fix: partitioning documentation

documentation/components/core/partitioning.md

@@ -107,4 +107,160 @@ $dataFrame->partitionBy('id'); // If IDs are unique, creates many tiny partition
 
 // Good partitioning - moderate cardinality
 $dataFrame->partitionBy('department'); // Assuming reasonable number of departments
-```
+```
+
+## Save Modes with Partitioning
+
+When writing partitioned data, the save mode determines how existing partition directories are handled.
+
+### Overwrite Mode
+
+```php
+<?php
+
+use function Flow\ETL\DSL\{data_frame, from_array, overwrite, ref};
+use function Flow\ETL\Adapter\CSV\to_csv;
+
+data_frame()
+    ->read(from_array([
+        ['date' => '2024-01-01', 'amount' => 100],
+        ['date' => '2024-01-02', 'amount' => 200],
+    ]))
+    ->partitionBy(ref('date'))
+    ->mode(overwrite())
+    ->write(to_csv(__DIR__ . '/output/sales.csv'))
+    ->run();
+```
+
+**Behavior:**
+- Removes ALL files within partition directories being written to
+- Partitions NOT in the current dataset are preserved
+- Running twice with the same partition values replaces the first write completely
+
+**Common pitfall:** If you write two separate DataFrames to the same partitions using `overwrite()`, the second write deletes data from the first:
+
+```php
+<?php
+
+// First write - creates date=2024-01-01/sales.csv with amount=100
+data_frame()
+    ->read(from_array([['date' => '2024-01-01', 'amount' => 100]]))
+    ->partitionBy(ref('date'))
+    ->mode(overwrite())
+    ->write(to_csv(__DIR__ . '/output/sales.csv'))
+    ->run();
+
+// Second write - DELETES the 100 and writes 200
+data_frame()
+    ->read(from_array([['date' => '2024-01-01', 'amount' => 200]]))
+    ->partitionBy(ref('date'))
+    ->mode(overwrite())
+    ->write(to_csv(__DIR__ . '/output/sales.csv'))
+    ->run();
+
+// Result: date=2024-01-01/sales.csv contains ONLY amount=200
+```
+
+To combine data from multiple sources into the same partition, use `append()` mode or merge data before writing.
+
+### Append Mode
+
+```php
+<?php
+
+data_frame()
+    ->read(from_array([['date' => '2024-01-01', 'amount' => 100]]))
+    ->partitionBy(ref('date'))
+    ->mode(append())
+    ->write(to_csv(__DIR__ . '/output/sales.csv'))
+    ->run();
+```
+
+**Behavior:**
+- Creates new files with randomized suffixes in existing partition directories
+- Does not remove existing files
+- Multiple runs accumulate files (may cause duplicates)
+
+### Ignore Mode
+
+```php
+<?php
+
+data_frame()
+    ->read(from_array([['date' => '2024-01-01', 'amount' => 100]]))
+    ->partitionBy(ref('date'))
+    ->mode(ignore())
+    ->write(to_csv(__DIR__ . '/output/sales.csv'))
+    ->run();
+```
+
+**Behavior:**
+- Skips writing if partition directory already exists
+- No error thrown, silently continues
+
+### Exception If Exists Mode (Default)
+
+```php
+<?php
+
+data_frame()
+    ->read(from_array([['date' => '2024-01-01', 'amount' => 100]]))
+    ->partitionBy(ref('date'))
+    ->write(to_csv(__DIR__ . '/output/sales.csv')) // Default mode
+    ->run();
+```
+
+**Behavior:**
+- Throws `RuntimeException` if any partition path already exists
+- Safest option to prevent accidental overwrites
+
+## Reading Partitioned Data
+
+Read partitioned data using glob patterns to match partition directories:
+
+```php
+<?php
+
+use function Flow\ETL\Adapter\CSV\from_csv;
+use function Flow\ETL\DSL\{data_frame, to_output};
+
+data_frame()
+    ->read(from_csv(__DIR__ . '/output/date=*/*.csv'))
+    ->write(to_output())
+    ->run();
+```
+
+### Partition Pruning
+
+Skip entire partitions without reading their contents using `filterPartitions()`:
+
+```php
+<?php
+
+data_frame()
+    ->read(from_csv(__DIR__ . '/output/date=*/department=*/*.csv'))
+    ->filterPartitions(ref('date')->greaterThanEqual(lit('2024-01-01')))
+    ->write(to_output())
+    ->run();
+```
+
+Unlike `filter()` which reads all data then discards non-matching rows, `filterPartitions()` evaluates partition metadata first and only reads matching partitions - significantly improving performance for large datasets.
+
+### Path Partitions
+
+Extract partition metadata without reading file contents using `from_path_partitions()`:
+
+```php
+<?php
+
+use function Flow\ETL\DSL\{data_frame, from_path_partitions, to_output};
+
+data_frame()
+    ->read(from_path_partitions(__DIR__ . '/output/date=*/department=*/*.csv'))
+    ->write(to_output())
+    ->run();
+
+// Output includes 'path' and 'partitions' columns
+```
+
+Useful for discovering available partitions or building file manifests before processing data.

