Convert one row into multiple rows with fewer columns

北战南征 提交于 2019-11-28 14:22:01
SELECT
  times.name, x.t, x.val
FROM
  times cross join lateral (values('st',st),('ot',ot),('dt',dt)) as x(t,val)
WHERE
  x.val <> 0;

The core problem is the reverse of a pivot / crosstab operation. Sometimes called "unpivot".

Basically, Abelisto's query is the way to go in Postgres 9.3 or later. Related:

You may want to use LEFT JOIN LATERAL ... ON u.val <> 0 to include names without valid values in the result (and shorten the syntax a bit).

If you have more than a few value columns (or varying lists of columns) you may want to use a function to build and execute the query automatically:

CREATE OR REPLACE FUNCTION f_unpivot_columns(VARIADIC _cols text[])
  RETURNS TABLE(name text, t text, val int) AS
$func$
BEGIN
   RETURN QUERY EXECUTE (
   SELECT
     'SELECT t.name, u.t, u.val
      FROM   times t
      LEFT   JOIN LATERAL (VALUES '
          || string_agg(format('(%L, t.%I)', c, c), ', ')
          || ') u(t, val) ON (u.val <> 0)'
   FROM   unnest(_cols) c
   );
END
$func$  LANGUAGE plpgsql;

Call:

SELECT * FROM f_unpivot_times_columns(VARIADIC '{st, ot, dt}');

Or:

SELECT * FROM f_unpivot_columns('ot', 'dt');

Columns names are provided as string literals and must be in correct (case-sensitive!) spelling with no extra double-quotes. See:

dbfiddle here

Related with more examples and explanation:

One way:

with times(name , st , ot , dt) as(
select 'Fred',8  , 2  , 3  union all
select 'Jane',8  , 1  , 0  union all
select 'Samm',8  , 0  , 6  union all
select 'Alex',8  , 0  , 0  
)

select name, key as t, value::int  from 
(
    select name, json_build_object('st' ,st , 'ot',ot, 'dt',dt) as j
    from times
) t
join lateral json_each_text(j)
on true
where value <> '0'
-- order by name, case when key = 'st' then 0 when key = 'ot' then 1 when key = 'dt' then 2 end
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