除了其他答案、注释和文档之外，数据类型转换还可以放在使用上。这允许更容易的复制粘贴:

update test as t set
    column_a = c.column_a::number
from (values
    ('123', 1),
    ('345', 2)  
) as c(column_b, column_a) 
where t.column_b = c.column_b::text;

假设你有一个id数组和等价的状态数组-这里有一个例子，如何用一个静态SQL(一个SQL查询不会因为数组的不同值而改变)来做到这一点:

drop table if exists results_dummy;
create table results_dummy (id int, status text, created_at timestamp default now(), updated_at timestamp default now());
-- populate table with dummy rows
insert into results_dummy
(id, status)
select unnest(array[1,2,3,4,5]::int[]) as id, unnest(array['a','b','c','d','e']::text[]) as status;

select * from results_dummy;

-- THE update of multiple rows with/by different values
update results_dummy as rd
set    status=new.status, updated_at=now()
from (select unnest(array[1,2,5]::int[]) as id,unnest(array['a`','b`','e`']::text[]) as status) as new
where rd.id=new.id;

select * from results_dummy;

-- in code using **IDs** as first bind variable and **statuses** as the second bind variable:
update results_dummy as rd
set    status=new.status, updated_at=now()
from (select unnest(:1::int[]) as id,unnest(:2::text[]) as status) as new
where rd.id=new.id;

根据@Roman的解决方案，可以设置多个值:

update users as u set -- postgres FTW
  email = u2.email,
  first_name = u2.first_name,
  last_name = u2.last_name
from (values
  (1, 'hollis@weimann.biz', 'Hollis', 'Connell'),
  (2, 'robert@duncan.info', 'Robert', 'Duncan')
) as u2(id, email, first_name, last_name)
where u2.id = u.id;

除了其他答案、注释和文档之外，数据类型转换还可以放在使用上。这允许更容易的复制粘贴:

update test as t set
    column_a = c.column_a::number
from (values
    ('123', 1),
    ('345', 2)  
) as c(column_b, column_a) 
where t.column_b = c.column_b::text;

你也可以使用update…从语法和使用映射表。如果你想要更新多个列，它是更一般化的:

update test as t set
    column_a = c.column_a
from (values
    ('123', 1),
    ('345', 2)  
) as c(column_b, column_a) 
where c.column_b = t.column_b;

你可以添加任意多的列:

update test as t set
    column_a = c.column_a,
    column_c = c.column_c
from (values
    ('123', 1, '---'),
    ('345', 2, '+++')  
) as c(column_b, column_a, column_c) 
where c.column_b = t.column_b;

SQL演示

遇到过类似的场景，CASE表达式对我很有用。

UPDATE reports SET is_default = 
case 
 when report_id = 123 then true
 when report_id != 123 then false
end
WHERE account_id = 321;

Reports -是这里的一个表，account_id与上面提到的report_ids相同。上面的查询将1条记录(符合条件的那条)设置为true，所有不匹配的记录设置为false。