Additional column in unpivot/pivot in MSSQL












0















;with #unpivot_step2 as
(
select reqid, Idno, RowNum, colName, Vals
From
(
select
cast(reqid as varchar(150)) AS reqid,
cast(name collate database_default as varchar (150)) as name,
cast(idno collate database_default as varchar (150)) as idno,
cast(basicgroup collate database_default as varchar (150)) as basicgroup,
cast(industrialsector collate database_default as varchar (150)) as industrialsector,
cast(gender collate database_default as varchar (150)) as gender,
cast(income collate database_default as varchar (150)) as income,
cast(empname collate database_default as varchar(150)) as empname,
cast(emptyp collate database_default as varchar (150)) as emptyp,
row_number() over (partition by idno order by cast(date_created as datetime) desc) as RowNum
from #mydatabase
) unpivot_table
unpivot
(
vals for colName in (name, basicgroup, industrialsector, gender, income, empname, emptyp)
) unpivot_handle
)

select reqid, idno, ColName, [2] as [From], [1] as [To]
FROM
(
select reqid, idno, rownum, colname, vals
from #unpivot_step2
) pivot_table
pivot
(
max (vals) for RowNum in ([1],[2])
) pivot_handle
where [1] <> [2]


With this script,I got result as below:



+-----------+--------------+------------------+----------------------+----------------------+
| reqid | idno | colName | From_Value | To_Value |
+-----------+--------------+------------------+----------------------+----------------------+
| 170916258 | 050505050505 | empname | | YOLO |
| 170916258 | 050505050505 | emptyp | | 113 |
| 170916258 | 050505050505 | gender | P | |
| 170916258 | 050505050505 | income | 8891126 | |
| 170916258 | 050505050505 | name | TEST2 | TEST3_2 |
| 170916258 | 100202025698 | gender | L | P |
| 170916258 | 100202025698 | industrialsector | 01261 | |
| 170916258 | 100202025698 | name | APPLICANT5_2 | CUST3_6 |
| 170916258 | 260404045698 | gender | | P |
| 170916258 | 260404045698 | industrialsector | | 01279 |
| 170916258 | 260404045698 | name | CUST4_3 | EHH4_4 |
+-----------+--------------+------------------+----------------------+----------------------+


How can I get result like below:



+-----------+---------+--------------+------------------+--------------+----------+
| reqid | Name | idno | colName | From_Value | To_Value |
+-----------+---------+--------------+------------------+--------------+----------+
| 170916258 | TEST3_2 | 50505050505 | empname | | YOLO |
| 170916258 | TEST3_2 | 50505050505 | emptyp | | 113 |
| 170916258 | TEST3_2 | 50505050505 | gender | P | |
| 170916258 | TEST3_2 | 50505050505 | income | 8891126 | |
| 170916258 | TEST3_2 | 50505050505 | name | TEST2 | TEST3_2 |
| 170916258 | EHH4_4 | 100202025698 | gender | L | P |
| 170916258 | EHH4_4 | 100202025698 | industrialsector | 1261 | |
| 170916258 | EHH4_4 | 100202025698 | name | APPLICANT5_2 | CUST3_6 |
| 170916258 | EHH4_4 | 260404045698 | gender | | P |
| 170916258 | EHH4_4 | 260404045698 | industrialsector | | 1279 |
| 170916258 | EHH4_4 | 260404045698 | name | CUST4_3 | EHH4_4 |
+-----------+---------+--------------+------------------+--------------+----------+


I want additional column "NAME". Any idea how to enhance this script?










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    ;with #unpivot_step2 as
    (
    select reqid, Idno, RowNum, colName, Vals
    From
    (
    select
    cast(reqid as varchar(150)) AS reqid,
    cast(name collate database_default as varchar (150)) as name,
    cast(idno collate database_default as varchar (150)) as idno,
    cast(basicgroup collate database_default as varchar (150)) as basicgroup,
    cast(industrialsector collate database_default as varchar (150)) as industrialsector,
    cast(gender collate database_default as varchar (150)) as gender,
    cast(income collate database_default as varchar (150)) as income,
    cast(empname collate database_default as varchar(150)) as empname,
    cast(emptyp collate database_default as varchar (150)) as emptyp,
    row_number() over (partition by idno order by cast(date_created as datetime) desc) as RowNum
    from #mydatabase
    ) unpivot_table
    unpivot
    (
    vals for colName in (name, basicgroup, industrialsector, gender, income, empname, emptyp)
    ) unpivot_handle
    )

    select reqid, idno, ColName, [2] as [From], [1] as [To]
    FROM
    (
    select reqid, idno, rownum, colname, vals
    from #unpivot_step2
    ) pivot_table
    pivot
    (
    max (vals) for RowNum in ([1],[2])
    ) pivot_handle
    where [1] <> [2]


    With this script,I got result as below:



