Optimize PIVOT table to include unlimited column and QTY of SKU - Help

  • [font="Courier New"]--Need some help reformatting data in a PIVOT Table or find a better way to display.

    --ORDERDETAIL TABLE

    SKUO   QTYO    ORDERIDO

    KUM    1   12345

    KUS    2   12345

    SUK    1   12345

    KHN    4   12345

    DRE    1   12345

    HGF    2   12345

    FDE    1   12345

    CDS    1   12345

    GYT    1   12345

    POI    3   12345

    LKH    2   12345

    TTT    4   12345

    JHG    8   12345

    YUI    2   12345

    WQE    1   12345

    PMN    1   12345

    BVC    1   12345

    ABD    1   12345

    CDE    1   89001

    TUI    2   89001

    JHU    1   89001

    LKO    2   76543

    Number of SKU's in order could be over 1000.

    Looking to change my current pivot table to allow an unlimited number of SKU's and add QTY.

    Data I am looking to get.  MAX of 15 SKUS Per line.

    ORDERID    SKU1    QTY1    SKU2    QTY2    SKU3    QTY3    SKU4    QTY4    SKU5    QTY5    SKU6    QTY6    SKU7    QTY7    SKU8    QTY8    SKU9    QTY9    SKU10   QTY10   SKU11   QTY11   SKU12   QTY12   SKU13   QTY13   SKU14   QTY14   SKU15   QTY15  

    12345  KUM 1   KUS 2   SUK 1   KHN 4   DRE 1   HGF 2   FDE 1   CDS 1   GYT 1   POI 3   LKH 2   TTT 4   JHG 8   YUI 2   WQE 1  

    12345  PMN 1   BVC 1   ABD 1   NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL

    89001  CDE 1   TUI 2   JHU 1   NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL

    76543  LKO 2   NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL

    CURRENT PIVOT ONLY GOES TO 150 - BELOW

    SELECT     PKGCUSTOM4, [1] AS [SKU1], [2] AS [SKU2], [3] AS [SKU3], [4] AS [SKU4], [5] AS [SKU5], [6] AS [SKU6], [7] AS [SKU7], [8] AS [SKU8], [9] AS [SKU9], [10] AS [SKU10],

                          [11] AS [SKU11], [12] AS [SKU12], [13] AS [SKU13], [14] AS [SKU14], [15] AS [SKU15], [16] AS [SKU16], [17] AS [SKU17], [18] AS [SKU18], [19] AS [SKU19],

                          [20] AS [SKU20], [21] AS [SKU21], [22] AS [SKU22], [23] AS [SKU23], [24] AS [SKU24], [25] AS [SKU25], [26] AS [SKU26], [27] AS [SKU27], [28] AS [SKU28],

                          [29] AS [SKU29], [30] AS [SKU30], [31] AS [SKU31], [32] AS [SKU32], [33] AS [SKU33], [34] AS [SKU34], [35] AS [SKU35], [36] AS [SKU36], [37] AS [SKU37],

                          [38] AS [SKU38], [39] AS [SKU39], [40] AS [SKU40], [41] AS [SKU41], [42] AS [SKU42], [43] AS [SKU43], [44] AS [SKU44], [45] AS [SKU45], [46] AS [SKU46],

                          [47] AS [SKU47], [48] AS [SKU48], [49] AS [SKU49], [50] AS [SKU50], [51] AS [SKU51], [52] AS [SKU52], [53] AS [SKU53], [54] AS [SKU54], [55] AS [SKU55],

                          [56] AS [SKU56], [57] AS [SKU57], [58] AS [SKU58], [59] AS [SKU59], [60] AS [SKU60], [61] AS [SKU61], [62] AS [SKU62], [63] AS [SKU63], [64] AS [SKU64],

                          [65] AS [SKU65], [66] AS [SKU66], [67] AS [SKU67], [68] AS [SKU68], [69] AS [SKU69], [70] AS [SKU70], [71] AS [SKU71], [72] AS [SKU72], [73] AS [SKU73],

