Show current row “win streak” Announcing the arrival of Valued Associate #679: Cesar...

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Show current row "win streak"

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Show current row “win streak”



Announcing the arrival of Valued Associate #679: Cesar Manara
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.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ margin-bottom:0;
}







2















I need to show the running win/loss streak per row in a query, so given the table below, the query should return the "expected" column. I've tried some approaches with window functions, but no success.



create table matches (player text, dt date,  is_winner boolean, expected integer )
insert into matches values
('A', '2019-01-01', TRUE, 0),
('A', '2019-01-03', TRUE, 1),
('A', '2019-01-04', TRUE, 2),
('A', '2019-01-09', FALSE, 0),
('A', '2019-01-10', FALSE, -1),
('A', '2019-01-15', TRUE, 0);


player  dt          is_winner   expected
A 2019-01-01 true 0
A 2019-01-03 true 1
A 2019-01-04 true 2
A 2019-01-09 false 0
A 2019-01-10 false -1
A 2019-01-15 true 0



The logic is:




  1. Resets to 0 when winning after a loss, or losing after a win.

  2. Increments after a win, but not if it's case 1.

  3. Decrements after a loss, but not if it's case 1.


Any insights on how to tackle this are welcome. My last resort would be a function with a loop called by every row.










share|improve this question









New contributor




codigofontes is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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    2















    I need to show the running win/loss streak per row in a query, so given the table below, the query should return the "expected" column. I've tried some approaches with window functions, but no success.



    create table matches (player text, dt date,  is_winner boolean, expected integer )
    insert into matches values
    ('A', '2019-01-01', TRUE, 0),
    ('A', '2019-01-03', TRUE, 1),
    ('A', '2019-01-04', TRUE, 2),
    ('A', '2019-01-09', FALSE, 0),
    ('A', '2019-01-10', FALSE, -1),
    ('A', '2019-01-15', TRUE, 0);


    player  dt          is_winner   expected
    A 2019-01-01 true 0
    A 2019-01-03 true 1
    A 2019-01-04 true 2
    A 2019-01-09 false 0
    A 2019-01-10 false -1
    A 2019-01-15 true 0



    The logic is:




    1. Resets to 0 when winning after a loss, or losing after a win.

    2. Increments after a win, but not if it's case 1.

    3. Decrements after a loss, but not if it's case 1.


    Any insights on how to tackle this are welcome. My last resort would be a function with a loop called by every row.










    share|improve this question









    New contributor




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























      2












      2








      2








      I need to show the running win/loss streak per row in a query, so given the table below, the query should return the "expected" column. I've tried some approaches with window functions, but no success.



      create table matches (player text, dt date,  is_winner boolean, expected integer )
      insert into matches values
      ('A', '2019-01-01', TRUE, 0),
      ('A', '2019-01-03', TRUE, 1),
      ('A', '2019-01-04', TRUE, 2),
      ('A', '2019-01-09', FALSE, 0),
      ('A', '2019-01-10', FALSE, -1),
      ('A', '2019-01-15', TRUE, 0);


      player  dt          is_winner   expected
      A 2019-01-01 true 0
      A 2019-01-03 true 1
      A 2019-01-04 true 2
      A 2019-01-09 false 0
      A 2019-01-10 false -1
      A 2019-01-15 true 0



      The logic is:




      1. Resets to 0 when winning after a loss, or losing after a win.

      2. Increments after a win, but not if it's case 1.

      3. Decrements after a loss, but not if it's case 1.


      Any insights on how to tackle this are welcome. My last resort would be a function with a loop called by every row.










      share|improve this question









      New contributor




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












      I need to show the running win/loss streak per row in a query, so given the table below, the query should return the "expected" column. I've tried some approaches with window functions, but no success.



      create table matches (player text, dt date,  is_winner boolean, expected integer )
      insert into matches values
      ('A', '2019-01-01', TRUE, 0),
      ('A', '2019-01-03', TRUE, 1),
      ('A', '2019-01-04', TRUE, 2),
      ('A', '2019-01-09', FALSE, 0),
      ('A', '2019-01-10', FALSE, -1),
      ('A', '2019-01-15', TRUE, 0);


      player  dt          is_winner   expected
      A 2019-01-01 true 0
      A 2019-01-03 true 1
      A 2019-01-04 true 2
      A 2019-01-09 false 0
      A 2019-01-10 false -1
      A 2019-01-15 true 0



