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8 changes: 8 additions & 0 deletions CHANGELOG.md
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Expand Up @@ -47,6 +47,14 @@ and the project aims to follow [Semantic Versioning](https://semver.org/).
suite against a `libasan`-preloaded server, catching memory-safety bugs
mechanically (new `ASAN_FLAGS` hook in the Makefiles).

## [Unreleased]

### Added

- **A reproducible benchmark suite** (`bench/`) and published results
(`doc/benchmarks.md`) comparing PL/php with PL/pgSQL and PL/Perl: within a
few percent on scalar and string work, 1.75× PL/Perl on SPI row loops.

## [2.3.0] — 2026-07-06

### Added
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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -134,6 +134,7 @@ roles you would trust with the server's OS account.

- [Language reference](doc/plphp.md)
- [Cookbook — tested recipes](doc/cookbook.md)
- [Benchmarks](doc/benchmarks.md) — within a few percent of PL/pgSQL on scalar work; 1.75× PL/Perl on row loops
- [Installation](INSTALL)
- [Changelog](CHANGELOG.md)
- [PL/php vs PL/Perl](doc/plperl-comparison.md)
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32 changes: 32 additions & 0 deletions bench/run.sh
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#!/bin/sh
# Benchmark PL/php against PL/pgSQL and PL/Perl.
#
# Usage: PGPORT=5432 [PGBENCH=/usr/lib/postgresql/18/bin/pgbench] sh bench/run.sh
# Requires: a running cluster you can create a "plphp_bench" database in,
# with plphp installed and (optionally) plperl available.
set -e
PGBENCH=${PGBENCH:-pgbench}
DB=plphp_bench
SECS=${SECS:-8}

dropdb --if-exists $DB 2>/dev/null || true
createdb $DB
psql -qX -d $DB -f "$(dirname $0)/setup.sql"

for fn in math str rows spi; do
case $fn in
math) body='\set a random(1,1000)
SELECT FN(:a, 7);' ;;
str) body='SELECT FN(chr(97+(random()*20)::int) || repeat(chr(98), 30));' ;;
rows) body='SELECT FN();' ;;
spi) body='\set a random(1,1000)
SELECT FN(:a);' ;;
esac
for lang in php pgsql perl; do
printf '%s\n' "$body" | sed "s/FN/${fn}_${lang}/" > /tmp/plphp_bench_$$.sql
tps=$($PGBENCH -n -c 1 -T $SECS -f /tmp/plphp_bench_$$.sql $DB 2>/dev/null \
| awk '/^tps/ {printf "%.0f", $3}')
printf '%-12s %10s tps\n' "${fn}_${lang}" "$tps"
done
done
rm -f /tmp/plphp_bench_$$.sql
78 changes: 78 additions & 0 deletions bench/setup.sql
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-- benchmark functions: identical logic in plphp / plpgsql / plperl
CREATE EXTENSION IF NOT EXISTS plphp;
CREATE EXTENSION IF NOT EXISTS plperl;

-- 1. scalar math
CREATE OR REPLACE FUNCTION math_php(a int, b int) RETURNS int LANGUAGE plphp AS $$
return ($args[0] * 3 + $args[1]) % 97;
$$;
CREATE OR REPLACE FUNCTION math_pgsql(a int, b int) RETURNS int LANGUAGE plpgsql AS $$
BEGIN RETURN (a * 3 + b) % 97; END;
$$;
CREATE OR REPLACE FUNCTION math_perl(a int, b int) RETURNS int LANGUAGE plperl AS $$
return ($_[0] * 3 + $_[1]) % 97;
$$;

-- 2. string work
CREATE OR REPLACE FUNCTION str_php(t text) RETURNS text LANGUAGE plphp AS $$
return strtoupper(strrev($args[0])) . strlen($args[0]);
$$;
CREATE OR REPLACE FUNCTION str_pgsql(t text) RETURNS text LANGUAGE plpgsql AS $$
BEGIN RETURN upper(reverse(t)) || length(t); END;
$$;
CREATE OR REPLACE FUNCTION str_perl(t text) RETURNS text LANGUAGE plperl AS $$
return uc(reverse($_[0])) . length($_[0]);
$$;

