. when the CustomerTotal falls to 0.

    Am I being too ambitious trying to do this in the same SELECT statement ?

    Thanks in advance for your help

    Table creation - updated to reflect the new column CustomerRunningCount in the TestResults table
    -------------------

    CREATE TABLE [dbo].[TestData]
    (
        [TrxNo] [int] NOT NULL Primary Key,
        [TrxType] [varchar](1) NOT NULL,
        [UnitNo] [varchar](255) NOT NULL,
        [Customer] [varchar](10) NOT NULL,
        [TrxDate] [date] NOT NULL,
        [TrxQty] [int] NOT NULL
    );

    CREATE TABLE [dbo].[TestResults]
    (
        [TrxNo] [int] NOT NULL Primary Key,
        [TrxType] [varchar](1) NOT NULL,
        [UnitNo] [varchar](255) NOT NULL,
        [Customer] [varchar](10) NOT NULL,
        [TrxDate] [date] NOT NULL,
        [TrxQty] [int] NOT NULL,

        [CustomerRunningCount] [int] NOT NULL DEFAULT 0,  -- <<<<<<<<<<< NEW COLUMN

        [CustomerTotal] [int] NOT NULL DEFAULT 0.0,
        [RunningTotal] [int] NOT NULL DEFAULT 0.0,
        [CustomerPercentage] [money] NOT NULL DEFAULT 0.0,
        [C0004TotalQty] [int] NOT NULL DEFAULT 0.0,
        [C0004Percentage] [money] NOT NULL DEFAULT 0.0,
        [FiscalYear] [int] NULL
    );

    -- Data Loading
    INSERT INTO [TestData]
    (
       [TrxNo],
       [TrxType],
       [UnitNo],
       [Customer],
       [TrxDate],
       [TrxQty]
    )
    SELECT 1, 'I', 'XBR-64 ', 'C0001' , '2004-07-06', 50000 UNION
    SELECT 2, 'I', 'XBR-63', 'C0002' , '2004-07-10', 125000 UNION
    SELECT 3, 'I', 'XBR-65', 'C0003' , '2004-07-19', 5000 UNION
    SELECT 4, 'I', 'XBR-66', 'C0004' , '2004-07-19', 70000 UNION
    SELECT 5, 'I', 'XBR-67', 'C0004' , '2004-07-19', 50000 UNION
    SELECT 6, 'I', 'XBR-68', 'C0005' , '2004-07-19', 50000 UNION
    SELECT 7, 'I', 'XBR-69', 'C0004' , '2004-09-25', 200000 UNION
    SELECT 8, 'I', 'XBR-70', 'C0004' , '2004-09-25', 100000 UNION
    SELECT 9, 'I', 'XBR-71 ', 'C0001', '2004-11-15', 80000 UNION
    SELECT 10, 'I', 'XBR-72', 'C0003' , '2004-12-10', 5000 UNION
    SELECT 11, 'I', 'XBR-75', 'C0007' , '2005-03-14', 15000 UNION
    SELECT 12, 'I', 'XBR-57', 'C0009' , '2005-04-01', 30000 UNION
    SELECT 13, 'I', 'XBR-37', 'C0007' , '2005-07-01', 25000 UNION
    SELECT 14, 'I', 'XBR-76', 'C0003' , '2005-07-26', 10000 UNION
    SELECT 15, 'I', 'XBR-77', 'C0010' , '2005-09-21', 25000 UNION
    SELECT 16, 'I', 'XBR-80', 'C0004' , '2005-10-21', 700000 UNION
    SELECT 17, 'I', 'XBR-78', 'C0003' , '2005-10-24', 10000 UNION
    SELECT 18, 'R', 'XBR-79', 'C0007' , '2005-10-24', -20000 UNION
    SELECT 19, 'R', 'XBR-79', 'C0007' , '2005-10-25', -20000 UNION
    SELECT 20, 'I', 'XBR-83', 'C0004' , '2006-03-13', 600000 UNION
    SELECT 21, 'R', 'XBR-57', 'C0009' , '2006-04-01', -30000 UNION
    SELECT 22, 'I', 'XBR-92', 'C0004' , '2008-02-21', 500000 UNION
    SELECT 23, 'I', 'XBR-93', 'C0004' , '2008-02-21', 500000

