Transforming "xml" field to pivot-like results

  • My apologies for bad formatting and perhaps not posting all that I need to - first-time poster, here.

    I have a personnel database that produces an audit table, and the changes are in "xml-like" format.  I need the results to be laid out in a more easy-to-understand, pivot-table like format.  Here's what I know so far:


    /****** Object:  Table [dbo].[DATA_AUDIT]    Script Date: 12/20/2018 1:36:57 PM ******/
    SET ANSI_NULLS ON
    GO

    SET QUOTED_IDENTIFIER ON
    GO

    CREATE TABLE [dbo].[DATA_AUDIT](
     [DAU_OID] [nchar](14) NOT NULL,
     [DAU_TBL_OID] [nchar](14) NULL,
     [DAU_OBJ_OID] [nchar](14) NULL,
     [DAU_USR_OID] [nchar](14) NULL,
     [DAU_CHANGE_TYPE] [numeric](1, 0) NULL,
     [DAU_CHANGE_DEFINITION] [varchar](max) NULL,
     [DAU_LAST_MODIFIED] [numeric](14, 0) NULL,
     CONSTRAINT [DAU_PK] PRIMARY KEY CLUSTERED
    (
     [DAU_OID] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, FILLFACTOR = 90) ON [PRIMARY]
    ) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
    GO

    /****** Object:  Table [dbo].[USER_INFO]    Script Date: 12/20/2018 1:38:58 PM ******/
    SET ANSI_NULLS ON
    GO

    SET QUOTED_IDENTIFIER ON
    GO

    CREATE TABLE [dbo].[USER_INFO](
     [USR_OID] [nchar](14) NOT NULL,
     [USR_NAME_VIEW] [varchar](60) NULL,
     CONSTRAINT [USR_PK] PRIMARY KEY CLUSTERED
    (
     [USR_OID] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, FILLFACTOR = 90) ON [PRIMARY]
    ) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
    GO

    If I run this (criteria added just to show you a sample of what I want):

    DECLARE @DaysBack int = 10
     DECLARE @DateToStamp datetime = dateadd("d",0-@DaysBack,cast(getdate() as date))
     DECLARE @CompareToTimeStamp NUMERIC(14,0) = DATEDIFF ("s", '1/1/1970', @DateToStamp)  + 18000 
     ;with AUD_PSN AS
     (
      SELECT DAU_OID, USR_NAME_VIEW, DAU_OBJ_OID, DAU_TBL_OID  , Changed=dbo.udf_AspenTimeStampConversion(DAU_LAST_MODIFIED), AuditData=CAST(DAU_CHANGE_DEFINITION AS XML)
      FROM   SISDB.x2data.dbo.USER_INFO
       LEFT JOIN SISDB.x2data.dbo.DATA_AUDIT ON DAU_USR_OID=USR_OID
      WHERE  DAU_LAST_MODIFIED/1000>=@CompareToTimeStamp
       AND  DAU_TBL_OID  in ('tblStaff','tblPerson')
       AND USR_NAME_VIEW = 'McAlpine, Stacie'
       AND ( DAU_CHANGE_DEFINITION like '%psnNameLast%' or DAU_CHANGE_DEFINITION like '%psnPhone02%')
     ) 
     select PersonIdNo=a.DAU_OBJ_OID
       , DAU_TBL_OID
       , Changed
       , ChangedBy=USR_NAME_VIEW
       , a.AuditData
       , LastName_was=CASE WHEN m.c.value('@id','varchar(50)')='psnNameLast' and m.c.value('@type','varchar(25)')='previous' then m.c.value('.','varchar(100)') else null end
       , LastNameName_is=CASE WHEN m.c.value('@id','varchar(50)')='psnNameLast' and m.c.value('@type','varchar(25)')='changed' then m.c.value('.','varchar(100)') else null end
       , OtherPhone_was=CASE WHEN m.c.value('@id','varchar(50)')='psnPhone02' and m.c.value('@type','varchar(25)')='previous' then m.c.value('.','varchar(100)') else null end
       , OtherPhone_is=CASE WHEN m.c.value('@id','varchar(50)')='psnPhone02' and m.c.value('@type','varchar(25)')='changed' then m.c.value('.','varchar(100)') else null end
     from AUD_PSN a
      CROSS APPLY a.AuditData.nodes('/audit/field') m(c)   

