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ARRAY_ALL_MATCH
Applies to ✅ Open Source Edition ✅ Express Edition ✅ Professional Edition ✅ Enterprise Edition
The ARRAY_ALL_MATCH function allows for checking if all array elements match a given predicate.
A few SQL dialects, including ClickHouse, DuckDB, and Trino have introduced higher order functions with a lambda syntax to help implement features like this one. jOOQ can map a Java lambda to a SQL lambda, and emulate the feature using standard SQL functionality (using UNNEST and ARRAY_AGG) if the function isn't available.
SELECT array_all_match(ARRAY[1, 2, 2, 3], e -> e > 0)
create.select(arrayAllMatch(array(1, 2, 2, 3), e -> e.gt(0))).fetch();
The result would look like this:
+-----------------+ | array_all_match | +-----------------+ | true | +-----------------+
Dialect support
This example using jOOQ:
arrayAllMatch(array(1, 2, 2, 3), e -> e.gt(0))
Translates to the following dialect specific expressions:
Aurora Postgres, CockroachDB, DuckDB, H2, HSQLDB, Postgres
(NOT EXISTS ( SELECT 1 one FROM UNNEST(ARRAY[1, 2, 2, 3]) t (e) WHERE NOT (e > 0) ))
BigQuery
(NOT EXISTS (
SELECT 1 one
FROM (
SELECT null e
FROM UNNEST([STRUCT(1 AS dual)]) AS dual
WHERE FALSE
UNION ALL
SELECT *
FROM UNNEST(ARRAY[1, 2, 2, 3]) t
) t
WHERE NOT (e > 0)
))
ClickHouse
arrayAll( e -> e > 0, ARRAY(1, 2, 2, 3) )
Trino
all_match( ARRAY[1, 2, 2, 3], e -> e > 0 )
ASE, Access, Aurora MySQL, DB2, Derby, Exasol, Firebird, Hana, Informix, MariaDB, MemSQL, MySQL, Oracle, Redshift, SQLDataWarehouse, SQLServer, SQLite, Snowflake, Sybase, Teradata, Vertica, YugabyteDB
/* UNSUPPORTED */
Generated with jOOQ 3.20. Translate your own SQL on our website
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