如果我理解正确的话，你需要条件聚合：

select keyword,
count(case when color = 'red' then 1 end) as red,
count(case when color = 'yellow' then 1 end) as yellow
-- another colors here
from t
group by keyword

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要在具有大量列的表上使用此代码，请使用Python生成查询：
1)创建一个包含唯一变量的列表，并将其导入Python，比如：list。

for item in list:
 print('count(case when item=' +str(item)+ 'then 1 end) as is_'+str(item)+',')

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2)复制输出（减去最后一行的最后一个逗号）
3)然后：

select keyword,

OUTPUT FROM PYTHON

from t
group by keyword

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在测试用例中使用tablefunc扩展和COALESCE() to fill all NULL fields实现目标的另一种方法：

postgres=# create table t(keyword varchar,color varchar);
CREATE TABLE
postgres=# insert into t values ('foo','red'),('bar','yellow'),('fobar','red'),('baz','blue'),('bazbaz','green');
INSERT 0 5
postgres=# SELECT keyword, COALESCE(red,0) red, 
 COALESCE(blue,0) blue, COALESCE(green,0) green, 
 COALESCE(yellow,0) yellow 
 FROM crosstab(                         
  $$select keyword, color, COALESCE('1',0) as onehot from test01
    group by 1, 2 order by 1, 2$$,
  $$select distinct color from test01 order by 1$$)
 AS result(keyword varchar, blue int, green int, red int, yellow int);
 keyword | red | blue | green | yellow 
---------+-----+------+-------+--------
 bar     |   0 |    0 |     0 |      1
 baz     |   0 |    1 |     0 |      0
 bazbaz  |   0 |    0 |     1 |      0
 fobar   |   1 |    0 |     0 |      0
 foo     |   1 |    0 |     0 |      0
(5 rows)

postgres=#

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如果你只是想得到psql下的结果：

postgres=# select keyword, color, COALESCE('1',0) as onehot from t
  --group by 1, 2 order by 1, 2
  \crosstabview keyword color
 keyword | red | yellow | blue | green 
---------+-----+--------+------+-------
 foo     |   1 |        |      |      
 bar     |     |      1 |      |      
 fobar   |   1 |        |      |      
 baz     |     |        |    1 |      
 bazbaz  |     |        |      |     1
(5 rows)

postgres=#

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