      The logic is:




      1. Resets to 0 when winning after a loss, or losing after a win.

      2. Increments after a win, but not if it's case 1.

      3. Decrements after a loss, but not if it's case 1.


      Any insights on how to tackle this are welcome. My last resort would be a function with a loop called by every row.







      postgresql gaps-and-islands






      share|improve this question









      New contributor




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











      share|improve this question









      New contributor




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









      share|improve this question




      share|improve this question








      edited 8 mins ago









      Paul White

      54.3k14288461




      54.3k14288461






      New contributor




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









      asked 6 hours ago









      codigofontescodigofontes

      133




      133




      New contributor




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





      New contributor





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






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






















          1 Answer
          1






          active

          oldest

          votes


















          2














          I've done this in stages using CTEs so that you can see how it's done as the queries progress. Each CTE adds a column in the output in order to show you progress.



          It's pretty much self-documenting with the CTE names, to be honest.



          with lags as (
          select player,
          dt,
          is_winner,
          lag(is_winner) OVER (partition by player ORDER BY dt ASC) as prev_is_winner,
          expected
          from matches
          ),
          group_changes as (
          select lags.*,
          case
          when prev_is_winner <> is_winner or prev_is_winner is null
          then 1
          else 0
          end as is_new_group
          from lags
          ),
          groups_numbered as (
          select *,
          sum(is_new_group)
          over (partition by player order by dt, is_winner desc) as streak_group
          from group_changes
          ),
          expected_in_groups as (
          select groups_numbered.*,
          row_number()
          over (partition by player,streak_group
          order by dt asc, streak_group asc) - 1 as expected_unsigned
          from groups_numbered
          )
          select expected_in_groups.*, case when is_winner = 't' then expected_unsigned else expected_unsigned * -1 end as actual
          from expected_in_groups
          order by player asc, dt asc;


          DB Fiddle Link (I added an extra row just to make sure it was working at a certain point)



          Basically:





          1. lags CTE: use LAG() to get the previous result relative to the current row.


          2. group_changes CTE: Detect whether the previous streak, whether win or loss, has ended


          3. groups_numbered CTE: Give each streak a number


          4. expected_in_groups CTE: Number the rows in the group

          5. Final select: negate the loss streaks


          .



          +--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
          | player | dt | is_winner | prev_is_winner | expected | is_new_group | streak_group | expected_unsigned | actual |
          +--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
          | A | 2019-01-01 | t | | 0 | 1 | 1 | 0 | 0 |
          | A | 2019-01-03 | t | t | 1 | 0 | 1 | 1 | 1 |
          | A | 2019-01-04 | t | t | 2 | 0 | 1 | 2 | 2 |
          | A | 2019-01-09 | f | t | 0 | 1 | 2 | 0 | 0 |
          | A | 2019-01-10 | f | f | -1 | 0 | 2 | 1 | -1 |
          | A | 2019-01-11 | f | f | -2 | 0 | 2 | 2 | -2 |
          | A | 2019-01-15 | t | f | 0 | 1 | 3 | 0 | 0 |
          +--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+





          share|improve this answer


























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            1 Answer
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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            2














            I've done this in stages using CTEs so that you can see how it's done as the queries progress. Each CTE adds a column in the output in order to show you progress.



            It's pretty much self-documenting with the CTE names, to be honest.



            with lags as (
            select player,
            dt,
            is_winner,
            lag(is_winner) OVER (partition by player ORDER BY dt ASC) as prev_is_winner,
            expected
            from matches
            ),
            group_changes as (
            select lags.*,
            case
            when prev_is_winner <> is_winner or prev_is_winner is null
            then 1
            else 0
            end as is_new_group
            from lags
            ),
            groups_numbered as (
            select *,
            sum(is_new_group)
            over (partition by player order by dt, is_winner desc) as streak_group
            from group_changes
            ),
            expected_in_groups as (
            select groups_numbered.*,
            row_number()
            over (partition by player,streak_group
            order by dt asc, streak_group asc) - 1 as expected_unsigned
            from groups_numbered
            )
            select expected_in_groups.*, case when is_winner = 't' then expected_unsigned else expected_unsigned * -1 end as actual
            from expected_in_groups
            order by player asc, dt asc;


            DB Fiddle Link (I added an extra row just to make sure it was working at a certain point)



            Basically:





            1. lags CTE: use LAG() to get the previous result relative to the current row.


