UNIFIED DATA PROCESSING FRAMEWORK

composer require flow-php/etl ~0.25.0

Changelog Release Cycle

Extracts

Read from various data sources.

Transforms

Shape and optimize for your needs.

Loads

Store and secure in one of many available data sinks.

Examples:

Description

There are also several predefined transformations, like for example select.
Select is also available directly through DataFrame::select() API.
Transformations are also great way for improving data processing pipelines readability.

Download

▶ ▼ composer.json

{
    "name": "flow-php/examples",
    "description": "Flow PHP - Examples",
    "license": "MIT",
    "type": "library",
    "require": {
        "flow-php/etl": "1.x-dev"
    },
    "minimum-stability": "dev",
    "config": {
        "allow-plugins": {
            "php-http/discovery": false
        }
    }
}

code.php

<?php

declare(strict_types=1);

use function Flow\ETL\DSL\{data_frame, from_array, select, to_stream};

require __DIR__ . '/vendor/autoload.php';

data_frame()
    ->read(
        from_array([
            ['id' => 1, 'first_name' => 'John', 'last_name' => 'Doe'],
            ['id' => 2, 'first_name' => 'Jane', 'last_name' => 'Smith'],
            ['id' => 3, 'first_name' => 'Bob', 'last_name' => 'Johnson'],
            ['id' => 4, 'first_name' => 'Alice', 'last_name' => 'Williams'],
        ])
    )
    ->with(select('id'))
    ->collect()
    ->write(to_stream(__DIR__ . '/output.txt', truncate: false))
    ->run();

Output

+----+
| id |
+----+
|  1 |
|  2 |
|  3 |
|  4 |
+----+
4 rows

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