Reputation: 1719
I'm creating a select statement that combines two tables, zone
and output
,
based on a referenced device
table and on a mapping of zone_number
to output_type_id
.
The mapping of zone_number
to output_type_id
doesn't appear
anywhere in the database, and I would like to create it "on-the-fly" within the select
statement. Below is my schema:
CREATE TABLE output_type (
id INTEGER NOT NULL,
name TEXT,
PRIMARY KEY (id)
);
CREATE TABLE device (
id INTEGER NOT NULL,
name TEXT,
PRIMARY KEY (id)
);
CREATE TABLE zone (
id SERIAL NOT NULL,
device_id INTEGER NOT NULL REFERENCES device(id),
zone_number INTEGER NOT NULL,
PRIMARY KEY (id),
UNIQUE (zone_number)
);
CREATE TABLE output (
id SERIAL NOT NULL,
device_id INTEGER NOT NULL REFERENCES device(id),
output_type_id INTEGER NOT NULL REFERENCES output_type(id),
enabled BOOLEAN NOT NULL,
PRIMARY KEY (id)
);
And here is some example data:
INSERT INTO output_type (id, name) VALUES
(101, 'Output 1'),
(202, 'Output 2'),
(303, 'Output 3'),
(404, 'Output 4');
INSERT INTO device (id, name) VALUES
(1, 'Test Device');
INSERT INTO zone (device_id, zone_number) VALUES
(1, 1),
(1, 2),
(1, 3),
(1, 4);
INSERT INTO output (device_id, output_type_id, enabled) VALUES
(1, 101, TRUE),
(1, 202, FALSE),
(1, 303, FALSE),
(1, 404, TRUE);
I need to get the associated enabled
field from the output table for each zone for a given device.
Each zone_number
maps to an output_type_id
. For this example:
zone_number | output_type_id
----------------------------
1 | 101
2 | 202
3 | 303
4 | 404
One way to handle the mapping would be to create a new table
CREATE TABLE zone_output_type_map (
zone_number INTEGER,
output_type_id INTEGER NOT NULL REFERENCES output_type(id)
);
INSERT INTO zone_output_type_map (zone_number, output_type_id) VALUES
(1, 101),
(2, 202),
(3, 303),
(4, 404);
And use the following SQL to get all zones, plus the enabled
flag, for device 1:
SELECT zone.*, output.enabled
FROM zone
JOIN output
ON output.device_id = zone.device_id
JOIN zone_output_type_map map
ON map.zone_number = zone.zone_number
AND map.output_type_id = output.output_type_id
AND zone.device_id = 1
However, I'm looking for a way to create the mapping of zone nunbers to output types without creating a new table and without piecing together a bunch of AND/OR statements. Is there an elegant way to create a mapping between the two fields within the select statement? Something like:
SELECT zone.*, output.enabled
FROM zone
JOIN output
ON output.device_id = zone.device_id
JOIN (
SELECT (
1 => 101,
2 => 202,
3 => 303,
4 => 404
) (zone_number, output_type_id)
) as map
ON map.zone_number = zone.zone_number
AND map.output_type_id = output.output_type_id
AND zone.device_id = 1
Disclaimer: I know that ideally the enabled
field would exist in the zone
table. However, I don't have control over that piece. I'm just looking for the
most elegant solution from the application side. Thanks!
Upvotes: 23
Views: 30396
Reputation: 6051
So just to complement the accepted answer, the following code is a valid, self-contained Postgresql expression which will evaluate to an 'inline' relation with columns (zone_number, output_type_id)
:
SELECT * FROM
(VALUES
(1, 101),
(2, 202),
(3, 303),
(4, 304)
) as i(zone_number, output_type_id)
(The (VALUES ... AS ...)
part alone will not make a valid expression, which is why I added the SELECT * FROM
.)
Upvotes: 15
Reputation: 434775
You can use VALUES
as an inline table and JOIN to it, you just need to give it an alias and column names:
join (values (1, 101), (2, 202), (3, 303), (4, 304)) as map(zone_number, output_type_id)
on ...
From the fine manual:
VALUES
can also be used where a sub-SELECT
might be written, for example in aFROM
clause:SELECT f.* FROM films f, (VALUES('MGM', 'Horror'), ('UA', 'Sci-Fi')) AS t (studio, kind) WHERE f.studio = t.studio AND f.kind = t.kind; UPDATE employees SET salary = salary * v.increase FROM (VALUES(1, 200000, 1.2), (2, 400000, 1.4)) AS v (depno, target, increase) WHERE employees.depno = v.depno AND employees.sales >= v.target;
Upvotes: 48
Reputation: 10392
JOIN
(SELECT 1 zone_number, 101 as output_type_id
UNION ALL
SELECT 2 zone_number, 202 as output_type_id
UNION ALL
SELECT 3 zone_number, 303 as output_type_id
) mappings on mappings.zone_number = zone.zone_number
Upvotes: 0