    -- Loading of the TestResults table
    INSERT INTO [TestResults]
    (
        [TrxNo],
        [TrxType],
        [UnitNo],
        [Customer],
        [TrxDate],
        [TrxQty],
        [CustomerRunningCount],
        [CustomerTotal],
        [RunningTotal],
        [CustomerPercentage],
        [C0004TotalQty],
        [C0004Percentage],
        [FiscalYear]
    )
    SELECT
        [TrxNo],
        [TrxType],
        [UnitNo],
        [Customer],
        [TrxDate],
        [TrxQty],
        -1 --   <<<< CANNOT MAKE THIS WORK    SUM([TrxQty]) OVER (PARTITION BY [Customer] ORDER BY [TrxNo]),
        SUM([TrxQty]) OVER (ORDER BY [TrxNo]),
        (SUM([TrxQty]) OVER (PARTITION BY [Customer] ORDER BY [TrxNo]) * 100) / SUM([TrxQty]) OVER (ORDER BY [TrxNo]),
        SUM(CASE WHEN Customer = 'C0004' THEN TrxQty ELSE 0 END)  OVER (PARTITION BY [Customer] ORDER BY [TrxNo]),
        (SUM(CASE WHEN Customer = 'C0004' THEN TrxQty ELSE 0 END) OVER (PARTITION BY [Customer] ORDER BY [TrxNo]) * 
              100.) / SUM([TrxQty]) OVER (ORDER BY [TrxNo]),
        YEAR(DATEADD(MM,-4,trxDate))
    FROM [TestData]
    ORDER BY [TrxNo]

    Expected Results
    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

  • I'm not sure your expected results are correct.   Please take a look at the following code and let me know where I may have messed up.   I had to make a change to the CustomerTotal column because it appears that the total should be based on the UnitNo as well as the customer, or is that intended to just be the total quantity for the customer to date?   In any case, I think the running count of customers you show isn't quite right.   I derived a column in a CTE that represents when you have to remove that customer from the running count, and the numbers it's generating appear to be right.   Let me know.   Here's the code: CREATE TABLE #TestData (
        TrxNo int NOT NULL PRIMARY KEY,
        TrxType varchar(1) NOT NULL,
      UnitNo varchar(255) NOT NULL,
      Customer varchar(10) NOT NULL,
      TrxDate date NOT NULL,
      TrxQty int NOT NULL
    );
    CREATE TABLE #TestResults (
        [TrxNo] [int] NOT NULL Primary Key,
        TrxType varchar(1) NOT NULL,
        UnitNo varchar(255) NOT NULL,
        Customer varchar(10) NOT NULL,
        TrxDate date NOT NULL,
        TrxQty int NOT NULL,
        CustomerRunningCount int NOT NULL DEFAULT 0, -- <<<<<<<<<<< NEW COLUMN
        CustomerTotal int NOT NULL DEFAULT 0.0,
        RunningTotal int NOT NULL DEFAULT 0.0,
        CustomerPercentage money NOT NULL DEFAULT 0.0,
        C0004TotalQty int NOT NULL DEFAULT 0.0,
        C0004Percentage money NOT NULL DEFAULT 0.0,
        FiscalYear int NULL
    );