            2. group_changes CTE: Detect whether the previous streak, whether win or loss, has ended


            3. groups_numbered CTE: Give each streak a number


            4. expected_in_groups CTE: Number the rows in the group

            5. Final select: negate the loss streaks


            .



            +--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
            | player | dt | is_winner | prev_is_winner | expected | is_new_group | streak_group | expected_unsigned | actual |
            +--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
            | A | 2019-01-01 | t | | 0 | 1 | 1 | 0 | 0 |
            | A | 2019-01-03 | t | t | 1 | 0 | 1 | 1 | 1 |
            | A | 2019-01-04 | t | t | 2 | 0 | 1 | 2 | 2 |
            | A | 2019-01-09 | f | t | 0 | 1 | 2 | 0 | 0 |
            | A | 2019-01-10 | f | f | -1 | 0 | 2 | 1 | -1 |
            | A | 2019-01-11 | f | f | -2 | 0 | 2 | 2 | -2 |
            | A | 2019-01-15 | t | f | 0 | 1 | 3 | 0 | 0 |
            +--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+





            share|improve this answer






























              2














              I've done this in stages using CTEs so that you can see how it's done as the queries progress. Each CTE adds a column in the output in order to show you progress.



              It's pretty much self-documenting with the CTE names, to be honest.



              with lags as (
              select player,
              dt,
              is_winner,
              lag(is_winner) OVER (partition by player ORDER BY dt ASC) as prev_is_winner,
              expected
              from matches
              ),
              group_changes as (
              select lags.*,
              case
              when prev_is_winner <> is_winner or prev_is_winner is null
              then 1
              else 0
              end as is_new_group
              from lags
              ),
              groups_numbered as (
              select *,
              sum(is_new_group)
              over (partition by player order by dt, is_winner desc) as streak_group
              from group_changes
              ),
              expected_in_groups as (
              select groups_numbered.*,
              row_number()
              over (partition by player,streak_group
              order by dt asc, streak_group asc) - 1 as expected_unsigned
              from groups_numbered
              )
              select expected_in_groups.*, case when is_winner = 't' then expected_unsigned else expected_unsigned * -1 end as actual
              from expected_in_groups
              order by player asc, dt asc;


              DB Fiddle Link (I added an extra row just to make sure it was working at a certain point)



              Basically:





              1. lags CTE: use LAG() to get the previous result relative to the current row.


              2. group_changes CTE: Detect whether the previous streak, whether win or loss, has ended


              3. groups_numbered CTE: Give each streak a number


              4. expected_in_groups CTE: Number the rows in the group

              5. Final select: negate the loss streaks


              .



              +--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
              | player | dt | is_winner | prev_is_winner | expected | is_new_group | streak_group | expected_unsigned | actual |
              +--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
              | A | 2019-01-01 | t | | 0 | 1 | 1 | 0 | 0 |
              | A | 2019-01-03 | t | t | 1 | 0 | 1 | 1 | 1 |
              | A | 2019-01-04 | t | t | 2 | 0 | 1 | 2 | 2 |
              | A | 2019-01-09 | f | t | 0 | 1 | 2 | 0 | 0 |
              | A | 2019-01-10 | f | f | -1 | 0 | 2 | 1 | -1 |
              | A | 2019-01-11 | f | f | -2 | 0 | 2 | 2 | -2 |
              | A | 2019-01-15 | t | f | 0 | 1 | 3 | 0 | 0 |
              +--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+





              share|improve this answer




























                2












                2








                2







                I've done this in stages using CTEs so that you can see how it's done as the queries progress. Each CTE adds a column in the output in order to show you progress.