    I can get data that looks like this:
    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54SctxJ9qWWTrERfawGY0Hsg8fE23KMOOyjqlzTPaQhFBZUZ1C1K5seb6t0v4sS1uvlPOxSTFvd2W3WyOWpp1JWb7KA2Hay3oLkeoiLw/b2WxPl84gpGUQo/pkPnZCPjLjmHJ0XdXPM+TqLGpLtZhz61yP4xBanWVkDxHOKVocu9j9Msen21SW4+jcZknzYEw47kpg6q5w3K7J+dCgsy7nzmmK7DtkNvD4wb7ldG3Jy8BNCBXaUta/vbJrlGjLJnXG7RxwnjH9Xa19nD2Hs8Q5eWM97IhgjlT6h/3qrB4aJ8Me430nsufHE9uA3IPcY7cZkHvWOJSNypBv2y5sJHVkr8uLr6+j82Z1FLclXjJ1Sg6rNGCtoS0qdZ0vdJ+jJL4+4FhyeRl22cdZvO3cY9/fVKLrcXv9aPQR+Y/0Dcm1uugoVyY2isqiJWMurQyowB4AHCeI3Yazcvjz54/9VReLVb/dX00XdpWZjtqr9mixWvC//anZwvuMorJ+e8VFGUZyvP0dsxj17bFmZdV3DtLKYnx1RkRtMW22WwRpq7TZz2I16vdXI1dIS/a4xWrq7COy9u36YtpftZNG10PO9NK4wDlTe2h4dZirU2xds1iNZ03vAXz6HLU5HhwfoYBdzH7r7rexn7vk69TaUjXmMvEuMeATQiEsn17mQ88p4TgWMjYWOVhXSV359QJMXuS2hHSxqVxNQtqeqpHzputjwXzUfLQYX0xtnPnNWZnSfqDmeX+/lccnQ+SnOxaKKSNXHTFQuk7JfST7sv7Y7pvmrI1R+tQ69KCh5Ui1r6qqsyblhH3bvUnsQPbseAK5xwW5pxjkns1l2LeNNiHTtqB8ZfPEgo/Lylp8fS1129xitwjZsX6e9fOUoZ62hKlL9tB9DhdtvJvtAyKakcvL+tnm8u2C0nEczFnl5Wsy2esskYn91ZE3a8/svZKsDtfLU7Qy4AJ7nBdl72WC5oPYbR6h+Aq+aWeeqHbGlMzQuuhQdtZTdjbjQGZwyWYzs6lDnU56XDJBazakee+Rui27znTvP+nzvkUt/velazdaui+fxEWFfEyIbuNjW7+IJh92RS8rYjl+Jnq6pyu7XgqW8fv2he5dIS2Lb6Le73h7i37eh8nsKJH1xXPMXpCn4JcP9PV6Y23GS+5ReDpjLecHG9D9dU3zn+jYzCy+zOw/O7tS/GY2tj4W+ZYh4HeGZbx/VBb7neqTR8T9J8eD9ZFW95b4gnYdtuXk+qlU3MQU+rmnTq0t28RcwiW35nthV+oj9sP8zA9NBi2OvVyz379He4yf57KakplZyrE1SP2WC7kd1/R4/0jXfP4yLluUt6OZmrI4ccMUxUg4Xrdhzsq0FbVakU+JWgvy0ZLL4xk+nYEyyz6nz5DsQj3yuUSzne9+ftHL50vSB4ZkycyoFX2YdqVvZ2aPy0oTlFPVa9e069fP0NTnF98vg/jc5cMXvT5cRnU67axD55rsGmpbKtYpeardvmLtdemqzaH+K1JKLeMnD26fKrw758scV7Fv1Gyk5Ui1rwroTEXzXSkz7bN+56wX2aFy3Feyuz628bfFfas7ki/vx5pfh+weHWP3z+tP0MZZVeznwufLjieQe5B71o/TbITcE5BBHU+GbZT1wXQcUmij5Dg+15jtLL+tbjT5VJ8PylcmTzB8Df7av+W9U4qurytd6/PY/7b/Ss+uQkpQT1vC1HI+5T5HhD9fJ7D989eUzcnl1fujBI98oRgr6ou1WAnqRerZaqx/jPToiZ4z+QkcEtgDgOMEsdtY7MM7Q/ZNu6mZ5dYfOc9QZWaVnZzjzt5aLWTf9GnrtE/JU1oz0zH+7czMDKM/jc0+1Y3Ib3PXtbIY3zZ3llK+XOQQ1UVLViYzA5T1xNcatiydzeTOXJMZWm0uz8zEknPKcXw+d3Md5EwfndtrnJwf5N+IsRTpUIh8hn/w9uxsOpm1N8rILD4kejCzwdiH4v3Dfhf5TVqHtDNtU8gn982a3gN49ekQmgUp+vFsNmzq5zFanUK+Lfl6fPUG2yIzPDgu2hxDm04EDLVfCJXFsZx3B02GojjO2FhmtnKhOV725RPJ8dH5bCwlguZiy7FNyAbrcuXilXHzdoxPH8EYKRGvlZD4bds8yu3JniKVfQ3OQfGukm9T3yvQp2VN9h3Ll49xbTZuWJZ8O6P8ZjBxkrZPjotmpmfx2dgcG9JrjLFLdiauKgOT+rSfqjr3HVdGdo1N6ozzQ35x7eRHj8NwP6bEoZCzX1RP9HskscQrUmv2uMh30hZLXJQ4X4GN8npc06vFzZdbkZPdJZ8f03XFDop8ddld8I5tVF1n7RWvu3sL6/rX7Z7dP9o3RvPPbcnbKgNyT1Inco8rZ9ZGeT2u6dVyXrlHdMvnTgLFrtvVsI0YZRyi2cj1XXnzMnmrUbNf7rgqccQNWcsTMaa9Pl3JeUWXfFymVLZbmfJ+lLWFJ8/k9ViWOtqisePzic2C9zkK8rUQ6gPknJpca3HO7a81l1fojwSvfEcy1j8WxC9TrM68/uzo0xLU9xpaGXCBPc6LrL3BMYPYbR6h+NL/pl17RI/36Xy17q1MaIwevXZvr2l+Y2dEXT4TTV+cmW1t6j1Ga2am4/zH/D4mZsNJIkMeeSuQdWeXN6LnQTJbafH9Sq+vRE8LKfukx5+PZAZU6/6JrieRzi6fv+maR7wZWvf0yXUunojucjOqDks/9QN5I+bpOvGDQpyZXs9Xb+ZtyuXHJJ1NZ5ZLenidULbKNo3e7Ey+7gu92ClrQb+bvdO895vSiW0t+t2bk33BiTl+n4xZjgd09/1k3lDNsBzTM232lp3m54aCOoNtqcBywXHz9skxwMvjLf3U/6JdEsv5t3w1CuPYAx9CNzcTuk6mhzPLj2g2ZjJN03nbjJE4ifcXvy8dc0re1vHHSLl4rUBLZnzaPPp2S9+X67NofSw/hnRn23L5wMk2pkCfIWqTj5FZspKmHn2zcZmgLArGL57uk1zXun/0v3VbFWOXR+7XLs2bAUUyVKGqzuuQXasz29enS6l8V9f4ydOnRvS5mq6RI3Ncxb5xF3Gxy/5Bo/vYo8nQCpTvswJ20OSry+4R62MbXdcy5uJwjKc9zoY06T069gxQaPcwun9uQdEYBbkHuYepaiOXs8s9heOfgI0YfRwStpHru93fPd4zQpNP8/nS5PKEy8888AZl4Pq66rV+Qj5GyrDLtrDPxW9ipUvubdcdyx66z1EqXxf1ARtQNU+U9sEq/VFAvmMY6x897Od4Q6RBwB4AHCeI3UaiP7TT6L6YQaAM6BbTHs2fc58p89DKfU6lHpb0TfJpDR9aWZaf+Rc9XEYDrIevV7pxPleQpWU+K+E+X2iP3E+AflMqsgyQ7CCYB31XdE3JV/YcWqzb3vy91A3sxtOf2kF/etEpftAeLZLt0VJ8c91Qwe9OCfkkx5Ae6TO9W5JQ+ADOQ5Gfa3