                          [74] AS [SKU74], [75] AS [SKU75], [76] AS [SKU76], [77] AS [SKU77], [78] AS [SKU78], [79] AS [SKU79], [80] AS [SKU80], [81] AS [SKU81], [82] AS [SKU82],

                          [83] AS [SKU83], [84] AS [SKU84], [85] AS [SKU85], [86] AS [SKU86], [87] AS [SKU87], [88] AS [SKU88], [89] AS [SKU89], [90] AS [SKU90], [91] AS [SKU91],

                          [92] AS [SKU92], [93] AS [SKU93], [94] AS [SKU94], [95] AS [SKU95], [96] AS [SKU96], [97] AS [SKU97], [98] AS [SKU98], [99] AS [SKU99], [100] AS [SKU100],

                          [101] AS [SKU101], [102] AS [SKU102], [103] AS [SKU103], [104] AS [SKU104], [105] AS [SKU105], [106] AS [SKU106], [107] AS [SKU107], [108] AS [SKU108],

                          [109] AS [SKU109], [110] AS [SKU110], [111] AS [SKU111], [112] AS [SKU112], [113] AS [SKU113], [114] AS [SKU114], [115] AS [SKU115], [116] AS [SKU116],

                          [117] AS [SKU117], [118] AS [SKU118], [119] AS [SKU119], [120] AS [SKU120], [121] AS [SKU121], [122] AS [SKU122], [123] AS [SKU123], [124] AS [SKU124],

                          [125] AS [SKU125], [126] AS [SKU126], [127] AS [SKU127], [128] AS [SKU128], [129] AS [SKU129], [130] AS [SKU130], [131] *** [SKU131], [132] AS [SKU132],

                          [133] AS [SKU133], [134] AS [SKU134], [135] AS [SKU135], [136] AS [SKU136], [137] AS [SKU137], [138] AS [SKU138], [139] AS [SKU139], [140] AS [SKU140],

                          [141] AS [SKU141], [142] AS [SKU142], [143] AS [SKU143], [144] AS [SKU144], [145] AS [SKU145], [146] AS [SKU146], [147] AS [SKU147], [148] AS [SKU148],

                          [149] AS [SKU149], [150] AS [SKU150]

    FROM         (SELECT DISTINCT PKGCUSTOM4, PKGCUSTOM1, ROW_NUMBER() OVER (PARTITION BY PKGCUSTOM4

                           ORDER BY PKGCUSTOM4) rownum

    FROM         dbo.COMMERCEHUB

    WHERE     MOVED IS NULL) t PIVOT (MAX(PKGCUSTOM1) FOR rownum IN ([1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23],

    [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58],

    [59], [60], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70], [71], [72], [73], [74], [75], [76], [77], [78], [79], [80], [81], [82], [83], [84], [85], [86], [87], [88], [89], [90], [91], [92], [93],

    [94], [95], [96], [97], [98], [99], [100], [101], [102], [103], [104], [105], [106], [107], [108], [109], [110], [111], [112], [113], [114], [115], [116], [117], [118], [119], [120], [121], [122],

    [123], [124], [125], [126], [127], [128], [129], [130], [131], [132], [133], [134], [135], [136], [137], [138], [139], [140], [141], [142], [143], [144], [145], [146], [147], [148], [149], [150])) p[/font]

    For more flexible code layout functionality from within SQL Server Management Studio or Visual Studio, download Red Gate SQL Prompt.

  • Can you use SSRS, or are you doing this in a query only?

  • Its a query only from classic asp code.

  • You might want to read Dwain Camps' article on Creating Dynamic Crosstabs... that might give you some ideas.

  • wit_jp2001 (1/24/2014)


    [font="Courier New"]--Need some help reformatting data in a PIVOT Table or find a better way to display.

