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Informations about the package pducky

Pducky

High-performance PHP adapter for DuckDB that executes SQL queries directly on massive datasets (CSV, JSON, Parquet) without preprocessing or imports. Features SQLite-compatible interface, FFI integration, and intelligent CSV parsing for zero-ETL analytics on files up to gigabytes in size.

Benchmark:

Tested with a large CSV dataset containing 1 million rows (150 MB) using PHP v8.3.

Note: No optimizations were applied. The benchmark includes database creation from compressed CSV and query execution.

CPU Memory Disk OS Timing
i7 (13K) 32 Go NVMe Windows 10 Pro x64 2.19s
i7 (8) 8 Go NVMe Windows 10 Pro x64 3.054s
Xeon (E22) 16 Go SSD Linux Debian 11 3.58s
i3 (3) 8 Go SSD Windows 10 Pro x64 30.23s

Requirements:

Install:

Test:

Examples:

Fetch single value:

Fetch rows:

Create database:

Create database data with table product from a compressed CSV file data.csv.gz.

Loader query (FFI):

References:

Authors:

⭐ Support:

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All versions of pducky with dependencies

PHP Build Version
Package Version
Requires php Version >=7.4
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