src/core/etl/src/Flow/ETL/Filesystem/FilesystemStreams.php

@@ -41,9 +41,14 @@ public function closeStreams(Path $path) : void
 
                     if ($this->saveMode === SaveMode::Overwrite) {
                         if ($fileStream->path()->partitions()->count()) {
-                            $partitionFilesPatter = \Flow\Filesystem\DSL\path($fileStream->path()->parentDirectory()->uri() . '/*', $fileStream->path()->options());
+                            $filename = \str_replace(self::FLOW_TMP_FILE_PREFIX, '', $fileStream->path()->filename());
 
-                            foreach ($fs->list($partitionFilesPatter) as $partitionFile) {
+                            $partitionFilesPattern = \Flow\Filesystem\DSL\path(
+                                $fileStream->path()->parentDirectory()->uri() . '/' . $filename . '*.' . $fileStream->path()->extension(),
+                                $fileStream->path()->options()
+                            );
+
+                            foreach ($fs->list($partitionFilesPattern) as $partitionFile) {
                                 if (\str_contains($partitionFile->path->path(), self::FLOW_TMP_FILE_PREFIX)) {
                                     continue;
                                 }

src/core/etl/tests/Flow/ETL/Tests/Integration/Filesystem/FilesystemStreams/Partitioned/OverwriteMultipleFilesTest.php

