Display multiple rows of one table into one row without using PIVOT












0















I'm currently trying to form a SELECT query to from a table without using PIVOT.



Examples of data and expected result are shown below:



DB Data



| Id |  TYPE      |  Amount |
| 1 | Deposit | 50 |
| 2 | Withdraw | 10 |
| 3 | Withdraw | 30 |


Expected Result



| Row |  TYPE      |  Amount |   TYPE     |  Amount | 
| 1 | Deposit | 50 | Withdraw | 10 |
| 2 | - | 0 | Withdraw | 30 |


The deposits and withdrawals are not related to each other, just displaying in ascending order of id. The expected end result is two row of all deposits while another two row with withdrawals. The purpose of doing this is to maximize spaces.



Thought of using left join but there's no unique id that can let me use GROUP BY



Thanks in advance for helping.










share|improve this question





























    0















    I'm currently trying to form a SELECT query to from a table without using PIVOT.



    Examples of data and expected result are shown below:



    DB Data



    | Id |  TYPE      |  Amount |
    | 1 | Deposit | 50 |
    | 2 | Withdraw | 10 |
    | 3 | Withdraw | 30 |


    Expected Result



    | Row |  TYPE      |  Amount |   TYPE     |  Amount | 
    | 1 | Deposit | 50 | Withdraw | 10 |
    | 2 | - | 0 | Withdraw | 30 |


    The deposits and withdrawals are not related to each other, just displaying in ascending order of id. The expected end result is two row of all deposits while another two row with withdrawals. The purpose of doing this is to maximize spaces.



    Thought of using left join but there's no unique id that can let me use GROUP BY



    Thanks in advance for helping.










    share|improve this question



























      0












      0








      0








      I'm currently trying to form a SELECT query to from a table without using PIVOT.



      Examples of data and expected result are shown below:



      DB Data



      | Id |  TYPE      |  Amount |
      | 1 | Deposit | 50 |
      | 2 | Withdraw | 10 |
      | 3 | Withdraw | 30 |


      Expected Result



      | Row |  TYPE      |  Amount |   TYPE     |  Amount | 
      | 1 | Deposit | 50 | Withdraw | 10 |
      | 2 | - | 0 | Withdraw | 30 |


      The deposits and withdrawals are not related to each other, just displaying in ascending order of id. The expected end result is two row of all deposits while another two row with withdrawals. The purpose of doing this is to maximize spaces.



      Thought of using left join but there's no unique id that can let me use GROUP BY



      Thanks in advance for helping.










      share|improve this question
















      I'm currently trying to form a SELECT query to from a table without using PIVOT.



      Examples of data and expected result are shown below:



      DB Data



      | Id |  TYPE      |  Amount |
      | 1 | Deposit | 50 |
      | 2 | Withdraw | 10 |
      | 3 | Withdraw | 30 |


      Expected Result



      | Row |  TYPE      |  Amount |   TYPE     |  Amount | 
      | 1 | Deposit | 50 | Withdraw | 10 |
      | 2 | - | 0 | Withdraw | 30 |


      The deposits and withdrawals are not related to each other, just displaying in ascending order of id. The expected end result is two row of all deposits while another two row with withdrawals. The purpose of doing this is to maximize spaces.



      Thought of using left join but there's no unique id that can let me use GROUP BY



      Thanks in advance for helping.







      sql-server t-sql






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      share|improve this question













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      share|improve this question








      edited 8 mins ago







      JamesYTL

















      asked 20 hours ago









      JamesYTLJamesYTL

      1716




      1716






















          1 Answer
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          1














          declare @t table (Id int, [TYPE] varchar(100), Amount int);
          insert into @t values
          ( 1, 'Deposit', 50),
          ( 2, 'Withdraw', 10),
          ( 3, 'Withdraw', 30);

          with cte as
          (
          select *, ROW_NUMBER() over(partition by [TYPE] order by id) n
          from @t t
          ),

          nums as
          (
          select distinct n
          from cte
          )

          select n.n as row, c1.TYPE, c1.Amount, c2.TYPE, c2.Amount
          from nums n
          left join cte c1
          on n.n = c1.n and c1.TYPE = 'Deposit'
          left join cte c2
          on n.n = c2.n and c2.TYPE = 'Withdraw';





          share|improve this answer
























          • ROW_NUMBER() over(partition by [TYPE] order by id) n is exactly what I'm lacking in my LEFT JOIN query. Thanks!