    --ORDERDETAIL TABLE

    SKUO   QTYO    ORDERIDO

    KUM    1   12345

    KUS    2   12345

    SUK    1   12345

    KHN    4   12345

    DRE    1   12345

    HGF    2   12345

    FDE    1   12345

    CDS    1   12345

    GYT    1   12345

    POI    3   12345

    LKH    2   12345

    TTT    4   12345

    JHG    8   12345

    YUI    2   12345

    WQE    1   12345

    PMN    1   12345

    BVC    1   12345

    ABD    1   12345

    CDE    1   89001

    TUI    2   89001

    JHU    1   89001

    LKO    2   76543

    Number of SKU's in order could be over 1000.

    Looking to change my current pivot table to allow an unlimited number of SKU's and add QTY.

    Data I am looking to get.  MAX of 15 SKUS Per line.

    ORDERID    SKU1    QTY1    SKU2    QTY2    SKU3    QTY3    SKU4    QTY4    SKU5    QTY5    SKU6    QTY6    SKU7    QTY7    SKU8    QTY8    SKU9    QTY9    SKU10   QTY10   SKU11   QTY11   SKU12   QTY12   SKU13   QTY13   SKU14   QTY14   SKU15   QTY15  

    12345  KUM 1   KUS 2   SUK 1   KHN 4   DRE 1   HGF 2   FDE 1   CDS 1   GYT 1   POI 3   LKH 2   TTT 4   JHG 8   YUI 2   WQE 1  

    12345  PMN 1   BVC 1   ABD 1   NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL

    89001  CDE 1   TUI 2   JHU 1   NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL

    76543  LKO 2   NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL

    CURRENT PIVOT ONLY GOES TO 150 - BELOW

    SELECT     PKGCUSTOM4, [1] AS [SKU1], [2] AS [SKU2], [3] AS [SKU3], [4] AS [SKU4], [5] AS [SKU5], [6] AS [SKU6], [7] AS [SKU7], [8] AS [SKU8], [9] AS [SKU9], [10] AS [SKU10],

                          [11] AS [SKU11], [12] AS [SKU12], [13] AS [SKU13], [14] AS [SKU14], [15] AS [SKU15], [16] AS [SKU16], [17] AS [SKU17], [18] AS [SKU18], [19] AS [SKU19],

                          [20] AS [SKU20], [21] AS [SKU21], [22] AS [SKU22], [23] AS [SKU23], [24] AS [SKU24], [25] AS [SKU25], [26] AS [SKU26], [27] AS [SKU27], [28] AS [SKU28],

                          [29] AS [SKU29], [30] AS [SKU30], [31] AS [SKU31], [32] AS [SKU32], [33] AS [SKU33], [34] AS [SKU34], [35] AS [SKU35], [36] AS [SKU36], [37] AS [SKU37],

                          [38] AS [SKU38], [39] AS [SKU39], [40] AS [SKU40], [41] AS [SKU41], [42] AS [SKU42], [43] AS [SKU43], [44] AS [SKU44], [45] AS [SKU45], [46] AS [SKU46],

                          [47] AS [SKU47], [48] AS [SKU48], [49] AS [SKU49], [50] AS [SKU50], [51] AS [SKU51], [52] AS [SKU52], [53] AS [SKU53], [54] AS [SKU54], [55] AS [SKU55],

                          [56] AS [SKU56], [57] AS [SKU57], [58] AS [SKU58], [59] AS [SKU59], [60] AS [SKU60], [61] AS [SKU61], [62] AS [SKU62], [63] AS [SKU63], [64] AS [SKU64],

                          [65] AS [SKU65], [66] AS [SKU66], [67] AS [SKU67], [68] AS [SKU68], [69] AS [SKU69], [70] AS [SKU70], [71] AS [SKU71], [72] AS [SKU72], [73] AS [SKU73],

                          [74] AS [SKU74], [75] AS [SKU75], [76] AS [SKU76], [77] AS [SKU77], [78] AS [SKU78], [79] AS [SKU79], [80] AS [SKU80], [81] AS [SKU81], [82] AS [SKU82],

