Examples

Batching

Description

Control how many rows are processed at once. Larger batch sizes can improve processing speed but require more memory. There is no universal optimal batch size-it depends on your dataset and transformations.

To process all rows at once, use collect.

Documentation

Batch size decides how many rows travel through the pipeline together.

Batch Processing

Code

<?php

declare(strict_types=1);

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

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

data_frame()
    ->read(from_array([
        ['id' => 1, 'name' => 'John'],
        ['id' => 2, 'name' => 'Doe'],
        ['id' => 3, 'name' => 'Jane'],
        ['id' => 4, 'name' => 'Smith'],
        ['id' => 5, 'name' => 'Alice'],
    ]))
    ->batchSize(2)
    ->write(to_output(truncate: false))
    ->run();

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