How to update all columns with INSERT ... ON CONFLICT ...?
The UPDATE
syntax requires to explicitly name target columns.Possible reasons to avoid that:
- You have many columns and just want to shorten the syntax.
- You do not know column names except for the unique column(s).
"All columns"
has to mean "all columns of the target table" (or at least "leading columns of the table") in matching order and matching data type. Else you'd have to provide a list of target column names anyway.
Test table:
CREATE TABLE tbl ( id int PRIMARY KEY , text text , extra text);INSERT INTO tbl AS tVALUES (1, 'foo') , (2, 'bar');
1. DELETE
& INSERT
in single query instead
Without knowing any column names except id
.
Only works for "all columns of the target table". While the syntax even works for a leading subset, excess columns in the target table would be reset to NULL with DELETE
and INSERT
.
UPSERT (INSERT ... ON CONFLICT ...
) is needed to avoid concurrency / locking issues under concurrent write load, and only because there is no general way to lock not-yet-existing rows in Postgres (value locking).
Your special requirement only affects the UPDATE
part. Possible complications do not apply where existing rows are affected. Those are locked properly. Simplifying some more, you can reduce your case to DELETE
and INSERT
:
WITH data(id) AS ( -- Only 1st column gets explicit name! VALUES (1, 'foo_upd', 'a') -- changed , (2, 'bar', 'b') -- unchanged , (3, 'baz', 'c') -- new ), del AS ( DELETE FROM tbl AS t USING data d WHERE t.id = d.id -- AND t <> d -- optional, to avoid empty updates ) -- only works for complete rowsINSERT INTO tbl AS tTABLE data -- short for: SELECT * FROM dataON CONFLICT (id) DO NOTHINGRETURNING t.id;
In the Postgres MVCC model, an UPDATE
is largely the same as DELETE
and INSERT
anyway (except for some corner cases with concurrency, HOT updates, and big column values stored out of line). Since you want to replace all rows anyway, just remove conflicting rows before the INSERT
. Deleted rows remain locked until the transaction is committed. The INSERT
might only find conflicting rows for previously non-existing key values if a concurrent transaction happens to insert them concurrently (after the DELETE
, but before the INSERT
).
You would lose additional column values for affected rows in this special case. No exception raised. But if competing queries have equal priority, that's hardly a problem: the other query won for some rows. Also, if the other query is a similar UPSERT, its alternative is to wait for this transaction to commit and then updates right away. "Winning" could be a Pyrrhic victory.
About "empty updates":
No, my query must win!
OK, you asked for it:
WITH data(id) AS ( -- Only 1st column gets explicit name! VALUES -- rest gets default names "column2", etc. (1, 'foo_upd', NULL) -- changed , (2, 'bar', NULL) -- unchanged , (3, 'baz', NULL) -- new , (4, 'baz', NULL) -- new ), ups AS ( INSERT INTO tbl AS t TABLE data -- short for: SELECT * FROM data ON CONFLICT (id) DO UPDATE SET id = t.id WHERE false -- never executed, but locks the row! RETURNING t.id ), del AS ( DELETE FROM tbl AS t USING data d LEFT JOIN ups u USING (id) WHERE u.id IS NULL -- not inserted ! AND t.id = d.id -- AND t <> d -- avoid empty updates - only for full rows RETURNING t.id ), ins AS ( INSERT INTO tbl AS t SELECT * FROM data JOIN del USING (id) -- conflict impossible! RETURNING id )SELECT ARRAY(TABLE ups) AS inserted -- with UPSERT , ARRAY(TABLE ins) AS updated -- with DELETE & INSERT;
How?
- The 1st CTE
data
just provides data. Could be a table instead. - The 2nd CTE
ups
: UPSERT. Rows with conflictingid
are not changed, but also locked. - The 3rd CTE
del
deletes conflicting rows. They remain locked. - The 4th CTE
ins
inserts whole rows. Only allowed for the same transaction - The final SELECT is only for the demo to show what happened.
To check for empty updates test (before and after) with:
SELECT ctid, * FROM tbl; -- did the ctid change?
The (commented out) check for any changes in the row AND t <> d
works even with NULL values because we are comparing two typed row values according to the manual:
two NULL field values are considered equal, and a NULL is considered larger than a non-NULL
2. Dynamic SQL
This works for a subset of leading columns too, preserving existing values.
The trick is to let Postgres build the query string with column names from the system catalogs dynamically, and then execute it.
See related answers for code:
Erwin Brandstetter's answer seems to fail when the id
column is not the first column.
The following uses a snippet from one of his other answers to reproduce the 'return ins/ups' functionality in my case:
DO$do$BEGINEXECUTE (SELECT'DROP TABLE IF EXISTS res_tbl; CREATE TABLE res_tbl AS WITH ins AS ( INSERT INTO dest TABLE src -- short for: SELECT * FROM data ON CONFLICT (id) DO UPDATE SET id = dest.id WHERE false -- never executed, but locks the row! RETURNING id ), repl AS ( UPDATE dest SET (' || string_agg( quote_ident(column_name), ',') || ') = (' || string_agg('src.' || quote_ident(column_name), ',') || ') FROM src WHERE src.id = dest.id AND src <> dest -- avoids empty updates ¹ RETURNING dest.id ) SELECT ARRAY(TABLE ins) AS inserted -- with UPSERT , ARRAY(TABLE repl) AS updated -- with DYNAMIC UPDATE;'FROM information_schema.columnsWHERE table_name = 'src' -- table name, case sensitiveAND table_schema = 'public' -- schema name, case sensitiveAND column_name <> 'id' -- all columns except id));END$do$;
¹ Only works for full-row updates where all columns are comparable (e.g. jsonb
not json
).