    -- Data Loading
    INSERT INTO #TestData (TrxNo, TrxType, UnitNo, Customer, TrxDate, TrxQty)
        SELECT 1, 'I', 'XBR-64 ', 'C0001' , '2004-07-06', 50000 UNION
        SELECT 2, 'I', 'XBR-63', 'C0002' , '2004-07-10', 125000 UNION
        SELECT 3, 'I', 'XBR-65', 'C0003' , '2004-07-19', 5000 UNION
        SELECT 4, 'I', 'XBR-66', 'C0004' , '2004-07-19', 70000 UNION
        SELECT 5, 'I', 'XBR-67', 'C0004' , '2004-07-19', 50000 UNION
        SELECT 6, 'I', 'XBR-68', 'C0005' , '2004-07-19', 50000 UNION
        SELECT 7, 'I', 'XBR-69', 'C0004' , '2004-09-25', 200000 UNION
        SELECT 8, 'I', 'XBR-70', 'C0004' , '2004-09-25', 100000 UNION
        SELECT 9, 'I', 'XBR-71 ', 'C0001', '2004-11-15', 80000 UNION
        SELECT 10, 'I', 'XBR-72', 'C0003' , '2004-12-10', 5000 UNION
        SELECT 11, 'I', 'XBR-75', 'C0007' , '2005-03-14', 15000 UNION
        SELECT 12, 'I', 'XBR-57', 'C0009' , '2005-04-01', 30000 UNION
        SELECT 13, 'I', 'XBR-37', 'C0007' , '2005-07-01', 25000 UNION
        SELECT 14, 'I', 'XBR-76', 'C0003' , '2005-07-26', 10000 UNION
        SELECT 15, 'I', 'XBR-77', 'C0010' , '2005-09-21', 25000 UNION
        SELECT 16, 'I', 'XBR-80', 'C0004' , '2005-10-21', 700000 UNION
        SELECT 17, 'I', 'XBR-78', 'C0003' , '2005-10-24', 10000 UNION
        SELECT 18, 'R', 'XBR-79', 'C0007' , '2005-10-24', -20000 UNION
        SELECT 19, 'R', 'XBR-79', 'C0007' , '2005-10-25', -20000 UNION
        SELECT 20, 'I', 'XBR-83', 'C0004' , '2006-03-13', 600000 UNION
        SELECT 21, 'R', 'XBR-57', 'C0009' , '2006-04-01', -30000 UNION
        SELECT 22, 'I', 'XBR-92', 'C0004' , '2008-02-21', 500000 UNION
        SELECT 23, 'I', 'XBR-93', 'C0004' , '2008-02-21', 500000;

    WITH RunningCountValues AS (

        SELECT TD.TrxNo, TD.Customer,
            CASE
                WHEN SUM(TD.TrxQty) OVER(PARTITION BY TD.Customer, TD.UnitNo ORDER BY TD.TrxNo) = 0 AND X.PrevRowCustExists = 1 THEN -1
                WHEN SUM(TD.TrxQty) OVER(PARTITION BY TD.Customer, TD.UnitNo ORDER BY TD.TrxNo) <> 0 AND X.PrevRowCustExists = 0 THEN 1
                ELSE 0
            END AS RunningCustomer,
            X.PrevRowCustExists
        FROM #TestData AS TD
            CROSS APPLY (
                VALUES (CASE WHEN EXISTS (SELECT 1 FROM #TestData AS T2 WHERE T2.Customer = TD.Customer AND T2.TrxNo < TD.TrxNo) THEN 1 ELSE 0 END)
                ) AS X(PrevRowCustExists)
        --ORDER BY TD.TrxNo
    )
    -- Loading of the TestResults table
    INSERT INTO #TestResults (
        TrxNo, TrxType, UnitNo, Customer, TrxDate, TrxQty, CustomerRunningCount, CustomerTotal,
        RunningTotal, CustomerPercentage, C0004TotalQty, C0004Percentage, FiscalYear)
    SELECT
        T.TrxNo,
        T.TrxType,
        T.UnitNo,
        T.Customer,
        T.TrxDate,
        T.TrxQty,
        SUM(RCV.RunningCustomer) OVER(ORDER BY T.TrxNo) AS CustomerRunningCount,
        --COUNT(DISTINCT Customer) OVER(ORDER BY TrxNo) AS CustomerRunningCount, -- <<<< CANNOT MAKE THIS WORK - SQL WON'T ALLOW IT.
        SUM(T.TrxQty) OVER (PARTITION BY T.Customer, T.UnitNo ORDER BY T.TrxNo) AS CustomerTotal,    -- CHANGED to add UnitNo into the mix.
        SUM(T.TrxQty) OVER (ORDER BY T.TrxNo) AS RunningTotal,
        (SUM(T.TrxQty) OVER (PARTITION BY T.Customer ORDER BY T.TrxNo) * 100) / SUM(T.TrxQty) OVER (ORDER BY T.TrxNo) AS CustomerPercentage,
        SUM(CASE WHEN T.Customer = 'C0004' THEN T.TrxQty ELSE 0 END) OVER (PARTITION BY T.Customer ORDER BY T.TrxNo) AS C0004TotalQty,
        (SUM(CASE WHEN T.Customer = 'C0004' THEN T.TrxQty ELSE 0 END) OVER (PARTITION BY T.Customer ORDER BY T.TrxNo) * 100.) /
            SUM(T.TrxQty) OVER (ORDER BY T.TrxNo) AS C0004Percentage,
        YEAR(DATEADD(MM, -4, T.trxDate)) AS FiscalYear
    FROM #TestData AS T
        INNER JOIN RunningCountValues AS RCV
            ON T.TrxNo = RCV.TrxNo
    ORDER BY T.TrxNo;