VqbUkpH3Mfz990mVydcOSUubu4F/IylIvjDOy34uOqqjLIpzG/6PXGXozevNJXlc+M7oCt4rUsfPF42587uTIAXxDfPcQ3C3iZbn8JW6d8ksvlRslw4PlsTw2y7ATzia2hNIz9taXLUJG9+NQOyHx6yVk6245kt+nHPH1qHWxmo/U8X65/2BF8gdGbRxcY5kaXOzkigCZfbXYPUKjrrnwiechaXlL0NbOaA6WmcVbhGAW5JwG5B7lnp3YPcWRjKkMuT2xC/vp6m2v9bdlJW9j/4ngu0vUuZffd5yiTr6tcp4bYt59Vlu9IxvqnQGYShZeCPDobhHOtVga8wB4AHCeI3eZR8NBuQsNxarDZ+9z+LSfu6OUb2lbfrcvo30K6j9Sb3DlPbqPvgm/7UtnvHg8+4zqWH2ZmZ4xWpnEf35TnZdTu0/Tz3pYseZDTobEVfjkbs5auKFZB93EkUymtKy9p8X1F6aS/1EHlwiydLZ2vc0APTp17Y/4TtdAM5Ny/8/Wa+sFSbhrFflCR7q25ARUa9IZR/M7U6f7dr+jvgZW4fj4S5G/bdOj99jN563DccWZ9yuy+eW/ji5WwnzPBOvW2VI05vv5K/sQZLSvMXq1AfIMkn4N0GRwvy8TxhrR+Jzd7DBJbkg9lg5k1nd4gk2V6PSk56yWUtytSIl4zf5ehDOxbnc5YRLYs6X2ee/gZykf9q+hmgclFzoxVTZ8alfNROVrde3p5eZQrfW5LTkMhWQz2IaaUdW44C0e02DndG63L8TApK0Uwz7MdxzyQ4mt4mUmcztgvkKEKFXW+tewetDq3ettl1+OnqlTtGwtsFM6R4q9KX7UNiu+aLwAMxzSc9Ch7zyxgB0W+euyuUBgPLXrszTn8orfsSg1rCu3uzy+1+WfBGAW5J1sncg9yz0Z2rzr+EdRxiJ+8786GD/Rlf6vybRlHoTwRI9cR2cnB+vV11Wv9hOtf9kcZam7LGvWcT7vPoebritepQWrM5ZX6I02+IxnrHz32DZGJXWUnoVu+do7fJFzKlwqus3/zEtQI7AHAcYLYbR48WEtY+5t27dEq/a65+91yKevzsv6983R/+c6pfFPf7pN8W1u+Oe7U6XzXO/sNdcp82zypJ16kbbZMGMnfCfFsF0JlRXUaOeMytzHmO+DxMSxn7oTme+XmuOz32RP52q4uLQV17ho5Tx75Drs5v2MXoyPND8w2d8n+PYdku6sIYSHfhU+Pabt/78A9jpd24iOiI7/fGdw6eb/4sGKf3B9yXo2gT3r0EskTIbYLiVPVz4N1FrRFqBZzuRiwW4vQ6iySPfYNn5whGdQ4ZqTM4OrJnkD+3oZZj+PEjXvxZ9lYeFwutpLtZk+uj9u7YbwWxogbW3xMEq+GRVSv11kCiIy5WI7jNcaXjwR3+/+/vbPHbltnwjD8rUVOkesVSCuQ06hI1KaTSrtR59KdGqm0O7e+KdzEWoGzAl3nHEt78TcDgiQAAUOKIkX9vM85TCyCBDE/GIAECM70Nx4s+4X0qZF0RojybQfnEcP/Ho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    Ideally, though (though this data is a bad example), I want to "flatten" it more, to look like this:
    data:image/png;base64,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

