質問

I'm trying to use the crosstab function in postgresql to create a pivot table. However, I'm having difficulty understanding how to structure my SQL within the query. My data consists of four columns and looks like this:

enter image description here

I create this table using the following code:

CREATE TABLE ct(id SERIAL, zone_id int, group_id int, area double precision);
INSERT INTO ct(zone_id, group_id, area) VALUES(1,2,6798.50754160784);
INSERT INTO ct(zone_id, group_id, area) VALUES(1,3,10197.7613124118);
INSERT INTO ct(zone_id, group_id, area) VALUES(2,1,85708.8676744647);
INSERT INTO ct(zone_id, group_id, area) VALUES(2,2,56006.5971338327);
INSERT INTO ct(zone_id, group_id, area) VALUES(2,3,5584.33145616642);
INSERT INTO ct(zone_id, group_id, area) VALUES(2,5,8611.99732832252);
INSERT INTO ct(zone_id, group_id, area) VALUES(2,6,36103.5509183704);
INSERT INTO ct(zone_id, group_id, area) VALUES(2,8,9801.14541428806);
INSERT INTO ct(zone_id, group_id, area) VALUES(5,1,45796.0020793546);

And following the postgresql documentation closely, I use the following code in my crosstab query:

SELECT *
FROM crosstab(
  'select zone_id, group_id, area
   from ct
   ')
AS ct(row_name integer, 
      g_1 double precision, 
      g_2 double precision, 
      g_3 double precision, 
      g_4 double precision, 
      g_5 double precision, 
      g_6 double precision, 
      g_7 double precision, 
      g_8 double precision);

This results in the following table which is not what I want them to be:

enter image description here

For example, in row two, I want the following values:

85708.8676744647, 56006.5971338327, 5584.33145616642, NULL, 8611.99732832252, 36103.5509183704, NULL, 9801.14541428806

Instead the values are:

85708.8676744647, 56006.5971338327, 5584.33145616642, 8611.99732832252, 36103.5509183704, 9801.14541428806

However, it seems that the null values are ignored, so that my column names g1 to g8, do not correspond to the original groups.

役に立ちましたか?

解決

Use the crosstab() variant with two parameters:

SELECT * FROM crosstab(
   'SELECT zone_id, group_id, area
    FROM   ct
    ORDER  BY 1,2'

   ,'SELECT g FROM generate_series(1,8) g'  -- ! Provide values explicitly
   )
AS ct(
     row_name integer
   , g_1 float8, g_2 float8
   , g_3 float8, g_4 float8
   , g_5 float8, g_6 float8
   , g_7 float8, g_8 float8);

Thereby declaring explicitly which value goes in which output column. So the function knows where to fill in NULL values. In this case generate_series() comes in handy to provide 8 rows with the numbers 1-8. A VALUES expression would be an alternative:

'VALUES (1), (2), (3), (4), (5), (6), (7), (8)'

Also, don't forget the ORDER BY clause in the first parameter query.

I provided a detailed explanation in this related answer.

他のヒント

I can't make it work in the Demo as I can't create the tablefunc extension but it works in my desktop running 9.2.1:

SELECT *
FROM crosstab(' 
    select 
        s.zone_id, s.group_id, area
    from 
        ct
        right join (
            (select distinct zone_id from ct) z(zone_id)
            cross join
            generate_series(1, 8) g(group_id)
        ) s on s.group_id = ct.group_id and s.zone_id = ct.zone_id
    order by s.zone_id, s.group_id
') AS ct (
    row_name integer, 
    g_1 double precision, 
    g_2 double precision, 
    g_3 double precision, 
    g_4 double precision, 
    g_5 double precision, 
    g_6 double precision, 
    g_7 double precision, 
    g_8 double precision
);
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