[sql] Update multiple rows in same query using PostgreSQL

I'm looking to update multiple rows in PostgreSQL in one statement. Is there a way to do something like the following?

UPDATE table 
SET 
 column_a = 1 where column_b = '123',
 column_a = 2 where column_b = '345'

Let's say you have an array of IDs and equivalent array of statuses - here is an example how to do this with a static SQL (a sql query that doesn't change due to different values) of the arrays :

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;

In addition to other answers, comments and documentation, the datatype cast can be placed on usage. This allows an easier copypasting:

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;

Yes, you can:

UPDATE foobar SET column_a = CASE
   WHEN column_b = '123' THEN 1
   WHEN column_b = '345' THEN 2
END
WHERE column_b IN ('123','345')

And working proof: http://sqlfiddle.com/#!2/97c7ea/1

Based on the solution of @Roman, you can set multiple values:

update users as u set -- postgres FTW
  email = u2.email,
  first_name = u2.first_name,
  last_name = u2.last_name
from (values
  (1, '[email protected]', 'Hollis', 'O\'Connell'),
  (2, '[email protected]', 'Robert', 'Duncan')
) as u2(id, email, first_name, last_name)
where u2.id = u.id;

Came across similar scenario and the CASE expression was useful to me.

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

Reports - is a table here, account_id is same for the report_ids mentioned above. The above query will set 1 record (the one which matches the condition) to true and all the non-matching ones to false.

I don't think the accepted answer is entirely correct. It is order dependent. Here is an example that will not work correctly with an approach from the answer.

create table xxx (
    id varchar(64),
    is_enabled boolean
);

insert into xxx (id, is_enabled) values ('1',true);
insert into xxx (id, is_enabled) values ('2',true);
insert into xxx (id, is_enabled) values ('3',true);

UPDATE public.xxx AS pns
        SET is_enabled         = u.is_enabled
            FROM (
            VALUES
         (
            '3',
            false
         ,
            '1',
            true
         ,
            '2',
            false
         )
        ) AS u(id, is_enabled)
            WHERE u.id = pns.id;

select * from xxx;

So the question still stands, is there a way to do it in an order independent way?

---- after trying a few things this seems to be order independent

UPDATE public.xxx AS pns
        SET is_enabled         = u.is_enabled
            FROM (
            SELECT '3' as id, false as is_enabled UNION
            SELECT '1' as id, true as is_enabled UNION
            SELECT '2' as id, false as is_enabled
         ) as u
            WHERE u.id = pns.id;

For updating multiple rows in a single query, you can try this

UPDATE table_name
SET 
column_1 = CASE WHEN any_column = value and any_column = value THEN column_1_value end,
column_2 = CASE WHEN any_column = value and any_column = value THEN column_2_value end,
column_3 = CASE WHEN any_column = value and any_column = value THEN column_3_value end,
.
.
.
column_n = CASE WHEN any_column = value and any_column = value THEN column_n_value end

if you don't need additional condition then remove and part of this query