plprql
plprql
plprql : Use PRQL in PostgreSQL - Pipelined Relational Query Language
Overview
| ID | Extension | Package | Version | Category | License | Language |
|---|---|---|---|---|---|---|
| 3040 | plprql | plprql | 18.0.1 | LANG | Apache-2.0 | Rust |
| Attribute | Has Binary | Has Library | Need Load | Has DDL | Relocatable | Trusted |
|---|---|---|---|---|---|---|
--s-d-- | No | Yes | No | Yes | no | no |
| Relationships | |
|---|---|
| See Also | pg_tle plpgsql plv8 plperl plpython3u pllua hstore_pllua plluau |
Packages
| Type | Repo | Version | PG Major Compatibility | Package Pattern | Dependencies |
|---|---|---|---|---|---|
| EXT | PIGSTY | 18.0.1 | 18 17 16 15 14 | plprql | - |
| RPM | PIGSTY | 18.0.1 | 18 17 16 15 14 | plprql_$v | - |
| DEB | PIGSTY | 18.0.1 | 18 17 16 15 14 | postgresql-$v-plprql | - |
| Linux / PG | PG18 | PG17 | PG16 | PG15 | PG14 |
|---|---|---|---|---|---|
el8.x86_64 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 |
el8.aarch64 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 |
el9.x86_64 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 |
el9.aarch64 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 |
el10.x86_64 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 |
el10.aarch64 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 |
d12.x86_64 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 |
d12.aarch64 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 |
d13.x86_64 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 |
d13.aarch64 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 |
u22.x86_64 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 |
u22.aarch64 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 |
u24.x86_64 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 |
u24.aarch64 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 | PIGSTY 18.0.1 |
Source
pig build pkg plprql; # build rpm/debInstall
Make sure PGDG and PIGSTY repo available:
pig repo add pgsql -u # add both repo and update cacheInstall this extension with pig:
pig install plprql; # install via package name, for the active PG version
pig install plprql -v 18; # install for PG 18
pig install plprql -v 17; # install for PG 17
pig install plprql -v 16; # install for PG 16
pig install plprql -v 15; # install for PG 15
pig install plprql -v 14; # install for PG 14Create this extension with:
CREATE EXTENSION plprql;Usage
plprql: Use PRQL in PostgreSQL - Pipelined Relational Query Language
plprql enables writing PostgreSQL functions using PRQL (Pipelined Relational Query Language), a modern language that compiles to SQL with a pipeline syntax.
CREATE EXTENSION plprql;Create Functions with PRQL
CREATE FUNCTION match_stats(int)
RETURNS TABLE(player text, kd_ratio float) AS $$
from matches
filter match_id == $1
group player (
aggregate {
total_kills = sum kills,
total_deaths = sum deaths
}
)
filter total_deaths > 0
derive kd_ratio = total_kills / total_deaths
select { player, kd_ratio }
$$ LANGUAGE plprql;
SELECT * FROM match_stats(42);Execute PRQL Directly
SELECT prql('from matches | filter player == "Player1"')
AS (id int, match_id int, player text, kills int)
LIMIT 2;Use Cursors for Large Results
SELECT prql('from matches | filter player == "Player1"', 'cursor_name');
FETCH 2 FROM cursor_name;Inspect Compiled SQL
SELECT prql_to_sql('from matches | filter player == "Player1"');PRQL Syntax Overview
PRQL uses pipeline transformations:
from employees # data source
filter department == "Engineering" # row filtering
derive monthly_salary = salary / 12 # computed columns
sort {-monthly_salary} # sorting (- for descending)
select {name, monthly_salary} # column projection
take 10 # limit rowsLimitations
PRQL only supports SELECT statements. For INSERT, UPDATE, and DELETE, use SQL or PL/pgSQL.
Last updated on