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benerator is a framework for creating realistic and valid high-volume test data, used for testing (unit/integration/load) and showcase setup. Metadata constraints are imported from systems and/or configuration files. Data can imported from and exported to files and systems, anonymized or generated from scratch. Domain packages provide reusable generators for creating domain-specific data as names and addresses internationalizable in language and region. It is strongly customizable with plugins and configuration options.

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		 !   Demonstration file for populating the shop database.    !
		 !                                                           !
		 !   You can choose a database and a stage like this:        !
		 !       -Dstage=development -Ddatabase=oracle               !
		 !                                                           !
		 !   These database types are provided:                      !
		 !       oracle, db2, sql_server, mysql, postgres, hsql,     !
		 !       hsqlmem, firebird, derby, h2                        !
		 !                                                           !
		 !   ...and these stage configurations:                      !
		 !       development, perftest                               !
		 !                                                           !
		 !   Set up your database connection in the file             !
		 !       <database>/shop.<database>.properties   !
		 !                                                           !
		 !   You may want to try different generation quantities in  !
		 !       shop.<stage>.properties                       !
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	setting default values
	
	
	
	
	
	
	
	import stage and database specific properties
	 
	

	log the settings to the console
	Starting generation for
	{ftl:  ${product_count + 6} products}
	{ftl:  ${customer_count + 1} customers}
	{ftl:  ${orders_per_customer} orders per customer}
	{ftl:  ${items_per_order} items per order}
	{ftl:encoding:${context.defaultEncoding} default pageSize:${context.defaultPageSize}}
	{ftl:JDBC URL: ${dbUrl}}
	
	
    define a database that will be referred by the id 'db' subsequently
    

	drop the current tables/sequences if they exist and recreate them
	
	
	
	

	Creating a valid base data set for regression testing by importing a DbUnit file
	

	Importing some more predefined products from a CSV file
	

	You could import them from a fixed column width file as well, e.g.
		iterate name="db_product" source="products.import.fcw" 
			pattern="ean_code[13],name[30],category_id[9],price[8r0],manufacturer[30]" consumer="db" /

	
		Creating products of random attributes and category and exporting them to 
		the database as well as to a fixed column width file
	
	
		
		
		
		
		
			
			
		
	

	
	

    create customers
    
        
        
        
        
        
        
        
            
            
            
            
            
            
            
            
                
                
            
        
    

	create orders for random customers and random products
	
        
		
        
	

	create order items
	
		
        
		
		
		
		
	

    Update order data, calculating the total sum of each order