@@ -0,0 +1,142 @@
+<?php
+
+declare(strict_types=1);
+
+namespace Flow\ETL\Tests\Integration\Filesystem\FilesystemStreams\Partitioned;
+
+use function Flow\ETL\DSL\overwrite;
+use function Flow\Filesystem\DSL\path;
+use Flow\ETL\Filesystem\FilesystemStreams;
+use Flow\ETL\Tests\Integration\Filesystem\FilesystemStreams\FilesystemStreamsTestCase;
+use Flow\Filesystem\Partition;
+
+final class OverwriteMultipleFilesTest extends FilesystemStreamsTestCase
+{
+    #[\Override]
+    protected function tearDown() : void
+    {
+        parent::tearDown();
+        $this->cleanFiles();
+    }
+
+    public function test_multiple_writes_to_same_partition_with_different_filenames() : void
+    {
+        $this->setupFiles([
+            __FUNCTION__ => [],
+        ]);
+
+        $salesStreams = $this->streams();
+        $salesFile = $this->getPath(__FUNCTION__ . '/sales.csv');
+        $salesStream = $salesStreams->writeTo($salesFile, partitions: [new Partition('partition', 'value')]);
+        $salesStream->append('sales data');
+        $salesStreams->closeStreams($salesFile);
+
+        $ordersStreams = $this->streams();
+        $ordersFile = $this->getPath(__FUNCTION__ . '/orders.csv');
+        $ordersStream = $ordersStreams->writeTo($ordersFile, partitions: [new Partition('partition', 'value')]);
+        $ordersStream->append('orders data');
+        $ordersStreams->closeStreams($ordersFile);
+
+        $files = \iterator_to_array($this->fs()->list(path($this->filesDirectory() . '/' . __FUNCTION__ . '/partition=value/*')));
+
+        self::assertCount(2, $files);
+
+        $basenames = \array_map(static fn ($file) => $file->path->basename(), $files);
+        \sort($basenames);
+
+        self::assertSame(['orders.csv', 'sales.csv'], $basenames);
+
+        $contentByBasename = [];
+
+        foreach ($files as $file) {
+            $contentByBasename[$file->path->basename()] = \file_get_contents($file->path->path());
+        }
+
+        self::assertSame('sales data', $contentByBasename['sales.csv']);
+        self::assertSame('orders data', $contentByBasename['orders.csv']);
+    }
+
+    public function test_overwrite_cleans_up_randomized_files_with_same_basename() : void
+    {
+        $streams = $this->streams();
+
+        $this->setupFiles([
+            __FUNCTION__ => [
+                'partition=value' => [
+                    'file_abc123.csv' => 'randomized file content',
+                    'file.csv' => 'original file content',
+                ],
+            ],
+        ]);
+
+        $file = $this->getPath(__FUNCTION__ . '/file.csv');
+        $fileStream = $streams->writeTo($file, partitions: [new Partition('partition', 'value')]);
+        $fileStream->append('overwritten content');
+        $streams->closeStreams($file);
+
+        $files = \iterator_to_array($this->fs()->list(path($this->filesDirectory() . '/' . __FUNCTION__ . '/partition=value/*')));
+
+        self::assertCount(1, $files);
+        self::assertSame('file.csv', $files[0]->path->basename());
+        self::assertSame('overwritten content', \file_get_contents($files[0]->path->path()));
+    }
+
+    public function test_overwrite_does_not_delete_files_with_different_basename() : void
+    {
+        $streams = $this->streams();
+
+        $this->setupFiles([
+            __FUNCTION__ => [
+                'partition=value' => [
+                    'sales.csv' => 'sales data',
+                ],
+            ],
+        ]);
+
+        $ordersFile = $this->getPath(__FUNCTION__ . '/orders.csv');
+        $ordersStream = $streams->writeTo($ordersFile, partitions: [new Partition('partition', 'value')]);
+        $ordersStream->append('orders data');
+        $streams->closeStreams($ordersFile);
+
+        $files = \iterator_to_array($this->fs()->list(path($this->filesDirectory() . '/' . __FUNCTION__ . '/partition=value/*')));
+
+        self::assertCount(2, $files);
+
+        $basenames = \array_map(static fn ($file) => $file->path->basename(), $files);
+        \sort($basenames);
+
+        self::assertSame(['orders.csv', 'sales.csv'], $basenames);
+    }
+
+    public function test_overwrite_replaces_file_with_same_basename() : void
+    {
+        $streams = $this->streams();
+
+        $this->setupFiles([
+            __FUNCTION__ => [
+                'partition=value' => [
+                    'file.csv' => 'old content',
+                ],
+            ],
+        ]);
+
+        $file = $this->getPath(__FUNCTION__ . '/file.csv');
+        $fileStream = $streams->writeTo($file, partitions: [new Partition('partition', 'value')]);
+        $fileStream->append('new content');
+        $streams->closeStreams($file);
+
+        $files = \iterator_to_array($this->fs()->list(path($this->filesDirectory() . '/' . __FUNCTION__ . '/partition=value/*')));
+
+        self::assertCount(1, $files);
+        self::assertSame('file.csv', $files[0]->path->basename());
+        self::assertSame('new content', \file_get_contents($files[0]->path->path()));
+    }
+
+    protected function streams() : FilesystemStreams
+    {
+        $streams = new FilesystemStreams($this->fstab());
+        $streams->setMode(overwrite());
+
+        return $streams;
+    }
+}

web/landing/.php-version

@@ -1 +1 @@
-8.3
+8.3.30

web/landing/content/examples/topics/partitioning/partition_pruning/description.md