                          [83] AS [SKU83], [84] AS [SKU84], [85] AS [SKU85], [86] AS [SKU86], [87] AS [SKU87], [88] AS [SKU88], [89] AS [SKU89], [90] AS [SKU90], [91] AS [SKU91],

                          [92] AS [SKU92], [93] AS [SKU93], [94] AS [SKU94], [95] AS [SKU95], [96] AS [SKU96], [97] AS [SKU97], [98] AS [SKU98], [99] AS [SKU99], [100] AS [SKU100],

                          [101] AS [SKU101], [102] AS [SKU102], [103] AS [SKU103], [104] AS [SKU104], [105] AS [SKU105], [106] AS [SKU106], [107] AS [SKU107], [108] AS [SKU108],

                          [109] AS [SKU109], [110] AS [SKU110], [111] AS [SKU111], [112] AS [SKU112], [113] AS [SKU113], [114] AS [SKU114], [115] AS [SKU115], [116] AS [SKU116],

                          [117] AS [SKU117], [118] AS [SKU118], [119] AS [SKU119], [120] AS [SKU120], [121] AS [SKU121], [122] AS [SKU122], [123] AS [SKU123], [124] AS [SKU124],

                          [125] AS [SKU125], [126] AS [SKU126], [127] AS [SKU127], [128] AS [SKU128], [129] AS [SKU129], [130] AS [SKU130], [131] *** [SKU131], [132] AS [SKU132],

                          [133] AS [SKU133], [134] AS [SKU134], [135] AS [SKU135], [136] AS [SKU136], [137] AS [SKU137], [138] AS [SKU138], [139] AS [SKU139], [140] AS [SKU140],

                          [141] AS [SKU141], [142] AS [SKU142], [143] AS [SKU143], [144] AS [SKU144], [145] AS [SKU145], [146] AS [SKU146], [147] AS [SKU147], [148] AS [SKU148],

                          [149] AS [SKU149], [150] AS [SKU150]

    FROM         (SELECT DISTINCT PKGCUSTOM4, PKGCUSTOM1, ROW_NUMBER() OVER (PARTITION BY PKGCUSTOM4

                           ORDER BY PKGCUSTOM4) rownum

    FROM         dbo.COMMERCEHUB

    WHERE     MOVED IS NULL) t PIVOT (MAX(PKGCUSTOM1) FOR rownum IN ([1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23],

    [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58],

    [59], [60], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70], [71], [72], [73], [74], [75], [76], [77], [78], [79], [80], [81], [82], [83], [84], [85], [86], [87], [88], [89], [90], [91], [92], [93],

    [94], [95], [96], [97], [98], [99], [100], [101], [102], [103], [104], [105], [106], [107], [108], [109], [110], [111], [112], [113], [114], [115], [116], [117], [118], [119], [120], [121], [122],

    [123], [124], [125], [126], [127], [128], [129], [130], [131], [132], [133], [134], [135], [136], [137], [138], [139], [140], [141], [142], [143], [144], [145], [146], [147], [148], [149], [150])) p[/font]

    For more flexible code layout functionality from within SQL Server Management Studio or Visual Studio, download Red Gate SQL Prompt.

    Part of the reason why you most likely are only getting verbal suggestions instead of code examples is because you've not provided

    your data in a readily consumable format. Please help yourself in the future by reading and heeding the article at the first link in

    my signature line below under "Helpful Links".

    On to the problem.

    First, let's not mess around with a small number of rows. Let's do this with a little performance testing in mind.

    The following will create a million rows of randomized data the form of which is not unlike your original post.

    Don't let the "million" scare you. This only takes about 4 seconds on my laptop including the creation of the

    clustered index (I didn't see a candidate even for a composite PK for the given columns).

    --===== Conditionally drop the test table to make reruns in SSMS easier.

    -- This is not a part of the solution.

    IF OBJECT_ID('tempdb..#OrderDetail','U') IS NOT NULL

    DROP TABLE #OrderDetail

    ;

    --===== Create and populate the test table on-the-fly.