                It's pretty much self-documenting with the CTE names, to be honest.



                with lags as (
                select player,
                dt,
                is_winner,
                lag(is_winner) OVER (partition by player ORDER BY dt ASC) as prev_is_winner,
                expected
                from matches
                ),
                group_changes as (
                select lags.*,
                case
                when prev_is_winner <> is_winner or prev_is_winner is null
                then 1
                else 0
                end as is_new_group
                from lags
                ),
                groups_numbered as (
                select *,
                sum(is_new_group)
                over (partition by player order by dt, is_winner desc) as streak_group
                from group_changes
                ),
                expected_in_groups as (
                select groups_numbered.*,
                row_number()
                over (partition by player,streak_group
                order by dt asc, streak_group asc) - 1 as expected_unsigned
                from groups_numbered
                )
                select expected_in_groups.*, case when is_winner = 't' then expected_unsigned else expected_unsigned * -1 end as actual
                from expected_in_groups
                order by player asc, dt asc;


                DB Fiddle Link (I added an extra row just to make sure it was working at a certain point)



                Basically:





                1. lags CTE: use LAG() to get the previous result relative to the current row.


                2. group_changes CTE: Detect whether the previous streak, whether win or loss, has ended


                3. groups_numbered CTE: Give each streak a number


                4. expected_in_groups CTE: Number the rows in the group

                5. Final select: negate the loss streaks


                .



                +--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
                | player | dt | is_winner | prev_is_winner | expected | is_new_group | streak_group | expected_unsigned | actual |
                +--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
                | A | 2019-01-01 | t | | 0 | 1 | 1 | 0 | 0 |
                | A | 2019-01-03 | t | t | 1 | 0 | 1 | 1 | 1 |
                | A | 2019-01-04 | t | t | 2 | 0 | 1 | 2 | 2 |
                | A | 2019-01-09 | f | t | 0 | 1 | 2 | 0 | 0 |
                | A | 2019-01-10 | f | f | -1 | 0 | 2 | 1 | -1 |
                | A | 2019-01-11 | f | f | -2 | 0 | 2 | 2 | -2 |
                | A | 2019-01-15 | t | f | 0 | 1 | 3 | 0 | 0 |
                +--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+





                share|improve this answer















                I've done this in stages using CTEs so that you can see how it's done as the queries progress. Each CTE adds a column in the output in order to show you progress.



                It's pretty much self-documenting with the CTE names, to be honest.



                with lags as (
                select player,
                dt,
                is_winner,
                lag(is_winner) OVER (partition by player ORDER BY dt ASC) as prev_is_winner,
                expected
                from matches
                ),
                group_changes as (
                select lags.*,
                case
                when prev_is_winner <> is_winner or prev_is_winner is null
                then 1
                else 0
                end as is_new_group
                from lags
                ),
                groups_numbered as (
                select *,
                sum(is_new_group)
                over (partition by player order by dt, is_winner desc) as streak_group
                from group_changes
                ),
                expected_in_groups as (
                select groups_numbered.*,
                row_number()
                over (partition by player,streak_group
                order by dt asc, streak_group asc) - 1 as expected_unsigned
                from groups_numbered
                )
                select expected_in_groups.*, case when is_winner = 't' then expected_unsigned else expected_unsigned * -1 end as actual
                from expected_in_groups
                order by player asc, dt asc;


                DB Fiddle Link (I added an extra row just to make sure it was working at a certain point)



                Basically:





                1. lags CTE: use LAG() to get the previous result relative to the current row.


                2. group_changes CTE: Detect whether the previous streak, whether win or loss, has ended


                3. groups_numbered CTE: Give each streak a number


                4. expected_in_groups CTE: Number the rows in the group

                5. Final select: negate the loss streaks


                .



                +--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
                | player | dt | is_winner | prev_is_winner | expected | is_new_group | streak_group | expected_unsigned | actual |
                +--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
                | A | 2019-01-01 | t | | 0 | 1 | 1 | 0 | 0 |
                | A | 2019-01-03 | t | t | 1 | 0 | 1 | 1 | 1 |
                | A | 2019-01-04 | t | t | 2 | 0 | 1 | 2 | 2 |
                | A | 2019-01-09 | f | t | 0 | 1 | 2 | 0 | 0 |
                | A | 2019-01-10 | f | f | -1 | 0 | 2 | 1 | -1 |
                | A | 2019-01-11 | f | f | -2 | 0 | 2 | 2 | -2 |
                | A | 2019-01-15 | t | f | 0 | 1 | 3 | 0 | 0 |
                +--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+






                share|improve this answer














                share|improve this answer



                share|improve this answer








                edited 4 hours ago

























                answered 4 hours ago









                PhilᵀᴹPhilᵀᴹ

                25.9k65691




                25.9k65691






















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