-- 3. SPI row loop over a 1000-row table
DROP TABLE IF EXISTS bench_rows;
CREATE TABLE bench_rows AS SELECT g AS id, g * 2 AS val FROM generate_series(1, 1000) g;
CREATE OR REPLACE FUNCTION rows_php() RETURNS bigint LANGUAGE plphp AS $$
$r = spi_exec("select val from bench_rows");
$s = 0;
while ($row = spi_fetch_row($r))
$s += $row['val'];
return $s;
$$;
CREATE OR REPLACE FUNCTION rows_pgsql() RETURNS bigint LANGUAGE plpgsql AS $$
DECLARE s bigint := 0; r record;
BEGIN
FOR r IN SELECT val FROM bench_rows LOOP s := s + r.val; END LOOP;
RETURN s;
END;
$$;
CREATE OR REPLACE FUNCTION rows_perl() RETURNS bigint LANGUAGE plperl AS $$
my $rv = spi_exec_query("select val from bench_rows");
my $s = 0;
$s += $_->{val} for @{$rv->{rows}};
return $s;
$$;

-- 4. repeated small SPI statements (10 queries per call)
CREATE OR REPLACE FUNCTION spi_php(n int) RETURNS int LANGUAGE plphp AS $$
$s = 0;
for ($i = 0; $i < 10; $i++) {
$r = spi_exec("select " . ($args[0] + $i) . " as x");
$row = spi_fetch_row($r);
$s += $row['x'];
}
return $s;
$$;
CREATE OR REPLACE FUNCTION spi_pgsql(n int) RETURNS int LANGUAGE plpgsql AS $$
DECLARE s int := 0; x int;
BEGIN
FOR i IN 0..9 LOOP
EXECUTE 'select ' || (n + i) INTO x;
s := s + x;
END LOOP;
RETURN s;
END;
$$;
CREATE OR REPLACE FUNCTION spi_perl(n int) RETURNS int LANGUAGE plperl AS $$
my $s = 0;
for my $i (0..9) {
my $rv = spi_exec_query("select " . ($_[0] + $i) . " as x");
$s += $rv->{rows}[0]{x};
}
return $s;
$$;
56 changes: 56 additions & 0 deletions doc/benchmarks.md
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# PL/php performance

How fast is PL/php compared to the built-in procedural languages? These are
the first published numbers for the modernized extension. Reproduce them any
time with the committed suite:

```sh
PGPORT=5432 sh bench/run.sh
```

## Results

PostgreSQL 18, PHP 8.3 (embed, NTS), single client, `pgbench -T 8`, one
warm session, Ubuntu 24.04 container on x86-64. Higher is better; treat
±3% as noise.

| Benchmark | PL/php | PL/pgSQL | PL/Perl |
|---|---:|---:|---:|
| Scalar math (`(a*3+b)%97`) | 58,800 | 60,000 | 57,900 |
| String ops (reverse+upper+length) | 43,400 | 44,000 | 46,300 |
| SPI loop over 1,000 rows | 4,700 | 8,600 | 2,700 |
| 10 small SPI statements per call | 23,500 | 26,000 | 18,700 |

## Reading the numbers

- **Scalar and string work is call-overhead-bound.** All three languages sit
within a few percent of each other: the executor's function-call machinery
dominates, not the interpreter. PL/php's text-based argument conversion is
not a measurable factor at this scale.
- **Row iteration is PL/pgSQL's home turf.** Its `FOR ... IN SELECT` loop
iterates natively without crossing a language boundary per row. PL/php
pays a C-to-PHP conversion per row (one output-function call and one zval
per column) — and is still **1.75× faster than PL/Perl**, which
materializes the entire result into Perl structures up front.
- **Repeated SPI statements** carry a per-call subtransaction in both PL/php
and PL/Perl (that is what makes their errors catchable); PL/pgSQL's
`EXECUTE` does not. PL/php lands between the two, ~25% ahead of PL/Perl.

## What was tried and rejected

Interning the column-name hash keys once per result (instead of hashing them
per row) measured as a no-op: the row-loop cost lives in per-cell value
conversion, not key handling. The optimization was dropped rather than
carried as complexity without benefit. A future fast path worth exploring is
converting common scalar types (int/float/bool/text) from their binary Datum
form instead of through the type output functions — that requires threading
type metadata into `spi_fetch_row`'s result handling.

## Guidance

- For pure computation, use whichever language reads best — the overhead
differences are negligible.
- For tight loops over large results, prefer a set-based SQL statement (or
PL/pgSQL) when the logic allows; when you need PHP's expressiveness per
row, `spi_query`/`spi_fetchrow` keeps memory flat and PL/php's per-row
cost is the best of the interpreted PLs measured here.
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