    -- This is not a part of the solution.

    SELECT TOP 1000000

    SKUO = CHAR(ABS(CHECKSUM(NEwID()))%26+65)

    + CHAR(ABS(CHECKSUM(NEwID()))%26+65)

    + CHAR(ABS(CHECKSUM(NEwID()))%26+65)

    ,QtyO = ABS(CHECKSUM(NEWID()))%10+1

    ,OrderIDO = ABS(CHECKSUM(NEWID()))%30000+10000

    INTO #OrderDetail

    FROM master.sys.all_columns ac1

    CROSS JOIN master.sys.all_columns ac2

    ;

    --===== Create a useful index

    CREATE CLUSTERED INDEX IX_#OrderDetail_Composite01

    ON #OrderDetail (OrderIDO,SKUO)

    ;

    And, now, to solve the problem using a classic CROSS TAB. This produces the desired output for all 1 million

    rows in about 11 seconds on my laptop. And, yes... it will handle virtually an unlimited number of rows.

    --===== Solve the problem

    WITH

    ctePreAgg AS

    ( --=== This takes care of any possible duplicates and creates the row/column numbers

    -- using simple 0 based INTEGER Division (% is Modulus)

    SELECT OrderIDO

    ,SKUO

    ,QtyO = RIGHT(' ' + CAST(SUM(QtyO) AS VARCHAR(5)),5)

    ,Row# = (ROW_NUMBER() OVER (PARTITION BY OrderIDO ORDER BY SKUO)-1)/15

    ,Col# = (ROW_NUMBER() OVER (PARTITION BY OrderIDO ORDER BY SKUO)-1)%15

    FROM #OrderDetail

    GROUP BY OrderIDO, SKUO

    ) --=== This pivots the data in a very high speed fashion using an old fashioned CROSS TAB.

    SELECT OrderIDO

    ,OrderRow# = Row#+1

    ,SKU01 = MAX(CASE WHEN Col# = 0 THEN SKUO ELSE '' END)

    ,Qty01 = MAX(CASE WHEN Col# = 0 THEN QtyO ELSE '' END)

    ,SKU02 = MAX(CASE WHEN Col# = 1 THEN SKUO ELSE '' END)

    ,Qty02 = MAX(CASE WHEN Col# = 1 THEN QtyO ELSE '' END)

    ,SKU03 = MAX(CASE WHEN Col# = 2 THEN SKUO ELSE '' END)

    ,Qty03 = MAX(CASE WHEN Col# = 2 THEN QtyO ELSE '' END)

    ,SKU04 = MAX(CASE WHEN Col# = 3 THEN SKUO ELSE '' END)

    ,Qty04 = MAX(CASE WHEN Col# = 3 THEN QtyO ELSE '' END)

    ,SKU05 = MAX(CASE WHEN Col# = 4 THEN SKUO ELSE '' END)

    ,Qty05 = MAX(CASE WHEN Col# = 4 THEN QtyO ELSE '' END)

    ,SKU06 = MAX(CASE WHEN Col# = 5 THEN SKUO ELSE '' END)

    ,Qty06 = MAX(CASE WHEN Col# = 5 THEN QtyO ELSE '' END)

    ,SKU07 = MAX(CASE WHEN Col# = 6 THEN SKUO ELSE '' END)

    ,Qty07 = MAX(CASE WHEN Col# = 6 THEN QtyO ELSE '' END)

    ,SKU08 = MAX(CASE WHEN Col# = 7 THEN SKUO ELSE '' END)

    ,Qty08 = MAX(CASE WHEN Col# = 7 THEN QtyO ELSE '' END)

    ,SKU09 = MAX(CASE WHEN Col# = 8 THEN SKUO ELSE '' END)

    ,Qty09 = MAX(CASE WHEN Col# = 8 THEN QtyO ELSE '' END)

