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Example code of betoalien/pardox-php

Informations about the package pardox-php

PardoX for PHP — High-Performance DataFrame Engine

Packagist License: MIT PHP 8.1+ Powered By Rust

The Speed of Rust. The Simplicity of PHP.

PardoX is a high-performance DataFrame engine for PHP. A single Rust core handles all computation — CSV parsing, arithmetic, database I/O, sorting, GroupBy, Window functions, and more — exposed to PHP through the native FFI extension. No Python. No Node. No middleware.

v0.3.2 is now available. PRDX streaming to PostgreSQL (150M rows validated), GroupBy, String & Date ops, Window functions, Lazy pipeline, SQL over DataFrames, Encryption, Data Contracts, Time Travel, Arrow Flight, Linear Algebra, REST Connector, and 29 total gap features — all from PHP.

⚡ Why PardoX for PHP?

Capability How
Zero-copy ingestion Multi-threaded Rust CSV parser — no PHP string processing
SIMD arithmetic AVX2 / NEON — 5x–20x faster than PHP loops
Native database I/O Rust drivers for PostgreSQL, MySQL, SQL Server, MongoDB — no PHP extensions needed
PRDX Streaming Stream 150M-row files to PostgreSQL at ~145k rows/s with O(block) RAM
GPU sort WebGPU Bitonic sort with transparent CPU fallback
GroupBy + Window Aggregations, rolling, rank, lag/lead — pure Rust
No dependencies Only requires PHP's built-in ext-ffi and ext-json
Cross-platform Linux x64 · Windows x64 · macOS Intel · macOS Apple Silicon

📦 Installation

Requirements:

Enable the FFI extension:

🚀 Quick Start

🗄️ What's New in v0.3.2

PRDX Streaming to PostgreSQL

Stream a .prdx file directly to PostgreSQL — without loading the file into RAM. O(block) memory regardless of file size.

Approach RAM used
read_prdx() then to_sql() Entire file (3.8 GB for 150M rows)
IO::write_sql_prdx() O(one block) — typically < 200 MB

GroupBy Aggregation

String & Date Operations

Window Functions

Lazy Pipeline

SQL over DataFrames

Encryption

Data Contracts

🗄️ Database I/O

1. Relational Conqueror — PostgreSQL, MySQL, SQL Server, MongoDB

Write modes:

Database append replace upsert
PostgreSQL INSERT (COPY for >10k rows) — ON CONFLICT DO UPDATE
MySQL INSERT 1k/stmt (LOAD DATA for >10k) REPLACE INTO ON DUPLICATE KEY UPDATE
SQL Server INSERT 500/stmt INSERT 500/stmt MERGE INTO
MongoDB insert_many 10k/batch drop + insert_many —

Note on SQL Server passwords: A known issue in the tiberius v0.12 Rust driver causes authentication failure when ! is present in the password. Use only [A-Za-z0-9_\-@#$]. Fix planned for v0.4.0.

📋 Full API Overview

DataFrame — Factory Methods

DataFrame — Properties

DataFrame — Inspection

DataFrame — Arithmetic & Transform

DataFrame — GroupBy & Aggregation

DataFrame — Window Functions

DataFrame — String Operations

DataFrame — Series Operators

Series — Aggregations

Observer

Write

IO — Static Helpers

📊 Benchmarks

Operation PHP PDO / loops PardoX v0.3.2 Speedup
Read CSV (1 GB) ~12s ~0.8s ~15x
Column multiply (1M rows) ~0.8s ~0.02s ~40x
PostgreSQL write 50k rows ~20s (PDO execute) ~0.6s (COPY) ~33x
MySQL write 50k rows ~25s (PDO execute) ~3s (batch INSERT) ~8x
PRDX → PostgreSQL 150M rows N/A ~1,032s 145k rows/s

🗺️ Roadmap

Version Status Highlights
v0.1 ✅ Released CSV, arithmetic, aggregations, .prdx format
v0.3.1 ✅ Released Databases (PG/MySQL/MSSQL/MongoDB), Observer, Math, GPU sort
v0.3.2 ✅ Released PRDX Streaming, GroupBy, Window, String/Date, Lazy, Encryption, Data Contracts, Time Travel, Arrow Flight, Linear Algebra, REST Connector — 29 features
v0.4.0 🔜 Planned SQL Server ! password fix, structured error codes, Apache Parquet, Kafka, S3

🌐 Platform Support

OS Architecture Status
Linux x86_64 ✅ Stable
Windows x86_64 ✅ Stable
macOS ARM64 (M1/M2/M3) ✅ Stable
macOS x86_64 (Intel) ✅ Stable

📘 Documentation

Full Documentation →

📄 License

MIT License — free for commercial and personal use.

by Alberto Cardenas
www.albertocardenas.com · www.pardox.io

All versions of pardox-php with dependencies

PHP Build Version
Package Version
Requires php Version >=8.1
ext-ffi Version *
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