    SELECT *
    FROM #TestResults
    ORDER BY TrxNo;

    DROP TABLE #TestData;
    DROP TABLE #TestResults;

    Steve (aka sgmunson) 🙂 🙂 🙂
    Rent Servers for Income (picks and shovels strategy)

  • The CustomerTotal is the "to-date" value, i.e. the current sum of all quantities in all units up till the current transaction.

    If an existing customer acquires a second UnitNo, the customer count is not increased.

    A customer remains in the CustomerCount until the sum of all its UnitNo's is brought down to 0 by a transaction. Then the count has to decrease by 1.

    On line 18, C007 previously had 40,000 units (15,000 + 25,000) so subtracting 20,000 leaves him with 20,000 units
    On line 19 C007 loses again 20,000 and its total falls down to zero.

    Your help is greatly appreciated.

  • j-1064772 - Friday, April 13, 2018 12:53 PM

    The CustomerTotal is the "to-date" value, i.e. the current sum of all quantities in all units up till the current transaction.

    If an existing customer acquires a second UnitNo, the customer count is not increased.

    A customer remains in the CustomerCount until the sum of all its UnitNo's is brought down to 0 by a transaction. Then the count has to decrease by 1.

    On line 18, C007 previously had 40,000 units (15,000 + 25,000) so subtracting 20,000 leaves him with 20,000 units
    On line 19 C007 loses again 20,000 and its total falls down to zero.

    Your help is greatly appreciated.

    Yes, but... those are units of different issue.   You can't subtract some number of issue X from the same number of issue Y and say that person actually has 0 units of any issue.  Or is there something about this that I am entirely missing?

    Steve (aka sgmunson) 🙂 🙂 🙂
    Rent Servers for Income (picks and shovels strategy)

  • The sum of quantities encompasses all the UnitNo's of a customer in one single Total Qty for each customer, not separate sums for each individual UnitNo.

    I would expect the person who creates the transaction is bright enough to to know better than keeping removing quantities from an already depleted UnitNo, resulting in negative quantities.

    Sorry I could not answer earlier, I've been really sick. How ironic for me your tag line about "health and nutrition" ...
    Regards

  • j-1064772 - Monday, April 16, 2018 2:05 PM

    The sum of quantities encompasses all the UnitNo's of a customer in one single Total Qty for each customer, not separate sums for each individual UnitNo.

    I would expect the person who creates the transaction is bright enough to to know better than keeping removing quantities from an already depleted UnitNo, resulting in negative quantities.

    Sorry I could not answer earlier, I've been really sick. How ironic for me your tag line about "health and nutrition" ...
    Regards

    Sorry to hear that you've been sick.   Hopefully, things will improve for you soon.

    As to your sample data: Customer C007 adds units to XBR-75 and XBR-37, but then redeems entirely from XBR-79.  Additionally, there aren't enough units in either one that's added to initially, to then be able to make both 20,000 unit redemptions.   Thus my conclusion is that the sample data is either flawed or incomplete, making it inadequate to properly test a solution.  If you can correct that, I can fix it easily enough.

    Interesting coincidence, that irony.   I've had that signature here for quite a few years now.   If that link in my signature generates questions, feel free to private message me here and I'll get you answers.

    Steve (aka sgmunson) 🙂 🙂 🙂
    Rent Servers for Income (picks and shovels strategy)

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