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UPDATE .. SET ROW
Applies to ✅ Open Source Edition ✅ Express Edition ✅ Professional Edition ✅ Enterprise Edition
The SET clause allows for setting ROW value expressions on updated records in a table.
UPDATE AUTHOR
SET (FIRST_NAME, LAST_NAME) =
('Hermann', 'Hesse')
WHERE ID = 3;
create.update(AUTHOR)
.set(row(AUTHOR.FIRST_NAME, AUTHOR.LAST_NAME),
row("Herman", "Hesse"))
.where(AUTHOR.ID.eq(3))
.execute();
This can be particularly useful when using correlated subqueries in the SET clause, in case of which multiple columns can be updated with a single subquery, instead of only 1. See also UPDATE .. FROM for an alternative syntax for this scenario.
UPDATE AUTHOR
SET (FIRST_NAME, LAST_NAME) = (
SELECT PERSON.FIRST_NAME, PERSON.LAST_NAME
FROM PERSON
WHERE PERSON.ID = AUTHOR.ID
)
WHERE ID = 3;
create.update(AUTHOR)
.set(row(AUTHOR.FIRST_NAME, AUTHOR.LAST_NAME),
select(PERSON.FIRST_NAME, PERSON.LAST_NAME)
.from(PERSON)
.where(PERSON.ID.eq(AUTHOR.ID))
)
.where(AUTHOR.ID.eq(3))
.execute();
The above row value expressions usages are completely typesafe.
Dialect support
This example using jOOQ:
update(BOOK).set(row(BOOK.TITLE, BOOK.LANGUAGE_ID), row("New Title", 1))
Translates to the following dialect specific expressions:
ASE, Access, Aurora MySQL, Derby, Exasol, Firebird, Informix, MariaDB, MemSQL, MySQL, SQLDataWarehouse, SQLServer, Sybase
UPDATE BOOK SET BOOK.TITLE = 'New Title', BOOK.LANGUAGE_ID = 1
Aurora Postgres, CockroachDB, DB2, H2, HSQLDB, Trino
UPDATE BOOK
SET
(TITLE, LANGUAGE_ID) = ('New Title', 1)
BigQuery
UPDATE BOOK SET BOOK.TITLE = 'New Title', BOOK.LANGUAGE_ID = 1 WHERE TRUE
ClickHouse
UPDATE BOOK SET TITLE = 'New Title', LANGUAGE_ID = 1 WHERE TRUE
DuckDB, Redshift, SQLite, Snowflake, Teradata, Vertica
UPDATE BOOK SET TITLE = 'New Title', LANGUAGE_ID = 1
Hana
UPDATE BOOK
FROM BOOK
SET
(TITLE, LANGUAGE_ID) = ('New Title', 1)
Oracle
UPDATE BOOK
SET
(TITLE, LANGUAGE_ID) = (
SELECT 'New Title', 1
)
Postgres, YugabyteDB
UPDATE BOOK
SET
(TITLE, LANGUAGE_ID) = ROW ('New Title', 1)
Generated with jOOQ 3.20. Translate your own SQL on our website
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