    ,SKU10 = MAX(CASE WHEN Col# = 9 THEN SKUO ELSE '' END)

    ,Qty10 = MAX(CASE WHEN Col# = 9 THEN QtyO ELSE '' END)

    ,SKU11 = MAX(CASE WHEN Col# = 10 THEN SKUO ELSE '' END)

    ,Qty11 = MAX(CASE WHEN Col# = 10 THEN QtyO ELSE '' END)

    ,SKU12 = MAX(CASE WHEN Col# = 11 THEN SKUO ELSE '' END)

    ,Qty12 = MAX(CASE WHEN Col# = 11 THEN QtyO ELSE '' END)

    ,SKU13 = MAX(CASE WHEN Col# = 12 THEN SKUO ELSE '' END)

    ,Qty13 = MAX(CASE WHEN Col# = 12 THEN QtyO ELSE '' END)

    ,SKU14 = MAX(CASE WHEN Col# = 13 THEN SKUO ELSE '' END)

    ,Qty14 = MAX(CASE WHEN Col# = 13 THEN QtyO ELSE '' END)

    ,SKU15 = MAX(CASE WHEN Col# = 14 THEN SKUO ELSE '' END)

    ,Qty15 = MAX(CASE WHEN Col# = 14 THEN QtyO ELSE '' END)

    FROM ctePreAgg

    GROUP BY OrderIDO, Row#

    ORDER BY OrderIDO, OrderRow#

    ;

    For more information on CROSSTABS and PIVOTS and how CROSSTABS compare in performance to Pivots,

    please see the following two articles. Once you understand what's going on in the first article, the second

    article will show you how to make Dynamic CROSSTABS if the need should ever arise.

    [font="Arial Black"]http://www.sqlservercentral.com/articles/T-SQL/63681/[/font]

    [/url]

    [font="Arial Black"]http://www.sqlservercentral.com/articles/Crosstab/65048/[/font]

    [/url]

    --Jeff Moden


    RBAR is pronounced "ree-bar" and is a "Modenism" for Row-By-Agonizing-Row.
    First step towards the paradigm shift of writing Set Based code:
    ________Stop thinking about what you want to do to a ROW... think, instead, of what you want to do to a COLUMN.

    Change is inevitable... Change for the better is not.


    Helpful Links:
    How to post code problems
    How to Post Performance Problems
    Create a Tally Function (fnTally)

  • pietlinden (1/24/2014)


    You might want to read Dwain Camps' article on Creating Dynamic Crosstabs... that might give you some ideas.

    My recommendation is that if you're going to make a recommendation to read an article, you should always provide the link. 😉

    --Jeff Moden


    RBAR is pronounced "ree-bar" and is a "Modenism" for Row-By-Agonizing-Row.
    First step towards the paradigm shift of writing Set Based code:
    ________Stop thinking about what you want to do to a ROW... think, instead, of what you want to do to a COLUMN.

    Change is inevitable... Change for the better is not.


    Helpful Links:
    How to post code problems
    How to Post Performance Problems
    Create a Tally Function (fnTally)

  • pietlinden (1/24/2014)


    You might want to read Dwain Camps' article on Creating Dynamic Crosstabs... that might give you some ideas.

    Nice thought, but I think you're referring to the articles by Jeff that he mentioned.


    My mantra: No loops! No CURSORs! No RBAR! Hoo-uh![/I]

    My thought question: Have you ever been told that your query runs too fast?

    My advice:
    INDEXing a poor-performing query is like putting sugar on cat food. Yeah, it probably tastes better but are you sure you want to eat it?
    The path of least resistance can be a slippery slope. Take care that fixing your fixes of fixes doesn't snowball and end up costing you more than fixing the root cause would have in the first place.

    Need to UNPIVOT? Why not CROSS APPLY VALUES instead?[/url]
    Since random numbers are too important to be left to chance, let's generate some![/url]
    Learn to understand recursive CTEs by example.[/url]
    [url url=http://www.sqlservercentral.com/articles/St

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