    I need to grab this audit data, on occasion, and show by person (PersonIdNo) the before-and-after values of certain fields in certain tables in a more clear layout.

    There are a lot more tables and fields that I want to report changes for -- I've just given a few, here, as examples.

    Thanks for any pointers, leads, links, or questions.

  • as long as the data in the AuditDate column is xml, you can try this to see if it works.

    drop table if exists #Audit

    create table #Audit
    (AuditID int identity(1,1),
    PersonNo int,
    TableName varchar(20),
    AuditData xml)

    insert into #Audit values
    (1, 'tblPerson','<audit><field id="PanPhone02" type="previous">123-1234</field><field id="PanPhone02" type="changed" /></audit>'),
    (1, 'tblPerson','<audit><field id="PanLastName" type="previous">Hubbell</field><field id="PanLastName" type="changed">NewLastName</field></audit>')
    insert into #Audit values
    (2, 'tblPerson','<audit><field id="PanPhone02" type="previous">123-1234</field><field id="PanPhone02" type="changed" /></audit>'),
    (3, 'tblPerson','<audit><field id="PanLastName" type="previous">Hubbell</field><field id="PanLastName" type="changed">NewLastName</field></audit>'),
    (4, 'tblPerson','<audit><field id="PanLastName" type="previous"/><field id="PanLastName" type="changed">NewLastName</field></audit>')

    select * from
    (
    select AuditID,
          PersonNo,
            TableName,
            fields.value('@id[1]', 'Varchar(50)') FieldChanged,
          fields.value('@type[1]', 'Varchar(50)') [type],
            fields.value('.', 'Varchar(50)') OldValue,
            lag (fields.value('.', 'Varchar(50)') ) over (order by AuditID, fields.value('@type[1]', 'Varchar(50)') desc) as NewValue
    from #Audit
        cross apply AuditData.nodes('/audit/*') as xmldata(fields)
    ) v
    where Type = 'Previous'        

    For better, quicker answers, click on the following...
    http://www.sqlservercentral.com/articles/Best+Practices/61537/

    For better answers on performance questions, click on the following...
    http://www.sqlservercentral.com/articles/SQLServerCentral/66909/

  • That looks very promising.  I'll try it tomorrow and update after.

    Thank you for the quick response!

  • Mike01 - Thursday, December 20, 2018 1:17 PM

    as long as the data in the AuditDate column is xml, you can try this to see if it works.

    drop table if exists #Audit

    create table #Audit
    (AuditID int identity(1,1),
    PersonNo int,
    TableName varchar(20),
    AuditData xml)

    insert into #Audit values
    (1, 'tblPerson','<audit><field id="PanPhone02" type="previous">123-1234</field><field id="PanPhone02" type="changed" /></audit>'),
    (1, 'tblPerson','<audit><field id="PanLastName" type="previous">Hubbell</field><field id="PanLastName" type="changed">NewLastName</field></audit>')
    insert into #Audit values
    (2, 'tblPerson','<audit><field id="PanPhone02" type="previous">123-1234</field><field id="PanPhone02" type="changed" /></audit>'),
    (3, 'tblPerson','<audit><field id="PanLastName" type="previous">Hubbell</field><field id="PanLastName" type="changed">NewLastName</field></audit>'),
    (4, 'tblPerson','<audit><field id="PanLastName" type="previous"/><field id="PanLastName" type="changed">NewLastName</field></audit>')

    select * from
    (
    select AuditID,
          PersonNo,
            TableName,
            fields.value('@id[1]', 'Varchar(50)') FieldChanged,
          fields.value('@type[1]', 'Varchar(50)') [type],
            fields.value('.', 'Varchar(50)') OldValue,
            lag (fields.value('.', 'Varchar(50)') ) over (order by AuditID, fields.value('@type[1]', 'Varchar(50)') desc) as NewValue
    from #Audit
        cross apply AuditData.nodes('/audit/*') as xmldata(fields)
    ) v
    where Type = 'Previous'        

    There are a couple problems with this approach, the most obvious one being that you haven't specified the correct partition for your LAG expression, so you're mixing results from two different records.

    The other issue is that it only uses the minimum XQuery necessary to get the information required, and, in doing so, makes it much harder to calculate the correct values.

    Here is my solution:

    SELECT
        AuditID,
        PersonNo,
        TableName,
        c.value('field[1]/@id', 'varchar(50)') AS FieldChanged,
        c.value('(field[@type="previous"]/text())[1]', 'varchar(50)') AS OldValue,
        c.value('(field[@type="changed"]/text())[1]', 'varchar(50)') AS NewValue
    FROM #Audit
    CROSS APPLY AuditData.nodes('/audit') m(c)

    NOTE: In order to accomplish the "pivot", I had to start higher in the document tree ('/audit' vs '/audit/field').

    Drew

    J. Drew Allen
    Business Intelligence Analyst
    Philadelphia, PA

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