Return pre-UPDATE column values using SQL only

Question

I posted a related question, but this is another part of my puzzle.

I would like to get the OLD value of a column from a row that was UPDATEd - WITHOUT using triggers

Answer 1

Problem

The manual explains:

The optional RETURNING clause causes UPDATE to compute and return value(s) based on each row actually updated. Any expression using the table's columns, and/or columns of other tables mentioned in FROM, can be computed. The new (post-update) values of the table's columns are used. The syntax of the RETURNING list is identical to that of the output list of SELECT.

Bold emphasis mine. There is no way to access the old row in a RETURNING clause. You work around this restriction with a trigger or with a separate SELECT before the UPDATE, wrapped in a transaction as @Flimzy and @wildplasser commented, or wrapped in a CTE as @MattDiPasquale posted.

Solution without concurrent writes

However, what you are trying to achieve works perfectly fine if you join in another instance of the table in the FROM clause:

UPDATE tbl x
SET    tbl_id = 23
     , name = 'New Guy'
FROM   tbl y                -- using the FROM clause
WHERE  x.tbl_id = y.tbl_id  -- must be UNIQUE NOT NULL
AND    x.tbl_id = 3
RETURNING y.tbl_id AS old_id, y.name AS old_name
        , x.tbl_id          , x.name;

Returns:

 old_id | old_name | tbl_id |  name
--------+----------+--------+---------
  3     | Old Guy  | 23     | New Guy

The column(s) used to self-join must be UNIQUE NOT NULL. In the simple example, the WHERE condition is on the same column tbl_id, but that's just coincidence. Works for any conditions.

I tested this with PostgreSQL versions from 8.4 to 13.

It's different for INSERT:

• INSERT INTO ... FROM SELECT ... RETURNING id mappings

Solutions with concurrent write load

There are various ways to avoid race conditions with concurrent write operations on the same rows. (Note that concurrent write operations on unrelated rows are no problem at all.) The simple, slow and sure (but expensive) method is to run the transaction with SERIALIZABLE isolation level:

BEGIN ISOLATION LEVEL SERIALIZABLE;
UPDATE ... ;
COMMIT;

But that's probably overkill. And you need to be prepared to repeat the operation in case of a serialization failure.

Simpler and faster (and just as reliable with concurrent write load) is an explicit lock on the one row to be updated:

UPDATE tbl x
SET    tbl_id = 24
     , name = 'New Gal'
FROM  (SELECT tbl_id, name FROM tbl WHERE tbl_id = 4 FOR UPDATE) y 
WHERE  x.tbl_id = y.tbl_id
RETURNING y.tbl_id AS old_id, y.name AS old_name
        , x.tbl_id          , x.name;

Note how the WHERE condition moved to the subquery (again, can be anything), and only the self-join (on UNIQUE NOT NULL column(s)) remains in the outer query. This guarantees that only rows locked by the inner SELECT are processed. The WHERE conditions might resolve to a different set of rows a moment later.

See:

• Atomic UPDATE .. SELECT in Postgres

db<>fiddle here
_{Old sqlfiddle}