    +-----------+--------------+------------------+----------------------+----------------------+
    | reqid | idno | colName | From_Value | To_Value |
    +-----------+--------------+------------------+----------------------+----------------------+
    | 170916258 | 050505050505 | empname | | YOLO |
    | 170916258 | 050505050505 | emptyp | | 113 |
    | 170916258 | 050505050505 | gender | P | |
    | 170916258 | 050505050505 | income | 8891126 | |
    | 170916258 | 050505050505 | name | TEST2 | TEST3_2 |
    | 170916258 | 100202025698 | gender | L | P |
    | 170916258 | 100202025698 | industrialsector | 01261 | |
    | 170916258 | 100202025698 | name | APPLICANT5_2 | CUST3_6 |
    | 170916258 | 260404045698 | gender | | P |
    | 170916258 | 260404045698 | industrialsector | | 01279 |
    | 170916258 | 260404045698 | name | CUST4_3 | EHH4_4 |
    +-----------+--------------+------------------+----------------------+----------------------+


    How can I get result like below:



    +-----------+---------+--------------+------------------+--------------+----------+
    | reqid | Name | idno | colName | From_Value | To_Value |
    +-----------+---------+--------------+------------------+--------------+----------+
    | 170916258 | TEST3_2 | 50505050505 | empname | | YOLO |
    | 170916258 | TEST3_2 | 50505050505 | emptyp | | 113 |
    | 170916258 | TEST3_2 | 50505050505 | gender | P | |
    | 170916258 | TEST3_2 | 50505050505 | income | 8891126 | |
    | 170916258 | TEST3_2 | 50505050505 | name | TEST2 | TEST3_2 |
    | 170916258 | EHH4_4 | 100202025698 | gender | L | P |
    | 170916258 | EHH4_4 | 100202025698 | industrialsector | 1261 | |
    | 170916258 | EHH4_4 | 100202025698 | name | APPLICANT5_2 | CUST3_6 |
    | 170916258 | EHH4_4 | 260404045698 | gender | | P |
    | 170916258 | EHH4_4 | 260404045698 | industrialsector | | 1279 |
    | 170916258 | EHH4_4 | 260404045698 | name | CUST4_3 | EHH4_4 |
    +-----------+---------+--------------+------------------+--------------+----------+


    I want additional column "NAME". Any idea how to enhance this script?










    share|improve this question









    New contributor




    user3542587 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.























      0












      0








      0








      ;with #unpivot_step2 as
      (
      select reqid, Idno, RowNum, colName, Vals
      From
      (
      select
      cast(reqid as varchar(150)) AS reqid,
      cast(name collate database_default as varchar (150)) as name,
      cast(idno collate database_default as varchar (150)) as idno,
      cast(basicgroup collate database_default as varchar (150)) as basicgroup,
      cast(industrialsector collate database_default as varchar (150)) as industrialsector,
      cast(gender collate database_default as varchar (150)) as gender,
      cast(income collate database_default as varchar (150)) as income,
      cast(empname collate database_default as varchar(150)) as empname,
      cast(emptyp collate database_default as varchar (150)) as emptyp,
      row_number() over (partition by idno order by cast(date_created as datetime) desc) as RowNum
      from #mydatabase
      ) unpivot_table
      unpivot
      (
      vals for colName in (name, basicgroup, industrialsector, gender, income, empname, emptyp)
      ) unpivot_handle
      )

      select reqid, idno, ColName, [2] as [From], [1] as [To]
      FROM
      (
      select reqid, idno, rownum, colname, vals
      from #unpivot_step2
      ) pivot_table
      pivot
      (
      max (vals) for RowNum in ([1],[2])
      ) pivot_handle
      where [1] <> [2]


      With this script,I got result as below:



      +-----------+--------------+------------------+----------------------+----------------------+
      | reqid | idno | colName | From_Value | To_Value |
      +-----------+--------------+------------------+----------------------+----------------------+
      | 170916258 | 050505050505 | empname | | YOLO |
      | 170916258 | 050505050505 | emptyp | | 113 |
      | 170916258 | 050505050505 | gender | P | |
      | 170916258 | 050505050505 | income | 8891126 | |
      | 170916258 | 050505050505 | name | TEST2 | TEST3_2 |
      | 170916258 | 100202025698 | gender | L | P |
      | 170916258 | 100202025698 | industrialsector | 01261 | |
      | 170916258 | 100202025698 | name | APPLICANT5_2 | CUST3_6 |
      | 170916258 | 260404045698 | gender | | P |
      | 170916258 | 260404045698 | industrialsector | | 01279 |
      | 170916258 | 260404045698 | name | CUST4_3 | EHH4_4 |
      +-----------+--------------+------------------+----------------------+----------------------+


      How can I get result like below:



      +-----------+---------+--------------+------------------+--------------+----------+
      | reqid | Name | idno | colName | From_Value | To_Value |
      +-----------+---------+--------------+------------------+--------------+----------+
      | 170916258 | TEST3_2 | 50505050505 | empname | | YOLO |
      | 170916258 | TEST3_2 | 50505050505 | emptyp | | 113 |
      | 170916258 | TEST3_2 | 50505050505 | gender | P | |
      | 170916258 | TEST3_2 | 50505050505 | income | 8891126 | |
      | 170916258 | TEST3_2 | 50505050505 | name | TEST2 | TEST3_2 |
      | 170916258 | EHH4_4 | 100202025698 | gender | L | P |
      | 170916258 | EHH4_4 | 100202025698 | industrialsector | 1261 | |
      | 170916258 | EHH4_4 | 100202025698 | name | APPLICANT5_2 | CUST3_6 |
      | 170916258 | EHH4_4 | 260404045698 | gender | | P |
      | 170916258 | EHH4_4 | 260404045698 | industrialsector | | 1279 |
      | 170916258 | EHH4_4 | 260404045698 | name | CUST4_3 | EHH4_4 |
      +-----------+---------+--------------+------------------+--------------+----------+


      I want additional column "NAME". Any idea how to enhance this script?










      share|improve this question









      New contributor




      user3542587 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.












      ;with #unpivot_step2 as
      (
      select reqid, Idno, RowNum, colName, Vals
      From
      (
      select
      cast(reqid as varchar(150)) AS reqid,
      cast(name collate database_default as varchar (150)) as name,
      cast(idno collate database_default as varchar (150)) as idno,
      cast(basicgroup collate database_default as varchar (150)) as basicgroup,
      cast(industrialsector collate database_default as varchar (150)) as industrialsector,
      cast(gender collate database_default as varchar (150)) as gender,
      cast(income collate database_default as varchar (150)) as income,
      cast(empname collate database_default as varchar(150)) as empname,
      cast(emptyp collate database_default as varchar (150)) as emptyp,
      row_number() over (partition by idno order by cast(date_created as datetime) desc) as RowNum
      from #mydatabase
      ) unpivot_table
      unpivot
      (
      vals for colName in (name, basicgroup, industrialsector, gender, income, empname, emptyp)
      ) unpivot_handle
      )

      select reqid, idno, ColName, [2] as [From], [1] as [To]
      FROM
      (
      select reqid, idno, rownum, colname, vals
      from #unpivot_step2
      ) pivot_table
      pivot
      (
      max (vals) for RowNum in ([1],[2])
      ) pivot_handle
      where [1] <> [2]


      With this script,I got result as below:



      +-----------+--------------+------------------+----------------------+----------------------+
      | reqid | idno | colName | From_Value | To_Value |
      +-----------+--------------+------------------+----------------------+----------------------+
      | 170916258 | 050505050505 | empname | | YOLO |
      | 170916258 | 050505050505 | emptyp | | 113 |
      | 170916258 | 050505050505 | gender | P | |
      | 170916258 | 050505050505 | income | 8891126 | |
      | 170916258 | 050505050505 | name | TEST2 | TEST3_2 |
      | 170916258 | 100202025698 | gender | L | P |
      | 170916258 | 100202025698 | industrialsector | 01261 | |
      | 170916258 | 100202025698 | name | APPLICANT5_2 | CUST3_6 |
      | 170916258 | 260404045698 | gender | | P |
      | 170916258 | 260404045698 | industrialsector | | 01279 |
      | 170916258 | 260404045698 | name | CUST4_3 | EHH4_4 |
      +-----------+--------------+------------------+----------------------+----------------------+


      How can I get result like below:



      +-----------+---------+--------------+------------------+--------------+----------+
      | reqid | Name | idno | colName | From_Value | To_Value |
      +-----------+---------+--------------+------------------+--------------+----------+
      | 170916258 | TEST3_2 | 50505050505 | empname | | YOLO |
      | 170916258 | TEST3_2 | 50505050505 | emptyp | | 113 |
      | 170916258 | TEST3_2 | 50505050505 | gender | P | |
      | 170916258 | TEST3_2 | 50505050505 | income | 8891126 | |
      | 170916258 | TEST3_2 | 50505050505 | name | TEST2 | TEST3_2 |
      | 170916258 | EHH4_4 | 100202025698 | gender | L | P |
      | 170916258 | EHH4_4 | 100202025698 | industrialsector | 1261 | |
      | 170916258 | EHH4_4 | 100202025698 | name | APPLICANT5_2 | CUST3_6 |
      | 170916258 | EHH4_4 | 260404045698 | gender | | P |
      | 170916258 | EHH4_4 | 260404045698 | industrialsector | | 1279 |
      | 170916258 | EHH4_4 | 260404045698 | name | CUST4_3 | EHH4_4 |
      +-----------+---------+--------------+------------------+--------------+----------+


      I want additional column "NAME". Any idea how to enhance this script?







      sql-server sql-server-2012 sql-server-2014






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      edited 4 mins ago







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      asked 10 mins ago









      user3542587user3542587

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