@@ -0,0 +1 @@
+Skip entire partitions without reading their data using filterPartitions(). Unlike filter() which reads all data then filters, partition pruning evaluates metadata first and only reads matching partitions - dramatically improving performance for large datasets.

web/landing/content/examples/topics/partitioning/partitioning/append/_meta.yaml

@@ -0,0 +1,2 @@
+priority: 2
+hidden: false

web/landing/content/examples/topics/partitioning/partitioning/append/code.php

@@ -0,0 +1,26 @@
+<?php
+
+declare(strict_types=1);
+
+use function Flow\ETL\Adapter\CSV\to_csv;
+use function Flow\ETL\DSL\{append, data_frame, from_array, ref};
+
+require __DIR__ . '/vendor/autoload.php';
+
+data_frame()
+    ->read(from_array(
+        [
+            ['id' => 1, 'color' => 'red', 'sku' => 'PRODUCT01'],
+            ['id' => 2, 'color' => 'red', 'sku' => 'PRODUCT02'],
+            ['id' => 3, 'color' => 'red', 'sku' => 'PRODUCT03'],
+            ['id' => 4, 'color' => 'green', 'sku' => 'PRODUCT01'],
+            ['id' => 5, 'color' => 'green', 'sku' => 'PRODUCT02'],
+            ['id' => 6, 'color' => 'green', 'sku' => 'PRODUCT03'],
+            ['id' => 7, 'color' => 'blue', 'sku' => 'PRODUCT01'],
+            ['id' => 8, 'color' => 'blue', 'sku' => 'PRODUCT02'],
+        ]
+    ))
+    ->partitionBy(ref('color'), ref('sku'))
+    ->mode(append())
+    ->write(to_csv(__DIR__ . '/output/products.csv'))
+    ->run();

web/landing/content/examples/topics/partitioning/partitioning/append/description.md

@@ -0,0 +1 @@
+Write partitioned data with append mode. New files with randomized suffixes are created in partition directories without removing existing data. Useful for incremental updates.

web/landing/content/examples/topics/partitioning/partitioning/append/documentation.md

@@ -0,0 +1,2 @@
+- [Partitioning](/documentation/components/core/partitioning)
+- [Save Mode](/documentation/components/core/save-mode)

web/landing/content/examples/topics/partitioning/partitioning/documentation.md

@@ -1 +1,2 @@
 - [Partitioning](/documentation/components/core/partitioning)
+- [Save Mode](/documentation/components/core/save-mode)

web/landing/content/examples/topics/partitioning/partitioning/exception_if_exists/_meta.yaml

@@ -0,0 +1,2 @@
+priority: 4
+hidden: false

web/landing/content/examples/topics/partitioning/partitioning/exception_if_exists/code.php

@@ -0,0 +1,26 @@
+<?php
+
+declare(strict_types=1);
+
+use function Flow\ETL\Adapter\CSV\to_csv;
+use function Flow\ETL\DSL\{data_frame, exception_if_exists, from_array, ref};
+
+require __DIR__ . '/vendor/autoload.php';
+
+data_frame()
+    ->read(from_array(
+        [
+            ['id' => 1, 'color' => 'red', 'sku' => 'PRODUCT01'],
+            ['id' => 2, 'color' => 'red', 'sku' => 'PRODUCT02'],
+            ['id' => 3, 'color' => 'red', 'sku' => 'PRODUCT03'],
+            ['id' => 4, 'color' => 'green', 'sku' => 'PRODUCT01'],
+            ['id' => 5, 'color' => 'green', 'sku' => 'PRODUCT02'],
+            ['id' => 6, 'color' => 'green', 'sku' => 'PRODUCT03'],
+            ['id' => 7, 'color' => 'blue', 'sku' => 'PRODUCT01'],
+            ['id' => 8, 'color' => 'blue', 'sku' => 'PRODUCT02'],
+        ]
+    ))
+    ->partitionBy(ref('color'), ref('sku'))
+    ->mode(exception_if_exists())
+    ->write(to_csv(__DIR__ . '/output/products.csv'))
+    ->run();