Dummy Product Concrete Extractor

Generates dummy product data and returns structured rows for concrete products. Supports bulk extraction, localization, store mappings, and category assignments.

Configuration

Name	Type	Description
numberOfProducts	Attribute	Total number of products to generate
numberOfLocales	Attribute	Number of locales for localized product descriptions (default: 1)
numberOfAttributes	Attribute	Number of attributes assigned to each product (default: 5)
numberOfStores	Attribute	Number of stores where the product is available (default: 1)
bulkSize	Attribute	Number of products extracted in each batch (default: 100)
localized	Attribute	Contains localized product descriptions and attributes (default: {})
storeIds	Attribute	Specifies the stores where the product is available (default: [1, 2, 3, 4, 5])
categoryIds	Attribute	Assigns each product to a category (default: Auto-assigned using modulo operation)
abstract_sku	Attribute	References an abstract product (default: "SKU_<numberOfProducts - i>")

Example

Input data

N/A (Data is dynamically generated based on configuration.)

Pipeline configuration

<dummy-product-concrete numberOfProducts="100" numberOfLocales="5" numberOfAttributes="10" numberOfStores="3" bulkSize="20" />

Output data

sku	localized	storeIds	categoryIds	attributes	abstract_sku
SKU_0	{}	[1, 2]	[10, 20]	{“attribute_0”: “Attribute value 0”, “attribute_1”: “Attribute value 1”}	SKU-100
SKU_1	{}	[1, 2]	[15, 25]	{“attribute_0”: “Attribute value 0”, “attribute_1”: “Attribute value 1”}	SKU-99

Error Handling

Error	Description
Incorrect Configuration	Throws an exception if the number of products or attributes are negative.
Invalid Attribute Format	JSON encoding errors may occur if attributes are improperly formatted.
Batch Processing Issues	If bulkSize is larger than numberOfProducts, batch splitting might be incorrect.

Performance Considerations

Consideration	Description
Use an appropriate ``bulkSize``	Small sizes improve memory efficiency but increase processing time.
Ensure attribute encoding is valid JSON	Avoids issues with data parsing.
Validate all parameters before execution	Prevents runtime exceptions.

Key Features

Feature	Description
Supports Bulk Product Extraction	Handles large datas