            – JamesYTL
            19 hours ago













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          1 Answer
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          1 Answer
          1






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          active

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          1














          declare @t table (Id int, [TYPE] varchar(100), Amount int);
          insert into @t values
          ( 1, 'Deposit', 50),
          ( 2, 'Withdraw', 10),
          ( 3, 'Withdraw', 30);

          with cte as
          (
          select *, ROW_NUMBER() over(partition by [TYPE] order by id) n
          from @t t
          ),

          nums as
          (
          select distinct n
          from cte
          )

          select n.n as row, c1.TYPE, c1.Amount, c2.TYPE, c2.Amount
          from nums n
          left join cte c1
          on n.n = c1.n and c1.TYPE = 'Deposit'
          left join cte c2
          on n.n = c2.n and c2.TYPE = 'Withdraw';





          share|improve this answer
























          • ROW_NUMBER() over(partition by [TYPE] order by id) n is exactly what I'm lacking in my LEFT JOIN query. Thanks!

            – JamesYTL
            19 hours ago


















          1














          declare @t table (Id int, [TYPE] varchar(100), Amount int);
          insert into @t values
          ( 1, 'Deposit', 50),
          ( 2, 'Withdraw', 10),
          ( 3, 'Withdraw', 30);

          with cte as
          (
          select *, ROW_NUMBER() over(partition by [TYPE] order by id) n
          from @t t
          ),

          nums as
          (
          select distinct n
          from cte
          )

          select n.n as row, c1.TYPE, c1.Amount, c2.TYPE, c2.Amount
          from nums n
          left join cte c1
          on n.n = c1.n and c1.TYPE = 'Deposit'
          left join cte c2
          on n.n = c2.n and c2.TYPE = 'Withdraw';





          share|improve this answer
























          • ROW_NUMBER() over(partition by [TYPE] order by id) n is exactly what I'm lacking in my LEFT JOIN query. Thanks!

            – JamesYTL
            19 hours ago
















          1












          1








          1







          declare @t table (Id int, [TYPE] varchar(100), Amount int);
          insert into @t values
          ( 1, 'Deposit', 50),
          ( 2, 'Withdraw', 10),
          ( 3, 'Withdraw', 30);

          with cte as
          (
          select *, ROW_NUMBER() over(partition by [TYPE] order by id) n
          from @t t
          ),

          nums as
          (
          select distinct n
          from cte
          )

          select n.n as row, c1.TYPE, c1.Amount, c2.TYPE, c2.Amount
          from nums n
          left join cte c1
          on n.n = c1.n and c1.TYPE = 'Deposit'
          left join cte c2
          on n.n = c2.n and c2.TYPE = 'Withdraw';





          share|improve this answer













          declare @t table (Id int, [TYPE] varchar(100), Amount int);
          insert into @t values
          ( 1, 'Deposit', 50),
          ( 2, 'Withdraw', 10),
          ( 3, 'Withdraw', 30);

          with cte as
          (
          select *, ROW_NUMBER() over(partition by [TYPE] order by id) n
          from @t t
          ),

          nums as
          (
          select distinct n
          from cte
          )

          select n.n as row, c1.TYPE, c1.Amount, c2.TYPE, c2.Amount
          from nums n
          left join cte c1
          on n.n = c1.n and c1.TYPE = 'Deposit'
          left join cte c2
          on n.n = c2.n and c2.TYPE = 'Withdraw';






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered 20 hours ago









          sepupicsepupic

          6,916817




          6,916817













          • ROW_NUMBER() over(partition by [TYPE] order by id) n is exactly what I'm lacking in my LEFT JOIN query. Thanks!

            – JamesYTL
            19 hours ago





















          • ROW_NUMBER() over(partition by [TYPE] order by id) n is exactly what I'm lacking in my LEFT JOIN query. Thanks!

            – JamesYTL
            19 hours ago



















          ROW_NUMBER() over(partition by [TYPE] order by id) n is exactly what I'm lacking in my LEFT JOIN query. Thanks!

          – JamesYTL
          19 hours ago







          ROW_NUMBER() over(partition by [TYPE] order by id) n is exactly what I'm lacking in my LEFT JOIN query. Thanks!

          – JamesYTL
          19 hours ago




















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